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AUGUST 21-23, 2018 CLEVELAND, OHIO
Transcript
Page 1: AUGUST 21- 23, 2018 • CLEVELAND, OHIO€¦ · Business Case 2.0: New Research Around High Performing Buildings Thursday 23 rd, 2018 10:30am – 12:00pm

A U G U S T 2 1 - 2 3 2 0 1 8 bull C L E V E L A N D O H I O

Business Case 20 New Research Around High Performing Buildings

Thursday 23rd 20181030am ndash 1200pm

Paul Mathew

Staff Scientist and Department Head of Whole Building SystemsLawrence Berkeley National Laboratory

Paolo Issler

Real Estate and Financial Markets Lab DirectorUniversity of California Berkeley

Erin Hopkins

Assistant Professor of Property ManagementVirginia Tech

Andrew White

Associate ManagerRE Tech Advisors

Panelists

Energy and Default Risk in Commercial Mortgages

4

Paulo IsslerReal Estate amp Financial Markets Lab DirectorUniversity of California Berkeley

5

Acknowledgements Holly Carr (US DOE) Cindy Zhu (US DOE)

Philip Coleman (LBNL) Jeff Deason (LBNL) Tianzhen Hong (LBNL) Paulo Issler (UCB) Paul Mathew (LBNL) Emily McLaughlin (IMT) Baptiste Ravache (LBNL) Kaiyu Sun (LBNL) Nancy Wallace (UCB)

6

The link between energy and CRE mortgages Net Operating Income (NOI) the key financial measure for CRE valuation and mortgage risk Energy cost is one of the largest components of Net Operating Income (NOI)

Energy prices are highly volatile Poor CRE property management can severely impact energy consumption

Current practice does not fully account for these factors in calculation of Net Operating Income (NOI) Usually based on historical average cost data if available Does not account for energy use and price volatility during mortgage term

Key question How much do these factors ldquomove the needlerdquo for NOI and default risk

Energy Use VolumeElectricity kWhkW fuel therms etc

Driven by bldg features operations climate

Energy Use Volatility+- change over mortgage term

Driven by bldg operations weather variation

Energy Price$kWh $kW $therm

Set by rate structure

Energy Price Volatility+- change over mortgage term

Driven by rate structure forward price curves

7

Approach Impact of energy on default rateMortgage Default Rate = f (EUI ElecPriceGap CouponSpread LTV Region more controlshellip)

TREPPLoan Dataset

geocode

Benchmark Disclosure

Dataset

Expanded Benchmark Disclosure

match

Combined TREPP mortgage performance and Benchmarking Disclosure Datasets

ISO ElectricityHH Nat Gas

Datasets

match amp calc

Interest Rate Proxy

Dataset

match amp calc

Empirical analysis combiningbull Mortgage loan data (TREPP) bull Energy use data (Benchmarking disclosure)

8

Default risk and source EUI (cont)

The coefficient estimates for BOTH the Electricity Price Gap and Source EUI are significant at better than the 05 level of statistical significance

bull The higher the Source EUI (the more energy usage per square foot) the higher the likelihood of default

bull The higher the Electricity Price Gap (the larger the difference between the actual and the expected electricity prices since the loan origination) the higher the likelihood of default

Office + Retail ndash Linear probability model

9

Default risk and source EUI

Coefficient Estimate Standard Error

Intercept -040444 018466Log Source EUI 007335 003129

Origination Loan-to-Value Ratio 000258 000096

Coupon Spread to 10 Year Treasury 002188 001565

Electricity Price Gap 000003 000001

Time to Maturity on Balloon -000189 000060

Origination Year Fixed Effects Yes

473 observations R2 = 1052 plt01 plt005 plt001

Office + Retail ndash Linear probability model

10

Default risk and source EUI (cont)

Coefficient estimates are significant and robust for three cohorts all buildings Office + multiuse + retail office only Coefficient estimates for electricity price gap significant for all buildings

office + multiuse + retail Consistent results for linear probability and logistic regression models

11

Analysis using Scaled Source EUI ndash Linear probability model

Ratio of Source EUI to NOI(floor area)

Default risk and source EUI (cont)

Coefficient Estimate Standard Error

Intercept -000538 011067Scaled Source EUI 000183 0000369

Origination Loan-to-Value Ratio 000263 000117

Coupon Spread to 10 Year Treasury 000751 0040

Electricity Price Gap 000003 000001

Time to Maturity on Balloon -000203 000068

Origination Year Fixed Effects Yes

339 observations R2 = 1768 plt01 plt005 plt001

Scaled Source EUI (Office + MU + Retail) ndash Linear probability model

12

What are the impacts on specific loansCollaborate with lenders to 1 Demonstrate impact of energy use and price on specific mortgage loans2 Develop recommendations

Approach Compile info from Appraisals PCAs

other sources Estimate source EUI variations

Simulation and empirical approaches

Compute electricity price gap using forward curves

Compute default risk impact due to source EUI and electricity price gap

13

Case Studies

Denver Office

Denver Hotel

San Francisco Multi-family

San Jose Office Sonoma Office

Denver Office ndash energy use and default riskFacilities Management factors HVAC schedule Thermostat setback Supply air temp control VAV min flow control Economizer controls Lighting controlsLevels good average poor

Occupancy factors Occupant density Occupant schedule Plug load density Plug load controlsLevels goodlow average poorhigh

CaseFacilities mgmtfactors

OccupancyFactors

Source EUI change ()

Default risk change (bp)

1 Good GoodLow -54 -248

2 Good Ave -33 -127

3 Ave Ave - -

4 Good PoorHigh +4 +12

5 Poor GoodLow +64 +158

6 Poor Ave +76 +181

7 Poor PoorHigh +132 +268

15

Denver Office ndash energy price and default risk

16

Case Studies ndash summary of risks impacts

Building Source EUI variation ()

Default rate variation (bp)

Default rate variation relative to TREPP avg ()

Denver Office -54 to +132 -248 to +268 -31 to +34

Sonoma Office -40 to +183 -161 to +331 -20 to +41

San Jose Office -62 to +119 -308 to +249 -39 to +31

Denver Hotel -11 to +17 -37 to +49 -5 to +6

San Francisco Multi-family -20 to +26 -72 to +74 -9 to +9

Wholesale price region Default rate variation (bp) Default rate variation relative to TREPP avg ()

Denver area +159 to +501 +20 to +63

Northern California -49 to +705 -6 to +88

Compare to TREPP average default rate of 800bp

17

Case Studies ndash business impactThese results showing the impact of energy on default risk are clearly meaningful I dont currently consider energy efficiency when making a loan and seeing this makes me think I would want to ask about itrdquo

I would like to apply these findings but would want an easy way to use it A simple score or ratio for energy risk would be good In fact I would be interested to pilot test it

Keith Hanley Silicon Valley Bank

18

Looking Ahead

Looking Ahead ndash our visionTo have energy factors fully and routinely incorporated in commercial mortgage valuation accelerating demand for buildings with lower energy risk

20

Show that energy matters

Develop and pilot

interventions Disseminate

best practices Institutionalize

Analysis of energy impacts

Long term

Case studies on actual mortgage loans

Protocols and tools for lenders and owners

Industry Standards

Scope of current effort

RecommendationsLenders Ask owners to provide info on energy cost range

Account for variations in energy use and energy price Could be done as part of Property Condition Assessment Can reference ASTM standard

Incorporate energy risk factor into underwriting and terms eg Interest rate discount for lower risk

Offer additional loan proceeds for EE investments

Owners Ask lenders to account for energy efficiency when setting mortgage

terms Provide data on energy costs to lender

Historical and anticipated In appraisal andor PCA

21

Thank you

Money Matters Exploring the Financial Impacts of Green Certifications in the Multifamily Rental Sector

Erin A Hopkins PhD CAPS LEED Green AssociateAssistant Professor of Property Management

bull Sample 153 properties from 2 of National Multifamily Housing Councilrsquos 2016 50 Largest Apartment Managers

bull Green-certified 2288 of properties (35 properties)bull Methodology Multiple Regression Analysisbull Controls Location Fitness Center Pool Outdoor Common Area Walk

Score of Unfurnished Apartments Average Apartment Unit Size Age Building Mix

bull Limitations Building class not directly taken into account

Overview of Research

Certifications Represented in Sample

Austin Energy Green Buildingreg (AEGB)

Rating System(3)

ENERGY STARreg

(1)

Florida Green Building Coalition

(FGBC)(1)

GreenPoint Rated(4)

LEEDreg

(16)

National Green Building Standardtrade

(NGBS)(11)

Properties by City

2

4

2 2 21 1

3

1 1 12 2

1 1 1

6

1 1

8

11

4

6

14

3

1

19

3

1 1

7

43

2

9

18

2 2

0

2

4

6

8

10

12

14

16

18

20

Summary Statistics of City Datan=153

Summary Satistics of City Data Green Bldgs Summary Satistics of City Data Non-Green Comparables

Descriptive

97

71

100

31

89

69

93

24

0

20

40

60

80

100

120

Fitness Center Pool Outdoor Common Area Mixed-Use Property

Summary Statistics of Green vs Non-Green Propertiesn = 153

Green Non-Green

Descriptive

73228

866

2011

74

259

894

2003

0

500

1000

1500

2000

2500

Walk Score Average Number of Units Average Apt Unit Size (sf) Age

Summary Statistics of Green vs Non-Green Properties

n = 153

Green Non-Green

Findings

Total Rents Collected1047

Total Maintenance1254

Property Insurance1319

Total Expenses1311

Higher rents and expenses

Financial Impacts of Green

Dependent Variable Per Square Foot Per Apartment Per PropertyTotal Rents Collected 247$ 2189$ 551683$ Subtotal Maintenance 020$ 178$ 44843$ Property Insurance 005$ 42$ 10601$ Total Expenses 112$ 990$ 249535$

Coefficients Standard Errors

Tables

Summary of Green Impacts

Summary Table

Discussion

bull Assume efficient operations will offset the higher rent

bull Philanthropic motivesbull Prestige motivesbull Green buildings tend to be newermore

likely to offer the more sought-after amenities and finishes

bull Tend to be in higher-income areaslikely have higher rents

Different motivations for paying higher rent may be in

play

Discussion

Higher Operating Expenses a Surprise

Does not align with much of the existing researchhellipbut no research on effects of green certification on total operating expenses within multifamily rental sector

Many of the certifications represented in this study focus on the design phase of the property vs the operations and maintenance phase

And although promotion of sustainability is on the rise in the multifamily housing sector staff may remain unfamiliar with the unique operations and maintenance of green

buildings

Final Thoughts

Apartment homes represent $13 trillion to the US economy and 5 million new rental households are expected by 2023 (National Multifamily Housing Council 2015)

Upfront capital constraints regulatory issues knowledge limitations and marketing concerns may diminish the attractiveness of multifamily rental green building

certification if not properly managed

Most studies focus on office sector andor strictly rents or property value

This study begins to look at the multifamily rental sector and offer a more comprehensive analysis

Further research is needed with larger datasets to understand effects of green certification on income statement components in the apartment industry as NOI

ultimately determines property market valueOptimism that this study can be the impetus for further research contributions on the

financial environmental and resident satisfaction impacts of green practices and certifications on the multifamily rental sector

Contact informationErin A Hopkinserinz1vtedu

Acknowledgementsbull Todd Feist Sustainability Program Manager at The Institute of

Real Estate Management (IREMreg) for his assistance with this research project

bull Yardi and IREMreg for the grant awarded to support this researchbull The two property management companies for sharing their data

BUILDING PERFORMANCE

UNLOCKINGVALUE

New DOE-driven Research Around High Performing Buildings

AUGUST 23 2018

ANDREW WHITEASSOCIATE MANAGERawhiteretechadvisorscom

2015-2016 bull Research design working group pilot study data lab

2017 bull Connect to Real Estate Research Institute (RERI) Literature review and gap analysis

2018 bull Research agenda request for proposals research project selection and execution

Context Setting ndash DOE Research EffortWhat are the impacts of energy efficiency and high-performance building

features on financial performance of commercial real estate

RERIrsquos mission is to encourage and reward research on real estate as an investment and as an asset class that is both academically rigorous and of value to the institutional real estate investment profession In addition RERI serves to provide a forum through which the real estate academic professional and regulatory communities can interact facilitating the exchange of insights amongst these stakeholders

RERI Overview

Sponsors

Build upon DOErsquos Review of Studies in the Market

bull Focus explicitly on peer-reviewed papers Gap analysis of existing research to

identifybull Questions that have already been

sufficiently provenbull Holes in existing body of research

Academic Inputbull Guidance on which studies to includebull Suggestions for how to conduct analysis

Literature Review Objectives

Literature Review Results

LEED

ENER

GY

ST

AR

labe

l

ENER

GY

ST

AR

sc

ore

Ener

gy u

se

BR

EEA

M

Ener

gy

Perf

orm

anc

e Cer

tific

ates

(U

K)

BO

MA

B

EST

Wal

kabi

lity

Non

-ene

rgy

gree

n fe

atur

es

Oth

er

Rent 20 18 1 2 2 2 1 1 1Rent concessions 1 1 1Sales price 9 11 1 1 1 1Assessed value 2 2Market value 1 2 1 2 1Occupancy 10 9 1Lease renewals 1 1 1Service charge 1Operating cost 2 3Energy cost 2 3Tenant satisfaction 1 1 1Sales time 1 1Default rate 2 1Capitalization rate 1 2 2 1Net operating income 1 1 1Loan to value ratio 1 1Debt service coverage ratio 1 1Worker productivity 1 1Other 5 4 1 4 2 2

There is considerable evidence that green building certifications correlate with increased economic value primarily via higher rents and sales prices

bull How do we move beyond certification to analyze performancebull Correlation vs Causation

bull What is driving added value Is it green features and efficiency the green labels themselves or other desirable features often included in certified buildings

Panel studies could help reduce some of the uncertainty and noise Full results presented at ACEEE Summer Study

bull Raising the Rent Premium Moving Green Building Research Beyond Certifications and Rent

bull Cindy Zhu Andrew White Paul Mathew Jeff Deason Philip Coleman

Literature Review Results

Research Agenda Core QuestionldquoHow does ltenergygreen metricgt affect ltfinancial value metricgtrdquo

EnergyGreen Metric

Site energy use or EUI

Source energy use or EUI

Energy cost or costsf

ENERGY STAR score

ENERGY STAR label

Green Building Certification (LEED BOMA 360)

Green Building Certification level (eg LEED Silver Gold)

Financial Value Metric

VacancyOccupancy Sales Price

Leasing Velocity (absorption speed of sales leasing)

Regulatory amp Compliance Risk

Tenant Renewals Insurance (rates ability)

Tenant Satisfaction Default Risk

Rental Income and Rent Concessions Debt Service Coverage Ratio

Marketing Costs Access to Funding

Utility Costs Maintenance OpEx Interest Rates

Obsolescence Reserves

Capitalization Rates

12 proposals received 5 projects selected Criteria

bull Department of Energy goals

bull Impact on Commercial Real Estate (CRE) Industry

bull Feasibility and Interest

bull Quality and Validity

Proposal Reviews

Jim Clayton Avis Devine (York University) and Rogier Holtermans(University of Guelph) Analyzing four types of energy

efficiency interventions on financial components that impact property-level NOI

bull How do interventions impact different aspects of building operations and their subsequent financial impact

Beyond Environmental Building Certification The Impact of Environmental Interventions on Commercial Real Estate Operations

Piet Eichholtz and Nils Kok (Maastricht University) and RogierHoltermans (University of Guelph) Three key questions

bull How is environmental building certification related to commercial building energy consumption

bull How does aging affect the energy consumption of the commercial building stock

bull To what extent do specific energy efficiency investments affect energy consumption in commercial real estate

The Dynamics of Energy Consumption in Commercial Real Estate

Sofia Dermisi Chris Lee and YoungjinChoe (University of Washington) Exploring the effect of disclosure

policies on office building marketability while assessing potential links between market performance of sustainable assets

bull Before and after the disclosure policies while considering market cycles

bull Before and after ENERGY STAR andor LEED certification

Markets included San Francisco Washington DC

Effect of Energy Benchmarking and Disclosure on Office Building Marketability

Dirk Brounen (Tilburg University) and Gianluca Marcato (Reading University) Analyzing the adoption of GRESB within the public real estate markets and

predicting a potential impact of GRESB scores on REIT returns

Sustainable Insights and Public Real Estate Performance GRESB Effects in REIT Markets

Constantine Kontokosta (New York University) Franz Fuerst(Cambridge University) Gary Pivo (University of Arizona) amp Jacob Sagi (UNC Chapel Hill) Utilizing NYC data to empirically model

bull the spread between the premium for labeled (energy efficient) buildings and the cost to retrofit an under-performing building to meet the same standard which will allow us to understand how much of the observed premium is attributable to energy efficiency and how much can be assigned to other perceived benefits (marketing construction quality etc)

bull the hurdle rate for energy retrofit investments using actual audit data and permitted renovation work

Estimating Office and Residential Building Energy Retrofit Hurdle Rates and Risk Arbitrage in Energy Efficiency Investments

Collecting data for continued Data Lab analysis Presenting Research findings

bull Interim research results ndash IPC Research Symposium (October)bull Greenbuild Session (November)bull RERI Research Conference (April)bull Final research results ndash Better Buildings Webinars Summit 2019 (TBA)

Work with DOE case study and data analysis opportunities abound

Next Steps

Paul Mathew

Lawrence Berkeley National Laboratorypamathewlblgov

Paulo Issler

University of California Berkeleypauloisslerberkeleyedu

Erin Hopkins

Virginia Techerinz1vtedu

Andrew White

RE Tech Advisorsawhiteretechadvisorscom

Contact Info

  • Slide Number 1
  • Business Case 20 New Research Around High Performing Buildings
  • Panelists
  • Energy and Default Risk in Commercial Mortgages
  • Paulo Issler
  • Acknowledgements
  • The link between energy and CRE mortgages
  • Approach Impact of energy on default rate
  • Default risk and source EUI (cont)
  • Default risk and source EUI
  • Default risk and source EUI (cont)
  • Default risk and source EUI (cont)
  • What are the impacts on specific loans
  • Case Studies
  • Denver Office ndash energy use and default risk
  • Denver Office ndash energy price and default risk
  • Case Studies ndash summary of risks impacts
  • Case Studies ndash business impact
  • Looking Ahead
  • Looking Ahead ndash our vision
  • Recommendations
  • Slide Number 22
  • Money Matters Exploring the Financial Impacts of Green Certifications in the Multifamily Rental SectorErin A Hopkins PhD CAPS LEED Green AssociateAssistant Professor of Property Management
  • Overview of Research
  • Certifications Represented in Sample
  • Properties by City
  • Descriptive
  • Descriptive
  • Findings
  • Financial Impacts of Green
  • Discussion
  • Discussion
  • Final Thoughts
  • Slide Number 34
  • Slide Number 35
  • Context Setting ndash DOE Research Effort
  • RERI Overview
  • Literature Review Objectives
  • Literature Review Results
  • Literature Review Results
  • Research Agenda Core Question
  • Proposal Reviews
  • Beyond Environmental Building Certification The Impact of Environmental Interventions on Commercial Real Estate Operations
  • The Dynamics of Energy Consumption in Commercial Real Estate
  • Effect of Energy Benchmarking and Disclosure on Office Building Marketability
  • Sustainable Insights and Public Real Estate Performance GRESB Effects in REIT Markets
  • Estimating Office and Residential Building Energy Retrofit Hurdle Rates and Risk Arbitrage in Energy Efficiency Investments
  • Next Steps
  • Contact Info
Y Term ~Bias Estimate EXP estimate Practical Interpretation increasedecrease Std Error DFDen t Ratio Probgt|t| Log(Vacancies amp Rent Loss rentable sf) Log(Total Rents Collected rentable sf) Log(Total Actual Collections rentable sf) Log(Management Fee rentable sf) Log(Total Utilities Rentable sf) Log(MampR rentable sf) Log(Subtotal Maintenance rentable sf) Log(Property Insurance rentable sf) Log(Total All Expenses Rentable sf) Log(NOI Rentable sf) Concessions rentable sf
Log(Vacancies amp Rent Loss rentable sf) Intercept 00893029328 10934118365 934 06116337119 1083785495375 01460072116 08841869197 Green Certified (1=yes 0=no)[Yes] -00318 01047 00991
Log(Vacancies amp Rent Loss rentable sf) Green Certified (1=yes 0=no)[Yes] -0031825668 09686754385 -313 009164153 139931853592 -03472843369 07288994904 Gym (1=yes 0=no)[Yes] 01060 00708 00767
Log(Vacancies amp Rent Loss rentable sf) Gym (1=yes 0=no)[Yes] 01007730854 11060256399 1060 01479591517 1412043780621 0681087207 0496931725 Pool (1=yes 0=no)[Yes] 01126 00089 00131
Log(Vacancies amp Rent Loss rentable sf) Pool (1=yes 0=no)[Yes] 01125884395 11191712315 1192 0113345701 506840641957 09933190097 032527325 Outdoor Common Area (1=yes 0=no)[Yes] 02673 -00803 -00764
Log(Vacancies amp Rent Loss rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 02672618233 13063824429 3064 01690835398 1429144230275 15806495624 01161688791 Walk Score 00102 00065 00066
Log(Vacancies amp Rent Loss rentable sf) Walk Score 00101642302 10102160615 102 00040763935 1219632686439 24934369735 00139912712 of Unfurnished Apartments -00003 -00009 -00008
Log(Vacancies amp Rent Loss rentable sf) of Unfurnished Apartments -0000250981 09997490505 -003 00006011213 142449410245 -04175214322 06769256723 Average Apt Unit Size -00003 -00002 -00002
Log(Vacancies amp Rent Loss rentable sf) Average Apt Unit Size -00002575258 09997425074 -003 00004990119 1315989429881 -05160713681 06066705884 Age -00026 00008 00015
Log(Vacancies amp Rent Loss rentable sf) Age -00026152008 09973882158 -026 00056263988 1391583522195 -04648090107 06427946925 Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00099 00043 00252
Log(Vacancies amp Rent Loss rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00099001013 10099492694 099 0100821633 1384002310718 00981942166 09219201454
Log(Total Rents Collected rentable sf) Intercept 30195696974 204824761253 194825 04164909532 1420770663705 72500246992 0
Log(Total Rents Collected rentable sf) Green Certified (1=yes 0=no)[Yes] 00996165255 11047471944 1047
Hopkins Erin Hopkins Erincant provide a confidencd interval for it
00590542761 1286416575023 16868638818 0094053065
Log(Total Rents Collected rentable sf) Gym (1=yes 0=no)[Yes] 00684081888 10708023088 708 0096210834 1330244953516 07110237581 04783143732
Log(Total Rents Collected rentable sf) Pool (1=yes 0=no)[Yes] 00088712036 10089106694 089 00916333982 708572236354 00968119025 09231490817
Log(Total Rents Collected rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00836597449 09197441505 -803 01126005752 1404546011941 -07429779537 04587359136
Log(Total Rents Collected rentable sf) Walk Score 0006479206 10065002414 065 0002794287 1413201347208 23187331419 00218436949
Log(Total Rents Collected rentable sf) of Unfurnished Apartments -00008678845 0999132492 -009 00003932429 1359586026848 -22069932213 00289920945
Log(Total Rents Collected rentable sf) Average Apt Unit Size -00002078918 09997921298 -002 00003300088 1382568544162 -06299582685 05297616269
Log(Total Rents Collected rentable sf) Age 00008364704 10008368204 008 00037477419 1387794745176 02231931757 08237133506
Log(Total Rents Collected rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00042999624 10043092206 043 0069466499 142786243042 00618998008 09507291881
Log(Total Actual Collections rentable sf) Intercept 30681072891 215011686418 205012 04070110501 1415072794017 75381424868 0
Log(Total Actual Collections rentable sf) Green Certified (1=yes 0=no)[Yes] 00944491888 10990533175 991 00578900924 1291837028308 16315259643 01052148631
Log(Total Actual Collections rentable sf) Gym (1=yes 0=no)[Yes] 00739127176 10767128233 767 0094247393 1335821297113 07842415071 04342868782
Log(Total Actual Collections rentable sf) Pool (1=yes 0=no)[Yes] 00130418887 10131273051 131 00885804441 654593026021 01472321442 08834013324
Log(Total Actual Collections rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00794248992 0923647384 -764 01101507414 1410305976559 -07210564195 04720684016
Log(Total Actual Collections rentable sf) Walk Score 00065530115 10065745295 066 00027272037 14047408887 24028316857 00175745575
Log(Total Actual Collections rentable sf) of Unfurnished Apartments -0000833078 09991672689 -008 00003850262 1365168778586 -21636916411 00322285543
Log(Total Actual Collections rentable sf) Average Apt Unit Size -00002169447 09997830788 -002 00003233576 1393662972101 -06709126047 05033865944
Log(Total Actual Collections rentable sf) Age 00015178151 10015189676 015 0003670824 1398532082324 04134807595 06798877496
Log(Total Actual Collections rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00249154485 10252284322 252 0067842812 1423468871242 03672525904 07139760316
Log(Management Fee rentable sf) Intercept -02128803278 08082528568 -1917 04254329778 585619088893 -0500385111 06186792644
Log(Management Fee rentable sf) Green Certified (1=yes 0=no)[Yes] 0019865513 10200641454 201 00593086525 1354977267554 03349513461 07381797603
Log(Management Fee rentable sf) Gym (1=yes 0=no)[Yes] -00082052627 09918283086 -082 00958032958 1386068833723 -00856469772 09318706455
Log(Management Fee rentable sf) Pool (1=yes 0=no)[Yes] 00174275629 10175803089 176 00771880661 202180965349 02257805358 08236388274
Log(Management Fee rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00153191452 10154370848 154 01103651216 1423896402644 01388042255 08898009734
Log(Management Fee rentable sf) Walk Score 00070459229 10070708039 071 00028008303 805559990921 25156550566 0013868745
Log(Management Fee rentable sf) of Unfurnished Apartments -0001358177 09986427449 -014 00003916726 1421224837061 -34676335479 00006950146
Log(Management Fee rentable sf) Average Apt Unit Size -00005130214 09994871101 -005 00003375961 1007585612206 -15196307445 0131735624
Log(Management Fee rentable sf) Age 00013613923 10013623194 014 00037151697 1277713043957 03664414822 07146417588
Log(Management Fee rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -00674463479 09347778721 -652 00657081953 1299283630266 -10264525997 03065854809
Log(Total Utilities Rentable sf) Intercept -03748562337 06873880949 -3126 04464274077 1402143832266 -08396801522 04025171642
Log(Total Utilities Rentable sf) Green Certified (1=yes 0=no)[Yes] 00873163337 10912418217 912 0064576715 1358457024729 13521334071 01785794114
Log(Total Utilities Rentable sf) Gym (1=yes 0=no)[Yes] 01175979311 11247917766 1248 01048349264 1384172144229 11217438221 02639135776
Log(Total Utilities Rentable sf) Pool (1=yes 0=no)[Yes] 00115680134 10116351816 116 00928512423 72633370166 01245865221 09011950626
Log(Total Utilities Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00222539972 10225034645 225 01216524447 1425571484619 01829309493 0855112103
Log(Total Utilities Rentable sf) Walk Score 00068649233 10068885409 069 00029812807 1396033046894 23026759291 00227754146
Log(Total Utilities Rentable sf) of Unfurnished Apartments -00006773222 09993229071 -007 00004273761 1401067188346 -15848386198 01152575495
Log(Total Utilities Rentable sf) Average Apt Unit Size -00003442022 0999655857 -003 00003581401 1425120147852 -09610825805 03381384619
Log(Total Utilities Rentable sf) Age 00048795122 10048914364 049 00040600929 1425855030198 12018227897 02314244716
Log(Total Utilities Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -01198355423 08870663096 -1129 00742421382 1413320388001 -16141176043 01087323819
Log(MampR rentable sf) Intercept -09030689887 04053238148 -5947 0437858541 1384008312652 -20624674504 00410332652
Log(MampR rentable sf) Green Certified (1=yes 0=no)[Yes] 00937424436 10982768413 983 00639155521 1376081716673 14666609392 01447499128
Log(MampR rentable sf) Gym (1=yes 0=no)[Yes] 00037664885 10037735907 038 01036113865 1396450691334 00363520715 09710535435
Log(MampR rentable sf) Pool (1=yes 0=no)[Yes] 01319613595 11410642271 1411 00887446725 719561267791 14869778183 0141389644
Log(MampR rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00521515872 09491849716 -508 01197720975 1428478988157 -04354235112 06639122497
Log(MampR rentable sf) Walk Score 00110131704 10110740386 111 00029197236 1385662208531 37719907631 00002391344
Log(MampR rentable sf) of Unfurnished Apartments -00008849955 09991153959 -009 00004219429 1410140957414 -20974297602 0037740228
Log(MampR rentable sf) Average Apt Unit Size 00000594506 10000594524 001 0000353075 1429981472006 01683796031 08665225748
Log(MampR rentable sf) Age 0007624822 1007653965 077 00039990018 142990029884 19066812998 00585678315
Log(MampR rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00598131349 10616381449 616 00727173027 1406732379184 08225433659 04121598071
Log(Subtotal Maintenance rentable sf) Intercept -07997344997 04494482769 -5506 0489167182 1380935604874 -16348899298 01043496414
Log(Subtotal Maintenance rentable sf) Green Certified (1=yes 0=no)[Yes] 01180969773 11253532398 1254 00707986514 1348907221481 16680681771 00976219515
Log(Subtotal Maintenance rentable sf) Gym (1=yes 0=no)[Yes] 00409351965 10417845921 418 01148796072 1378640116803 03563312718 07221372278
Log(Subtotal Maintenance rentable sf) Pool (1=yes 0=no)[Yes] 01515780559 11636691295 1637 0100780712 617547240206 15040383505 01376688864
Log(Subtotal Maintenance rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -0078076377 09248937833 -751 01331885868 1426567369893 -05862092154 05586613077
Log(Subtotal Maintenance rentable sf) Walk Score 0011889233 10119601909 120 00032614069 1377504918879 36454307183 00003773801
Log(Subtotal Maintenance rentable sf) of Unfurnished Apartments -00008153416 09991849907 -008 00004682078 1398534995511 -17414095506 00838107083
Log(Subtotal Maintenance rentable sf) Average Apt Unit Size 00005083484 10005084776 005 00003930253 1428434249161 12934242295 01979520949
Log(Subtotal Maintenance rentable sf) Age 00104106727 10104650523 105 00044515054 1428449267664 23386858733 00207383998
Log(Subtotal Maintenance rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 02440298206 12763823925 2764 0081177414 1402563601749 30061295196 00031359748
Log(Property Insurance rentable sf) Intercept -08916874806 04099633635 -5900 04516384713 1429624291993 -19743390727 00502702101
Log(Property Insurance rentable sf) Green Certified (1=yes 0=no)[Yes] 01239058141 11319092561 1319 0062692592 1281678143933 19764027959 00502564371
Log(Property Insurance rentable sf) Gym (1=yes 0=no)[Yes] -0003522638 09964835593 -035 01024969537 1314939748594 -0034368221 09726356404
Log(Property Insurance rentable sf) Pool (1=yes 0=no)[Yes] 00227423743 10230029538 230 01040308572 1125700947624 02186118131 08273482928
Log(Property Insurance rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00155809876 10157030041 157 01206677853 1368483458399 01291230096 08974498986
Log(Property Insurance rentable sf) Walk Score 00072977866 10073244804 073 00030353828 1428602075435 24042392705 00174877086
Log(Property Insurance rentable sf) of Unfurnished Apartments -00010061941 09989943119 -010 0000420017 1337858380697 -23956034086 00179774093
Log(Property Insurance rentable sf) Average Apt Unit Size -00006330482 09993671521 -006 00003514502 1338864329416 -18012458048 0073914725
Log(Property Insurance rentable sf) Age 00009661099 10009665767 010 00039921418 1338497494964 02420028921 08091483095
Log(Property Insurance rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -00520208103 09493091112 -507 00749301111 1411273861679 -06942577501 04886618561
Log(Total All Expenses Rentable sf) Intercept 17410862845 57035357214 47035 03946731547 141889623796 44114636723 00000201648
Log(Total All Expenses Rentable sf) Green Certified (1=yes 0=no)[Yes] 01231722438 11310792255 1311 00565275641 1341244163534 21789766772 00310802733
Log(Total All Expenses Rentable sf) Gym (1=yes 0=no)[Yes] 00096244971 10096709615 097 00919378962 1370603130567 01046847658 09167789899
Log(Total All Expenses Rentable sf) Pool (1=yes 0=no)[Yes] 01610294116 11747195186 1747 00846545666 801516751987 19021940341 00607378863
Log(Total All Expenses Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00361842114 09644626121 -355 01071504659 1418739239709 -03376953252 07360919324
Log(Total All Expenses Rentable sf) Walk Score 00087371658 10087754463 088 00026426023 1411809488418 33062734678 00011989895
Log(Total All Expenses Rentable sf) of Unfurnished Apartments -00008720665 09991283137 -009 00003752966 1389800988186 -23236728617 00215934791
Log(Total All Expenses Rentable sf) Average Apt Unit Size -0000155413 0999844599 -002 00003145108 1409449329598 -0494142052 06219751067
Log(Total All Expenses Rentable sf) Age 00015666155 10015678433 016 00035695206 1412387206124 04388868073 06614142124
Log(Total All Expenses Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00157918953 10159172462 159 00657593447 1424551160559 02401467861 08105616925
Log(NOI Rentable sf) Intercept 27416093787 155119295878 145119 049686036 1426328429735 55178669889 0000000157
Log(NOI Rentable sf) Green Certified (1=yes 0=no)[Yes] 00932241108 10977077159 977 00701671113 1292740226257 13286012361 01863200879
Log(NOI Rentable sf) Gym (1=yes 0=no)[Yes] 0111280688 11177085902 1177 0114413579 13320261997 09726178396 03325061802
Log(NOI Rentable sf) Pool (1=yes 0=no)[Yes] -00608871507 0940929417 -591 01107002034 838263437204 -05500184174 05837693269
Log(NOI Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -01393113526 08699571229 -1300 01340931949 1397855428856 -10389144106 03006382455
Log(NOI Rentable sf) Walk Score 00045000262 10045101666 045 0003337636 1423581725818 13482675372 01797136327
Log(NOI Rentable sf) of Unfurnished Apartments -00007116645 09992885887 -007 00004679272 1358400867851 -15208872073 01306124688
Log(NOI Rentable sf) Average Apt Unit Size -00001937801 09998062387 -002 00003921685 1372175013367 -04941245389 06220083144
Log(NOI Rentable sf) Age 00034607088 1003466704 035 00044548378 1376438770548 07768428318 04385844885
Log(NOI Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00488697769 10500835966 501 00828565286 1429949688826 05898120243 0556247504
Concessions rentable sf Intercept 0091580439 10959049266 959 12772069558 1418541020247 00717036801 09429387231
Concessions rentable sf Green Certified (1=yes 0=no)[Yes] 01110697527 11174728508 1175 01814813765 1293641668833 06120173584 05416004511
Concessions rentable sf Gym (1=yes 0=no)[Yes] -05094051331 06008529 -3991 02955403985 1336296409402 -17236395961 00870857294
Concessions rentable sf Pool (1=yes 0=no)[Yes] -00886152984 09151975838 -848 02791864929 69298361986 -03174053928 07518903943
Concessions rentable sf Outdoor Common Area (1=yes 0=no)[Yes] 04576291372 15803228114 5803 03455726285 1408379747117 13242632646 01875606951
Concessions rentable sf Walk Score 00120688741 10121419968 121 00085630896 1409791646097 14094064916 01609170757
Concessions rentable sf of Unfurnished Apartments -00007045588 09992956894 -007 00012075862 1364744404696 -05834438741 05605574922
Concessions rentable sf Average Apt Unit Size -00003193903 09996806607 -003 00010135961 1389703034326 -03151061148 07531537379
Concessions rentable sf Age 00130223218 10131074815 131 00115086772 139464867267 11315220311 02597773256
Concessions rentable sf Building Mix (0=multifamily 1 = mixed-use)[Mixed] -03719888249 06893619462 -3106 02129597676 1426034459287 -17467563435 00828326573
Y Term Practical Interpretation increasedecrease Probgt|t| Total Rents Collected Subtotal Maintenance Property Insurance Total Expenses
Log(Total Rents Collected rentable sf) Green Certified (1=yes 0=no)[Yes] 1047
Hopkins Erin Hopkins Erincant provide a confidencd interval for it
009 130837635934 13311489362 01847683215 67633617021
Log(Subtotal Maintenance rentable sf) Green Certified (1=yes 0=no)[Yes] 1254 010 267662568114 08839769656 0489370035 133484365708
Log(Property Insurance rentable sf) Green Certified (1=yes 0=no)[Yes] 1319 005 44887430941 07758149459 02417429373 41261056301
Log(Total All Expenses Rentable sf) Green Certified (1=yes 0=no)[Yes] 1311 003 103066299601 12390720963 00474343371 5067818194
206907297628 2385711159 02072356932 9194606526
318766961061 22633758919 04452208547 128154919371
92461669878 09545425866 01280485733 38832017239
143925847783 15966970999 02187893202 54018796992
176714125561 02006495648 02876780533 58992020575
232897515382 0726170332 00787094673 69517596041
Non-green sf average Financial Green Impact sf Financial green impact differencesf Green impactapt Green impactproperty 51780910259 05203453537 00494304264 22609306646
178353784788 17547710996 02048626598 95961490345
Total Rents Collected sf 1047 2356 2603 $ 247 $ 2189 $ 551683 113769814112 12206875575 03432049607 118156743193
Subtotal Maintenance sf 1254 160 180 $ 020 $ 178 $ 44843 301239240258 10561596849 0204970258 110903994641
Property Insurance sf 1319 036 041 $ 005 $ 42 $ 10601 918584487 08376649832 00914663991 4146546939
Total Expenses sf 1311 852 963 $ 112 $ 990 $ 249535 265183769576 19294929362 03500602344 108447158033
226055903548 13557897255 03988791741 10971207244
334894587007 17970717884 05122599181 124640467569
5542518821 31394328066 04875650977 200668786372
112655732059 13445692884 02031297086 43995867235
129139526152 1168069688 00518980213 4651511283
Avg Apt Size Avg of Units 151098478261 13975 02004130435 51873478261
192155046737 21015937064 02616549091 8357602264
887 252 514840434082 52766375656 02375463267 174375582672
81421971535 06694487849 00899424521 2748686222
30246817244 21594341279 03308639536 97277207077
488523197409 27727612187 0646599696 130752346177
318750561687 38903340576 03852711795 142409683793
310384048163 43119745565 03335824966 138846874251
Green Certification Impacts 48578215663 0350218077 03095574205 23695139998
Dependent Variable Per Square Foot Per Apartment Per Property 192237574111 13374121765 02053242615 84027476689
Total Rents Collected $ 247 $ 2189 $ 551683 62979912788 05343191729 00816289996 45390243161
Subtotal Maintenance $ 020 $ 178 $ 44843 148378959661 14651715909 02004049722 80900580942
Property Insurance $ 005 $ 42 $ 10601 196798863889 11267176542 02499920663 90266351433
Total Expenses $ 112 $ 990 $ 249535 281508617823 09686995581 01118170881 119863342059
58584849751 0106864586 04187933949 44180073736
126756167712 1265684516 02796423029 87538414144
176550549412 24957340254 02343899179 88904473415
252421786235 28063734042 03142238564 133776179357
191875932907 13637043757 03440324697 987034902
159508092934 13109374847 02091697013 98967206196
342739845467 09614092295 03929892961 129755936769
192510355167 32804720611 01743191858 134560085596
257829360401 13666691797 01527100011 56329812754
358622391559 14251973427 03437553732 101098436889
217744157919 24046486586 01864745418 68711016642
222112557003 22022148788 07879755849 97807110765
202535763689 04548110217 10003436751 127886698915
155879815194 23816051158 04816227091 119033557201
11066078843 23413202706 06413902496 81812176347
151924709838 18873401649 05711000232 105403544539
163604010853 16052949068 02714509557 82030431823
133974400047 11018949984 03560839935 59096477943
133528448829 13647819036 02538331588 66159357367
187400008959 16889788117 030870974 115752907975
155246293804 18308314258 03852380906 116657595614
34082816218 05447090935 09838411173 13641308574
201220131342 11192465065 03188344246 93786154242
139108532616 13313944086 03887737775 69698295902
191656858207 15717927807 06002115982 119380046581
200921599083 12597596226 03267106334 82474085087
57536742874 00453219212 00300766262 10569757217
120548294116 11607892527 03275736725 74435143659
123188534664 1404028789 03510968138 78762080781
59543029729 0899713372 01652374748 28143456117
144215639215 19193238703 02899837711 67370054173
340046684831 19619729415 04325060698 120608464163
208244777176 28183367899 037 73104355304
234349752613 19432301154 0351134881 107484594815
136370903402 17029933791 01989576534 50899930579
149968383478 14209793679 02735642323 63813718869
81145819519 0920766851 00474564037 30674168785
226307446224 12529424404 02036192613 69235920453
132787305462 08047482453 01232346659 41808605432
251519090044 21798380428 0376480317 80396623551
492269138212 12196979039 02981674812 128316943664
107177195916 08016374211 0113808252 40618650625
128238528886 10751217142 01843492552 6476830365
57582611557 11908427448 0874334536 134004066235
43835651097 34822540694 03904989384 146763800425
205787355386 1429219053 02624404931 5321754079
463148430769 07709353846 06150738462 101617384615
377949548611 28670972222 08296944444 109743576389
360087564176 03501711352 18551055334 110041072447
18371979614 18232783153 07267294459 61184870906
678035276363 13443501226 10431616676 167533484248
56073359244 10138647576 01591318768 51440832304
189431314891 05101557395 03677787459 41010945328
383550342095 23244425576 04086557393 98151764619
115544349685 03310482653 037 40344851625
7552318246 0955023726 01241945851 24368780848
133083101881 19451300341 00938801919 48731378614
122308363087 13760780005 01439989014 45100624828
84908269322 10857071617 01155797799 36082570734
263116048067 10733627163 041902582 60372732395
76183752731 09621126305 01069925907 26170373239
172494454001 11781600332 03919686814 59016193131
342076422068 22741368431 03165622465 73557085549
215534567901 1485497076 02210396361 49118778428
314593058927 23798916958 02751353803 121998559501
586535191691 21029046354 02109026171 91979074439
138093310078 14595490221 02142269839 44286283792
227203645682 04584630891 05737147639 93344680527
572754455737 17713614269 01642228739 92545561671
60603870458 04541110154 01180884676 15902125521
358781017266 33847643857 06854022643 139200146946
342079216629 24477703832 0463059603 67166143833
651201231187 51019950176 12529595849 222094150831
369798669702 21700816928 0444474205 101410502507
421838575952 28823013788 05443272608 151399739597
626095189209 20826275416 04947814184 184651096472
214882899762 25034709712 06359683889 109534721722
274037120739 26718517094 037 67504928595
252667703737 25588590114 05379535858 109041874345
59253832495 01099622961 04620367393 19262874847
150862851538 18053109961 07398729558 71488607075
111196959019 00928417366 037 09427894164
667360269858 07921160191 02989609494 104670639024
2356 160 036 852
Log(Vacancies amp Rent Loss rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified -00318 00916 -00313 07289
Fitness Center 01008 01480 01060 04969
Pool 01126 01133 01192 03253
Outdoor Common Area 02673 01691 03064 01162
Walk Score 00102 00041 00102 00140
of Unfurnished Apartments -00003 00006 -00003 06769
Average Apt Unit Size -00003 00005 -00003 06067
Age -00026 00056 -00026 06428
Building Mix 00099 01008 00099 09219
Note R2 = 645
Log(Total Rents Collected rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00996 00591 01047 00941
Fitness Center 00684 00962 00708 04783
Pool 00089 00916 00089 09231
Outdoor Common Area -00837 01126 -00803 04587
Walk Score 00065 00028 00065 00218
of Unfurnished Apartments -00009 00004 -00009 00290
Average Apt Unit Size -00002 00003 -00002 05298
Age 00008 00037 00008 08237
Building Mix 00043 00695 00043 09507
Note R2 = 3318
Log(Total Actual Collections rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00944 00579 00991 01052
Fitness Center 00739 00942 00767 04343
Pool 00130 00886 00131 08834
Outdoor Common Area -00794 01102 -00764 04721
Walk Score 00066 00027 00066 00176
of Unfurnished Apartments -00008 00004 -00008 00322
Average Apt Unit Size -00002 00003 -00002 05034
Age 00015 00037 00015 06799
Building Mix 00249 00678 00252 07140
Note R2 = 3219
Log(Management Fee rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00199 00593 00201 07382
Fitness Center -00082 00958 -00082 09319
Pool 00174 00772 00176 08236
Outdoor Common Area 00153 01104 00154 08898
Walk Score 00070 00028 00071 00139
of Unfurnished Apartments -00014 00004 -00014 00007
Average Apt Unit Size -00005 00003 -00005 01317
Age 00014 00037 00014 07146
Building Mix -00674 00657 -00652 03066
Note R2 = 1697
Log(Total Utilities Rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00873 00646 00912 01786
Fitness Center 01176 01048 01248 02639
Pool 00116 00929 00116 09012
Outdoor Common Area 00223 01217 00225 08551
Walk Score 00069 00030 00069 00228
of Unfurnished Apartments -00007 00004 -00007 01153
Average Apt Unit Size -00003 00004 -00003 03381
Age 00049 00041 00049 02314
Building Mix -01198 00742 -01129 01087
Note R2 = 2171
Log(MampR rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00937 00639 00983 01447
Fitness Center 00038 01036 00038 09711
Pool 01320 00887 01411 01414
Outdoor Common Area -00522 01198 -00508 06639
Walk Score 00110 00029 00111 00002
of Unfurnished Apartments -00009 00004 -00009 00377
Average Apt Unit Size 00001 00004 00001 08665
Age 00076 00040 00077 00586
Building Mix 00598 00727 00616 04122
Note R2 = 2620
Log(Subtotal Maintenance rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 01181 00708 01254 00976
Fitness Center 00409 01149 00418 07221
Pool 01516 01008 01637 01377
Outdoor Common Area -00781 01332 -00751 05587
Walk Score 00119 00033 00120 00004
of Unfurnished Apartments -00008 00005 -00008 00838
Average Apt Unit Size 00005 00004 00005 01980
Age 00104 00045 00105 00207
Building Mix 02440 00812 02764 00031
Note R2 = 3218
Log(Property Insurance rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 01239 00627 01319 00503
Fitness Center -00035 01025 -00035 09726
Pool 00227 01040 00230 08273
Outdoor Common Area 00156 01207 00157 08974
Walk Score 00073 00030 00073 00175
of Unfurnished Apartments -00010 00004 -00010 00180
Average Apt Unit Size -00006 00004 -00006 00739
Age 00010 00040 00010 08091
Building Mix -00520 00749 -00507 04887
Note R2 = 3902
Log(Total All Expenses Rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 01232 00565 01311 00311
Fitness Center 00096 00919 00097 09168
Pool 01610 00847 01747 00607
Outdoor Common Area -00362 01072 -00355 07361
Walk Score 00087 00026 00088 00012
of Unfurnished Apartments -00009 00004 -00009 00216
Average Apt Unit Size -00002 00003 -00002 06220
Age 00016 00036 00016 06614
Building Mix 00158 00658 00159 08106
Note R2 = 2943
Log(NOI Rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00932 00702 00977 01863
Fitness Center 01113 01144 01177 03325
Pool -00609 01107 -00591 05838
Outdoor Common Area -01393 01341 -01300 03006
Walk Score 00045 00033 00045 01797
of Unfurnished Apartments -00007 00005 -00007 01306
Average Apt Unit Size -00002 00004 -00002 06220
Age 00035 00045 00035 04386
Building Mix 00489 00829 00501 05562
Note R2 = 3669
Concessions rentable sf
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 01111 01815 01175 05416
Fitness Center -05094 02955 -03991 00871
Pool -00886 02792 -00848 07519
Outdoor Common Area 04576 03456 05803 01876
Walk Score 00121 00086 00121 01609
of Unfurnished Apartments -00007 00012 -00007 05606
Average Apt Unit Size -00003 00010 -00003 07532
Age 00130 00115 00131 02598
Building Mix -03720 02130 -03106 00828
Note R2 = 2402
Y Term ~Bias Estimate EXP estimate Practical Interpretation increasedecrease Std Error DFDen t Ratio Probgt|t| Estimate Std Error Practical Interpretation Significance
Log(Vacancies amp Rent Loss rentable sf) Intercept 00893029328 10934118365 934 06116337119 1083785495375 01460072116 08841869197 Green Cert
Log(Vacancies amp Rent Loss rentable sf) Green Certified (1=yes 0=no)[Yes] -0031825668 09686754385 -313 009164153 139931853592 -03472843369 07288994904 Gym
Log(Vacancies amp Rent Loss rentable sf) Gym (1=yes 0=no)[Yes] 01007730854 11060256399 1060 01479591517 1412043780621 0681087207 0496931725
Log(Vacancies amp Rent Loss rentable sf) Pool (1=yes 0=no)[Yes] 01125884395 11191712315 1192 0113345701 506840641957 09933190097 032527325
Log(Vacancies amp Rent Loss rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 02672618233 13063824429 3064 01690835398 1429144230275 15806495624 01161688791
Log(Vacancies amp Rent Loss rentable sf) Walk Score 00101642302 10102160615 102 00040763935 1219632686439 24934369735 00139912712
Log(Vacancies amp Rent Loss rentable sf) of Unfurnished Apartments -0000250981 09997490505 -003 00006011213 142449410245 -04175214322 06769256723
Log(Vacancies amp Rent Loss rentable sf) Average Apt Unit Size -00002575258 09997425074 -003 00004990119 1315989429881 -05160713681 06066705884
Log(Vacancies amp Rent Loss rentable sf) Age -00026152008 09973882158 -026 00056263988 1391583522195 -04648090107 06427946925
Log(Vacancies amp Rent Loss rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00099001013 10099492694 099 0100821633 1384002310718 00981942166 09219201454
Log(Total Rents Collected rentable sf) Intercept 30195696974 204824761253 194825 04164909532 1420770663705 72500246992 0
Log(Total Rents Collected rentable sf) Green Certified (1=yes 0=no)[Yes] 00996165255 11047471944 1047
Hopkins Erin Hopkins Erincant provide a confidencd interval for it
00590542761 1286416575023 16868638818 0094053065 0099617 00590542761 1047
Log(Total Rents Collected rentable sf) Gym (1=yes 0=no)[Yes] 00684081888 10708023088 708 0096210834 1330244953516 07110237581 04783143732
Log(Total Rents Collected rentable sf) Pool (1=yes 0=no)[Yes] 00088712036 10089106694 089 00916333982 708572236354 00968119025 09231490817
Log(Total Rents Collected rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00836597449 09197441505 -803 01126005752 1404546011941 -07429779537 04587359136
Log(Total Rents Collected rentable sf) Walk Score 0006479206 10065002414 065 0002794287 1413201347208 23187331419 00218436949
Log(Total Rents Collected rentable sf) of Unfurnished Apartments -00008678845 0999132492 -009 00003932429 1359586026848 -22069932213 00289920945 variance components to talk about how much of the total error that is attribuatle to city
Log(Total Rents Collected rentable sf) Average Apt Unit Size -00002078918 09997921298 -002 00003300088 1382568544162 -06299582685 05297616269
Log(Total Rents Collected rentable sf) Age 00008364704 10008368204 008 00037477419 1387794745176 02231931757 08237133506
Log(Total Rents Collected rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00042999624 10043092206 043 0069466499 142786243042 00618998008 09507291881
Log(Total Actual Collections rentable sf) Intercept 30681072891 215011686418 205012 04070110501 1415072794017 75381424868 0
Log(Total Actual Collections rentable sf) Green Certified (1=yes 0=no)[Yes] 00944491888 10990533175 991 00578900924 1291837028308 16315259643 01052148631
Log(Total Actual Collections rentable sf) Gym (1=yes 0=no)[Yes] 00739127176 10767128233 767 0094247393 1335821297113 07842415071 04342868782
Log(Total Actual Collections rentable sf) Pool (1=yes 0=no)[Yes] 00130418887 10131273051 131 00885804441 654593026021 01472321442 08834013324
Log(Total Actual Collections rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00794248992 0923647384 -764 01101507414 1410305976559 -07210564195 04720684016
Log(Total Actual Collections rentable sf) Walk Score 00065530115 10065745295 066 00027272037 14047408887 24028316857 00175745575
Log(Total Actual Collections rentable sf) of Unfurnished Apartments -0000833078 09991672689 -008 00003850262 1365168778586 -21636916411 00322285543
Log(Total Actual Collections rentable sf) Average Apt Unit Size -00002169447 09997830788 -002 00003233576 1393662972101 -06709126047 05033865944
Log(Total Actual Collections rentable sf) Age 00015178151 10015189676 015 0003670824 1398532082324 04134807595 06798877496
Log(Total Actual Collections rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00249154485 10252284322 252 0067842812 1423468871242 03672525904 07139760316
Log(Management Fee rentable sf) Intercept -02128803278 08082528568 -1917 04254329778 585619088893 -0500385111 06186792644
Log(Management Fee rentable sf) Green Certified (1=yes 0=no)[Yes] 0019865513 10200641454 201 00593086525 1354977267554 03349513461 07381797603
Log(Management Fee rentable sf) Gym (1=yes 0=no)[Yes] -00082052627 09918283086 -082 00958032958 1386068833723 -00856469772 09318706455
Log(Management Fee rentable sf) Pool (1=yes 0=no)[Yes] 00174275629 10175803089 176 00771880661 202180965349 02257805358 08236388274
Log(Management Fee rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00153191452 10154370848 154 01103651216 1423896402644 01388042255 08898009734
Log(Management Fee rentable sf) Walk Score 00070459229 10070708039 071 00028008303 805559990921 25156550566 0013868745
Log(Management Fee rentable sf) of Unfurnished Apartments -0001358177 09986427449 -014 00003916726 1421224837061 -34676335479 00006950146
Log(Management Fee rentable sf) Average Apt Unit Size -00005130214 09994871101 -005 00003375961 1007585612206 -15196307445 0131735624
Log(Management Fee rentable sf) Age 00013613923 10013623194 014 00037151697 1277713043957 03664414822 07146417588
Log(Management Fee rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -00674463479 09347778721 -652 00657081953 1299283630266 -10264525997 03065854809
Log(Total Utilities Rentable sf) Intercept -03748562337 06873880949 -3126 04464274077 1402143832266 -08396801522 04025171642
Log(Total Utilities Rentable sf) Green Certified (1=yes 0=no)[Yes] 00873163337 10912418217 912 0064576715 1358457024729 13521334071 01785794114
Log(Total Utilities Rentable sf) Gym (1=yes 0=no)[Yes] 01175979311 11247917766 1248 01048349264 1384172144229 11217438221 02639135776
Log(Total Utilities Rentable sf) Pool (1=yes 0=no)[Yes] 00115680134 10116351816 116 00928512423 72633370166 01245865221 09011950626
Log(Total Utilities Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00222539972 10225034645 225 01216524447 1425571484619 01829309493 0855112103
Log(Total Utilities Rentable sf) Walk Score 00068649233 10068885409 069 00029812807 1396033046894 23026759291 00227754146
Log(Total Utilities Rentable sf) of Unfurnished Apartments -00006773222 09993229071 -007 00004273761 1401067188346 -15848386198 01152575495
Log(Total Utilities Rentable sf) Average Apt Unit Size -00003442022 0999655857 -003 00003581401 1425120147852 -09610825805 03381384619
Log(Total Utilities Rentable sf) Age 00048795122 10048914364 049 00040600929 1425855030198 12018227897 02314244716
Log(Total Utilities Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -01198355423 08870663096 -1129 00742421382 1413320388001 -16141176043 01087323819
Log(MampR rentable sf) Intercept -09030689887 04053238148 -5947 0437858541 1384008312652 -20624674504 00410332652
Log(MampR rentable sf) Green Certified (1=yes 0=no)[Yes] 00937424436 10982768413 983 00639155521 1376081716673 14666609392 01447499128
Log(MampR rentable sf) Gym (1=yes 0=no)[Yes] 00037664885 10037735907 038 01036113865 1396450691334 00363520715 09710535435
Log(MampR rentable sf) Pool (1=yes 0=no)[Yes] 01319613595 11410642271 1411 00887446725 719561267791 14869778183 0141389644
Log(MampR rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00521515872 09491849716 -508 01197720975 1428478988157 -04354235112 06639122497
Log(MampR rentable sf) Walk Score 00110131704 10110740386 111 00029197236 1385662208531 37719907631 00002391344
Log(MampR rentable sf) of Unfurnished Apartments -00008849955 09991153959 -009 00004219429 1410140957414 -20974297602 0037740228
Log(MampR rentable sf) Average Apt Unit Size 00000594506 10000594524 001 0000353075 1429981472006 01683796031 08665225748
Log(MampR rentable sf) Age 0007624822 1007653965 077 00039990018 142990029884 19066812998 00585678315
Log(MampR rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00598131349 10616381449 616 00727173027 1406732379184 08225433659 04121598071
Log(Subtotal Maintenance rentable sf) Intercept -07997344997 04494482769 -5506 0489167182 1380935604874 -16348899298 01043496414
Log(Subtotal Maintenance rentable sf) Green Certified (1=yes 0=no)[Yes] 01180969773 11253532398 1254 00707986514 1348907221481 16680681771 00976219515
Log(Subtotal Maintenance rentable sf) Gym (1=yes 0=no)[Yes] 00409351965 10417845921 418 01148796072 1378640116803 03563312718 07221372278
Log(Subtotal Maintenance rentable sf) Pool (1=yes 0=no)[Yes] 01515780559 11636691295 1637 0100780712 617547240206 15040383505 01376688864
Log(Subtotal Maintenance rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -0078076377 09248937833 -751 01331885868 1426567369893 -05862092154 05586613077
Log(Subtotal Maintenance rentable sf) Walk Score 0011889233 10119601909 120 00032614069 1377504918879 36454307183 00003773801
Log(Subtotal Maintenance rentable sf) of Unfurnished Apartments -00008153416 09991849907 -008 00004682078 1398534995511 -17414095506 00838107083
Log(Subtotal Maintenance rentable sf) Average Apt Unit Size 00005083484 10005084776 005 00003930253 1428434249161 12934242295 01979520949
Log(Subtotal Maintenance rentable sf) Age 00104106727 10104650523 105 00044515054 1428449267664 23386858733 00207383998
Log(Subtotal Maintenance rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 02440298206 12763823925 2764 0081177414 1402563601749 30061295196 00031359748
Log(Property Insurance rentable sf) Intercept -08916874806 04099633635 -5900 04516384713 1429624291993 -19743390727 00502702101
Log(Property Insurance rentable sf) Green Certified (1=yes 0=no)[Yes] 01239058141 11319092561 1319 0062692592 1281678143933 19764027959 00502564371
Log(Property Insurance rentable sf) Gym (1=yes 0=no)[Yes] -0003522638 09964835593 -035 01024969537 1314939748594 -0034368221 09726356404
Log(Property Insurance rentable sf) Pool (1=yes 0=no)[Yes] 00227423743 10230029538 230 01040308572 1125700947624 02186118131 08273482928
Log(Property Insurance rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00155809876 10157030041 157 01206677853 1368483458399 01291230096 08974498986
Log(Property Insurance rentable sf) Walk Score 00072977866 10073244804 073 00030353828 1428602075435 24042392705 00174877086
Log(Property Insurance rentable sf) of Unfurnished Apartments -00010061941 09989943119 -010 0000420017 1337858380697 -23956034086 00179774093
Log(Property Insurance rentable sf) Average Apt Unit Size -00006330482 09993671521 -006 00003514502 1338864329416 -18012458048 0073914725
Log(Property Insurance rentable sf) Age 00009661099 10009665767 010 00039921418 1338497494964 02420028921 08091483095
Log(Property Insurance rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -00520208103 09493091112 -507 00749301111 1411273861679 -06942577501 04886618561
Log(Total All Expenses Rentable sf) Intercept 17410862845 57035357214 47035 03946731547 141889623796 44114636723 00000201648
Log(Total All Expenses Rentable sf) Green Certified (1=yes 0=no)[Yes] 01231722438 11310792255 1311 00565275641 1341244163534 21789766772 00310802733
Log(Total All Expenses Rentable sf) Gym (1=yes 0=no)[Yes] 00096244971 10096709615 097 00919378962 1370603130567 01046847658 09167789899
Log(Total All Expenses Rentable sf) Pool (1=yes 0=no)[Yes] 01610294116 11747195186 1747 00846545666 801516751987 19021940341 00607378863
Log(Total All Expenses Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00361842114 09644626121 -355 01071504659 1418739239709 -03376953252 07360919324
Log(Total All Expenses Rentable sf) Walk Score 00087371658 10087754463 088 00026426023 1411809488418 33062734678 00011989895
Log(Total All Expenses Rentable sf) of Unfurnished Apartments -00008720665 09991283137 -009 00003752966 1389800988186 -23236728617 00215934791
Log(Total All Expenses Rentable sf) Average Apt Unit Size -0000155413 0999844599 -002 00003145108 1409449329598 -0494142052 06219751067
Log(Total All Expenses Rentable sf) Age 00015666155 10015678433 016 00035695206 1412387206124 04388868073 06614142124
Log(Total All Expenses Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00157918953 10159172462 159 00657593447 1424551160559 02401467861 08105616925
Log(NOI Rentable sf) Intercept 27416093787 155119295878 145119 049686036 1426328429735 55178669889 0000000157
Log(NOI Rentable sf) Green Certified (1=yes 0=no)[Yes] 00932241108 10977077159 977 00701671113 1292740226257 13286012361 01863200879
Log(NOI Rentable sf) Gym (1=yes 0=no)[Yes] 0111280688 11177085902 1177 0114413579 13320261997 09726178396 03325061802
Log(NOI Rentable sf) Pool (1=yes 0=no)[Yes] -00608871507 0940929417 -591 01107002034 838263437204 -05500184174 05837693269
Log(NOI Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -01393113526 08699571229 -1300 01340931949 1397855428856 -10389144106 03006382455
Log(NOI Rentable sf) Walk Score 00045000262 10045101666 045 0003337636 1423581725818 13482675372 01797136327
Log(NOI Rentable sf) of Unfurnished Apartments -00007116645 09992885887 -007 00004679272 1358400867851 -15208872073 01306124688
Log(NOI Rentable sf) Average Apt Unit Size -00001937801 09998062387 -002 00003921685 1372175013367 -04941245389 06220083144
Log(NOI Rentable sf) Age 00034607088 1003466704 035 00044548378 1376438770548 07768428318 04385844885
Log(NOI Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00488697769 10500835966 501 00828565286 1429949688826 05898120243 0556247504
Concessions rentable sf Intercept 0091580439 10959049266 959 12772069558 1418541020247 00717036801 09429387231
Concessions rentable sf Green Certified (1=yes 0=no)[Yes] 01110697527 11174728508 1175 01814813765 1293641668833 06120173584 05416004511
Concessions rentable sf Gym (1=yes 0=no)[Yes] -05094051331 06008529 -3991 02955403985 1336296409402 -17236395961 00870857294
Concessions rentable sf Pool (1=yes 0=no)[Yes] -00886152984 09151975838 -848 02791864929 69298361986 -03174053928 07518903943
Concessions rentable sf Outdoor Common Area (1=yes 0=no)[Yes] 04576291372 15803228114 5803 03455726285 1408379747117 13242632646 01875606951
Concessions rentable sf Walk Score 00120688741 10121419968 121 00085630896 1409791646097 14094064916 01609170757
Concessions rentable sf of Unfurnished Apartments -00007045588 09992956894 -007 00012075862 1364744404696 -05834438741 05605574922
Concessions rentable sf Average Apt Unit Size -00003193903 09996806607 -003 00010135961 1389703034326 -03151061148 07531537379
Concessions rentable sf Age 00130223218 10131074815 131 00115086772 139464867267 11315220311 02597773256
Concessions rentable sf Building Mix (0=multifamily 1 = mixed-use)[Mixed] -03719888249 06893619462 -3106 02129597676 1426034459287 -17467563435 00828326573
Page 2: AUGUST 21- 23, 2018 • CLEVELAND, OHIO€¦ · Business Case 2.0: New Research Around High Performing Buildings Thursday 23 rd, 2018 10:30am – 12:00pm

Business Case 20 New Research Around High Performing Buildings

Thursday 23rd 20181030am ndash 1200pm

Paul Mathew

Staff Scientist and Department Head of Whole Building SystemsLawrence Berkeley National Laboratory

Paolo Issler

Real Estate and Financial Markets Lab DirectorUniversity of California Berkeley

Erin Hopkins

Assistant Professor of Property ManagementVirginia Tech

Andrew White

Associate ManagerRE Tech Advisors

Panelists

Energy and Default Risk in Commercial Mortgages

4

Paulo IsslerReal Estate amp Financial Markets Lab DirectorUniversity of California Berkeley

5

Acknowledgements Holly Carr (US DOE) Cindy Zhu (US DOE)

Philip Coleman (LBNL) Jeff Deason (LBNL) Tianzhen Hong (LBNL) Paulo Issler (UCB) Paul Mathew (LBNL) Emily McLaughlin (IMT) Baptiste Ravache (LBNL) Kaiyu Sun (LBNL) Nancy Wallace (UCB)

6

The link between energy and CRE mortgages Net Operating Income (NOI) the key financial measure for CRE valuation and mortgage risk Energy cost is one of the largest components of Net Operating Income (NOI)

Energy prices are highly volatile Poor CRE property management can severely impact energy consumption

Current practice does not fully account for these factors in calculation of Net Operating Income (NOI) Usually based on historical average cost data if available Does not account for energy use and price volatility during mortgage term

Key question How much do these factors ldquomove the needlerdquo for NOI and default risk

Energy Use VolumeElectricity kWhkW fuel therms etc

Driven by bldg features operations climate

Energy Use Volatility+- change over mortgage term

Driven by bldg operations weather variation

Energy Price$kWh $kW $therm

Set by rate structure

Energy Price Volatility+- change over mortgage term

Driven by rate structure forward price curves

7

Approach Impact of energy on default rateMortgage Default Rate = f (EUI ElecPriceGap CouponSpread LTV Region more controlshellip)

TREPPLoan Dataset

geocode

Benchmark Disclosure

Dataset

Expanded Benchmark Disclosure

match

Combined TREPP mortgage performance and Benchmarking Disclosure Datasets

ISO ElectricityHH Nat Gas

Datasets

match amp calc

Interest Rate Proxy

Dataset

match amp calc

Empirical analysis combiningbull Mortgage loan data (TREPP) bull Energy use data (Benchmarking disclosure)

8

Default risk and source EUI (cont)

The coefficient estimates for BOTH the Electricity Price Gap and Source EUI are significant at better than the 05 level of statistical significance

bull The higher the Source EUI (the more energy usage per square foot) the higher the likelihood of default

bull The higher the Electricity Price Gap (the larger the difference between the actual and the expected electricity prices since the loan origination) the higher the likelihood of default

Office + Retail ndash Linear probability model

9

Default risk and source EUI

Coefficient Estimate Standard Error

Intercept -040444 018466Log Source EUI 007335 003129

Origination Loan-to-Value Ratio 000258 000096

Coupon Spread to 10 Year Treasury 002188 001565

Electricity Price Gap 000003 000001

Time to Maturity on Balloon -000189 000060

Origination Year Fixed Effects Yes

473 observations R2 = 1052 plt01 plt005 plt001

Office + Retail ndash Linear probability model

10

Default risk and source EUI (cont)

Coefficient estimates are significant and robust for three cohorts all buildings Office + multiuse + retail office only Coefficient estimates for electricity price gap significant for all buildings

office + multiuse + retail Consistent results for linear probability and logistic regression models

11

Analysis using Scaled Source EUI ndash Linear probability model

Ratio of Source EUI to NOI(floor area)

Default risk and source EUI (cont)

Coefficient Estimate Standard Error

Intercept -000538 011067Scaled Source EUI 000183 0000369

Origination Loan-to-Value Ratio 000263 000117

Coupon Spread to 10 Year Treasury 000751 0040

Electricity Price Gap 000003 000001

Time to Maturity on Balloon -000203 000068

Origination Year Fixed Effects Yes

339 observations R2 = 1768 plt01 plt005 plt001

Scaled Source EUI (Office + MU + Retail) ndash Linear probability model

12

What are the impacts on specific loansCollaborate with lenders to 1 Demonstrate impact of energy use and price on specific mortgage loans2 Develop recommendations

Approach Compile info from Appraisals PCAs

other sources Estimate source EUI variations

Simulation and empirical approaches

Compute electricity price gap using forward curves

Compute default risk impact due to source EUI and electricity price gap

13

Case Studies

Denver Office

Denver Hotel

San Francisco Multi-family

San Jose Office Sonoma Office

Denver Office ndash energy use and default riskFacilities Management factors HVAC schedule Thermostat setback Supply air temp control VAV min flow control Economizer controls Lighting controlsLevels good average poor

Occupancy factors Occupant density Occupant schedule Plug load density Plug load controlsLevels goodlow average poorhigh

CaseFacilities mgmtfactors

OccupancyFactors

Source EUI change ()

Default risk change (bp)

1 Good GoodLow -54 -248

2 Good Ave -33 -127

3 Ave Ave - -

4 Good PoorHigh +4 +12

5 Poor GoodLow +64 +158

6 Poor Ave +76 +181

7 Poor PoorHigh +132 +268

15

Denver Office ndash energy price and default risk

16

Case Studies ndash summary of risks impacts

Building Source EUI variation ()

Default rate variation (bp)

Default rate variation relative to TREPP avg ()

Denver Office -54 to +132 -248 to +268 -31 to +34

Sonoma Office -40 to +183 -161 to +331 -20 to +41

San Jose Office -62 to +119 -308 to +249 -39 to +31

Denver Hotel -11 to +17 -37 to +49 -5 to +6

San Francisco Multi-family -20 to +26 -72 to +74 -9 to +9

Wholesale price region Default rate variation (bp) Default rate variation relative to TREPP avg ()

Denver area +159 to +501 +20 to +63

Northern California -49 to +705 -6 to +88

Compare to TREPP average default rate of 800bp

17

Case Studies ndash business impactThese results showing the impact of energy on default risk are clearly meaningful I dont currently consider energy efficiency when making a loan and seeing this makes me think I would want to ask about itrdquo

I would like to apply these findings but would want an easy way to use it A simple score or ratio for energy risk would be good In fact I would be interested to pilot test it

Keith Hanley Silicon Valley Bank

18

Looking Ahead

Looking Ahead ndash our visionTo have energy factors fully and routinely incorporated in commercial mortgage valuation accelerating demand for buildings with lower energy risk

20

Show that energy matters

Develop and pilot

interventions Disseminate

best practices Institutionalize

Analysis of energy impacts

Long term

Case studies on actual mortgage loans

Protocols and tools for lenders and owners

Industry Standards

Scope of current effort

RecommendationsLenders Ask owners to provide info on energy cost range

Account for variations in energy use and energy price Could be done as part of Property Condition Assessment Can reference ASTM standard

Incorporate energy risk factor into underwriting and terms eg Interest rate discount for lower risk

Offer additional loan proceeds for EE investments

Owners Ask lenders to account for energy efficiency when setting mortgage

terms Provide data on energy costs to lender

Historical and anticipated In appraisal andor PCA

21

Thank you

Money Matters Exploring the Financial Impacts of Green Certifications in the Multifamily Rental Sector

Erin A Hopkins PhD CAPS LEED Green AssociateAssistant Professor of Property Management

bull Sample 153 properties from 2 of National Multifamily Housing Councilrsquos 2016 50 Largest Apartment Managers

bull Green-certified 2288 of properties (35 properties)bull Methodology Multiple Regression Analysisbull Controls Location Fitness Center Pool Outdoor Common Area Walk

Score of Unfurnished Apartments Average Apartment Unit Size Age Building Mix

bull Limitations Building class not directly taken into account

Overview of Research

Certifications Represented in Sample

Austin Energy Green Buildingreg (AEGB)

Rating System(3)

ENERGY STARreg

(1)

Florida Green Building Coalition

(FGBC)(1)

GreenPoint Rated(4)

LEEDreg

(16)

National Green Building Standardtrade

(NGBS)(11)

Properties by City

2

4

2 2 21 1

3

1 1 12 2

1 1 1

6

1 1

8

11

4

6

14

3

1

19

3

1 1

7

43

2

9

18

2 2

0

2

4

6

8

10

12

14

16

18

20

Summary Statistics of City Datan=153

Summary Satistics of City Data Green Bldgs Summary Satistics of City Data Non-Green Comparables

Descriptive

97

71

100

31

89

69

93

24

0

20

40

60

80

100

120

Fitness Center Pool Outdoor Common Area Mixed-Use Property

Summary Statistics of Green vs Non-Green Propertiesn = 153

Green Non-Green

Descriptive

73228

866

2011

74

259

894

2003

0

500

1000

1500

2000

2500

Walk Score Average Number of Units Average Apt Unit Size (sf) Age

Summary Statistics of Green vs Non-Green Properties

n = 153

Green Non-Green

Findings

Total Rents Collected1047

Total Maintenance1254

Property Insurance1319

Total Expenses1311

Higher rents and expenses

Financial Impacts of Green

Dependent Variable Per Square Foot Per Apartment Per PropertyTotal Rents Collected 247$ 2189$ 551683$ Subtotal Maintenance 020$ 178$ 44843$ Property Insurance 005$ 42$ 10601$ Total Expenses 112$ 990$ 249535$

Coefficients Standard Errors

Tables

Summary of Green Impacts

Summary Table

Discussion

bull Assume efficient operations will offset the higher rent

bull Philanthropic motivesbull Prestige motivesbull Green buildings tend to be newermore

likely to offer the more sought-after amenities and finishes

bull Tend to be in higher-income areaslikely have higher rents

Different motivations for paying higher rent may be in

play

Discussion

Higher Operating Expenses a Surprise

Does not align with much of the existing researchhellipbut no research on effects of green certification on total operating expenses within multifamily rental sector

Many of the certifications represented in this study focus on the design phase of the property vs the operations and maintenance phase

And although promotion of sustainability is on the rise in the multifamily housing sector staff may remain unfamiliar with the unique operations and maintenance of green

buildings

Final Thoughts

Apartment homes represent $13 trillion to the US economy and 5 million new rental households are expected by 2023 (National Multifamily Housing Council 2015)

Upfront capital constraints regulatory issues knowledge limitations and marketing concerns may diminish the attractiveness of multifamily rental green building

certification if not properly managed

Most studies focus on office sector andor strictly rents or property value

This study begins to look at the multifamily rental sector and offer a more comprehensive analysis

Further research is needed with larger datasets to understand effects of green certification on income statement components in the apartment industry as NOI

ultimately determines property market valueOptimism that this study can be the impetus for further research contributions on the

financial environmental and resident satisfaction impacts of green practices and certifications on the multifamily rental sector

Contact informationErin A Hopkinserinz1vtedu

Acknowledgementsbull Todd Feist Sustainability Program Manager at The Institute of

Real Estate Management (IREMreg) for his assistance with this research project

bull Yardi and IREMreg for the grant awarded to support this researchbull The two property management companies for sharing their data

BUILDING PERFORMANCE

UNLOCKINGVALUE

New DOE-driven Research Around High Performing Buildings

AUGUST 23 2018

ANDREW WHITEASSOCIATE MANAGERawhiteretechadvisorscom

2015-2016 bull Research design working group pilot study data lab

2017 bull Connect to Real Estate Research Institute (RERI) Literature review and gap analysis

2018 bull Research agenda request for proposals research project selection and execution

Context Setting ndash DOE Research EffortWhat are the impacts of energy efficiency and high-performance building

features on financial performance of commercial real estate

RERIrsquos mission is to encourage and reward research on real estate as an investment and as an asset class that is both academically rigorous and of value to the institutional real estate investment profession In addition RERI serves to provide a forum through which the real estate academic professional and regulatory communities can interact facilitating the exchange of insights amongst these stakeholders

RERI Overview

Sponsors

Build upon DOErsquos Review of Studies in the Market

bull Focus explicitly on peer-reviewed papers Gap analysis of existing research to

identifybull Questions that have already been

sufficiently provenbull Holes in existing body of research

Academic Inputbull Guidance on which studies to includebull Suggestions for how to conduct analysis

Literature Review Objectives

Literature Review Results

LEED

ENER

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ENER

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Ener

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M

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Rent 20 18 1 2 2 2 1 1 1Rent concessions 1 1 1Sales price 9 11 1 1 1 1Assessed value 2 2Market value 1 2 1 2 1Occupancy 10 9 1Lease renewals 1 1 1Service charge 1Operating cost 2 3Energy cost 2 3Tenant satisfaction 1 1 1Sales time 1 1Default rate 2 1Capitalization rate 1 2 2 1Net operating income 1 1 1Loan to value ratio 1 1Debt service coverage ratio 1 1Worker productivity 1 1Other 5 4 1 4 2 2

There is considerable evidence that green building certifications correlate with increased economic value primarily via higher rents and sales prices

bull How do we move beyond certification to analyze performancebull Correlation vs Causation

bull What is driving added value Is it green features and efficiency the green labels themselves or other desirable features often included in certified buildings

Panel studies could help reduce some of the uncertainty and noise Full results presented at ACEEE Summer Study

bull Raising the Rent Premium Moving Green Building Research Beyond Certifications and Rent

bull Cindy Zhu Andrew White Paul Mathew Jeff Deason Philip Coleman

Literature Review Results

Research Agenda Core QuestionldquoHow does ltenergygreen metricgt affect ltfinancial value metricgtrdquo

EnergyGreen Metric

Site energy use or EUI

Source energy use or EUI

Energy cost or costsf

ENERGY STAR score

ENERGY STAR label

Green Building Certification (LEED BOMA 360)

Green Building Certification level (eg LEED Silver Gold)

Financial Value Metric

VacancyOccupancy Sales Price

Leasing Velocity (absorption speed of sales leasing)

Regulatory amp Compliance Risk

Tenant Renewals Insurance (rates ability)

Tenant Satisfaction Default Risk

Rental Income and Rent Concessions Debt Service Coverage Ratio

Marketing Costs Access to Funding

Utility Costs Maintenance OpEx Interest Rates

Obsolescence Reserves

Capitalization Rates

12 proposals received 5 projects selected Criteria

bull Department of Energy goals

bull Impact on Commercial Real Estate (CRE) Industry

bull Feasibility and Interest

bull Quality and Validity

Proposal Reviews

Jim Clayton Avis Devine (York University) and Rogier Holtermans(University of Guelph) Analyzing four types of energy

efficiency interventions on financial components that impact property-level NOI

bull How do interventions impact different aspects of building operations and their subsequent financial impact

Beyond Environmental Building Certification The Impact of Environmental Interventions on Commercial Real Estate Operations

Piet Eichholtz and Nils Kok (Maastricht University) and RogierHoltermans (University of Guelph) Three key questions

bull How is environmental building certification related to commercial building energy consumption

bull How does aging affect the energy consumption of the commercial building stock

bull To what extent do specific energy efficiency investments affect energy consumption in commercial real estate

The Dynamics of Energy Consumption in Commercial Real Estate

Sofia Dermisi Chris Lee and YoungjinChoe (University of Washington) Exploring the effect of disclosure

policies on office building marketability while assessing potential links between market performance of sustainable assets

bull Before and after the disclosure policies while considering market cycles

bull Before and after ENERGY STAR andor LEED certification

Markets included San Francisco Washington DC

Effect of Energy Benchmarking and Disclosure on Office Building Marketability

Dirk Brounen (Tilburg University) and Gianluca Marcato (Reading University) Analyzing the adoption of GRESB within the public real estate markets and

predicting a potential impact of GRESB scores on REIT returns

Sustainable Insights and Public Real Estate Performance GRESB Effects in REIT Markets

Constantine Kontokosta (New York University) Franz Fuerst(Cambridge University) Gary Pivo (University of Arizona) amp Jacob Sagi (UNC Chapel Hill) Utilizing NYC data to empirically model

bull the spread between the premium for labeled (energy efficient) buildings and the cost to retrofit an under-performing building to meet the same standard which will allow us to understand how much of the observed premium is attributable to energy efficiency and how much can be assigned to other perceived benefits (marketing construction quality etc)

bull the hurdle rate for energy retrofit investments using actual audit data and permitted renovation work

Estimating Office and Residential Building Energy Retrofit Hurdle Rates and Risk Arbitrage in Energy Efficiency Investments

Collecting data for continued Data Lab analysis Presenting Research findings

bull Interim research results ndash IPC Research Symposium (October)bull Greenbuild Session (November)bull RERI Research Conference (April)bull Final research results ndash Better Buildings Webinars Summit 2019 (TBA)

Work with DOE case study and data analysis opportunities abound

Next Steps

Paul Mathew

Lawrence Berkeley National Laboratorypamathewlblgov

Paulo Issler

University of California Berkeleypauloisslerberkeleyedu

Erin Hopkins

Virginia Techerinz1vtedu

Andrew White

RE Tech Advisorsawhiteretechadvisorscom

Contact Info

  • Slide Number 1
  • Business Case 20 New Research Around High Performing Buildings
  • Panelists
  • Energy and Default Risk in Commercial Mortgages
  • Paulo Issler
  • Acknowledgements
  • The link between energy and CRE mortgages
  • Approach Impact of energy on default rate
  • Default risk and source EUI (cont)
  • Default risk and source EUI
  • Default risk and source EUI (cont)
  • Default risk and source EUI (cont)
  • What are the impacts on specific loans
  • Case Studies
  • Denver Office ndash energy use and default risk
  • Denver Office ndash energy price and default risk
  • Case Studies ndash summary of risks impacts
  • Case Studies ndash business impact
  • Looking Ahead
  • Looking Ahead ndash our vision
  • Recommendations
  • Slide Number 22
  • Money Matters Exploring the Financial Impacts of Green Certifications in the Multifamily Rental SectorErin A Hopkins PhD CAPS LEED Green AssociateAssistant Professor of Property Management
  • Overview of Research
  • Certifications Represented in Sample
  • Properties by City
  • Descriptive
  • Descriptive
  • Findings
  • Financial Impacts of Green
  • Discussion
  • Discussion
  • Final Thoughts
  • Slide Number 34
  • Slide Number 35
  • Context Setting ndash DOE Research Effort
  • RERI Overview
  • Literature Review Objectives
  • Literature Review Results
  • Literature Review Results
  • Research Agenda Core Question
  • Proposal Reviews
  • Beyond Environmental Building Certification The Impact of Environmental Interventions on Commercial Real Estate Operations
  • The Dynamics of Energy Consumption in Commercial Real Estate
  • Effect of Energy Benchmarking and Disclosure on Office Building Marketability
  • Sustainable Insights and Public Real Estate Performance GRESB Effects in REIT Markets
  • Estimating Office and Residential Building Energy Retrofit Hurdle Rates and Risk Arbitrage in Energy Efficiency Investments
  • Next Steps
  • Contact Info
Y Term ~Bias Estimate EXP estimate Practical Interpretation increasedecrease Std Error DFDen t Ratio Probgt|t| Log(Vacancies amp Rent Loss rentable sf) Log(Total Rents Collected rentable sf) Log(Total Actual Collections rentable sf) Log(Management Fee rentable sf) Log(Total Utilities Rentable sf) Log(MampR rentable sf) Log(Subtotal Maintenance rentable sf) Log(Property Insurance rentable sf) Log(Total All Expenses Rentable sf) Log(NOI Rentable sf) Concessions rentable sf
Log(Vacancies amp Rent Loss rentable sf) Intercept 00893029328 10934118365 934 06116337119 1083785495375 01460072116 08841869197 Green Certified (1=yes 0=no)[Yes] -00318 01047 00991
Log(Vacancies amp Rent Loss rentable sf) Green Certified (1=yes 0=no)[Yes] -0031825668 09686754385 -313 009164153 139931853592 -03472843369 07288994904 Gym (1=yes 0=no)[Yes] 01060 00708 00767
Log(Vacancies amp Rent Loss rentable sf) Gym (1=yes 0=no)[Yes] 01007730854 11060256399 1060 01479591517 1412043780621 0681087207 0496931725 Pool (1=yes 0=no)[Yes] 01126 00089 00131
Log(Vacancies amp Rent Loss rentable sf) Pool (1=yes 0=no)[Yes] 01125884395 11191712315 1192 0113345701 506840641957 09933190097 032527325 Outdoor Common Area (1=yes 0=no)[Yes] 02673 -00803 -00764
Log(Vacancies amp Rent Loss rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 02672618233 13063824429 3064 01690835398 1429144230275 15806495624 01161688791 Walk Score 00102 00065 00066
Log(Vacancies amp Rent Loss rentable sf) Walk Score 00101642302 10102160615 102 00040763935 1219632686439 24934369735 00139912712 of Unfurnished Apartments -00003 -00009 -00008
Log(Vacancies amp Rent Loss rentable sf) of Unfurnished Apartments -0000250981 09997490505 -003 00006011213 142449410245 -04175214322 06769256723 Average Apt Unit Size -00003 -00002 -00002
Log(Vacancies amp Rent Loss rentable sf) Average Apt Unit Size -00002575258 09997425074 -003 00004990119 1315989429881 -05160713681 06066705884 Age -00026 00008 00015
Log(Vacancies amp Rent Loss rentable sf) Age -00026152008 09973882158 -026 00056263988 1391583522195 -04648090107 06427946925 Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00099 00043 00252
Log(Vacancies amp Rent Loss rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00099001013 10099492694 099 0100821633 1384002310718 00981942166 09219201454
Log(Total Rents Collected rentable sf) Intercept 30195696974 204824761253 194825 04164909532 1420770663705 72500246992 0
Log(Total Rents Collected rentable sf) Green Certified (1=yes 0=no)[Yes] 00996165255 11047471944 1047
Hopkins Erin Hopkins Erincant provide a confidencd interval for it
00590542761 1286416575023 16868638818 0094053065
Log(Total Rents Collected rentable sf) Gym (1=yes 0=no)[Yes] 00684081888 10708023088 708 0096210834 1330244953516 07110237581 04783143732
Log(Total Rents Collected rentable sf) Pool (1=yes 0=no)[Yes] 00088712036 10089106694 089 00916333982 708572236354 00968119025 09231490817
Log(Total Rents Collected rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00836597449 09197441505 -803 01126005752 1404546011941 -07429779537 04587359136
Log(Total Rents Collected rentable sf) Walk Score 0006479206 10065002414 065 0002794287 1413201347208 23187331419 00218436949
Log(Total Rents Collected rentable sf) of Unfurnished Apartments -00008678845 0999132492 -009 00003932429 1359586026848 -22069932213 00289920945
Log(Total Rents Collected rentable sf) Average Apt Unit Size -00002078918 09997921298 -002 00003300088 1382568544162 -06299582685 05297616269
Log(Total Rents Collected rentable sf) Age 00008364704 10008368204 008 00037477419 1387794745176 02231931757 08237133506
Log(Total Rents Collected rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00042999624 10043092206 043 0069466499 142786243042 00618998008 09507291881
Log(Total Actual Collections rentable sf) Intercept 30681072891 215011686418 205012 04070110501 1415072794017 75381424868 0
Log(Total Actual Collections rentable sf) Green Certified (1=yes 0=no)[Yes] 00944491888 10990533175 991 00578900924 1291837028308 16315259643 01052148631
Log(Total Actual Collections rentable sf) Gym (1=yes 0=no)[Yes] 00739127176 10767128233 767 0094247393 1335821297113 07842415071 04342868782
Log(Total Actual Collections rentable sf) Pool (1=yes 0=no)[Yes] 00130418887 10131273051 131 00885804441 654593026021 01472321442 08834013324
Log(Total Actual Collections rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00794248992 0923647384 -764 01101507414 1410305976559 -07210564195 04720684016
Log(Total Actual Collections rentable sf) Walk Score 00065530115 10065745295 066 00027272037 14047408887 24028316857 00175745575
Log(Total Actual Collections rentable sf) of Unfurnished Apartments -0000833078 09991672689 -008 00003850262 1365168778586 -21636916411 00322285543
Log(Total Actual Collections rentable sf) Average Apt Unit Size -00002169447 09997830788 -002 00003233576 1393662972101 -06709126047 05033865944
Log(Total Actual Collections rentable sf) Age 00015178151 10015189676 015 0003670824 1398532082324 04134807595 06798877496
Log(Total Actual Collections rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00249154485 10252284322 252 0067842812 1423468871242 03672525904 07139760316
Log(Management Fee rentable sf) Intercept -02128803278 08082528568 -1917 04254329778 585619088893 -0500385111 06186792644
Log(Management Fee rentable sf) Green Certified (1=yes 0=no)[Yes] 0019865513 10200641454 201 00593086525 1354977267554 03349513461 07381797603
Log(Management Fee rentable sf) Gym (1=yes 0=no)[Yes] -00082052627 09918283086 -082 00958032958 1386068833723 -00856469772 09318706455
Log(Management Fee rentable sf) Pool (1=yes 0=no)[Yes] 00174275629 10175803089 176 00771880661 202180965349 02257805358 08236388274
Log(Management Fee rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00153191452 10154370848 154 01103651216 1423896402644 01388042255 08898009734
Log(Management Fee rentable sf) Walk Score 00070459229 10070708039 071 00028008303 805559990921 25156550566 0013868745
Log(Management Fee rentable sf) of Unfurnished Apartments -0001358177 09986427449 -014 00003916726 1421224837061 -34676335479 00006950146
Log(Management Fee rentable sf) Average Apt Unit Size -00005130214 09994871101 -005 00003375961 1007585612206 -15196307445 0131735624
Log(Management Fee rentable sf) Age 00013613923 10013623194 014 00037151697 1277713043957 03664414822 07146417588
Log(Management Fee rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -00674463479 09347778721 -652 00657081953 1299283630266 -10264525997 03065854809
Log(Total Utilities Rentable sf) Intercept -03748562337 06873880949 -3126 04464274077 1402143832266 -08396801522 04025171642
Log(Total Utilities Rentable sf) Green Certified (1=yes 0=no)[Yes] 00873163337 10912418217 912 0064576715 1358457024729 13521334071 01785794114
Log(Total Utilities Rentable sf) Gym (1=yes 0=no)[Yes] 01175979311 11247917766 1248 01048349264 1384172144229 11217438221 02639135776
Log(Total Utilities Rentable sf) Pool (1=yes 0=no)[Yes] 00115680134 10116351816 116 00928512423 72633370166 01245865221 09011950626
Log(Total Utilities Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00222539972 10225034645 225 01216524447 1425571484619 01829309493 0855112103
Log(Total Utilities Rentable sf) Walk Score 00068649233 10068885409 069 00029812807 1396033046894 23026759291 00227754146
Log(Total Utilities Rentable sf) of Unfurnished Apartments -00006773222 09993229071 -007 00004273761 1401067188346 -15848386198 01152575495
Log(Total Utilities Rentable sf) Average Apt Unit Size -00003442022 0999655857 -003 00003581401 1425120147852 -09610825805 03381384619
Log(Total Utilities Rentable sf) Age 00048795122 10048914364 049 00040600929 1425855030198 12018227897 02314244716
Log(Total Utilities Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -01198355423 08870663096 -1129 00742421382 1413320388001 -16141176043 01087323819
Log(MampR rentable sf) Intercept -09030689887 04053238148 -5947 0437858541 1384008312652 -20624674504 00410332652
Log(MampR rentable sf) Green Certified (1=yes 0=no)[Yes] 00937424436 10982768413 983 00639155521 1376081716673 14666609392 01447499128
Log(MampR rentable sf) Gym (1=yes 0=no)[Yes] 00037664885 10037735907 038 01036113865 1396450691334 00363520715 09710535435
Log(MampR rentable sf) Pool (1=yes 0=no)[Yes] 01319613595 11410642271 1411 00887446725 719561267791 14869778183 0141389644
Log(MampR rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00521515872 09491849716 -508 01197720975 1428478988157 -04354235112 06639122497
Log(MampR rentable sf) Walk Score 00110131704 10110740386 111 00029197236 1385662208531 37719907631 00002391344
Log(MampR rentable sf) of Unfurnished Apartments -00008849955 09991153959 -009 00004219429 1410140957414 -20974297602 0037740228
Log(MampR rentable sf) Average Apt Unit Size 00000594506 10000594524 001 0000353075 1429981472006 01683796031 08665225748
Log(MampR rentable sf) Age 0007624822 1007653965 077 00039990018 142990029884 19066812998 00585678315
Log(MampR rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00598131349 10616381449 616 00727173027 1406732379184 08225433659 04121598071
Log(Subtotal Maintenance rentable sf) Intercept -07997344997 04494482769 -5506 0489167182 1380935604874 -16348899298 01043496414
Log(Subtotal Maintenance rentable sf) Green Certified (1=yes 0=no)[Yes] 01180969773 11253532398 1254 00707986514 1348907221481 16680681771 00976219515
Log(Subtotal Maintenance rentable sf) Gym (1=yes 0=no)[Yes] 00409351965 10417845921 418 01148796072 1378640116803 03563312718 07221372278
Log(Subtotal Maintenance rentable sf) Pool (1=yes 0=no)[Yes] 01515780559 11636691295 1637 0100780712 617547240206 15040383505 01376688864
Log(Subtotal Maintenance rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -0078076377 09248937833 -751 01331885868 1426567369893 -05862092154 05586613077
Log(Subtotal Maintenance rentable sf) Walk Score 0011889233 10119601909 120 00032614069 1377504918879 36454307183 00003773801
Log(Subtotal Maintenance rentable sf) of Unfurnished Apartments -00008153416 09991849907 -008 00004682078 1398534995511 -17414095506 00838107083
Log(Subtotal Maintenance rentable sf) Average Apt Unit Size 00005083484 10005084776 005 00003930253 1428434249161 12934242295 01979520949
Log(Subtotal Maintenance rentable sf) Age 00104106727 10104650523 105 00044515054 1428449267664 23386858733 00207383998
Log(Subtotal Maintenance rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 02440298206 12763823925 2764 0081177414 1402563601749 30061295196 00031359748
Log(Property Insurance rentable sf) Intercept -08916874806 04099633635 -5900 04516384713 1429624291993 -19743390727 00502702101
Log(Property Insurance rentable sf) Green Certified (1=yes 0=no)[Yes] 01239058141 11319092561 1319 0062692592 1281678143933 19764027959 00502564371
Log(Property Insurance rentable sf) Gym (1=yes 0=no)[Yes] -0003522638 09964835593 -035 01024969537 1314939748594 -0034368221 09726356404
Log(Property Insurance rentable sf) Pool (1=yes 0=no)[Yes] 00227423743 10230029538 230 01040308572 1125700947624 02186118131 08273482928
Log(Property Insurance rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00155809876 10157030041 157 01206677853 1368483458399 01291230096 08974498986
Log(Property Insurance rentable sf) Walk Score 00072977866 10073244804 073 00030353828 1428602075435 24042392705 00174877086
Log(Property Insurance rentable sf) of Unfurnished Apartments -00010061941 09989943119 -010 0000420017 1337858380697 -23956034086 00179774093
Log(Property Insurance rentable sf) Average Apt Unit Size -00006330482 09993671521 -006 00003514502 1338864329416 -18012458048 0073914725
Log(Property Insurance rentable sf) Age 00009661099 10009665767 010 00039921418 1338497494964 02420028921 08091483095
Log(Property Insurance rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -00520208103 09493091112 -507 00749301111 1411273861679 -06942577501 04886618561
Log(Total All Expenses Rentable sf) Intercept 17410862845 57035357214 47035 03946731547 141889623796 44114636723 00000201648
Log(Total All Expenses Rentable sf) Green Certified (1=yes 0=no)[Yes] 01231722438 11310792255 1311 00565275641 1341244163534 21789766772 00310802733
Log(Total All Expenses Rentable sf) Gym (1=yes 0=no)[Yes] 00096244971 10096709615 097 00919378962 1370603130567 01046847658 09167789899
Log(Total All Expenses Rentable sf) Pool (1=yes 0=no)[Yes] 01610294116 11747195186 1747 00846545666 801516751987 19021940341 00607378863
Log(Total All Expenses Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00361842114 09644626121 -355 01071504659 1418739239709 -03376953252 07360919324
Log(Total All Expenses Rentable sf) Walk Score 00087371658 10087754463 088 00026426023 1411809488418 33062734678 00011989895
Log(Total All Expenses Rentable sf) of Unfurnished Apartments -00008720665 09991283137 -009 00003752966 1389800988186 -23236728617 00215934791
Log(Total All Expenses Rentable sf) Average Apt Unit Size -0000155413 0999844599 -002 00003145108 1409449329598 -0494142052 06219751067
Log(Total All Expenses Rentable sf) Age 00015666155 10015678433 016 00035695206 1412387206124 04388868073 06614142124
Log(Total All Expenses Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00157918953 10159172462 159 00657593447 1424551160559 02401467861 08105616925
Log(NOI Rentable sf) Intercept 27416093787 155119295878 145119 049686036 1426328429735 55178669889 0000000157
Log(NOI Rentable sf) Green Certified (1=yes 0=no)[Yes] 00932241108 10977077159 977 00701671113 1292740226257 13286012361 01863200879
Log(NOI Rentable sf) Gym (1=yes 0=no)[Yes] 0111280688 11177085902 1177 0114413579 13320261997 09726178396 03325061802
Log(NOI Rentable sf) Pool (1=yes 0=no)[Yes] -00608871507 0940929417 -591 01107002034 838263437204 -05500184174 05837693269
Log(NOI Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -01393113526 08699571229 -1300 01340931949 1397855428856 -10389144106 03006382455
Log(NOI Rentable sf) Walk Score 00045000262 10045101666 045 0003337636 1423581725818 13482675372 01797136327
Log(NOI Rentable sf) of Unfurnished Apartments -00007116645 09992885887 -007 00004679272 1358400867851 -15208872073 01306124688
Log(NOI Rentable sf) Average Apt Unit Size -00001937801 09998062387 -002 00003921685 1372175013367 -04941245389 06220083144
Log(NOI Rentable sf) Age 00034607088 1003466704 035 00044548378 1376438770548 07768428318 04385844885
Log(NOI Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00488697769 10500835966 501 00828565286 1429949688826 05898120243 0556247504
Concessions rentable sf Intercept 0091580439 10959049266 959 12772069558 1418541020247 00717036801 09429387231
Concessions rentable sf Green Certified (1=yes 0=no)[Yes] 01110697527 11174728508 1175 01814813765 1293641668833 06120173584 05416004511
Concessions rentable sf Gym (1=yes 0=no)[Yes] -05094051331 06008529 -3991 02955403985 1336296409402 -17236395961 00870857294
Concessions rentable sf Pool (1=yes 0=no)[Yes] -00886152984 09151975838 -848 02791864929 69298361986 -03174053928 07518903943
Concessions rentable sf Outdoor Common Area (1=yes 0=no)[Yes] 04576291372 15803228114 5803 03455726285 1408379747117 13242632646 01875606951
Concessions rentable sf Walk Score 00120688741 10121419968 121 00085630896 1409791646097 14094064916 01609170757
Concessions rentable sf of Unfurnished Apartments -00007045588 09992956894 -007 00012075862 1364744404696 -05834438741 05605574922
Concessions rentable sf Average Apt Unit Size -00003193903 09996806607 -003 00010135961 1389703034326 -03151061148 07531537379
Concessions rentable sf Age 00130223218 10131074815 131 00115086772 139464867267 11315220311 02597773256
Concessions rentable sf Building Mix (0=multifamily 1 = mixed-use)[Mixed] -03719888249 06893619462 -3106 02129597676 1426034459287 -17467563435 00828326573
Y Term Practical Interpretation increasedecrease Probgt|t| Total Rents Collected Subtotal Maintenance Property Insurance Total Expenses
Log(Total Rents Collected rentable sf) Green Certified (1=yes 0=no)[Yes] 1047
Hopkins Erin Hopkins Erincant provide a confidencd interval for it
009 130837635934 13311489362 01847683215 67633617021
Log(Subtotal Maintenance rentable sf) Green Certified (1=yes 0=no)[Yes] 1254 010 267662568114 08839769656 0489370035 133484365708
Log(Property Insurance rentable sf) Green Certified (1=yes 0=no)[Yes] 1319 005 44887430941 07758149459 02417429373 41261056301
Log(Total All Expenses Rentable sf) Green Certified (1=yes 0=no)[Yes] 1311 003 103066299601 12390720963 00474343371 5067818194
206907297628 2385711159 02072356932 9194606526
318766961061 22633758919 04452208547 128154919371
92461669878 09545425866 01280485733 38832017239
143925847783 15966970999 02187893202 54018796992
176714125561 02006495648 02876780533 58992020575
232897515382 0726170332 00787094673 69517596041
Non-green sf average Financial Green Impact sf Financial green impact differencesf Green impactapt Green impactproperty 51780910259 05203453537 00494304264 22609306646
178353784788 17547710996 02048626598 95961490345
Total Rents Collected sf 1047 2356 2603 $ 247 $ 2189 $ 551683 113769814112 12206875575 03432049607 118156743193
Subtotal Maintenance sf 1254 160 180 $ 020 $ 178 $ 44843 301239240258 10561596849 0204970258 110903994641
Property Insurance sf 1319 036 041 $ 005 $ 42 $ 10601 918584487 08376649832 00914663991 4146546939
Total Expenses sf 1311 852 963 $ 112 $ 990 $ 249535 265183769576 19294929362 03500602344 108447158033
226055903548 13557897255 03988791741 10971207244
334894587007 17970717884 05122599181 124640467569
5542518821 31394328066 04875650977 200668786372
112655732059 13445692884 02031297086 43995867235
129139526152 1168069688 00518980213 4651511283
Avg Apt Size Avg of Units 151098478261 13975 02004130435 51873478261
192155046737 21015937064 02616549091 8357602264
887 252 514840434082 52766375656 02375463267 174375582672
81421971535 06694487849 00899424521 2748686222
30246817244 21594341279 03308639536 97277207077
488523197409 27727612187 0646599696 130752346177
318750561687 38903340576 03852711795 142409683793
310384048163 43119745565 03335824966 138846874251
Green Certification Impacts 48578215663 0350218077 03095574205 23695139998
Dependent Variable Per Square Foot Per Apartment Per Property 192237574111 13374121765 02053242615 84027476689
Total Rents Collected $ 247 $ 2189 $ 551683 62979912788 05343191729 00816289996 45390243161
Subtotal Maintenance $ 020 $ 178 $ 44843 148378959661 14651715909 02004049722 80900580942
Property Insurance $ 005 $ 42 $ 10601 196798863889 11267176542 02499920663 90266351433
Total Expenses $ 112 $ 990 $ 249535 281508617823 09686995581 01118170881 119863342059
58584849751 0106864586 04187933949 44180073736
126756167712 1265684516 02796423029 87538414144
176550549412 24957340254 02343899179 88904473415
252421786235 28063734042 03142238564 133776179357
191875932907 13637043757 03440324697 987034902
159508092934 13109374847 02091697013 98967206196
342739845467 09614092295 03929892961 129755936769
192510355167 32804720611 01743191858 134560085596
257829360401 13666691797 01527100011 56329812754
358622391559 14251973427 03437553732 101098436889
217744157919 24046486586 01864745418 68711016642
222112557003 22022148788 07879755849 97807110765
202535763689 04548110217 10003436751 127886698915
155879815194 23816051158 04816227091 119033557201
11066078843 23413202706 06413902496 81812176347
151924709838 18873401649 05711000232 105403544539
163604010853 16052949068 02714509557 82030431823
133974400047 11018949984 03560839935 59096477943
133528448829 13647819036 02538331588 66159357367
187400008959 16889788117 030870974 115752907975
155246293804 18308314258 03852380906 116657595614
34082816218 05447090935 09838411173 13641308574
201220131342 11192465065 03188344246 93786154242
139108532616 13313944086 03887737775 69698295902
191656858207 15717927807 06002115982 119380046581
200921599083 12597596226 03267106334 82474085087
57536742874 00453219212 00300766262 10569757217
120548294116 11607892527 03275736725 74435143659
123188534664 1404028789 03510968138 78762080781
59543029729 0899713372 01652374748 28143456117
144215639215 19193238703 02899837711 67370054173
340046684831 19619729415 04325060698 120608464163
208244777176 28183367899 037 73104355304
234349752613 19432301154 0351134881 107484594815
136370903402 17029933791 01989576534 50899930579
149968383478 14209793679 02735642323 63813718869
81145819519 0920766851 00474564037 30674168785
226307446224 12529424404 02036192613 69235920453
132787305462 08047482453 01232346659 41808605432
251519090044 21798380428 0376480317 80396623551
492269138212 12196979039 02981674812 128316943664
107177195916 08016374211 0113808252 40618650625
128238528886 10751217142 01843492552 6476830365
57582611557 11908427448 0874334536 134004066235
43835651097 34822540694 03904989384 146763800425
205787355386 1429219053 02624404931 5321754079
463148430769 07709353846 06150738462 101617384615
377949548611 28670972222 08296944444 109743576389
360087564176 03501711352 18551055334 110041072447
18371979614 18232783153 07267294459 61184870906
678035276363 13443501226 10431616676 167533484248
56073359244 10138647576 01591318768 51440832304
189431314891 05101557395 03677787459 41010945328
383550342095 23244425576 04086557393 98151764619
115544349685 03310482653 037 40344851625
7552318246 0955023726 01241945851 24368780848
133083101881 19451300341 00938801919 48731378614
122308363087 13760780005 01439989014 45100624828
84908269322 10857071617 01155797799 36082570734
263116048067 10733627163 041902582 60372732395
76183752731 09621126305 01069925907 26170373239
172494454001 11781600332 03919686814 59016193131
342076422068 22741368431 03165622465 73557085549
215534567901 1485497076 02210396361 49118778428
314593058927 23798916958 02751353803 121998559501
586535191691 21029046354 02109026171 91979074439
138093310078 14595490221 02142269839 44286283792
227203645682 04584630891 05737147639 93344680527
572754455737 17713614269 01642228739 92545561671
60603870458 04541110154 01180884676 15902125521
358781017266 33847643857 06854022643 139200146946
342079216629 24477703832 0463059603 67166143833
651201231187 51019950176 12529595849 222094150831
369798669702 21700816928 0444474205 101410502507
421838575952 28823013788 05443272608 151399739597
626095189209 20826275416 04947814184 184651096472
214882899762 25034709712 06359683889 109534721722
274037120739 26718517094 037 67504928595
252667703737 25588590114 05379535858 109041874345
59253832495 01099622961 04620367393 19262874847
150862851538 18053109961 07398729558 71488607075
111196959019 00928417366 037 09427894164
667360269858 07921160191 02989609494 104670639024
2356 160 036 852
Log(Vacancies amp Rent Loss rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified -00318 00916 -00313 07289
Fitness Center 01008 01480 01060 04969
Pool 01126 01133 01192 03253
Outdoor Common Area 02673 01691 03064 01162
Walk Score 00102 00041 00102 00140
of Unfurnished Apartments -00003 00006 -00003 06769
Average Apt Unit Size -00003 00005 -00003 06067
Age -00026 00056 -00026 06428
Building Mix 00099 01008 00099 09219
Note R2 = 645
Log(Total Rents Collected rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00996 00591 01047 00941
Fitness Center 00684 00962 00708 04783
Pool 00089 00916 00089 09231
Outdoor Common Area -00837 01126 -00803 04587
Walk Score 00065 00028 00065 00218
of Unfurnished Apartments -00009 00004 -00009 00290
Average Apt Unit Size -00002 00003 -00002 05298
Age 00008 00037 00008 08237
Building Mix 00043 00695 00043 09507
Note R2 = 3318
Log(Total Actual Collections rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00944 00579 00991 01052
Fitness Center 00739 00942 00767 04343
Pool 00130 00886 00131 08834
Outdoor Common Area -00794 01102 -00764 04721
Walk Score 00066 00027 00066 00176
of Unfurnished Apartments -00008 00004 -00008 00322
Average Apt Unit Size -00002 00003 -00002 05034
Age 00015 00037 00015 06799
Building Mix 00249 00678 00252 07140
Note R2 = 3219
Log(Management Fee rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00199 00593 00201 07382
Fitness Center -00082 00958 -00082 09319
Pool 00174 00772 00176 08236
Outdoor Common Area 00153 01104 00154 08898
Walk Score 00070 00028 00071 00139
of Unfurnished Apartments -00014 00004 -00014 00007
Average Apt Unit Size -00005 00003 -00005 01317
Age 00014 00037 00014 07146
Building Mix -00674 00657 -00652 03066
Note R2 = 1697
Log(Total Utilities Rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00873 00646 00912 01786
Fitness Center 01176 01048 01248 02639
Pool 00116 00929 00116 09012
Outdoor Common Area 00223 01217 00225 08551
Walk Score 00069 00030 00069 00228
of Unfurnished Apartments -00007 00004 -00007 01153
Average Apt Unit Size -00003 00004 -00003 03381
Age 00049 00041 00049 02314
Building Mix -01198 00742 -01129 01087
Note R2 = 2171
Log(MampR rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00937 00639 00983 01447
Fitness Center 00038 01036 00038 09711
Pool 01320 00887 01411 01414
Outdoor Common Area -00522 01198 -00508 06639
Walk Score 00110 00029 00111 00002
of Unfurnished Apartments -00009 00004 -00009 00377
Average Apt Unit Size 00001 00004 00001 08665
Age 00076 00040 00077 00586
Building Mix 00598 00727 00616 04122
Note R2 = 2620
Log(Subtotal Maintenance rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 01181 00708 01254 00976
Fitness Center 00409 01149 00418 07221
Pool 01516 01008 01637 01377
Outdoor Common Area -00781 01332 -00751 05587
Walk Score 00119 00033 00120 00004
of Unfurnished Apartments -00008 00005 -00008 00838
Average Apt Unit Size 00005 00004 00005 01980
Age 00104 00045 00105 00207
Building Mix 02440 00812 02764 00031
Note R2 = 3218
Log(Property Insurance rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 01239 00627 01319 00503
Fitness Center -00035 01025 -00035 09726
Pool 00227 01040 00230 08273
Outdoor Common Area 00156 01207 00157 08974
Walk Score 00073 00030 00073 00175
of Unfurnished Apartments -00010 00004 -00010 00180
Average Apt Unit Size -00006 00004 -00006 00739
Age 00010 00040 00010 08091
Building Mix -00520 00749 -00507 04887
Note R2 = 3902
Log(Total All Expenses Rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 01232 00565 01311 00311
Fitness Center 00096 00919 00097 09168
Pool 01610 00847 01747 00607
Outdoor Common Area -00362 01072 -00355 07361
Walk Score 00087 00026 00088 00012
of Unfurnished Apartments -00009 00004 -00009 00216
Average Apt Unit Size -00002 00003 -00002 06220
Age 00016 00036 00016 06614
Building Mix 00158 00658 00159 08106
Note R2 = 2943
Log(NOI Rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00932 00702 00977 01863
Fitness Center 01113 01144 01177 03325
Pool -00609 01107 -00591 05838
Outdoor Common Area -01393 01341 -01300 03006
Walk Score 00045 00033 00045 01797
of Unfurnished Apartments -00007 00005 -00007 01306
Average Apt Unit Size -00002 00004 -00002 06220
Age 00035 00045 00035 04386
Building Mix 00489 00829 00501 05562
Note R2 = 3669
Concessions rentable sf
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 01111 01815 01175 05416
Fitness Center -05094 02955 -03991 00871
Pool -00886 02792 -00848 07519
Outdoor Common Area 04576 03456 05803 01876
Walk Score 00121 00086 00121 01609
of Unfurnished Apartments -00007 00012 -00007 05606
Average Apt Unit Size -00003 00010 -00003 07532
Age 00130 00115 00131 02598
Building Mix -03720 02130 -03106 00828
Note R2 = 2402
Y Term ~Bias Estimate EXP estimate Practical Interpretation increasedecrease Std Error DFDen t Ratio Probgt|t| Estimate Std Error Practical Interpretation Significance
Log(Vacancies amp Rent Loss rentable sf) Intercept 00893029328 10934118365 934 06116337119 1083785495375 01460072116 08841869197 Green Cert
Log(Vacancies amp Rent Loss rentable sf) Green Certified (1=yes 0=no)[Yes] -0031825668 09686754385 -313 009164153 139931853592 -03472843369 07288994904 Gym
Log(Vacancies amp Rent Loss rentable sf) Gym (1=yes 0=no)[Yes] 01007730854 11060256399 1060 01479591517 1412043780621 0681087207 0496931725
Log(Vacancies amp Rent Loss rentable sf) Pool (1=yes 0=no)[Yes] 01125884395 11191712315 1192 0113345701 506840641957 09933190097 032527325
Log(Vacancies amp Rent Loss rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 02672618233 13063824429 3064 01690835398 1429144230275 15806495624 01161688791
Log(Vacancies amp Rent Loss rentable sf) Walk Score 00101642302 10102160615 102 00040763935 1219632686439 24934369735 00139912712
Log(Vacancies amp Rent Loss rentable sf) of Unfurnished Apartments -0000250981 09997490505 -003 00006011213 142449410245 -04175214322 06769256723
Log(Vacancies amp Rent Loss rentable sf) Average Apt Unit Size -00002575258 09997425074 -003 00004990119 1315989429881 -05160713681 06066705884
Log(Vacancies amp Rent Loss rentable sf) Age -00026152008 09973882158 -026 00056263988 1391583522195 -04648090107 06427946925
Log(Vacancies amp Rent Loss rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00099001013 10099492694 099 0100821633 1384002310718 00981942166 09219201454
Log(Total Rents Collected rentable sf) Intercept 30195696974 204824761253 194825 04164909532 1420770663705 72500246992 0
Log(Total Rents Collected rentable sf) Green Certified (1=yes 0=no)[Yes] 00996165255 11047471944 1047
Hopkins Erin Hopkins Erincant provide a confidencd interval for it
00590542761 1286416575023 16868638818 0094053065 0099617 00590542761 1047
Log(Total Rents Collected rentable sf) Gym (1=yes 0=no)[Yes] 00684081888 10708023088 708 0096210834 1330244953516 07110237581 04783143732
Log(Total Rents Collected rentable sf) Pool (1=yes 0=no)[Yes] 00088712036 10089106694 089 00916333982 708572236354 00968119025 09231490817
Log(Total Rents Collected rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00836597449 09197441505 -803 01126005752 1404546011941 -07429779537 04587359136
Log(Total Rents Collected rentable sf) Walk Score 0006479206 10065002414 065 0002794287 1413201347208 23187331419 00218436949
Log(Total Rents Collected rentable sf) of Unfurnished Apartments -00008678845 0999132492 -009 00003932429 1359586026848 -22069932213 00289920945 variance components to talk about how much of the total error that is attribuatle to city
Log(Total Rents Collected rentable sf) Average Apt Unit Size -00002078918 09997921298 -002 00003300088 1382568544162 -06299582685 05297616269
Log(Total Rents Collected rentable sf) Age 00008364704 10008368204 008 00037477419 1387794745176 02231931757 08237133506
Log(Total Rents Collected rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00042999624 10043092206 043 0069466499 142786243042 00618998008 09507291881
Log(Total Actual Collections rentable sf) Intercept 30681072891 215011686418 205012 04070110501 1415072794017 75381424868 0
Log(Total Actual Collections rentable sf) Green Certified (1=yes 0=no)[Yes] 00944491888 10990533175 991 00578900924 1291837028308 16315259643 01052148631
Log(Total Actual Collections rentable sf) Gym (1=yes 0=no)[Yes] 00739127176 10767128233 767 0094247393 1335821297113 07842415071 04342868782
Log(Total Actual Collections rentable sf) Pool (1=yes 0=no)[Yes] 00130418887 10131273051 131 00885804441 654593026021 01472321442 08834013324
Log(Total Actual Collections rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00794248992 0923647384 -764 01101507414 1410305976559 -07210564195 04720684016
Log(Total Actual Collections rentable sf) Walk Score 00065530115 10065745295 066 00027272037 14047408887 24028316857 00175745575
Log(Total Actual Collections rentable sf) of Unfurnished Apartments -0000833078 09991672689 -008 00003850262 1365168778586 -21636916411 00322285543
Log(Total Actual Collections rentable sf) Average Apt Unit Size -00002169447 09997830788 -002 00003233576 1393662972101 -06709126047 05033865944
Log(Total Actual Collections rentable sf) Age 00015178151 10015189676 015 0003670824 1398532082324 04134807595 06798877496
Log(Total Actual Collections rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00249154485 10252284322 252 0067842812 1423468871242 03672525904 07139760316
Log(Management Fee rentable sf) Intercept -02128803278 08082528568 -1917 04254329778 585619088893 -0500385111 06186792644
Log(Management Fee rentable sf) Green Certified (1=yes 0=no)[Yes] 0019865513 10200641454 201 00593086525 1354977267554 03349513461 07381797603
Log(Management Fee rentable sf) Gym (1=yes 0=no)[Yes] -00082052627 09918283086 -082 00958032958 1386068833723 -00856469772 09318706455
Log(Management Fee rentable sf) Pool (1=yes 0=no)[Yes] 00174275629 10175803089 176 00771880661 202180965349 02257805358 08236388274
Log(Management Fee rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00153191452 10154370848 154 01103651216 1423896402644 01388042255 08898009734
Log(Management Fee rentable sf) Walk Score 00070459229 10070708039 071 00028008303 805559990921 25156550566 0013868745
Log(Management Fee rentable sf) of Unfurnished Apartments -0001358177 09986427449 -014 00003916726 1421224837061 -34676335479 00006950146
Log(Management Fee rentable sf) Average Apt Unit Size -00005130214 09994871101 -005 00003375961 1007585612206 -15196307445 0131735624
Log(Management Fee rentable sf) Age 00013613923 10013623194 014 00037151697 1277713043957 03664414822 07146417588
Log(Management Fee rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -00674463479 09347778721 -652 00657081953 1299283630266 -10264525997 03065854809
Log(Total Utilities Rentable sf) Intercept -03748562337 06873880949 -3126 04464274077 1402143832266 -08396801522 04025171642
Log(Total Utilities Rentable sf) Green Certified (1=yes 0=no)[Yes] 00873163337 10912418217 912 0064576715 1358457024729 13521334071 01785794114
Log(Total Utilities Rentable sf) Gym (1=yes 0=no)[Yes] 01175979311 11247917766 1248 01048349264 1384172144229 11217438221 02639135776
Log(Total Utilities Rentable sf) Pool (1=yes 0=no)[Yes] 00115680134 10116351816 116 00928512423 72633370166 01245865221 09011950626
Log(Total Utilities Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00222539972 10225034645 225 01216524447 1425571484619 01829309493 0855112103
Log(Total Utilities Rentable sf) Walk Score 00068649233 10068885409 069 00029812807 1396033046894 23026759291 00227754146
Log(Total Utilities Rentable sf) of Unfurnished Apartments -00006773222 09993229071 -007 00004273761 1401067188346 -15848386198 01152575495
Log(Total Utilities Rentable sf) Average Apt Unit Size -00003442022 0999655857 -003 00003581401 1425120147852 -09610825805 03381384619
Log(Total Utilities Rentable sf) Age 00048795122 10048914364 049 00040600929 1425855030198 12018227897 02314244716
Log(Total Utilities Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -01198355423 08870663096 -1129 00742421382 1413320388001 -16141176043 01087323819
Log(MampR rentable sf) Intercept -09030689887 04053238148 -5947 0437858541 1384008312652 -20624674504 00410332652
Log(MampR rentable sf) Green Certified (1=yes 0=no)[Yes] 00937424436 10982768413 983 00639155521 1376081716673 14666609392 01447499128
Log(MampR rentable sf) Gym (1=yes 0=no)[Yes] 00037664885 10037735907 038 01036113865 1396450691334 00363520715 09710535435
Log(MampR rentable sf) Pool (1=yes 0=no)[Yes] 01319613595 11410642271 1411 00887446725 719561267791 14869778183 0141389644
Log(MampR rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00521515872 09491849716 -508 01197720975 1428478988157 -04354235112 06639122497
Log(MampR rentable sf) Walk Score 00110131704 10110740386 111 00029197236 1385662208531 37719907631 00002391344
Log(MampR rentable sf) of Unfurnished Apartments -00008849955 09991153959 -009 00004219429 1410140957414 -20974297602 0037740228
Log(MampR rentable sf) Average Apt Unit Size 00000594506 10000594524 001 0000353075 1429981472006 01683796031 08665225748
Log(MampR rentable sf) Age 0007624822 1007653965 077 00039990018 142990029884 19066812998 00585678315
Log(MampR rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00598131349 10616381449 616 00727173027 1406732379184 08225433659 04121598071
Log(Subtotal Maintenance rentable sf) Intercept -07997344997 04494482769 -5506 0489167182 1380935604874 -16348899298 01043496414
Log(Subtotal Maintenance rentable sf) Green Certified (1=yes 0=no)[Yes] 01180969773 11253532398 1254 00707986514 1348907221481 16680681771 00976219515
Log(Subtotal Maintenance rentable sf) Gym (1=yes 0=no)[Yes] 00409351965 10417845921 418 01148796072 1378640116803 03563312718 07221372278
Log(Subtotal Maintenance rentable sf) Pool (1=yes 0=no)[Yes] 01515780559 11636691295 1637 0100780712 617547240206 15040383505 01376688864
Log(Subtotal Maintenance rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -0078076377 09248937833 -751 01331885868 1426567369893 -05862092154 05586613077
Log(Subtotal Maintenance rentable sf) Walk Score 0011889233 10119601909 120 00032614069 1377504918879 36454307183 00003773801
Log(Subtotal Maintenance rentable sf) of Unfurnished Apartments -00008153416 09991849907 -008 00004682078 1398534995511 -17414095506 00838107083
Log(Subtotal Maintenance rentable sf) Average Apt Unit Size 00005083484 10005084776 005 00003930253 1428434249161 12934242295 01979520949
Log(Subtotal Maintenance rentable sf) Age 00104106727 10104650523 105 00044515054 1428449267664 23386858733 00207383998
Log(Subtotal Maintenance rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 02440298206 12763823925 2764 0081177414 1402563601749 30061295196 00031359748
Log(Property Insurance rentable sf) Intercept -08916874806 04099633635 -5900 04516384713 1429624291993 -19743390727 00502702101
Log(Property Insurance rentable sf) Green Certified (1=yes 0=no)[Yes] 01239058141 11319092561 1319 0062692592 1281678143933 19764027959 00502564371
Log(Property Insurance rentable sf) Gym (1=yes 0=no)[Yes] -0003522638 09964835593 -035 01024969537 1314939748594 -0034368221 09726356404
Log(Property Insurance rentable sf) Pool (1=yes 0=no)[Yes] 00227423743 10230029538 230 01040308572 1125700947624 02186118131 08273482928
Log(Property Insurance rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00155809876 10157030041 157 01206677853 1368483458399 01291230096 08974498986
Log(Property Insurance rentable sf) Walk Score 00072977866 10073244804 073 00030353828 1428602075435 24042392705 00174877086
Log(Property Insurance rentable sf) of Unfurnished Apartments -00010061941 09989943119 -010 0000420017 1337858380697 -23956034086 00179774093
Log(Property Insurance rentable sf) Average Apt Unit Size -00006330482 09993671521 -006 00003514502 1338864329416 -18012458048 0073914725
Log(Property Insurance rentable sf) Age 00009661099 10009665767 010 00039921418 1338497494964 02420028921 08091483095
Log(Property Insurance rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -00520208103 09493091112 -507 00749301111 1411273861679 -06942577501 04886618561
Log(Total All Expenses Rentable sf) Intercept 17410862845 57035357214 47035 03946731547 141889623796 44114636723 00000201648
Log(Total All Expenses Rentable sf) Green Certified (1=yes 0=no)[Yes] 01231722438 11310792255 1311 00565275641 1341244163534 21789766772 00310802733
Log(Total All Expenses Rentable sf) Gym (1=yes 0=no)[Yes] 00096244971 10096709615 097 00919378962 1370603130567 01046847658 09167789899
Log(Total All Expenses Rentable sf) Pool (1=yes 0=no)[Yes] 01610294116 11747195186 1747 00846545666 801516751987 19021940341 00607378863
Log(Total All Expenses Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00361842114 09644626121 -355 01071504659 1418739239709 -03376953252 07360919324
Log(Total All Expenses Rentable sf) Walk Score 00087371658 10087754463 088 00026426023 1411809488418 33062734678 00011989895
Log(Total All Expenses Rentable sf) of Unfurnished Apartments -00008720665 09991283137 -009 00003752966 1389800988186 -23236728617 00215934791
Log(Total All Expenses Rentable sf) Average Apt Unit Size -0000155413 0999844599 -002 00003145108 1409449329598 -0494142052 06219751067
Log(Total All Expenses Rentable sf) Age 00015666155 10015678433 016 00035695206 1412387206124 04388868073 06614142124
Log(Total All Expenses Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00157918953 10159172462 159 00657593447 1424551160559 02401467861 08105616925
Log(NOI Rentable sf) Intercept 27416093787 155119295878 145119 049686036 1426328429735 55178669889 0000000157
Log(NOI Rentable sf) Green Certified (1=yes 0=no)[Yes] 00932241108 10977077159 977 00701671113 1292740226257 13286012361 01863200879
Log(NOI Rentable sf) Gym (1=yes 0=no)[Yes] 0111280688 11177085902 1177 0114413579 13320261997 09726178396 03325061802
Log(NOI Rentable sf) Pool (1=yes 0=no)[Yes] -00608871507 0940929417 -591 01107002034 838263437204 -05500184174 05837693269
Log(NOI Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -01393113526 08699571229 -1300 01340931949 1397855428856 -10389144106 03006382455
Log(NOI Rentable sf) Walk Score 00045000262 10045101666 045 0003337636 1423581725818 13482675372 01797136327
Log(NOI Rentable sf) of Unfurnished Apartments -00007116645 09992885887 -007 00004679272 1358400867851 -15208872073 01306124688
Log(NOI Rentable sf) Average Apt Unit Size -00001937801 09998062387 -002 00003921685 1372175013367 -04941245389 06220083144
Log(NOI Rentable sf) Age 00034607088 1003466704 035 00044548378 1376438770548 07768428318 04385844885
Log(NOI Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00488697769 10500835966 501 00828565286 1429949688826 05898120243 0556247504
Concessions rentable sf Intercept 0091580439 10959049266 959 12772069558 1418541020247 00717036801 09429387231
Concessions rentable sf Green Certified (1=yes 0=no)[Yes] 01110697527 11174728508 1175 01814813765 1293641668833 06120173584 05416004511
Concessions rentable sf Gym (1=yes 0=no)[Yes] -05094051331 06008529 -3991 02955403985 1336296409402 -17236395961 00870857294
Concessions rentable sf Pool (1=yes 0=no)[Yes] -00886152984 09151975838 -848 02791864929 69298361986 -03174053928 07518903943
Concessions rentable sf Outdoor Common Area (1=yes 0=no)[Yes] 04576291372 15803228114 5803 03455726285 1408379747117 13242632646 01875606951
Concessions rentable sf Walk Score 00120688741 10121419968 121 00085630896 1409791646097 14094064916 01609170757
Concessions rentable sf of Unfurnished Apartments -00007045588 09992956894 -007 00012075862 1364744404696 -05834438741 05605574922
Concessions rentable sf Average Apt Unit Size -00003193903 09996806607 -003 00010135961 1389703034326 -03151061148 07531537379
Concessions rentable sf Age 00130223218 10131074815 131 00115086772 139464867267 11315220311 02597773256
Concessions rentable sf Building Mix (0=multifamily 1 = mixed-use)[Mixed] -03719888249 06893619462 -3106 02129597676 1426034459287 -17467563435 00828326573
Page 3: AUGUST 21- 23, 2018 • CLEVELAND, OHIO€¦ · Business Case 2.0: New Research Around High Performing Buildings Thursday 23 rd, 2018 10:30am – 12:00pm

Paul Mathew

Staff Scientist and Department Head of Whole Building SystemsLawrence Berkeley National Laboratory

Paolo Issler

Real Estate and Financial Markets Lab DirectorUniversity of California Berkeley

Erin Hopkins

Assistant Professor of Property ManagementVirginia Tech

Andrew White

Associate ManagerRE Tech Advisors

Panelists

Energy and Default Risk in Commercial Mortgages

4

Paulo IsslerReal Estate amp Financial Markets Lab DirectorUniversity of California Berkeley

5

Acknowledgements Holly Carr (US DOE) Cindy Zhu (US DOE)

Philip Coleman (LBNL) Jeff Deason (LBNL) Tianzhen Hong (LBNL) Paulo Issler (UCB) Paul Mathew (LBNL) Emily McLaughlin (IMT) Baptiste Ravache (LBNL) Kaiyu Sun (LBNL) Nancy Wallace (UCB)

6

The link between energy and CRE mortgages Net Operating Income (NOI) the key financial measure for CRE valuation and mortgage risk Energy cost is one of the largest components of Net Operating Income (NOI)

Energy prices are highly volatile Poor CRE property management can severely impact energy consumption

Current practice does not fully account for these factors in calculation of Net Operating Income (NOI) Usually based on historical average cost data if available Does not account for energy use and price volatility during mortgage term

Key question How much do these factors ldquomove the needlerdquo for NOI and default risk

Energy Use VolumeElectricity kWhkW fuel therms etc

Driven by bldg features operations climate

Energy Use Volatility+- change over mortgage term

Driven by bldg operations weather variation

Energy Price$kWh $kW $therm

Set by rate structure

Energy Price Volatility+- change over mortgage term

Driven by rate structure forward price curves

7

Approach Impact of energy on default rateMortgage Default Rate = f (EUI ElecPriceGap CouponSpread LTV Region more controlshellip)

TREPPLoan Dataset

geocode

Benchmark Disclosure

Dataset

Expanded Benchmark Disclosure

match

Combined TREPP mortgage performance and Benchmarking Disclosure Datasets

ISO ElectricityHH Nat Gas

Datasets

match amp calc

Interest Rate Proxy

Dataset

match amp calc

Empirical analysis combiningbull Mortgage loan data (TREPP) bull Energy use data (Benchmarking disclosure)

8

Default risk and source EUI (cont)

The coefficient estimates for BOTH the Electricity Price Gap and Source EUI are significant at better than the 05 level of statistical significance

bull The higher the Source EUI (the more energy usage per square foot) the higher the likelihood of default

bull The higher the Electricity Price Gap (the larger the difference between the actual and the expected electricity prices since the loan origination) the higher the likelihood of default

Office + Retail ndash Linear probability model

9

Default risk and source EUI

Coefficient Estimate Standard Error

Intercept -040444 018466Log Source EUI 007335 003129

Origination Loan-to-Value Ratio 000258 000096

Coupon Spread to 10 Year Treasury 002188 001565

Electricity Price Gap 000003 000001

Time to Maturity on Balloon -000189 000060

Origination Year Fixed Effects Yes

473 observations R2 = 1052 plt01 plt005 plt001

Office + Retail ndash Linear probability model

10

Default risk and source EUI (cont)

Coefficient estimates are significant and robust for three cohorts all buildings Office + multiuse + retail office only Coefficient estimates for electricity price gap significant for all buildings

office + multiuse + retail Consistent results for linear probability and logistic regression models

11

Analysis using Scaled Source EUI ndash Linear probability model

Ratio of Source EUI to NOI(floor area)

Default risk and source EUI (cont)

Coefficient Estimate Standard Error

Intercept -000538 011067Scaled Source EUI 000183 0000369

Origination Loan-to-Value Ratio 000263 000117

Coupon Spread to 10 Year Treasury 000751 0040

Electricity Price Gap 000003 000001

Time to Maturity on Balloon -000203 000068

Origination Year Fixed Effects Yes

339 observations R2 = 1768 plt01 plt005 plt001

Scaled Source EUI (Office + MU + Retail) ndash Linear probability model

12

What are the impacts on specific loansCollaborate with lenders to 1 Demonstrate impact of energy use and price on specific mortgage loans2 Develop recommendations

Approach Compile info from Appraisals PCAs

other sources Estimate source EUI variations

Simulation and empirical approaches

Compute electricity price gap using forward curves

Compute default risk impact due to source EUI and electricity price gap

13

Case Studies

Denver Office

Denver Hotel

San Francisco Multi-family

San Jose Office Sonoma Office

Denver Office ndash energy use and default riskFacilities Management factors HVAC schedule Thermostat setback Supply air temp control VAV min flow control Economizer controls Lighting controlsLevels good average poor

Occupancy factors Occupant density Occupant schedule Plug load density Plug load controlsLevels goodlow average poorhigh

CaseFacilities mgmtfactors

OccupancyFactors

Source EUI change ()

Default risk change (bp)

1 Good GoodLow -54 -248

2 Good Ave -33 -127

3 Ave Ave - -

4 Good PoorHigh +4 +12

5 Poor GoodLow +64 +158

6 Poor Ave +76 +181

7 Poor PoorHigh +132 +268

15

Denver Office ndash energy price and default risk

16

Case Studies ndash summary of risks impacts

Building Source EUI variation ()

Default rate variation (bp)

Default rate variation relative to TREPP avg ()

Denver Office -54 to +132 -248 to +268 -31 to +34

Sonoma Office -40 to +183 -161 to +331 -20 to +41

San Jose Office -62 to +119 -308 to +249 -39 to +31

Denver Hotel -11 to +17 -37 to +49 -5 to +6

San Francisco Multi-family -20 to +26 -72 to +74 -9 to +9

Wholesale price region Default rate variation (bp) Default rate variation relative to TREPP avg ()

Denver area +159 to +501 +20 to +63

Northern California -49 to +705 -6 to +88

Compare to TREPP average default rate of 800bp

17

Case Studies ndash business impactThese results showing the impact of energy on default risk are clearly meaningful I dont currently consider energy efficiency when making a loan and seeing this makes me think I would want to ask about itrdquo

I would like to apply these findings but would want an easy way to use it A simple score or ratio for energy risk would be good In fact I would be interested to pilot test it

Keith Hanley Silicon Valley Bank

18

Looking Ahead

Looking Ahead ndash our visionTo have energy factors fully and routinely incorporated in commercial mortgage valuation accelerating demand for buildings with lower energy risk

20

Show that energy matters

Develop and pilot

interventions Disseminate

best practices Institutionalize

Analysis of energy impacts

Long term

Case studies on actual mortgage loans

Protocols and tools for lenders and owners

Industry Standards

Scope of current effort

RecommendationsLenders Ask owners to provide info on energy cost range

Account for variations in energy use and energy price Could be done as part of Property Condition Assessment Can reference ASTM standard

Incorporate energy risk factor into underwriting and terms eg Interest rate discount for lower risk

Offer additional loan proceeds for EE investments

Owners Ask lenders to account for energy efficiency when setting mortgage

terms Provide data on energy costs to lender

Historical and anticipated In appraisal andor PCA

21

Thank you

Money Matters Exploring the Financial Impacts of Green Certifications in the Multifamily Rental Sector

Erin A Hopkins PhD CAPS LEED Green AssociateAssistant Professor of Property Management

bull Sample 153 properties from 2 of National Multifamily Housing Councilrsquos 2016 50 Largest Apartment Managers

bull Green-certified 2288 of properties (35 properties)bull Methodology Multiple Regression Analysisbull Controls Location Fitness Center Pool Outdoor Common Area Walk

Score of Unfurnished Apartments Average Apartment Unit Size Age Building Mix

bull Limitations Building class not directly taken into account

Overview of Research

Certifications Represented in Sample

Austin Energy Green Buildingreg (AEGB)

Rating System(3)

ENERGY STARreg

(1)

Florida Green Building Coalition

(FGBC)(1)

GreenPoint Rated(4)

LEEDreg

(16)

National Green Building Standardtrade

(NGBS)(11)

Properties by City

2

4

2 2 21 1

3

1 1 12 2

1 1 1

6

1 1

8

11

4

6

14

3

1

19

3

1 1

7

43

2

9

18

2 2

0

2

4

6

8

10

12

14

16

18

20

Summary Statistics of City Datan=153

Summary Satistics of City Data Green Bldgs Summary Satistics of City Data Non-Green Comparables

Descriptive

97

71

100

31

89

69

93

24

0

20

40

60

80

100

120

Fitness Center Pool Outdoor Common Area Mixed-Use Property

Summary Statistics of Green vs Non-Green Propertiesn = 153

Green Non-Green

Descriptive

73228

866

2011

74

259

894

2003

0

500

1000

1500

2000

2500

Walk Score Average Number of Units Average Apt Unit Size (sf) Age

Summary Statistics of Green vs Non-Green Properties

n = 153

Green Non-Green

Findings

Total Rents Collected1047

Total Maintenance1254

Property Insurance1319

Total Expenses1311

Higher rents and expenses

Financial Impacts of Green

Dependent Variable Per Square Foot Per Apartment Per PropertyTotal Rents Collected 247$ 2189$ 551683$ Subtotal Maintenance 020$ 178$ 44843$ Property Insurance 005$ 42$ 10601$ Total Expenses 112$ 990$ 249535$

Coefficients Standard Errors

Tables

Summary of Green Impacts

Summary Table

Discussion

bull Assume efficient operations will offset the higher rent

bull Philanthropic motivesbull Prestige motivesbull Green buildings tend to be newermore

likely to offer the more sought-after amenities and finishes

bull Tend to be in higher-income areaslikely have higher rents

Different motivations for paying higher rent may be in

play

Discussion

Higher Operating Expenses a Surprise

Does not align with much of the existing researchhellipbut no research on effects of green certification on total operating expenses within multifamily rental sector

Many of the certifications represented in this study focus on the design phase of the property vs the operations and maintenance phase

And although promotion of sustainability is on the rise in the multifamily housing sector staff may remain unfamiliar with the unique operations and maintenance of green

buildings

Final Thoughts

Apartment homes represent $13 trillion to the US economy and 5 million new rental households are expected by 2023 (National Multifamily Housing Council 2015)

Upfront capital constraints regulatory issues knowledge limitations and marketing concerns may diminish the attractiveness of multifamily rental green building

certification if not properly managed

Most studies focus on office sector andor strictly rents or property value

This study begins to look at the multifamily rental sector and offer a more comprehensive analysis

Further research is needed with larger datasets to understand effects of green certification on income statement components in the apartment industry as NOI

ultimately determines property market valueOptimism that this study can be the impetus for further research contributions on the

financial environmental and resident satisfaction impacts of green practices and certifications on the multifamily rental sector

Contact informationErin A Hopkinserinz1vtedu

Acknowledgementsbull Todd Feist Sustainability Program Manager at The Institute of

Real Estate Management (IREMreg) for his assistance with this research project

bull Yardi and IREMreg for the grant awarded to support this researchbull The two property management companies for sharing their data

BUILDING PERFORMANCE

UNLOCKINGVALUE

New DOE-driven Research Around High Performing Buildings

AUGUST 23 2018

ANDREW WHITEASSOCIATE MANAGERawhiteretechadvisorscom

2015-2016 bull Research design working group pilot study data lab

2017 bull Connect to Real Estate Research Institute (RERI) Literature review and gap analysis

2018 bull Research agenda request for proposals research project selection and execution

Context Setting ndash DOE Research EffortWhat are the impacts of energy efficiency and high-performance building

features on financial performance of commercial real estate

RERIrsquos mission is to encourage and reward research on real estate as an investment and as an asset class that is both academically rigorous and of value to the institutional real estate investment profession In addition RERI serves to provide a forum through which the real estate academic professional and regulatory communities can interact facilitating the exchange of insights amongst these stakeholders

RERI Overview

Sponsors

Build upon DOErsquos Review of Studies in the Market

bull Focus explicitly on peer-reviewed papers Gap analysis of existing research to

identifybull Questions that have already been

sufficiently provenbull Holes in existing body of research

Academic Inputbull Guidance on which studies to includebull Suggestions for how to conduct analysis

Literature Review Objectives

Literature Review Results

LEED

ENER

GY

ST

AR

labe

l

ENER

GY

ST

AR

sc

ore

Ener

gy u

se

BR

EEA

M

Ener

gy

Perf

orm

anc

e Cer

tific

ates

(U

K)

BO

MA

B

EST

Wal

kabi

lity

Non

-ene

rgy

gree

n fe

atur

es

Oth

er

Rent 20 18 1 2 2 2 1 1 1Rent concessions 1 1 1Sales price 9 11 1 1 1 1Assessed value 2 2Market value 1 2 1 2 1Occupancy 10 9 1Lease renewals 1 1 1Service charge 1Operating cost 2 3Energy cost 2 3Tenant satisfaction 1 1 1Sales time 1 1Default rate 2 1Capitalization rate 1 2 2 1Net operating income 1 1 1Loan to value ratio 1 1Debt service coverage ratio 1 1Worker productivity 1 1Other 5 4 1 4 2 2

There is considerable evidence that green building certifications correlate with increased economic value primarily via higher rents and sales prices

bull How do we move beyond certification to analyze performancebull Correlation vs Causation

bull What is driving added value Is it green features and efficiency the green labels themselves or other desirable features often included in certified buildings

Panel studies could help reduce some of the uncertainty and noise Full results presented at ACEEE Summer Study

bull Raising the Rent Premium Moving Green Building Research Beyond Certifications and Rent

bull Cindy Zhu Andrew White Paul Mathew Jeff Deason Philip Coleman

Literature Review Results

Research Agenda Core QuestionldquoHow does ltenergygreen metricgt affect ltfinancial value metricgtrdquo

EnergyGreen Metric

Site energy use or EUI

Source energy use or EUI

Energy cost or costsf

ENERGY STAR score

ENERGY STAR label

Green Building Certification (LEED BOMA 360)

Green Building Certification level (eg LEED Silver Gold)

Financial Value Metric

VacancyOccupancy Sales Price

Leasing Velocity (absorption speed of sales leasing)

Regulatory amp Compliance Risk

Tenant Renewals Insurance (rates ability)

Tenant Satisfaction Default Risk

Rental Income and Rent Concessions Debt Service Coverage Ratio

Marketing Costs Access to Funding

Utility Costs Maintenance OpEx Interest Rates

Obsolescence Reserves

Capitalization Rates

12 proposals received 5 projects selected Criteria

bull Department of Energy goals

bull Impact on Commercial Real Estate (CRE) Industry

bull Feasibility and Interest

bull Quality and Validity

Proposal Reviews

Jim Clayton Avis Devine (York University) and Rogier Holtermans(University of Guelph) Analyzing four types of energy

efficiency interventions on financial components that impact property-level NOI

bull How do interventions impact different aspects of building operations and their subsequent financial impact

Beyond Environmental Building Certification The Impact of Environmental Interventions on Commercial Real Estate Operations

Piet Eichholtz and Nils Kok (Maastricht University) and RogierHoltermans (University of Guelph) Three key questions

bull How is environmental building certification related to commercial building energy consumption

bull How does aging affect the energy consumption of the commercial building stock

bull To what extent do specific energy efficiency investments affect energy consumption in commercial real estate

The Dynamics of Energy Consumption in Commercial Real Estate

Sofia Dermisi Chris Lee and YoungjinChoe (University of Washington) Exploring the effect of disclosure

policies on office building marketability while assessing potential links between market performance of sustainable assets

bull Before and after the disclosure policies while considering market cycles

bull Before and after ENERGY STAR andor LEED certification

Markets included San Francisco Washington DC

Effect of Energy Benchmarking and Disclosure on Office Building Marketability

Dirk Brounen (Tilburg University) and Gianluca Marcato (Reading University) Analyzing the adoption of GRESB within the public real estate markets and

predicting a potential impact of GRESB scores on REIT returns

Sustainable Insights and Public Real Estate Performance GRESB Effects in REIT Markets

Constantine Kontokosta (New York University) Franz Fuerst(Cambridge University) Gary Pivo (University of Arizona) amp Jacob Sagi (UNC Chapel Hill) Utilizing NYC data to empirically model

bull the spread between the premium for labeled (energy efficient) buildings and the cost to retrofit an under-performing building to meet the same standard which will allow us to understand how much of the observed premium is attributable to energy efficiency and how much can be assigned to other perceived benefits (marketing construction quality etc)

bull the hurdle rate for energy retrofit investments using actual audit data and permitted renovation work

Estimating Office and Residential Building Energy Retrofit Hurdle Rates and Risk Arbitrage in Energy Efficiency Investments

Collecting data for continued Data Lab analysis Presenting Research findings

bull Interim research results ndash IPC Research Symposium (October)bull Greenbuild Session (November)bull RERI Research Conference (April)bull Final research results ndash Better Buildings Webinars Summit 2019 (TBA)

Work with DOE case study and data analysis opportunities abound

Next Steps

Paul Mathew

Lawrence Berkeley National Laboratorypamathewlblgov

Paulo Issler

University of California Berkeleypauloisslerberkeleyedu

Erin Hopkins

Virginia Techerinz1vtedu

Andrew White

RE Tech Advisorsawhiteretechadvisorscom

Contact Info

  • Slide Number 1
  • Business Case 20 New Research Around High Performing Buildings
  • Panelists
  • Energy and Default Risk in Commercial Mortgages
  • Paulo Issler
  • Acknowledgements
  • The link between energy and CRE mortgages
  • Approach Impact of energy on default rate
  • Default risk and source EUI (cont)
  • Default risk and source EUI
  • Default risk and source EUI (cont)
  • Default risk and source EUI (cont)
  • What are the impacts on specific loans
  • Case Studies
  • Denver Office ndash energy use and default risk
  • Denver Office ndash energy price and default risk
  • Case Studies ndash summary of risks impacts
  • Case Studies ndash business impact
  • Looking Ahead
  • Looking Ahead ndash our vision
  • Recommendations
  • Slide Number 22
  • Money Matters Exploring the Financial Impacts of Green Certifications in the Multifamily Rental SectorErin A Hopkins PhD CAPS LEED Green AssociateAssistant Professor of Property Management
  • Overview of Research
  • Certifications Represented in Sample
  • Properties by City
  • Descriptive
  • Descriptive
  • Findings
  • Financial Impacts of Green
  • Discussion
  • Discussion
  • Final Thoughts
  • Slide Number 34
  • Slide Number 35
  • Context Setting ndash DOE Research Effort
  • RERI Overview
  • Literature Review Objectives
  • Literature Review Results
  • Literature Review Results
  • Research Agenda Core Question
  • Proposal Reviews
  • Beyond Environmental Building Certification The Impact of Environmental Interventions on Commercial Real Estate Operations
  • The Dynamics of Energy Consumption in Commercial Real Estate
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Y Term ~Bias Estimate EXP estimate Practical Interpretation increasedecrease Std Error DFDen t Ratio Probgt|t| Log(Vacancies amp Rent Loss rentable sf) Log(Total Rents Collected rentable sf) Log(Total Actual Collections rentable sf) Log(Management Fee rentable sf) Log(Total Utilities Rentable sf) Log(MampR rentable sf) Log(Subtotal Maintenance rentable sf) Log(Property Insurance rentable sf) Log(Total All Expenses Rentable sf) Log(NOI Rentable sf) Concessions rentable sf
Log(Vacancies amp Rent Loss rentable sf) Intercept 00893029328 10934118365 934 06116337119 1083785495375 01460072116 08841869197 Green Certified (1=yes 0=no)[Yes] -00318 01047 00991
Log(Vacancies amp Rent Loss rentable sf) Green Certified (1=yes 0=no)[Yes] -0031825668 09686754385 -313 009164153 139931853592 -03472843369 07288994904 Gym (1=yes 0=no)[Yes] 01060 00708 00767
Log(Vacancies amp Rent Loss rentable sf) Gym (1=yes 0=no)[Yes] 01007730854 11060256399 1060 01479591517 1412043780621 0681087207 0496931725 Pool (1=yes 0=no)[Yes] 01126 00089 00131
Log(Vacancies amp Rent Loss rentable sf) Pool (1=yes 0=no)[Yes] 01125884395 11191712315 1192 0113345701 506840641957 09933190097 032527325 Outdoor Common Area (1=yes 0=no)[Yes] 02673 -00803 -00764
Log(Vacancies amp Rent Loss rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 02672618233 13063824429 3064 01690835398 1429144230275 15806495624 01161688791 Walk Score 00102 00065 00066
Log(Vacancies amp Rent Loss rentable sf) Walk Score 00101642302 10102160615 102 00040763935 1219632686439 24934369735 00139912712 of Unfurnished Apartments -00003 -00009 -00008
Log(Vacancies amp Rent Loss rentable sf) of Unfurnished Apartments -0000250981 09997490505 -003 00006011213 142449410245 -04175214322 06769256723 Average Apt Unit Size -00003 -00002 -00002
Log(Vacancies amp Rent Loss rentable sf) Average Apt Unit Size -00002575258 09997425074 -003 00004990119 1315989429881 -05160713681 06066705884 Age -00026 00008 00015
Log(Vacancies amp Rent Loss rentable sf) Age -00026152008 09973882158 -026 00056263988 1391583522195 -04648090107 06427946925 Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00099 00043 00252
Log(Vacancies amp Rent Loss rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00099001013 10099492694 099 0100821633 1384002310718 00981942166 09219201454
Log(Total Rents Collected rentable sf) Intercept 30195696974 204824761253 194825 04164909532 1420770663705 72500246992 0
Log(Total Rents Collected rentable sf) Green Certified (1=yes 0=no)[Yes] 00996165255 11047471944 1047
Hopkins Erin Hopkins Erincant provide a confidencd interval for it
00590542761 1286416575023 16868638818 0094053065
Log(Total Rents Collected rentable sf) Gym (1=yes 0=no)[Yes] 00684081888 10708023088 708 0096210834 1330244953516 07110237581 04783143732
Log(Total Rents Collected rentable sf) Pool (1=yes 0=no)[Yes] 00088712036 10089106694 089 00916333982 708572236354 00968119025 09231490817
Log(Total Rents Collected rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00836597449 09197441505 -803 01126005752 1404546011941 -07429779537 04587359136
Log(Total Rents Collected rentable sf) Walk Score 0006479206 10065002414 065 0002794287 1413201347208 23187331419 00218436949
Log(Total Rents Collected rentable sf) of Unfurnished Apartments -00008678845 0999132492 -009 00003932429 1359586026848 -22069932213 00289920945
Log(Total Rents Collected rentable sf) Average Apt Unit Size -00002078918 09997921298 -002 00003300088 1382568544162 -06299582685 05297616269
Log(Total Rents Collected rentable sf) Age 00008364704 10008368204 008 00037477419 1387794745176 02231931757 08237133506
Log(Total Rents Collected rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00042999624 10043092206 043 0069466499 142786243042 00618998008 09507291881
Log(Total Actual Collections rentable sf) Intercept 30681072891 215011686418 205012 04070110501 1415072794017 75381424868 0
Log(Total Actual Collections rentable sf) Green Certified (1=yes 0=no)[Yes] 00944491888 10990533175 991 00578900924 1291837028308 16315259643 01052148631
Log(Total Actual Collections rentable sf) Gym (1=yes 0=no)[Yes] 00739127176 10767128233 767 0094247393 1335821297113 07842415071 04342868782
Log(Total Actual Collections rentable sf) Pool (1=yes 0=no)[Yes] 00130418887 10131273051 131 00885804441 654593026021 01472321442 08834013324
Log(Total Actual Collections rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00794248992 0923647384 -764 01101507414 1410305976559 -07210564195 04720684016
Log(Total Actual Collections rentable sf) Walk Score 00065530115 10065745295 066 00027272037 14047408887 24028316857 00175745575
Log(Total Actual Collections rentable sf) of Unfurnished Apartments -0000833078 09991672689 -008 00003850262 1365168778586 -21636916411 00322285543
Log(Total Actual Collections rentable sf) Average Apt Unit Size -00002169447 09997830788 -002 00003233576 1393662972101 -06709126047 05033865944
Log(Total Actual Collections rentable sf) Age 00015178151 10015189676 015 0003670824 1398532082324 04134807595 06798877496
Log(Total Actual Collections rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00249154485 10252284322 252 0067842812 1423468871242 03672525904 07139760316
Log(Management Fee rentable sf) Intercept -02128803278 08082528568 -1917 04254329778 585619088893 -0500385111 06186792644
Log(Management Fee rentable sf) Green Certified (1=yes 0=no)[Yes] 0019865513 10200641454 201 00593086525 1354977267554 03349513461 07381797603
Log(Management Fee rentable sf) Gym (1=yes 0=no)[Yes] -00082052627 09918283086 -082 00958032958 1386068833723 -00856469772 09318706455
Log(Management Fee rentable sf) Pool (1=yes 0=no)[Yes] 00174275629 10175803089 176 00771880661 202180965349 02257805358 08236388274
Log(Management Fee rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00153191452 10154370848 154 01103651216 1423896402644 01388042255 08898009734
Log(Management Fee rentable sf) Walk Score 00070459229 10070708039 071 00028008303 805559990921 25156550566 0013868745
Log(Management Fee rentable sf) of Unfurnished Apartments -0001358177 09986427449 -014 00003916726 1421224837061 -34676335479 00006950146
Log(Management Fee rentable sf) Average Apt Unit Size -00005130214 09994871101 -005 00003375961 1007585612206 -15196307445 0131735624
Log(Management Fee rentable sf) Age 00013613923 10013623194 014 00037151697 1277713043957 03664414822 07146417588
Log(Management Fee rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -00674463479 09347778721 -652 00657081953 1299283630266 -10264525997 03065854809
Log(Total Utilities Rentable sf) Intercept -03748562337 06873880949 -3126 04464274077 1402143832266 -08396801522 04025171642
Log(Total Utilities Rentable sf) Green Certified (1=yes 0=no)[Yes] 00873163337 10912418217 912 0064576715 1358457024729 13521334071 01785794114
Log(Total Utilities Rentable sf) Gym (1=yes 0=no)[Yes] 01175979311 11247917766 1248 01048349264 1384172144229 11217438221 02639135776
Log(Total Utilities Rentable sf) Pool (1=yes 0=no)[Yes] 00115680134 10116351816 116 00928512423 72633370166 01245865221 09011950626
Log(Total Utilities Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00222539972 10225034645 225 01216524447 1425571484619 01829309493 0855112103
Log(Total Utilities Rentable sf) Walk Score 00068649233 10068885409 069 00029812807 1396033046894 23026759291 00227754146
Log(Total Utilities Rentable sf) of Unfurnished Apartments -00006773222 09993229071 -007 00004273761 1401067188346 -15848386198 01152575495
Log(Total Utilities Rentable sf) Average Apt Unit Size -00003442022 0999655857 -003 00003581401 1425120147852 -09610825805 03381384619
Log(Total Utilities Rentable sf) Age 00048795122 10048914364 049 00040600929 1425855030198 12018227897 02314244716
Log(Total Utilities Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -01198355423 08870663096 -1129 00742421382 1413320388001 -16141176043 01087323819
Log(MampR rentable sf) Intercept -09030689887 04053238148 -5947 0437858541 1384008312652 -20624674504 00410332652
Log(MampR rentable sf) Green Certified (1=yes 0=no)[Yes] 00937424436 10982768413 983 00639155521 1376081716673 14666609392 01447499128
Log(MampR rentable sf) Gym (1=yes 0=no)[Yes] 00037664885 10037735907 038 01036113865 1396450691334 00363520715 09710535435
Log(MampR rentable sf) Pool (1=yes 0=no)[Yes] 01319613595 11410642271 1411 00887446725 719561267791 14869778183 0141389644
Log(MampR rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00521515872 09491849716 -508 01197720975 1428478988157 -04354235112 06639122497
Log(MampR rentable sf) Walk Score 00110131704 10110740386 111 00029197236 1385662208531 37719907631 00002391344
Log(MampR rentable sf) of Unfurnished Apartments -00008849955 09991153959 -009 00004219429 1410140957414 -20974297602 0037740228
Log(MampR rentable sf) Average Apt Unit Size 00000594506 10000594524 001 0000353075 1429981472006 01683796031 08665225748
Log(MampR rentable sf) Age 0007624822 1007653965 077 00039990018 142990029884 19066812998 00585678315
Log(MampR rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00598131349 10616381449 616 00727173027 1406732379184 08225433659 04121598071
Log(Subtotal Maintenance rentable sf) Intercept -07997344997 04494482769 -5506 0489167182 1380935604874 -16348899298 01043496414
Log(Subtotal Maintenance rentable sf) Green Certified (1=yes 0=no)[Yes] 01180969773 11253532398 1254 00707986514 1348907221481 16680681771 00976219515
Log(Subtotal Maintenance rentable sf) Gym (1=yes 0=no)[Yes] 00409351965 10417845921 418 01148796072 1378640116803 03563312718 07221372278
Log(Subtotal Maintenance rentable sf) Pool (1=yes 0=no)[Yes] 01515780559 11636691295 1637 0100780712 617547240206 15040383505 01376688864
Log(Subtotal Maintenance rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -0078076377 09248937833 -751 01331885868 1426567369893 -05862092154 05586613077
Log(Subtotal Maintenance rentable sf) Walk Score 0011889233 10119601909 120 00032614069 1377504918879 36454307183 00003773801
Log(Subtotal Maintenance rentable sf) of Unfurnished Apartments -00008153416 09991849907 -008 00004682078 1398534995511 -17414095506 00838107083
Log(Subtotal Maintenance rentable sf) Average Apt Unit Size 00005083484 10005084776 005 00003930253 1428434249161 12934242295 01979520949
Log(Subtotal Maintenance rentable sf) Age 00104106727 10104650523 105 00044515054 1428449267664 23386858733 00207383998
Log(Subtotal Maintenance rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 02440298206 12763823925 2764 0081177414 1402563601749 30061295196 00031359748
Log(Property Insurance rentable sf) Intercept -08916874806 04099633635 -5900 04516384713 1429624291993 -19743390727 00502702101
Log(Property Insurance rentable sf) Green Certified (1=yes 0=no)[Yes] 01239058141 11319092561 1319 0062692592 1281678143933 19764027959 00502564371
Log(Property Insurance rentable sf) Gym (1=yes 0=no)[Yes] -0003522638 09964835593 -035 01024969537 1314939748594 -0034368221 09726356404
Log(Property Insurance rentable sf) Pool (1=yes 0=no)[Yes] 00227423743 10230029538 230 01040308572 1125700947624 02186118131 08273482928
Log(Property Insurance rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00155809876 10157030041 157 01206677853 1368483458399 01291230096 08974498986
Log(Property Insurance rentable sf) Walk Score 00072977866 10073244804 073 00030353828 1428602075435 24042392705 00174877086
Log(Property Insurance rentable sf) of Unfurnished Apartments -00010061941 09989943119 -010 0000420017 1337858380697 -23956034086 00179774093
Log(Property Insurance rentable sf) Average Apt Unit Size -00006330482 09993671521 -006 00003514502 1338864329416 -18012458048 0073914725
Log(Property Insurance rentable sf) Age 00009661099 10009665767 010 00039921418 1338497494964 02420028921 08091483095
Log(Property Insurance rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -00520208103 09493091112 -507 00749301111 1411273861679 -06942577501 04886618561
Log(Total All Expenses Rentable sf) Intercept 17410862845 57035357214 47035 03946731547 141889623796 44114636723 00000201648
Log(Total All Expenses Rentable sf) Green Certified (1=yes 0=no)[Yes] 01231722438 11310792255 1311 00565275641 1341244163534 21789766772 00310802733
Log(Total All Expenses Rentable sf) Gym (1=yes 0=no)[Yes] 00096244971 10096709615 097 00919378962 1370603130567 01046847658 09167789899
Log(Total All Expenses Rentable sf) Pool (1=yes 0=no)[Yes] 01610294116 11747195186 1747 00846545666 801516751987 19021940341 00607378863
Log(Total All Expenses Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00361842114 09644626121 -355 01071504659 1418739239709 -03376953252 07360919324
Log(Total All Expenses Rentable sf) Walk Score 00087371658 10087754463 088 00026426023 1411809488418 33062734678 00011989895
Log(Total All Expenses Rentable sf) of Unfurnished Apartments -00008720665 09991283137 -009 00003752966 1389800988186 -23236728617 00215934791
Log(Total All Expenses Rentable sf) Average Apt Unit Size -0000155413 0999844599 -002 00003145108 1409449329598 -0494142052 06219751067
Log(Total All Expenses Rentable sf) Age 00015666155 10015678433 016 00035695206 1412387206124 04388868073 06614142124
Log(Total All Expenses Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00157918953 10159172462 159 00657593447 1424551160559 02401467861 08105616925
Log(NOI Rentable sf) Intercept 27416093787 155119295878 145119 049686036 1426328429735 55178669889 0000000157
Log(NOI Rentable sf) Green Certified (1=yes 0=no)[Yes] 00932241108 10977077159 977 00701671113 1292740226257 13286012361 01863200879
Log(NOI Rentable sf) Gym (1=yes 0=no)[Yes] 0111280688 11177085902 1177 0114413579 13320261997 09726178396 03325061802
Log(NOI Rentable sf) Pool (1=yes 0=no)[Yes] -00608871507 0940929417 -591 01107002034 838263437204 -05500184174 05837693269
Log(NOI Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -01393113526 08699571229 -1300 01340931949 1397855428856 -10389144106 03006382455
Log(NOI Rentable sf) Walk Score 00045000262 10045101666 045 0003337636 1423581725818 13482675372 01797136327
Log(NOI Rentable sf) of Unfurnished Apartments -00007116645 09992885887 -007 00004679272 1358400867851 -15208872073 01306124688
Log(NOI Rentable sf) Average Apt Unit Size -00001937801 09998062387 -002 00003921685 1372175013367 -04941245389 06220083144
Log(NOI Rentable sf) Age 00034607088 1003466704 035 00044548378 1376438770548 07768428318 04385844885
Log(NOI Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00488697769 10500835966 501 00828565286 1429949688826 05898120243 0556247504
Concessions rentable sf Intercept 0091580439 10959049266 959 12772069558 1418541020247 00717036801 09429387231
Concessions rentable sf Green Certified (1=yes 0=no)[Yes] 01110697527 11174728508 1175 01814813765 1293641668833 06120173584 05416004511
Concessions rentable sf Gym (1=yes 0=no)[Yes] -05094051331 06008529 -3991 02955403985 1336296409402 -17236395961 00870857294
Concessions rentable sf Pool (1=yes 0=no)[Yes] -00886152984 09151975838 -848 02791864929 69298361986 -03174053928 07518903943
Concessions rentable sf Outdoor Common Area (1=yes 0=no)[Yes] 04576291372 15803228114 5803 03455726285 1408379747117 13242632646 01875606951
Concessions rentable sf Walk Score 00120688741 10121419968 121 00085630896 1409791646097 14094064916 01609170757
Concessions rentable sf of Unfurnished Apartments -00007045588 09992956894 -007 00012075862 1364744404696 -05834438741 05605574922
Concessions rentable sf Average Apt Unit Size -00003193903 09996806607 -003 00010135961 1389703034326 -03151061148 07531537379
Concessions rentable sf Age 00130223218 10131074815 131 00115086772 139464867267 11315220311 02597773256
Concessions rentable sf Building Mix (0=multifamily 1 = mixed-use)[Mixed] -03719888249 06893619462 -3106 02129597676 1426034459287 -17467563435 00828326573
Y Term Practical Interpretation increasedecrease Probgt|t| Total Rents Collected Subtotal Maintenance Property Insurance Total Expenses
Log(Total Rents Collected rentable sf) Green Certified (1=yes 0=no)[Yes] 1047
Hopkins Erin Hopkins Erincant provide a confidencd interval for it
009 130837635934 13311489362 01847683215 67633617021
Log(Subtotal Maintenance rentable sf) Green Certified (1=yes 0=no)[Yes] 1254 010 267662568114 08839769656 0489370035 133484365708
Log(Property Insurance rentable sf) Green Certified (1=yes 0=no)[Yes] 1319 005 44887430941 07758149459 02417429373 41261056301
Log(Total All Expenses Rentable sf) Green Certified (1=yes 0=no)[Yes] 1311 003 103066299601 12390720963 00474343371 5067818194
206907297628 2385711159 02072356932 9194606526
318766961061 22633758919 04452208547 128154919371
92461669878 09545425866 01280485733 38832017239
143925847783 15966970999 02187893202 54018796992
176714125561 02006495648 02876780533 58992020575
232897515382 0726170332 00787094673 69517596041
Non-green sf average Financial Green Impact sf Financial green impact differencesf Green impactapt Green impactproperty 51780910259 05203453537 00494304264 22609306646
178353784788 17547710996 02048626598 95961490345
Total Rents Collected sf 1047 2356 2603 $ 247 $ 2189 $ 551683 113769814112 12206875575 03432049607 118156743193
Subtotal Maintenance sf 1254 160 180 $ 020 $ 178 $ 44843 301239240258 10561596849 0204970258 110903994641
Property Insurance sf 1319 036 041 $ 005 $ 42 $ 10601 918584487 08376649832 00914663991 4146546939
Total Expenses sf 1311 852 963 $ 112 $ 990 $ 249535 265183769576 19294929362 03500602344 108447158033
226055903548 13557897255 03988791741 10971207244
334894587007 17970717884 05122599181 124640467569
5542518821 31394328066 04875650977 200668786372
112655732059 13445692884 02031297086 43995867235
129139526152 1168069688 00518980213 4651511283
Avg Apt Size Avg of Units 151098478261 13975 02004130435 51873478261
192155046737 21015937064 02616549091 8357602264
887 252 514840434082 52766375656 02375463267 174375582672
81421971535 06694487849 00899424521 2748686222
30246817244 21594341279 03308639536 97277207077
488523197409 27727612187 0646599696 130752346177
318750561687 38903340576 03852711795 142409683793
310384048163 43119745565 03335824966 138846874251
Green Certification Impacts 48578215663 0350218077 03095574205 23695139998
Dependent Variable Per Square Foot Per Apartment Per Property 192237574111 13374121765 02053242615 84027476689
Total Rents Collected $ 247 $ 2189 $ 551683 62979912788 05343191729 00816289996 45390243161
Subtotal Maintenance $ 020 $ 178 $ 44843 148378959661 14651715909 02004049722 80900580942
Property Insurance $ 005 $ 42 $ 10601 196798863889 11267176542 02499920663 90266351433
Total Expenses $ 112 $ 990 $ 249535 281508617823 09686995581 01118170881 119863342059
58584849751 0106864586 04187933949 44180073736
126756167712 1265684516 02796423029 87538414144
176550549412 24957340254 02343899179 88904473415
252421786235 28063734042 03142238564 133776179357
191875932907 13637043757 03440324697 987034902
159508092934 13109374847 02091697013 98967206196
342739845467 09614092295 03929892961 129755936769
192510355167 32804720611 01743191858 134560085596
257829360401 13666691797 01527100011 56329812754
358622391559 14251973427 03437553732 101098436889
217744157919 24046486586 01864745418 68711016642
222112557003 22022148788 07879755849 97807110765
202535763689 04548110217 10003436751 127886698915
155879815194 23816051158 04816227091 119033557201
11066078843 23413202706 06413902496 81812176347
151924709838 18873401649 05711000232 105403544539
163604010853 16052949068 02714509557 82030431823
133974400047 11018949984 03560839935 59096477943
133528448829 13647819036 02538331588 66159357367
187400008959 16889788117 030870974 115752907975
155246293804 18308314258 03852380906 116657595614
34082816218 05447090935 09838411173 13641308574
201220131342 11192465065 03188344246 93786154242
139108532616 13313944086 03887737775 69698295902
191656858207 15717927807 06002115982 119380046581
200921599083 12597596226 03267106334 82474085087
57536742874 00453219212 00300766262 10569757217
120548294116 11607892527 03275736725 74435143659
123188534664 1404028789 03510968138 78762080781
59543029729 0899713372 01652374748 28143456117
144215639215 19193238703 02899837711 67370054173
340046684831 19619729415 04325060698 120608464163
208244777176 28183367899 037 73104355304
234349752613 19432301154 0351134881 107484594815
136370903402 17029933791 01989576534 50899930579
149968383478 14209793679 02735642323 63813718869
81145819519 0920766851 00474564037 30674168785
226307446224 12529424404 02036192613 69235920453
132787305462 08047482453 01232346659 41808605432
251519090044 21798380428 0376480317 80396623551
492269138212 12196979039 02981674812 128316943664
107177195916 08016374211 0113808252 40618650625
128238528886 10751217142 01843492552 6476830365
57582611557 11908427448 0874334536 134004066235
43835651097 34822540694 03904989384 146763800425
205787355386 1429219053 02624404931 5321754079
463148430769 07709353846 06150738462 101617384615
377949548611 28670972222 08296944444 109743576389
360087564176 03501711352 18551055334 110041072447
18371979614 18232783153 07267294459 61184870906
678035276363 13443501226 10431616676 167533484248
56073359244 10138647576 01591318768 51440832304
189431314891 05101557395 03677787459 41010945328
383550342095 23244425576 04086557393 98151764619
115544349685 03310482653 037 40344851625
7552318246 0955023726 01241945851 24368780848
133083101881 19451300341 00938801919 48731378614
122308363087 13760780005 01439989014 45100624828
84908269322 10857071617 01155797799 36082570734
263116048067 10733627163 041902582 60372732395
76183752731 09621126305 01069925907 26170373239
172494454001 11781600332 03919686814 59016193131
342076422068 22741368431 03165622465 73557085549
215534567901 1485497076 02210396361 49118778428
314593058927 23798916958 02751353803 121998559501
586535191691 21029046354 02109026171 91979074439
138093310078 14595490221 02142269839 44286283792
227203645682 04584630891 05737147639 93344680527
572754455737 17713614269 01642228739 92545561671
60603870458 04541110154 01180884676 15902125521
358781017266 33847643857 06854022643 139200146946
342079216629 24477703832 0463059603 67166143833
651201231187 51019950176 12529595849 222094150831
369798669702 21700816928 0444474205 101410502507
421838575952 28823013788 05443272608 151399739597
626095189209 20826275416 04947814184 184651096472
214882899762 25034709712 06359683889 109534721722
274037120739 26718517094 037 67504928595
252667703737 25588590114 05379535858 109041874345
59253832495 01099622961 04620367393 19262874847
150862851538 18053109961 07398729558 71488607075
111196959019 00928417366 037 09427894164
667360269858 07921160191 02989609494 104670639024
2356 160 036 852
Log(Vacancies amp Rent Loss rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified -00318 00916 -00313 07289
Fitness Center 01008 01480 01060 04969
Pool 01126 01133 01192 03253
Outdoor Common Area 02673 01691 03064 01162
Walk Score 00102 00041 00102 00140
of Unfurnished Apartments -00003 00006 -00003 06769
Average Apt Unit Size -00003 00005 -00003 06067
Age -00026 00056 -00026 06428
Building Mix 00099 01008 00099 09219
Note R2 = 645
Log(Total Rents Collected rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00996 00591 01047 00941
Fitness Center 00684 00962 00708 04783
Pool 00089 00916 00089 09231
Outdoor Common Area -00837 01126 -00803 04587
Walk Score 00065 00028 00065 00218
of Unfurnished Apartments -00009 00004 -00009 00290
Average Apt Unit Size -00002 00003 -00002 05298
Age 00008 00037 00008 08237
Building Mix 00043 00695 00043 09507
Note R2 = 3318
Log(Total Actual Collections rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00944 00579 00991 01052
Fitness Center 00739 00942 00767 04343
Pool 00130 00886 00131 08834
Outdoor Common Area -00794 01102 -00764 04721
Walk Score 00066 00027 00066 00176
of Unfurnished Apartments -00008 00004 -00008 00322
Average Apt Unit Size -00002 00003 -00002 05034
Age 00015 00037 00015 06799
Building Mix 00249 00678 00252 07140
Note R2 = 3219
Log(Management Fee rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00199 00593 00201 07382
Fitness Center -00082 00958 -00082 09319
Pool 00174 00772 00176 08236
Outdoor Common Area 00153 01104 00154 08898
Walk Score 00070 00028 00071 00139
of Unfurnished Apartments -00014 00004 -00014 00007
Average Apt Unit Size -00005 00003 -00005 01317
Age 00014 00037 00014 07146
Building Mix -00674 00657 -00652 03066
Note R2 = 1697
Log(Total Utilities Rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00873 00646 00912 01786
Fitness Center 01176 01048 01248 02639
Pool 00116 00929 00116 09012
Outdoor Common Area 00223 01217 00225 08551
Walk Score 00069 00030 00069 00228
of Unfurnished Apartments -00007 00004 -00007 01153
Average Apt Unit Size -00003 00004 -00003 03381
Age 00049 00041 00049 02314
Building Mix -01198 00742 -01129 01087
Note R2 = 2171
Log(MampR rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00937 00639 00983 01447
Fitness Center 00038 01036 00038 09711
Pool 01320 00887 01411 01414
Outdoor Common Area -00522 01198 -00508 06639
Walk Score 00110 00029 00111 00002
of Unfurnished Apartments -00009 00004 -00009 00377
Average Apt Unit Size 00001 00004 00001 08665
Age 00076 00040 00077 00586
Building Mix 00598 00727 00616 04122
Note R2 = 2620
Log(Subtotal Maintenance rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 01181 00708 01254 00976
Fitness Center 00409 01149 00418 07221
Pool 01516 01008 01637 01377
Outdoor Common Area -00781 01332 -00751 05587
Walk Score 00119 00033 00120 00004
of Unfurnished Apartments -00008 00005 -00008 00838
Average Apt Unit Size 00005 00004 00005 01980
Age 00104 00045 00105 00207
Building Mix 02440 00812 02764 00031
Note R2 = 3218
Log(Property Insurance rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 01239 00627 01319 00503
Fitness Center -00035 01025 -00035 09726
Pool 00227 01040 00230 08273
Outdoor Common Area 00156 01207 00157 08974
Walk Score 00073 00030 00073 00175
of Unfurnished Apartments -00010 00004 -00010 00180
Average Apt Unit Size -00006 00004 -00006 00739
Age 00010 00040 00010 08091
Building Mix -00520 00749 -00507 04887
Note R2 = 3902
Log(Total All Expenses Rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 01232 00565 01311 00311
Fitness Center 00096 00919 00097 09168
Pool 01610 00847 01747 00607
Outdoor Common Area -00362 01072 -00355 07361
Walk Score 00087 00026 00088 00012
of Unfurnished Apartments -00009 00004 -00009 00216
Average Apt Unit Size -00002 00003 -00002 06220
Age 00016 00036 00016 06614
Building Mix 00158 00658 00159 08106
Note R2 = 2943
Log(NOI Rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00932 00702 00977 01863
Fitness Center 01113 01144 01177 03325
Pool -00609 01107 -00591 05838
Outdoor Common Area -01393 01341 -01300 03006
Walk Score 00045 00033 00045 01797
of Unfurnished Apartments -00007 00005 -00007 01306
Average Apt Unit Size -00002 00004 -00002 06220
Age 00035 00045 00035 04386
Building Mix 00489 00829 00501 05562
Note R2 = 3669
Concessions rentable sf
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 01111 01815 01175 05416
Fitness Center -05094 02955 -03991 00871
Pool -00886 02792 -00848 07519
Outdoor Common Area 04576 03456 05803 01876
Walk Score 00121 00086 00121 01609
of Unfurnished Apartments -00007 00012 -00007 05606
Average Apt Unit Size -00003 00010 -00003 07532
Age 00130 00115 00131 02598
Building Mix -03720 02130 -03106 00828
Note R2 = 2402
Y Term ~Bias Estimate EXP estimate Practical Interpretation increasedecrease Std Error DFDen t Ratio Probgt|t| Estimate Std Error Practical Interpretation Significance
Log(Vacancies amp Rent Loss rentable sf) Intercept 00893029328 10934118365 934 06116337119 1083785495375 01460072116 08841869197 Green Cert
Log(Vacancies amp Rent Loss rentable sf) Green Certified (1=yes 0=no)[Yes] -0031825668 09686754385 -313 009164153 139931853592 -03472843369 07288994904 Gym
Log(Vacancies amp Rent Loss rentable sf) Gym (1=yes 0=no)[Yes] 01007730854 11060256399 1060 01479591517 1412043780621 0681087207 0496931725
Log(Vacancies amp Rent Loss rentable sf) Pool (1=yes 0=no)[Yes] 01125884395 11191712315 1192 0113345701 506840641957 09933190097 032527325
Log(Vacancies amp Rent Loss rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 02672618233 13063824429 3064 01690835398 1429144230275 15806495624 01161688791
Log(Vacancies amp Rent Loss rentable sf) Walk Score 00101642302 10102160615 102 00040763935 1219632686439 24934369735 00139912712
Log(Vacancies amp Rent Loss rentable sf) of Unfurnished Apartments -0000250981 09997490505 -003 00006011213 142449410245 -04175214322 06769256723
Log(Vacancies amp Rent Loss rentable sf) Average Apt Unit Size -00002575258 09997425074 -003 00004990119 1315989429881 -05160713681 06066705884
Log(Vacancies amp Rent Loss rentable sf) Age -00026152008 09973882158 -026 00056263988 1391583522195 -04648090107 06427946925
Log(Vacancies amp Rent Loss rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00099001013 10099492694 099 0100821633 1384002310718 00981942166 09219201454
Log(Total Rents Collected rentable sf) Intercept 30195696974 204824761253 194825 04164909532 1420770663705 72500246992 0
Log(Total Rents Collected rentable sf) Green Certified (1=yes 0=no)[Yes] 00996165255 11047471944 1047
Hopkins Erin Hopkins Erincant provide a confidencd interval for it
00590542761 1286416575023 16868638818 0094053065 0099617 00590542761 1047
Log(Total Rents Collected rentable sf) Gym (1=yes 0=no)[Yes] 00684081888 10708023088 708 0096210834 1330244953516 07110237581 04783143732
Log(Total Rents Collected rentable sf) Pool (1=yes 0=no)[Yes] 00088712036 10089106694 089 00916333982 708572236354 00968119025 09231490817
Log(Total Rents Collected rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00836597449 09197441505 -803 01126005752 1404546011941 -07429779537 04587359136
Log(Total Rents Collected rentable sf) Walk Score 0006479206 10065002414 065 0002794287 1413201347208 23187331419 00218436949
Log(Total Rents Collected rentable sf) of Unfurnished Apartments -00008678845 0999132492 -009 00003932429 1359586026848 -22069932213 00289920945 variance components to talk about how much of the total error that is attribuatle to city
Log(Total Rents Collected rentable sf) Average Apt Unit Size -00002078918 09997921298 -002 00003300088 1382568544162 -06299582685 05297616269
Log(Total Rents Collected rentable sf) Age 00008364704 10008368204 008 00037477419 1387794745176 02231931757 08237133506
Log(Total Rents Collected rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00042999624 10043092206 043 0069466499 142786243042 00618998008 09507291881
Log(Total Actual Collections rentable sf) Intercept 30681072891 215011686418 205012 04070110501 1415072794017 75381424868 0
Log(Total Actual Collections rentable sf) Green Certified (1=yes 0=no)[Yes] 00944491888 10990533175 991 00578900924 1291837028308 16315259643 01052148631
Log(Total Actual Collections rentable sf) Gym (1=yes 0=no)[Yes] 00739127176 10767128233 767 0094247393 1335821297113 07842415071 04342868782
Log(Total Actual Collections rentable sf) Pool (1=yes 0=no)[Yes] 00130418887 10131273051 131 00885804441 654593026021 01472321442 08834013324
Log(Total Actual Collections rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00794248992 0923647384 -764 01101507414 1410305976559 -07210564195 04720684016
Log(Total Actual Collections rentable sf) Walk Score 00065530115 10065745295 066 00027272037 14047408887 24028316857 00175745575
Log(Total Actual Collections rentable sf) of Unfurnished Apartments -0000833078 09991672689 -008 00003850262 1365168778586 -21636916411 00322285543
Log(Total Actual Collections rentable sf) Average Apt Unit Size -00002169447 09997830788 -002 00003233576 1393662972101 -06709126047 05033865944
Log(Total Actual Collections rentable sf) Age 00015178151 10015189676 015 0003670824 1398532082324 04134807595 06798877496
Log(Total Actual Collections rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00249154485 10252284322 252 0067842812 1423468871242 03672525904 07139760316
Log(Management Fee rentable sf) Intercept -02128803278 08082528568 -1917 04254329778 585619088893 -0500385111 06186792644
Log(Management Fee rentable sf) Green Certified (1=yes 0=no)[Yes] 0019865513 10200641454 201 00593086525 1354977267554 03349513461 07381797603
Log(Management Fee rentable sf) Gym (1=yes 0=no)[Yes] -00082052627 09918283086 -082 00958032958 1386068833723 -00856469772 09318706455
Log(Management Fee rentable sf) Pool (1=yes 0=no)[Yes] 00174275629 10175803089 176 00771880661 202180965349 02257805358 08236388274
Log(Management Fee rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00153191452 10154370848 154 01103651216 1423896402644 01388042255 08898009734
Log(Management Fee rentable sf) Walk Score 00070459229 10070708039 071 00028008303 805559990921 25156550566 0013868745
Log(Management Fee rentable sf) of Unfurnished Apartments -0001358177 09986427449 -014 00003916726 1421224837061 -34676335479 00006950146
Log(Management Fee rentable sf) Average Apt Unit Size -00005130214 09994871101 -005 00003375961 1007585612206 -15196307445 0131735624
Log(Management Fee rentable sf) Age 00013613923 10013623194 014 00037151697 1277713043957 03664414822 07146417588
Log(Management Fee rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -00674463479 09347778721 -652 00657081953 1299283630266 -10264525997 03065854809
Log(Total Utilities Rentable sf) Intercept -03748562337 06873880949 -3126 04464274077 1402143832266 -08396801522 04025171642
Log(Total Utilities Rentable sf) Green Certified (1=yes 0=no)[Yes] 00873163337 10912418217 912 0064576715 1358457024729 13521334071 01785794114
Log(Total Utilities Rentable sf) Gym (1=yes 0=no)[Yes] 01175979311 11247917766 1248 01048349264 1384172144229 11217438221 02639135776
Log(Total Utilities Rentable sf) Pool (1=yes 0=no)[Yes] 00115680134 10116351816 116 00928512423 72633370166 01245865221 09011950626
Log(Total Utilities Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00222539972 10225034645 225 01216524447 1425571484619 01829309493 0855112103
Log(Total Utilities Rentable sf) Walk Score 00068649233 10068885409 069 00029812807 1396033046894 23026759291 00227754146
Log(Total Utilities Rentable sf) of Unfurnished Apartments -00006773222 09993229071 -007 00004273761 1401067188346 -15848386198 01152575495
Log(Total Utilities Rentable sf) Average Apt Unit Size -00003442022 0999655857 -003 00003581401 1425120147852 -09610825805 03381384619
Log(Total Utilities Rentable sf) Age 00048795122 10048914364 049 00040600929 1425855030198 12018227897 02314244716
Log(Total Utilities Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -01198355423 08870663096 -1129 00742421382 1413320388001 -16141176043 01087323819
Log(MampR rentable sf) Intercept -09030689887 04053238148 -5947 0437858541 1384008312652 -20624674504 00410332652
Log(MampR rentable sf) Green Certified (1=yes 0=no)[Yes] 00937424436 10982768413 983 00639155521 1376081716673 14666609392 01447499128
Log(MampR rentable sf) Gym (1=yes 0=no)[Yes] 00037664885 10037735907 038 01036113865 1396450691334 00363520715 09710535435
Log(MampR rentable sf) Pool (1=yes 0=no)[Yes] 01319613595 11410642271 1411 00887446725 719561267791 14869778183 0141389644
Log(MampR rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00521515872 09491849716 -508 01197720975 1428478988157 -04354235112 06639122497
Log(MampR rentable sf) Walk Score 00110131704 10110740386 111 00029197236 1385662208531 37719907631 00002391344
Log(MampR rentable sf) of Unfurnished Apartments -00008849955 09991153959 -009 00004219429 1410140957414 -20974297602 0037740228
Log(MampR rentable sf) Average Apt Unit Size 00000594506 10000594524 001 0000353075 1429981472006 01683796031 08665225748
Log(MampR rentable sf) Age 0007624822 1007653965 077 00039990018 142990029884 19066812998 00585678315
Log(MampR rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00598131349 10616381449 616 00727173027 1406732379184 08225433659 04121598071
Log(Subtotal Maintenance rentable sf) Intercept -07997344997 04494482769 -5506 0489167182 1380935604874 -16348899298 01043496414
Log(Subtotal Maintenance rentable sf) Green Certified (1=yes 0=no)[Yes] 01180969773 11253532398 1254 00707986514 1348907221481 16680681771 00976219515
Log(Subtotal Maintenance rentable sf) Gym (1=yes 0=no)[Yes] 00409351965 10417845921 418 01148796072 1378640116803 03563312718 07221372278
Log(Subtotal Maintenance rentable sf) Pool (1=yes 0=no)[Yes] 01515780559 11636691295 1637 0100780712 617547240206 15040383505 01376688864
Log(Subtotal Maintenance rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -0078076377 09248937833 -751 01331885868 1426567369893 -05862092154 05586613077
Log(Subtotal Maintenance rentable sf) Walk Score 0011889233 10119601909 120 00032614069 1377504918879 36454307183 00003773801
Log(Subtotal Maintenance rentable sf) of Unfurnished Apartments -00008153416 09991849907 -008 00004682078 1398534995511 -17414095506 00838107083
Log(Subtotal Maintenance rentable sf) Average Apt Unit Size 00005083484 10005084776 005 00003930253 1428434249161 12934242295 01979520949
Log(Subtotal Maintenance rentable sf) Age 00104106727 10104650523 105 00044515054 1428449267664 23386858733 00207383998
Log(Subtotal Maintenance rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 02440298206 12763823925 2764 0081177414 1402563601749 30061295196 00031359748
Log(Property Insurance rentable sf) Intercept -08916874806 04099633635 -5900 04516384713 1429624291993 -19743390727 00502702101
Log(Property Insurance rentable sf) Green Certified (1=yes 0=no)[Yes] 01239058141 11319092561 1319 0062692592 1281678143933 19764027959 00502564371
Log(Property Insurance rentable sf) Gym (1=yes 0=no)[Yes] -0003522638 09964835593 -035 01024969537 1314939748594 -0034368221 09726356404
Log(Property Insurance rentable sf) Pool (1=yes 0=no)[Yes] 00227423743 10230029538 230 01040308572 1125700947624 02186118131 08273482928
Log(Property Insurance rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00155809876 10157030041 157 01206677853 1368483458399 01291230096 08974498986
Log(Property Insurance rentable sf) Walk Score 00072977866 10073244804 073 00030353828 1428602075435 24042392705 00174877086
Log(Property Insurance rentable sf) of Unfurnished Apartments -00010061941 09989943119 -010 0000420017 1337858380697 -23956034086 00179774093
Log(Property Insurance rentable sf) Average Apt Unit Size -00006330482 09993671521 -006 00003514502 1338864329416 -18012458048 0073914725
Log(Property Insurance rentable sf) Age 00009661099 10009665767 010 00039921418 1338497494964 02420028921 08091483095
Log(Property Insurance rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -00520208103 09493091112 -507 00749301111 1411273861679 -06942577501 04886618561
Log(Total All Expenses Rentable sf) Intercept 17410862845 57035357214 47035 03946731547 141889623796 44114636723 00000201648
Log(Total All Expenses Rentable sf) Green Certified (1=yes 0=no)[Yes] 01231722438 11310792255 1311 00565275641 1341244163534 21789766772 00310802733
Log(Total All Expenses Rentable sf) Gym (1=yes 0=no)[Yes] 00096244971 10096709615 097 00919378962 1370603130567 01046847658 09167789899
Log(Total All Expenses Rentable sf) Pool (1=yes 0=no)[Yes] 01610294116 11747195186 1747 00846545666 801516751987 19021940341 00607378863
Log(Total All Expenses Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00361842114 09644626121 -355 01071504659 1418739239709 -03376953252 07360919324
Log(Total All Expenses Rentable sf) Walk Score 00087371658 10087754463 088 00026426023 1411809488418 33062734678 00011989895
Log(Total All Expenses Rentable sf) of Unfurnished Apartments -00008720665 09991283137 -009 00003752966 1389800988186 -23236728617 00215934791
Log(Total All Expenses Rentable sf) Average Apt Unit Size -0000155413 0999844599 -002 00003145108 1409449329598 -0494142052 06219751067
Log(Total All Expenses Rentable sf) Age 00015666155 10015678433 016 00035695206 1412387206124 04388868073 06614142124
Log(Total All Expenses Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00157918953 10159172462 159 00657593447 1424551160559 02401467861 08105616925
Log(NOI Rentable sf) Intercept 27416093787 155119295878 145119 049686036 1426328429735 55178669889 0000000157
Log(NOI Rentable sf) Green Certified (1=yes 0=no)[Yes] 00932241108 10977077159 977 00701671113 1292740226257 13286012361 01863200879
Log(NOI Rentable sf) Gym (1=yes 0=no)[Yes] 0111280688 11177085902 1177 0114413579 13320261997 09726178396 03325061802
Log(NOI Rentable sf) Pool (1=yes 0=no)[Yes] -00608871507 0940929417 -591 01107002034 838263437204 -05500184174 05837693269
Log(NOI Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -01393113526 08699571229 -1300 01340931949 1397855428856 -10389144106 03006382455
Log(NOI Rentable sf) Walk Score 00045000262 10045101666 045 0003337636 1423581725818 13482675372 01797136327
Log(NOI Rentable sf) of Unfurnished Apartments -00007116645 09992885887 -007 00004679272 1358400867851 -15208872073 01306124688
Log(NOI Rentable sf) Average Apt Unit Size -00001937801 09998062387 -002 00003921685 1372175013367 -04941245389 06220083144
Log(NOI Rentable sf) Age 00034607088 1003466704 035 00044548378 1376438770548 07768428318 04385844885
Log(NOI Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00488697769 10500835966 501 00828565286 1429949688826 05898120243 0556247504
Concessions rentable sf Intercept 0091580439 10959049266 959 12772069558 1418541020247 00717036801 09429387231
Concessions rentable sf Green Certified (1=yes 0=no)[Yes] 01110697527 11174728508 1175 01814813765 1293641668833 06120173584 05416004511
Concessions rentable sf Gym (1=yes 0=no)[Yes] -05094051331 06008529 -3991 02955403985 1336296409402 -17236395961 00870857294
Concessions rentable sf Pool (1=yes 0=no)[Yes] -00886152984 09151975838 -848 02791864929 69298361986 -03174053928 07518903943
Concessions rentable sf Outdoor Common Area (1=yes 0=no)[Yes] 04576291372 15803228114 5803 03455726285 1408379747117 13242632646 01875606951
Concessions rentable sf Walk Score 00120688741 10121419968 121 00085630896 1409791646097 14094064916 01609170757
Concessions rentable sf of Unfurnished Apartments -00007045588 09992956894 -007 00012075862 1364744404696 -05834438741 05605574922
Concessions rentable sf Average Apt Unit Size -00003193903 09996806607 -003 00010135961 1389703034326 -03151061148 07531537379
Concessions rentable sf Age 00130223218 10131074815 131 00115086772 139464867267 11315220311 02597773256
Concessions rentable sf Building Mix (0=multifamily 1 = mixed-use)[Mixed] -03719888249 06893619462 -3106 02129597676 1426034459287 -17467563435 00828326573
Page 4: AUGUST 21- 23, 2018 • CLEVELAND, OHIO€¦ · Business Case 2.0: New Research Around High Performing Buildings Thursday 23 rd, 2018 10:30am – 12:00pm

Energy and Default Risk in Commercial Mortgages

4

Paulo IsslerReal Estate amp Financial Markets Lab DirectorUniversity of California Berkeley

5

Acknowledgements Holly Carr (US DOE) Cindy Zhu (US DOE)

Philip Coleman (LBNL) Jeff Deason (LBNL) Tianzhen Hong (LBNL) Paulo Issler (UCB) Paul Mathew (LBNL) Emily McLaughlin (IMT) Baptiste Ravache (LBNL) Kaiyu Sun (LBNL) Nancy Wallace (UCB)

6

The link between energy and CRE mortgages Net Operating Income (NOI) the key financial measure for CRE valuation and mortgage risk Energy cost is one of the largest components of Net Operating Income (NOI)

Energy prices are highly volatile Poor CRE property management can severely impact energy consumption

Current practice does not fully account for these factors in calculation of Net Operating Income (NOI) Usually based on historical average cost data if available Does not account for energy use and price volatility during mortgage term

Key question How much do these factors ldquomove the needlerdquo for NOI and default risk

Energy Use VolumeElectricity kWhkW fuel therms etc

Driven by bldg features operations climate

Energy Use Volatility+- change over mortgage term

Driven by bldg operations weather variation

Energy Price$kWh $kW $therm

Set by rate structure

Energy Price Volatility+- change over mortgage term

Driven by rate structure forward price curves

7

Approach Impact of energy on default rateMortgage Default Rate = f (EUI ElecPriceGap CouponSpread LTV Region more controlshellip)

TREPPLoan Dataset

geocode

Benchmark Disclosure

Dataset

Expanded Benchmark Disclosure

match

Combined TREPP mortgage performance and Benchmarking Disclosure Datasets

ISO ElectricityHH Nat Gas

Datasets

match amp calc

Interest Rate Proxy

Dataset

match amp calc

Empirical analysis combiningbull Mortgage loan data (TREPP) bull Energy use data (Benchmarking disclosure)

8

Default risk and source EUI (cont)

The coefficient estimates for BOTH the Electricity Price Gap and Source EUI are significant at better than the 05 level of statistical significance

bull The higher the Source EUI (the more energy usage per square foot) the higher the likelihood of default

bull The higher the Electricity Price Gap (the larger the difference between the actual and the expected electricity prices since the loan origination) the higher the likelihood of default

Office + Retail ndash Linear probability model

9

Default risk and source EUI

Coefficient Estimate Standard Error

Intercept -040444 018466Log Source EUI 007335 003129

Origination Loan-to-Value Ratio 000258 000096

Coupon Spread to 10 Year Treasury 002188 001565

Electricity Price Gap 000003 000001

Time to Maturity on Balloon -000189 000060

Origination Year Fixed Effects Yes

473 observations R2 = 1052 plt01 plt005 plt001

Office + Retail ndash Linear probability model

10

Default risk and source EUI (cont)

Coefficient estimates are significant and robust for three cohorts all buildings Office + multiuse + retail office only Coefficient estimates for electricity price gap significant for all buildings

office + multiuse + retail Consistent results for linear probability and logistic regression models

11

Analysis using Scaled Source EUI ndash Linear probability model

Ratio of Source EUI to NOI(floor area)

Default risk and source EUI (cont)

Coefficient Estimate Standard Error

Intercept -000538 011067Scaled Source EUI 000183 0000369

Origination Loan-to-Value Ratio 000263 000117

Coupon Spread to 10 Year Treasury 000751 0040

Electricity Price Gap 000003 000001

Time to Maturity on Balloon -000203 000068

Origination Year Fixed Effects Yes

339 observations R2 = 1768 plt01 plt005 plt001

Scaled Source EUI (Office + MU + Retail) ndash Linear probability model

12

What are the impacts on specific loansCollaborate with lenders to 1 Demonstrate impact of energy use and price on specific mortgage loans2 Develop recommendations

Approach Compile info from Appraisals PCAs

other sources Estimate source EUI variations

Simulation and empirical approaches

Compute electricity price gap using forward curves

Compute default risk impact due to source EUI and electricity price gap

13

Case Studies

Denver Office

Denver Hotel

San Francisco Multi-family

San Jose Office Sonoma Office

Denver Office ndash energy use and default riskFacilities Management factors HVAC schedule Thermostat setback Supply air temp control VAV min flow control Economizer controls Lighting controlsLevels good average poor

Occupancy factors Occupant density Occupant schedule Plug load density Plug load controlsLevels goodlow average poorhigh

CaseFacilities mgmtfactors

OccupancyFactors

Source EUI change ()

Default risk change (bp)

1 Good GoodLow -54 -248

2 Good Ave -33 -127

3 Ave Ave - -

4 Good PoorHigh +4 +12

5 Poor GoodLow +64 +158

6 Poor Ave +76 +181

7 Poor PoorHigh +132 +268

15

Denver Office ndash energy price and default risk

16

Case Studies ndash summary of risks impacts

Building Source EUI variation ()

Default rate variation (bp)

Default rate variation relative to TREPP avg ()

Denver Office -54 to +132 -248 to +268 -31 to +34

Sonoma Office -40 to +183 -161 to +331 -20 to +41

San Jose Office -62 to +119 -308 to +249 -39 to +31

Denver Hotel -11 to +17 -37 to +49 -5 to +6

San Francisco Multi-family -20 to +26 -72 to +74 -9 to +9

Wholesale price region Default rate variation (bp) Default rate variation relative to TREPP avg ()

Denver area +159 to +501 +20 to +63

Northern California -49 to +705 -6 to +88

Compare to TREPP average default rate of 800bp

17

Case Studies ndash business impactThese results showing the impact of energy on default risk are clearly meaningful I dont currently consider energy efficiency when making a loan and seeing this makes me think I would want to ask about itrdquo

I would like to apply these findings but would want an easy way to use it A simple score or ratio for energy risk would be good In fact I would be interested to pilot test it

Keith Hanley Silicon Valley Bank

18

Looking Ahead

Looking Ahead ndash our visionTo have energy factors fully and routinely incorporated in commercial mortgage valuation accelerating demand for buildings with lower energy risk

20

Show that energy matters

Develop and pilot

interventions Disseminate

best practices Institutionalize

Analysis of energy impacts

Long term

Case studies on actual mortgage loans

Protocols and tools for lenders and owners

Industry Standards

Scope of current effort

RecommendationsLenders Ask owners to provide info on energy cost range

Account for variations in energy use and energy price Could be done as part of Property Condition Assessment Can reference ASTM standard

Incorporate energy risk factor into underwriting and terms eg Interest rate discount for lower risk

Offer additional loan proceeds for EE investments

Owners Ask lenders to account for energy efficiency when setting mortgage

terms Provide data on energy costs to lender

Historical and anticipated In appraisal andor PCA

21

Thank you

Money Matters Exploring the Financial Impacts of Green Certifications in the Multifamily Rental Sector

Erin A Hopkins PhD CAPS LEED Green AssociateAssistant Professor of Property Management

bull Sample 153 properties from 2 of National Multifamily Housing Councilrsquos 2016 50 Largest Apartment Managers

bull Green-certified 2288 of properties (35 properties)bull Methodology Multiple Regression Analysisbull Controls Location Fitness Center Pool Outdoor Common Area Walk

Score of Unfurnished Apartments Average Apartment Unit Size Age Building Mix

bull Limitations Building class not directly taken into account

Overview of Research

Certifications Represented in Sample

Austin Energy Green Buildingreg (AEGB)

Rating System(3)

ENERGY STARreg

(1)

Florida Green Building Coalition

(FGBC)(1)

GreenPoint Rated(4)

LEEDreg

(16)

National Green Building Standardtrade

(NGBS)(11)

Properties by City

2

4

2 2 21 1

3

1 1 12 2

1 1 1

6

1 1

8

11

4

6

14

3

1

19

3

1 1

7

43

2

9

18

2 2

0

2

4

6

8

10

12

14

16

18

20

Summary Statistics of City Datan=153

Summary Satistics of City Data Green Bldgs Summary Satistics of City Data Non-Green Comparables

Descriptive

97

71

100

31

89

69

93

24

0

20

40

60

80

100

120

Fitness Center Pool Outdoor Common Area Mixed-Use Property

Summary Statistics of Green vs Non-Green Propertiesn = 153

Green Non-Green

Descriptive

73228

866

2011

74

259

894

2003

0

500

1000

1500

2000

2500

Walk Score Average Number of Units Average Apt Unit Size (sf) Age

Summary Statistics of Green vs Non-Green Properties

n = 153

Green Non-Green

Findings

Total Rents Collected1047

Total Maintenance1254

Property Insurance1319

Total Expenses1311

Higher rents and expenses

Financial Impacts of Green

Dependent Variable Per Square Foot Per Apartment Per PropertyTotal Rents Collected 247$ 2189$ 551683$ Subtotal Maintenance 020$ 178$ 44843$ Property Insurance 005$ 42$ 10601$ Total Expenses 112$ 990$ 249535$

Coefficients Standard Errors

Tables

Summary of Green Impacts

Summary Table

Discussion

bull Assume efficient operations will offset the higher rent

bull Philanthropic motivesbull Prestige motivesbull Green buildings tend to be newermore

likely to offer the more sought-after amenities and finishes

bull Tend to be in higher-income areaslikely have higher rents

Different motivations for paying higher rent may be in

play

Discussion

Higher Operating Expenses a Surprise

Does not align with much of the existing researchhellipbut no research on effects of green certification on total operating expenses within multifamily rental sector

Many of the certifications represented in this study focus on the design phase of the property vs the operations and maintenance phase

And although promotion of sustainability is on the rise in the multifamily housing sector staff may remain unfamiliar with the unique operations and maintenance of green

buildings

Final Thoughts

Apartment homes represent $13 trillion to the US economy and 5 million new rental households are expected by 2023 (National Multifamily Housing Council 2015)

Upfront capital constraints regulatory issues knowledge limitations and marketing concerns may diminish the attractiveness of multifamily rental green building

certification if not properly managed

Most studies focus on office sector andor strictly rents or property value

This study begins to look at the multifamily rental sector and offer a more comprehensive analysis

Further research is needed with larger datasets to understand effects of green certification on income statement components in the apartment industry as NOI

ultimately determines property market valueOptimism that this study can be the impetus for further research contributions on the

financial environmental and resident satisfaction impacts of green practices and certifications on the multifamily rental sector

Contact informationErin A Hopkinserinz1vtedu

Acknowledgementsbull Todd Feist Sustainability Program Manager at The Institute of

Real Estate Management (IREMreg) for his assistance with this research project

bull Yardi and IREMreg for the grant awarded to support this researchbull The two property management companies for sharing their data

BUILDING PERFORMANCE

UNLOCKINGVALUE

New DOE-driven Research Around High Performing Buildings

AUGUST 23 2018

ANDREW WHITEASSOCIATE MANAGERawhiteretechadvisorscom

2015-2016 bull Research design working group pilot study data lab

2017 bull Connect to Real Estate Research Institute (RERI) Literature review and gap analysis

2018 bull Research agenda request for proposals research project selection and execution

Context Setting ndash DOE Research EffortWhat are the impacts of energy efficiency and high-performance building

features on financial performance of commercial real estate

RERIrsquos mission is to encourage and reward research on real estate as an investment and as an asset class that is both academically rigorous and of value to the institutional real estate investment profession In addition RERI serves to provide a forum through which the real estate academic professional and regulatory communities can interact facilitating the exchange of insights amongst these stakeholders

RERI Overview

Sponsors

Build upon DOErsquos Review of Studies in the Market

bull Focus explicitly on peer-reviewed papers Gap analysis of existing research to

identifybull Questions that have already been

sufficiently provenbull Holes in existing body of research

Academic Inputbull Guidance on which studies to includebull Suggestions for how to conduct analysis

Literature Review Objectives

Literature Review Results

LEED

ENER

GY

ST

AR

labe

l

ENER

GY

ST

AR

sc

ore

Ener

gy u

se

BR

EEA

M

Ener

gy

Perf

orm

anc

e Cer

tific

ates

(U

K)

BO

MA

B

EST

Wal

kabi

lity

Non

-ene

rgy

gree

n fe

atur

es

Oth

er

Rent 20 18 1 2 2 2 1 1 1Rent concessions 1 1 1Sales price 9 11 1 1 1 1Assessed value 2 2Market value 1 2 1 2 1Occupancy 10 9 1Lease renewals 1 1 1Service charge 1Operating cost 2 3Energy cost 2 3Tenant satisfaction 1 1 1Sales time 1 1Default rate 2 1Capitalization rate 1 2 2 1Net operating income 1 1 1Loan to value ratio 1 1Debt service coverage ratio 1 1Worker productivity 1 1Other 5 4 1 4 2 2

There is considerable evidence that green building certifications correlate with increased economic value primarily via higher rents and sales prices

bull How do we move beyond certification to analyze performancebull Correlation vs Causation

bull What is driving added value Is it green features and efficiency the green labels themselves or other desirable features often included in certified buildings

Panel studies could help reduce some of the uncertainty and noise Full results presented at ACEEE Summer Study

bull Raising the Rent Premium Moving Green Building Research Beyond Certifications and Rent

bull Cindy Zhu Andrew White Paul Mathew Jeff Deason Philip Coleman

Literature Review Results

Research Agenda Core QuestionldquoHow does ltenergygreen metricgt affect ltfinancial value metricgtrdquo

EnergyGreen Metric

Site energy use or EUI

Source energy use or EUI

Energy cost or costsf

ENERGY STAR score

ENERGY STAR label

Green Building Certification (LEED BOMA 360)

Green Building Certification level (eg LEED Silver Gold)

Financial Value Metric

VacancyOccupancy Sales Price

Leasing Velocity (absorption speed of sales leasing)

Regulatory amp Compliance Risk

Tenant Renewals Insurance (rates ability)

Tenant Satisfaction Default Risk

Rental Income and Rent Concessions Debt Service Coverage Ratio

Marketing Costs Access to Funding

Utility Costs Maintenance OpEx Interest Rates

Obsolescence Reserves

Capitalization Rates

12 proposals received 5 projects selected Criteria

bull Department of Energy goals

bull Impact on Commercial Real Estate (CRE) Industry

bull Feasibility and Interest

bull Quality and Validity

Proposal Reviews

Jim Clayton Avis Devine (York University) and Rogier Holtermans(University of Guelph) Analyzing four types of energy

efficiency interventions on financial components that impact property-level NOI

bull How do interventions impact different aspects of building operations and their subsequent financial impact

Beyond Environmental Building Certification The Impact of Environmental Interventions on Commercial Real Estate Operations

Piet Eichholtz and Nils Kok (Maastricht University) and RogierHoltermans (University of Guelph) Three key questions

bull How is environmental building certification related to commercial building energy consumption

bull How does aging affect the energy consumption of the commercial building stock

bull To what extent do specific energy efficiency investments affect energy consumption in commercial real estate

The Dynamics of Energy Consumption in Commercial Real Estate

Sofia Dermisi Chris Lee and YoungjinChoe (University of Washington) Exploring the effect of disclosure

policies on office building marketability while assessing potential links between market performance of sustainable assets

bull Before and after the disclosure policies while considering market cycles

bull Before and after ENERGY STAR andor LEED certification

Markets included San Francisco Washington DC

Effect of Energy Benchmarking and Disclosure on Office Building Marketability

Dirk Brounen (Tilburg University) and Gianluca Marcato (Reading University) Analyzing the adoption of GRESB within the public real estate markets and

predicting a potential impact of GRESB scores on REIT returns

Sustainable Insights and Public Real Estate Performance GRESB Effects in REIT Markets

Constantine Kontokosta (New York University) Franz Fuerst(Cambridge University) Gary Pivo (University of Arizona) amp Jacob Sagi (UNC Chapel Hill) Utilizing NYC data to empirically model

bull the spread between the premium for labeled (energy efficient) buildings and the cost to retrofit an under-performing building to meet the same standard which will allow us to understand how much of the observed premium is attributable to energy efficiency and how much can be assigned to other perceived benefits (marketing construction quality etc)

bull the hurdle rate for energy retrofit investments using actual audit data and permitted renovation work

Estimating Office and Residential Building Energy Retrofit Hurdle Rates and Risk Arbitrage in Energy Efficiency Investments

Collecting data for continued Data Lab analysis Presenting Research findings

bull Interim research results ndash IPC Research Symposium (October)bull Greenbuild Session (November)bull RERI Research Conference (April)bull Final research results ndash Better Buildings Webinars Summit 2019 (TBA)

Work with DOE case study and data analysis opportunities abound

Next Steps

Paul Mathew

Lawrence Berkeley National Laboratorypamathewlblgov

Paulo Issler

University of California Berkeleypauloisslerberkeleyedu

Erin Hopkins

Virginia Techerinz1vtedu

Andrew White

RE Tech Advisorsawhiteretechadvisorscom

Contact Info

  • Slide Number 1
  • Business Case 20 New Research Around High Performing Buildings
  • Panelists
  • Energy and Default Risk in Commercial Mortgages
  • Paulo Issler
  • Acknowledgements
  • The link between energy and CRE mortgages
  • Approach Impact of energy on default rate
  • Default risk and source EUI (cont)
  • Default risk and source EUI
  • Default risk and source EUI (cont)
  • Default risk and source EUI (cont)
  • What are the impacts on specific loans
  • Case Studies
  • Denver Office ndash energy use and default risk
  • Denver Office ndash energy price and default risk
  • Case Studies ndash summary of risks impacts
  • Case Studies ndash business impact
  • Looking Ahead
  • Looking Ahead ndash our vision
  • Recommendations
  • Slide Number 22
  • Money Matters Exploring the Financial Impacts of Green Certifications in the Multifamily Rental SectorErin A Hopkins PhD CAPS LEED Green AssociateAssistant Professor of Property Management
  • Overview of Research
  • Certifications Represented in Sample
  • Properties by City
  • Descriptive
  • Descriptive
  • Findings
  • Financial Impacts of Green
  • Discussion
  • Discussion
  • Final Thoughts
  • Slide Number 34
  • Slide Number 35
  • Context Setting ndash DOE Research Effort
  • RERI Overview
  • Literature Review Objectives
  • Literature Review Results
  • Literature Review Results
  • Research Agenda Core Question
  • Proposal Reviews
  • Beyond Environmental Building Certification The Impact of Environmental Interventions on Commercial Real Estate Operations
  • The Dynamics of Energy Consumption in Commercial Real Estate
  • Effect of Energy Benchmarking and Disclosure on Office Building Marketability
  • Sustainable Insights and Public Real Estate Performance GRESB Effects in REIT Markets
  • Estimating Office and Residential Building Energy Retrofit Hurdle Rates and Risk Arbitrage in Energy Efficiency Investments
  • Next Steps
  • Contact Info
Y Term ~Bias Estimate EXP estimate Practical Interpretation increasedecrease Std Error DFDen t Ratio Probgt|t| Log(Vacancies amp Rent Loss rentable sf) Log(Total Rents Collected rentable sf) Log(Total Actual Collections rentable sf) Log(Management Fee rentable sf) Log(Total Utilities Rentable sf) Log(MampR rentable sf) Log(Subtotal Maintenance rentable sf) Log(Property Insurance rentable sf) Log(Total All Expenses Rentable sf) Log(NOI Rentable sf) Concessions rentable sf
Log(Vacancies amp Rent Loss rentable sf) Intercept 00893029328 10934118365 934 06116337119 1083785495375 01460072116 08841869197 Green Certified (1=yes 0=no)[Yes] -00318 01047 00991
Log(Vacancies amp Rent Loss rentable sf) Green Certified (1=yes 0=no)[Yes] -0031825668 09686754385 -313 009164153 139931853592 -03472843369 07288994904 Gym (1=yes 0=no)[Yes] 01060 00708 00767
Log(Vacancies amp Rent Loss rentable sf) Gym (1=yes 0=no)[Yes] 01007730854 11060256399 1060 01479591517 1412043780621 0681087207 0496931725 Pool (1=yes 0=no)[Yes] 01126 00089 00131
Log(Vacancies amp Rent Loss rentable sf) Pool (1=yes 0=no)[Yes] 01125884395 11191712315 1192 0113345701 506840641957 09933190097 032527325 Outdoor Common Area (1=yes 0=no)[Yes] 02673 -00803 -00764
Log(Vacancies amp Rent Loss rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 02672618233 13063824429 3064 01690835398 1429144230275 15806495624 01161688791 Walk Score 00102 00065 00066
Log(Vacancies amp Rent Loss rentable sf) Walk Score 00101642302 10102160615 102 00040763935 1219632686439 24934369735 00139912712 of Unfurnished Apartments -00003 -00009 -00008
Log(Vacancies amp Rent Loss rentable sf) of Unfurnished Apartments -0000250981 09997490505 -003 00006011213 142449410245 -04175214322 06769256723 Average Apt Unit Size -00003 -00002 -00002
Log(Vacancies amp Rent Loss rentable sf) Average Apt Unit Size -00002575258 09997425074 -003 00004990119 1315989429881 -05160713681 06066705884 Age -00026 00008 00015
Log(Vacancies amp Rent Loss rentable sf) Age -00026152008 09973882158 -026 00056263988 1391583522195 -04648090107 06427946925 Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00099 00043 00252
Log(Vacancies amp Rent Loss rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00099001013 10099492694 099 0100821633 1384002310718 00981942166 09219201454
Log(Total Rents Collected rentable sf) Intercept 30195696974 204824761253 194825 04164909532 1420770663705 72500246992 0
Log(Total Rents Collected rentable sf) Green Certified (1=yes 0=no)[Yes] 00996165255 11047471944 1047
Hopkins Erin Hopkins Erincant provide a confidencd interval for it
00590542761 1286416575023 16868638818 0094053065
Log(Total Rents Collected rentable sf) Gym (1=yes 0=no)[Yes] 00684081888 10708023088 708 0096210834 1330244953516 07110237581 04783143732
Log(Total Rents Collected rentable sf) Pool (1=yes 0=no)[Yes] 00088712036 10089106694 089 00916333982 708572236354 00968119025 09231490817
Log(Total Rents Collected rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00836597449 09197441505 -803 01126005752 1404546011941 -07429779537 04587359136
Log(Total Rents Collected rentable sf) Walk Score 0006479206 10065002414 065 0002794287 1413201347208 23187331419 00218436949
Log(Total Rents Collected rentable sf) of Unfurnished Apartments -00008678845 0999132492 -009 00003932429 1359586026848 -22069932213 00289920945
Log(Total Rents Collected rentable sf) Average Apt Unit Size -00002078918 09997921298 -002 00003300088 1382568544162 -06299582685 05297616269
Log(Total Rents Collected rentable sf) Age 00008364704 10008368204 008 00037477419 1387794745176 02231931757 08237133506
Log(Total Rents Collected rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00042999624 10043092206 043 0069466499 142786243042 00618998008 09507291881
Log(Total Actual Collections rentable sf) Intercept 30681072891 215011686418 205012 04070110501 1415072794017 75381424868 0
Log(Total Actual Collections rentable sf) Green Certified (1=yes 0=no)[Yes] 00944491888 10990533175 991 00578900924 1291837028308 16315259643 01052148631
Log(Total Actual Collections rentable sf) Gym (1=yes 0=no)[Yes] 00739127176 10767128233 767 0094247393 1335821297113 07842415071 04342868782
Log(Total Actual Collections rentable sf) Pool (1=yes 0=no)[Yes] 00130418887 10131273051 131 00885804441 654593026021 01472321442 08834013324
Log(Total Actual Collections rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00794248992 0923647384 -764 01101507414 1410305976559 -07210564195 04720684016
Log(Total Actual Collections rentable sf) Walk Score 00065530115 10065745295 066 00027272037 14047408887 24028316857 00175745575
Log(Total Actual Collections rentable sf) of Unfurnished Apartments -0000833078 09991672689 -008 00003850262 1365168778586 -21636916411 00322285543
Log(Total Actual Collections rentable sf) Average Apt Unit Size -00002169447 09997830788 -002 00003233576 1393662972101 -06709126047 05033865944
Log(Total Actual Collections rentable sf) Age 00015178151 10015189676 015 0003670824 1398532082324 04134807595 06798877496
Log(Total Actual Collections rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00249154485 10252284322 252 0067842812 1423468871242 03672525904 07139760316
Log(Management Fee rentable sf) Intercept -02128803278 08082528568 -1917 04254329778 585619088893 -0500385111 06186792644
Log(Management Fee rentable sf) Green Certified (1=yes 0=no)[Yes] 0019865513 10200641454 201 00593086525 1354977267554 03349513461 07381797603
Log(Management Fee rentable sf) Gym (1=yes 0=no)[Yes] -00082052627 09918283086 -082 00958032958 1386068833723 -00856469772 09318706455
Log(Management Fee rentable sf) Pool (1=yes 0=no)[Yes] 00174275629 10175803089 176 00771880661 202180965349 02257805358 08236388274
Log(Management Fee rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00153191452 10154370848 154 01103651216 1423896402644 01388042255 08898009734
Log(Management Fee rentable sf) Walk Score 00070459229 10070708039 071 00028008303 805559990921 25156550566 0013868745
Log(Management Fee rentable sf) of Unfurnished Apartments -0001358177 09986427449 -014 00003916726 1421224837061 -34676335479 00006950146
Log(Management Fee rentable sf) Average Apt Unit Size -00005130214 09994871101 -005 00003375961 1007585612206 -15196307445 0131735624
Log(Management Fee rentable sf) Age 00013613923 10013623194 014 00037151697 1277713043957 03664414822 07146417588
Log(Management Fee rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -00674463479 09347778721 -652 00657081953 1299283630266 -10264525997 03065854809
Log(Total Utilities Rentable sf) Intercept -03748562337 06873880949 -3126 04464274077 1402143832266 -08396801522 04025171642
Log(Total Utilities Rentable sf) Green Certified (1=yes 0=no)[Yes] 00873163337 10912418217 912 0064576715 1358457024729 13521334071 01785794114
Log(Total Utilities Rentable sf) Gym (1=yes 0=no)[Yes] 01175979311 11247917766 1248 01048349264 1384172144229 11217438221 02639135776
Log(Total Utilities Rentable sf) Pool (1=yes 0=no)[Yes] 00115680134 10116351816 116 00928512423 72633370166 01245865221 09011950626
Log(Total Utilities Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00222539972 10225034645 225 01216524447 1425571484619 01829309493 0855112103
Log(Total Utilities Rentable sf) Walk Score 00068649233 10068885409 069 00029812807 1396033046894 23026759291 00227754146
Log(Total Utilities Rentable sf) of Unfurnished Apartments -00006773222 09993229071 -007 00004273761 1401067188346 -15848386198 01152575495
Log(Total Utilities Rentable sf) Average Apt Unit Size -00003442022 0999655857 -003 00003581401 1425120147852 -09610825805 03381384619
Log(Total Utilities Rentable sf) Age 00048795122 10048914364 049 00040600929 1425855030198 12018227897 02314244716
Log(Total Utilities Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -01198355423 08870663096 -1129 00742421382 1413320388001 -16141176043 01087323819
Log(MampR rentable sf) Intercept -09030689887 04053238148 -5947 0437858541 1384008312652 -20624674504 00410332652
Log(MampR rentable sf) Green Certified (1=yes 0=no)[Yes] 00937424436 10982768413 983 00639155521 1376081716673 14666609392 01447499128
Log(MampR rentable sf) Gym (1=yes 0=no)[Yes] 00037664885 10037735907 038 01036113865 1396450691334 00363520715 09710535435
Log(MampR rentable sf) Pool (1=yes 0=no)[Yes] 01319613595 11410642271 1411 00887446725 719561267791 14869778183 0141389644
Log(MampR rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00521515872 09491849716 -508 01197720975 1428478988157 -04354235112 06639122497
Log(MampR rentable sf) Walk Score 00110131704 10110740386 111 00029197236 1385662208531 37719907631 00002391344
Log(MampR rentable sf) of Unfurnished Apartments -00008849955 09991153959 -009 00004219429 1410140957414 -20974297602 0037740228
Log(MampR rentable sf) Average Apt Unit Size 00000594506 10000594524 001 0000353075 1429981472006 01683796031 08665225748
Log(MampR rentable sf) Age 0007624822 1007653965 077 00039990018 142990029884 19066812998 00585678315
Log(MampR rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00598131349 10616381449 616 00727173027 1406732379184 08225433659 04121598071
Log(Subtotal Maintenance rentable sf) Intercept -07997344997 04494482769 -5506 0489167182 1380935604874 -16348899298 01043496414
Log(Subtotal Maintenance rentable sf) Green Certified (1=yes 0=no)[Yes] 01180969773 11253532398 1254 00707986514 1348907221481 16680681771 00976219515
Log(Subtotal Maintenance rentable sf) Gym (1=yes 0=no)[Yes] 00409351965 10417845921 418 01148796072 1378640116803 03563312718 07221372278
Log(Subtotal Maintenance rentable sf) Pool (1=yes 0=no)[Yes] 01515780559 11636691295 1637 0100780712 617547240206 15040383505 01376688864
Log(Subtotal Maintenance rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -0078076377 09248937833 -751 01331885868 1426567369893 -05862092154 05586613077
Log(Subtotal Maintenance rentable sf) Walk Score 0011889233 10119601909 120 00032614069 1377504918879 36454307183 00003773801
Log(Subtotal Maintenance rentable sf) of Unfurnished Apartments -00008153416 09991849907 -008 00004682078 1398534995511 -17414095506 00838107083
Log(Subtotal Maintenance rentable sf) Average Apt Unit Size 00005083484 10005084776 005 00003930253 1428434249161 12934242295 01979520949
Log(Subtotal Maintenance rentable sf) Age 00104106727 10104650523 105 00044515054 1428449267664 23386858733 00207383998
Log(Subtotal Maintenance rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 02440298206 12763823925 2764 0081177414 1402563601749 30061295196 00031359748
Log(Property Insurance rentable sf) Intercept -08916874806 04099633635 -5900 04516384713 1429624291993 -19743390727 00502702101
Log(Property Insurance rentable sf) Green Certified (1=yes 0=no)[Yes] 01239058141 11319092561 1319 0062692592 1281678143933 19764027959 00502564371
Log(Property Insurance rentable sf) Gym (1=yes 0=no)[Yes] -0003522638 09964835593 -035 01024969537 1314939748594 -0034368221 09726356404
Log(Property Insurance rentable sf) Pool (1=yes 0=no)[Yes] 00227423743 10230029538 230 01040308572 1125700947624 02186118131 08273482928
Log(Property Insurance rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00155809876 10157030041 157 01206677853 1368483458399 01291230096 08974498986
Log(Property Insurance rentable sf) Walk Score 00072977866 10073244804 073 00030353828 1428602075435 24042392705 00174877086
Log(Property Insurance rentable sf) of Unfurnished Apartments -00010061941 09989943119 -010 0000420017 1337858380697 -23956034086 00179774093
Log(Property Insurance rentable sf) Average Apt Unit Size -00006330482 09993671521 -006 00003514502 1338864329416 -18012458048 0073914725
Log(Property Insurance rentable sf) Age 00009661099 10009665767 010 00039921418 1338497494964 02420028921 08091483095
Log(Property Insurance rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -00520208103 09493091112 -507 00749301111 1411273861679 -06942577501 04886618561
Log(Total All Expenses Rentable sf) Intercept 17410862845 57035357214 47035 03946731547 141889623796 44114636723 00000201648
Log(Total All Expenses Rentable sf) Green Certified (1=yes 0=no)[Yes] 01231722438 11310792255 1311 00565275641 1341244163534 21789766772 00310802733
Log(Total All Expenses Rentable sf) Gym (1=yes 0=no)[Yes] 00096244971 10096709615 097 00919378962 1370603130567 01046847658 09167789899
Log(Total All Expenses Rentable sf) Pool (1=yes 0=no)[Yes] 01610294116 11747195186 1747 00846545666 801516751987 19021940341 00607378863
Log(Total All Expenses Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00361842114 09644626121 -355 01071504659 1418739239709 -03376953252 07360919324
Log(Total All Expenses Rentable sf) Walk Score 00087371658 10087754463 088 00026426023 1411809488418 33062734678 00011989895
Log(Total All Expenses Rentable sf) of Unfurnished Apartments -00008720665 09991283137 -009 00003752966 1389800988186 -23236728617 00215934791
Log(Total All Expenses Rentable sf) Average Apt Unit Size -0000155413 0999844599 -002 00003145108 1409449329598 -0494142052 06219751067
Log(Total All Expenses Rentable sf) Age 00015666155 10015678433 016 00035695206 1412387206124 04388868073 06614142124
Log(Total All Expenses Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00157918953 10159172462 159 00657593447 1424551160559 02401467861 08105616925
Log(NOI Rentable sf) Intercept 27416093787 155119295878 145119 049686036 1426328429735 55178669889 0000000157
Log(NOI Rentable sf) Green Certified (1=yes 0=no)[Yes] 00932241108 10977077159 977 00701671113 1292740226257 13286012361 01863200879
Log(NOI Rentable sf) Gym (1=yes 0=no)[Yes] 0111280688 11177085902 1177 0114413579 13320261997 09726178396 03325061802
Log(NOI Rentable sf) Pool (1=yes 0=no)[Yes] -00608871507 0940929417 -591 01107002034 838263437204 -05500184174 05837693269
Log(NOI Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -01393113526 08699571229 -1300 01340931949 1397855428856 -10389144106 03006382455
Log(NOI Rentable sf) Walk Score 00045000262 10045101666 045 0003337636 1423581725818 13482675372 01797136327
Log(NOI Rentable sf) of Unfurnished Apartments -00007116645 09992885887 -007 00004679272 1358400867851 -15208872073 01306124688
Log(NOI Rentable sf) Average Apt Unit Size -00001937801 09998062387 -002 00003921685 1372175013367 -04941245389 06220083144
Log(NOI Rentable sf) Age 00034607088 1003466704 035 00044548378 1376438770548 07768428318 04385844885
Log(NOI Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00488697769 10500835966 501 00828565286 1429949688826 05898120243 0556247504
Concessions rentable sf Intercept 0091580439 10959049266 959 12772069558 1418541020247 00717036801 09429387231
Concessions rentable sf Green Certified (1=yes 0=no)[Yes] 01110697527 11174728508 1175 01814813765 1293641668833 06120173584 05416004511
Concessions rentable sf Gym (1=yes 0=no)[Yes] -05094051331 06008529 -3991 02955403985 1336296409402 -17236395961 00870857294
Concessions rentable sf Pool (1=yes 0=no)[Yes] -00886152984 09151975838 -848 02791864929 69298361986 -03174053928 07518903943
Concessions rentable sf Outdoor Common Area (1=yes 0=no)[Yes] 04576291372 15803228114 5803 03455726285 1408379747117 13242632646 01875606951
Concessions rentable sf Walk Score 00120688741 10121419968 121 00085630896 1409791646097 14094064916 01609170757
Concessions rentable sf of Unfurnished Apartments -00007045588 09992956894 -007 00012075862 1364744404696 -05834438741 05605574922
Concessions rentable sf Average Apt Unit Size -00003193903 09996806607 -003 00010135961 1389703034326 -03151061148 07531537379
Concessions rentable sf Age 00130223218 10131074815 131 00115086772 139464867267 11315220311 02597773256
Concessions rentable sf Building Mix (0=multifamily 1 = mixed-use)[Mixed] -03719888249 06893619462 -3106 02129597676 1426034459287 -17467563435 00828326573
Y Term Practical Interpretation increasedecrease Probgt|t| Total Rents Collected Subtotal Maintenance Property Insurance Total Expenses
Log(Total Rents Collected rentable sf) Green Certified (1=yes 0=no)[Yes] 1047
Hopkins Erin Hopkins Erincant provide a confidencd interval for it
009 130837635934 13311489362 01847683215 67633617021
Log(Subtotal Maintenance rentable sf) Green Certified (1=yes 0=no)[Yes] 1254 010 267662568114 08839769656 0489370035 133484365708
Log(Property Insurance rentable sf) Green Certified (1=yes 0=no)[Yes] 1319 005 44887430941 07758149459 02417429373 41261056301
Log(Total All Expenses Rentable sf) Green Certified (1=yes 0=no)[Yes] 1311 003 103066299601 12390720963 00474343371 5067818194
206907297628 2385711159 02072356932 9194606526
318766961061 22633758919 04452208547 128154919371
92461669878 09545425866 01280485733 38832017239
143925847783 15966970999 02187893202 54018796992
176714125561 02006495648 02876780533 58992020575
232897515382 0726170332 00787094673 69517596041
Non-green sf average Financial Green Impact sf Financial green impact differencesf Green impactapt Green impactproperty 51780910259 05203453537 00494304264 22609306646
178353784788 17547710996 02048626598 95961490345
Total Rents Collected sf 1047 2356 2603 $ 247 $ 2189 $ 551683 113769814112 12206875575 03432049607 118156743193
Subtotal Maintenance sf 1254 160 180 $ 020 $ 178 $ 44843 301239240258 10561596849 0204970258 110903994641
Property Insurance sf 1319 036 041 $ 005 $ 42 $ 10601 918584487 08376649832 00914663991 4146546939
Total Expenses sf 1311 852 963 $ 112 $ 990 $ 249535 265183769576 19294929362 03500602344 108447158033
226055903548 13557897255 03988791741 10971207244
334894587007 17970717884 05122599181 124640467569
5542518821 31394328066 04875650977 200668786372
112655732059 13445692884 02031297086 43995867235
129139526152 1168069688 00518980213 4651511283
Avg Apt Size Avg of Units 151098478261 13975 02004130435 51873478261
192155046737 21015937064 02616549091 8357602264
887 252 514840434082 52766375656 02375463267 174375582672
81421971535 06694487849 00899424521 2748686222
30246817244 21594341279 03308639536 97277207077
488523197409 27727612187 0646599696 130752346177
318750561687 38903340576 03852711795 142409683793
310384048163 43119745565 03335824966 138846874251
Green Certification Impacts 48578215663 0350218077 03095574205 23695139998
Dependent Variable Per Square Foot Per Apartment Per Property 192237574111 13374121765 02053242615 84027476689
Total Rents Collected $ 247 $ 2189 $ 551683 62979912788 05343191729 00816289996 45390243161
Subtotal Maintenance $ 020 $ 178 $ 44843 148378959661 14651715909 02004049722 80900580942
Property Insurance $ 005 $ 42 $ 10601 196798863889 11267176542 02499920663 90266351433
Total Expenses $ 112 $ 990 $ 249535 281508617823 09686995581 01118170881 119863342059
58584849751 0106864586 04187933949 44180073736
126756167712 1265684516 02796423029 87538414144
176550549412 24957340254 02343899179 88904473415
252421786235 28063734042 03142238564 133776179357
191875932907 13637043757 03440324697 987034902
159508092934 13109374847 02091697013 98967206196
342739845467 09614092295 03929892961 129755936769
192510355167 32804720611 01743191858 134560085596
257829360401 13666691797 01527100011 56329812754
358622391559 14251973427 03437553732 101098436889
217744157919 24046486586 01864745418 68711016642
222112557003 22022148788 07879755849 97807110765
202535763689 04548110217 10003436751 127886698915
155879815194 23816051158 04816227091 119033557201
11066078843 23413202706 06413902496 81812176347
151924709838 18873401649 05711000232 105403544539
163604010853 16052949068 02714509557 82030431823
133974400047 11018949984 03560839935 59096477943
133528448829 13647819036 02538331588 66159357367
187400008959 16889788117 030870974 115752907975
155246293804 18308314258 03852380906 116657595614
34082816218 05447090935 09838411173 13641308574
201220131342 11192465065 03188344246 93786154242
139108532616 13313944086 03887737775 69698295902
191656858207 15717927807 06002115982 119380046581
200921599083 12597596226 03267106334 82474085087
57536742874 00453219212 00300766262 10569757217
120548294116 11607892527 03275736725 74435143659
123188534664 1404028789 03510968138 78762080781
59543029729 0899713372 01652374748 28143456117
144215639215 19193238703 02899837711 67370054173
340046684831 19619729415 04325060698 120608464163
208244777176 28183367899 037 73104355304
234349752613 19432301154 0351134881 107484594815
136370903402 17029933791 01989576534 50899930579
149968383478 14209793679 02735642323 63813718869
81145819519 0920766851 00474564037 30674168785
226307446224 12529424404 02036192613 69235920453
132787305462 08047482453 01232346659 41808605432
251519090044 21798380428 0376480317 80396623551
492269138212 12196979039 02981674812 128316943664
107177195916 08016374211 0113808252 40618650625
128238528886 10751217142 01843492552 6476830365
57582611557 11908427448 0874334536 134004066235
43835651097 34822540694 03904989384 146763800425
205787355386 1429219053 02624404931 5321754079
463148430769 07709353846 06150738462 101617384615
377949548611 28670972222 08296944444 109743576389
360087564176 03501711352 18551055334 110041072447
18371979614 18232783153 07267294459 61184870906
678035276363 13443501226 10431616676 167533484248
56073359244 10138647576 01591318768 51440832304
189431314891 05101557395 03677787459 41010945328
383550342095 23244425576 04086557393 98151764619
115544349685 03310482653 037 40344851625
7552318246 0955023726 01241945851 24368780848
133083101881 19451300341 00938801919 48731378614
122308363087 13760780005 01439989014 45100624828
84908269322 10857071617 01155797799 36082570734
263116048067 10733627163 041902582 60372732395
76183752731 09621126305 01069925907 26170373239
172494454001 11781600332 03919686814 59016193131
342076422068 22741368431 03165622465 73557085549
215534567901 1485497076 02210396361 49118778428
314593058927 23798916958 02751353803 121998559501
586535191691 21029046354 02109026171 91979074439
138093310078 14595490221 02142269839 44286283792
227203645682 04584630891 05737147639 93344680527
572754455737 17713614269 01642228739 92545561671
60603870458 04541110154 01180884676 15902125521
358781017266 33847643857 06854022643 139200146946
342079216629 24477703832 0463059603 67166143833
651201231187 51019950176 12529595849 222094150831
369798669702 21700816928 0444474205 101410502507
421838575952 28823013788 05443272608 151399739597
626095189209 20826275416 04947814184 184651096472
214882899762 25034709712 06359683889 109534721722
274037120739 26718517094 037 67504928595
252667703737 25588590114 05379535858 109041874345
59253832495 01099622961 04620367393 19262874847
150862851538 18053109961 07398729558 71488607075
111196959019 00928417366 037 09427894164
667360269858 07921160191 02989609494 104670639024
2356 160 036 852
Log(Vacancies amp Rent Loss rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified -00318 00916 -00313 07289
Fitness Center 01008 01480 01060 04969
Pool 01126 01133 01192 03253
Outdoor Common Area 02673 01691 03064 01162
Walk Score 00102 00041 00102 00140
of Unfurnished Apartments -00003 00006 -00003 06769
Average Apt Unit Size -00003 00005 -00003 06067
Age -00026 00056 -00026 06428
Building Mix 00099 01008 00099 09219
Note R2 = 645
Log(Total Rents Collected rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00996 00591 01047 00941
Fitness Center 00684 00962 00708 04783
Pool 00089 00916 00089 09231
Outdoor Common Area -00837 01126 -00803 04587
Walk Score 00065 00028 00065 00218
of Unfurnished Apartments -00009 00004 -00009 00290
Average Apt Unit Size -00002 00003 -00002 05298
Age 00008 00037 00008 08237
Building Mix 00043 00695 00043 09507
Note R2 = 3318
Log(Total Actual Collections rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00944 00579 00991 01052
Fitness Center 00739 00942 00767 04343
Pool 00130 00886 00131 08834
Outdoor Common Area -00794 01102 -00764 04721
Walk Score 00066 00027 00066 00176
of Unfurnished Apartments -00008 00004 -00008 00322
Average Apt Unit Size -00002 00003 -00002 05034
Age 00015 00037 00015 06799
Building Mix 00249 00678 00252 07140
Note R2 = 3219
Log(Management Fee rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00199 00593 00201 07382
Fitness Center -00082 00958 -00082 09319
Pool 00174 00772 00176 08236
Outdoor Common Area 00153 01104 00154 08898
Walk Score 00070 00028 00071 00139
of Unfurnished Apartments -00014 00004 -00014 00007
Average Apt Unit Size -00005 00003 -00005 01317
Age 00014 00037 00014 07146
Building Mix -00674 00657 -00652 03066
Note R2 = 1697
Log(Total Utilities Rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00873 00646 00912 01786
Fitness Center 01176 01048 01248 02639
Pool 00116 00929 00116 09012
Outdoor Common Area 00223 01217 00225 08551
Walk Score 00069 00030 00069 00228
of Unfurnished Apartments -00007 00004 -00007 01153
Average Apt Unit Size -00003 00004 -00003 03381
Age 00049 00041 00049 02314
Building Mix -01198 00742 -01129 01087
Note R2 = 2171
Log(MampR rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00937 00639 00983 01447
Fitness Center 00038 01036 00038 09711
Pool 01320 00887 01411 01414
Outdoor Common Area -00522 01198 -00508 06639
Walk Score 00110 00029 00111 00002
of Unfurnished Apartments -00009 00004 -00009 00377
Average Apt Unit Size 00001 00004 00001 08665
Age 00076 00040 00077 00586
Building Mix 00598 00727 00616 04122
Note R2 = 2620
Log(Subtotal Maintenance rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 01181 00708 01254 00976
Fitness Center 00409 01149 00418 07221
Pool 01516 01008 01637 01377
Outdoor Common Area -00781 01332 -00751 05587
Walk Score 00119 00033 00120 00004
of Unfurnished Apartments -00008 00005 -00008 00838
Average Apt Unit Size 00005 00004 00005 01980
Age 00104 00045 00105 00207
Building Mix 02440 00812 02764 00031
Note R2 = 3218
Log(Property Insurance rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 01239 00627 01319 00503
Fitness Center -00035 01025 -00035 09726
Pool 00227 01040 00230 08273
Outdoor Common Area 00156 01207 00157 08974
Walk Score 00073 00030 00073 00175
of Unfurnished Apartments -00010 00004 -00010 00180
Average Apt Unit Size -00006 00004 -00006 00739
Age 00010 00040 00010 08091
Building Mix -00520 00749 -00507 04887
Note R2 = 3902
Log(Total All Expenses Rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 01232 00565 01311 00311
Fitness Center 00096 00919 00097 09168
Pool 01610 00847 01747 00607
Outdoor Common Area -00362 01072 -00355 07361
Walk Score 00087 00026 00088 00012
of Unfurnished Apartments -00009 00004 -00009 00216
Average Apt Unit Size -00002 00003 -00002 06220
Age 00016 00036 00016 06614
Building Mix 00158 00658 00159 08106
Note R2 = 2943
Log(NOI Rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00932 00702 00977 01863
Fitness Center 01113 01144 01177 03325
Pool -00609 01107 -00591 05838
Outdoor Common Area -01393 01341 -01300 03006
Walk Score 00045 00033 00045 01797
of Unfurnished Apartments -00007 00005 -00007 01306
Average Apt Unit Size -00002 00004 -00002 06220
Age 00035 00045 00035 04386
Building Mix 00489 00829 00501 05562
Note R2 = 3669
Concessions rentable sf
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 01111 01815 01175 05416
Fitness Center -05094 02955 -03991 00871
Pool -00886 02792 -00848 07519
Outdoor Common Area 04576 03456 05803 01876
Walk Score 00121 00086 00121 01609
of Unfurnished Apartments -00007 00012 -00007 05606
Average Apt Unit Size -00003 00010 -00003 07532
Age 00130 00115 00131 02598
Building Mix -03720 02130 -03106 00828
Note R2 = 2402
Y Term ~Bias Estimate EXP estimate Practical Interpretation increasedecrease Std Error DFDen t Ratio Probgt|t| Estimate Std Error Practical Interpretation Significance
Log(Vacancies amp Rent Loss rentable sf) Intercept 00893029328 10934118365 934 06116337119 1083785495375 01460072116 08841869197 Green Cert
Log(Vacancies amp Rent Loss rentable sf) Green Certified (1=yes 0=no)[Yes] -0031825668 09686754385 -313 009164153 139931853592 -03472843369 07288994904 Gym
Log(Vacancies amp Rent Loss rentable sf) Gym (1=yes 0=no)[Yes] 01007730854 11060256399 1060 01479591517 1412043780621 0681087207 0496931725
Log(Vacancies amp Rent Loss rentable sf) Pool (1=yes 0=no)[Yes] 01125884395 11191712315 1192 0113345701 506840641957 09933190097 032527325
Log(Vacancies amp Rent Loss rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 02672618233 13063824429 3064 01690835398 1429144230275 15806495624 01161688791
Log(Vacancies amp Rent Loss rentable sf) Walk Score 00101642302 10102160615 102 00040763935 1219632686439 24934369735 00139912712
Log(Vacancies amp Rent Loss rentable sf) of Unfurnished Apartments -0000250981 09997490505 -003 00006011213 142449410245 -04175214322 06769256723
Log(Vacancies amp Rent Loss rentable sf) Average Apt Unit Size -00002575258 09997425074 -003 00004990119 1315989429881 -05160713681 06066705884
Log(Vacancies amp Rent Loss rentable sf) Age -00026152008 09973882158 -026 00056263988 1391583522195 -04648090107 06427946925
Log(Vacancies amp Rent Loss rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00099001013 10099492694 099 0100821633 1384002310718 00981942166 09219201454
Log(Total Rents Collected rentable sf) Intercept 30195696974 204824761253 194825 04164909532 1420770663705 72500246992 0
Log(Total Rents Collected rentable sf) Green Certified (1=yes 0=no)[Yes] 00996165255 11047471944 1047
Hopkins Erin Hopkins Erincant provide a confidencd interval for it
00590542761 1286416575023 16868638818 0094053065 0099617 00590542761 1047
Log(Total Rents Collected rentable sf) Gym (1=yes 0=no)[Yes] 00684081888 10708023088 708 0096210834 1330244953516 07110237581 04783143732
Log(Total Rents Collected rentable sf) Pool (1=yes 0=no)[Yes] 00088712036 10089106694 089 00916333982 708572236354 00968119025 09231490817
Log(Total Rents Collected rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00836597449 09197441505 -803 01126005752 1404546011941 -07429779537 04587359136
Log(Total Rents Collected rentable sf) Walk Score 0006479206 10065002414 065 0002794287 1413201347208 23187331419 00218436949
Log(Total Rents Collected rentable sf) of Unfurnished Apartments -00008678845 0999132492 -009 00003932429 1359586026848 -22069932213 00289920945 variance components to talk about how much of the total error that is attribuatle to city
Log(Total Rents Collected rentable sf) Average Apt Unit Size -00002078918 09997921298 -002 00003300088 1382568544162 -06299582685 05297616269
Log(Total Rents Collected rentable sf) Age 00008364704 10008368204 008 00037477419 1387794745176 02231931757 08237133506
Log(Total Rents Collected rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00042999624 10043092206 043 0069466499 142786243042 00618998008 09507291881
Log(Total Actual Collections rentable sf) Intercept 30681072891 215011686418 205012 04070110501 1415072794017 75381424868 0
Log(Total Actual Collections rentable sf) Green Certified (1=yes 0=no)[Yes] 00944491888 10990533175 991 00578900924 1291837028308 16315259643 01052148631
Log(Total Actual Collections rentable sf) Gym (1=yes 0=no)[Yes] 00739127176 10767128233 767 0094247393 1335821297113 07842415071 04342868782
Log(Total Actual Collections rentable sf) Pool (1=yes 0=no)[Yes] 00130418887 10131273051 131 00885804441 654593026021 01472321442 08834013324
Log(Total Actual Collections rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00794248992 0923647384 -764 01101507414 1410305976559 -07210564195 04720684016
Log(Total Actual Collections rentable sf) Walk Score 00065530115 10065745295 066 00027272037 14047408887 24028316857 00175745575
Log(Total Actual Collections rentable sf) of Unfurnished Apartments -0000833078 09991672689 -008 00003850262 1365168778586 -21636916411 00322285543
Log(Total Actual Collections rentable sf) Average Apt Unit Size -00002169447 09997830788 -002 00003233576 1393662972101 -06709126047 05033865944
Log(Total Actual Collections rentable sf) Age 00015178151 10015189676 015 0003670824 1398532082324 04134807595 06798877496
Log(Total Actual Collections rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00249154485 10252284322 252 0067842812 1423468871242 03672525904 07139760316
Log(Management Fee rentable sf) Intercept -02128803278 08082528568 -1917 04254329778 585619088893 -0500385111 06186792644
Log(Management Fee rentable sf) Green Certified (1=yes 0=no)[Yes] 0019865513 10200641454 201 00593086525 1354977267554 03349513461 07381797603
Log(Management Fee rentable sf) Gym (1=yes 0=no)[Yes] -00082052627 09918283086 -082 00958032958 1386068833723 -00856469772 09318706455
Log(Management Fee rentable sf) Pool (1=yes 0=no)[Yes] 00174275629 10175803089 176 00771880661 202180965349 02257805358 08236388274
Log(Management Fee rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00153191452 10154370848 154 01103651216 1423896402644 01388042255 08898009734
Log(Management Fee rentable sf) Walk Score 00070459229 10070708039 071 00028008303 805559990921 25156550566 0013868745
Log(Management Fee rentable sf) of Unfurnished Apartments -0001358177 09986427449 -014 00003916726 1421224837061 -34676335479 00006950146
Log(Management Fee rentable sf) Average Apt Unit Size -00005130214 09994871101 -005 00003375961 1007585612206 -15196307445 0131735624
Log(Management Fee rentable sf) Age 00013613923 10013623194 014 00037151697 1277713043957 03664414822 07146417588
Log(Management Fee rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -00674463479 09347778721 -652 00657081953 1299283630266 -10264525997 03065854809
Log(Total Utilities Rentable sf) Intercept -03748562337 06873880949 -3126 04464274077 1402143832266 -08396801522 04025171642
Log(Total Utilities Rentable sf) Green Certified (1=yes 0=no)[Yes] 00873163337 10912418217 912 0064576715 1358457024729 13521334071 01785794114
Log(Total Utilities Rentable sf) Gym (1=yes 0=no)[Yes] 01175979311 11247917766 1248 01048349264 1384172144229 11217438221 02639135776
Log(Total Utilities Rentable sf) Pool (1=yes 0=no)[Yes] 00115680134 10116351816 116 00928512423 72633370166 01245865221 09011950626
Log(Total Utilities Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00222539972 10225034645 225 01216524447 1425571484619 01829309493 0855112103
Log(Total Utilities Rentable sf) Walk Score 00068649233 10068885409 069 00029812807 1396033046894 23026759291 00227754146
Log(Total Utilities Rentable sf) of Unfurnished Apartments -00006773222 09993229071 -007 00004273761 1401067188346 -15848386198 01152575495
Log(Total Utilities Rentable sf) Average Apt Unit Size -00003442022 0999655857 -003 00003581401 1425120147852 -09610825805 03381384619
Log(Total Utilities Rentable sf) Age 00048795122 10048914364 049 00040600929 1425855030198 12018227897 02314244716
Log(Total Utilities Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -01198355423 08870663096 -1129 00742421382 1413320388001 -16141176043 01087323819
Log(MampR rentable sf) Intercept -09030689887 04053238148 -5947 0437858541 1384008312652 -20624674504 00410332652
Log(MampR rentable sf) Green Certified (1=yes 0=no)[Yes] 00937424436 10982768413 983 00639155521 1376081716673 14666609392 01447499128
Log(MampR rentable sf) Gym (1=yes 0=no)[Yes] 00037664885 10037735907 038 01036113865 1396450691334 00363520715 09710535435
Log(MampR rentable sf) Pool (1=yes 0=no)[Yes] 01319613595 11410642271 1411 00887446725 719561267791 14869778183 0141389644
Log(MampR rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00521515872 09491849716 -508 01197720975 1428478988157 -04354235112 06639122497
Log(MampR rentable sf) Walk Score 00110131704 10110740386 111 00029197236 1385662208531 37719907631 00002391344
Log(MampR rentable sf) of Unfurnished Apartments -00008849955 09991153959 -009 00004219429 1410140957414 -20974297602 0037740228
Log(MampR rentable sf) Average Apt Unit Size 00000594506 10000594524 001 0000353075 1429981472006 01683796031 08665225748
Log(MampR rentable sf) Age 0007624822 1007653965 077 00039990018 142990029884 19066812998 00585678315
Log(MampR rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00598131349 10616381449 616 00727173027 1406732379184 08225433659 04121598071
Log(Subtotal Maintenance rentable sf) Intercept -07997344997 04494482769 -5506 0489167182 1380935604874 -16348899298 01043496414
Log(Subtotal Maintenance rentable sf) Green Certified (1=yes 0=no)[Yes] 01180969773 11253532398 1254 00707986514 1348907221481 16680681771 00976219515
Log(Subtotal Maintenance rentable sf) Gym (1=yes 0=no)[Yes] 00409351965 10417845921 418 01148796072 1378640116803 03563312718 07221372278
Log(Subtotal Maintenance rentable sf) Pool (1=yes 0=no)[Yes] 01515780559 11636691295 1637 0100780712 617547240206 15040383505 01376688864
Log(Subtotal Maintenance rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -0078076377 09248937833 -751 01331885868 1426567369893 -05862092154 05586613077
Log(Subtotal Maintenance rentable sf) Walk Score 0011889233 10119601909 120 00032614069 1377504918879 36454307183 00003773801
Log(Subtotal Maintenance rentable sf) of Unfurnished Apartments -00008153416 09991849907 -008 00004682078 1398534995511 -17414095506 00838107083
Log(Subtotal Maintenance rentable sf) Average Apt Unit Size 00005083484 10005084776 005 00003930253 1428434249161 12934242295 01979520949
Log(Subtotal Maintenance rentable sf) Age 00104106727 10104650523 105 00044515054 1428449267664 23386858733 00207383998
Log(Subtotal Maintenance rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 02440298206 12763823925 2764 0081177414 1402563601749 30061295196 00031359748
Log(Property Insurance rentable sf) Intercept -08916874806 04099633635 -5900 04516384713 1429624291993 -19743390727 00502702101
Log(Property Insurance rentable sf) Green Certified (1=yes 0=no)[Yes] 01239058141 11319092561 1319 0062692592 1281678143933 19764027959 00502564371
Log(Property Insurance rentable sf) Gym (1=yes 0=no)[Yes] -0003522638 09964835593 -035 01024969537 1314939748594 -0034368221 09726356404
Log(Property Insurance rentable sf) Pool (1=yes 0=no)[Yes] 00227423743 10230029538 230 01040308572 1125700947624 02186118131 08273482928
Log(Property Insurance rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00155809876 10157030041 157 01206677853 1368483458399 01291230096 08974498986
Log(Property Insurance rentable sf) Walk Score 00072977866 10073244804 073 00030353828 1428602075435 24042392705 00174877086
Log(Property Insurance rentable sf) of Unfurnished Apartments -00010061941 09989943119 -010 0000420017 1337858380697 -23956034086 00179774093
Log(Property Insurance rentable sf) Average Apt Unit Size -00006330482 09993671521 -006 00003514502 1338864329416 -18012458048 0073914725
Log(Property Insurance rentable sf) Age 00009661099 10009665767 010 00039921418 1338497494964 02420028921 08091483095
Log(Property Insurance rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -00520208103 09493091112 -507 00749301111 1411273861679 -06942577501 04886618561
Log(Total All Expenses Rentable sf) Intercept 17410862845 57035357214 47035 03946731547 141889623796 44114636723 00000201648
Log(Total All Expenses Rentable sf) Green Certified (1=yes 0=no)[Yes] 01231722438 11310792255 1311 00565275641 1341244163534 21789766772 00310802733
Log(Total All Expenses Rentable sf) Gym (1=yes 0=no)[Yes] 00096244971 10096709615 097 00919378962 1370603130567 01046847658 09167789899
Log(Total All Expenses Rentable sf) Pool (1=yes 0=no)[Yes] 01610294116 11747195186 1747 00846545666 801516751987 19021940341 00607378863
Log(Total All Expenses Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00361842114 09644626121 -355 01071504659 1418739239709 -03376953252 07360919324
Log(Total All Expenses Rentable sf) Walk Score 00087371658 10087754463 088 00026426023 1411809488418 33062734678 00011989895
Log(Total All Expenses Rentable sf) of Unfurnished Apartments -00008720665 09991283137 -009 00003752966 1389800988186 -23236728617 00215934791
Log(Total All Expenses Rentable sf) Average Apt Unit Size -0000155413 0999844599 -002 00003145108 1409449329598 -0494142052 06219751067
Log(Total All Expenses Rentable sf) Age 00015666155 10015678433 016 00035695206 1412387206124 04388868073 06614142124
Log(Total All Expenses Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00157918953 10159172462 159 00657593447 1424551160559 02401467861 08105616925
Log(NOI Rentable sf) Intercept 27416093787 155119295878 145119 049686036 1426328429735 55178669889 0000000157
Log(NOI Rentable sf) Green Certified (1=yes 0=no)[Yes] 00932241108 10977077159 977 00701671113 1292740226257 13286012361 01863200879
Log(NOI Rentable sf) Gym (1=yes 0=no)[Yes] 0111280688 11177085902 1177 0114413579 13320261997 09726178396 03325061802
Log(NOI Rentable sf) Pool (1=yes 0=no)[Yes] -00608871507 0940929417 -591 01107002034 838263437204 -05500184174 05837693269
Log(NOI Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -01393113526 08699571229 -1300 01340931949 1397855428856 -10389144106 03006382455
Log(NOI Rentable sf) Walk Score 00045000262 10045101666 045 0003337636 1423581725818 13482675372 01797136327
Log(NOI Rentable sf) of Unfurnished Apartments -00007116645 09992885887 -007 00004679272 1358400867851 -15208872073 01306124688
Log(NOI Rentable sf) Average Apt Unit Size -00001937801 09998062387 -002 00003921685 1372175013367 -04941245389 06220083144
Log(NOI Rentable sf) Age 00034607088 1003466704 035 00044548378 1376438770548 07768428318 04385844885
Log(NOI Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00488697769 10500835966 501 00828565286 1429949688826 05898120243 0556247504
Concessions rentable sf Intercept 0091580439 10959049266 959 12772069558 1418541020247 00717036801 09429387231
Concessions rentable sf Green Certified (1=yes 0=no)[Yes] 01110697527 11174728508 1175 01814813765 1293641668833 06120173584 05416004511
Concessions rentable sf Gym (1=yes 0=no)[Yes] -05094051331 06008529 -3991 02955403985 1336296409402 -17236395961 00870857294
Concessions rentable sf Pool (1=yes 0=no)[Yes] -00886152984 09151975838 -848 02791864929 69298361986 -03174053928 07518903943
Concessions rentable sf Outdoor Common Area (1=yes 0=no)[Yes] 04576291372 15803228114 5803 03455726285 1408379747117 13242632646 01875606951
Concessions rentable sf Walk Score 00120688741 10121419968 121 00085630896 1409791646097 14094064916 01609170757
Concessions rentable sf of Unfurnished Apartments -00007045588 09992956894 -007 00012075862 1364744404696 -05834438741 05605574922
Concessions rentable sf Average Apt Unit Size -00003193903 09996806607 -003 00010135961 1389703034326 -03151061148 07531537379
Concessions rentable sf Age 00130223218 10131074815 131 00115086772 139464867267 11315220311 02597773256
Concessions rentable sf Building Mix (0=multifamily 1 = mixed-use)[Mixed] -03719888249 06893619462 -3106 02129597676 1426034459287 -17467563435 00828326573
Page 5: AUGUST 21- 23, 2018 • CLEVELAND, OHIO€¦ · Business Case 2.0: New Research Around High Performing Buildings Thursday 23 rd, 2018 10:30am – 12:00pm

Paulo IsslerReal Estate amp Financial Markets Lab DirectorUniversity of California Berkeley

5

Acknowledgements Holly Carr (US DOE) Cindy Zhu (US DOE)

Philip Coleman (LBNL) Jeff Deason (LBNL) Tianzhen Hong (LBNL) Paulo Issler (UCB) Paul Mathew (LBNL) Emily McLaughlin (IMT) Baptiste Ravache (LBNL) Kaiyu Sun (LBNL) Nancy Wallace (UCB)

6

The link between energy and CRE mortgages Net Operating Income (NOI) the key financial measure for CRE valuation and mortgage risk Energy cost is one of the largest components of Net Operating Income (NOI)

Energy prices are highly volatile Poor CRE property management can severely impact energy consumption

Current practice does not fully account for these factors in calculation of Net Operating Income (NOI) Usually based on historical average cost data if available Does not account for energy use and price volatility during mortgage term

Key question How much do these factors ldquomove the needlerdquo for NOI and default risk

Energy Use VolumeElectricity kWhkW fuel therms etc

Driven by bldg features operations climate

Energy Use Volatility+- change over mortgage term

Driven by bldg operations weather variation

Energy Price$kWh $kW $therm

Set by rate structure

Energy Price Volatility+- change over mortgage term

Driven by rate structure forward price curves

7

Approach Impact of energy on default rateMortgage Default Rate = f (EUI ElecPriceGap CouponSpread LTV Region more controlshellip)

TREPPLoan Dataset

geocode

Benchmark Disclosure

Dataset

Expanded Benchmark Disclosure

match

Combined TREPP mortgage performance and Benchmarking Disclosure Datasets

ISO ElectricityHH Nat Gas

Datasets

match amp calc

Interest Rate Proxy

Dataset

match amp calc

Empirical analysis combiningbull Mortgage loan data (TREPP) bull Energy use data (Benchmarking disclosure)

8

Default risk and source EUI (cont)

The coefficient estimates for BOTH the Electricity Price Gap and Source EUI are significant at better than the 05 level of statistical significance

bull The higher the Source EUI (the more energy usage per square foot) the higher the likelihood of default

bull The higher the Electricity Price Gap (the larger the difference between the actual and the expected electricity prices since the loan origination) the higher the likelihood of default

Office + Retail ndash Linear probability model

9

Default risk and source EUI

Coefficient Estimate Standard Error

Intercept -040444 018466Log Source EUI 007335 003129

Origination Loan-to-Value Ratio 000258 000096

Coupon Spread to 10 Year Treasury 002188 001565

Electricity Price Gap 000003 000001

Time to Maturity on Balloon -000189 000060

Origination Year Fixed Effects Yes

473 observations R2 = 1052 plt01 plt005 plt001

Office + Retail ndash Linear probability model

10

Default risk and source EUI (cont)

Coefficient estimates are significant and robust for three cohorts all buildings Office + multiuse + retail office only Coefficient estimates for electricity price gap significant for all buildings

office + multiuse + retail Consistent results for linear probability and logistic regression models

11

Analysis using Scaled Source EUI ndash Linear probability model

Ratio of Source EUI to NOI(floor area)

Default risk and source EUI (cont)

Coefficient Estimate Standard Error

Intercept -000538 011067Scaled Source EUI 000183 0000369

Origination Loan-to-Value Ratio 000263 000117

Coupon Spread to 10 Year Treasury 000751 0040

Electricity Price Gap 000003 000001

Time to Maturity on Balloon -000203 000068

Origination Year Fixed Effects Yes

339 observations R2 = 1768 plt01 plt005 plt001

Scaled Source EUI (Office + MU + Retail) ndash Linear probability model

12

What are the impacts on specific loansCollaborate with lenders to 1 Demonstrate impact of energy use and price on specific mortgage loans2 Develop recommendations

Approach Compile info from Appraisals PCAs

other sources Estimate source EUI variations

Simulation and empirical approaches

Compute electricity price gap using forward curves

Compute default risk impact due to source EUI and electricity price gap

13

Case Studies

Denver Office

Denver Hotel

San Francisco Multi-family

San Jose Office Sonoma Office

Denver Office ndash energy use and default riskFacilities Management factors HVAC schedule Thermostat setback Supply air temp control VAV min flow control Economizer controls Lighting controlsLevels good average poor

Occupancy factors Occupant density Occupant schedule Plug load density Plug load controlsLevels goodlow average poorhigh

CaseFacilities mgmtfactors

OccupancyFactors

Source EUI change ()

Default risk change (bp)

1 Good GoodLow -54 -248

2 Good Ave -33 -127

3 Ave Ave - -

4 Good PoorHigh +4 +12

5 Poor GoodLow +64 +158

6 Poor Ave +76 +181

7 Poor PoorHigh +132 +268

15

Denver Office ndash energy price and default risk

16

Case Studies ndash summary of risks impacts

Building Source EUI variation ()

Default rate variation (bp)

Default rate variation relative to TREPP avg ()

Denver Office -54 to +132 -248 to +268 -31 to +34

Sonoma Office -40 to +183 -161 to +331 -20 to +41

San Jose Office -62 to +119 -308 to +249 -39 to +31

Denver Hotel -11 to +17 -37 to +49 -5 to +6

San Francisco Multi-family -20 to +26 -72 to +74 -9 to +9

Wholesale price region Default rate variation (bp) Default rate variation relative to TREPP avg ()

Denver area +159 to +501 +20 to +63

Northern California -49 to +705 -6 to +88

Compare to TREPP average default rate of 800bp

17

Case Studies ndash business impactThese results showing the impact of energy on default risk are clearly meaningful I dont currently consider energy efficiency when making a loan and seeing this makes me think I would want to ask about itrdquo

I would like to apply these findings but would want an easy way to use it A simple score or ratio for energy risk would be good In fact I would be interested to pilot test it

Keith Hanley Silicon Valley Bank

18

Looking Ahead

Looking Ahead ndash our visionTo have energy factors fully and routinely incorporated in commercial mortgage valuation accelerating demand for buildings with lower energy risk

20

Show that energy matters

Develop and pilot

interventions Disseminate

best practices Institutionalize

Analysis of energy impacts

Long term

Case studies on actual mortgage loans

Protocols and tools for lenders and owners

Industry Standards

Scope of current effort

RecommendationsLenders Ask owners to provide info on energy cost range

Account for variations in energy use and energy price Could be done as part of Property Condition Assessment Can reference ASTM standard

Incorporate energy risk factor into underwriting and terms eg Interest rate discount for lower risk

Offer additional loan proceeds for EE investments

Owners Ask lenders to account for energy efficiency when setting mortgage

terms Provide data on energy costs to lender

Historical and anticipated In appraisal andor PCA

21

Thank you

Money Matters Exploring the Financial Impacts of Green Certifications in the Multifamily Rental Sector

Erin A Hopkins PhD CAPS LEED Green AssociateAssistant Professor of Property Management

bull Sample 153 properties from 2 of National Multifamily Housing Councilrsquos 2016 50 Largest Apartment Managers

bull Green-certified 2288 of properties (35 properties)bull Methodology Multiple Regression Analysisbull Controls Location Fitness Center Pool Outdoor Common Area Walk

Score of Unfurnished Apartments Average Apartment Unit Size Age Building Mix

bull Limitations Building class not directly taken into account

Overview of Research

Certifications Represented in Sample

Austin Energy Green Buildingreg (AEGB)

Rating System(3)

ENERGY STARreg

(1)

Florida Green Building Coalition

(FGBC)(1)

GreenPoint Rated(4)

LEEDreg

(16)

National Green Building Standardtrade

(NGBS)(11)

Properties by City

2

4

2 2 21 1

3

1 1 12 2

1 1 1

6

1 1

8

11

4

6

14

3

1

19

3

1 1

7

43

2

9

18

2 2

0

2

4

6

8

10

12

14

16

18

20

Summary Statistics of City Datan=153

Summary Satistics of City Data Green Bldgs Summary Satistics of City Data Non-Green Comparables

Descriptive

97

71

100

31

89

69

93

24

0

20

40

60

80

100

120

Fitness Center Pool Outdoor Common Area Mixed-Use Property

Summary Statistics of Green vs Non-Green Propertiesn = 153

Green Non-Green

Descriptive

73228

866

2011

74

259

894

2003

0

500

1000

1500

2000

2500

Walk Score Average Number of Units Average Apt Unit Size (sf) Age

Summary Statistics of Green vs Non-Green Properties

n = 153

Green Non-Green

Findings

Total Rents Collected1047

Total Maintenance1254

Property Insurance1319

Total Expenses1311

Higher rents and expenses

Financial Impacts of Green

Dependent Variable Per Square Foot Per Apartment Per PropertyTotal Rents Collected 247$ 2189$ 551683$ Subtotal Maintenance 020$ 178$ 44843$ Property Insurance 005$ 42$ 10601$ Total Expenses 112$ 990$ 249535$

Coefficients Standard Errors

Tables

Summary of Green Impacts

Summary Table

Discussion

bull Assume efficient operations will offset the higher rent

bull Philanthropic motivesbull Prestige motivesbull Green buildings tend to be newermore

likely to offer the more sought-after amenities and finishes

bull Tend to be in higher-income areaslikely have higher rents

Different motivations for paying higher rent may be in

play

Discussion

Higher Operating Expenses a Surprise

Does not align with much of the existing researchhellipbut no research on effects of green certification on total operating expenses within multifamily rental sector

Many of the certifications represented in this study focus on the design phase of the property vs the operations and maintenance phase

And although promotion of sustainability is on the rise in the multifamily housing sector staff may remain unfamiliar with the unique operations and maintenance of green

buildings

Final Thoughts

Apartment homes represent $13 trillion to the US economy and 5 million new rental households are expected by 2023 (National Multifamily Housing Council 2015)

Upfront capital constraints regulatory issues knowledge limitations and marketing concerns may diminish the attractiveness of multifamily rental green building

certification if not properly managed

Most studies focus on office sector andor strictly rents or property value

This study begins to look at the multifamily rental sector and offer a more comprehensive analysis

Further research is needed with larger datasets to understand effects of green certification on income statement components in the apartment industry as NOI

ultimately determines property market valueOptimism that this study can be the impetus for further research contributions on the

financial environmental and resident satisfaction impacts of green practices and certifications on the multifamily rental sector

Contact informationErin A Hopkinserinz1vtedu

Acknowledgementsbull Todd Feist Sustainability Program Manager at The Institute of

Real Estate Management (IREMreg) for his assistance with this research project

bull Yardi and IREMreg for the grant awarded to support this researchbull The two property management companies for sharing their data

BUILDING PERFORMANCE

UNLOCKINGVALUE

New DOE-driven Research Around High Performing Buildings

AUGUST 23 2018

ANDREW WHITEASSOCIATE MANAGERawhiteretechadvisorscom

2015-2016 bull Research design working group pilot study data lab

2017 bull Connect to Real Estate Research Institute (RERI) Literature review and gap analysis

2018 bull Research agenda request for proposals research project selection and execution

Context Setting ndash DOE Research EffortWhat are the impacts of energy efficiency and high-performance building

features on financial performance of commercial real estate

RERIrsquos mission is to encourage and reward research on real estate as an investment and as an asset class that is both academically rigorous and of value to the institutional real estate investment profession In addition RERI serves to provide a forum through which the real estate academic professional and regulatory communities can interact facilitating the exchange of insights amongst these stakeholders

RERI Overview

Sponsors

Build upon DOErsquos Review of Studies in the Market

bull Focus explicitly on peer-reviewed papers Gap analysis of existing research to

identifybull Questions that have already been

sufficiently provenbull Holes in existing body of research

Academic Inputbull Guidance on which studies to includebull Suggestions for how to conduct analysis

Literature Review Objectives

Literature Review Results

LEED

ENER

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ENER

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Ener

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Rent 20 18 1 2 2 2 1 1 1Rent concessions 1 1 1Sales price 9 11 1 1 1 1Assessed value 2 2Market value 1 2 1 2 1Occupancy 10 9 1Lease renewals 1 1 1Service charge 1Operating cost 2 3Energy cost 2 3Tenant satisfaction 1 1 1Sales time 1 1Default rate 2 1Capitalization rate 1 2 2 1Net operating income 1 1 1Loan to value ratio 1 1Debt service coverage ratio 1 1Worker productivity 1 1Other 5 4 1 4 2 2

There is considerable evidence that green building certifications correlate with increased economic value primarily via higher rents and sales prices

bull How do we move beyond certification to analyze performancebull Correlation vs Causation

bull What is driving added value Is it green features and efficiency the green labels themselves or other desirable features often included in certified buildings

Panel studies could help reduce some of the uncertainty and noise Full results presented at ACEEE Summer Study

bull Raising the Rent Premium Moving Green Building Research Beyond Certifications and Rent

bull Cindy Zhu Andrew White Paul Mathew Jeff Deason Philip Coleman

Literature Review Results

Research Agenda Core QuestionldquoHow does ltenergygreen metricgt affect ltfinancial value metricgtrdquo

EnergyGreen Metric

Site energy use or EUI

Source energy use or EUI

Energy cost or costsf

ENERGY STAR score

ENERGY STAR label

Green Building Certification (LEED BOMA 360)

Green Building Certification level (eg LEED Silver Gold)

Financial Value Metric

VacancyOccupancy Sales Price

Leasing Velocity (absorption speed of sales leasing)

Regulatory amp Compliance Risk

Tenant Renewals Insurance (rates ability)

Tenant Satisfaction Default Risk

Rental Income and Rent Concessions Debt Service Coverage Ratio

Marketing Costs Access to Funding

Utility Costs Maintenance OpEx Interest Rates

Obsolescence Reserves

Capitalization Rates

12 proposals received 5 projects selected Criteria

bull Department of Energy goals

bull Impact on Commercial Real Estate (CRE) Industry

bull Feasibility and Interest

bull Quality and Validity

Proposal Reviews

Jim Clayton Avis Devine (York University) and Rogier Holtermans(University of Guelph) Analyzing four types of energy

efficiency interventions on financial components that impact property-level NOI

bull How do interventions impact different aspects of building operations and their subsequent financial impact

Beyond Environmental Building Certification The Impact of Environmental Interventions on Commercial Real Estate Operations

Piet Eichholtz and Nils Kok (Maastricht University) and RogierHoltermans (University of Guelph) Three key questions

bull How is environmental building certification related to commercial building energy consumption

bull How does aging affect the energy consumption of the commercial building stock

bull To what extent do specific energy efficiency investments affect energy consumption in commercial real estate

The Dynamics of Energy Consumption in Commercial Real Estate

Sofia Dermisi Chris Lee and YoungjinChoe (University of Washington) Exploring the effect of disclosure

policies on office building marketability while assessing potential links between market performance of sustainable assets

bull Before and after the disclosure policies while considering market cycles

bull Before and after ENERGY STAR andor LEED certification

Markets included San Francisco Washington DC

Effect of Energy Benchmarking and Disclosure on Office Building Marketability

Dirk Brounen (Tilburg University) and Gianluca Marcato (Reading University) Analyzing the adoption of GRESB within the public real estate markets and

predicting a potential impact of GRESB scores on REIT returns

Sustainable Insights and Public Real Estate Performance GRESB Effects in REIT Markets

Constantine Kontokosta (New York University) Franz Fuerst(Cambridge University) Gary Pivo (University of Arizona) amp Jacob Sagi (UNC Chapel Hill) Utilizing NYC data to empirically model

bull the spread between the premium for labeled (energy efficient) buildings and the cost to retrofit an under-performing building to meet the same standard which will allow us to understand how much of the observed premium is attributable to energy efficiency and how much can be assigned to other perceived benefits (marketing construction quality etc)

bull the hurdle rate for energy retrofit investments using actual audit data and permitted renovation work

Estimating Office and Residential Building Energy Retrofit Hurdle Rates and Risk Arbitrage in Energy Efficiency Investments

Collecting data for continued Data Lab analysis Presenting Research findings

bull Interim research results ndash IPC Research Symposium (October)bull Greenbuild Session (November)bull RERI Research Conference (April)bull Final research results ndash Better Buildings Webinars Summit 2019 (TBA)

Work with DOE case study and data analysis opportunities abound

Next Steps

Paul Mathew

Lawrence Berkeley National Laboratorypamathewlblgov

Paulo Issler

University of California Berkeleypauloisslerberkeleyedu

Erin Hopkins

Virginia Techerinz1vtedu

Andrew White

RE Tech Advisorsawhiteretechadvisorscom

Contact Info

  • Slide Number 1
  • Business Case 20 New Research Around High Performing Buildings
  • Panelists
  • Energy and Default Risk in Commercial Mortgages
  • Paulo Issler
  • Acknowledgements
  • The link between energy and CRE mortgages
  • Approach Impact of energy on default rate
  • Default risk and source EUI (cont)
  • Default risk and source EUI
  • Default risk and source EUI (cont)
  • Default risk and source EUI (cont)
  • What are the impacts on specific loans
  • Case Studies
  • Denver Office ndash energy use and default risk
  • Denver Office ndash energy price and default risk
  • Case Studies ndash summary of risks impacts
  • Case Studies ndash business impact
  • Looking Ahead
  • Looking Ahead ndash our vision
  • Recommendations
  • Slide Number 22
  • Money Matters Exploring the Financial Impacts of Green Certifications in the Multifamily Rental SectorErin A Hopkins PhD CAPS LEED Green AssociateAssistant Professor of Property Management
  • Overview of Research
  • Certifications Represented in Sample
  • Properties by City
  • Descriptive
  • Descriptive
  • Findings
  • Financial Impacts of Green
  • Discussion
  • Discussion
  • Final Thoughts
  • Slide Number 34
  • Slide Number 35
  • Context Setting ndash DOE Research Effort
  • RERI Overview
  • Literature Review Objectives
  • Literature Review Results
  • Literature Review Results
  • Research Agenda Core Question
  • Proposal Reviews
  • Beyond Environmental Building Certification The Impact of Environmental Interventions on Commercial Real Estate Operations
  • The Dynamics of Energy Consumption in Commercial Real Estate
  • Effect of Energy Benchmarking and Disclosure on Office Building Marketability
  • Sustainable Insights and Public Real Estate Performance GRESB Effects in REIT Markets
  • Estimating Office and Residential Building Energy Retrofit Hurdle Rates and Risk Arbitrage in Energy Efficiency Investments
  • Next Steps
  • Contact Info
Y Term ~Bias Estimate EXP estimate Practical Interpretation increasedecrease Std Error DFDen t Ratio Probgt|t| Log(Vacancies amp Rent Loss rentable sf) Log(Total Rents Collected rentable sf) Log(Total Actual Collections rentable sf) Log(Management Fee rentable sf) Log(Total Utilities Rentable sf) Log(MampR rentable sf) Log(Subtotal Maintenance rentable sf) Log(Property Insurance rentable sf) Log(Total All Expenses Rentable sf) Log(NOI Rentable sf) Concessions rentable sf
Log(Vacancies amp Rent Loss rentable sf) Intercept 00893029328 10934118365 934 06116337119 1083785495375 01460072116 08841869197 Green Certified (1=yes 0=no)[Yes] -00318 01047 00991
Log(Vacancies amp Rent Loss rentable sf) Green Certified (1=yes 0=no)[Yes] -0031825668 09686754385 -313 009164153 139931853592 -03472843369 07288994904 Gym (1=yes 0=no)[Yes] 01060 00708 00767
Log(Vacancies amp Rent Loss rentable sf) Gym (1=yes 0=no)[Yes] 01007730854 11060256399 1060 01479591517 1412043780621 0681087207 0496931725 Pool (1=yes 0=no)[Yes] 01126 00089 00131
Log(Vacancies amp Rent Loss rentable sf) Pool (1=yes 0=no)[Yes] 01125884395 11191712315 1192 0113345701 506840641957 09933190097 032527325 Outdoor Common Area (1=yes 0=no)[Yes] 02673 -00803 -00764
Log(Vacancies amp Rent Loss rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 02672618233 13063824429 3064 01690835398 1429144230275 15806495624 01161688791 Walk Score 00102 00065 00066
Log(Vacancies amp Rent Loss rentable sf) Walk Score 00101642302 10102160615 102 00040763935 1219632686439 24934369735 00139912712 of Unfurnished Apartments -00003 -00009 -00008
Log(Vacancies amp Rent Loss rentable sf) of Unfurnished Apartments -0000250981 09997490505 -003 00006011213 142449410245 -04175214322 06769256723 Average Apt Unit Size -00003 -00002 -00002
Log(Vacancies amp Rent Loss rentable sf) Average Apt Unit Size -00002575258 09997425074 -003 00004990119 1315989429881 -05160713681 06066705884 Age -00026 00008 00015
Log(Vacancies amp Rent Loss rentable sf) Age -00026152008 09973882158 -026 00056263988 1391583522195 -04648090107 06427946925 Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00099 00043 00252
Log(Vacancies amp Rent Loss rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00099001013 10099492694 099 0100821633 1384002310718 00981942166 09219201454
Log(Total Rents Collected rentable sf) Intercept 30195696974 204824761253 194825 04164909532 1420770663705 72500246992 0
Log(Total Rents Collected rentable sf) Green Certified (1=yes 0=no)[Yes] 00996165255 11047471944 1047
Hopkins Erin Hopkins Erincant provide a confidencd interval for it
00590542761 1286416575023 16868638818 0094053065
Log(Total Rents Collected rentable sf) Gym (1=yes 0=no)[Yes] 00684081888 10708023088 708 0096210834 1330244953516 07110237581 04783143732
Log(Total Rents Collected rentable sf) Pool (1=yes 0=no)[Yes] 00088712036 10089106694 089 00916333982 708572236354 00968119025 09231490817
Log(Total Rents Collected rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00836597449 09197441505 -803 01126005752 1404546011941 -07429779537 04587359136
Log(Total Rents Collected rentable sf) Walk Score 0006479206 10065002414 065 0002794287 1413201347208 23187331419 00218436949
Log(Total Rents Collected rentable sf) of Unfurnished Apartments -00008678845 0999132492 -009 00003932429 1359586026848 -22069932213 00289920945
Log(Total Rents Collected rentable sf) Average Apt Unit Size -00002078918 09997921298 -002 00003300088 1382568544162 -06299582685 05297616269
Log(Total Rents Collected rentable sf) Age 00008364704 10008368204 008 00037477419 1387794745176 02231931757 08237133506
Log(Total Rents Collected rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00042999624 10043092206 043 0069466499 142786243042 00618998008 09507291881
Log(Total Actual Collections rentable sf) Intercept 30681072891 215011686418 205012 04070110501 1415072794017 75381424868 0
Log(Total Actual Collections rentable sf) Green Certified (1=yes 0=no)[Yes] 00944491888 10990533175 991 00578900924 1291837028308 16315259643 01052148631
Log(Total Actual Collections rentable sf) Gym (1=yes 0=no)[Yes] 00739127176 10767128233 767 0094247393 1335821297113 07842415071 04342868782
Log(Total Actual Collections rentable sf) Pool (1=yes 0=no)[Yes] 00130418887 10131273051 131 00885804441 654593026021 01472321442 08834013324
Log(Total Actual Collections rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00794248992 0923647384 -764 01101507414 1410305976559 -07210564195 04720684016
Log(Total Actual Collections rentable sf) Walk Score 00065530115 10065745295 066 00027272037 14047408887 24028316857 00175745575
Log(Total Actual Collections rentable sf) of Unfurnished Apartments -0000833078 09991672689 -008 00003850262 1365168778586 -21636916411 00322285543
Log(Total Actual Collections rentable sf) Average Apt Unit Size -00002169447 09997830788 -002 00003233576 1393662972101 -06709126047 05033865944
Log(Total Actual Collections rentable sf) Age 00015178151 10015189676 015 0003670824 1398532082324 04134807595 06798877496
Log(Total Actual Collections rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00249154485 10252284322 252 0067842812 1423468871242 03672525904 07139760316
Log(Management Fee rentable sf) Intercept -02128803278 08082528568 -1917 04254329778 585619088893 -0500385111 06186792644
Log(Management Fee rentable sf) Green Certified (1=yes 0=no)[Yes] 0019865513 10200641454 201 00593086525 1354977267554 03349513461 07381797603
Log(Management Fee rentable sf) Gym (1=yes 0=no)[Yes] -00082052627 09918283086 -082 00958032958 1386068833723 -00856469772 09318706455
Log(Management Fee rentable sf) Pool (1=yes 0=no)[Yes] 00174275629 10175803089 176 00771880661 202180965349 02257805358 08236388274
Log(Management Fee rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00153191452 10154370848 154 01103651216 1423896402644 01388042255 08898009734
Log(Management Fee rentable sf) Walk Score 00070459229 10070708039 071 00028008303 805559990921 25156550566 0013868745
Log(Management Fee rentable sf) of Unfurnished Apartments -0001358177 09986427449 -014 00003916726 1421224837061 -34676335479 00006950146
Log(Management Fee rentable sf) Average Apt Unit Size -00005130214 09994871101 -005 00003375961 1007585612206 -15196307445 0131735624
Log(Management Fee rentable sf) Age 00013613923 10013623194 014 00037151697 1277713043957 03664414822 07146417588
Log(Management Fee rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -00674463479 09347778721 -652 00657081953 1299283630266 -10264525997 03065854809
Log(Total Utilities Rentable sf) Intercept -03748562337 06873880949 -3126 04464274077 1402143832266 -08396801522 04025171642
Log(Total Utilities Rentable sf) Green Certified (1=yes 0=no)[Yes] 00873163337 10912418217 912 0064576715 1358457024729 13521334071 01785794114
Log(Total Utilities Rentable sf) Gym (1=yes 0=no)[Yes] 01175979311 11247917766 1248 01048349264 1384172144229 11217438221 02639135776
Log(Total Utilities Rentable sf) Pool (1=yes 0=no)[Yes] 00115680134 10116351816 116 00928512423 72633370166 01245865221 09011950626
Log(Total Utilities Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00222539972 10225034645 225 01216524447 1425571484619 01829309493 0855112103
Log(Total Utilities Rentable sf) Walk Score 00068649233 10068885409 069 00029812807 1396033046894 23026759291 00227754146
Log(Total Utilities Rentable sf) of Unfurnished Apartments -00006773222 09993229071 -007 00004273761 1401067188346 -15848386198 01152575495
Log(Total Utilities Rentable sf) Average Apt Unit Size -00003442022 0999655857 -003 00003581401 1425120147852 -09610825805 03381384619
Log(Total Utilities Rentable sf) Age 00048795122 10048914364 049 00040600929 1425855030198 12018227897 02314244716
Log(Total Utilities Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -01198355423 08870663096 -1129 00742421382 1413320388001 -16141176043 01087323819
Log(MampR rentable sf) Intercept -09030689887 04053238148 -5947 0437858541 1384008312652 -20624674504 00410332652
Log(MampR rentable sf) Green Certified (1=yes 0=no)[Yes] 00937424436 10982768413 983 00639155521 1376081716673 14666609392 01447499128
Log(MampR rentable sf) Gym (1=yes 0=no)[Yes] 00037664885 10037735907 038 01036113865 1396450691334 00363520715 09710535435
Log(MampR rentable sf) Pool (1=yes 0=no)[Yes] 01319613595 11410642271 1411 00887446725 719561267791 14869778183 0141389644
Log(MampR rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00521515872 09491849716 -508 01197720975 1428478988157 -04354235112 06639122497
Log(MampR rentable sf) Walk Score 00110131704 10110740386 111 00029197236 1385662208531 37719907631 00002391344
Log(MampR rentable sf) of Unfurnished Apartments -00008849955 09991153959 -009 00004219429 1410140957414 -20974297602 0037740228
Log(MampR rentable sf) Average Apt Unit Size 00000594506 10000594524 001 0000353075 1429981472006 01683796031 08665225748
Log(MampR rentable sf) Age 0007624822 1007653965 077 00039990018 142990029884 19066812998 00585678315
Log(MampR rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00598131349 10616381449 616 00727173027 1406732379184 08225433659 04121598071
Log(Subtotal Maintenance rentable sf) Intercept -07997344997 04494482769 -5506 0489167182 1380935604874 -16348899298 01043496414
Log(Subtotal Maintenance rentable sf) Green Certified (1=yes 0=no)[Yes] 01180969773 11253532398 1254 00707986514 1348907221481 16680681771 00976219515
Log(Subtotal Maintenance rentable sf) Gym (1=yes 0=no)[Yes] 00409351965 10417845921 418 01148796072 1378640116803 03563312718 07221372278
Log(Subtotal Maintenance rentable sf) Pool (1=yes 0=no)[Yes] 01515780559 11636691295 1637 0100780712 617547240206 15040383505 01376688864
Log(Subtotal Maintenance rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -0078076377 09248937833 -751 01331885868 1426567369893 -05862092154 05586613077
Log(Subtotal Maintenance rentable sf) Walk Score 0011889233 10119601909 120 00032614069 1377504918879 36454307183 00003773801
Log(Subtotal Maintenance rentable sf) of Unfurnished Apartments -00008153416 09991849907 -008 00004682078 1398534995511 -17414095506 00838107083
Log(Subtotal Maintenance rentable sf) Average Apt Unit Size 00005083484 10005084776 005 00003930253 1428434249161 12934242295 01979520949
Log(Subtotal Maintenance rentable sf) Age 00104106727 10104650523 105 00044515054 1428449267664 23386858733 00207383998
Log(Subtotal Maintenance rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 02440298206 12763823925 2764 0081177414 1402563601749 30061295196 00031359748
Log(Property Insurance rentable sf) Intercept -08916874806 04099633635 -5900 04516384713 1429624291993 -19743390727 00502702101
Log(Property Insurance rentable sf) Green Certified (1=yes 0=no)[Yes] 01239058141 11319092561 1319 0062692592 1281678143933 19764027959 00502564371
Log(Property Insurance rentable sf) Gym (1=yes 0=no)[Yes] -0003522638 09964835593 -035 01024969537 1314939748594 -0034368221 09726356404
Log(Property Insurance rentable sf) Pool (1=yes 0=no)[Yes] 00227423743 10230029538 230 01040308572 1125700947624 02186118131 08273482928
Log(Property Insurance rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00155809876 10157030041 157 01206677853 1368483458399 01291230096 08974498986
Log(Property Insurance rentable sf) Walk Score 00072977866 10073244804 073 00030353828 1428602075435 24042392705 00174877086
Log(Property Insurance rentable sf) of Unfurnished Apartments -00010061941 09989943119 -010 0000420017 1337858380697 -23956034086 00179774093
Log(Property Insurance rentable sf) Average Apt Unit Size -00006330482 09993671521 -006 00003514502 1338864329416 -18012458048 0073914725
Log(Property Insurance rentable sf) Age 00009661099 10009665767 010 00039921418 1338497494964 02420028921 08091483095
Log(Property Insurance rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -00520208103 09493091112 -507 00749301111 1411273861679 -06942577501 04886618561
Log(Total All Expenses Rentable sf) Intercept 17410862845 57035357214 47035 03946731547 141889623796 44114636723 00000201648
Log(Total All Expenses Rentable sf) Green Certified (1=yes 0=no)[Yes] 01231722438 11310792255 1311 00565275641 1341244163534 21789766772 00310802733
Log(Total All Expenses Rentable sf) Gym (1=yes 0=no)[Yes] 00096244971 10096709615 097 00919378962 1370603130567 01046847658 09167789899
Log(Total All Expenses Rentable sf) Pool (1=yes 0=no)[Yes] 01610294116 11747195186 1747 00846545666 801516751987 19021940341 00607378863
Log(Total All Expenses Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00361842114 09644626121 -355 01071504659 1418739239709 -03376953252 07360919324
Log(Total All Expenses Rentable sf) Walk Score 00087371658 10087754463 088 00026426023 1411809488418 33062734678 00011989895
Log(Total All Expenses Rentable sf) of Unfurnished Apartments -00008720665 09991283137 -009 00003752966 1389800988186 -23236728617 00215934791
Log(Total All Expenses Rentable sf) Average Apt Unit Size -0000155413 0999844599 -002 00003145108 1409449329598 -0494142052 06219751067
Log(Total All Expenses Rentable sf) Age 00015666155 10015678433 016 00035695206 1412387206124 04388868073 06614142124
Log(Total All Expenses Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00157918953 10159172462 159 00657593447 1424551160559 02401467861 08105616925
Log(NOI Rentable sf) Intercept 27416093787 155119295878 145119 049686036 1426328429735 55178669889 0000000157
Log(NOI Rentable sf) Green Certified (1=yes 0=no)[Yes] 00932241108 10977077159 977 00701671113 1292740226257 13286012361 01863200879
Log(NOI Rentable sf) Gym (1=yes 0=no)[Yes] 0111280688 11177085902 1177 0114413579 13320261997 09726178396 03325061802
Log(NOI Rentable sf) Pool (1=yes 0=no)[Yes] -00608871507 0940929417 -591 01107002034 838263437204 -05500184174 05837693269
Log(NOI Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -01393113526 08699571229 -1300 01340931949 1397855428856 -10389144106 03006382455
Log(NOI Rentable sf) Walk Score 00045000262 10045101666 045 0003337636 1423581725818 13482675372 01797136327
Log(NOI Rentable sf) of Unfurnished Apartments -00007116645 09992885887 -007 00004679272 1358400867851 -15208872073 01306124688
Log(NOI Rentable sf) Average Apt Unit Size -00001937801 09998062387 -002 00003921685 1372175013367 -04941245389 06220083144
Log(NOI Rentable sf) Age 00034607088 1003466704 035 00044548378 1376438770548 07768428318 04385844885
Log(NOI Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00488697769 10500835966 501 00828565286 1429949688826 05898120243 0556247504
Concessions rentable sf Intercept 0091580439 10959049266 959 12772069558 1418541020247 00717036801 09429387231
Concessions rentable sf Green Certified (1=yes 0=no)[Yes] 01110697527 11174728508 1175 01814813765 1293641668833 06120173584 05416004511
Concessions rentable sf Gym (1=yes 0=no)[Yes] -05094051331 06008529 -3991 02955403985 1336296409402 -17236395961 00870857294
Concessions rentable sf Pool (1=yes 0=no)[Yes] -00886152984 09151975838 -848 02791864929 69298361986 -03174053928 07518903943
Concessions rentable sf Outdoor Common Area (1=yes 0=no)[Yes] 04576291372 15803228114 5803 03455726285 1408379747117 13242632646 01875606951
Concessions rentable sf Walk Score 00120688741 10121419968 121 00085630896 1409791646097 14094064916 01609170757
Concessions rentable sf of Unfurnished Apartments -00007045588 09992956894 -007 00012075862 1364744404696 -05834438741 05605574922
Concessions rentable sf Average Apt Unit Size -00003193903 09996806607 -003 00010135961 1389703034326 -03151061148 07531537379
Concessions rentable sf Age 00130223218 10131074815 131 00115086772 139464867267 11315220311 02597773256
Concessions rentable sf Building Mix (0=multifamily 1 = mixed-use)[Mixed] -03719888249 06893619462 -3106 02129597676 1426034459287 -17467563435 00828326573
Y Term Practical Interpretation increasedecrease Probgt|t| Total Rents Collected Subtotal Maintenance Property Insurance Total Expenses
Log(Total Rents Collected rentable sf) Green Certified (1=yes 0=no)[Yes] 1047
Hopkins Erin Hopkins Erincant provide a confidencd interval for it
009 130837635934 13311489362 01847683215 67633617021
Log(Subtotal Maintenance rentable sf) Green Certified (1=yes 0=no)[Yes] 1254 010 267662568114 08839769656 0489370035 133484365708
Log(Property Insurance rentable sf) Green Certified (1=yes 0=no)[Yes] 1319 005 44887430941 07758149459 02417429373 41261056301
Log(Total All Expenses Rentable sf) Green Certified (1=yes 0=no)[Yes] 1311 003 103066299601 12390720963 00474343371 5067818194
206907297628 2385711159 02072356932 9194606526
318766961061 22633758919 04452208547 128154919371
92461669878 09545425866 01280485733 38832017239
143925847783 15966970999 02187893202 54018796992
176714125561 02006495648 02876780533 58992020575
232897515382 0726170332 00787094673 69517596041
Non-green sf average Financial Green Impact sf Financial green impact differencesf Green impactapt Green impactproperty 51780910259 05203453537 00494304264 22609306646
178353784788 17547710996 02048626598 95961490345
Total Rents Collected sf 1047 2356 2603 $ 247 $ 2189 $ 551683 113769814112 12206875575 03432049607 118156743193
Subtotal Maintenance sf 1254 160 180 $ 020 $ 178 $ 44843 301239240258 10561596849 0204970258 110903994641
Property Insurance sf 1319 036 041 $ 005 $ 42 $ 10601 918584487 08376649832 00914663991 4146546939
Total Expenses sf 1311 852 963 $ 112 $ 990 $ 249535 265183769576 19294929362 03500602344 108447158033
226055903548 13557897255 03988791741 10971207244
334894587007 17970717884 05122599181 124640467569
5542518821 31394328066 04875650977 200668786372
112655732059 13445692884 02031297086 43995867235
129139526152 1168069688 00518980213 4651511283
Avg Apt Size Avg of Units 151098478261 13975 02004130435 51873478261
192155046737 21015937064 02616549091 8357602264
887 252 514840434082 52766375656 02375463267 174375582672
81421971535 06694487849 00899424521 2748686222
30246817244 21594341279 03308639536 97277207077
488523197409 27727612187 0646599696 130752346177
318750561687 38903340576 03852711795 142409683793
310384048163 43119745565 03335824966 138846874251
Green Certification Impacts 48578215663 0350218077 03095574205 23695139998
Dependent Variable Per Square Foot Per Apartment Per Property 192237574111 13374121765 02053242615 84027476689
Total Rents Collected $ 247 $ 2189 $ 551683 62979912788 05343191729 00816289996 45390243161
Subtotal Maintenance $ 020 $ 178 $ 44843 148378959661 14651715909 02004049722 80900580942
Property Insurance $ 005 $ 42 $ 10601 196798863889 11267176542 02499920663 90266351433
Total Expenses $ 112 $ 990 $ 249535 281508617823 09686995581 01118170881 119863342059
58584849751 0106864586 04187933949 44180073736
126756167712 1265684516 02796423029 87538414144
176550549412 24957340254 02343899179 88904473415
252421786235 28063734042 03142238564 133776179357
191875932907 13637043757 03440324697 987034902
159508092934 13109374847 02091697013 98967206196
342739845467 09614092295 03929892961 129755936769
192510355167 32804720611 01743191858 134560085596
257829360401 13666691797 01527100011 56329812754
358622391559 14251973427 03437553732 101098436889
217744157919 24046486586 01864745418 68711016642
222112557003 22022148788 07879755849 97807110765
202535763689 04548110217 10003436751 127886698915
155879815194 23816051158 04816227091 119033557201
11066078843 23413202706 06413902496 81812176347
151924709838 18873401649 05711000232 105403544539
163604010853 16052949068 02714509557 82030431823
133974400047 11018949984 03560839935 59096477943
133528448829 13647819036 02538331588 66159357367
187400008959 16889788117 030870974 115752907975
155246293804 18308314258 03852380906 116657595614
34082816218 05447090935 09838411173 13641308574
201220131342 11192465065 03188344246 93786154242
139108532616 13313944086 03887737775 69698295902
191656858207 15717927807 06002115982 119380046581
200921599083 12597596226 03267106334 82474085087
57536742874 00453219212 00300766262 10569757217
120548294116 11607892527 03275736725 74435143659
123188534664 1404028789 03510968138 78762080781
59543029729 0899713372 01652374748 28143456117
144215639215 19193238703 02899837711 67370054173
340046684831 19619729415 04325060698 120608464163
208244777176 28183367899 037 73104355304
234349752613 19432301154 0351134881 107484594815
136370903402 17029933791 01989576534 50899930579
149968383478 14209793679 02735642323 63813718869
81145819519 0920766851 00474564037 30674168785
226307446224 12529424404 02036192613 69235920453
132787305462 08047482453 01232346659 41808605432
251519090044 21798380428 0376480317 80396623551
492269138212 12196979039 02981674812 128316943664
107177195916 08016374211 0113808252 40618650625
128238528886 10751217142 01843492552 6476830365
57582611557 11908427448 0874334536 134004066235
43835651097 34822540694 03904989384 146763800425
205787355386 1429219053 02624404931 5321754079
463148430769 07709353846 06150738462 101617384615
377949548611 28670972222 08296944444 109743576389
360087564176 03501711352 18551055334 110041072447
18371979614 18232783153 07267294459 61184870906
678035276363 13443501226 10431616676 167533484248
56073359244 10138647576 01591318768 51440832304
189431314891 05101557395 03677787459 41010945328
383550342095 23244425576 04086557393 98151764619
115544349685 03310482653 037 40344851625
7552318246 0955023726 01241945851 24368780848
133083101881 19451300341 00938801919 48731378614
122308363087 13760780005 01439989014 45100624828
84908269322 10857071617 01155797799 36082570734
263116048067 10733627163 041902582 60372732395
76183752731 09621126305 01069925907 26170373239
172494454001 11781600332 03919686814 59016193131
342076422068 22741368431 03165622465 73557085549
215534567901 1485497076 02210396361 49118778428
314593058927 23798916958 02751353803 121998559501
586535191691 21029046354 02109026171 91979074439
138093310078 14595490221 02142269839 44286283792
227203645682 04584630891 05737147639 93344680527
572754455737 17713614269 01642228739 92545561671
60603870458 04541110154 01180884676 15902125521
358781017266 33847643857 06854022643 139200146946
342079216629 24477703832 0463059603 67166143833
651201231187 51019950176 12529595849 222094150831
369798669702 21700816928 0444474205 101410502507
421838575952 28823013788 05443272608 151399739597
626095189209 20826275416 04947814184 184651096472
214882899762 25034709712 06359683889 109534721722
274037120739 26718517094 037 67504928595
252667703737 25588590114 05379535858 109041874345
59253832495 01099622961 04620367393 19262874847
150862851538 18053109961 07398729558 71488607075
111196959019 00928417366 037 09427894164
667360269858 07921160191 02989609494 104670639024
2356 160 036 852
Log(Vacancies amp Rent Loss rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified -00318 00916 -00313 07289
Fitness Center 01008 01480 01060 04969
Pool 01126 01133 01192 03253
Outdoor Common Area 02673 01691 03064 01162
Walk Score 00102 00041 00102 00140
of Unfurnished Apartments -00003 00006 -00003 06769
Average Apt Unit Size -00003 00005 -00003 06067
Age -00026 00056 -00026 06428
Building Mix 00099 01008 00099 09219
Note R2 = 645
Log(Total Rents Collected rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00996 00591 01047 00941
Fitness Center 00684 00962 00708 04783
Pool 00089 00916 00089 09231
Outdoor Common Area -00837 01126 -00803 04587
Walk Score 00065 00028 00065 00218
of Unfurnished Apartments -00009 00004 -00009 00290
Average Apt Unit Size -00002 00003 -00002 05298
Age 00008 00037 00008 08237
Building Mix 00043 00695 00043 09507
Note R2 = 3318
Log(Total Actual Collections rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00944 00579 00991 01052
Fitness Center 00739 00942 00767 04343
Pool 00130 00886 00131 08834
Outdoor Common Area -00794 01102 -00764 04721
Walk Score 00066 00027 00066 00176
of Unfurnished Apartments -00008 00004 -00008 00322
Average Apt Unit Size -00002 00003 -00002 05034
Age 00015 00037 00015 06799
Building Mix 00249 00678 00252 07140
Note R2 = 3219
Log(Management Fee rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00199 00593 00201 07382
Fitness Center -00082 00958 -00082 09319
Pool 00174 00772 00176 08236
Outdoor Common Area 00153 01104 00154 08898
Walk Score 00070 00028 00071 00139
of Unfurnished Apartments -00014 00004 -00014 00007
Average Apt Unit Size -00005 00003 -00005 01317
Age 00014 00037 00014 07146
Building Mix -00674 00657 -00652 03066
Note R2 = 1697
Log(Total Utilities Rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00873 00646 00912 01786
Fitness Center 01176 01048 01248 02639
Pool 00116 00929 00116 09012
Outdoor Common Area 00223 01217 00225 08551
Walk Score 00069 00030 00069 00228
of Unfurnished Apartments -00007 00004 -00007 01153
Average Apt Unit Size -00003 00004 -00003 03381
Age 00049 00041 00049 02314
Building Mix -01198 00742 -01129 01087
Note R2 = 2171
Log(MampR rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00937 00639 00983 01447
Fitness Center 00038 01036 00038 09711
Pool 01320 00887 01411 01414
Outdoor Common Area -00522 01198 -00508 06639
Walk Score 00110 00029 00111 00002
of Unfurnished Apartments -00009 00004 -00009 00377
Average Apt Unit Size 00001 00004 00001 08665
Age 00076 00040 00077 00586
Building Mix 00598 00727 00616 04122
Note R2 = 2620
Log(Subtotal Maintenance rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 01181 00708 01254 00976
Fitness Center 00409 01149 00418 07221
Pool 01516 01008 01637 01377
Outdoor Common Area -00781 01332 -00751 05587
Walk Score 00119 00033 00120 00004
of Unfurnished Apartments -00008 00005 -00008 00838
Average Apt Unit Size 00005 00004 00005 01980
Age 00104 00045 00105 00207
Building Mix 02440 00812 02764 00031
Note R2 = 3218
Log(Property Insurance rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 01239 00627 01319 00503
Fitness Center -00035 01025 -00035 09726
Pool 00227 01040 00230 08273
Outdoor Common Area 00156 01207 00157 08974
Walk Score 00073 00030 00073 00175
of Unfurnished Apartments -00010 00004 -00010 00180
Average Apt Unit Size -00006 00004 -00006 00739
Age 00010 00040 00010 08091
Building Mix -00520 00749 -00507 04887
Note R2 = 3902
Log(Total All Expenses Rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 01232 00565 01311 00311
Fitness Center 00096 00919 00097 09168
Pool 01610 00847 01747 00607
Outdoor Common Area -00362 01072 -00355 07361
Walk Score 00087 00026 00088 00012
of Unfurnished Apartments -00009 00004 -00009 00216
Average Apt Unit Size -00002 00003 -00002 06220
Age 00016 00036 00016 06614
Building Mix 00158 00658 00159 08106
Note R2 = 2943
Log(NOI Rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00932 00702 00977 01863
Fitness Center 01113 01144 01177 03325
Pool -00609 01107 -00591 05838
Outdoor Common Area -01393 01341 -01300 03006
Walk Score 00045 00033 00045 01797
of Unfurnished Apartments -00007 00005 -00007 01306
Average Apt Unit Size -00002 00004 -00002 06220
Age 00035 00045 00035 04386
Building Mix 00489 00829 00501 05562
Note R2 = 3669
Concessions rentable sf
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 01111 01815 01175 05416
Fitness Center -05094 02955 -03991 00871
Pool -00886 02792 -00848 07519
Outdoor Common Area 04576 03456 05803 01876
Walk Score 00121 00086 00121 01609
of Unfurnished Apartments -00007 00012 -00007 05606
Average Apt Unit Size -00003 00010 -00003 07532
Age 00130 00115 00131 02598
Building Mix -03720 02130 -03106 00828
Note R2 = 2402
Y Term ~Bias Estimate EXP estimate Practical Interpretation increasedecrease Std Error DFDen t Ratio Probgt|t| Estimate Std Error Practical Interpretation Significance
Log(Vacancies amp Rent Loss rentable sf) Intercept 00893029328 10934118365 934 06116337119 1083785495375 01460072116 08841869197 Green Cert
Log(Vacancies amp Rent Loss rentable sf) Green Certified (1=yes 0=no)[Yes] -0031825668 09686754385 -313 009164153 139931853592 -03472843369 07288994904 Gym
Log(Vacancies amp Rent Loss rentable sf) Gym (1=yes 0=no)[Yes] 01007730854 11060256399 1060 01479591517 1412043780621 0681087207 0496931725
Log(Vacancies amp Rent Loss rentable sf) Pool (1=yes 0=no)[Yes] 01125884395 11191712315 1192 0113345701 506840641957 09933190097 032527325
Log(Vacancies amp Rent Loss rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 02672618233 13063824429 3064 01690835398 1429144230275 15806495624 01161688791
Log(Vacancies amp Rent Loss rentable sf) Walk Score 00101642302 10102160615 102 00040763935 1219632686439 24934369735 00139912712
Log(Vacancies amp Rent Loss rentable sf) of Unfurnished Apartments -0000250981 09997490505 -003 00006011213 142449410245 -04175214322 06769256723
Log(Vacancies amp Rent Loss rentable sf) Average Apt Unit Size -00002575258 09997425074 -003 00004990119 1315989429881 -05160713681 06066705884
Log(Vacancies amp Rent Loss rentable sf) Age -00026152008 09973882158 -026 00056263988 1391583522195 -04648090107 06427946925
Log(Vacancies amp Rent Loss rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00099001013 10099492694 099 0100821633 1384002310718 00981942166 09219201454
Log(Total Rents Collected rentable sf) Intercept 30195696974 204824761253 194825 04164909532 1420770663705 72500246992 0
Log(Total Rents Collected rentable sf) Green Certified (1=yes 0=no)[Yes] 00996165255 11047471944 1047
Hopkins Erin Hopkins Erincant provide a confidencd interval for it
00590542761 1286416575023 16868638818 0094053065 0099617 00590542761 1047
Log(Total Rents Collected rentable sf) Gym (1=yes 0=no)[Yes] 00684081888 10708023088 708 0096210834 1330244953516 07110237581 04783143732
Log(Total Rents Collected rentable sf) Pool (1=yes 0=no)[Yes] 00088712036 10089106694 089 00916333982 708572236354 00968119025 09231490817
Log(Total Rents Collected rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00836597449 09197441505 -803 01126005752 1404546011941 -07429779537 04587359136
Log(Total Rents Collected rentable sf) Walk Score 0006479206 10065002414 065 0002794287 1413201347208 23187331419 00218436949
Log(Total Rents Collected rentable sf) of Unfurnished Apartments -00008678845 0999132492 -009 00003932429 1359586026848 -22069932213 00289920945 variance components to talk about how much of the total error that is attribuatle to city
Log(Total Rents Collected rentable sf) Average Apt Unit Size -00002078918 09997921298 -002 00003300088 1382568544162 -06299582685 05297616269
Log(Total Rents Collected rentable sf) Age 00008364704 10008368204 008 00037477419 1387794745176 02231931757 08237133506
Log(Total Rents Collected rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00042999624 10043092206 043 0069466499 142786243042 00618998008 09507291881
Log(Total Actual Collections rentable sf) Intercept 30681072891 215011686418 205012 04070110501 1415072794017 75381424868 0
Log(Total Actual Collections rentable sf) Green Certified (1=yes 0=no)[Yes] 00944491888 10990533175 991 00578900924 1291837028308 16315259643 01052148631
Log(Total Actual Collections rentable sf) Gym (1=yes 0=no)[Yes] 00739127176 10767128233 767 0094247393 1335821297113 07842415071 04342868782
Log(Total Actual Collections rentable sf) Pool (1=yes 0=no)[Yes] 00130418887 10131273051 131 00885804441 654593026021 01472321442 08834013324
Log(Total Actual Collections rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00794248992 0923647384 -764 01101507414 1410305976559 -07210564195 04720684016
Log(Total Actual Collections rentable sf) Walk Score 00065530115 10065745295 066 00027272037 14047408887 24028316857 00175745575
Log(Total Actual Collections rentable sf) of Unfurnished Apartments -0000833078 09991672689 -008 00003850262 1365168778586 -21636916411 00322285543
Log(Total Actual Collections rentable sf) Average Apt Unit Size -00002169447 09997830788 -002 00003233576 1393662972101 -06709126047 05033865944
Log(Total Actual Collections rentable sf) Age 00015178151 10015189676 015 0003670824 1398532082324 04134807595 06798877496
Log(Total Actual Collections rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00249154485 10252284322 252 0067842812 1423468871242 03672525904 07139760316
Log(Management Fee rentable sf) Intercept -02128803278 08082528568 -1917 04254329778 585619088893 -0500385111 06186792644
Log(Management Fee rentable sf) Green Certified (1=yes 0=no)[Yes] 0019865513 10200641454 201 00593086525 1354977267554 03349513461 07381797603
Log(Management Fee rentable sf) Gym (1=yes 0=no)[Yes] -00082052627 09918283086 -082 00958032958 1386068833723 -00856469772 09318706455
Log(Management Fee rentable sf) Pool (1=yes 0=no)[Yes] 00174275629 10175803089 176 00771880661 202180965349 02257805358 08236388274
Log(Management Fee rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00153191452 10154370848 154 01103651216 1423896402644 01388042255 08898009734
Log(Management Fee rentable sf) Walk Score 00070459229 10070708039 071 00028008303 805559990921 25156550566 0013868745
Log(Management Fee rentable sf) of Unfurnished Apartments -0001358177 09986427449 -014 00003916726 1421224837061 -34676335479 00006950146
Log(Management Fee rentable sf) Average Apt Unit Size -00005130214 09994871101 -005 00003375961 1007585612206 -15196307445 0131735624
Log(Management Fee rentable sf) Age 00013613923 10013623194 014 00037151697 1277713043957 03664414822 07146417588
Log(Management Fee rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -00674463479 09347778721 -652 00657081953 1299283630266 -10264525997 03065854809
Log(Total Utilities Rentable sf) Intercept -03748562337 06873880949 -3126 04464274077 1402143832266 -08396801522 04025171642
Log(Total Utilities Rentable sf) Green Certified (1=yes 0=no)[Yes] 00873163337 10912418217 912 0064576715 1358457024729 13521334071 01785794114
Log(Total Utilities Rentable sf) Gym (1=yes 0=no)[Yes] 01175979311 11247917766 1248 01048349264 1384172144229 11217438221 02639135776
Log(Total Utilities Rentable sf) Pool (1=yes 0=no)[Yes] 00115680134 10116351816 116 00928512423 72633370166 01245865221 09011950626
Log(Total Utilities Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00222539972 10225034645 225 01216524447 1425571484619 01829309493 0855112103
Log(Total Utilities Rentable sf) Walk Score 00068649233 10068885409 069 00029812807 1396033046894 23026759291 00227754146
Log(Total Utilities Rentable sf) of Unfurnished Apartments -00006773222 09993229071 -007 00004273761 1401067188346 -15848386198 01152575495
Log(Total Utilities Rentable sf) Average Apt Unit Size -00003442022 0999655857 -003 00003581401 1425120147852 -09610825805 03381384619
Log(Total Utilities Rentable sf) Age 00048795122 10048914364 049 00040600929 1425855030198 12018227897 02314244716
Log(Total Utilities Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -01198355423 08870663096 -1129 00742421382 1413320388001 -16141176043 01087323819
Log(MampR rentable sf) Intercept -09030689887 04053238148 -5947 0437858541 1384008312652 -20624674504 00410332652
Log(MampR rentable sf) Green Certified (1=yes 0=no)[Yes] 00937424436 10982768413 983 00639155521 1376081716673 14666609392 01447499128
Log(MampR rentable sf) Gym (1=yes 0=no)[Yes] 00037664885 10037735907 038 01036113865 1396450691334 00363520715 09710535435
Log(MampR rentable sf) Pool (1=yes 0=no)[Yes] 01319613595 11410642271 1411 00887446725 719561267791 14869778183 0141389644
Log(MampR rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00521515872 09491849716 -508 01197720975 1428478988157 -04354235112 06639122497
Log(MampR rentable sf) Walk Score 00110131704 10110740386 111 00029197236 1385662208531 37719907631 00002391344
Log(MampR rentable sf) of Unfurnished Apartments -00008849955 09991153959 -009 00004219429 1410140957414 -20974297602 0037740228
Log(MampR rentable sf) Average Apt Unit Size 00000594506 10000594524 001 0000353075 1429981472006 01683796031 08665225748
Log(MampR rentable sf) Age 0007624822 1007653965 077 00039990018 142990029884 19066812998 00585678315
Log(MampR rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00598131349 10616381449 616 00727173027 1406732379184 08225433659 04121598071
Log(Subtotal Maintenance rentable sf) Intercept -07997344997 04494482769 -5506 0489167182 1380935604874 -16348899298 01043496414
Log(Subtotal Maintenance rentable sf) Green Certified (1=yes 0=no)[Yes] 01180969773 11253532398 1254 00707986514 1348907221481 16680681771 00976219515
Log(Subtotal Maintenance rentable sf) Gym (1=yes 0=no)[Yes] 00409351965 10417845921 418 01148796072 1378640116803 03563312718 07221372278
Log(Subtotal Maintenance rentable sf) Pool (1=yes 0=no)[Yes] 01515780559 11636691295 1637 0100780712 617547240206 15040383505 01376688864
Log(Subtotal Maintenance rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -0078076377 09248937833 -751 01331885868 1426567369893 -05862092154 05586613077
Log(Subtotal Maintenance rentable sf) Walk Score 0011889233 10119601909 120 00032614069 1377504918879 36454307183 00003773801
Log(Subtotal Maintenance rentable sf) of Unfurnished Apartments -00008153416 09991849907 -008 00004682078 1398534995511 -17414095506 00838107083
Log(Subtotal Maintenance rentable sf) Average Apt Unit Size 00005083484 10005084776 005 00003930253 1428434249161 12934242295 01979520949
Log(Subtotal Maintenance rentable sf) Age 00104106727 10104650523 105 00044515054 1428449267664 23386858733 00207383998
Log(Subtotal Maintenance rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 02440298206 12763823925 2764 0081177414 1402563601749 30061295196 00031359748
Log(Property Insurance rentable sf) Intercept -08916874806 04099633635 -5900 04516384713 1429624291993 -19743390727 00502702101
Log(Property Insurance rentable sf) Green Certified (1=yes 0=no)[Yes] 01239058141 11319092561 1319 0062692592 1281678143933 19764027959 00502564371
Log(Property Insurance rentable sf) Gym (1=yes 0=no)[Yes] -0003522638 09964835593 -035 01024969537 1314939748594 -0034368221 09726356404
Log(Property Insurance rentable sf) Pool (1=yes 0=no)[Yes] 00227423743 10230029538 230 01040308572 1125700947624 02186118131 08273482928
Log(Property Insurance rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00155809876 10157030041 157 01206677853 1368483458399 01291230096 08974498986
Log(Property Insurance rentable sf) Walk Score 00072977866 10073244804 073 00030353828 1428602075435 24042392705 00174877086
Log(Property Insurance rentable sf) of Unfurnished Apartments -00010061941 09989943119 -010 0000420017 1337858380697 -23956034086 00179774093
Log(Property Insurance rentable sf) Average Apt Unit Size -00006330482 09993671521 -006 00003514502 1338864329416 -18012458048 0073914725
Log(Property Insurance rentable sf) Age 00009661099 10009665767 010 00039921418 1338497494964 02420028921 08091483095
Log(Property Insurance rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -00520208103 09493091112 -507 00749301111 1411273861679 -06942577501 04886618561
Log(Total All Expenses Rentable sf) Intercept 17410862845 57035357214 47035 03946731547 141889623796 44114636723 00000201648
Log(Total All Expenses Rentable sf) Green Certified (1=yes 0=no)[Yes] 01231722438 11310792255 1311 00565275641 1341244163534 21789766772 00310802733
Log(Total All Expenses Rentable sf) Gym (1=yes 0=no)[Yes] 00096244971 10096709615 097 00919378962 1370603130567 01046847658 09167789899
Log(Total All Expenses Rentable sf) Pool (1=yes 0=no)[Yes] 01610294116 11747195186 1747 00846545666 801516751987 19021940341 00607378863
Log(Total All Expenses Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00361842114 09644626121 -355 01071504659 1418739239709 -03376953252 07360919324
Log(Total All Expenses Rentable sf) Walk Score 00087371658 10087754463 088 00026426023 1411809488418 33062734678 00011989895
Log(Total All Expenses Rentable sf) of Unfurnished Apartments -00008720665 09991283137 -009 00003752966 1389800988186 -23236728617 00215934791
Log(Total All Expenses Rentable sf) Average Apt Unit Size -0000155413 0999844599 -002 00003145108 1409449329598 -0494142052 06219751067
Log(Total All Expenses Rentable sf) Age 00015666155 10015678433 016 00035695206 1412387206124 04388868073 06614142124
Log(Total All Expenses Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00157918953 10159172462 159 00657593447 1424551160559 02401467861 08105616925
Log(NOI Rentable sf) Intercept 27416093787 155119295878 145119 049686036 1426328429735 55178669889 0000000157
Log(NOI Rentable sf) Green Certified (1=yes 0=no)[Yes] 00932241108 10977077159 977 00701671113 1292740226257 13286012361 01863200879
Log(NOI Rentable sf) Gym (1=yes 0=no)[Yes] 0111280688 11177085902 1177 0114413579 13320261997 09726178396 03325061802
Log(NOI Rentable sf) Pool (1=yes 0=no)[Yes] -00608871507 0940929417 -591 01107002034 838263437204 -05500184174 05837693269
Log(NOI Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -01393113526 08699571229 -1300 01340931949 1397855428856 -10389144106 03006382455
Log(NOI Rentable sf) Walk Score 00045000262 10045101666 045 0003337636 1423581725818 13482675372 01797136327
Log(NOI Rentable sf) of Unfurnished Apartments -00007116645 09992885887 -007 00004679272 1358400867851 -15208872073 01306124688
Log(NOI Rentable sf) Average Apt Unit Size -00001937801 09998062387 -002 00003921685 1372175013367 -04941245389 06220083144
Log(NOI Rentable sf) Age 00034607088 1003466704 035 00044548378 1376438770548 07768428318 04385844885
Log(NOI Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00488697769 10500835966 501 00828565286 1429949688826 05898120243 0556247504
Concessions rentable sf Intercept 0091580439 10959049266 959 12772069558 1418541020247 00717036801 09429387231
Concessions rentable sf Green Certified (1=yes 0=no)[Yes] 01110697527 11174728508 1175 01814813765 1293641668833 06120173584 05416004511
Concessions rentable sf Gym (1=yes 0=no)[Yes] -05094051331 06008529 -3991 02955403985 1336296409402 -17236395961 00870857294
Concessions rentable sf Pool (1=yes 0=no)[Yes] -00886152984 09151975838 -848 02791864929 69298361986 -03174053928 07518903943
Concessions rentable sf Outdoor Common Area (1=yes 0=no)[Yes] 04576291372 15803228114 5803 03455726285 1408379747117 13242632646 01875606951
Concessions rentable sf Walk Score 00120688741 10121419968 121 00085630896 1409791646097 14094064916 01609170757
Concessions rentable sf of Unfurnished Apartments -00007045588 09992956894 -007 00012075862 1364744404696 -05834438741 05605574922
Concessions rentable sf Average Apt Unit Size -00003193903 09996806607 -003 00010135961 1389703034326 -03151061148 07531537379
Concessions rentable sf Age 00130223218 10131074815 131 00115086772 139464867267 11315220311 02597773256
Concessions rentable sf Building Mix (0=multifamily 1 = mixed-use)[Mixed] -03719888249 06893619462 -3106 02129597676 1426034459287 -17467563435 00828326573
Page 6: AUGUST 21- 23, 2018 • CLEVELAND, OHIO€¦ · Business Case 2.0: New Research Around High Performing Buildings Thursday 23 rd, 2018 10:30am – 12:00pm

Acknowledgements Holly Carr (US DOE) Cindy Zhu (US DOE)

Philip Coleman (LBNL) Jeff Deason (LBNL) Tianzhen Hong (LBNL) Paulo Issler (UCB) Paul Mathew (LBNL) Emily McLaughlin (IMT) Baptiste Ravache (LBNL) Kaiyu Sun (LBNL) Nancy Wallace (UCB)

6

The link between energy and CRE mortgages Net Operating Income (NOI) the key financial measure for CRE valuation and mortgage risk Energy cost is one of the largest components of Net Operating Income (NOI)

Energy prices are highly volatile Poor CRE property management can severely impact energy consumption

Current practice does not fully account for these factors in calculation of Net Operating Income (NOI) Usually based on historical average cost data if available Does not account for energy use and price volatility during mortgage term

Key question How much do these factors ldquomove the needlerdquo for NOI and default risk

Energy Use VolumeElectricity kWhkW fuel therms etc

Driven by bldg features operations climate

Energy Use Volatility+- change over mortgage term

Driven by bldg operations weather variation

Energy Price$kWh $kW $therm

Set by rate structure

Energy Price Volatility+- change over mortgage term

Driven by rate structure forward price curves

7

Approach Impact of energy on default rateMortgage Default Rate = f (EUI ElecPriceGap CouponSpread LTV Region more controlshellip)

TREPPLoan Dataset

geocode

Benchmark Disclosure

Dataset

Expanded Benchmark Disclosure

match

Combined TREPP mortgage performance and Benchmarking Disclosure Datasets

ISO ElectricityHH Nat Gas

Datasets

match amp calc

Interest Rate Proxy

Dataset

match amp calc

Empirical analysis combiningbull Mortgage loan data (TREPP) bull Energy use data (Benchmarking disclosure)

8

Default risk and source EUI (cont)

The coefficient estimates for BOTH the Electricity Price Gap and Source EUI are significant at better than the 05 level of statistical significance

bull The higher the Source EUI (the more energy usage per square foot) the higher the likelihood of default

bull The higher the Electricity Price Gap (the larger the difference between the actual and the expected electricity prices since the loan origination) the higher the likelihood of default

Office + Retail ndash Linear probability model

9

Default risk and source EUI

Coefficient Estimate Standard Error

Intercept -040444 018466Log Source EUI 007335 003129

Origination Loan-to-Value Ratio 000258 000096

Coupon Spread to 10 Year Treasury 002188 001565

Electricity Price Gap 000003 000001

Time to Maturity on Balloon -000189 000060

Origination Year Fixed Effects Yes

473 observations R2 = 1052 plt01 plt005 plt001

Office + Retail ndash Linear probability model

10

Default risk and source EUI (cont)

Coefficient estimates are significant and robust for three cohorts all buildings Office + multiuse + retail office only Coefficient estimates for electricity price gap significant for all buildings

office + multiuse + retail Consistent results for linear probability and logistic regression models

11

Analysis using Scaled Source EUI ndash Linear probability model

Ratio of Source EUI to NOI(floor area)

Default risk and source EUI (cont)

Coefficient Estimate Standard Error

Intercept -000538 011067Scaled Source EUI 000183 0000369

Origination Loan-to-Value Ratio 000263 000117

Coupon Spread to 10 Year Treasury 000751 0040

Electricity Price Gap 000003 000001

Time to Maturity on Balloon -000203 000068

Origination Year Fixed Effects Yes

339 observations R2 = 1768 plt01 plt005 plt001

Scaled Source EUI (Office + MU + Retail) ndash Linear probability model

12

What are the impacts on specific loansCollaborate with lenders to 1 Demonstrate impact of energy use and price on specific mortgage loans2 Develop recommendations

Approach Compile info from Appraisals PCAs

other sources Estimate source EUI variations

Simulation and empirical approaches

Compute electricity price gap using forward curves

Compute default risk impact due to source EUI and electricity price gap

13

Case Studies

Denver Office

Denver Hotel

San Francisco Multi-family

San Jose Office Sonoma Office

Denver Office ndash energy use and default riskFacilities Management factors HVAC schedule Thermostat setback Supply air temp control VAV min flow control Economizer controls Lighting controlsLevels good average poor

Occupancy factors Occupant density Occupant schedule Plug load density Plug load controlsLevels goodlow average poorhigh

CaseFacilities mgmtfactors

OccupancyFactors

Source EUI change ()

Default risk change (bp)

1 Good GoodLow -54 -248

2 Good Ave -33 -127

3 Ave Ave - -

4 Good PoorHigh +4 +12

5 Poor GoodLow +64 +158

6 Poor Ave +76 +181

7 Poor PoorHigh +132 +268

15

Denver Office ndash energy price and default risk

16

Case Studies ndash summary of risks impacts

Building Source EUI variation ()

Default rate variation (bp)

Default rate variation relative to TREPP avg ()

Denver Office -54 to +132 -248 to +268 -31 to +34

Sonoma Office -40 to +183 -161 to +331 -20 to +41

San Jose Office -62 to +119 -308 to +249 -39 to +31

Denver Hotel -11 to +17 -37 to +49 -5 to +6

San Francisco Multi-family -20 to +26 -72 to +74 -9 to +9

Wholesale price region Default rate variation (bp) Default rate variation relative to TREPP avg ()

Denver area +159 to +501 +20 to +63

Northern California -49 to +705 -6 to +88

Compare to TREPP average default rate of 800bp

17

Case Studies ndash business impactThese results showing the impact of energy on default risk are clearly meaningful I dont currently consider energy efficiency when making a loan and seeing this makes me think I would want to ask about itrdquo

I would like to apply these findings but would want an easy way to use it A simple score or ratio for energy risk would be good In fact I would be interested to pilot test it

Keith Hanley Silicon Valley Bank

18

Looking Ahead

Looking Ahead ndash our visionTo have energy factors fully and routinely incorporated in commercial mortgage valuation accelerating demand for buildings with lower energy risk

20

Show that energy matters

Develop and pilot

interventions Disseminate

best practices Institutionalize

Analysis of energy impacts

Long term

Case studies on actual mortgage loans

Protocols and tools for lenders and owners

Industry Standards

Scope of current effort

RecommendationsLenders Ask owners to provide info on energy cost range

Account for variations in energy use and energy price Could be done as part of Property Condition Assessment Can reference ASTM standard

Incorporate energy risk factor into underwriting and terms eg Interest rate discount for lower risk

Offer additional loan proceeds for EE investments

Owners Ask lenders to account for energy efficiency when setting mortgage

terms Provide data on energy costs to lender

Historical and anticipated In appraisal andor PCA

21

Thank you

Money Matters Exploring the Financial Impacts of Green Certifications in the Multifamily Rental Sector

Erin A Hopkins PhD CAPS LEED Green AssociateAssistant Professor of Property Management

bull Sample 153 properties from 2 of National Multifamily Housing Councilrsquos 2016 50 Largest Apartment Managers

bull Green-certified 2288 of properties (35 properties)bull Methodology Multiple Regression Analysisbull Controls Location Fitness Center Pool Outdoor Common Area Walk

Score of Unfurnished Apartments Average Apartment Unit Size Age Building Mix

bull Limitations Building class not directly taken into account

Overview of Research

Certifications Represented in Sample

Austin Energy Green Buildingreg (AEGB)

Rating System(3)

ENERGY STARreg

(1)

Florida Green Building Coalition

(FGBC)(1)

GreenPoint Rated(4)

LEEDreg

(16)

National Green Building Standardtrade

(NGBS)(11)

Properties by City

2

4

2 2 21 1

3

1 1 12 2

1 1 1

6

1 1

8

11

4

6

14

3

1

19

3

1 1

7

43

2

9

18

2 2

0

2

4

6

8

10

12

14

16

18

20

Summary Statistics of City Datan=153

Summary Satistics of City Data Green Bldgs Summary Satistics of City Data Non-Green Comparables

Descriptive

97

71

100

31

89

69

93

24

0

20

40

60

80

100

120

Fitness Center Pool Outdoor Common Area Mixed-Use Property

Summary Statistics of Green vs Non-Green Propertiesn = 153

Green Non-Green

Descriptive

73228

866

2011

74

259

894

2003

0

500

1000

1500

2000

2500

Walk Score Average Number of Units Average Apt Unit Size (sf) Age

Summary Statistics of Green vs Non-Green Properties

n = 153

Green Non-Green

Findings

Total Rents Collected1047

Total Maintenance1254

Property Insurance1319

Total Expenses1311

Higher rents and expenses

Financial Impacts of Green

Dependent Variable Per Square Foot Per Apartment Per PropertyTotal Rents Collected 247$ 2189$ 551683$ Subtotal Maintenance 020$ 178$ 44843$ Property Insurance 005$ 42$ 10601$ Total Expenses 112$ 990$ 249535$

Coefficients Standard Errors

Tables

Summary of Green Impacts

Summary Table

Discussion

bull Assume efficient operations will offset the higher rent

bull Philanthropic motivesbull Prestige motivesbull Green buildings tend to be newermore

likely to offer the more sought-after amenities and finishes

bull Tend to be in higher-income areaslikely have higher rents

Different motivations for paying higher rent may be in

play

Discussion

Higher Operating Expenses a Surprise

Does not align with much of the existing researchhellipbut no research on effects of green certification on total operating expenses within multifamily rental sector

Many of the certifications represented in this study focus on the design phase of the property vs the operations and maintenance phase

And although promotion of sustainability is on the rise in the multifamily housing sector staff may remain unfamiliar with the unique operations and maintenance of green

buildings

Final Thoughts

Apartment homes represent $13 trillion to the US economy and 5 million new rental households are expected by 2023 (National Multifamily Housing Council 2015)

Upfront capital constraints regulatory issues knowledge limitations and marketing concerns may diminish the attractiveness of multifamily rental green building

certification if not properly managed

Most studies focus on office sector andor strictly rents or property value

This study begins to look at the multifamily rental sector and offer a more comprehensive analysis

Further research is needed with larger datasets to understand effects of green certification on income statement components in the apartment industry as NOI

ultimately determines property market valueOptimism that this study can be the impetus for further research contributions on the

financial environmental and resident satisfaction impacts of green practices and certifications on the multifamily rental sector

Contact informationErin A Hopkinserinz1vtedu

Acknowledgementsbull Todd Feist Sustainability Program Manager at The Institute of

Real Estate Management (IREMreg) for his assistance with this research project

bull Yardi and IREMreg for the grant awarded to support this researchbull The two property management companies for sharing their data

BUILDING PERFORMANCE

UNLOCKINGVALUE

New DOE-driven Research Around High Performing Buildings

AUGUST 23 2018

ANDREW WHITEASSOCIATE MANAGERawhiteretechadvisorscom

2015-2016 bull Research design working group pilot study data lab

2017 bull Connect to Real Estate Research Institute (RERI) Literature review and gap analysis

2018 bull Research agenda request for proposals research project selection and execution

Context Setting ndash DOE Research EffortWhat are the impacts of energy efficiency and high-performance building

features on financial performance of commercial real estate

RERIrsquos mission is to encourage and reward research on real estate as an investment and as an asset class that is both academically rigorous and of value to the institutional real estate investment profession In addition RERI serves to provide a forum through which the real estate academic professional and regulatory communities can interact facilitating the exchange of insights amongst these stakeholders

RERI Overview

Sponsors

Build upon DOErsquos Review of Studies in the Market

bull Focus explicitly on peer-reviewed papers Gap analysis of existing research to

identifybull Questions that have already been

sufficiently provenbull Holes in existing body of research

Academic Inputbull Guidance on which studies to includebull Suggestions for how to conduct analysis

Literature Review Objectives

Literature Review Results

LEED

ENER

GY

ST

AR

labe

l

ENER

GY

ST

AR

sc

ore

Ener

gy u

se

BR

EEA

M

Ener

gy

Perf

orm

anc

e Cer

tific

ates

(U

K)

BO

MA

B

EST

Wal

kabi

lity

Non

-ene

rgy

gree

n fe

atur

es

Oth

er

Rent 20 18 1 2 2 2 1 1 1Rent concessions 1 1 1Sales price 9 11 1 1 1 1Assessed value 2 2Market value 1 2 1 2 1Occupancy 10 9 1Lease renewals 1 1 1Service charge 1Operating cost 2 3Energy cost 2 3Tenant satisfaction 1 1 1Sales time 1 1Default rate 2 1Capitalization rate 1 2 2 1Net operating income 1 1 1Loan to value ratio 1 1Debt service coverage ratio 1 1Worker productivity 1 1Other 5 4 1 4 2 2

There is considerable evidence that green building certifications correlate with increased economic value primarily via higher rents and sales prices

bull How do we move beyond certification to analyze performancebull Correlation vs Causation

bull What is driving added value Is it green features and efficiency the green labels themselves or other desirable features often included in certified buildings

Panel studies could help reduce some of the uncertainty and noise Full results presented at ACEEE Summer Study

bull Raising the Rent Premium Moving Green Building Research Beyond Certifications and Rent

bull Cindy Zhu Andrew White Paul Mathew Jeff Deason Philip Coleman

Literature Review Results

Research Agenda Core QuestionldquoHow does ltenergygreen metricgt affect ltfinancial value metricgtrdquo

EnergyGreen Metric

Site energy use or EUI

Source energy use or EUI

Energy cost or costsf

ENERGY STAR score

ENERGY STAR label

Green Building Certification (LEED BOMA 360)

Green Building Certification level (eg LEED Silver Gold)

Financial Value Metric

VacancyOccupancy Sales Price

Leasing Velocity (absorption speed of sales leasing)

Regulatory amp Compliance Risk

Tenant Renewals Insurance (rates ability)

Tenant Satisfaction Default Risk

Rental Income and Rent Concessions Debt Service Coverage Ratio

Marketing Costs Access to Funding

Utility Costs Maintenance OpEx Interest Rates

Obsolescence Reserves

Capitalization Rates

12 proposals received 5 projects selected Criteria

bull Department of Energy goals

bull Impact on Commercial Real Estate (CRE) Industry

bull Feasibility and Interest

bull Quality and Validity

Proposal Reviews

Jim Clayton Avis Devine (York University) and Rogier Holtermans(University of Guelph) Analyzing four types of energy

efficiency interventions on financial components that impact property-level NOI

bull How do interventions impact different aspects of building operations and their subsequent financial impact

Beyond Environmental Building Certification The Impact of Environmental Interventions on Commercial Real Estate Operations

Piet Eichholtz and Nils Kok (Maastricht University) and RogierHoltermans (University of Guelph) Three key questions

bull How is environmental building certification related to commercial building energy consumption

bull How does aging affect the energy consumption of the commercial building stock

bull To what extent do specific energy efficiency investments affect energy consumption in commercial real estate

The Dynamics of Energy Consumption in Commercial Real Estate

Sofia Dermisi Chris Lee and YoungjinChoe (University of Washington) Exploring the effect of disclosure

policies on office building marketability while assessing potential links between market performance of sustainable assets

bull Before and after the disclosure policies while considering market cycles

bull Before and after ENERGY STAR andor LEED certification

Markets included San Francisco Washington DC

Effect of Energy Benchmarking and Disclosure on Office Building Marketability

Dirk Brounen (Tilburg University) and Gianluca Marcato (Reading University) Analyzing the adoption of GRESB within the public real estate markets and

predicting a potential impact of GRESB scores on REIT returns

Sustainable Insights and Public Real Estate Performance GRESB Effects in REIT Markets

Constantine Kontokosta (New York University) Franz Fuerst(Cambridge University) Gary Pivo (University of Arizona) amp Jacob Sagi (UNC Chapel Hill) Utilizing NYC data to empirically model

bull the spread between the premium for labeled (energy efficient) buildings and the cost to retrofit an under-performing building to meet the same standard which will allow us to understand how much of the observed premium is attributable to energy efficiency and how much can be assigned to other perceived benefits (marketing construction quality etc)

bull the hurdle rate for energy retrofit investments using actual audit data and permitted renovation work

Estimating Office and Residential Building Energy Retrofit Hurdle Rates and Risk Arbitrage in Energy Efficiency Investments

Collecting data for continued Data Lab analysis Presenting Research findings

bull Interim research results ndash IPC Research Symposium (October)bull Greenbuild Session (November)bull RERI Research Conference (April)bull Final research results ndash Better Buildings Webinars Summit 2019 (TBA)

Work with DOE case study and data analysis opportunities abound

Next Steps

Paul Mathew

Lawrence Berkeley National Laboratorypamathewlblgov

Paulo Issler

University of California Berkeleypauloisslerberkeleyedu

Erin Hopkins

Virginia Techerinz1vtedu

Andrew White

RE Tech Advisorsawhiteretechadvisorscom

Contact Info

  • Slide Number 1
  • Business Case 20 New Research Around High Performing Buildings
  • Panelists
  • Energy and Default Risk in Commercial Mortgages
  • Paulo Issler
  • Acknowledgements
  • The link between energy and CRE mortgages
  • Approach Impact of energy on default rate
  • Default risk and source EUI (cont)
  • Default risk and source EUI
  • Default risk and source EUI (cont)
  • Default risk and source EUI (cont)
  • What are the impacts on specific loans
  • Case Studies
  • Denver Office ndash energy use and default risk
  • Denver Office ndash energy price and default risk
  • Case Studies ndash summary of risks impacts
  • Case Studies ndash business impact
  • Looking Ahead
  • Looking Ahead ndash our vision
  • Recommendations
  • Slide Number 22
  • Money Matters Exploring the Financial Impacts of Green Certifications in the Multifamily Rental SectorErin A Hopkins PhD CAPS LEED Green AssociateAssistant Professor of Property Management
  • Overview of Research
  • Certifications Represented in Sample
  • Properties by City
  • Descriptive
  • Descriptive
  • Findings
  • Financial Impacts of Green
  • Discussion
  • Discussion
  • Final Thoughts
  • Slide Number 34
  • Slide Number 35
  • Context Setting ndash DOE Research Effort
  • RERI Overview
  • Literature Review Objectives
  • Literature Review Results
  • Literature Review Results
  • Research Agenda Core Question
  • Proposal Reviews
  • Beyond Environmental Building Certification The Impact of Environmental Interventions on Commercial Real Estate Operations
  • The Dynamics of Energy Consumption in Commercial Real Estate
  • Effect of Energy Benchmarking and Disclosure on Office Building Marketability
  • Sustainable Insights and Public Real Estate Performance GRESB Effects in REIT Markets
  • Estimating Office and Residential Building Energy Retrofit Hurdle Rates and Risk Arbitrage in Energy Efficiency Investments
  • Next Steps
  • Contact Info
Y Term ~Bias Estimate EXP estimate Practical Interpretation increasedecrease Std Error DFDen t Ratio Probgt|t| Log(Vacancies amp Rent Loss rentable sf) Log(Total Rents Collected rentable sf) Log(Total Actual Collections rentable sf) Log(Management Fee rentable sf) Log(Total Utilities Rentable sf) Log(MampR rentable sf) Log(Subtotal Maintenance rentable sf) Log(Property Insurance rentable sf) Log(Total All Expenses Rentable sf) Log(NOI Rentable sf) Concessions rentable sf
Log(Vacancies amp Rent Loss rentable sf) Intercept 00893029328 10934118365 934 06116337119 1083785495375 01460072116 08841869197 Green Certified (1=yes 0=no)[Yes] -00318 01047 00991
Log(Vacancies amp Rent Loss rentable sf) Green Certified (1=yes 0=no)[Yes] -0031825668 09686754385 -313 009164153 139931853592 -03472843369 07288994904 Gym (1=yes 0=no)[Yes] 01060 00708 00767
Log(Vacancies amp Rent Loss rentable sf) Gym (1=yes 0=no)[Yes] 01007730854 11060256399 1060 01479591517 1412043780621 0681087207 0496931725 Pool (1=yes 0=no)[Yes] 01126 00089 00131
Log(Vacancies amp Rent Loss rentable sf) Pool (1=yes 0=no)[Yes] 01125884395 11191712315 1192 0113345701 506840641957 09933190097 032527325 Outdoor Common Area (1=yes 0=no)[Yes] 02673 -00803 -00764
Log(Vacancies amp Rent Loss rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 02672618233 13063824429 3064 01690835398 1429144230275 15806495624 01161688791 Walk Score 00102 00065 00066
Log(Vacancies amp Rent Loss rentable sf) Walk Score 00101642302 10102160615 102 00040763935 1219632686439 24934369735 00139912712 of Unfurnished Apartments -00003 -00009 -00008
Log(Vacancies amp Rent Loss rentable sf) of Unfurnished Apartments -0000250981 09997490505 -003 00006011213 142449410245 -04175214322 06769256723 Average Apt Unit Size -00003 -00002 -00002
Log(Vacancies amp Rent Loss rentable sf) Average Apt Unit Size -00002575258 09997425074 -003 00004990119 1315989429881 -05160713681 06066705884 Age -00026 00008 00015
Log(Vacancies amp Rent Loss rentable sf) Age -00026152008 09973882158 -026 00056263988 1391583522195 -04648090107 06427946925 Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00099 00043 00252
Log(Vacancies amp Rent Loss rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00099001013 10099492694 099 0100821633 1384002310718 00981942166 09219201454
Log(Total Rents Collected rentable sf) Intercept 30195696974 204824761253 194825 04164909532 1420770663705 72500246992 0
Log(Total Rents Collected rentable sf) Green Certified (1=yes 0=no)[Yes] 00996165255 11047471944 1047
Hopkins Erin Hopkins Erincant provide a confidencd interval for it
00590542761 1286416575023 16868638818 0094053065
Log(Total Rents Collected rentable sf) Gym (1=yes 0=no)[Yes] 00684081888 10708023088 708 0096210834 1330244953516 07110237581 04783143732
Log(Total Rents Collected rentable sf) Pool (1=yes 0=no)[Yes] 00088712036 10089106694 089 00916333982 708572236354 00968119025 09231490817
Log(Total Rents Collected rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00836597449 09197441505 -803 01126005752 1404546011941 -07429779537 04587359136
Log(Total Rents Collected rentable sf) Walk Score 0006479206 10065002414 065 0002794287 1413201347208 23187331419 00218436949
Log(Total Rents Collected rentable sf) of Unfurnished Apartments -00008678845 0999132492 -009 00003932429 1359586026848 -22069932213 00289920945
Log(Total Rents Collected rentable sf) Average Apt Unit Size -00002078918 09997921298 -002 00003300088 1382568544162 -06299582685 05297616269
Log(Total Rents Collected rentable sf) Age 00008364704 10008368204 008 00037477419 1387794745176 02231931757 08237133506
Log(Total Rents Collected rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00042999624 10043092206 043 0069466499 142786243042 00618998008 09507291881
Log(Total Actual Collections rentable sf) Intercept 30681072891 215011686418 205012 04070110501 1415072794017 75381424868 0
Log(Total Actual Collections rentable sf) Green Certified (1=yes 0=no)[Yes] 00944491888 10990533175 991 00578900924 1291837028308 16315259643 01052148631
Log(Total Actual Collections rentable sf) Gym (1=yes 0=no)[Yes] 00739127176 10767128233 767 0094247393 1335821297113 07842415071 04342868782
Log(Total Actual Collections rentable sf) Pool (1=yes 0=no)[Yes] 00130418887 10131273051 131 00885804441 654593026021 01472321442 08834013324
Log(Total Actual Collections rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00794248992 0923647384 -764 01101507414 1410305976559 -07210564195 04720684016
Log(Total Actual Collections rentable sf) Walk Score 00065530115 10065745295 066 00027272037 14047408887 24028316857 00175745575
Log(Total Actual Collections rentable sf) of Unfurnished Apartments -0000833078 09991672689 -008 00003850262 1365168778586 -21636916411 00322285543
Log(Total Actual Collections rentable sf) Average Apt Unit Size -00002169447 09997830788 -002 00003233576 1393662972101 -06709126047 05033865944
Log(Total Actual Collections rentable sf) Age 00015178151 10015189676 015 0003670824 1398532082324 04134807595 06798877496
Log(Total Actual Collections rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00249154485 10252284322 252 0067842812 1423468871242 03672525904 07139760316
Log(Management Fee rentable sf) Intercept -02128803278 08082528568 -1917 04254329778 585619088893 -0500385111 06186792644
Log(Management Fee rentable sf) Green Certified (1=yes 0=no)[Yes] 0019865513 10200641454 201 00593086525 1354977267554 03349513461 07381797603
Log(Management Fee rentable sf) Gym (1=yes 0=no)[Yes] -00082052627 09918283086 -082 00958032958 1386068833723 -00856469772 09318706455
Log(Management Fee rentable sf) Pool (1=yes 0=no)[Yes] 00174275629 10175803089 176 00771880661 202180965349 02257805358 08236388274
Log(Management Fee rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00153191452 10154370848 154 01103651216 1423896402644 01388042255 08898009734
Log(Management Fee rentable sf) Walk Score 00070459229 10070708039 071 00028008303 805559990921 25156550566 0013868745
Log(Management Fee rentable sf) of Unfurnished Apartments -0001358177 09986427449 -014 00003916726 1421224837061 -34676335479 00006950146
Log(Management Fee rentable sf) Average Apt Unit Size -00005130214 09994871101 -005 00003375961 1007585612206 -15196307445 0131735624
Log(Management Fee rentable sf) Age 00013613923 10013623194 014 00037151697 1277713043957 03664414822 07146417588
Log(Management Fee rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -00674463479 09347778721 -652 00657081953 1299283630266 -10264525997 03065854809
Log(Total Utilities Rentable sf) Intercept -03748562337 06873880949 -3126 04464274077 1402143832266 -08396801522 04025171642
Log(Total Utilities Rentable sf) Green Certified (1=yes 0=no)[Yes] 00873163337 10912418217 912 0064576715 1358457024729 13521334071 01785794114
Log(Total Utilities Rentable sf) Gym (1=yes 0=no)[Yes] 01175979311 11247917766 1248 01048349264 1384172144229 11217438221 02639135776
Log(Total Utilities Rentable sf) Pool (1=yes 0=no)[Yes] 00115680134 10116351816 116 00928512423 72633370166 01245865221 09011950626
Log(Total Utilities Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00222539972 10225034645 225 01216524447 1425571484619 01829309493 0855112103
Log(Total Utilities Rentable sf) Walk Score 00068649233 10068885409 069 00029812807 1396033046894 23026759291 00227754146
Log(Total Utilities Rentable sf) of Unfurnished Apartments -00006773222 09993229071 -007 00004273761 1401067188346 -15848386198 01152575495
Log(Total Utilities Rentable sf) Average Apt Unit Size -00003442022 0999655857 -003 00003581401 1425120147852 -09610825805 03381384619
Log(Total Utilities Rentable sf) Age 00048795122 10048914364 049 00040600929 1425855030198 12018227897 02314244716
Log(Total Utilities Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -01198355423 08870663096 -1129 00742421382 1413320388001 -16141176043 01087323819
Log(MampR rentable sf) Intercept -09030689887 04053238148 -5947 0437858541 1384008312652 -20624674504 00410332652
Log(MampR rentable sf) Green Certified (1=yes 0=no)[Yes] 00937424436 10982768413 983 00639155521 1376081716673 14666609392 01447499128
Log(MampR rentable sf) Gym (1=yes 0=no)[Yes] 00037664885 10037735907 038 01036113865 1396450691334 00363520715 09710535435
Log(MampR rentable sf) Pool (1=yes 0=no)[Yes] 01319613595 11410642271 1411 00887446725 719561267791 14869778183 0141389644
Log(MampR rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00521515872 09491849716 -508 01197720975 1428478988157 -04354235112 06639122497
Log(MampR rentable sf) Walk Score 00110131704 10110740386 111 00029197236 1385662208531 37719907631 00002391344
Log(MampR rentable sf) of Unfurnished Apartments -00008849955 09991153959 -009 00004219429 1410140957414 -20974297602 0037740228
Log(MampR rentable sf) Average Apt Unit Size 00000594506 10000594524 001 0000353075 1429981472006 01683796031 08665225748
Log(MampR rentable sf) Age 0007624822 1007653965 077 00039990018 142990029884 19066812998 00585678315
Log(MampR rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00598131349 10616381449 616 00727173027 1406732379184 08225433659 04121598071
Log(Subtotal Maintenance rentable sf) Intercept -07997344997 04494482769 -5506 0489167182 1380935604874 -16348899298 01043496414
Log(Subtotal Maintenance rentable sf) Green Certified (1=yes 0=no)[Yes] 01180969773 11253532398 1254 00707986514 1348907221481 16680681771 00976219515
Log(Subtotal Maintenance rentable sf) Gym (1=yes 0=no)[Yes] 00409351965 10417845921 418 01148796072 1378640116803 03563312718 07221372278
Log(Subtotal Maintenance rentable sf) Pool (1=yes 0=no)[Yes] 01515780559 11636691295 1637 0100780712 617547240206 15040383505 01376688864
Log(Subtotal Maintenance rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -0078076377 09248937833 -751 01331885868 1426567369893 -05862092154 05586613077
Log(Subtotal Maintenance rentable sf) Walk Score 0011889233 10119601909 120 00032614069 1377504918879 36454307183 00003773801
Log(Subtotal Maintenance rentable sf) of Unfurnished Apartments -00008153416 09991849907 -008 00004682078 1398534995511 -17414095506 00838107083
Log(Subtotal Maintenance rentable sf) Average Apt Unit Size 00005083484 10005084776 005 00003930253 1428434249161 12934242295 01979520949
Log(Subtotal Maintenance rentable sf) Age 00104106727 10104650523 105 00044515054 1428449267664 23386858733 00207383998
Log(Subtotal Maintenance rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 02440298206 12763823925 2764 0081177414 1402563601749 30061295196 00031359748
Log(Property Insurance rentable sf) Intercept -08916874806 04099633635 -5900 04516384713 1429624291993 -19743390727 00502702101
Log(Property Insurance rentable sf) Green Certified (1=yes 0=no)[Yes] 01239058141 11319092561 1319 0062692592 1281678143933 19764027959 00502564371
Log(Property Insurance rentable sf) Gym (1=yes 0=no)[Yes] -0003522638 09964835593 -035 01024969537 1314939748594 -0034368221 09726356404
Log(Property Insurance rentable sf) Pool (1=yes 0=no)[Yes] 00227423743 10230029538 230 01040308572 1125700947624 02186118131 08273482928
Log(Property Insurance rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00155809876 10157030041 157 01206677853 1368483458399 01291230096 08974498986
Log(Property Insurance rentable sf) Walk Score 00072977866 10073244804 073 00030353828 1428602075435 24042392705 00174877086
Log(Property Insurance rentable sf) of Unfurnished Apartments -00010061941 09989943119 -010 0000420017 1337858380697 -23956034086 00179774093
Log(Property Insurance rentable sf) Average Apt Unit Size -00006330482 09993671521 -006 00003514502 1338864329416 -18012458048 0073914725
Log(Property Insurance rentable sf) Age 00009661099 10009665767 010 00039921418 1338497494964 02420028921 08091483095
Log(Property Insurance rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -00520208103 09493091112 -507 00749301111 1411273861679 -06942577501 04886618561
Log(Total All Expenses Rentable sf) Intercept 17410862845 57035357214 47035 03946731547 141889623796 44114636723 00000201648
Log(Total All Expenses Rentable sf) Green Certified (1=yes 0=no)[Yes] 01231722438 11310792255 1311 00565275641 1341244163534 21789766772 00310802733
Log(Total All Expenses Rentable sf) Gym (1=yes 0=no)[Yes] 00096244971 10096709615 097 00919378962 1370603130567 01046847658 09167789899
Log(Total All Expenses Rentable sf) Pool (1=yes 0=no)[Yes] 01610294116 11747195186 1747 00846545666 801516751987 19021940341 00607378863
Log(Total All Expenses Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00361842114 09644626121 -355 01071504659 1418739239709 -03376953252 07360919324
Log(Total All Expenses Rentable sf) Walk Score 00087371658 10087754463 088 00026426023 1411809488418 33062734678 00011989895
Log(Total All Expenses Rentable sf) of Unfurnished Apartments -00008720665 09991283137 -009 00003752966 1389800988186 -23236728617 00215934791
Log(Total All Expenses Rentable sf) Average Apt Unit Size -0000155413 0999844599 -002 00003145108 1409449329598 -0494142052 06219751067
Log(Total All Expenses Rentable sf) Age 00015666155 10015678433 016 00035695206 1412387206124 04388868073 06614142124
Log(Total All Expenses Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00157918953 10159172462 159 00657593447 1424551160559 02401467861 08105616925
Log(NOI Rentable sf) Intercept 27416093787 155119295878 145119 049686036 1426328429735 55178669889 0000000157
Log(NOI Rentable sf) Green Certified (1=yes 0=no)[Yes] 00932241108 10977077159 977 00701671113 1292740226257 13286012361 01863200879
Log(NOI Rentable sf) Gym (1=yes 0=no)[Yes] 0111280688 11177085902 1177 0114413579 13320261997 09726178396 03325061802
Log(NOI Rentable sf) Pool (1=yes 0=no)[Yes] -00608871507 0940929417 -591 01107002034 838263437204 -05500184174 05837693269
Log(NOI Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -01393113526 08699571229 -1300 01340931949 1397855428856 -10389144106 03006382455
Log(NOI Rentable sf) Walk Score 00045000262 10045101666 045 0003337636 1423581725818 13482675372 01797136327
Log(NOI Rentable sf) of Unfurnished Apartments -00007116645 09992885887 -007 00004679272 1358400867851 -15208872073 01306124688
Log(NOI Rentable sf) Average Apt Unit Size -00001937801 09998062387 -002 00003921685 1372175013367 -04941245389 06220083144
Log(NOI Rentable sf) Age 00034607088 1003466704 035 00044548378 1376438770548 07768428318 04385844885
Log(NOI Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00488697769 10500835966 501 00828565286 1429949688826 05898120243 0556247504
Concessions rentable sf Intercept 0091580439 10959049266 959 12772069558 1418541020247 00717036801 09429387231
Concessions rentable sf Green Certified (1=yes 0=no)[Yes] 01110697527 11174728508 1175 01814813765 1293641668833 06120173584 05416004511
Concessions rentable sf Gym (1=yes 0=no)[Yes] -05094051331 06008529 -3991 02955403985 1336296409402 -17236395961 00870857294
Concessions rentable sf Pool (1=yes 0=no)[Yes] -00886152984 09151975838 -848 02791864929 69298361986 -03174053928 07518903943
Concessions rentable sf Outdoor Common Area (1=yes 0=no)[Yes] 04576291372 15803228114 5803 03455726285 1408379747117 13242632646 01875606951
Concessions rentable sf Walk Score 00120688741 10121419968 121 00085630896 1409791646097 14094064916 01609170757
Concessions rentable sf of Unfurnished Apartments -00007045588 09992956894 -007 00012075862 1364744404696 -05834438741 05605574922
Concessions rentable sf Average Apt Unit Size -00003193903 09996806607 -003 00010135961 1389703034326 -03151061148 07531537379
Concessions rentable sf Age 00130223218 10131074815 131 00115086772 139464867267 11315220311 02597773256
Concessions rentable sf Building Mix (0=multifamily 1 = mixed-use)[Mixed] -03719888249 06893619462 -3106 02129597676 1426034459287 -17467563435 00828326573
Y Term Practical Interpretation increasedecrease Probgt|t| Total Rents Collected Subtotal Maintenance Property Insurance Total Expenses
Log(Total Rents Collected rentable sf) Green Certified (1=yes 0=no)[Yes] 1047
Hopkins Erin Hopkins Erincant provide a confidencd interval for it
009 130837635934 13311489362 01847683215 67633617021
Log(Subtotal Maintenance rentable sf) Green Certified (1=yes 0=no)[Yes] 1254 010 267662568114 08839769656 0489370035 133484365708
Log(Property Insurance rentable sf) Green Certified (1=yes 0=no)[Yes] 1319 005 44887430941 07758149459 02417429373 41261056301
Log(Total All Expenses Rentable sf) Green Certified (1=yes 0=no)[Yes] 1311 003 103066299601 12390720963 00474343371 5067818194
206907297628 2385711159 02072356932 9194606526
318766961061 22633758919 04452208547 128154919371
92461669878 09545425866 01280485733 38832017239
143925847783 15966970999 02187893202 54018796992
176714125561 02006495648 02876780533 58992020575
232897515382 0726170332 00787094673 69517596041
Non-green sf average Financial Green Impact sf Financial green impact differencesf Green impactapt Green impactproperty 51780910259 05203453537 00494304264 22609306646
178353784788 17547710996 02048626598 95961490345
Total Rents Collected sf 1047 2356 2603 $ 247 $ 2189 $ 551683 113769814112 12206875575 03432049607 118156743193
Subtotal Maintenance sf 1254 160 180 $ 020 $ 178 $ 44843 301239240258 10561596849 0204970258 110903994641
Property Insurance sf 1319 036 041 $ 005 $ 42 $ 10601 918584487 08376649832 00914663991 4146546939
Total Expenses sf 1311 852 963 $ 112 $ 990 $ 249535 265183769576 19294929362 03500602344 108447158033
226055903548 13557897255 03988791741 10971207244
334894587007 17970717884 05122599181 124640467569
5542518821 31394328066 04875650977 200668786372
112655732059 13445692884 02031297086 43995867235
129139526152 1168069688 00518980213 4651511283
Avg Apt Size Avg of Units 151098478261 13975 02004130435 51873478261
192155046737 21015937064 02616549091 8357602264
887 252 514840434082 52766375656 02375463267 174375582672
81421971535 06694487849 00899424521 2748686222
30246817244 21594341279 03308639536 97277207077
488523197409 27727612187 0646599696 130752346177
318750561687 38903340576 03852711795 142409683793
310384048163 43119745565 03335824966 138846874251
Green Certification Impacts 48578215663 0350218077 03095574205 23695139998
Dependent Variable Per Square Foot Per Apartment Per Property 192237574111 13374121765 02053242615 84027476689
Total Rents Collected $ 247 $ 2189 $ 551683 62979912788 05343191729 00816289996 45390243161
Subtotal Maintenance $ 020 $ 178 $ 44843 148378959661 14651715909 02004049722 80900580942
Property Insurance $ 005 $ 42 $ 10601 196798863889 11267176542 02499920663 90266351433
Total Expenses $ 112 $ 990 $ 249535 281508617823 09686995581 01118170881 119863342059
58584849751 0106864586 04187933949 44180073736
126756167712 1265684516 02796423029 87538414144
176550549412 24957340254 02343899179 88904473415
252421786235 28063734042 03142238564 133776179357
191875932907 13637043757 03440324697 987034902
159508092934 13109374847 02091697013 98967206196
342739845467 09614092295 03929892961 129755936769
192510355167 32804720611 01743191858 134560085596
257829360401 13666691797 01527100011 56329812754
358622391559 14251973427 03437553732 101098436889
217744157919 24046486586 01864745418 68711016642
222112557003 22022148788 07879755849 97807110765
202535763689 04548110217 10003436751 127886698915
155879815194 23816051158 04816227091 119033557201
11066078843 23413202706 06413902496 81812176347
151924709838 18873401649 05711000232 105403544539
163604010853 16052949068 02714509557 82030431823
133974400047 11018949984 03560839935 59096477943
133528448829 13647819036 02538331588 66159357367
187400008959 16889788117 030870974 115752907975
155246293804 18308314258 03852380906 116657595614
34082816218 05447090935 09838411173 13641308574
201220131342 11192465065 03188344246 93786154242
139108532616 13313944086 03887737775 69698295902
191656858207 15717927807 06002115982 119380046581
200921599083 12597596226 03267106334 82474085087
57536742874 00453219212 00300766262 10569757217
120548294116 11607892527 03275736725 74435143659
123188534664 1404028789 03510968138 78762080781
59543029729 0899713372 01652374748 28143456117
144215639215 19193238703 02899837711 67370054173
340046684831 19619729415 04325060698 120608464163
208244777176 28183367899 037 73104355304
234349752613 19432301154 0351134881 107484594815
136370903402 17029933791 01989576534 50899930579
149968383478 14209793679 02735642323 63813718869
81145819519 0920766851 00474564037 30674168785
226307446224 12529424404 02036192613 69235920453
132787305462 08047482453 01232346659 41808605432
251519090044 21798380428 0376480317 80396623551
492269138212 12196979039 02981674812 128316943664
107177195916 08016374211 0113808252 40618650625
128238528886 10751217142 01843492552 6476830365
57582611557 11908427448 0874334536 134004066235
43835651097 34822540694 03904989384 146763800425
205787355386 1429219053 02624404931 5321754079
463148430769 07709353846 06150738462 101617384615
377949548611 28670972222 08296944444 109743576389
360087564176 03501711352 18551055334 110041072447
18371979614 18232783153 07267294459 61184870906
678035276363 13443501226 10431616676 167533484248
56073359244 10138647576 01591318768 51440832304
189431314891 05101557395 03677787459 41010945328
383550342095 23244425576 04086557393 98151764619
115544349685 03310482653 037 40344851625
7552318246 0955023726 01241945851 24368780848
133083101881 19451300341 00938801919 48731378614
122308363087 13760780005 01439989014 45100624828
84908269322 10857071617 01155797799 36082570734
263116048067 10733627163 041902582 60372732395
76183752731 09621126305 01069925907 26170373239
172494454001 11781600332 03919686814 59016193131
342076422068 22741368431 03165622465 73557085549
215534567901 1485497076 02210396361 49118778428
314593058927 23798916958 02751353803 121998559501
586535191691 21029046354 02109026171 91979074439
138093310078 14595490221 02142269839 44286283792
227203645682 04584630891 05737147639 93344680527
572754455737 17713614269 01642228739 92545561671
60603870458 04541110154 01180884676 15902125521
358781017266 33847643857 06854022643 139200146946
342079216629 24477703832 0463059603 67166143833
651201231187 51019950176 12529595849 222094150831
369798669702 21700816928 0444474205 101410502507
421838575952 28823013788 05443272608 151399739597
626095189209 20826275416 04947814184 184651096472
214882899762 25034709712 06359683889 109534721722
274037120739 26718517094 037 67504928595
252667703737 25588590114 05379535858 109041874345
59253832495 01099622961 04620367393 19262874847
150862851538 18053109961 07398729558 71488607075
111196959019 00928417366 037 09427894164
667360269858 07921160191 02989609494 104670639024
2356 160 036 852
Log(Vacancies amp Rent Loss rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified -00318 00916 -00313 07289
Fitness Center 01008 01480 01060 04969
Pool 01126 01133 01192 03253
Outdoor Common Area 02673 01691 03064 01162
Walk Score 00102 00041 00102 00140
of Unfurnished Apartments -00003 00006 -00003 06769
Average Apt Unit Size -00003 00005 -00003 06067
Age -00026 00056 -00026 06428
Building Mix 00099 01008 00099 09219
Note R2 = 645
Log(Total Rents Collected rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00996 00591 01047 00941
Fitness Center 00684 00962 00708 04783
Pool 00089 00916 00089 09231
Outdoor Common Area -00837 01126 -00803 04587
Walk Score 00065 00028 00065 00218
of Unfurnished Apartments -00009 00004 -00009 00290
Average Apt Unit Size -00002 00003 -00002 05298
Age 00008 00037 00008 08237
Building Mix 00043 00695 00043 09507
Note R2 = 3318
Log(Total Actual Collections rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00944 00579 00991 01052
Fitness Center 00739 00942 00767 04343
Pool 00130 00886 00131 08834
Outdoor Common Area -00794 01102 -00764 04721
Walk Score 00066 00027 00066 00176
of Unfurnished Apartments -00008 00004 -00008 00322
Average Apt Unit Size -00002 00003 -00002 05034
Age 00015 00037 00015 06799
Building Mix 00249 00678 00252 07140
Note R2 = 3219
Log(Management Fee rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00199 00593 00201 07382
Fitness Center -00082 00958 -00082 09319
Pool 00174 00772 00176 08236
Outdoor Common Area 00153 01104 00154 08898
Walk Score 00070 00028 00071 00139
of Unfurnished Apartments -00014 00004 -00014 00007
Average Apt Unit Size -00005 00003 -00005 01317
Age 00014 00037 00014 07146
Building Mix -00674 00657 -00652 03066
Note R2 = 1697
Log(Total Utilities Rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00873 00646 00912 01786
Fitness Center 01176 01048 01248 02639
Pool 00116 00929 00116 09012
Outdoor Common Area 00223 01217 00225 08551
Walk Score 00069 00030 00069 00228
of Unfurnished Apartments -00007 00004 -00007 01153
Average Apt Unit Size -00003 00004 -00003 03381
Age 00049 00041 00049 02314
Building Mix -01198 00742 -01129 01087
Note R2 = 2171
Log(MampR rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00937 00639 00983 01447
Fitness Center 00038 01036 00038 09711
Pool 01320 00887 01411 01414
Outdoor Common Area -00522 01198 -00508 06639
Walk Score 00110 00029 00111 00002
of Unfurnished Apartments -00009 00004 -00009 00377
Average Apt Unit Size 00001 00004 00001 08665
Age 00076 00040 00077 00586
Building Mix 00598 00727 00616 04122
Note R2 = 2620
Log(Subtotal Maintenance rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 01181 00708 01254 00976
Fitness Center 00409 01149 00418 07221
Pool 01516 01008 01637 01377
Outdoor Common Area -00781 01332 -00751 05587
Walk Score 00119 00033 00120 00004
of Unfurnished Apartments -00008 00005 -00008 00838
Average Apt Unit Size 00005 00004 00005 01980
Age 00104 00045 00105 00207
Building Mix 02440 00812 02764 00031
Note R2 = 3218
Log(Property Insurance rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 01239 00627 01319 00503
Fitness Center -00035 01025 -00035 09726
Pool 00227 01040 00230 08273
Outdoor Common Area 00156 01207 00157 08974
Walk Score 00073 00030 00073 00175
of Unfurnished Apartments -00010 00004 -00010 00180
Average Apt Unit Size -00006 00004 -00006 00739
Age 00010 00040 00010 08091
Building Mix -00520 00749 -00507 04887
Note R2 = 3902
Log(Total All Expenses Rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 01232 00565 01311 00311
Fitness Center 00096 00919 00097 09168
Pool 01610 00847 01747 00607
Outdoor Common Area -00362 01072 -00355 07361
Walk Score 00087 00026 00088 00012
of Unfurnished Apartments -00009 00004 -00009 00216
Average Apt Unit Size -00002 00003 -00002 06220
Age 00016 00036 00016 06614
Building Mix 00158 00658 00159 08106
Note R2 = 2943
Log(NOI Rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00932 00702 00977 01863
Fitness Center 01113 01144 01177 03325
Pool -00609 01107 -00591 05838
Outdoor Common Area -01393 01341 -01300 03006
Walk Score 00045 00033 00045 01797
of Unfurnished Apartments -00007 00005 -00007 01306
Average Apt Unit Size -00002 00004 -00002 06220
Age 00035 00045 00035 04386
Building Mix 00489 00829 00501 05562
Note R2 = 3669
Concessions rentable sf
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 01111 01815 01175 05416
Fitness Center -05094 02955 -03991 00871
Pool -00886 02792 -00848 07519
Outdoor Common Area 04576 03456 05803 01876
Walk Score 00121 00086 00121 01609
of Unfurnished Apartments -00007 00012 -00007 05606
Average Apt Unit Size -00003 00010 -00003 07532
Age 00130 00115 00131 02598
Building Mix -03720 02130 -03106 00828
Note R2 = 2402
Y Term ~Bias Estimate EXP estimate Practical Interpretation increasedecrease Std Error DFDen t Ratio Probgt|t| Estimate Std Error Practical Interpretation Significance
Log(Vacancies amp Rent Loss rentable sf) Intercept 00893029328 10934118365 934 06116337119 1083785495375 01460072116 08841869197 Green Cert
Log(Vacancies amp Rent Loss rentable sf) Green Certified (1=yes 0=no)[Yes] -0031825668 09686754385 -313 009164153 139931853592 -03472843369 07288994904 Gym
Log(Vacancies amp Rent Loss rentable sf) Gym (1=yes 0=no)[Yes] 01007730854 11060256399 1060 01479591517 1412043780621 0681087207 0496931725
Log(Vacancies amp Rent Loss rentable sf) Pool (1=yes 0=no)[Yes] 01125884395 11191712315 1192 0113345701 506840641957 09933190097 032527325
Log(Vacancies amp Rent Loss rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 02672618233 13063824429 3064 01690835398 1429144230275 15806495624 01161688791
Log(Vacancies amp Rent Loss rentable sf) Walk Score 00101642302 10102160615 102 00040763935 1219632686439 24934369735 00139912712
Log(Vacancies amp Rent Loss rentable sf) of Unfurnished Apartments -0000250981 09997490505 -003 00006011213 142449410245 -04175214322 06769256723
Log(Vacancies amp Rent Loss rentable sf) Average Apt Unit Size -00002575258 09997425074 -003 00004990119 1315989429881 -05160713681 06066705884
Log(Vacancies amp Rent Loss rentable sf) Age -00026152008 09973882158 -026 00056263988 1391583522195 -04648090107 06427946925
Log(Vacancies amp Rent Loss rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00099001013 10099492694 099 0100821633 1384002310718 00981942166 09219201454
Log(Total Rents Collected rentable sf) Intercept 30195696974 204824761253 194825 04164909532 1420770663705 72500246992 0
Log(Total Rents Collected rentable sf) Green Certified (1=yes 0=no)[Yes] 00996165255 11047471944 1047
Hopkins Erin Hopkins Erincant provide a confidencd interval for it
00590542761 1286416575023 16868638818 0094053065 0099617 00590542761 1047
Log(Total Rents Collected rentable sf) Gym (1=yes 0=no)[Yes] 00684081888 10708023088 708 0096210834 1330244953516 07110237581 04783143732
Log(Total Rents Collected rentable sf) Pool (1=yes 0=no)[Yes] 00088712036 10089106694 089 00916333982 708572236354 00968119025 09231490817
Log(Total Rents Collected rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00836597449 09197441505 -803 01126005752 1404546011941 -07429779537 04587359136
Log(Total Rents Collected rentable sf) Walk Score 0006479206 10065002414 065 0002794287 1413201347208 23187331419 00218436949
Log(Total Rents Collected rentable sf) of Unfurnished Apartments -00008678845 0999132492 -009 00003932429 1359586026848 -22069932213 00289920945 variance components to talk about how much of the total error that is attribuatle to city
Log(Total Rents Collected rentable sf) Average Apt Unit Size -00002078918 09997921298 -002 00003300088 1382568544162 -06299582685 05297616269
Log(Total Rents Collected rentable sf) Age 00008364704 10008368204 008 00037477419 1387794745176 02231931757 08237133506
Log(Total Rents Collected rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00042999624 10043092206 043 0069466499 142786243042 00618998008 09507291881
Log(Total Actual Collections rentable sf) Intercept 30681072891 215011686418 205012 04070110501 1415072794017 75381424868 0
Log(Total Actual Collections rentable sf) Green Certified (1=yes 0=no)[Yes] 00944491888 10990533175 991 00578900924 1291837028308 16315259643 01052148631
Log(Total Actual Collections rentable sf) Gym (1=yes 0=no)[Yes] 00739127176 10767128233 767 0094247393 1335821297113 07842415071 04342868782
Log(Total Actual Collections rentable sf) Pool (1=yes 0=no)[Yes] 00130418887 10131273051 131 00885804441 654593026021 01472321442 08834013324
Log(Total Actual Collections rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00794248992 0923647384 -764 01101507414 1410305976559 -07210564195 04720684016
Log(Total Actual Collections rentable sf) Walk Score 00065530115 10065745295 066 00027272037 14047408887 24028316857 00175745575
Log(Total Actual Collections rentable sf) of Unfurnished Apartments -0000833078 09991672689 -008 00003850262 1365168778586 -21636916411 00322285543
Log(Total Actual Collections rentable sf) Average Apt Unit Size -00002169447 09997830788 -002 00003233576 1393662972101 -06709126047 05033865944
Log(Total Actual Collections rentable sf) Age 00015178151 10015189676 015 0003670824 1398532082324 04134807595 06798877496
Log(Total Actual Collections rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00249154485 10252284322 252 0067842812 1423468871242 03672525904 07139760316
Log(Management Fee rentable sf) Intercept -02128803278 08082528568 -1917 04254329778 585619088893 -0500385111 06186792644
Log(Management Fee rentable sf) Green Certified (1=yes 0=no)[Yes] 0019865513 10200641454 201 00593086525 1354977267554 03349513461 07381797603
Log(Management Fee rentable sf) Gym (1=yes 0=no)[Yes] -00082052627 09918283086 -082 00958032958 1386068833723 -00856469772 09318706455
Log(Management Fee rentable sf) Pool (1=yes 0=no)[Yes] 00174275629 10175803089 176 00771880661 202180965349 02257805358 08236388274
Log(Management Fee rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00153191452 10154370848 154 01103651216 1423896402644 01388042255 08898009734
Log(Management Fee rentable sf) Walk Score 00070459229 10070708039 071 00028008303 805559990921 25156550566 0013868745
Log(Management Fee rentable sf) of Unfurnished Apartments -0001358177 09986427449 -014 00003916726 1421224837061 -34676335479 00006950146
Log(Management Fee rentable sf) Average Apt Unit Size -00005130214 09994871101 -005 00003375961 1007585612206 -15196307445 0131735624
Log(Management Fee rentable sf) Age 00013613923 10013623194 014 00037151697 1277713043957 03664414822 07146417588
Log(Management Fee rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -00674463479 09347778721 -652 00657081953 1299283630266 -10264525997 03065854809
Log(Total Utilities Rentable sf) Intercept -03748562337 06873880949 -3126 04464274077 1402143832266 -08396801522 04025171642
Log(Total Utilities Rentable sf) Green Certified (1=yes 0=no)[Yes] 00873163337 10912418217 912 0064576715 1358457024729 13521334071 01785794114
Log(Total Utilities Rentable sf) Gym (1=yes 0=no)[Yes] 01175979311 11247917766 1248 01048349264 1384172144229 11217438221 02639135776
Log(Total Utilities Rentable sf) Pool (1=yes 0=no)[Yes] 00115680134 10116351816 116 00928512423 72633370166 01245865221 09011950626
Log(Total Utilities Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00222539972 10225034645 225 01216524447 1425571484619 01829309493 0855112103
Log(Total Utilities Rentable sf) Walk Score 00068649233 10068885409 069 00029812807 1396033046894 23026759291 00227754146
Log(Total Utilities Rentable sf) of Unfurnished Apartments -00006773222 09993229071 -007 00004273761 1401067188346 -15848386198 01152575495
Log(Total Utilities Rentable sf) Average Apt Unit Size -00003442022 0999655857 -003 00003581401 1425120147852 -09610825805 03381384619
Log(Total Utilities Rentable sf) Age 00048795122 10048914364 049 00040600929 1425855030198 12018227897 02314244716
Log(Total Utilities Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -01198355423 08870663096 -1129 00742421382 1413320388001 -16141176043 01087323819
Log(MampR rentable sf) Intercept -09030689887 04053238148 -5947 0437858541 1384008312652 -20624674504 00410332652
Log(MampR rentable sf) Green Certified (1=yes 0=no)[Yes] 00937424436 10982768413 983 00639155521 1376081716673 14666609392 01447499128
Log(MampR rentable sf) Gym (1=yes 0=no)[Yes] 00037664885 10037735907 038 01036113865 1396450691334 00363520715 09710535435
Log(MampR rentable sf) Pool (1=yes 0=no)[Yes] 01319613595 11410642271 1411 00887446725 719561267791 14869778183 0141389644
Log(MampR rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00521515872 09491849716 -508 01197720975 1428478988157 -04354235112 06639122497
Log(MampR rentable sf) Walk Score 00110131704 10110740386 111 00029197236 1385662208531 37719907631 00002391344
Log(MampR rentable sf) of Unfurnished Apartments -00008849955 09991153959 -009 00004219429 1410140957414 -20974297602 0037740228
Log(MampR rentable sf) Average Apt Unit Size 00000594506 10000594524 001 0000353075 1429981472006 01683796031 08665225748
Log(MampR rentable sf) Age 0007624822 1007653965 077 00039990018 142990029884 19066812998 00585678315
Log(MampR rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00598131349 10616381449 616 00727173027 1406732379184 08225433659 04121598071
Log(Subtotal Maintenance rentable sf) Intercept -07997344997 04494482769 -5506 0489167182 1380935604874 -16348899298 01043496414
Log(Subtotal Maintenance rentable sf) Green Certified (1=yes 0=no)[Yes] 01180969773 11253532398 1254 00707986514 1348907221481 16680681771 00976219515
Log(Subtotal Maintenance rentable sf) Gym (1=yes 0=no)[Yes] 00409351965 10417845921 418 01148796072 1378640116803 03563312718 07221372278
Log(Subtotal Maintenance rentable sf) Pool (1=yes 0=no)[Yes] 01515780559 11636691295 1637 0100780712 617547240206 15040383505 01376688864
Log(Subtotal Maintenance rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -0078076377 09248937833 -751 01331885868 1426567369893 -05862092154 05586613077
Log(Subtotal Maintenance rentable sf) Walk Score 0011889233 10119601909 120 00032614069 1377504918879 36454307183 00003773801
Log(Subtotal Maintenance rentable sf) of Unfurnished Apartments -00008153416 09991849907 -008 00004682078 1398534995511 -17414095506 00838107083
Log(Subtotal Maintenance rentable sf) Average Apt Unit Size 00005083484 10005084776 005 00003930253 1428434249161 12934242295 01979520949
Log(Subtotal Maintenance rentable sf) Age 00104106727 10104650523 105 00044515054 1428449267664 23386858733 00207383998
Log(Subtotal Maintenance rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 02440298206 12763823925 2764 0081177414 1402563601749 30061295196 00031359748
Log(Property Insurance rentable sf) Intercept -08916874806 04099633635 -5900 04516384713 1429624291993 -19743390727 00502702101
Log(Property Insurance rentable sf) Green Certified (1=yes 0=no)[Yes] 01239058141 11319092561 1319 0062692592 1281678143933 19764027959 00502564371
Log(Property Insurance rentable sf) Gym (1=yes 0=no)[Yes] -0003522638 09964835593 -035 01024969537 1314939748594 -0034368221 09726356404
Log(Property Insurance rentable sf) Pool (1=yes 0=no)[Yes] 00227423743 10230029538 230 01040308572 1125700947624 02186118131 08273482928
Log(Property Insurance rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00155809876 10157030041 157 01206677853 1368483458399 01291230096 08974498986
Log(Property Insurance rentable sf) Walk Score 00072977866 10073244804 073 00030353828 1428602075435 24042392705 00174877086
Log(Property Insurance rentable sf) of Unfurnished Apartments -00010061941 09989943119 -010 0000420017 1337858380697 -23956034086 00179774093
Log(Property Insurance rentable sf) Average Apt Unit Size -00006330482 09993671521 -006 00003514502 1338864329416 -18012458048 0073914725
Log(Property Insurance rentable sf) Age 00009661099 10009665767 010 00039921418 1338497494964 02420028921 08091483095
Log(Property Insurance rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -00520208103 09493091112 -507 00749301111 1411273861679 -06942577501 04886618561
Log(Total All Expenses Rentable sf) Intercept 17410862845 57035357214 47035 03946731547 141889623796 44114636723 00000201648
Log(Total All Expenses Rentable sf) Green Certified (1=yes 0=no)[Yes] 01231722438 11310792255 1311 00565275641 1341244163534 21789766772 00310802733
Log(Total All Expenses Rentable sf) Gym (1=yes 0=no)[Yes] 00096244971 10096709615 097 00919378962 1370603130567 01046847658 09167789899
Log(Total All Expenses Rentable sf) Pool (1=yes 0=no)[Yes] 01610294116 11747195186 1747 00846545666 801516751987 19021940341 00607378863
Log(Total All Expenses Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00361842114 09644626121 -355 01071504659 1418739239709 -03376953252 07360919324
Log(Total All Expenses Rentable sf) Walk Score 00087371658 10087754463 088 00026426023 1411809488418 33062734678 00011989895
Log(Total All Expenses Rentable sf) of Unfurnished Apartments -00008720665 09991283137 -009 00003752966 1389800988186 -23236728617 00215934791
Log(Total All Expenses Rentable sf) Average Apt Unit Size -0000155413 0999844599 -002 00003145108 1409449329598 -0494142052 06219751067
Log(Total All Expenses Rentable sf) Age 00015666155 10015678433 016 00035695206 1412387206124 04388868073 06614142124
Log(Total All Expenses Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00157918953 10159172462 159 00657593447 1424551160559 02401467861 08105616925
Log(NOI Rentable sf) Intercept 27416093787 155119295878 145119 049686036 1426328429735 55178669889 0000000157
Log(NOI Rentable sf) Green Certified (1=yes 0=no)[Yes] 00932241108 10977077159 977 00701671113 1292740226257 13286012361 01863200879
Log(NOI Rentable sf) Gym (1=yes 0=no)[Yes] 0111280688 11177085902 1177 0114413579 13320261997 09726178396 03325061802
Log(NOI Rentable sf) Pool (1=yes 0=no)[Yes] -00608871507 0940929417 -591 01107002034 838263437204 -05500184174 05837693269
Log(NOI Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -01393113526 08699571229 -1300 01340931949 1397855428856 -10389144106 03006382455
Log(NOI Rentable sf) Walk Score 00045000262 10045101666 045 0003337636 1423581725818 13482675372 01797136327
Log(NOI Rentable sf) of Unfurnished Apartments -00007116645 09992885887 -007 00004679272 1358400867851 -15208872073 01306124688
Log(NOI Rentable sf) Average Apt Unit Size -00001937801 09998062387 -002 00003921685 1372175013367 -04941245389 06220083144
Log(NOI Rentable sf) Age 00034607088 1003466704 035 00044548378 1376438770548 07768428318 04385844885
Log(NOI Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00488697769 10500835966 501 00828565286 1429949688826 05898120243 0556247504
Concessions rentable sf Intercept 0091580439 10959049266 959 12772069558 1418541020247 00717036801 09429387231
Concessions rentable sf Green Certified (1=yes 0=no)[Yes] 01110697527 11174728508 1175 01814813765 1293641668833 06120173584 05416004511
Concessions rentable sf Gym (1=yes 0=no)[Yes] -05094051331 06008529 -3991 02955403985 1336296409402 -17236395961 00870857294
Concessions rentable sf Pool (1=yes 0=no)[Yes] -00886152984 09151975838 -848 02791864929 69298361986 -03174053928 07518903943
Concessions rentable sf Outdoor Common Area (1=yes 0=no)[Yes] 04576291372 15803228114 5803 03455726285 1408379747117 13242632646 01875606951
Concessions rentable sf Walk Score 00120688741 10121419968 121 00085630896 1409791646097 14094064916 01609170757
Concessions rentable sf of Unfurnished Apartments -00007045588 09992956894 -007 00012075862 1364744404696 -05834438741 05605574922
Concessions rentable sf Average Apt Unit Size -00003193903 09996806607 -003 00010135961 1389703034326 -03151061148 07531537379
Concessions rentable sf Age 00130223218 10131074815 131 00115086772 139464867267 11315220311 02597773256
Concessions rentable sf Building Mix (0=multifamily 1 = mixed-use)[Mixed] -03719888249 06893619462 -3106 02129597676 1426034459287 -17467563435 00828326573
Page 7: AUGUST 21- 23, 2018 • CLEVELAND, OHIO€¦ · Business Case 2.0: New Research Around High Performing Buildings Thursday 23 rd, 2018 10:30am – 12:00pm

The link between energy and CRE mortgages Net Operating Income (NOI) the key financial measure for CRE valuation and mortgage risk Energy cost is one of the largest components of Net Operating Income (NOI)

Energy prices are highly volatile Poor CRE property management can severely impact energy consumption

Current practice does not fully account for these factors in calculation of Net Operating Income (NOI) Usually based on historical average cost data if available Does not account for energy use and price volatility during mortgage term

Key question How much do these factors ldquomove the needlerdquo for NOI and default risk

Energy Use VolumeElectricity kWhkW fuel therms etc

Driven by bldg features operations climate

Energy Use Volatility+- change over mortgage term

Driven by bldg operations weather variation

Energy Price$kWh $kW $therm

Set by rate structure

Energy Price Volatility+- change over mortgage term

Driven by rate structure forward price curves

7

Approach Impact of energy on default rateMortgage Default Rate = f (EUI ElecPriceGap CouponSpread LTV Region more controlshellip)

TREPPLoan Dataset

geocode

Benchmark Disclosure

Dataset

Expanded Benchmark Disclosure

match

Combined TREPP mortgage performance and Benchmarking Disclosure Datasets

ISO ElectricityHH Nat Gas

Datasets

match amp calc

Interest Rate Proxy

Dataset

match amp calc

Empirical analysis combiningbull Mortgage loan data (TREPP) bull Energy use data (Benchmarking disclosure)

8

Default risk and source EUI (cont)

The coefficient estimates for BOTH the Electricity Price Gap and Source EUI are significant at better than the 05 level of statistical significance

bull The higher the Source EUI (the more energy usage per square foot) the higher the likelihood of default

bull The higher the Electricity Price Gap (the larger the difference between the actual and the expected electricity prices since the loan origination) the higher the likelihood of default

Office + Retail ndash Linear probability model

9

Default risk and source EUI

Coefficient Estimate Standard Error

Intercept -040444 018466Log Source EUI 007335 003129

Origination Loan-to-Value Ratio 000258 000096

Coupon Spread to 10 Year Treasury 002188 001565

Electricity Price Gap 000003 000001

Time to Maturity on Balloon -000189 000060

Origination Year Fixed Effects Yes

473 observations R2 = 1052 plt01 plt005 plt001

Office + Retail ndash Linear probability model

10

Default risk and source EUI (cont)

Coefficient estimates are significant and robust for three cohorts all buildings Office + multiuse + retail office only Coefficient estimates for electricity price gap significant for all buildings

office + multiuse + retail Consistent results for linear probability and logistic regression models

11

Analysis using Scaled Source EUI ndash Linear probability model

Ratio of Source EUI to NOI(floor area)

Default risk and source EUI (cont)

Coefficient Estimate Standard Error

Intercept -000538 011067Scaled Source EUI 000183 0000369

Origination Loan-to-Value Ratio 000263 000117

Coupon Spread to 10 Year Treasury 000751 0040

Electricity Price Gap 000003 000001

Time to Maturity on Balloon -000203 000068

Origination Year Fixed Effects Yes

339 observations R2 = 1768 plt01 plt005 plt001

Scaled Source EUI (Office + MU + Retail) ndash Linear probability model

12

What are the impacts on specific loansCollaborate with lenders to 1 Demonstrate impact of energy use and price on specific mortgage loans2 Develop recommendations

Approach Compile info from Appraisals PCAs

other sources Estimate source EUI variations

Simulation and empirical approaches

Compute electricity price gap using forward curves

Compute default risk impact due to source EUI and electricity price gap

13

Case Studies

Denver Office

Denver Hotel

San Francisco Multi-family

San Jose Office Sonoma Office

Denver Office ndash energy use and default riskFacilities Management factors HVAC schedule Thermostat setback Supply air temp control VAV min flow control Economizer controls Lighting controlsLevels good average poor

Occupancy factors Occupant density Occupant schedule Plug load density Plug load controlsLevels goodlow average poorhigh

CaseFacilities mgmtfactors

OccupancyFactors

Source EUI change ()

Default risk change (bp)

1 Good GoodLow -54 -248

2 Good Ave -33 -127

3 Ave Ave - -

4 Good PoorHigh +4 +12

5 Poor GoodLow +64 +158

6 Poor Ave +76 +181

7 Poor PoorHigh +132 +268

15

Denver Office ndash energy price and default risk

16

Case Studies ndash summary of risks impacts

Building Source EUI variation ()

Default rate variation (bp)

Default rate variation relative to TREPP avg ()

Denver Office -54 to +132 -248 to +268 -31 to +34

Sonoma Office -40 to +183 -161 to +331 -20 to +41

San Jose Office -62 to +119 -308 to +249 -39 to +31

Denver Hotel -11 to +17 -37 to +49 -5 to +6

San Francisco Multi-family -20 to +26 -72 to +74 -9 to +9

Wholesale price region Default rate variation (bp) Default rate variation relative to TREPP avg ()

Denver area +159 to +501 +20 to +63

Northern California -49 to +705 -6 to +88

Compare to TREPP average default rate of 800bp

17

Case Studies ndash business impactThese results showing the impact of energy on default risk are clearly meaningful I dont currently consider energy efficiency when making a loan and seeing this makes me think I would want to ask about itrdquo

I would like to apply these findings but would want an easy way to use it A simple score or ratio for energy risk would be good In fact I would be interested to pilot test it

Keith Hanley Silicon Valley Bank

18

Looking Ahead

Looking Ahead ndash our visionTo have energy factors fully and routinely incorporated in commercial mortgage valuation accelerating demand for buildings with lower energy risk

20

Show that energy matters

Develop and pilot

interventions Disseminate

best practices Institutionalize

Analysis of energy impacts

Long term

Case studies on actual mortgage loans

Protocols and tools for lenders and owners

Industry Standards

Scope of current effort

RecommendationsLenders Ask owners to provide info on energy cost range

Account for variations in energy use and energy price Could be done as part of Property Condition Assessment Can reference ASTM standard

Incorporate energy risk factor into underwriting and terms eg Interest rate discount for lower risk

Offer additional loan proceeds for EE investments

Owners Ask lenders to account for energy efficiency when setting mortgage

terms Provide data on energy costs to lender

Historical and anticipated In appraisal andor PCA

21

Thank you

Money Matters Exploring the Financial Impacts of Green Certifications in the Multifamily Rental Sector

Erin A Hopkins PhD CAPS LEED Green AssociateAssistant Professor of Property Management

bull Sample 153 properties from 2 of National Multifamily Housing Councilrsquos 2016 50 Largest Apartment Managers

bull Green-certified 2288 of properties (35 properties)bull Methodology Multiple Regression Analysisbull Controls Location Fitness Center Pool Outdoor Common Area Walk

Score of Unfurnished Apartments Average Apartment Unit Size Age Building Mix

bull Limitations Building class not directly taken into account

Overview of Research

Certifications Represented in Sample

Austin Energy Green Buildingreg (AEGB)

Rating System(3)

ENERGY STARreg

(1)

Florida Green Building Coalition

(FGBC)(1)

GreenPoint Rated(4)

LEEDreg

(16)

National Green Building Standardtrade

(NGBS)(11)

Properties by City

2

4

2 2 21 1

3

1 1 12 2

1 1 1

6

1 1

8

11

4

6

14

3

1

19

3

1 1

7

43

2

9

18

2 2

0

2

4

6

8

10

12

14

16

18

20

Summary Statistics of City Datan=153

Summary Satistics of City Data Green Bldgs Summary Satistics of City Data Non-Green Comparables

Descriptive

97

71

100

31

89

69

93

24

0

20

40

60

80

100

120

Fitness Center Pool Outdoor Common Area Mixed-Use Property

Summary Statistics of Green vs Non-Green Propertiesn = 153

Green Non-Green

Descriptive

73228

866

2011

74

259

894

2003

0

500

1000

1500

2000

2500

Walk Score Average Number of Units Average Apt Unit Size (sf) Age

Summary Statistics of Green vs Non-Green Properties

n = 153

Green Non-Green

Findings

Total Rents Collected1047

Total Maintenance1254

Property Insurance1319

Total Expenses1311

Higher rents and expenses

Financial Impacts of Green

Dependent Variable Per Square Foot Per Apartment Per PropertyTotal Rents Collected 247$ 2189$ 551683$ Subtotal Maintenance 020$ 178$ 44843$ Property Insurance 005$ 42$ 10601$ Total Expenses 112$ 990$ 249535$

Coefficients Standard Errors

Tables

Summary of Green Impacts

Summary Table

Discussion

bull Assume efficient operations will offset the higher rent

bull Philanthropic motivesbull Prestige motivesbull Green buildings tend to be newermore

likely to offer the more sought-after amenities and finishes

bull Tend to be in higher-income areaslikely have higher rents

Different motivations for paying higher rent may be in

play

Discussion

Higher Operating Expenses a Surprise

Does not align with much of the existing researchhellipbut no research on effects of green certification on total operating expenses within multifamily rental sector

Many of the certifications represented in this study focus on the design phase of the property vs the operations and maintenance phase

And although promotion of sustainability is on the rise in the multifamily housing sector staff may remain unfamiliar with the unique operations and maintenance of green

buildings

Final Thoughts

Apartment homes represent $13 trillion to the US economy and 5 million new rental households are expected by 2023 (National Multifamily Housing Council 2015)

Upfront capital constraints regulatory issues knowledge limitations and marketing concerns may diminish the attractiveness of multifamily rental green building

certification if not properly managed

Most studies focus on office sector andor strictly rents or property value

This study begins to look at the multifamily rental sector and offer a more comprehensive analysis

Further research is needed with larger datasets to understand effects of green certification on income statement components in the apartment industry as NOI

ultimately determines property market valueOptimism that this study can be the impetus for further research contributions on the

financial environmental and resident satisfaction impacts of green practices and certifications on the multifamily rental sector

Contact informationErin A Hopkinserinz1vtedu

Acknowledgementsbull Todd Feist Sustainability Program Manager at The Institute of

Real Estate Management (IREMreg) for his assistance with this research project

bull Yardi and IREMreg for the grant awarded to support this researchbull The two property management companies for sharing their data

BUILDING PERFORMANCE

UNLOCKINGVALUE

New DOE-driven Research Around High Performing Buildings

AUGUST 23 2018

ANDREW WHITEASSOCIATE MANAGERawhiteretechadvisorscom

2015-2016 bull Research design working group pilot study data lab

2017 bull Connect to Real Estate Research Institute (RERI) Literature review and gap analysis

2018 bull Research agenda request for proposals research project selection and execution

Context Setting ndash DOE Research EffortWhat are the impacts of energy efficiency and high-performance building

features on financial performance of commercial real estate

RERIrsquos mission is to encourage and reward research on real estate as an investment and as an asset class that is both academically rigorous and of value to the institutional real estate investment profession In addition RERI serves to provide a forum through which the real estate academic professional and regulatory communities can interact facilitating the exchange of insights amongst these stakeholders

RERI Overview

Sponsors

Build upon DOErsquos Review of Studies in the Market

bull Focus explicitly on peer-reviewed papers Gap analysis of existing research to

identifybull Questions that have already been

sufficiently provenbull Holes in existing body of research

Academic Inputbull Guidance on which studies to includebull Suggestions for how to conduct analysis

Literature Review Objectives

Literature Review Results

LEED

ENER

GY

ST

AR

labe

l

ENER

GY

ST

AR

sc

ore

Ener

gy u

se

BR

EEA

M

Ener

gy

Perf

orm

anc

e Cer

tific

ates

(U

K)

BO

MA

B

EST

Wal

kabi

lity

Non

-ene

rgy

gree

n fe

atur

es

Oth

er

Rent 20 18 1 2 2 2 1 1 1Rent concessions 1 1 1Sales price 9 11 1 1 1 1Assessed value 2 2Market value 1 2 1 2 1Occupancy 10 9 1Lease renewals 1 1 1Service charge 1Operating cost 2 3Energy cost 2 3Tenant satisfaction 1 1 1Sales time 1 1Default rate 2 1Capitalization rate 1 2 2 1Net operating income 1 1 1Loan to value ratio 1 1Debt service coverage ratio 1 1Worker productivity 1 1Other 5 4 1 4 2 2

There is considerable evidence that green building certifications correlate with increased economic value primarily via higher rents and sales prices

bull How do we move beyond certification to analyze performancebull Correlation vs Causation

bull What is driving added value Is it green features and efficiency the green labels themselves or other desirable features often included in certified buildings

Panel studies could help reduce some of the uncertainty and noise Full results presented at ACEEE Summer Study

bull Raising the Rent Premium Moving Green Building Research Beyond Certifications and Rent

bull Cindy Zhu Andrew White Paul Mathew Jeff Deason Philip Coleman

Literature Review Results

Research Agenda Core QuestionldquoHow does ltenergygreen metricgt affect ltfinancial value metricgtrdquo

EnergyGreen Metric

Site energy use or EUI

Source energy use or EUI

Energy cost or costsf

ENERGY STAR score

ENERGY STAR label

Green Building Certification (LEED BOMA 360)

Green Building Certification level (eg LEED Silver Gold)

Financial Value Metric

VacancyOccupancy Sales Price

Leasing Velocity (absorption speed of sales leasing)

Regulatory amp Compliance Risk

Tenant Renewals Insurance (rates ability)

Tenant Satisfaction Default Risk

Rental Income and Rent Concessions Debt Service Coverage Ratio

Marketing Costs Access to Funding

Utility Costs Maintenance OpEx Interest Rates

Obsolescence Reserves

Capitalization Rates

12 proposals received 5 projects selected Criteria

bull Department of Energy goals

bull Impact on Commercial Real Estate (CRE) Industry

bull Feasibility and Interest

bull Quality and Validity

Proposal Reviews

Jim Clayton Avis Devine (York University) and Rogier Holtermans(University of Guelph) Analyzing four types of energy

efficiency interventions on financial components that impact property-level NOI

bull How do interventions impact different aspects of building operations and their subsequent financial impact

Beyond Environmental Building Certification The Impact of Environmental Interventions on Commercial Real Estate Operations

Piet Eichholtz and Nils Kok (Maastricht University) and RogierHoltermans (University of Guelph) Three key questions

bull How is environmental building certification related to commercial building energy consumption

bull How does aging affect the energy consumption of the commercial building stock

bull To what extent do specific energy efficiency investments affect energy consumption in commercial real estate

The Dynamics of Energy Consumption in Commercial Real Estate

Sofia Dermisi Chris Lee and YoungjinChoe (University of Washington) Exploring the effect of disclosure

policies on office building marketability while assessing potential links between market performance of sustainable assets

bull Before and after the disclosure policies while considering market cycles

bull Before and after ENERGY STAR andor LEED certification

Markets included San Francisco Washington DC

Effect of Energy Benchmarking and Disclosure on Office Building Marketability

Dirk Brounen (Tilburg University) and Gianluca Marcato (Reading University) Analyzing the adoption of GRESB within the public real estate markets and

predicting a potential impact of GRESB scores on REIT returns

Sustainable Insights and Public Real Estate Performance GRESB Effects in REIT Markets

Constantine Kontokosta (New York University) Franz Fuerst(Cambridge University) Gary Pivo (University of Arizona) amp Jacob Sagi (UNC Chapel Hill) Utilizing NYC data to empirically model

bull the spread between the premium for labeled (energy efficient) buildings and the cost to retrofit an under-performing building to meet the same standard which will allow us to understand how much of the observed premium is attributable to energy efficiency and how much can be assigned to other perceived benefits (marketing construction quality etc)

bull the hurdle rate for energy retrofit investments using actual audit data and permitted renovation work

Estimating Office and Residential Building Energy Retrofit Hurdle Rates and Risk Arbitrage in Energy Efficiency Investments

Collecting data for continued Data Lab analysis Presenting Research findings

bull Interim research results ndash IPC Research Symposium (October)bull Greenbuild Session (November)bull RERI Research Conference (April)bull Final research results ndash Better Buildings Webinars Summit 2019 (TBA)

Work with DOE case study and data analysis opportunities abound

Next Steps

Paul Mathew

Lawrence Berkeley National Laboratorypamathewlblgov

Paulo Issler

University of California Berkeleypauloisslerberkeleyedu

Erin Hopkins

Virginia Techerinz1vtedu

Andrew White

RE Tech Advisorsawhiteretechadvisorscom

Contact Info

  • Slide Number 1
  • Business Case 20 New Research Around High Performing Buildings
  • Panelists
  • Energy and Default Risk in Commercial Mortgages
  • Paulo Issler
  • Acknowledgements
  • The link between energy and CRE mortgages
  • Approach Impact of energy on default rate
  • Default risk and source EUI (cont)
  • Default risk and source EUI
  • Default risk and source EUI (cont)
  • Default risk and source EUI (cont)
  • What are the impacts on specific loans
  • Case Studies
  • Denver Office ndash energy use and default risk
  • Denver Office ndash energy price and default risk
  • Case Studies ndash summary of risks impacts
  • Case Studies ndash business impact
  • Looking Ahead
  • Looking Ahead ndash our vision
  • Recommendations
  • Slide Number 22
  • Money Matters Exploring the Financial Impacts of Green Certifications in the Multifamily Rental SectorErin A Hopkins PhD CAPS LEED Green AssociateAssistant Professor of Property Management
  • Overview of Research
  • Certifications Represented in Sample
  • Properties by City
  • Descriptive
  • Descriptive
  • Findings
  • Financial Impacts of Green
  • Discussion
  • Discussion
  • Final Thoughts
  • Slide Number 34
  • Slide Number 35
  • Context Setting ndash DOE Research Effort
  • RERI Overview
  • Literature Review Objectives
  • Literature Review Results
  • Literature Review Results
  • Research Agenda Core Question
  • Proposal Reviews
  • Beyond Environmental Building Certification The Impact of Environmental Interventions on Commercial Real Estate Operations
  • The Dynamics of Energy Consumption in Commercial Real Estate
  • Effect of Energy Benchmarking and Disclosure on Office Building Marketability
  • Sustainable Insights and Public Real Estate Performance GRESB Effects in REIT Markets
  • Estimating Office and Residential Building Energy Retrofit Hurdle Rates and Risk Arbitrage in Energy Efficiency Investments
  • Next Steps
  • Contact Info
Y Term ~Bias Estimate EXP estimate Practical Interpretation increasedecrease Std Error DFDen t Ratio Probgt|t| Log(Vacancies amp Rent Loss rentable sf) Log(Total Rents Collected rentable sf) Log(Total Actual Collections rentable sf) Log(Management Fee rentable sf) Log(Total Utilities Rentable sf) Log(MampR rentable sf) Log(Subtotal Maintenance rentable sf) Log(Property Insurance rentable sf) Log(Total All Expenses Rentable sf) Log(NOI Rentable sf) Concessions rentable sf
Log(Vacancies amp Rent Loss rentable sf) Intercept 00893029328 10934118365 934 06116337119 1083785495375 01460072116 08841869197 Green Certified (1=yes 0=no)[Yes] -00318 01047 00991
Log(Vacancies amp Rent Loss rentable sf) Green Certified (1=yes 0=no)[Yes] -0031825668 09686754385 -313 009164153 139931853592 -03472843369 07288994904 Gym (1=yes 0=no)[Yes] 01060 00708 00767
Log(Vacancies amp Rent Loss rentable sf) Gym (1=yes 0=no)[Yes] 01007730854 11060256399 1060 01479591517 1412043780621 0681087207 0496931725 Pool (1=yes 0=no)[Yes] 01126 00089 00131
Log(Vacancies amp Rent Loss rentable sf) Pool (1=yes 0=no)[Yes] 01125884395 11191712315 1192 0113345701 506840641957 09933190097 032527325 Outdoor Common Area (1=yes 0=no)[Yes] 02673 -00803 -00764
Log(Vacancies amp Rent Loss rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 02672618233 13063824429 3064 01690835398 1429144230275 15806495624 01161688791 Walk Score 00102 00065 00066
Log(Vacancies amp Rent Loss rentable sf) Walk Score 00101642302 10102160615 102 00040763935 1219632686439 24934369735 00139912712 of Unfurnished Apartments -00003 -00009 -00008
Log(Vacancies amp Rent Loss rentable sf) of Unfurnished Apartments -0000250981 09997490505 -003 00006011213 142449410245 -04175214322 06769256723 Average Apt Unit Size -00003 -00002 -00002
Log(Vacancies amp Rent Loss rentable sf) Average Apt Unit Size -00002575258 09997425074 -003 00004990119 1315989429881 -05160713681 06066705884 Age -00026 00008 00015
Log(Vacancies amp Rent Loss rentable sf) Age -00026152008 09973882158 -026 00056263988 1391583522195 -04648090107 06427946925 Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00099 00043 00252
Log(Vacancies amp Rent Loss rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00099001013 10099492694 099 0100821633 1384002310718 00981942166 09219201454
Log(Total Rents Collected rentable sf) Intercept 30195696974 204824761253 194825 04164909532 1420770663705 72500246992 0
Log(Total Rents Collected rentable sf) Green Certified (1=yes 0=no)[Yes] 00996165255 11047471944 1047
Hopkins Erin Hopkins Erincant provide a confidencd interval for it
00590542761 1286416575023 16868638818 0094053065
Log(Total Rents Collected rentable sf) Gym (1=yes 0=no)[Yes] 00684081888 10708023088 708 0096210834 1330244953516 07110237581 04783143732
Log(Total Rents Collected rentable sf) Pool (1=yes 0=no)[Yes] 00088712036 10089106694 089 00916333982 708572236354 00968119025 09231490817
Log(Total Rents Collected rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00836597449 09197441505 -803 01126005752 1404546011941 -07429779537 04587359136
Log(Total Rents Collected rentable sf) Walk Score 0006479206 10065002414 065 0002794287 1413201347208 23187331419 00218436949
Log(Total Rents Collected rentable sf) of Unfurnished Apartments -00008678845 0999132492 -009 00003932429 1359586026848 -22069932213 00289920945
Log(Total Rents Collected rentable sf) Average Apt Unit Size -00002078918 09997921298 -002 00003300088 1382568544162 -06299582685 05297616269
Log(Total Rents Collected rentable sf) Age 00008364704 10008368204 008 00037477419 1387794745176 02231931757 08237133506
Log(Total Rents Collected rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00042999624 10043092206 043 0069466499 142786243042 00618998008 09507291881
Log(Total Actual Collections rentable sf) Intercept 30681072891 215011686418 205012 04070110501 1415072794017 75381424868 0
Log(Total Actual Collections rentable sf) Green Certified (1=yes 0=no)[Yes] 00944491888 10990533175 991 00578900924 1291837028308 16315259643 01052148631
Log(Total Actual Collections rentable sf) Gym (1=yes 0=no)[Yes] 00739127176 10767128233 767 0094247393 1335821297113 07842415071 04342868782
Log(Total Actual Collections rentable sf) Pool (1=yes 0=no)[Yes] 00130418887 10131273051 131 00885804441 654593026021 01472321442 08834013324
Log(Total Actual Collections rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00794248992 0923647384 -764 01101507414 1410305976559 -07210564195 04720684016
Log(Total Actual Collections rentable sf) Walk Score 00065530115 10065745295 066 00027272037 14047408887 24028316857 00175745575
Log(Total Actual Collections rentable sf) of Unfurnished Apartments -0000833078 09991672689 -008 00003850262 1365168778586 -21636916411 00322285543
Log(Total Actual Collections rentable sf) Average Apt Unit Size -00002169447 09997830788 -002 00003233576 1393662972101 -06709126047 05033865944
Log(Total Actual Collections rentable sf) Age 00015178151 10015189676 015 0003670824 1398532082324 04134807595 06798877496
Log(Total Actual Collections rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00249154485 10252284322 252 0067842812 1423468871242 03672525904 07139760316
Log(Management Fee rentable sf) Intercept -02128803278 08082528568 -1917 04254329778 585619088893 -0500385111 06186792644
Log(Management Fee rentable sf) Green Certified (1=yes 0=no)[Yes] 0019865513 10200641454 201 00593086525 1354977267554 03349513461 07381797603
Log(Management Fee rentable sf) Gym (1=yes 0=no)[Yes] -00082052627 09918283086 -082 00958032958 1386068833723 -00856469772 09318706455
Log(Management Fee rentable sf) Pool (1=yes 0=no)[Yes] 00174275629 10175803089 176 00771880661 202180965349 02257805358 08236388274
Log(Management Fee rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00153191452 10154370848 154 01103651216 1423896402644 01388042255 08898009734
Log(Management Fee rentable sf) Walk Score 00070459229 10070708039 071 00028008303 805559990921 25156550566 0013868745
Log(Management Fee rentable sf) of Unfurnished Apartments -0001358177 09986427449 -014 00003916726 1421224837061 -34676335479 00006950146
Log(Management Fee rentable sf) Average Apt Unit Size -00005130214 09994871101 -005 00003375961 1007585612206 -15196307445 0131735624
Log(Management Fee rentable sf) Age 00013613923 10013623194 014 00037151697 1277713043957 03664414822 07146417588
Log(Management Fee rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -00674463479 09347778721 -652 00657081953 1299283630266 -10264525997 03065854809
Log(Total Utilities Rentable sf) Intercept -03748562337 06873880949 -3126 04464274077 1402143832266 -08396801522 04025171642
Log(Total Utilities Rentable sf) Green Certified (1=yes 0=no)[Yes] 00873163337 10912418217 912 0064576715 1358457024729 13521334071 01785794114
Log(Total Utilities Rentable sf) Gym (1=yes 0=no)[Yes] 01175979311 11247917766 1248 01048349264 1384172144229 11217438221 02639135776
Log(Total Utilities Rentable sf) Pool (1=yes 0=no)[Yes] 00115680134 10116351816 116 00928512423 72633370166 01245865221 09011950626
Log(Total Utilities Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00222539972 10225034645 225 01216524447 1425571484619 01829309493 0855112103
Log(Total Utilities Rentable sf) Walk Score 00068649233 10068885409 069 00029812807 1396033046894 23026759291 00227754146
Log(Total Utilities Rentable sf) of Unfurnished Apartments -00006773222 09993229071 -007 00004273761 1401067188346 -15848386198 01152575495
Log(Total Utilities Rentable sf) Average Apt Unit Size -00003442022 0999655857 -003 00003581401 1425120147852 -09610825805 03381384619
Log(Total Utilities Rentable sf) Age 00048795122 10048914364 049 00040600929 1425855030198 12018227897 02314244716
Log(Total Utilities Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -01198355423 08870663096 -1129 00742421382 1413320388001 -16141176043 01087323819
Log(MampR rentable sf) Intercept -09030689887 04053238148 -5947 0437858541 1384008312652 -20624674504 00410332652
Log(MampR rentable sf) Green Certified (1=yes 0=no)[Yes] 00937424436 10982768413 983 00639155521 1376081716673 14666609392 01447499128
Log(MampR rentable sf) Gym (1=yes 0=no)[Yes] 00037664885 10037735907 038 01036113865 1396450691334 00363520715 09710535435
Log(MampR rentable sf) Pool (1=yes 0=no)[Yes] 01319613595 11410642271 1411 00887446725 719561267791 14869778183 0141389644
Log(MampR rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00521515872 09491849716 -508 01197720975 1428478988157 -04354235112 06639122497
Log(MampR rentable sf) Walk Score 00110131704 10110740386 111 00029197236 1385662208531 37719907631 00002391344
Log(MampR rentable sf) of Unfurnished Apartments -00008849955 09991153959 -009 00004219429 1410140957414 -20974297602 0037740228
Log(MampR rentable sf) Average Apt Unit Size 00000594506 10000594524 001 0000353075 1429981472006 01683796031 08665225748
Log(MampR rentable sf) Age 0007624822 1007653965 077 00039990018 142990029884 19066812998 00585678315
Log(MampR rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00598131349 10616381449 616 00727173027 1406732379184 08225433659 04121598071
Log(Subtotal Maintenance rentable sf) Intercept -07997344997 04494482769 -5506 0489167182 1380935604874 -16348899298 01043496414
Log(Subtotal Maintenance rentable sf) Green Certified (1=yes 0=no)[Yes] 01180969773 11253532398 1254 00707986514 1348907221481 16680681771 00976219515
Log(Subtotal Maintenance rentable sf) Gym (1=yes 0=no)[Yes] 00409351965 10417845921 418 01148796072 1378640116803 03563312718 07221372278
Log(Subtotal Maintenance rentable sf) Pool (1=yes 0=no)[Yes] 01515780559 11636691295 1637 0100780712 617547240206 15040383505 01376688864
Log(Subtotal Maintenance rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -0078076377 09248937833 -751 01331885868 1426567369893 -05862092154 05586613077
Log(Subtotal Maintenance rentable sf) Walk Score 0011889233 10119601909 120 00032614069 1377504918879 36454307183 00003773801
Log(Subtotal Maintenance rentable sf) of Unfurnished Apartments -00008153416 09991849907 -008 00004682078 1398534995511 -17414095506 00838107083
Log(Subtotal Maintenance rentable sf) Average Apt Unit Size 00005083484 10005084776 005 00003930253 1428434249161 12934242295 01979520949
Log(Subtotal Maintenance rentable sf) Age 00104106727 10104650523 105 00044515054 1428449267664 23386858733 00207383998
Log(Subtotal Maintenance rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 02440298206 12763823925 2764 0081177414 1402563601749 30061295196 00031359748
Log(Property Insurance rentable sf) Intercept -08916874806 04099633635 -5900 04516384713 1429624291993 -19743390727 00502702101
Log(Property Insurance rentable sf) Green Certified (1=yes 0=no)[Yes] 01239058141 11319092561 1319 0062692592 1281678143933 19764027959 00502564371
Log(Property Insurance rentable sf) Gym (1=yes 0=no)[Yes] -0003522638 09964835593 -035 01024969537 1314939748594 -0034368221 09726356404
Log(Property Insurance rentable sf) Pool (1=yes 0=no)[Yes] 00227423743 10230029538 230 01040308572 1125700947624 02186118131 08273482928
Log(Property Insurance rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00155809876 10157030041 157 01206677853 1368483458399 01291230096 08974498986
Log(Property Insurance rentable sf) Walk Score 00072977866 10073244804 073 00030353828 1428602075435 24042392705 00174877086
Log(Property Insurance rentable sf) of Unfurnished Apartments -00010061941 09989943119 -010 0000420017 1337858380697 -23956034086 00179774093
Log(Property Insurance rentable sf) Average Apt Unit Size -00006330482 09993671521 -006 00003514502 1338864329416 -18012458048 0073914725
Log(Property Insurance rentable sf) Age 00009661099 10009665767 010 00039921418 1338497494964 02420028921 08091483095
Log(Property Insurance rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -00520208103 09493091112 -507 00749301111 1411273861679 -06942577501 04886618561
Log(Total All Expenses Rentable sf) Intercept 17410862845 57035357214 47035 03946731547 141889623796 44114636723 00000201648
Log(Total All Expenses Rentable sf) Green Certified (1=yes 0=no)[Yes] 01231722438 11310792255 1311 00565275641 1341244163534 21789766772 00310802733
Log(Total All Expenses Rentable sf) Gym (1=yes 0=no)[Yes] 00096244971 10096709615 097 00919378962 1370603130567 01046847658 09167789899
Log(Total All Expenses Rentable sf) Pool (1=yes 0=no)[Yes] 01610294116 11747195186 1747 00846545666 801516751987 19021940341 00607378863
Log(Total All Expenses Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00361842114 09644626121 -355 01071504659 1418739239709 -03376953252 07360919324
Log(Total All Expenses Rentable sf) Walk Score 00087371658 10087754463 088 00026426023 1411809488418 33062734678 00011989895
Log(Total All Expenses Rentable sf) of Unfurnished Apartments -00008720665 09991283137 -009 00003752966 1389800988186 -23236728617 00215934791
Log(Total All Expenses Rentable sf) Average Apt Unit Size -0000155413 0999844599 -002 00003145108 1409449329598 -0494142052 06219751067
Log(Total All Expenses Rentable sf) Age 00015666155 10015678433 016 00035695206 1412387206124 04388868073 06614142124
Log(Total All Expenses Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00157918953 10159172462 159 00657593447 1424551160559 02401467861 08105616925
Log(NOI Rentable sf) Intercept 27416093787 155119295878 145119 049686036 1426328429735 55178669889 0000000157
Log(NOI Rentable sf) Green Certified (1=yes 0=no)[Yes] 00932241108 10977077159 977 00701671113 1292740226257 13286012361 01863200879
Log(NOI Rentable sf) Gym (1=yes 0=no)[Yes] 0111280688 11177085902 1177 0114413579 13320261997 09726178396 03325061802
Log(NOI Rentable sf) Pool (1=yes 0=no)[Yes] -00608871507 0940929417 -591 01107002034 838263437204 -05500184174 05837693269
Log(NOI Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -01393113526 08699571229 -1300 01340931949 1397855428856 -10389144106 03006382455
Log(NOI Rentable sf) Walk Score 00045000262 10045101666 045 0003337636 1423581725818 13482675372 01797136327
Log(NOI Rentable sf) of Unfurnished Apartments -00007116645 09992885887 -007 00004679272 1358400867851 -15208872073 01306124688
Log(NOI Rentable sf) Average Apt Unit Size -00001937801 09998062387 -002 00003921685 1372175013367 -04941245389 06220083144
Log(NOI Rentable sf) Age 00034607088 1003466704 035 00044548378 1376438770548 07768428318 04385844885
Log(NOI Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00488697769 10500835966 501 00828565286 1429949688826 05898120243 0556247504
Concessions rentable sf Intercept 0091580439 10959049266 959 12772069558 1418541020247 00717036801 09429387231
Concessions rentable sf Green Certified (1=yes 0=no)[Yes] 01110697527 11174728508 1175 01814813765 1293641668833 06120173584 05416004511
Concessions rentable sf Gym (1=yes 0=no)[Yes] -05094051331 06008529 -3991 02955403985 1336296409402 -17236395961 00870857294
Concessions rentable sf Pool (1=yes 0=no)[Yes] -00886152984 09151975838 -848 02791864929 69298361986 -03174053928 07518903943
Concessions rentable sf Outdoor Common Area (1=yes 0=no)[Yes] 04576291372 15803228114 5803 03455726285 1408379747117 13242632646 01875606951
Concessions rentable sf Walk Score 00120688741 10121419968 121 00085630896 1409791646097 14094064916 01609170757
Concessions rentable sf of Unfurnished Apartments -00007045588 09992956894 -007 00012075862 1364744404696 -05834438741 05605574922
Concessions rentable sf Average Apt Unit Size -00003193903 09996806607 -003 00010135961 1389703034326 -03151061148 07531537379
Concessions rentable sf Age 00130223218 10131074815 131 00115086772 139464867267 11315220311 02597773256
Concessions rentable sf Building Mix (0=multifamily 1 = mixed-use)[Mixed] -03719888249 06893619462 -3106 02129597676 1426034459287 -17467563435 00828326573
Y Term Practical Interpretation increasedecrease Probgt|t| Total Rents Collected Subtotal Maintenance Property Insurance Total Expenses
Log(Total Rents Collected rentable sf) Green Certified (1=yes 0=no)[Yes] 1047
Hopkins Erin Hopkins Erincant provide a confidencd interval for it
009 130837635934 13311489362 01847683215 67633617021
Log(Subtotal Maintenance rentable sf) Green Certified (1=yes 0=no)[Yes] 1254 010 267662568114 08839769656 0489370035 133484365708
Log(Property Insurance rentable sf) Green Certified (1=yes 0=no)[Yes] 1319 005 44887430941 07758149459 02417429373 41261056301
Log(Total All Expenses Rentable sf) Green Certified (1=yes 0=no)[Yes] 1311 003 103066299601 12390720963 00474343371 5067818194
206907297628 2385711159 02072356932 9194606526
318766961061 22633758919 04452208547 128154919371
92461669878 09545425866 01280485733 38832017239
143925847783 15966970999 02187893202 54018796992
176714125561 02006495648 02876780533 58992020575
232897515382 0726170332 00787094673 69517596041
Non-green sf average Financial Green Impact sf Financial green impact differencesf Green impactapt Green impactproperty 51780910259 05203453537 00494304264 22609306646
178353784788 17547710996 02048626598 95961490345
Total Rents Collected sf 1047 2356 2603 $ 247 $ 2189 $ 551683 113769814112 12206875575 03432049607 118156743193
Subtotal Maintenance sf 1254 160 180 $ 020 $ 178 $ 44843 301239240258 10561596849 0204970258 110903994641
Property Insurance sf 1319 036 041 $ 005 $ 42 $ 10601 918584487 08376649832 00914663991 4146546939
Total Expenses sf 1311 852 963 $ 112 $ 990 $ 249535 265183769576 19294929362 03500602344 108447158033
226055903548 13557897255 03988791741 10971207244
334894587007 17970717884 05122599181 124640467569
5542518821 31394328066 04875650977 200668786372
112655732059 13445692884 02031297086 43995867235
129139526152 1168069688 00518980213 4651511283
Avg Apt Size Avg of Units 151098478261 13975 02004130435 51873478261
192155046737 21015937064 02616549091 8357602264
887 252 514840434082 52766375656 02375463267 174375582672
81421971535 06694487849 00899424521 2748686222
30246817244 21594341279 03308639536 97277207077
488523197409 27727612187 0646599696 130752346177
318750561687 38903340576 03852711795 142409683793
310384048163 43119745565 03335824966 138846874251
Green Certification Impacts 48578215663 0350218077 03095574205 23695139998
Dependent Variable Per Square Foot Per Apartment Per Property 192237574111 13374121765 02053242615 84027476689
Total Rents Collected $ 247 $ 2189 $ 551683 62979912788 05343191729 00816289996 45390243161
Subtotal Maintenance $ 020 $ 178 $ 44843 148378959661 14651715909 02004049722 80900580942
Property Insurance $ 005 $ 42 $ 10601 196798863889 11267176542 02499920663 90266351433
Total Expenses $ 112 $ 990 $ 249535 281508617823 09686995581 01118170881 119863342059
58584849751 0106864586 04187933949 44180073736
126756167712 1265684516 02796423029 87538414144
176550549412 24957340254 02343899179 88904473415
252421786235 28063734042 03142238564 133776179357
191875932907 13637043757 03440324697 987034902
159508092934 13109374847 02091697013 98967206196
342739845467 09614092295 03929892961 129755936769
192510355167 32804720611 01743191858 134560085596
257829360401 13666691797 01527100011 56329812754
358622391559 14251973427 03437553732 101098436889
217744157919 24046486586 01864745418 68711016642
222112557003 22022148788 07879755849 97807110765
202535763689 04548110217 10003436751 127886698915
155879815194 23816051158 04816227091 119033557201
11066078843 23413202706 06413902496 81812176347
151924709838 18873401649 05711000232 105403544539
163604010853 16052949068 02714509557 82030431823
133974400047 11018949984 03560839935 59096477943
133528448829 13647819036 02538331588 66159357367
187400008959 16889788117 030870974 115752907975
155246293804 18308314258 03852380906 116657595614
34082816218 05447090935 09838411173 13641308574
201220131342 11192465065 03188344246 93786154242
139108532616 13313944086 03887737775 69698295902
191656858207 15717927807 06002115982 119380046581
200921599083 12597596226 03267106334 82474085087
57536742874 00453219212 00300766262 10569757217
120548294116 11607892527 03275736725 74435143659
123188534664 1404028789 03510968138 78762080781
59543029729 0899713372 01652374748 28143456117
144215639215 19193238703 02899837711 67370054173
340046684831 19619729415 04325060698 120608464163
208244777176 28183367899 037 73104355304
234349752613 19432301154 0351134881 107484594815
136370903402 17029933791 01989576534 50899930579
149968383478 14209793679 02735642323 63813718869
81145819519 0920766851 00474564037 30674168785
226307446224 12529424404 02036192613 69235920453
132787305462 08047482453 01232346659 41808605432
251519090044 21798380428 0376480317 80396623551
492269138212 12196979039 02981674812 128316943664
107177195916 08016374211 0113808252 40618650625
128238528886 10751217142 01843492552 6476830365
57582611557 11908427448 0874334536 134004066235
43835651097 34822540694 03904989384 146763800425
205787355386 1429219053 02624404931 5321754079
463148430769 07709353846 06150738462 101617384615
377949548611 28670972222 08296944444 109743576389
360087564176 03501711352 18551055334 110041072447
18371979614 18232783153 07267294459 61184870906
678035276363 13443501226 10431616676 167533484248
56073359244 10138647576 01591318768 51440832304
189431314891 05101557395 03677787459 41010945328
383550342095 23244425576 04086557393 98151764619
115544349685 03310482653 037 40344851625
7552318246 0955023726 01241945851 24368780848
133083101881 19451300341 00938801919 48731378614
122308363087 13760780005 01439989014 45100624828
84908269322 10857071617 01155797799 36082570734
263116048067 10733627163 041902582 60372732395
76183752731 09621126305 01069925907 26170373239
172494454001 11781600332 03919686814 59016193131
342076422068 22741368431 03165622465 73557085549
215534567901 1485497076 02210396361 49118778428
314593058927 23798916958 02751353803 121998559501
586535191691 21029046354 02109026171 91979074439
138093310078 14595490221 02142269839 44286283792
227203645682 04584630891 05737147639 93344680527
572754455737 17713614269 01642228739 92545561671
60603870458 04541110154 01180884676 15902125521
358781017266 33847643857 06854022643 139200146946
342079216629 24477703832 0463059603 67166143833
651201231187 51019950176 12529595849 222094150831
369798669702 21700816928 0444474205 101410502507
421838575952 28823013788 05443272608 151399739597
626095189209 20826275416 04947814184 184651096472
214882899762 25034709712 06359683889 109534721722
274037120739 26718517094 037 67504928595
252667703737 25588590114 05379535858 109041874345
59253832495 01099622961 04620367393 19262874847
150862851538 18053109961 07398729558 71488607075
111196959019 00928417366 037 09427894164
667360269858 07921160191 02989609494 104670639024
2356 160 036 852
Log(Vacancies amp Rent Loss rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified -00318 00916 -00313 07289
Fitness Center 01008 01480 01060 04969
Pool 01126 01133 01192 03253
Outdoor Common Area 02673 01691 03064 01162
Walk Score 00102 00041 00102 00140
of Unfurnished Apartments -00003 00006 -00003 06769
Average Apt Unit Size -00003 00005 -00003 06067
Age -00026 00056 -00026 06428
Building Mix 00099 01008 00099 09219
Note R2 = 645
Log(Total Rents Collected rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00996 00591 01047 00941
Fitness Center 00684 00962 00708 04783
Pool 00089 00916 00089 09231
Outdoor Common Area -00837 01126 -00803 04587
Walk Score 00065 00028 00065 00218
of Unfurnished Apartments -00009 00004 -00009 00290
Average Apt Unit Size -00002 00003 -00002 05298
Age 00008 00037 00008 08237
Building Mix 00043 00695 00043 09507
Note R2 = 3318
Log(Total Actual Collections rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00944 00579 00991 01052
Fitness Center 00739 00942 00767 04343
Pool 00130 00886 00131 08834
Outdoor Common Area -00794 01102 -00764 04721
Walk Score 00066 00027 00066 00176
of Unfurnished Apartments -00008 00004 -00008 00322
Average Apt Unit Size -00002 00003 -00002 05034
Age 00015 00037 00015 06799
Building Mix 00249 00678 00252 07140
Note R2 = 3219
Log(Management Fee rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00199 00593 00201 07382
Fitness Center -00082 00958 -00082 09319
Pool 00174 00772 00176 08236
Outdoor Common Area 00153 01104 00154 08898
Walk Score 00070 00028 00071 00139
of Unfurnished Apartments -00014 00004 -00014 00007
Average Apt Unit Size -00005 00003 -00005 01317
Age 00014 00037 00014 07146
Building Mix -00674 00657 -00652 03066
Note R2 = 1697
Log(Total Utilities Rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00873 00646 00912 01786
Fitness Center 01176 01048 01248 02639
Pool 00116 00929 00116 09012
Outdoor Common Area 00223 01217 00225 08551
Walk Score 00069 00030 00069 00228
of Unfurnished Apartments -00007 00004 -00007 01153
Average Apt Unit Size -00003 00004 -00003 03381
Age 00049 00041 00049 02314
Building Mix -01198 00742 -01129 01087
Note R2 = 2171
Log(MampR rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00937 00639 00983 01447
Fitness Center 00038 01036 00038 09711
Pool 01320 00887 01411 01414
Outdoor Common Area -00522 01198 -00508 06639
Walk Score 00110 00029 00111 00002
of Unfurnished Apartments -00009 00004 -00009 00377
Average Apt Unit Size 00001 00004 00001 08665
Age 00076 00040 00077 00586
Building Mix 00598 00727 00616 04122
Note R2 = 2620
Log(Subtotal Maintenance rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 01181 00708 01254 00976
Fitness Center 00409 01149 00418 07221
Pool 01516 01008 01637 01377
Outdoor Common Area -00781 01332 -00751 05587
Walk Score 00119 00033 00120 00004
of Unfurnished Apartments -00008 00005 -00008 00838
Average Apt Unit Size 00005 00004 00005 01980
Age 00104 00045 00105 00207
Building Mix 02440 00812 02764 00031
Note R2 = 3218
Log(Property Insurance rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 01239 00627 01319 00503
Fitness Center -00035 01025 -00035 09726
Pool 00227 01040 00230 08273
Outdoor Common Area 00156 01207 00157 08974
Walk Score 00073 00030 00073 00175
of Unfurnished Apartments -00010 00004 -00010 00180
Average Apt Unit Size -00006 00004 -00006 00739
Age 00010 00040 00010 08091
Building Mix -00520 00749 -00507 04887
Note R2 = 3902
Log(Total All Expenses Rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 01232 00565 01311 00311
Fitness Center 00096 00919 00097 09168
Pool 01610 00847 01747 00607
Outdoor Common Area -00362 01072 -00355 07361
Walk Score 00087 00026 00088 00012
of Unfurnished Apartments -00009 00004 -00009 00216
Average Apt Unit Size -00002 00003 -00002 06220
Age 00016 00036 00016 06614
Building Mix 00158 00658 00159 08106
Note R2 = 2943
Log(NOI Rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00932 00702 00977 01863
Fitness Center 01113 01144 01177 03325
Pool -00609 01107 -00591 05838
Outdoor Common Area -01393 01341 -01300 03006
Walk Score 00045 00033 00045 01797
of Unfurnished Apartments -00007 00005 -00007 01306
Average Apt Unit Size -00002 00004 -00002 06220
Age 00035 00045 00035 04386
Building Mix 00489 00829 00501 05562
Note R2 = 3669
Concessions rentable sf
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 01111 01815 01175 05416
Fitness Center -05094 02955 -03991 00871
Pool -00886 02792 -00848 07519
Outdoor Common Area 04576 03456 05803 01876
Walk Score 00121 00086 00121 01609
of Unfurnished Apartments -00007 00012 -00007 05606
Average Apt Unit Size -00003 00010 -00003 07532
Age 00130 00115 00131 02598
Building Mix -03720 02130 -03106 00828
Note R2 = 2402
Y Term ~Bias Estimate EXP estimate Practical Interpretation increasedecrease Std Error DFDen t Ratio Probgt|t| Estimate Std Error Practical Interpretation Significance
Log(Vacancies amp Rent Loss rentable sf) Intercept 00893029328 10934118365 934 06116337119 1083785495375 01460072116 08841869197 Green Cert
Log(Vacancies amp Rent Loss rentable sf) Green Certified (1=yes 0=no)[Yes] -0031825668 09686754385 -313 009164153 139931853592 -03472843369 07288994904 Gym
Log(Vacancies amp Rent Loss rentable sf) Gym (1=yes 0=no)[Yes] 01007730854 11060256399 1060 01479591517 1412043780621 0681087207 0496931725
Log(Vacancies amp Rent Loss rentable sf) Pool (1=yes 0=no)[Yes] 01125884395 11191712315 1192 0113345701 506840641957 09933190097 032527325
Log(Vacancies amp Rent Loss rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 02672618233 13063824429 3064 01690835398 1429144230275 15806495624 01161688791
Log(Vacancies amp Rent Loss rentable sf) Walk Score 00101642302 10102160615 102 00040763935 1219632686439 24934369735 00139912712
Log(Vacancies amp Rent Loss rentable sf) of Unfurnished Apartments -0000250981 09997490505 -003 00006011213 142449410245 -04175214322 06769256723
Log(Vacancies amp Rent Loss rentable sf) Average Apt Unit Size -00002575258 09997425074 -003 00004990119 1315989429881 -05160713681 06066705884
Log(Vacancies amp Rent Loss rentable sf) Age -00026152008 09973882158 -026 00056263988 1391583522195 -04648090107 06427946925
Log(Vacancies amp Rent Loss rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00099001013 10099492694 099 0100821633 1384002310718 00981942166 09219201454
Log(Total Rents Collected rentable sf) Intercept 30195696974 204824761253 194825 04164909532 1420770663705 72500246992 0
Log(Total Rents Collected rentable sf) Green Certified (1=yes 0=no)[Yes] 00996165255 11047471944 1047
Hopkins Erin Hopkins Erincant provide a confidencd interval for it
00590542761 1286416575023 16868638818 0094053065 0099617 00590542761 1047
Log(Total Rents Collected rentable sf) Gym (1=yes 0=no)[Yes] 00684081888 10708023088 708 0096210834 1330244953516 07110237581 04783143732
Log(Total Rents Collected rentable sf) Pool (1=yes 0=no)[Yes] 00088712036 10089106694 089 00916333982 708572236354 00968119025 09231490817
Log(Total Rents Collected rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00836597449 09197441505 -803 01126005752 1404546011941 -07429779537 04587359136
Log(Total Rents Collected rentable sf) Walk Score 0006479206 10065002414 065 0002794287 1413201347208 23187331419 00218436949
Log(Total Rents Collected rentable sf) of Unfurnished Apartments -00008678845 0999132492 -009 00003932429 1359586026848 -22069932213 00289920945 variance components to talk about how much of the total error that is attribuatle to city
Log(Total Rents Collected rentable sf) Average Apt Unit Size -00002078918 09997921298 -002 00003300088 1382568544162 -06299582685 05297616269
Log(Total Rents Collected rentable sf) Age 00008364704 10008368204 008 00037477419 1387794745176 02231931757 08237133506
Log(Total Rents Collected rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00042999624 10043092206 043 0069466499 142786243042 00618998008 09507291881
Log(Total Actual Collections rentable sf) Intercept 30681072891 215011686418 205012 04070110501 1415072794017 75381424868 0
Log(Total Actual Collections rentable sf) Green Certified (1=yes 0=no)[Yes] 00944491888 10990533175 991 00578900924 1291837028308 16315259643 01052148631
Log(Total Actual Collections rentable sf) Gym (1=yes 0=no)[Yes] 00739127176 10767128233 767 0094247393 1335821297113 07842415071 04342868782
Log(Total Actual Collections rentable sf) Pool (1=yes 0=no)[Yes] 00130418887 10131273051 131 00885804441 654593026021 01472321442 08834013324
Log(Total Actual Collections rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00794248992 0923647384 -764 01101507414 1410305976559 -07210564195 04720684016
Log(Total Actual Collections rentable sf) Walk Score 00065530115 10065745295 066 00027272037 14047408887 24028316857 00175745575
Log(Total Actual Collections rentable sf) of Unfurnished Apartments -0000833078 09991672689 -008 00003850262 1365168778586 -21636916411 00322285543
Log(Total Actual Collections rentable sf) Average Apt Unit Size -00002169447 09997830788 -002 00003233576 1393662972101 -06709126047 05033865944
Log(Total Actual Collections rentable sf) Age 00015178151 10015189676 015 0003670824 1398532082324 04134807595 06798877496
Log(Total Actual Collections rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00249154485 10252284322 252 0067842812 1423468871242 03672525904 07139760316
Log(Management Fee rentable sf) Intercept -02128803278 08082528568 -1917 04254329778 585619088893 -0500385111 06186792644
Log(Management Fee rentable sf) Green Certified (1=yes 0=no)[Yes] 0019865513 10200641454 201 00593086525 1354977267554 03349513461 07381797603
Log(Management Fee rentable sf) Gym (1=yes 0=no)[Yes] -00082052627 09918283086 -082 00958032958 1386068833723 -00856469772 09318706455
Log(Management Fee rentable sf) Pool (1=yes 0=no)[Yes] 00174275629 10175803089 176 00771880661 202180965349 02257805358 08236388274
Log(Management Fee rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00153191452 10154370848 154 01103651216 1423896402644 01388042255 08898009734
Log(Management Fee rentable sf) Walk Score 00070459229 10070708039 071 00028008303 805559990921 25156550566 0013868745
Log(Management Fee rentable sf) of Unfurnished Apartments -0001358177 09986427449 -014 00003916726 1421224837061 -34676335479 00006950146
Log(Management Fee rentable sf) Average Apt Unit Size -00005130214 09994871101 -005 00003375961 1007585612206 -15196307445 0131735624
Log(Management Fee rentable sf) Age 00013613923 10013623194 014 00037151697 1277713043957 03664414822 07146417588
Log(Management Fee rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -00674463479 09347778721 -652 00657081953 1299283630266 -10264525997 03065854809
Log(Total Utilities Rentable sf) Intercept -03748562337 06873880949 -3126 04464274077 1402143832266 -08396801522 04025171642
Log(Total Utilities Rentable sf) Green Certified (1=yes 0=no)[Yes] 00873163337 10912418217 912 0064576715 1358457024729 13521334071 01785794114
Log(Total Utilities Rentable sf) Gym (1=yes 0=no)[Yes] 01175979311 11247917766 1248 01048349264 1384172144229 11217438221 02639135776
Log(Total Utilities Rentable sf) Pool (1=yes 0=no)[Yes] 00115680134 10116351816 116 00928512423 72633370166 01245865221 09011950626
Log(Total Utilities Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00222539972 10225034645 225 01216524447 1425571484619 01829309493 0855112103
Log(Total Utilities Rentable sf) Walk Score 00068649233 10068885409 069 00029812807 1396033046894 23026759291 00227754146
Log(Total Utilities Rentable sf) of Unfurnished Apartments -00006773222 09993229071 -007 00004273761 1401067188346 -15848386198 01152575495
Log(Total Utilities Rentable sf) Average Apt Unit Size -00003442022 0999655857 -003 00003581401 1425120147852 -09610825805 03381384619
Log(Total Utilities Rentable sf) Age 00048795122 10048914364 049 00040600929 1425855030198 12018227897 02314244716
Log(Total Utilities Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -01198355423 08870663096 -1129 00742421382 1413320388001 -16141176043 01087323819
Log(MampR rentable sf) Intercept -09030689887 04053238148 -5947 0437858541 1384008312652 -20624674504 00410332652
Log(MampR rentable sf) Green Certified (1=yes 0=no)[Yes] 00937424436 10982768413 983 00639155521 1376081716673 14666609392 01447499128
Log(MampR rentable sf) Gym (1=yes 0=no)[Yes] 00037664885 10037735907 038 01036113865 1396450691334 00363520715 09710535435
Log(MampR rentable sf) Pool (1=yes 0=no)[Yes] 01319613595 11410642271 1411 00887446725 719561267791 14869778183 0141389644
Log(MampR rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00521515872 09491849716 -508 01197720975 1428478988157 -04354235112 06639122497
Log(MampR rentable sf) Walk Score 00110131704 10110740386 111 00029197236 1385662208531 37719907631 00002391344
Log(MampR rentable sf) of Unfurnished Apartments -00008849955 09991153959 -009 00004219429 1410140957414 -20974297602 0037740228
Log(MampR rentable sf) Average Apt Unit Size 00000594506 10000594524 001 0000353075 1429981472006 01683796031 08665225748
Log(MampR rentable sf) Age 0007624822 1007653965 077 00039990018 142990029884 19066812998 00585678315
Log(MampR rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00598131349 10616381449 616 00727173027 1406732379184 08225433659 04121598071
Log(Subtotal Maintenance rentable sf) Intercept -07997344997 04494482769 -5506 0489167182 1380935604874 -16348899298 01043496414
Log(Subtotal Maintenance rentable sf) Green Certified (1=yes 0=no)[Yes] 01180969773 11253532398 1254 00707986514 1348907221481 16680681771 00976219515
Log(Subtotal Maintenance rentable sf) Gym (1=yes 0=no)[Yes] 00409351965 10417845921 418 01148796072 1378640116803 03563312718 07221372278
Log(Subtotal Maintenance rentable sf) Pool (1=yes 0=no)[Yes] 01515780559 11636691295 1637 0100780712 617547240206 15040383505 01376688864
Log(Subtotal Maintenance rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -0078076377 09248937833 -751 01331885868 1426567369893 -05862092154 05586613077
Log(Subtotal Maintenance rentable sf) Walk Score 0011889233 10119601909 120 00032614069 1377504918879 36454307183 00003773801
Log(Subtotal Maintenance rentable sf) of Unfurnished Apartments -00008153416 09991849907 -008 00004682078 1398534995511 -17414095506 00838107083
Log(Subtotal Maintenance rentable sf) Average Apt Unit Size 00005083484 10005084776 005 00003930253 1428434249161 12934242295 01979520949
Log(Subtotal Maintenance rentable sf) Age 00104106727 10104650523 105 00044515054 1428449267664 23386858733 00207383998
Log(Subtotal Maintenance rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 02440298206 12763823925 2764 0081177414 1402563601749 30061295196 00031359748
Log(Property Insurance rentable sf) Intercept -08916874806 04099633635 -5900 04516384713 1429624291993 -19743390727 00502702101
Log(Property Insurance rentable sf) Green Certified (1=yes 0=no)[Yes] 01239058141 11319092561 1319 0062692592 1281678143933 19764027959 00502564371
Log(Property Insurance rentable sf) Gym (1=yes 0=no)[Yes] -0003522638 09964835593 -035 01024969537 1314939748594 -0034368221 09726356404
Log(Property Insurance rentable sf) Pool (1=yes 0=no)[Yes] 00227423743 10230029538 230 01040308572 1125700947624 02186118131 08273482928
Log(Property Insurance rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00155809876 10157030041 157 01206677853 1368483458399 01291230096 08974498986
Log(Property Insurance rentable sf) Walk Score 00072977866 10073244804 073 00030353828 1428602075435 24042392705 00174877086
Log(Property Insurance rentable sf) of Unfurnished Apartments -00010061941 09989943119 -010 0000420017 1337858380697 -23956034086 00179774093
Log(Property Insurance rentable sf) Average Apt Unit Size -00006330482 09993671521 -006 00003514502 1338864329416 -18012458048 0073914725
Log(Property Insurance rentable sf) Age 00009661099 10009665767 010 00039921418 1338497494964 02420028921 08091483095
Log(Property Insurance rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -00520208103 09493091112 -507 00749301111 1411273861679 -06942577501 04886618561
Log(Total All Expenses Rentable sf) Intercept 17410862845 57035357214 47035 03946731547 141889623796 44114636723 00000201648
Log(Total All Expenses Rentable sf) Green Certified (1=yes 0=no)[Yes] 01231722438 11310792255 1311 00565275641 1341244163534 21789766772 00310802733
Log(Total All Expenses Rentable sf) Gym (1=yes 0=no)[Yes] 00096244971 10096709615 097 00919378962 1370603130567 01046847658 09167789899
Log(Total All Expenses Rentable sf) Pool (1=yes 0=no)[Yes] 01610294116 11747195186 1747 00846545666 801516751987 19021940341 00607378863
Log(Total All Expenses Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00361842114 09644626121 -355 01071504659 1418739239709 -03376953252 07360919324
Log(Total All Expenses Rentable sf) Walk Score 00087371658 10087754463 088 00026426023 1411809488418 33062734678 00011989895
Log(Total All Expenses Rentable sf) of Unfurnished Apartments -00008720665 09991283137 -009 00003752966 1389800988186 -23236728617 00215934791
Log(Total All Expenses Rentable sf) Average Apt Unit Size -0000155413 0999844599 -002 00003145108 1409449329598 -0494142052 06219751067
Log(Total All Expenses Rentable sf) Age 00015666155 10015678433 016 00035695206 1412387206124 04388868073 06614142124
Log(Total All Expenses Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00157918953 10159172462 159 00657593447 1424551160559 02401467861 08105616925
Log(NOI Rentable sf) Intercept 27416093787 155119295878 145119 049686036 1426328429735 55178669889 0000000157
Log(NOI Rentable sf) Green Certified (1=yes 0=no)[Yes] 00932241108 10977077159 977 00701671113 1292740226257 13286012361 01863200879
Log(NOI Rentable sf) Gym (1=yes 0=no)[Yes] 0111280688 11177085902 1177 0114413579 13320261997 09726178396 03325061802
Log(NOI Rentable sf) Pool (1=yes 0=no)[Yes] -00608871507 0940929417 -591 01107002034 838263437204 -05500184174 05837693269
Log(NOI Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -01393113526 08699571229 -1300 01340931949 1397855428856 -10389144106 03006382455
Log(NOI Rentable sf) Walk Score 00045000262 10045101666 045 0003337636 1423581725818 13482675372 01797136327
Log(NOI Rentable sf) of Unfurnished Apartments -00007116645 09992885887 -007 00004679272 1358400867851 -15208872073 01306124688
Log(NOI Rentable sf) Average Apt Unit Size -00001937801 09998062387 -002 00003921685 1372175013367 -04941245389 06220083144
Log(NOI Rentable sf) Age 00034607088 1003466704 035 00044548378 1376438770548 07768428318 04385844885
Log(NOI Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00488697769 10500835966 501 00828565286 1429949688826 05898120243 0556247504
Concessions rentable sf Intercept 0091580439 10959049266 959 12772069558 1418541020247 00717036801 09429387231
Concessions rentable sf Green Certified (1=yes 0=no)[Yes] 01110697527 11174728508 1175 01814813765 1293641668833 06120173584 05416004511
Concessions rentable sf Gym (1=yes 0=no)[Yes] -05094051331 06008529 -3991 02955403985 1336296409402 -17236395961 00870857294
Concessions rentable sf Pool (1=yes 0=no)[Yes] -00886152984 09151975838 -848 02791864929 69298361986 -03174053928 07518903943
Concessions rentable sf Outdoor Common Area (1=yes 0=no)[Yes] 04576291372 15803228114 5803 03455726285 1408379747117 13242632646 01875606951
Concessions rentable sf Walk Score 00120688741 10121419968 121 00085630896 1409791646097 14094064916 01609170757
Concessions rentable sf of Unfurnished Apartments -00007045588 09992956894 -007 00012075862 1364744404696 -05834438741 05605574922
Concessions rentable sf Average Apt Unit Size -00003193903 09996806607 -003 00010135961 1389703034326 -03151061148 07531537379
Concessions rentable sf Age 00130223218 10131074815 131 00115086772 139464867267 11315220311 02597773256
Concessions rentable sf Building Mix (0=multifamily 1 = mixed-use)[Mixed] -03719888249 06893619462 -3106 02129597676 1426034459287 -17467563435 00828326573
Page 8: AUGUST 21- 23, 2018 • CLEVELAND, OHIO€¦ · Business Case 2.0: New Research Around High Performing Buildings Thursday 23 rd, 2018 10:30am – 12:00pm

Approach Impact of energy on default rateMortgage Default Rate = f (EUI ElecPriceGap CouponSpread LTV Region more controlshellip)

TREPPLoan Dataset

geocode

Benchmark Disclosure

Dataset

Expanded Benchmark Disclosure

match

Combined TREPP mortgage performance and Benchmarking Disclosure Datasets

ISO ElectricityHH Nat Gas

Datasets

match amp calc

Interest Rate Proxy

Dataset

match amp calc

Empirical analysis combiningbull Mortgage loan data (TREPP) bull Energy use data (Benchmarking disclosure)

8

Default risk and source EUI (cont)

The coefficient estimates for BOTH the Electricity Price Gap and Source EUI are significant at better than the 05 level of statistical significance

bull The higher the Source EUI (the more energy usage per square foot) the higher the likelihood of default

bull The higher the Electricity Price Gap (the larger the difference between the actual and the expected electricity prices since the loan origination) the higher the likelihood of default

Office + Retail ndash Linear probability model

9

Default risk and source EUI

Coefficient Estimate Standard Error

Intercept -040444 018466Log Source EUI 007335 003129

Origination Loan-to-Value Ratio 000258 000096

Coupon Spread to 10 Year Treasury 002188 001565

Electricity Price Gap 000003 000001

Time to Maturity on Balloon -000189 000060

Origination Year Fixed Effects Yes

473 observations R2 = 1052 plt01 plt005 plt001

Office + Retail ndash Linear probability model

10

Default risk and source EUI (cont)

Coefficient estimates are significant and robust for three cohorts all buildings Office + multiuse + retail office only Coefficient estimates for electricity price gap significant for all buildings

office + multiuse + retail Consistent results for linear probability and logistic regression models

11

Analysis using Scaled Source EUI ndash Linear probability model

Ratio of Source EUI to NOI(floor area)

Default risk and source EUI (cont)

Coefficient Estimate Standard Error

Intercept -000538 011067Scaled Source EUI 000183 0000369

Origination Loan-to-Value Ratio 000263 000117

Coupon Spread to 10 Year Treasury 000751 0040

Electricity Price Gap 000003 000001

Time to Maturity on Balloon -000203 000068

Origination Year Fixed Effects Yes

339 observations R2 = 1768 plt01 plt005 plt001

Scaled Source EUI (Office + MU + Retail) ndash Linear probability model

12

What are the impacts on specific loansCollaborate with lenders to 1 Demonstrate impact of energy use and price on specific mortgage loans2 Develop recommendations

Approach Compile info from Appraisals PCAs

other sources Estimate source EUI variations

Simulation and empirical approaches

Compute electricity price gap using forward curves

Compute default risk impact due to source EUI and electricity price gap

13

Case Studies

Denver Office

Denver Hotel

San Francisco Multi-family

San Jose Office Sonoma Office

Denver Office ndash energy use and default riskFacilities Management factors HVAC schedule Thermostat setback Supply air temp control VAV min flow control Economizer controls Lighting controlsLevels good average poor

Occupancy factors Occupant density Occupant schedule Plug load density Plug load controlsLevels goodlow average poorhigh

CaseFacilities mgmtfactors

OccupancyFactors

Source EUI change ()

Default risk change (bp)

1 Good GoodLow -54 -248

2 Good Ave -33 -127

3 Ave Ave - -

4 Good PoorHigh +4 +12

5 Poor GoodLow +64 +158

6 Poor Ave +76 +181

7 Poor PoorHigh +132 +268

15

Denver Office ndash energy price and default risk

16

Case Studies ndash summary of risks impacts

Building Source EUI variation ()

Default rate variation (bp)

Default rate variation relative to TREPP avg ()

Denver Office -54 to +132 -248 to +268 -31 to +34

Sonoma Office -40 to +183 -161 to +331 -20 to +41

San Jose Office -62 to +119 -308 to +249 -39 to +31

Denver Hotel -11 to +17 -37 to +49 -5 to +6

San Francisco Multi-family -20 to +26 -72 to +74 -9 to +9

Wholesale price region Default rate variation (bp) Default rate variation relative to TREPP avg ()

Denver area +159 to +501 +20 to +63

Northern California -49 to +705 -6 to +88

Compare to TREPP average default rate of 800bp

17

Case Studies ndash business impactThese results showing the impact of energy on default risk are clearly meaningful I dont currently consider energy efficiency when making a loan and seeing this makes me think I would want to ask about itrdquo

I would like to apply these findings but would want an easy way to use it A simple score or ratio for energy risk would be good In fact I would be interested to pilot test it

Keith Hanley Silicon Valley Bank

18

Looking Ahead

Looking Ahead ndash our visionTo have energy factors fully and routinely incorporated in commercial mortgage valuation accelerating demand for buildings with lower energy risk

20

Show that energy matters

Develop and pilot

interventions Disseminate

best practices Institutionalize

Analysis of energy impacts

Long term

Case studies on actual mortgage loans

Protocols and tools for lenders and owners

Industry Standards

Scope of current effort

RecommendationsLenders Ask owners to provide info on energy cost range

Account for variations in energy use and energy price Could be done as part of Property Condition Assessment Can reference ASTM standard

Incorporate energy risk factor into underwriting and terms eg Interest rate discount for lower risk

Offer additional loan proceeds for EE investments

Owners Ask lenders to account for energy efficiency when setting mortgage

terms Provide data on energy costs to lender

Historical and anticipated In appraisal andor PCA

21

Thank you

Money Matters Exploring the Financial Impacts of Green Certifications in the Multifamily Rental Sector

Erin A Hopkins PhD CAPS LEED Green AssociateAssistant Professor of Property Management

bull Sample 153 properties from 2 of National Multifamily Housing Councilrsquos 2016 50 Largest Apartment Managers

bull Green-certified 2288 of properties (35 properties)bull Methodology Multiple Regression Analysisbull Controls Location Fitness Center Pool Outdoor Common Area Walk

Score of Unfurnished Apartments Average Apartment Unit Size Age Building Mix

bull Limitations Building class not directly taken into account

Overview of Research

Certifications Represented in Sample

Austin Energy Green Buildingreg (AEGB)

Rating System(3)

ENERGY STARreg

(1)

Florida Green Building Coalition

(FGBC)(1)

GreenPoint Rated(4)

LEEDreg

(16)

National Green Building Standardtrade

(NGBS)(11)

Properties by City

2

4

2 2 21 1

3

1 1 12 2

1 1 1

6

1 1

8

11

4

6

14

3

1

19

3

1 1

7

43

2

9

18

2 2

0

2

4

6

8

10

12

14

16

18

20

Summary Statistics of City Datan=153

Summary Satistics of City Data Green Bldgs Summary Satistics of City Data Non-Green Comparables

Descriptive

97

71

100

31

89

69

93

24

0

20

40

60

80

100

120

Fitness Center Pool Outdoor Common Area Mixed-Use Property

Summary Statistics of Green vs Non-Green Propertiesn = 153

Green Non-Green

Descriptive

73228

866

2011

74

259

894

2003

0

500

1000

1500

2000

2500

Walk Score Average Number of Units Average Apt Unit Size (sf) Age

Summary Statistics of Green vs Non-Green Properties

n = 153

Green Non-Green

Findings

Total Rents Collected1047

Total Maintenance1254

Property Insurance1319

Total Expenses1311

Higher rents and expenses

Financial Impacts of Green

Dependent Variable Per Square Foot Per Apartment Per PropertyTotal Rents Collected 247$ 2189$ 551683$ Subtotal Maintenance 020$ 178$ 44843$ Property Insurance 005$ 42$ 10601$ Total Expenses 112$ 990$ 249535$

Coefficients Standard Errors

Tables

Summary of Green Impacts

Summary Table

Discussion

bull Assume efficient operations will offset the higher rent

bull Philanthropic motivesbull Prestige motivesbull Green buildings tend to be newermore

likely to offer the more sought-after amenities and finishes

bull Tend to be in higher-income areaslikely have higher rents

Different motivations for paying higher rent may be in

play

Discussion

Higher Operating Expenses a Surprise

Does not align with much of the existing researchhellipbut no research on effects of green certification on total operating expenses within multifamily rental sector

Many of the certifications represented in this study focus on the design phase of the property vs the operations and maintenance phase

And although promotion of sustainability is on the rise in the multifamily housing sector staff may remain unfamiliar with the unique operations and maintenance of green

buildings

Final Thoughts

Apartment homes represent $13 trillion to the US economy and 5 million new rental households are expected by 2023 (National Multifamily Housing Council 2015)

Upfront capital constraints regulatory issues knowledge limitations and marketing concerns may diminish the attractiveness of multifamily rental green building

certification if not properly managed

Most studies focus on office sector andor strictly rents or property value

This study begins to look at the multifamily rental sector and offer a more comprehensive analysis

Further research is needed with larger datasets to understand effects of green certification on income statement components in the apartment industry as NOI

ultimately determines property market valueOptimism that this study can be the impetus for further research contributions on the

financial environmental and resident satisfaction impacts of green practices and certifications on the multifamily rental sector

Contact informationErin A Hopkinserinz1vtedu

Acknowledgementsbull Todd Feist Sustainability Program Manager at The Institute of

Real Estate Management (IREMreg) for his assistance with this research project

bull Yardi and IREMreg for the grant awarded to support this researchbull The two property management companies for sharing their data

BUILDING PERFORMANCE

UNLOCKINGVALUE

New DOE-driven Research Around High Performing Buildings

AUGUST 23 2018

ANDREW WHITEASSOCIATE MANAGERawhiteretechadvisorscom

2015-2016 bull Research design working group pilot study data lab

2017 bull Connect to Real Estate Research Institute (RERI) Literature review and gap analysis

2018 bull Research agenda request for proposals research project selection and execution

Context Setting ndash DOE Research EffortWhat are the impacts of energy efficiency and high-performance building

features on financial performance of commercial real estate

RERIrsquos mission is to encourage and reward research on real estate as an investment and as an asset class that is both academically rigorous and of value to the institutional real estate investment profession In addition RERI serves to provide a forum through which the real estate academic professional and regulatory communities can interact facilitating the exchange of insights amongst these stakeholders

RERI Overview

Sponsors

Build upon DOErsquos Review of Studies in the Market

bull Focus explicitly on peer-reviewed papers Gap analysis of existing research to

identifybull Questions that have already been

sufficiently provenbull Holes in existing body of research

Academic Inputbull Guidance on which studies to includebull Suggestions for how to conduct analysis

Literature Review Objectives

Literature Review Results

LEED

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Rent 20 18 1 2 2 2 1 1 1Rent concessions 1 1 1Sales price 9 11 1 1 1 1Assessed value 2 2Market value 1 2 1 2 1Occupancy 10 9 1Lease renewals 1 1 1Service charge 1Operating cost 2 3Energy cost 2 3Tenant satisfaction 1 1 1Sales time 1 1Default rate 2 1Capitalization rate 1 2 2 1Net operating income 1 1 1Loan to value ratio 1 1Debt service coverage ratio 1 1Worker productivity 1 1Other 5 4 1 4 2 2

There is considerable evidence that green building certifications correlate with increased economic value primarily via higher rents and sales prices

bull How do we move beyond certification to analyze performancebull Correlation vs Causation

bull What is driving added value Is it green features and efficiency the green labels themselves or other desirable features often included in certified buildings

Panel studies could help reduce some of the uncertainty and noise Full results presented at ACEEE Summer Study

bull Raising the Rent Premium Moving Green Building Research Beyond Certifications and Rent

bull Cindy Zhu Andrew White Paul Mathew Jeff Deason Philip Coleman

Literature Review Results

Research Agenda Core QuestionldquoHow does ltenergygreen metricgt affect ltfinancial value metricgtrdquo

EnergyGreen Metric

Site energy use or EUI

Source energy use or EUI

Energy cost or costsf

ENERGY STAR score

ENERGY STAR label

Green Building Certification (LEED BOMA 360)

Green Building Certification level (eg LEED Silver Gold)

Financial Value Metric

VacancyOccupancy Sales Price

Leasing Velocity (absorption speed of sales leasing)

Regulatory amp Compliance Risk

Tenant Renewals Insurance (rates ability)

Tenant Satisfaction Default Risk

Rental Income and Rent Concessions Debt Service Coverage Ratio

Marketing Costs Access to Funding

Utility Costs Maintenance OpEx Interest Rates

Obsolescence Reserves

Capitalization Rates

12 proposals received 5 projects selected Criteria

bull Department of Energy goals

bull Impact on Commercial Real Estate (CRE) Industry

bull Feasibility and Interest

bull Quality and Validity

Proposal Reviews

Jim Clayton Avis Devine (York University) and Rogier Holtermans(University of Guelph) Analyzing four types of energy

efficiency interventions on financial components that impact property-level NOI

bull How do interventions impact different aspects of building operations and their subsequent financial impact

Beyond Environmental Building Certification The Impact of Environmental Interventions on Commercial Real Estate Operations

Piet Eichholtz and Nils Kok (Maastricht University) and RogierHoltermans (University of Guelph) Three key questions

bull How is environmental building certification related to commercial building energy consumption

bull How does aging affect the energy consumption of the commercial building stock

bull To what extent do specific energy efficiency investments affect energy consumption in commercial real estate

The Dynamics of Energy Consumption in Commercial Real Estate

Sofia Dermisi Chris Lee and YoungjinChoe (University of Washington) Exploring the effect of disclosure

policies on office building marketability while assessing potential links between market performance of sustainable assets

bull Before and after the disclosure policies while considering market cycles

bull Before and after ENERGY STAR andor LEED certification

Markets included San Francisco Washington DC

Effect of Energy Benchmarking and Disclosure on Office Building Marketability

Dirk Brounen (Tilburg University) and Gianluca Marcato (Reading University) Analyzing the adoption of GRESB within the public real estate markets and

predicting a potential impact of GRESB scores on REIT returns

Sustainable Insights and Public Real Estate Performance GRESB Effects in REIT Markets

Constantine Kontokosta (New York University) Franz Fuerst(Cambridge University) Gary Pivo (University of Arizona) amp Jacob Sagi (UNC Chapel Hill) Utilizing NYC data to empirically model

bull the spread between the premium for labeled (energy efficient) buildings and the cost to retrofit an under-performing building to meet the same standard which will allow us to understand how much of the observed premium is attributable to energy efficiency and how much can be assigned to other perceived benefits (marketing construction quality etc)

bull the hurdle rate for energy retrofit investments using actual audit data and permitted renovation work

Estimating Office and Residential Building Energy Retrofit Hurdle Rates and Risk Arbitrage in Energy Efficiency Investments

Collecting data for continued Data Lab analysis Presenting Research findings

bull Interim research results ndash IPC Research Symposium (October)bull Greenbuild Session (November)bull RERI Research Conference (April)bull Final research results ndash Better Buildings Webinars Summit 2019 (TBA)

Work with DOE case study and data analysis opportunities abound

Next Steps

Paul Mathew

Lawrence Berkeley National Laboratorypamathewlblgov

Paulo Issler

University of California Berkeleypauloisslerberkeleyedu

Erin Hopkins

Virginia Techerinz1vtedu

Andrew White

RE Tech Advisorsawhiteretechadvisorscom

Contact Info

  • Slide Number 1
  • Business Case 20 New Research Around High Performing Buildings
  • Panelists
  • Energy and Default Risk in Commercial Mortgages
  • Paulo Issler
  • Acknowledgements
  • The link between energy and CRE mortgages
  • Approach Impact of energy on default rate
  • Default risk and source EUI (cont)
  • Default risk and source EUI
  • Default risk and source EUI (cont)
  • Default risk and source EUI (cont)
  • What are the impacts on specific loans
  • Case Studies
  • Denver Office ndash energy use and default risk
  • Denver Office ndash energy price and default risk
  • Case Studies ndash summary of risks impacts
  • Case Studies ndash business impact
  • Looking Ahead
  • Looking Ahead ndash our vision
  • Recommendations
  • Slide Number 22
  • Money Matters Exploring the Financial Impacts of Green Certifications in the Multifamily Rental SectorErin A Hopkins PhD CAPS LEED Green AssociateAssistant Professor of Property Management
  • Overview of Research
  • Certifications Represented in Sample
  • Properties by City
  • Descriptive
  • Descriptive
  • Findings
  • Financial Impacts of Green
  • Discussion
  • Discussion
  • Final Thoughts
  • Slide Number 34
  • Slide Number 35
  • Context Setting ndash DOE Research Effort
  • RERI Overview
  • Literature Review Objectives
  • Literature Review Results
  • Literature Review Results
  • Research Agenda Core Question
  • Proposal Reviews
  • Beyond Environmental Building Certification The Impact of Environmental Interventions on Commercial Real Estate Operations
  • The Dynamics of Energy Consumption in Commercial Real Estate
  • Effect of Energy Benchmarking and Disclosure on Office Building Marketability
  • Sustainable Insights and Public Real Estate Performance GRESB Effects in REIT Markets
  • Estimating Office and Residential Building Energy Retrofit Hurdle Rates and Risk Arbitrage in Energy Efficiency Investments
  • Next Steps
  • Contact Info
Y Term ~Bias Estimate EXP estimate Practical Interpretation increasedecrease Std Error DFDen t Ratio Probgt|t| Log(Vacancies amp Rent Loss rentable sf) Log(Total Rents Collected rentable sf) Log(Total Actual Collections rentable sf) Log(Management Fee rentable sf) Log(Total Utilities Rentable sf) Log(MampR rentable sf) Log(Subtotal Maintenance rentable sf) Log(Property Insurance rentable sf) Log(Total All Expenses Rentable sf) Log(NOI Rentable sf) Concessions rentable sf
Log(Vacancies amp Rent Loss rentable sf) Intercept 00893029328 10934118365 934 06116337119 1083785495375 01460072116 08841869197 Green Certified (1=yes 0=no)[Yes] -00318 01047 00991
Log(Vacancies amp Rent Loss rentable sf) Green Certified (1=yes 0=no)[Yes] -0031825668 09686754385 -313 009164153 139931853592 -03472843369 07288994904 Gym (1=yes 0=no)[Yes] 01060 00708 00767
Log(Vacancies amp Rent Loss rentable sf) Gym (1=yes 0=no)[Yes] 01007730854 11060256399 1060 01479591517 1412043780621 0681087207 0496931725 Pool (1=yes 0=no)[Yes] 01126 00089 00131
Log(Vacancies amp Rent Loss rentable sf) Pool (1=yes 0=no)[Yes] 01125884395 11191712315 1192 0113345701 506840641957 09933190097 032527325 Outdoor Common Area (1=yes 0=no)[Yes] 02673 -00803 -00764
Log(Vacancies amp Rent Loss rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 02672618233 13063824429 3064 01690835398 1429144230275 15806495624 01161688791 Walk Score 00102 00065 00066
Log(Vacancies amp Rent Loss rentable sf) Walk Score 00101642302 10102160615 102 00040763935 1219632686439 24934369735 00139912712 of Unfurnished Apartments -00003 -00009 -00008
Log(Vacancies amp Rent Loss rentable sf) of Unfurnished Apartments -0000250981 09997490505 -003 00006011213 142449410245 -04175214322 06769256723 Average Apt Unit Size -00003 -00002 -00002
Log(Vacancies amp Rent Loss rentable sf) Average Apt Unit Size -00002575258 09997425074 -003 00004990119 1315989429881 -05160713681 06066705884 Age -00026 00008 00015
Log(Vacancies amp Rent Loss rentable sf) Age -00026152008 09973882158 -026 00056263988 1391583522195 -04648090107 06427946925 Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00099 00043 00252
Log(Vacancies amp Rent Loss rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00099001013 10099492694 099 0100821633 1384002310718 00981942166 09219201454
Log(Total Rents Collected rentable sf) Intercept 30195696974 204824761253 194825 04164909532 1420770663705 72500246992 0
Log(Total Rents Collected rentable sf) Green Certified (1=yes 0=no)[Yes] 00996165255 11047471944 1047
Hopkins Erin Hopkins Erincant provide a confidencd interval for it
00590542761 1286416575023 16868638818 0094053065
Log(Total Rents Collected rentable sf) Gym (1=yes 0=no)[Yes] 00684081888 10708023088 708 0096210834 1330244953516 07110237581 04783143732
Log(Total Rents Collected rentable sf) Pool (1=yes 0=no)[Yes] 00088712036 10089106694 089 00916333982 708572236354 00968119025 09231490817
Log(Total Rents Collected rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00836597449 09197441505 -803 01126005752 1404546011941 -07429779537 04587359136
Log(Total Rents Collected rentable sf) Walk Score 0006479206 10065002414 065 0002794287 1413201347208 23187331419 00218436949
Log(Total Rents Collected rentable sf) of Unfurnished Apartments -00008678845 0999132492 -009 00003932429 1359586026848 -22069932213 00289920945
Log(Total Rents Collected rentable sf) Average Apt Unit Size -00002078918 09997921298 -002 00003300088 1382568544162 -06299582685 05297616269
Log(Total Rents Collected rentable sf) Age 00008364704 10008368204 008 00037477419 1387794745176 02231931757 08237133506
Log(Total Rents Collected rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00042999624 10043092206 043 0069466499 142786243042 00618998008 09507291881
Log(Total Actual Collections rentable sf) Intercept 30681072891 215011686418 205012 04070110501 1415072794017 75381424868 0
Log(Total Actual Collections rentable sf) Green Certified (1=yes 0=no)[Yes] 00944491888 10990533175 991 00578900924 1291837028308 16315259643 01052148631
Log(Total Actual Collections rentable sf) Gym (1=yes 0=no)[Yes] 00739127176 10767128233 767 0094247393 1335821297113 07842415071 04342868782
Log(Total Actual Collections rentable sf) Pool (1=yes 0=no)[Yes] 00130418887 10131273051 131 00885804441 654593026021 01472321442 08834013324
Log(Total Actual Collections rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00794248992 0923647384 -764 01101507414 1410305976559 -07210564195 04720684016
Log(Total Actual Collections rentable sf) Walk Score 00065530115 10065745295 066 00027272037 14047408887 24028316857 00175745575
Log(Total Actual Collections rentable sf) of Unfurnished Apartments -0000833078 09991672689 -008 00003850262 1365168778586 -21636916411 00322285543
Log(Total Actual Collections rentable sf) Average Apt Unit Size -00002169447 09997830788 -002 00003233576 1393662972101 -06709126047 05033865944
Log(Total Actual Collections rentable sf) Age 00015178151 10015189676 015 0003670824 1398532082324 04134807595 06798877496
Log(Total Actual Collections rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00249154485 10252284322 252 0067842812 1423468871242 03672525904 07139760316
Log(Management Fee rentable sf) Intercept -02128803278 08082528568 -1917 04254329778 585619088893 -0500385111 06186792644
Log(Management Fee rentable sf) Green Certified (1=yes 0=no)[Yes] 0019865513 10200641454 201 00593086525 1354977267554 03349513461 07381797603
Log(Management Fee rentable sf) Gym (1=yes 0=no)[Yes] -00082052627 09918283086 -082 00958032958 1386068833723 -00856469772 09318706455
Log(Management Fee rentable sf) Pool (1=yes 0=no)[Yes] 00174275629 10175803089 176 00771880661 202180965349 02257805358 08236388274
Log(Management Fee rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00153191452 10154370848 154 01103651216 1423896402644 01388042255 08898009734
Log(Management Fee rentable sf) Walk Score 00070459229 10070708039 071 00028008303 805559990921 25156550566 0013868745
Log(Management Fee rentable sf) of Unfurnished Apartments -0001358177 09986427449 -014 00003916726 1421224837061 -34676335479 00006950146
Log(Management Fee rentable sf) Average Apt Unit Size -00005130214 09994871101 -005 00003375961 1007585612206 -15196307445 0131735624
Log(Management Fee rentable sf) Age 00013613923 10013623194 014 00037151697 1277713043957 03664414822 07146417588
Log(Management Fee rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -00674463479 09347778721 -652 00657081953 1299283630266 -10264525997 03065854809
Log(Total Utilities Rentable sf) Intercept -03748562337 06873880949 -3126 04464274077 1402143832266 -08396801522 04025171642
Log(Total Utilities Rentable sf) Green Certified (1=yes 0=no)[Yes] 00873163337 10912418217 912 0064576715 1358457024729 13521334071 01785794114
Log(Total Utilities Rentable sf) Gym (1=yes 0=no)[Yes] 01175979311 11247917766 1248 01048349264 1384172144229 11217438221 02639135776
Log(Total Utilities Rentable sf) Pool (1=yes 0=no)[Yes] 00115680134 10116351816 116 00928512423 72633370166 01245865221 09011950626
Log(Total Utilities Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00222539972 10225034645 225 01216524447 1425571484619 01829309493 0855112103
Log(Total Utilities Rentable sf) Walk Score 00068649233 10068885409 069 00029812807 1396033046894 23026759291 00227754146
Log(Total Utilities Rentable sf) of Unfurnished Apartments -00006773222 09993229071 -007 00004273761 1401067188346 -15848386198 01152575495
Log(Total Utilities Rentable sf) Average Apt Unit Size -00003442022 0999655857 -003 00003581401 1425120147852 -09610825805 03381384619
Log(Total Utilities Rentable sf) Age 00048795122 10048914364 049 00040600929 1425855030198 12018227897 02314244716
Log(Total Utilities Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -01198355423 08870663096 -1129 00742421382 1413320388001 -16141176043 01087323819
Log(MampR rentable sf) Intercept -09030689887 04053238148 -5947 0437858541 1384008312652 -20624674504 00410332652
Log(MampR rentable sf) Green Certified (1=yes 0=no)[Yes] 00937424436 10982768413 983 00639155521 1376081716673 14666609392 01447499128
Log(MampR rentable sf) Gym (1=yes 0=no)[Yes] 00037664885 10037735907 038 01036113865 1396450691334 00363520715 09710535435
Log(MampR rentable sf) Pool (1=yes 0=no)[Yes] 01319613595 11410642271 1411 00887446725 719561267791 14869778183 0141389644
Log(MampR rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00521515872 09491849716 -508 01197720975 1428478988157 -04354235112 06639122497
Log(MampR rentable sf) Walk Score 00110131704 10110740386 111 00029197236 1385662208531 37719907631 00002391344
Log(MampR rentable sf) of Unfurnished Apartments -00008849955 09991153959 -009 00004219429 1410140957414 -20974297602 0037740228
Log(MampR rentable sf) Average Apt Unit Size 00000594506 10000594524 001 0000353075 1429981472006 01683796031 08665225748
Log(MampR rentable sf) Age 0007624822 1007653965 077 00039990018 142990029884 19066812998 00585678315
Log(MampR rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00598131349 10616381449 616 00727173027 1406732379184 08225433659 04121598071
Log(Subtotal Maintenance rentable sf) Intercept -07997344997 04494482769 -5506 0489167182 1380935604874 -16348899298 01043496414
Log(Subtotal Maintenance rentable sf) Green Certified (1=yes 0=no)[Yes] 01180969773 11253532398 1254 00707986514 1348907221481 16680681771 00976219515
Log(Subtotal Maintenance rentable sf) Gym (1=yes 0=no)[Yes] 00409351965 10417845921 418 01148796072 1378640116803 03563312718 07221372278
Log(Subtotal Maintenance rentable sf) Pool (1=yes 0=no)[Yes] 01515780559 11636691295 1637 0100780712 617547240206 15040383505 01376688864
Log(Subtotal Maintenance rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -0078076377 09248937833 -751 01331885868 1426567369893 -05862092154 05586613077
Log(Subtotal Maintenance rentable sf) Walk Score 0011889233 10119601909 120 00032614069 1377504918879 36454307183 00003773801
Log(Subtotal Maintenance rentable sf) of Unfurnished Apartments -00008153416 09991849907 -008 00004682078 1398534995511 -17414095506 00838107083
Log(Subtotal Maintenance rentable sf) Average Apt Unit Size 00005083484 10005084776 005 00003930253 1428434249161 12934242295 01979520949
Log(Subtotal Maintenance rentable sf) Age 00104106727 10104650523 105 00044515054 1428449267664 23386858733 00207383998
Log(Subtotal Maintenance rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 02440298206 12763823925 2764 0081177414 1402563601749 30061295196 00031359748
Log(Property Insurance rentable sf) Intercept -08916874806 04099633635 -5900 04516384713 1429624291993 -19743390727 00502702101
Log(Property Insurance rentable sf) Green Certified (1=yes 0=no)[Yes] 01239058141 11319092561 1319 0062692592 1281678143933 19764027959 00502564371
Log(Property Insurance rentable sf) Gym (1=yes 0=no)[Yes] -0003522638 09964835593 -035 01024969537 1314939748594 -0034368221 09726356404
Log(Property Insurance rentable sf) Pool (1=yes 0=no)[Yes] 00227423743 10230029538 230 01040308572 1125700947624 02186118131 08273482928
Log(Property Insurance rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00155809876 10157030041 157 01206677853 1368483458399 01291230096 08974498986
Log(Property Insurance rentable sf) Walk Score 00072977866 10073244804 073 00030353828 1428602075435 24042392705 00174877086
Log(Property Insurance rentable sf) of Unfurnished Apartments -00010061941 09989943119 -010 0000420017 1337858380697 -23956034086 00179774093
Log(Property Insurance rentable sf) Average Apt Unit Size -00006330482 09993671521 -006 00003514502 1338864329416 -18012458048 0073914725
Log(Property Insurance rentable sf) Age 00009661099 10009665767 010 00039921418 1338497494964 02420028921 08091483095
Log(Property Insurance rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -00520208103 09493091112 -507 00749301111 1411273861679 -06942577501 04886618561
Log(Total All Expenses Rentable sf) Intercept 17410862845 57035357214 47035 03946731547 141889623796 44114636723 00000201648
Log(Total All Expenses Rentable sf) Green Certified (1=yes 0=no)[Yes] 01231722438 11310792255 1311 00565275641 1341244163534 21789766772 00310802733
Log(Total All Expenses Rentable sf) Gym (1=yes 0=no)[Yes] 00096244971 10096709615 097 00919378962 1370603130567 01046847658 09167789899
Log(Total All Expenses Rentable sf) Pool (1=yes 0=no)[Yes] 01610294116 11747195186 1747 00846545666 801516751987 19021940341 00607378863
Log(Total All Expenses Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00361842114 09644626121 -355 01071504659 1418739239709 -03376953252 07360919324
Log(Total All Expenses Rentable sf) Walk Score 00087371658 10087754463 088 00026426023 1411809488418 33062734678 00011989895
Log(Total All Expenses Rentable sf) of Unfurnished Apartments -00008720665 09991283137 -009 00003752966 1389800988186 -23236728617 00215934791
Log(Total All Expenses Rentable sf) Average Apt Unit Size -0000155413 0999844599 -002 00003145108 1409449329598 -0494142052 06219751067
Log(Total All Expenses Rentable sf) Age 00015666155 10015678433 016 00035695206 1412387206124 04388868073 06614142124
Log(Total All Expenses Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00157918953 10159172462 159 00657593447 1424551160559 02401467861 08105616925
Log(NOI Rentable sf) Intercept 27416093787 155119295878 145119 049686036 1426328429735 55178669889 0000000157
Log(NOI Rentable sf) Green Certified (1=yes 0=no)[Yes] 00932241108 10977077159 977 00701671113 1292740226257 13286012361 01863200879
Log(NOI Rentable sf) Gym (1=yes 0=no)[Yes] 0111280688 11177085902 1177 0114413579 13320261997 09726178396 03325061802
Log(NOI Rentable sf) Pool (1=yes 0=no)[Yes] -00608871507 0940929417 -591 01107002034 838263437204 -05500184174 05837693269
Log(NOI Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -01393113526 08699571229 -1300 01340931949 1397855428856 -10389144106 03006382455
Log(NOI Rentable sf) Walk Score 00045000262 10045101666 045 0003337636 1423581725818 13482675372 01797136327
Log(NOI Rentable sf) of Unfurnished Apartments -00007116645 09992885887 -007 00004679272 1358400867851 -15208872073 01306124688
Log(NOI Rentable sf) Average Apt Unit Size -00001937801 09998062387 -002 00003921685 1372175013367 -04941245389 06220083144
Log(NOI Rentable sf) Age 00034607088 1003466704 035 00044548378 1376438770548 07768428318 04385844885
Log(NOI Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00488697769 10500835966 501 00828565286 1429949688826 05898120243 0556247504
Concessions rentable sf Intercept 0091580439 10959049266 959 12772069558 1418541020247 00717036801 09429387231
Concessions rentable sf Green Certified (1=yes 0=no)[Yes] 01110697527 11174728508 1175 01814813765 1293641668833 06120173584 05416004511
Concessions rentable sf Gym (1=yes 0=no)[Yes] -05094051331 06008529 -3991 02955403985 1336296409402 -17236395961 00870857294
Concessions rentable sf Pool (1=yes 0=no)[Yes] -00886152984 09151975838 -848 02791864929 69298361986 -03174053928 07518903943
Concessions rentable sf Outdoor Common Area (1=yes 0=no)[Yes] 04576291372 15803228114 5803 03455726285 1408379747117 13242632646 01875606951
Concessions rentable sf Walk Score 00120688741 10121419968 121 00085630896 1409791646097 14094064916 01609170757
Concessions rentable sf of Unfurnished Apartments -00007045588 09992956894 -007 00012075862 1364744404696 -05834438741 05605574922
Concessions rentable sf Average Apt Unit Size -00003193903 09996806607 -003 00010135961 1389703034326 -03151061148 07531537379
Concessions rentable sf Age 00130223218 10131074815 131 00115086772 139464867267 11315220311 02597773256
Concessions rentable sf Building Mix (0=multifamily 1 = mixed-use)[Mixed] -03719888249 06893619462 -3106 02129597676 1426034459287 -17467563435 00828326573
Y Term Practical Interpretation increasedecrease Probgt|t| Total Rents Collected Subtotal Maintenance Property Insurance Total Expenses
Log(Total Rents Collected rentable sf) Green Certified (1=yes 0=no)[Yes] 1047
Hopkins Erin Hopkins Erincant provide a confidencd interval for it
009 130837635934 13311489362 01847683215 67633617021
Log(Subtotal Maintenance rentable sf) Green Certified (1=yes 0=no)[Yes] 1254 010 267662568114 08839769656 0489370035 133484365708
Log(Property Insurance rentable sf) Green Certified (1=yes 0=no)[Yes] 1319 005 44887430941 07758149459 02417429373 41261056301
Log(Total All Expenses Rentable sf) Green Certified (1=yes 0=no)[Yes] 1311 003 103066299601 12390720963 00474343371 5067818194
206907297628 2385711159 02072356932 9194606526
318766961061 22633758919 04452208547 128154919371
92461669878 09545425866 01280485733 38832017239
143925847783 15966970999 02187893202 54018796992
176714125561 02006495648 02876780533 58992020575
232897515382 0726170332 00787094673 69517596041
Non-green sf average Financial Green Impact sf Financial green impact differencesf Green impactapt Green impactproperty 51780910259 05203453537 00494304264 22609306646
178353784788 17547710996 02048626598 95961490345
Total Rents Collected sf 1047 2356 2603 $ 247 $ 2189 $ 551683 113769814112 12206875575 03432049607 118156743193
Subtotal Maintenance sf 1254 160 180 $ 020 $ 178 $ 44843 301239240258 10561596849 0204970258 110903994641
Property Insurance sf 1319 036 041 $ 005 $ 42 $ 10601 918584487 08376649832 00914663991 4146546939
Total Expenses sf 1311 852 963 $ 112 $ 990 $ 249535 265183769576 19294929362 03500602344 108447158033
226055903548 13557897255 03988791741 10971207244
334894587007 17970717884 05122599181 124640467569
5542518821 31394328066 04875650977 200668786372
112655732059 13445692884 02031297086 43995867235
129139526152 1168069688 00518980213 4651511283
Avg Apt Size Avg of Units 151098478261 13975 02004130435 51873478261
192155046737 21015937064 02616549091 8357602264
887 252 514840434082 52766375656 02375463267 174375582672
81421971535 06694487849 00899424521 2748686222
30246817244 21594341279 03308639536 97277207077
488523197409 27727612187 0646599696 130752346177
318750561687 38903340576 03852711795 142409683793
310384048163 43119745565 03335824966 138846874251
Green Certification Impacts 48578215663 0350218077 03095574205 23695139998
Dependent Variable Per Square Foot Per Apartment Per Property 192237574111 13374121765 02053242615 84027476689
Total Rents Collected $ 247 $ 2189 $ 551683 62979912788 05343191729 00816289996 45390243161
Subtotal Maintenance $ 020 $ 178 $ 44843 148378959661 14651715909 02004049722 80900580942
Property Insurance $ 005 $ 42 $ 10601 196798863889 11267176542 02499920663 90266351433
Total Expenses $ 112 $ 990 $ 249535 281508617823 09686995581 01118170881 119863342059
58584849751 0106864586 04187933949 44180073736
126756167712 1265684516 02796423029 87538414144
176550549412 24957340254 02343899179 88904473415
252421786235 28063734042 03142238564 133776179357
191875932907 13637043757 03440324697 987034902
159508092934 13109374847 02091697013 98967206196
342739845467 09614092295 03929892961 129755936769
192510355167 32804720611 01743191858 134560085596
257829360401 13666691797 01527100011 56329812754
358622391559 14251973427 03437553732 101098436889
217744157919 24046486586 01864745418 68711016642
222112557003 22022148788 07879755849 97807110765
202535763689 04548110217 10003436751 127886698915
155879815194 23816051158 04816227091 119033557201
11066078843 23413202706 06413902496 81812176347
151924709838 18873401649 05711000232 105403544539
163604010853 16052949068 02714509557 82030431823
133974400047 11018949984 03560839935 59096477943
133528448829 13647819036 02538331588 66159357367
187400008959 16889788117 030870974 115752907975
155246293804 18308314258 03852380906 116657595614
34082816218 05447090935 09838411173 13641308574
201220131342 11192465065 03188344246 93786154242
139108532616 13313944086 03887737775 69698295902
191656858207 15717927807 06002115982 119380046581
200921599083 12597596226 03267106334 82474085087
57536742874 00453219212 00300766262 10569757217
120548294116 11607892527 03275736725 74435143659
123188534664 1404028789 03510968138 78762080781
59543029729 0899713372 01652374748 28143456117
144215639215 19193238703 02899837711 67370054173
340046684831 19619729415 04325060698 120608464163
208244777176 28183367899 037 73104355304
234349752613 19432301154 0351134881 107484594815
136370903402 17029933791 01989576534 50899930579
149968383478 14209793679 02735642323 63813718869
81145819519 0920766851 00474564037 30674168785
226307446224 12529424404 02036192613 69235920453
132787305462 08047482453 01232346659 41808605432
251519090044 21798380428 0376480317 80396623551
492269138212 12196979039 02981674812 128316943664
107177195916 08016374211 0113808252 40618650625
128238528886 10751217142 01843492552 6476830365
57582611557 11908427448 0874334536 134004066235
43835651097 34822540694 03904989384 146763800425
205787355386 1429219053 02624404931 5321754079
463148430769 07709353846 06150738462 101617384615
377949548611 28670972222 08296944444 109743576389
360087564176 03501711352 18551055334 110041072447
18371979614 18232783153 07267294459 61184870906
678035276363 13443501226 10431616676 167533484248
56073359244 10138647576 01591318768 51440832304
189431314891 05101557395 03677787459 41010945328
383550342095 23244425576 04086557393 98151764619
115544349685 03310482653 037 40344851625
7552318246 0955023726 01241945851 24368780848
133083101881 19451300341 00938801919 48731378614
122308363087 13760780005 01439989014 45100624828
84908269322 10857071617 01155797799 36082570734
263116048067 10733627163 041902582 60372732395
76183752731 09621126305 01069925907 26170373239
172494454001 11781600332 03919686814 59016193131
342076422068 22741368431 03165622465 73557085549
215534567901 1485497076 02210396361 49118778428
314593058927 23798916958 02751353803 121998559501
586535191691 21029046354 02109026171 91979074439
138093310078 14595490221 02142269839 44286283792
227203645682 04584630891 05737147639 93344680527
572754455737 17713614269 01642228739 92545561671
60603870458 04541110154 01180884676 15902125521
358781017266 33847643857 06854022643 139200146946
342079216629 24477703832 0463059603 67166143833
651201231187 51019950176 12529595849 222094150831
369798669702 21700816928 0444474205 101410502507
421838575952 28823013788 05443272608 151399739597
626095189209 20826275416 04947814184 184651096472
214882899762 25034709712 06359683889 109534721722
274037120739 26718517094 037 67504928595
252667703737 25588590114 05379535858 109041874345
59253832495 01099622961 04620367393 19262874847
150862851538 18053109961 07398729558 71488607075
111196959019 00928417366 037 09427894164
667360269858 07921160191 02989609494 104670639024
2356 160 036 852
Log(Vacancies amp Rent Loss rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified -00318 00916 -00313 07289
Fitness Center 01008 01480 01060 04969
Pool 01126 01133 01192 03253
Outdoor Common Area 02673 01691 03064 01162
Walk Score 00102 00041 00102 00140
of Unfurnished Apartments -00003 00006 -00003 06769
Average Apt Unit Size -00003 00005 -00003 06067
Age -00026 00056 -00026 06428
Building Mix 00099 01008 00099 09219
Note R2 = 645
Log(Total Rents Collected rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00996 00591 01047 00941
Fitness Center 00684 00962 00708 04783
Pool 00089 00916 00089 09231
Outdoor Common Area -00837 01126 -00803 04587
Walk Score 00065 00028 00065 00218
of Unfurnished Apartments -00009 00004 -00009 00290
Average Apt Unit Size -00002 00003 -00002 05298
Age 00008 00037 00008 08237
Building Mix 00043 00695 00043 09507
Note R2 = 3318
Log(Total Actual Collections rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00944 00579 00991 01052
Fitness Center 00739 00942 00767 04343
Pool 00130 00886 00131 08834
Outdoor Common Area -00794 01102 -00764 04721
Walk Score 00066 00027 00066 00176
of Unfurnished Apartments -00008 00004 -00008 00322
Average Apt Unit Size -00002 00003 -00002 05034
Age 00015 00037 00015 06799
Building Mix 00249 00678 00252 07140
Note R2 = 3219
Log(Management Fee rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00199 00593 00201 07382
Fitness Center -00082 00958 -00082 09319
Pool 00174 00772 00176 08236
Outdoor Common Area 00153 01104 00154 08898
Walk Score 00070 00028 00071 00139
of Unfurnished Apartments -00014 00004 -00014 00007
Average Apt Unit Size -00005 00003 -00005 01317
Age 00014 00037 00014 07146
Building Mix -00674 00657 -00652 03066
Note R2 = 1697
Log(Total Utilities Rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00873 00646 00912 01786
Fitness Center 01176 01048 01248 02639
Pool 00116 00929 00116 09012
Outdoor Common Area 00223 01217 00225 08551
Walk Score 00069 00030 00069 00228
of Unfurnished Apartments -00007 00004 -00007 01153
Average Apt Unit Size -00003 00004 -00003 03381
Age 00049 00041 00049 02314
Building Mix -01198 00742 -01129 01087
Note R2 = 2171
Log(MampR rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00937 00639 00983 01447
Fitness Center 00038 01036 00038 09711
Pool 01320 00887 01411 01414
Outdoor Common Area -00522 01198 -00508 06639
Walk Score 00110 00029 00111 00002
of Unfurnished Apartments -00009 00004 -00009 00377
Average Apt Unit Size 00001 00004 00001 08665
Age 00076 00040 00077 00586
Building Mix 00598 00727 00616 04122
Note R2 = 2620
Log(Subtotal Maintenance rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 01181 00708 01254 00976
Fitness Center 00409 01149 00418 07221
Pool 01516 01008 01637 01377
Outdoor Common Area -00781 01332 -00751 05587
Walk Score 00119 00033 00120 00004
of Unfurnished Apartments -00008 00005 -00008 00838
Average Apt Unit Size 00005 00004 00005 01980
Age 00104 00045 00105 00207
Building Mix 02440 00812 02764 00031
Note R2 = 3218
Log(Property Insurance rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 01239 00627 01319 00503
Fitness Center -00035 01025 -00035 09726
Pool 00227 01040 00230 08273
Outdoor Common Area 00156 01207 00157 08974
Walk Score 00073 00030 00073 00175
of Unfurnished Apartments -00010 00004 -00010 00180
Average Apt Unit Size -00006 00004 -00006 00739
Age 00010 00040 00010 08091
Building Mix -00520 00749 -00507 04887
Note R2 = 3902
Log(Total All Expenses Rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 01232 00565 01311 00311
Fitness Center 00096 00919 00097 09168
Pool 01610 00847 01747 00607
Outdoor Common Area -00362 01072 -00355 07361
Walk Score 00087 00026 00088 00012
of Unfurnished Apartments -00009 00004 -00009 00216
Average Apt Unit Size -00002 00003 -00002 06220
Age 00016 00036 00016 06614
Building Mix 00158 00658 00159 08106
Note R2 = 2943
Log(NOI Rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00932 00702 00977 01863
Fitness Center 01113 01144 01177 03325
Pool -00609 01107 -00591 05838
Outdoor Common Area -01393 01341 -01300 03006
Walk Score 00045 00033 00045 01797
of Unfurnished Apartments -00007 00005 -00007 01306
Average Apt Unit Size -00002 00004 -00002 06220
Age 00035 00045 00035 04386
Building Mix 00489 00829 00501 05562
Note R2 = 3669
Concessions rentable sf
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 01111 01815 01175 05416
Fitness Center -05094 02955 -03991 00871
Pool -00886 02792 -00848 07519
Outdoor Common Area 04576 03456 05803 01876
Walk Score 00121 00086 00121 01609
of Unfurnished Apartments -00007 00012 -00007 05606
Average Apt Unit Size -00003 00010 -00003 07532
Age 00130 00115 00131 02598
Building Mix -03720 02130 -03106 00828
Note R2 = 2402
Y Term ~Bias Estimate EXP estimate Practical Interpretation increasedecrease Std Error DFDen t Ratio Probgt|t| Estimate Std Error Practical Interpretation Significance
Log(Vacancies amp Rent Loss rentable sf) Intercept 00893029328 10934118365 934 06116337119 1083785495375 01460072116 08841869197 Green Cert
Log(Vacancies amp Rent Loss rentable sf) Green Certified (1=yes 0=no)[Yes] -0031825668 09686754385 -313 009164153 139931853592 -03472843369 07288994904 Gym
Log(Vacancies amp Rent Loss rentable sf) Gym (1=yes 0=no)[Yes] 01007730854 11060256399 1060 01479591517 1412043780621 0681087207 0496931725
Log(Vacancies amp Rent Loss rentable sf) Pool (1=yes 0=no)[Yes] 01125884395 11191712315 1192 0113345701 506840641957 09933190097 032527325
Log(Vacancies amp Rent Loss rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 02672618233 13063824429 3064 01690835398 1429144230275 15806495624 01161688791
Log(Vacancies amp Rent Loss rentable sf) Walk Score 00101642302 10102160615 102 00040763935 1219632686439 24934369735 00139912712
Log(Vacancies amp Rent Loss rentable sf) of Unfurnished Apartments -0000250981 09997490505 -003 00006011213 142449410245 -04175214322 06769256723
Log(Vacancies amp Rent Loss rentable sf) Average Apt Unit Size -00002575258 09997425074 -003 00004990119 1315989429881 -05160713681 06066705884
Log(Vacancies amp Rent Loss rentable sf) Age -00026152008 09973882158 -026 00056263988 1391583522195 -04648090107 06427946925
Log(Vacancies amp Rent Loss rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00099001013 10099492694 099 0100821633 1384002310718 00981942166 09219201454
Log(Total Rents Collected rentable sf) Intercept 30195696974 204824761253 194825 04164909532 1420770663705 72500246992 0
Log(Total Rents Collected rentable sf) Green Certified (1=yes 0=no)[Yes] 00996165255 11047471944 1047
Hopkins Erin Hopkins Erincant provide a confidencd interval for it
00590542761 1286416575023 16868638818 0094053065 0099617 00590542761 1047
Log(Total Rents Collected rentable sf) Gym (1=yes 0=no)[Yes] 00684081888 10708023088 708 0096210834 1330244953516 07110237581 04783143732
Log(Total Rents Collected rentable sf) Pool (1=yes 0=no)[Yes] 00088712036 10089106694 089 00916333982 708572236354 00968119025 09231490817
Log(Total Rents Collected rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00836597449 09197441505 -803 01126005752 1404546011941 -07429779537 04587359136
Log(Total Rents Collected rentable sf) Walk Score 0006479206 10065002414 065 0002794287 1413201347208 23187331419 00218436949
Log(Total Rents Collected rentable sf) of Unfurnished Apartments -00008678845 0999132492 -009 00003932429 1359586026848 -22069932213 00289920945 variance components to talk about how much of the total error that is attribuatle to city
Log(Total Rents Collected rentable sf) Average Apt Unit Size -00002078918 09997921298 -002 00003300088 1382568544162 -06299582685 05297616269
Log(Total Rents Collected rentable sf) Age 00008364704 10008368204 008 00037477419 1387794745176 02231931757 08237133506
Log(Total Rents Collected rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00042999624 10043092206 043 0069466499 142786243042 00618998008 09507291881
Log(Total Actual Collections rentable sf) Intercept 30681072891 215011686418 205012 04070110501 1415072794017 75381424868 0
Log(Total Actual Collections rentable sf) Green Certified (1=yes 0=no)[Yes] 00944491888 10990533175 991 00578900924 1291837028308 16315259643 01052148631
Log(Total Actual Collections rentable sf) Gym (1=yes 0=no)[Yes] 00739127176 10767128233 767 0094247393 1335821297113 07842415071 04342868782
Log(Total Actual Collections rentable sf) Pool (1=yes 0=no)[Yes] 00130418887 10131273051 131 00885804441 654593026021 01472321442 08834013324
Log(Total Actual Collections rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00794248992 0923647384 -764 01101507414 1410305976559 -07210564195 04720684016
Log(Total Actual Collections rentable sf) Walk Score 00065530115 10065745295 066 00027272037 14047408887 24028316857 00175745575
Log(Total Actual Collections rentable sf) of Unfurnished Apartments -0000833078 09991672689 -008 00003850262 1365168778586 -21636916411 00322285543
Log(Total Actual Collections rentable sf) Average Apt Unit Size -00002169447 09997830788 -002 00003233576 1393662972101 -06709126047 05033865944
Log(Total Actual Collections rentable sf) Age 00015178151 10015189676 015 0003670824 1398532082324 04134807595 06798877496
Log(Total Actual Collections rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00249154485 10252284322 252 0067842812 1423468871242 03672525904 07139760316
Log(Management Fee rentable sf) Intercept -02128803278 08082528568 -1917 04254329778 585619088893 -0500385111 06186792644
Log(Management Fee rentable sf) Green Certified (1=yes 0=no)[Yes] 0019865513 10200641454 201 00593086525 1354977267554 03349513461 07381797603
Log(Management Fee rentable sf) Gym (1=yes 0=no)[Yes] -00082052627 09918283086 -082 00958032958 1386068833723 -00856469772 09318706455
Log(Management Fee rentable sf) Pool (1=yes 0=no)[Yes] 00174275629 10175803089 176 00771880661 202180965349 02257805358 08236388274
Log(Management Fee rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00153191452 10154370848 154 01103651216 1423896402644 01388042255 08898009734
Log(Management Fee rentable sf) Walk Score 00070459229 10070708039 071 00028008303 805559990921 25156550566 0013868745
Log(Management Fee rentable sf) of Unfurnished Apartments -0001358177 09986427449 -014 00003916726 1421224837061 -34676335479 00006950146
Log(Management Fee rentable sf) Average Apt Unit Size -00005130214 09994871101 -005 00003375961 1007585612206 -15196307445 0131735624
Log(Management Fee rentable sf) Age 00013613923 10013623194 014 00037151697 1277713043957 03664414822 07146417588
Log(Management Fee rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -00674463479 09347778721 -652 00657081953 1299283630266 -10264525997 03065854809
Log(Total Utilities Rentable sf) Intercept -03748562337 06873880949 -3126 04464274077 1402143832266 -08396801522 04025171642
Log(Total Utilities Rentable sf) Green Certified (1=yes 0=no)[Yes] 00873163337 10912418217 912 0064576715 1358457024729 13521334071 01785794114
Log(Total Utilities Rentable sf) Gym (1=yes 0=no)[Yes] 01175979311 11247917766 1248 01048349264 1384172144229 11217438221 02639135776
Log(Total Utilities Rentable sf) Pool (1=yes 0=no)[Yes] 00115680134 10116351816 116 00928512423 72633370166 01245865221 09011950626
Log(Total Utilities Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00222539972 10225034645 225 01216524447 1425571484619 01829309493 0855112103
Log(Total Utilities Rentable sf) Walk Score 00068649233 10068885409 069 00029812807 1396033046894 23026759291 00227754146
Log(Total Utilities Rentable sf) of Unfurnished Apartments -00006773222 09993229071 -007 00004273761 1401067188346 -15848386198 01152575495
Log(Total Utilities Rentable sf) Average Apt Unit Size -00003442022 0999655857 -003 00003581401 1425120147852 -09610825805 03381384619
Log(Total Utilities Rentable sf) Age 00048795122 10048914364 049 00040600929 1425855030198 12018227897 02314244716
Log(Total Utilities Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -01198355423 08870663096 -1129 00742421382 1413320388001 -16141176043 01087323819
Log(MampR rentable sf) Intercept -09030689887 04053238148 -5947 0437858541 1384008312652 -20624674504 00410332652
Log(MampR rentable sf) Green Certified (1=yes 0=no)[Yes] 00937424436 10982768413 983 00639155521 1376081716673 14666609392 01447499128
Log(MampR rentable sf) Gym (1=yes 0=no)[Yes] 00037664885 10037735907 038 01036113865 1396450691334 00363520715 09710535435
Log(MampR rentable sf) Pool (1=yes 0=no)[Yes] 01319613595 11410642271 1411 00887446725 719561267791 14869778183 0141389644
Log(MampR rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00521515872 09491849716 -508 01197720975 1428478988157 -04354235112 06639122497
Log(MampR rentable sf) Walk Score 00110131704 10110740386 111 00029197236 1385662208531 37719907631 00002391344
Log(MampR rentable sf) of Unfurnished Apartments -00008849955 09991153959 -009 00004219429 1410140957414 -20974297602 0037740228
Log(MampR rentable sf) Average Apt Unit Size 00000594506 10000594524 001 0000353075 1429981472006 01683796031 08665225748
Log(MampR rentable sf) Age 0007624822 1007653965 077 00039990018 142990029884 19066812998 00585678315
Log(MampR rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00598131349 10616381449 616 00727173027 1406732379184 08225433659 04121598071
Log(Subtotal Maintenance rentable sf) Intercept -07997344997 04494482769 -5506 0489167182 1380935604874 -16348899298 01043496414
Log(Subtotal Maintenance rentable sf) Green Certified (1=yes 0=no)[Yes] 01180969773 11253532398 1254 00707986514 1348907221481 16680681771 00976219515
Log(Subtotal Maintenance rentable sf) Gym (1=yes 0=no)[Yes] 00409351965 10417845921 418 01148796072 1378640116803 03563312718 07221372278
Log(Subtotal Maintenance rentable sf) Pool (1=yes 0=no)[Yes] 01515780559 11636691295 1637 0100780712 617547240206 15040383505 01376688864
Log(Subtotal Maintenance rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -0078076377 09248937833 -751 01331885868 1426567369893 -05862092154 05586613077
Log(Subtotal Maintenance rentable sf) Walk Score 0011889233 10119601909 120 00032614069 1377504918879 36454307183 00003773801
Log(Subtotal Maintenance rentable sf) of Unfurnished Apartments -00008153416 09991849907 -008 00004682078 1398534995511 -17414095506 00838107083
Log(Subtotal Maintenance rentable sf) Average Apt Unit Size 00005083484 10005084776 005 00003930253 1428434249161 12934242295 01979520949
Log(Subtotal Maintenance rentable sf) Age 00104106727 10104650523 105 00044515054 1428449267664 23386858733 00207383998
Log(Subtotal Maintenance rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 02440298206 12763823925 2764 0081177414 1402563601749 30061295196 00031359748
Log(Property Insurance rentable sf) Intercept -08916874806 04099633635 -5900 04516384713 1429624291993 -19743390727 00502702101
Log(Property Insurance rentable sf) Green Certified (1=yes 0=no)[Yes] 01239058141 11319092561 1319 0062692592 1281678143933 19764027959 00502564371
Log(Property Insurance rentable sf) Gym (1=yes 0=no)[Yes] -0003522638 09964835593 -035 01024969537 1314939748594 -0034368221 09726356404
Log(Property Insurance rentable sf) Pool (1=yes 0=no)[Yes] 00227423743 10230029538 230 01040308572 1125700947624 02186118131 08273482928
Log(Property Insurance rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00155809876 10157030041 157 01206677853 1368483458399 01291230096 08974498986
Log(Property Insurance rentable sf) Walk Score 00072977866 10073244804 073 00030353828 1428602075435 24042392705 00174877086
Log(Property Insurance rentable sf) of Unfurnished Apartments -00010061941 09989943119 -010 0000420017 1337858380697 -23956034086 00179774093
Log(Property Insurance rentable sf) Average Apt Unit Size -00006330482 09993671521 -006 00003514502 1338864329416 -18012458048 0073914725
Log(Property Insurance rentable sf) Age 00009661099 10009665767 010 00039921418 1338497494964 02420028921 08091483095
Log(Property Insurance rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -00520208103 09493091112 -507 00749301111 1411273861679 -06942577501 04886618561
Log(Total All Expenses Rentable sf) Intercept 17410862845 57035357214 47035 03946731547 141889623796 44114636723 00000201648
Log(Total All Expenses Rentable sf) Green Certified (1=yes 0=no)[Yes] 01231722438 11310792255 1311 00565275641 1341244163534 21789766772 00310802733
Log(Total All Expenses Rentable sf) Gym (1=yes 0=no)[Yes] 00096244971 10096709615 097 00919378962 1370603130567 01046847658 09167789899
Log(Total All Expenses Rentable sf) Pool (1=yes 0=no)[Yes] 01610294116 11747195186 1747 00846545666 801516751987 19021940341 00607378863
Log(Total All Expenses Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00361842114 09644626121 -355 01071504659 1418739239709 -03376953252 07360919324
Log(Total All Expenses Rentable sf) Walk Score 00087371658 10087754463 088 00026426023 1411809488418 33062734678 00011989895
Log(Total All Expenses Rentable sf) of Unfurnished Apartments -00008720665 09991283137 -009 00003752966 1389800988186 -23236728617 00215934791
Log(Total All Expenses Rentable sf) Average Apt Unit Size -0000155413 0999844599 -002 00003145108 1409449329598 -0494142052 06219751067
Log(Total All Expenses Rentable sf) Age 00015666155 10015678433 016 00035695206 1412387206124 04388868073 06614142124
Log(Total All Expenses Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00157918953 10159172462 159 00657593447 1424551160559 02401467861 08105616925
Log(NOI Rentable sf) Intercept 27416093787 155119295878 145119 049686036 1426328429735 55178669889 0000000157
Log(NOI Rentable sf) Green Certified (1=yes 0=no)[Yes] 00932241108 10977077159 977 00701671113 1292740226257 13286012361 01863200879
Log(NOI Rentable sf) Gym (1=yes 0=no)[Yes] 0111280688 11177085902 1177 0114413579 13320261997 09726178396 03325061802
Log(NOI Rentable sf) Pool (1=yes 0=no)[Yes] -00608871507 0940929417 -591 01107002034 838263437204 -05500184174 05837693269
Log(NOI Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -01393113526 08699571229 -1300 01340931949 1397855428856 -10389144106 03006382455
Log(NOI Rentable sf) Walk Score 00045000262 10045101666 045 0003337636 1423581725818 13482675372 01797136327
Log(NOI Rentable sf) of Unfurnished Apartments -00007116645 09992885887 -007 00004679272 1358400867851 -15208872073 01306124688
Log(NOI Rentable sf) Average Apt Unit Size -00001937801 09998062387 -002 00003921685 1372175013367 -04941245389 06220083144
Log(NOI Rentable sf) Age 00034607088 1003466704 035 00044548378 1376438770548 07768428318 04385844885
Log(NOI Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00488697769 10500835966 501 00828565286 1429949688826 05898120243 0556247504
Concessions rentable sf Intercept 0091580439 10959049266 959 12772069558 1418541020247 00717036801 09429387231
Concessions rentable sf Green Certified (1=yes 0=no)[Yes] 01110697527 11174728508 1175 01814813765 1293641668833 06120173584 05416004511
Concessions rentable sf Gym (1=yes 0=no)[Yes] -05094051331 06008529 -3991 02955403985 1336296409402 -17236395961 00870857294
Concessions rentable sf Pool (1=yes 0=no)[Yes] -00886152984 09151975838 -848 02791864929 69298361986 -03174053928 07518903943
Concessions rentable sf Outdoor Common Area (1=yes 0=no)[Yes] 04576291372 15803228114 5803 03455726285 1408379747117 13242632646 01875606951
Concessions rentable sf Walk Score 00120688741 10121419968 121 00085630896 1409791646097 14094064916 01609170757
Concessions rentable sf of Unfurnished Apartments -00007045588 09992956894 -007 00012075862 1364744404696 -05834438741 05605574922
Concessions rentable sf Average Apt Unit Size -00003193903 09996806607 -003 00010135961 1389703034326 -03151061148 07531537379
Concessions rentable sf Age 00130223218 10131074815 131 00115086772 139464867267 11315220311 02597773256
Concessions rentable sf Building Mix (0=multifamily 1 = mixed-use)[Mixed] -03719888249 06893619462 -3106 02129597676 1426034459287 -17467563435 00828326573
Page 9: AUGUST 21- 23, 2018 • CLEVELAND, OHIO€¦ · Business Case 2.0: New Research Around High Performing Buildings Thursday 23 rd, 2018 10:30am – 12:00pm

Default risk and source EUI (cont)

The coefficient estimates for BOTH the Electricity Price Gap and Source EUI are significant at better than the 05 level of statistical significance

bull The higher the Source EUI (the more energy usage per square foot) the higher the likelihood of default

bull The higher the Electricity Price Gap (the larger the difference between the actual and the expected electricity prices since the loan origination) the higher the likelihood of default

Office + Retail ndash Linear probability model

9

Default risk and source EUI

Coefficient Estimate Standard Error

Intercept -040444 018466Log Source EUI 007335 003129

Origination Loan-to-Value Ratio 000258 000096

Coupon Spread to 10 Year Treasury 002188 001565

Electricity Price Gap 000003 000001

Time to Maturity on Balloon -000189 000060

Origination Year Fixed Effects Yes

473 observations R2 = 1052 plt01 plt005 plt001

Office + Retail ndash Linear probability model

10

Default risk and source EUI (cont)

Coefficient estimates are significant and robust for three cohorts all buildings Office + multiuse + retail office only Coefficient estimates for electricity price gap significant for all buildings

office + multiuse + retail Consistent results for linear probability and logistic regression models

11

Analysis using Scaled Source EUI ndash Linear probability model

Ratio of Source EUI to NOI(floor area)

Default risk and source EUI (cont)

Coefficient Estimate Standard Error

Intercept -000538 011067Scaled Source EUI 000183 0000369

Origination Loan-to-Value Ratio 000263 000117

Coupon Spread to 10 Year Treasury 000751 0040

Electricity Price Gap 000003 000001

Time to Maturity on Balloon -000203 000068

Origination Year Fixed Effects Yes

339 observations R2 = 1768 plt01 plt005 plt001

Scaled Source EUI (Office + MU + Retail) ndash Linear probability model

12

What are the impacts on specific loansCollaborate with lenders to 1 Demonstrate impact of energy use and price on specific mortgage loans2 Develop recommendations

Approach Compile info from Appraisals PCAs

other sources Estimate source EUI variations

Simulation and empirical approaches

Compute electricity price gap using forward curves

Compute default risk impact due to source EUI and electricity price gap

13

Case Studies

Denver Office

Denver Hotel

San Francisco Multi-family

San Jose Office Sonoma Office

Denver Office ndash energy use and default riskFacilities Management factors HVAC schedule Thermostat setback Supply air temp control VAV min flow control Economizer controls Lighting controlsLevels good average poor

Occupancy factors Occupant density Occupant schedule Plug load density Plug load controlsLevels goodlow average poorhigh

CaseFacilities mgmtfactors

OccupancyFactors

Source EUI change ()

Default risk change (bp)

1 Good GoodLow -54 -248

2 Good Ave -33 -127

3 Ave Ave - -

4 Good PoorHigh +4 +12

5 Poor GoodLow +64 +158

6 Poor Ave +76 +181

7 Poor PoorHigh +132 +268

15

Denver Office ndash energy price and default risk

16

Case Studies ndash summary of risks impacts

Building Source EUI variation ()

Default rate variation (bp)

Default rate variation relative to TREPP avg ()

Denver Office -54 to +132 -248 to +268 -31 to +34

Sonoma Office -40 to +183 -161 to +331 -20 to +41

San Jose Office -62 to +119 -308 to +249 -39 to +31

Denver Hotel -11 to +17 -37 to +49 -5 to +6

San Francisco Multi-family -20 to +26 -72 to +74 -9 to +9

Wholesale price region Default rate variation (bp) Default rate variation relative to TREPP avg ()

Denver area +159 to +501 +20 to +63

Northern California -49 to +705 -6 to +88

Compare to TREPP average default rate of 800bp

17

Case Studies ndash business impactThese results showing the impact of energy on default risk are clearly meaningful I dont currently consider energy efficiency when making a loan and seeing this makes me think I would want to ask about itrdquo

I would like to apply these findings but would want an easy way to use it A simple score or ratio for energy risk would be good In fact I would be interested to pilot test it

Keith Hanley Silicon Valley Bank

18

Looking Ahead

Looking Ahead ndash our visionTo have energy factors fully and routinely incorporated in commercial mortgage valuation accelerating demand for buildings with lower energy risk

20

Show that energy matters

Develop and pilot

interventions Disseminate

best practices Institutionalize

Analysis of energy impacts

Long term

Case studies on actual mortgage loans

Protocols and tools for lenders and owners

Industry Standards

Scope of current effort

RecommendationsLenders Ask owners to provide info on energy cost range

Account for variations in energy use and energy price Could be done as part of Property Condition Assessment Can reference ASTM standard

Incorporate energy risk factor into underwriting and terms eg Interest rate discount for lower risk

Offer additional loan proceeds for EE investments

Owners Ask lenders to account for energy efficiency when setting mortgage

terms Provide data on energy costs to lender

Historical and anticipated In appraisal andor PCA

21

Thank you

Money Matters Exploring the Financial Impacts of Green Certifications in the Multifamily Rental Sector

Erin A Hopkins PhD CAPS LEED Green AssociateAssistant Professor of Property Management

bull Sample 153 properties from 2 of National Multifamily Housing Councilrsquos 2016 50 Largest Apartment Managers

bull Green-certified 2288 of properties (35 properties)bull Methodology Multiple Regression Analysisbull Controls Location Fitness Center Pool Outdoor Common Area Walk

Score of Unfurnished Apartments Average Apartment Unit Size Age Building Mix

bull Limitations Building class not directly taken into account

Overview of Research

Certifications Represented in Sample

Austin Energy Green Buildingreg (AEGB)

Rating System(3)

ENERGY STARreg

(1)

Florida Green Building Coalition

(FGBC)(1)

GreenPoint Rated(4)

LEEDreg

(16)

National Green Building Standardtrade

(NGBS)(11)

Properties by City

2

4

2 2 21 1

3

1 1 12 2

1 1 1

6

1 1

8

11

4

6

14

3

1

19

3

1 1

7

43

2

9

18

2 2

0

2

4

6

8

10

12

14

16

18

20

Summary Statistics of City Datan=153

Summary Satistics of City Data Green Bldgs Summary Satistics of City Data Non-Green Comparables

Descriptive

97

71

100

31

89

69

93

24

0

20

40

60

80

100

120

Fitness Center Pool Outdoor Common Area Mixed-Use Property

Summary Statistics of Green vs Non-Green Propertiesn = 153

Green Non-Green

Descriptive

73228

866

2011

74

259

894

2003

0

500

1000

1500

2000

2500

Walk Score Average Number of Units Average Apt Unit Size (sf) Age

Summary Statistics of Green vs Non-Green Properties

n = 153

Green Non-Green

Findings

Total Rents Collected1047

Total Maintenance1254

Property Insurance1319

Total Expenses1311

Higher rents and expenses

Financial Impacts of Green

Dependent Variable Per Square Foot Per Apartment Per PropertyTotal Rents Collected 247$ 2189$ 551683$ Subtotal Maintenance 020$ 178$ 44843$ Property Insurance 005$ 42$ 10601$ Total Expenses 112$ 990$ 249535$

Coefficients Standard Errors

Tables

Summary of Green Impacts

Summary Table

Discussion

bull Assume efficient operations will offset the higher rent

bull Philanthropic motivesbull Prestige motivesbull Green buildings tend to be newermore

likely to offer the more sought-after amenities and finishes

bull Tend to be in higher-income areaslikely have higher rents

Different motivations for paying higher rent may be in

play

Discussion

Higher Operating Expenses a Surprise

Does not align with much of the existing researchhellipbut no research on effects of green certification on total operating expenses within multifamily rental sector

Many of the certifications represented in this study focus on the design phase of the property vs the operations and maintenance phase

And although promotion of sustainability is on the rise in the multifamily housing sector staff may remain unfamiliar with the unique operations and maintenance of green

buildings

Final Thoughts

Apartment homes represent $13 trillion to the US economy and 5 million new rental households are expected by 2023 (National Multifamily Housing Council 2015)

Upfront capital constraints regulatory issues knowledge limitations and marketing concerns may diminish the attractiveness of multifamily rental green building

certification if not properly managed

Most studies focus on office sector andor strictly rents or property value

This study begins to look at the multifamily rental sector and offer a more comprehensive analysis

Further research is needed with larger datasets to understand effects of green certification on income statement components in the apartment industry as NOI

ultimately determines property market valueOptimism that this study can be the impetus for further research contributions on the

financial environmental and resident satisfaction impacts of green practices and certifications on the multifamily rental sector

Contact informationErin A Hopkinserinz1vtedu

Acknowledgementsbull Todd Feist Sustainability Program Manager at The Institute of

Real Estate Management (IREMreg) for his assistance with this research project

bull Yardi and IREMreg for the grant awarded to support this researchbull The two property management companies for sharing their data

BUILDING PERFORMANCE

UNLOCKINGVALUE

New DOE-driven Research Around High Performing Buildings

AUGUST 23 2018

ANDREW WHITEASSOCIATE MANAGERawhiteretechadvisorscom

2015-2016 bull Research design working group pilot study data lab

2017 bull Connect to Real Estate Research Institute (RERI) Literature review and gap analysis

2018 bull Research agenda request for proposals research project selection and execution

Context Setting ndash DOE Research EffortWhat are the impacts of energy efficiency and high-performance building

features on financial performance of commercial real estate

RERIrsquos mission is to encourage and reward research on real estate as an investment and as an asset class that is both academically rigorous and of value to the institutional real estate investment profession In addition RERI serves to provide a forum through which the real estate academic professional and regulatory communities can interact facilitating the exchange of insights amongst these stakeholders

RERI Overview

Sponsors

Build upon DOErsquos Review of Studies in the Market

bull Focus explicitly on peer-reviewed papers Gap analysis of existing research to

identifybull Questions that have already been

sufficiently provenbull Holes in existing body of research

Academic Inputbull Guidance on which studies to includebull Suggestions for how to conduct analysis

Literature Review Objectives

Literature Review Results

LEED

ENER

GY

ST

AR

labe

l

ENER

GY

ST

AR

sc

ore

Ener

gy u

se

BR

EEA

M

Ener

gy

Perf

orm

anc

e Cer

tific

ates

(U

K)

BO

MA

B

EST

Wal

kabi

lity

Non

-ene

rgy

gree

n fe

atur

es

Oth

er

Rent 20 18 1 2 2 2 1 1 1Rent concessions 1 1 1Sales price 9 11 1 1 1 1Assessed value 2 2Market value 1 2 1 2 1Occupancy 10 9 1Lease renewals 1 1 1Service charge 1Operating cost 2 3Energy cost 2 3Tenant satisfaction 1 1 1Sales time 1 1Default rate 2 1Capitalization rate 1 2 2 1Net operating income 1 1 1Loan to value ratio 1 1Debt service coverage ratio 1 1Worker productivity 1 1Other 5 4 1 4 2 2

There is considerable evidence that green building certifications correlate with increased economic value primarily via higher rents and sales prices

bull How do we move beyond certification to analyze performancebull Correlation vs Causation

bull What is driving added value Is it green features and efficiency the green labels themselves or other desirable features often included in certified buildings

Panel studies could help reduce some of the uncertainty and noise Full results presented at ACEEE Summer Study

bull Raising the Rent Premium Moving Green Building Research Beyond Certifications and Rent

bull Cindy Zhu Andrew White Paul Mathew Jeff Deason Philip Coleman

Literature Review Results

Research Agenda Core QuestionldquoHow does ltenergygreen metricgt affect ltfinancial value metricgtrdquo

EnergyGreen Metric

Site energy use or EUI

Source energy use or EUI

Energy cost or costsf

ENERGY STAR score

ENERGY STAR label

Green Building Certification (LEED BOMA 360)

Green Building Certification level (eg LEED Silver Gold)

Financial Value Metric

VacancyOccupancy Sales Price

Leasing Velocity (absorption speed of sales leasing)

Regulatory amp Compliance Risk

Tenant Renewals Insurance (rates ability)

Tenant Satisfaction Default Risk

Rental Income and Rent Concessions Debt Service Coverage Ratio

Marketing Costs Access to Funding

Utility Costs Maintenance OpEx Interest Rates

Obsolescence Reserves

Capitalization Rates

12 proposals received 5 projects selected Criteria

bull Department of Energy goals

bull Impact on Commercial Real Estate (CRE) Industry

bull Feasibility and Interest

bull Quality and Validity

Proposal Reviews

Jim Clayton Avis Devine (York University) and Rogier Holtermans(University of Guelph) Analyzing four types of energy

efficiency interventions on financial components that impact property-level NOI

bull How do interventions impact different aspects of building operations and their subsequent financial impact

Beyond Environmental Building Certification The Impact of Environmental Interventions on Commercial Real Estate Operations

Piet Eichholtz and Nils Kok (Maastricht University) and RogierHoltermans (University of Guelph) Three key questions

bull How is environmental building certification related to commercial building energy consumption

bull How does aging affect the energy consumption of the commercial building stock

bull To what extent do specific energy efficiency investments affect energy consumption in commercial real estate

The Dynamics of Energy Consumption in Commercial Real Estate

Sofia Dermisi Chris Lee and YoungjinChoe (University of Washington) Exploring the effect of disclosure

policies on office building marketability while assessing potential links between market performance of sustainable assets

bull Before and after the disclosure policies while considering market cycles

bull Before and after ENERGY STAR andor LEED certification

Markets included San Francisco Washington DC

Effect of Energy Benchmarking and Disclosure on Office Building Marketability

Dirk Brounen (Tilburg University) and Gianluca Marcato (Reading University) Analyzing the adoption of GRESB within the public real estate markets and

predicting a potential impact of GRESB scores on REIT returns

Sustainable Insights and Public Real Estate Performance GRESB Effects in REIT Markets

Constantine Kontokosta (New York University) Franz Fuerst(Cambridge University) Gary Pivo (University of Arizona) amp Jacob Sagi (UNC Chapel Hill) Utilizing NYC data to empirically model

bull the spread between the premium for labeled (energy efficient) buildings and the cost to retrofit an under-performing building to meet the same standard which will allow us to understand how much of the observed premium is attributable to energy efficiency and how much can be assigned to other perceived benefits (marketing construction quality etc)

bull the hurdle rate for energy retrofit investments using actual audit data and permitted renovation work

Estimating Office and Residential Building Energy Retrofit Hurdle Rates and Risk Arbitrage in Energy Efficiency Investments

Collecting data for continued Data Lab analysis Presenting Research findings

bull Interim research results ndash IPC Research Symposium (October)bull Greenbuild Session (November)bull RERI Research Conference (April)bull Final research results ndash Better Buildings Webinars Summit 2019 (TBA)

Work with DOE case study and data analysis opportunities abound

Next Steps

Paul Mathew

Lawrence Berkeley National Laboratorypamathewlblgov

Paulo Issler

University of California Berkeleypauloisslerberkeleyedu

Erin Hopkins

Virginia Techerinz1vtedu

Andrew White

RE Tech Advisorsawhiteretechadvisorscom

Contact Info

  • Slide Number 1
  • Business Case 20 New Research Around High Performing Buildings
  • Panelists
  • Energy and Default Risk in Commercial Mortgages
  • Paulo Issler
  • Acknowledgements
  • The link between energy and CRE mortgages
  • Approach Impact of energy on default rate
  • Default risk and source EUI (cont)
  • Default risk and source EUI
  • Default risk and source EUI (cont)
  • Default risk and source EUI (cont)
  • What are the impacts on specific loans
  • Case Studies
  • Denver Office ndash energy use and default risk
  • Denver Office ndash energy price and default risk
  • Case Studies ndash summary of risks impacts
  • Case Studies ndash business impact
  • Looking Ahead
  • Looking Ahead ndash our vision
  • Recommendations
  • Slide Number 22
  • Money Matters Exploring the Financial Impacts of Green Certifications in the Multifamily Rental SectorErin A Hopkins PhD CAPS LEED Green AssociateAssistant Professor of Property Management
  • Overview of Research
  • Certifications Represented in Sample
  • Properties by City
  • Descriptive
  • Descriptive
  • Findings
  • Financial Impacts of Green
  • Discussion
  • Discussion
  • Final Thoughts
  • Slide Number 34
  • Slide Number 35
  • Context Setting ndash DOE Research Effort
  • RERI Overview
  • Literature Review Objectives
  • Literature Review Results
  • Literature Review Results
  • Research Agenda Core Question
  • Proposal Reviews
  • Beyond Environmental Building Certification The Impact of Environmental Interventions on Commercial Real Estate Operations
  • The Dynamics of Energy Consumption in Commercial Real Estate
  • Effect of Energy Benchmarking and Disclosure on Office Building Marketability
  • Sustainable Insights and Public Real Estate Performance GRESB Effects in REIT Markets
  • Estimating Office and Residential Building Energy Retrofit Hurdle Rates and Risk Arbitrage in Energy Efficiency Investments
  • Next Steps
  • Contact Info
Y Term ~Bias Estimate EXP estimate Practical Interpretation increasedecrease Std Error DFDen t Ratio Probgt|t| Log(Vacancies amp Rent Loss rentable sf) Log(Total Rents Collected rentable sf) Log(Total Actual Collections rentable sf) Log(Management Fee rentable sf) Log(Total Utilities Rentable sf) Log(MampR rentable sf) Log(Subtotal Maintenance rentable sf) Log(Property Insurance rentable sf) Log(Total All Expenses Rentable sf) Log(NOI Rentable sf) Concessions rentable sf
Log(Vacancies amp Rent Loss rentable sf) Intercept 00893029328 10934118365 934 06116337119 1083785495375 01460072116 08841869197 Green Certified (1=yes 0=no)[Yes] -00318 01047 00991
Log(Vacancies amp Rent Loss rentable sf) Green Certified (1=yes 0=no)[Yes] -0031825668 09686754385 -313 009164153 139931853592 -03472843369 07288994904 Gym (1=yes 0=no)[Yes] 01060 00708 00767
Log(Vacancies amp Rent Loss rentable sf) Gym (1=yes 0=no)[Yes] 01007730854 11060256399 1060 01479591517 1412043780621 0681087207 0496931725 Pool (1=yes 0=no)[Yes] 01126 00089 00131
Log(Vacancies amp Rent Loss rentable sf) Pool (1=yes 0=no)[Yes] 01125884395 11191712315 1192 0113345701 506840641957 09933190097 032527325 Outdoor Common Area (1=yes 0=no)[Yes] 02673 -00803 -00764
Log(Vacancies amp Rent Loss rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 02672618233 13063824429 3064 01690835398 1429144230275 15806495624 01161688791 Walk Score 00102 00065 00066
Log(Vacancies amp Rent Loss rentable sf) Walk Score 00101642302 10102160615 102 00040763935 1219632686439 24934369735 00139912712 of Unfurnished Apartments -00003 -00009 -00008
Log(Vacancies amp Rent Loss rentable sf) of Unfurnished Apartments -0000250981 09997490505 -003 00006011213 142449410245 -04175214322 06769256723 Average Apt Unit Size -00003 -00002 -00002
Log(Vacancies amp Rent Loss rentable sf) Average Apt Unit Size -00002575258 09997425074 -003 00004990119 1315989429881 -05160713681 06066705884 Age -00026 00008 00015
Log(Vacancies amp Rent Loss rentable sf) Age -00026152008 09973882158 -026 00056263988 1391583522195 -04648090107 06427946925 Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00099 00043 00252
Log(Vacancies amp Rent Loss rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00099001013 10099492694 099 0100821633 1384002310718 00981942166 09219201454
Log(Total Rents Collected rentable sf) Intercept 30195696974 204824761253 194825 04164909532 1420770663705 72500246992 0
Log(Total Rents Collected rentable sf) Green Certified (1=yes 0=no)[Yes] 00996165255 11047471944 1047
Hopkins Erin Hopkins Erincant provide a confidencd interval for it
00590542761 1286416575023 16868638818 0094053065
Log(Total Rents Collected rentable sf) Gym (1=yes 0=no)[Yes] 00684081888 10708023088 708 0096210834 1330244953516 07110237581 04783143732
Log(Total Rents Collected rentable sf) Pool (1=yes 0=no)[Yes] 00088712036 10089106694 089 00916333982 708572236354 00968119025 09231490817
Log(Total Rents Collected rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00836597449 09197441505 -803 01126005752 1404546011941 -07429779537 04587359136
Log(Total Rents Collected rentable sf) Walk Score 0006479206 10065002414 065 0002794287 1413201347208 23187331419 00218436949
Log(Total Rents Collected rentable sf) of Unfurnished Apartments -00008678845 0999132492 -009 00003932429 1359586026848 -22069932213 00289920945
Log(Total Rents Collected rentable sf) Average Apt Unit Size -00002078918 09997921298 -002 00003300088 1382568544162 -06299582685 05297616269
Log(Total Rents Collected rentable sf) Age 00008364704 10008368204 008 00037477419 1387794745176 02231931757 08237133506
Log(Total Rents Collected rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00042999624 10043092206 043 0069466499 142786243042 00618998008 09507291881
Log(Total Actual Collections rentable sf) Intercept 30681072891 215011686418 205012 04070110501 1415072794017 75381424868 0
Log(Total Actual Collections rentable sf) Green Certified (1=yes 0=no)[Yes] 00944491888 10990533175 991 00578900924 1291837028308 16315259643 01052148631
Log(Total Actual Collections rentable sf) Gym (1=yes 0=no)[Yes] 00739127176 10767128233 767 0094247393 1335821297113 07842415071 04342868782
Log(Total Actual Collections rentable sf) Pool (1=yes 0=no)[Yes] 00130418887 10131273051 131 00885804441 654593026021 01472321442 08834013324
Log(Total Actual Collections rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00794248992 0923647384 -764 01101507414 1410305976559 -07210564195 04720684016
Log(Total Actual Collections rentable sf) Walk Score 00065530115 10065745295 066 00027272037 14047408887 24028316857 00175745575
Log(Total Actual Collections rentable sf) of Unfurnished Apartments -0000833078 09991672689 -008 00003850262 1365168778586 -21636916411 00322285543
Log(Total Actual Collections rentable sf) Average Apt Unit Size -00002169447 09997830788 -002 00003233576 1393662972101 -06709126047 05033865944
Log(Total Actual Collections rentable sf) Age 00015178151 10015189676 015 0003670824 1398532082324 04134807595 06798877496
Log(Total Actual Collections rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00249154485 10252284322 252 0067842812 1423468871242 03672525904 07139760316
Log(Management Fee rentable sf) Intercept -02128803278 08082528568 -1917 04254329778 585619088893 -0500385111 06186792644
Log(Management Fee rentable sf) Green Certified (1=yes 0=no)[Yes] 0019865513 10200641454 201 00593086525 1354977267554 03349513461 07381797603
Log(Management Fee rentable sf) Gym (1=yes 0=no)[Yes] -00082052627 09918283086 -082 00958032958 1386068833723 -00856469772 09318706455
Log(Management Fee rentable sf) Pool (1=yes 0=no)[Yes] 00174275629 10175803089 176 00771880661 202180965349 02257805358 08236388274
Log(Management Fee rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00153191452 10154370848 154 01103651216 1423896402644 01388042255 08898009734
Log(Management Fee rentable sf) Walk Score 00070459229 10070708039 071 00028008303 805559990921 25156550566 0013868745
Log(Management Fee rentable sf) of Unfurnished Apartments -0001358177 09986427449 -014 00003916726 1421224837061 -34676335479 00006950146
Log(Management Fee rentable sf) Average Apt Unit Size -00005130214 09994871101 -005 00003375961 1007585612206 -15196307445 0131735624
Log(Management Fee rentable sf) Age 00013613923 10013623194 014 00037151697 1277713043957 03664414822 07146417588
Log(Management Fee rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -00674463479 09347778721 -652 00657081953 1299283630266 -10264525997 03065854809
Log(Total Utilities Rentable sf) Intercept -03748562337 06873880949 -3126 04464274077 1402143832266 -08396801522 04025171642
Log(Total Utilities Rentable sf) Green Certified (1=yes 0=no)[Yes] 00873163337 10912418217 912 0064576715 1358457024729 13521334071 01785794114
Log(Total Utilities Rentable sf) Gym (1=yes 0=no)[Yes] 01175979311 11247917766 1248 01048349264 1384172144229 11217438221 02639135776
Log(Total Utilities Rentable sf) Pool (1=yes 0=no)[Yes] 00115680134 10116351816 116 00928512423 72633370166 01245865221 09011950626
Log(Total Utilities Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00222539972 10225034645 225 01216524447 1425571484619 01829309493 0855112103
Log(Total Utilities Rentable sf) Walk Score 00068649233 10068885409 069 00029812807 1396033046894 23026759291 00227754146
Log(Total Utilities Rentable sf) of Unfurnished Apartments -00006773222 09993229071 -007 00004273761 1401067188346 -15848386198 01152575495
Log(Total Utilities Rentable sf) Average Apt Unit Size -00003442022 0999655857 -003 00003581401 1425120147852 -09610825805 03381384619
Log(Total Utilities Rentable sf) Age 00048795122 10048914364 049 00040600929 1425855030198 12018227897 02314244716
Log(Total Utilities Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -01198355423 08870663096 -1129 00742421382 1413320388001 -16141176043 01087323819
Log(MampR rentable sf) Intercept -09030689887 04053238148 -5947 0437858541 1384008312652 -20624674504 00410332652
Log(MampR rentable sf) Green Certified (1=yes 0=no)[Yes] 00937424436 10982768413 983 00639155521 1376081716673 14666609392 01447499128
Log(MampR rentable sf) Gym (1=yes 0=no)[Yes] 00037664885 10037735907 038 01036113865 1396450691334 00363520715 09710535435
Log(MampR rentable sf) Pool (1=yes 0=no)[Yes] 01319613595 11410642271 1411 00887446725 719561267791 14869778183 0141389644
Log(MampR rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00521515872 09491849716 -508 01197720975 1428478988157 -04354235112 06639122497
Log(MampR rentable sf) Walk Score 00110131704 10110740386 111 00029197236 1385662208531 37719907631 00002391344
Log(MampR rentable sf) of Unfurnished Apartments -00008849955 09991153959 -009 00004219429 1410140957414 -20974297602 0037740228
Log(MampR rentable sf) Average Apt Unit Size 00000594506 10000594524 001 0000353075 1429981472006 01683796031 08665225748
Log(MampR rentable sf) Age 0007624822 1007653965 077 00039990018 142990029884 19066812998 00585678315
Log(MampR rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00598131349 10616381449 616 00727173027 1406732379184 08225433659 04121598071
Log(Subtotal Maintenance rentable sf) Intercept -07997344997 04494482769 -5506 0489167182 1380935604874 -16348899298 01043496414
Log(Subtotal Maintenance rentable sf) Green Certified (1=yes 0=no)[Yes] 01180969773 11253532398 1254 00707986514 1348907221481 16680681771 00976219515
Log(Subtotal Maintenance rentable sf) Gym (1=yes 0=no)[Yes] 00409351965 10417845921 418 01148796072 1378640116803 03563312718 07221372278
Log(Subtotal Maintenance rentable sf) Pool (1=yes 0=no)[Yes] 01515780559 11636691295 1637 0100780712 617547240206 15040383505 01376688864
Log(Subtotal Maintenance rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -0078076377 09248937833 -751 01331885868 1426567369893 -05862092154 05586613077
Log(Subtotal Maintenance rentable sf) Walk Score 0011889233 10119601909 120 00032614069 1377504918879 36454307183 00003773801
Log(Subtotal Maintenance rentable sf) of Unfurnished Apartments -00008153416 09991849907 -008 00004682078 1398534995511 -17414095506 00838107083
Log(Subtotal Maintenance rentable sf) Average Apt Unit Size 00005083484 10005084776 005 00003930253 1428434249161 12934242295 01979520949
Log(Subtotal Maintenance rentable sf) Age 00104106727 10104650523 105 00044515054 1428449267664 23386858733 00207383998
Log(Subtotal Maintenance rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 02440298206 12763823925 2764 0081177414 1402563601749 30061295196 00031359748
Log(Property Insurance rentable sf) Intercept -08916874806 04099633635 -5900 04516384713 1429624291993 -19743390727 00502702101
Log(Property Insurance rentable sf) Green Certified (1=yes 0=no)[Yes] 01239058141 11319092561 1319 0062692592 1281678143933 19764027959 00502564371
Log(Property Insurance rentable sf) Gym (1=yes 0=no)[Yes] -0003522638 09964835593 -035 01024969537 1314939748594 -0034368221 09726356404
Log(Property Insurance rentable sf) Pool (1=yes 0=no)[Yes] 00227423743 10230029538 230 01040308572 1125700947624 02186118131 08273482928
Log(Property Insurance rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00155809876 10157030041 157 01206677853 1368483458399 01291230096 08974498986
Log(Property Insurance rentable sf) Walk Score 00072977866 10073244804 073 00030353828 1428602075435 24042392705 00174877086
Log(Property Insurance rentable sf) of Unfurnished Apartments -00010061941 09989943119 -010 0000420017 1337858380697 -23956034086 00179774093
Log(Property Insurance rentable sf) Average Apt Unit Size -00006330482 09993671521 -006 00003514502 1338864329416 -18012458048 0073914725
Log(Property Insurance rentable sf) Age 00009661099 10009665767 010 00039921418 1338497494964 02420028921 08091483095
Log(Property Insurance rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -00520208103 09493091112 -507 00749301111 1411273861679 -06942577501 04886618561
Log(Total All Expenses Rentable sf) Intercept 17410862845 57035357214 47035 03946731547 141889623796 44114636723 00000201648
Log(Total All Expenses Rentable sf) Green Certified (1=yes 0=no)[Yes] 01231722438 11310792255 1311 00565275641 1341244163534 21789766772 00310802733
Log(Total All Expenses Rentable sf) Gym (1=yes 0=no)[Yes] 00096244971 10096709615 097 00919378962 1370603130567 01046847658 09167789899
Log(Total All Expenses Rentable sf) Pool (1=yes 0=no)[Yes] 01610294116 11747195186 1747 00846545666 801516751987 19021940341 00607378863
Log(Total All Expenses Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00361842114 09644626121 -355 01071504659 1418739239709 -03376953252 07360919324
Log(Total All Expenses Rentable sf) Walk Score 00087371658 10087754463 088 00026426023 1411809488418 33062734678 00011989895
Log(Total All Expenses Rentable sf) of Unfurnished Apartments -00008720665 09991283137 -009 00003752966 1389800988186 -23236728617 00215934791
Log(Total All Expenses Rentable sf) Average Apt Unit Size -0000155413 0999844599 -002 00003145108 1409449329598 -0494142052 06219751067
Log(Total All Expenses Rentable sf) Age 00015666155 10015678433 016 00035695206 1412387206124 04388868073 06614142124
Log(Total All Expenses Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00157918953 10159172462 159 00657593447 1424551160559 02401467861 08105616925
Log(NOI Rentable sf) Intercept 27416093787 155119295878 145119 049686036 1426328429735 55178669889 0000000157
Log(NOI Rentable sf) Green Certified (1=yes 0=no)[Yes] 00932241108 10977077159 977 00701671113 1292740226257 13286012361 01863200879
Log(NOI Rentable sf) Gym (1=yes 0=no)[Yes] 0111280688 11177085902 1177 0114413579 13320261997 09726178396 03325061802
Log(NOI Rentable sf) Pool (1=yes 0=no)[Yes] -00608871507 0940929417 -591 01107002034 838263437204 -05500184174 05837693269
Log(NOI Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -01393113526 08699571229 -1300 01340931949 1397855428856 -10389144106 03006382455
Log(NOI Rentable sf) Walk Score 00045000262 10045101666 045 0003337636 1423581725818 13482675372 01797136327
Log(NOI Rentable sf) of Unfurnished Apartments -00007116645 09992885887 -007 00004679272 1358400867851 -15208872073 01306124688
Log(NOI Rentable sf) Average Apt Unit Size -00001937801 09998062387 -002 00003921685 1372175013367 -04941245389 06220083144
Log(NOI Rentable sf) Age 00034607088 1003466704 035 00044548378 1376438770548 07768428318 04385844885
Log(NOI Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00488697769 10500835966 501 00828565286 1429949688826 05898120243 0556247504
Concessions rentable sf Intercept 0091580439 10959049266 959 12772069558 1418541020247 00717036801 09429387231
Concessions rentable sf Green Certified (1=yes 0=no)[Yes] 01110697527 11174728508 1175 01814813765 1293641668833 06120173584 05416004511
Concessions rentable sf Gym (1=yes 0=no)[Yes] -05094051331 06008529 -3991 02955403985 1336296409402 -17236395961 00870857294
Concessions rentable sf Pool (1=yes 0=no)[Yes] -00886152984 09151975838 -848 02791864929 69298361986 -03174053928 07518903943
Concessions rentable sf Outdoor Common Area (1=yes 0=no)[Yes] 04576291372 15803228114 5803 03455726285 1408379747117 13242632646 01875606951
Concessions rentable sf Walk Score 00120688741 10121419968 121 00085630896 1409791646097 14094064916 01609170757
Concessions rentable sf of Unfurnished Apartments -00007045588 09992956894 -007 00012075862 1364744404696 -05834438741 05605574922
Concessions rentable sf Average Apt Unit Size -00003193903 09996806607 -003 00010135961 1389703034326 -03151061148 07531537379
Concessions rentable sf Age 00130223218 10131074815 131 00115086772 139464867267 11315220311 02597773256
Concessions rentable sf Building Mix (0=multifamily 1 = mixed-use)[Mixed] -03719888249 06893619462 -3106 02129597676 1426034459287 -17467563435 00828326573
Y Term Practical Interpretation increasedecrease Probgt|t| Total Rents Collected Subtotal Maintenance Property Insurance Total Expenses
Log(Total Rents Collected rentable sf) Green Certified (1=yes 0=no)[Yes] 1047
Hopkins Erin Hopkins Erincant provide a confidencd interval for it
009 130837635934 13311489362 01847683215 67633617021
Log(Subtotal Maintenance rentable sf) Green Certified (1=yes 0=no)[Yes] 1254 010 267662568114 08839769656 0489370035 133484365708
Log(Property Insurance rentable sf) Green Certified (1=yes 0=no)[Yes] 1319 005 44887430941 07758149459 02417429373 41261056301
Log(Total All Expenses Rentable sf) Green Certified (1=yes 0=no)[Yes] 1311 003 103066299601 12390720963 00474343371 5067818194
206907297628 2385711159 02072356932 9194606526
318766961061 22633758919 04452208547 128154919371
92461669878 09545425866 01280485733 38832017239
143925847783 15966970999 02187893202 54018796992
176714125561 02006495648 02876780533 58992020575
232897515382 0726170332 00787094673 69517596041
Non-green sf average Financial Green Impact sf Financial green impact differencesf Green impactapt Green impactproperty 51780910259 05203453537 00494304264 22609306646
178353784788 17547710996 02048626598 95961490345
Total Rents Collected sf 1047 2356 2603 $ 247 $ 2189 $ 551683 113769814112 12206875575 03432049607 118156743193
Subtotal Maintenance sf 1254 160 180 $ 020 $ 178 $ 44843 301239240258 10561596849 0204970258 110903994641
Property Insurance sf 1319 036 041 $ 005 $ 42 $ 10601 918584487 08376649832 00914663991 4146546939
Total Expenses sf 1311 852 963 $ 112 $ 990 $ 249535 265183769576 19294929362 03500602344 108447158033
226055903548 13557897255 03988791741 10971207244
334894587007 17970717884 05122599181 124640467569
5542518821 31394328066 04875650977 200668786372
112655732059 13445692884 02031297086 43995867235
129139526152 1168069688 00518980213 4651511283
Avg Apt Size Avg of Units 151098478261 13975 02004130435 51873478261
192155046737 21015937064 02616549091 8357602264
887 252 514840434082 52766375656 02375463267 174375582672
81421971535 06694487849 00899424521 2748686222
30246817244 21594341279 03308639536 97277207077
488523197409 27727612187 0646599696 130752346177
318750561687 38903340576 03852711795 142409683793
310384048163 43119745565 03335824966 138846874251
Green Certification Impacts 48578215663 0350218077 03095574205 23695139998
Dependent Variable Per Square Foot Per Apartment Per Property 192237574111 13374121765 02053242615 84027476689
Total Rents Collected $ 247 $ 2189 $ 551683 62979912788 05343191729 00816289996 45390243161
Subtotal Maintenance $ 020 $ 178 $ 44843 148378959661 14651715909 02004049722 80900580942
Property Insurance $ 005 $ 42 $ 10601 196798863889 11267176542 02499920663 90266351433
Total Expenses $ 112 $ 990 $ 249535 281508617823 09686995581 01118170881 119863342059
58584849751 0106864586 04187933949 44180073736
126756167712 1265684516 02796423029 87538414144
176550549412 24957340254 02343899179 88904473415
252421786235 28063734042 03142238564 133776179357
191875932907 13637043757 03440324697 987034902
159508092934 13109374847 02091697013 98967206196
342739845467 09614092295 03929892961 129755936769
192510355167 32804720611 01743191858 134560085596
257829360401 13666691797 01527100011 56329812754
358622391559 14251973427 03437553732 101098436889
217744157919 24046486586 01864745418 68711016642
222112557003 22022148788 07879755849 97807110765
202535763689 04548110217 10003436751 127886698915
155879815194 23816051158 04816227091 119033557201
11066078843 23413202706 06413902496 81812176347
151924709838 18873401649 05711000232 105403544539
163604010853 16052949068 02714509557 82030431823
133974400047 11018949984 03560839935 59096477943
133528448829 13647819036 02538331588 66159357367
187400008959 16889788117 030870974 115752907975
155246293804 18308314258 03852380906 116657595614
34082816218 05447090935 09838411173 13641308574
201220131342 11192465065 03188344246 93786154242
139108532616 13313944086 03887737775 69698295902
191656858207 15717927807 06002115982 119380046581
200921599083 12597596226 03267106334 82474085087
57536742874 00453219212 00300766262 10569757217
120548294116 11607892527 03275736725 74435143659
123188534664 1404028789 03510968138 78762080781
59543029729 0899713372 01652374748 28143456117
144215639215 19193238703 02899837711 67370054173
340046684831 19619729415 04325060698 120608464163
208244777176 28183367899 037 73104355304
234349752613 19432301154 0351134881 107484594815
136370903402 17029933791 01989576534 50899930579
149968383478 14209793679 02735642323 63813718869
81145819519 0920766851 00474564037 30674168785
226307446224 12529424404 02036192613 69235920453
132787305462 08047482453 01232346659 41808605432
251519090044 21798380428 0376480317 80396623551
492269138212 12196979039 02981674812 128316943664
107177195916 08016374211 0113808252 40618650625
128238528886 10751217142 01843492552 6476830365
57582611557 11908427448 0874334536 134004066235
43835651097 34822540694 03904989384 146763800425
205787355386 1429219053 02624404931 5321754079
463148430769 07709353846 06150738462 101617384615
377949548611 28670972222 08296944444 109743576389
360087564176 03501711352 18551055334 110041072447
18371979614 18232783153 07267294459 61184870906
678035276363 13443501226 10431616676 167533484248
56073359244 10138647576 01591318768 51440832304
189431314891 05101557395 03677787459 41010945328
383550342095 23244425576 04086557393 98151764619
115544349685 03310482653 037 40344851625
7552318246 0955023726 01241945851 24368780848
133083101881 19451300341 00938801919 48731378614
122308363087 13760780005 01439989014 45100624828
84908269322 10857071617 01155797799 36082570734
263116048067 10733627163 041902582 60372732395
76183752731 09621126305 01069925907 26170373239
172494454001 11781600332 03919686814 59016193131
342076422068 22741368431 03165622465 73557085549
215534567901 1485497076 02210396361 49118778428
314593058927 23798916958 02751353803 121998559501
586535191691 21029046354 02109026171 91979074439
138093310078 14595490221 02142269839 44286283792
227203645682 04584630891 05737147639 93344680527
572754455737 17713614269 01642228739 92545561671
60603870458 04541110154 01180884676 15902125521
358781017266 33847643857 06854022643 139200146946
342079216629 24477703832 0463059603 67166143833
651201231187 51019950176 12529595849 222094150831
369798669702 21700816928 0444474205 101410502507
421838575952 28823013788 05443272608 151399739597
626095189209 20826275416 04947814184 184651096472
214882899762 25034709712 06359683889 109534721722
274037120739 26718517094 037 67504928595
252667703737 25588590114 05379535858 109041874345
59253832495 01099622961 04620367393 19262874847
150862851538 18053109961 07398729558 71488607075
111196959019 00928417366 037 09427894164
667360269858 07921160191 02989609494 104670639024
2356 160 036 852
Log(Vacancies amp Rent Loss rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified -00318 00916 -00313 07289
Fitness Center 01008 01480 01060 04969
Pool 01126 01133 01192 03253
Outdoor Common Area 02673 01691 03064 01162
Walk Score 00102 00041 00102 00140
of Unfurnished Apartments -00003 00006 -00003 06769
Average Apt Unit Size -00003 00005 -00003 06067
Age -00026 00056 -00026 06428
Building Mix 00099 01008 00099 09219
Note R2 = 645
Log(Total Rents Collected rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00996 00591 01047 00941
Fitness Center 00684 00962 00708 04783
Pool 00089 00916 00089 09231
Outdoor Common Area -00837 01126 -00803 04587
Walk Score 00065 00028 00065 00218
of Unfurnished Apartments -00009 00004 -00009 00290
Average Apt Unit Size -00002 00003 -00002 05298
Age 00008 00037 00008 08237
Building Mix 00043 00695 00043 09507
Note R2 = 3318
Log(Total Actual Collections rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00944 00579 00991 01052
Fitness Center 00739 00942 00767 04343
Pool 00130 00886 00131 08834
Outdoor Common Area -00794 01102 -00764 04721
Walk Score 00066 00027 00066 00176
of Unfurnished Apartments -00008 00004 -00008 00322
Average Apt Unit Size -00002 00003 -00002 05034
Age 00015 00037 00015 06799
Building Mix 00249 00678 00252 07140
Note R2 = 3219
Log(Management Fee rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00199 00593 00201 07382
Fitness Center -00082 00958 -00082 09319
Pool 00174 00772 00176 08236
Outdoor Common Area 00153 01104 00154 08898
Walk Score 00070 00028 00071 00139
of Unfurnished Apartments -00014 00004 -00014 00007
Average Apt Unit Size -00005 00003 -00005 01317
Age 00014 00037 00014 07146
Building Mix -00674 00657 -00652 03066
Note R2 = 1697
Log(Total Utilities Rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00873 00646 00912 01786
Fitness Center 01176 01048 01248 02639
Pool 00116 00929 00116 09012
Outdoor Common Area 00223 01217 00225 08551
Walk Score 00069 00030 00069 00228
of Unfurnished Apartments -00007 00004 -00007 01153
Average Apt Unit Size -00003 00004 -00003 03381
Age 00049 00041 00049 02314
Building Mix -01198 00742 -01129 01087
Note R2 = 2171
Log(MampR rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00937 00639 00983 01447
Fitness Center 00038 01036 00038 09711
Pool 01320 00887 01411 01414
Outdoor Common Area -00522 01198 -00508 06639
Walk Score 00110 00029 00111 00002
of Unfurnished Apartments -00009 00004 -00009 00377
Average Apt Unit Size 00001 00004 00001 08665
Age 00076 00040 00077 00586
Building Mix 00598 00727 00616 04122
Note R2 = 2620
Log(Subtotal Maintenance rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 01181 00708 01254 00976
Fitness Center 00409 01149 00418 07221
Pool 01516 01008 01637 01377
Outdoor Common Area -00781 01332 -00751 05587
Walk Score 00119 00033 00120 00004
of Unfurnished Apartments -00008 00005 -00008 00838
Average Apt Unit Size 00005 00004 00005 01980
Age 00104 00045 00105 00207
Building Mix 02440 00812 02764 00031
Note R2 = 3218
Log(Property Insurance rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 01239 00627 01319 00503
Fitness Center -00035 01025 -00035 09726
Pool 00227 01040 00230 08273
Outdoor Common Area 00156 01207 00157 08974
Walk Score 00073 00030 00073 00175
of Unfurnished Apartments -00010 00004 -00010 00180
Average Apt Unit Size -00006 00004 -00006 00739
Age 00010 00040 00010 08091
Building Mix -00520 00749 -00507 04887
Note R2 = 3902
Log(Total All Expenses Rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 01232 00565 01311 00311
Fitness Center 00096 00919 00097 09168
Pool 01610 00847 01747 00607
Outdoor Common Area -00362 01072 -00355 07361
Walk Score 00087 00026 00088 00012
of Unfurnished Apartments -00009 00004 -00009 00216
Average Apt Unit Size -00002 00003 -00002 06220
Age 00016 00036 00016 06614
Building Mix 00158 00658 00159 08106
Note R2 = 2943
Log(NOI Rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00932 00702 00977 01863
Fitness Center 01113 01144 01177 03325
Pool -00609 01107 -00591 05838
Outdoor Common Area -01393 01341 -01300 03006
Walk Score 00045 00033 00045 01797
of Unfurnished Apartments -00007 00005 -00007 01306
Average Apt Unit Size -00002 00004 -00002 06220
Age 00035 00045 00035 04386
Building Mix 00489 00829 00501 05562
Note R2 = 3669
Concessions rentable sf
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 01111 01815 01175 05416
Fitness Center -05094 02955 -03991 00871
Pool -00886 02792 -00848 07519
Outdoor Common Area 04576 03456 05803 01876
Walk Score 00121 00086 00121 01609
of Unfurnished Apartments -00007 00012 -00007 05606
Average Apt Unit Size -00003 00010 -00003 07532
Age 00130 00115 00131 02598
Building Mix -03720 02130 -03106 00828
Note R2 = 2402
Y Term ~Bias Estimate EXP estimate Practical Interpretation increasedecrease Std Error DFDen t Ratio Probgt|t| Estimate Std Error Practical Interpretation Significance
Log(Vacancies amp Rent Loss rentable sf) Intercept 00893029328 10934118365 934 06116337119 1083785495375 01460072116 08841869197 Green Cert
Log(Vacancies amp Rent Loss rentable sf) Green Certified (1=yes 0=no)[Yes] -0031825668 09686754385 -313 009164153 139931853592 -03472843369 07288994904 Gym
Log(Vacancies amp Rent Loss rentable sf) Gym (1=yes 0=no)[Yes] 01007730854 11060256399 1060 01479591517 1412043780621 0681087207 0496931725
Log(Vacancies amp Rent Loss rentable sf) Pool (1=yes 0=no)[Yes] 01125884395 11191712315 1192 0113345701 506840641957 09933190097 032527325
Log(Vacancies amp Rent Loss rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 02672618233 13063824429 3064 01690835398 1429144230275 15806495624 01161688791
Log(Vacancies amp Rent Loss rentable sf) Walk Score 00101642302 10102160615 102 00040763935 1219632686439 24934369735 00139912712
Log(Vacancies amp Rent Loss rentable sf) of Unfurnished Apartments -0000250981 09997490505 -003 00006011213 142449410245 -04175214322 06769256723
Log(Vacancies amp Rent Loss rentable sf) Average Apt Unit Size -00002575258 09997425074 -003 00004990119 1315989429881 -05160713681 06066705884
Log(Vacancies amp Rent Loss rentable sf) Age -00026152008 09973882158 -026 00056263988 1391583522195 -04648090107 06427946925
Log(Vacancies amp Rent Loss rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00099001013 10099492694 099 0100821633 1384002310718 00981942166 09219201454
Log(Total Rents Collected rentable sf) Intercept 30195696974 204824761253 194825 04164909532 1420770663705 72500246992 0
Log(Total Rents Collected rentable sf) Green Certified (1=yes 0=no)[Yes] 00996165255 11047471944 1047
Hopkins Erin Hopkins Erincant provide a confidencd interval for it
00590542761 1286416575023 16868638818 0094053065 0099617 00590542761 1047
Log(Total Rents Collected rentable sf) Gym (1=yes 0=no)[Yes] 00684081888 10708023088 708 0096210834 1330244953516 07110237581 04783143732
Log(Total Rents Collected rentable sf) Pool (1=yes 0=no)[Yes] 00088712036 10089106694 089 00916333982 708572236354 00968119025 09231490817
Log(Total Rents Collected rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00836597449 09197441505 -803 01126005752 1404546011941 -07429779537 04587359136
Log(Total Rents Collected rentable sf) Walk Score 0006479206 10065002414 065 0002794287 1413201347208 23187331419 00218436949
Log(Total Rents Collected rentable sf) of Unfurnished Apartments -00008678845 0999132492 -009 00003932429 1359586026848 -22069932213 00289920945 variance components to talk about how much of the total error that is attribuatle to city
Log(Total Rents Collected rentable sf) Average Apt Unit Size -00002078918 09997921298 -002 00003300088 1382568544162 -06299582685 05297616269
Log(Total Rents Collected rentable sf) Age 00008364704 10008368204 008 00037477419 1387794745176 02231931757 08237133506
Log(Total Rents Collected rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00042999624 10043092206 043 0069466499 142786243042 00618998008 09507291881
Log(Total Actual Collections rentable sf) Intercept 30681072891 215011686418 205012 04070110501 1415072794017 75381424868 0
Log(Total Actual Collections rentable sf) Green Certified (1=yes 0=no)[Yes] 00944491888 10990533175 991 00578900924 1291837028308 16315259643 01052148631
Log(Total Actual Collections rentable sf) Gym (1=yes 0=no)[Yes] 00739127176 10767128233 767 0094247393 1335821297113 07842415071 04342868782
Log(Total Actual Collections rentable sf) Pool (1=yes 0=no)[Yes] 00130418887 10131273051 131 00885804441 654593026021 01472321442 08834013324
Log(Total Actual Collections rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00794248992 0923647384 -764 01101507414 1410305976559 -07210564195 04720684016
Log(Total Actual Collections rentable sf) Walk Score 00065530115 10065745295 066 00027272037 14047408887 24028316857 00175745575
Log(Total Actual Collections rentable sf) of Unfurnished Apartments -0000833078 09991672689 -008 00003850262 1365168778586 -21636916411 00322285543
Log(Total Actual Collections rentable sf) Average Apt Unit Size -00002169447 09997830788 -002 00003233576 1393662972101 -06709126047 05033865944
Log(Total Actual Collections rentable sf) Age 00015178151 10015189676 015 0003670824 1398532082324 04134807595 06798877496
Log(Total Actual Collections rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00249154485 10252284322 252 0067842812 1423468871242 03672525904 07139760316
Log(Management Fee rentable sf) Intercept -02128803278 08082528568 -1917 04254329778 585619088893 -0500385111 06186792644
Log(Management Fee rentable sf) Green Certified (1=yes 0=no)[Yes] 0019865513 10200641454 201 00593086525 1354977267554 03349513461 07381797603
Log(Management Fee rentable sf) Gym (1=yes 0=no)[Yes] -00082052627 09918283086 -082 00958032958 1386068833723 -00856469772 09318706455
Log(Management Fee rentable sf) Pool (1=yes 0=no)[Yes] 00174275629 10175803089 176 00771880661 202180965349 02257805358 08236388274
Log(Management Fee rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00153191452 10154370848 154 01103651216 1423896402644 01388042255 08898009734
Log(Management Fee rentable sf) Walk Score 00070459229 10070708039 071 00028008303 805559990921 25156550566 0013868745
Log(Management Fee rentable sf) of Unfurnished Apartments -0001358177 09986427449 -014 00003916726 1421224837061 -34676335479 00006950146
Log(Management Fee rentable sf) Average Apt Unit Size -00005130214 09994871101 -005 00003375961 1007585612206 -15196307445 0131735624
Log(Management Fee rentable sf) Age 00013613923 10013623194 014 00037151697 1277713043957 03664414822 07146417588
Log(Management Fee rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -00674463479 09347778721 -652 00657081953 1299283630266 -10264525997 03065854809
Log(Total Utilities Rentable sf) Intercept -03748562337 06873880949 -3126 04464274077 1402143832266 -08396801522 04025171642
Log(Total Utilities Rentable sf) Green Certified (1=yes 0=no)[Yes] 00873163337 10912418217 912 0064576715 1358457024729 13521334071 01785794114
Log(Total Utilities Rentable sf) Gym (1=yes 0=no)[Yes] 01175979311 11247917766 1248 01048349264 1384172144229 11217438221 02639135776
Log(Total Utilities Rentable sf) Pool (1=yes 0=no)[Yes] 00115680134 10116351816 116 00928512423 72633370166 01245865221 09011950626
Log(Total Utilities Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00222539972 10225034645 225 01216524447 1425571484619 01829309493 0855112103
Log(Total Utilities Rentable sf) Walk Score 00068649233 10068885409 069 00029812807 1396033046894 23026759291 00227754146
Log(Total Utilities Rentable sf) of Unfurnished Apartments -00006773222 09993229071 -007 00004273761 1401067188346 -15848386198 01152575495
Log(Total Utilities Rentable sf) Average Apt Unit Size -00003442022 0999655857 -003 00003581401 1425120147852 -09610825805 03381384619
Log(Total Utilities Rentable sf) Age 00048795122 10048914364 049 00040600929 1425855030198 12018227897 02314244716
Log(Total Utilities Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -01198355423 08870663096 -1129 00742421382 1413320388001 -16141176043 01087323819
Log(MampR rentable sf) Intercept -09030689887 04053238148 -5947 0437858541 1384008312652 -20624674504 00410332652
Log(MampR rentable sf) Green Certified (1=yes 0=no)[Yes] 00937424436 10982768413 983 00639155521 1376081716673 14666609392 01447499128
Log(MampR rentable sf) Gym (1=yes 0=no)[Yes] 00037664885 10037735907 038 01036113865 1396450691334 00363520715 09710535435
Log(MampR rentable sf) Pool (1=yes 0=no)[Yes] 01319613595 11410642271 1411 00887446725 719561267791 14869778183 0141389644
Log(MampR rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00521515872 09491849716 -508 01197720975 1428478988157 -04354235112 06639122497
Log(MampR rentable sf) Walk Score 00110131704 10110740386 111 00029197236 1385662208531 37719907631 00002391344
Log(MampR rentable sf) of Unfurnished Apartments -00008849955 09991153959 -009 00004219429 1410140957414 -20974297602 0037740228
Log(MampR rentable sf) Average Apt Unit Size 00000594506 10000594524 001 0000353075 1429981472006 01683796031 08665225748
Log(MampR rentable sf) Age 0007624822 1007653965 077 00039990018 142990029884 19066812998 00585678315
Log(MampR rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00598131349 10616381449 616 00727173027 1406732379184 08225433659 04121598071
Log(Subtotal Maintenance rentable sf) Intercept -07997344997 04494482769 -5506 0489167182 1380935604874 -16348899298 01043496414
Log(Subtotal Maintenance rentable sf) Green Certified (1=yes 0=no)[Yes] 01180969773 11253532398 1254 00707986514 1348907221481 16680681771 00976219515
Log(Subtotal Maintenance rentable sf) Gym (1=yes 0=no)[Yes] 00409351965 10417845921 418 01148796072 1378640116803 03563312718 07221372278
Log(Subtotal Maintenance rentable sf) Pool (1=yes 0=no)[Yes] 01515780559 11636691295 1637 0100780712 617547240206 15040383505 01376688864
Log(Subtotal Maintenance rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -0078076377 09248937833 -751 01331885868 1426567369893 -05862092154 05586613077
Log(Subtotal Maintenance rentable sf) Walk Score 0011889233 10119601909 120 00032614069 1377504918879 36454307183 00003773801
Log(Subtotal Maintenance rentable sf) of Unfurnished Apartments -00008153416 09991849907 -008 00004682078 1398534995511 -17414095506 00838107083
Log(Subtotal Maintenance rentable sf) Average Apt Unit Size 00005083484 10005084776 005 00003930253 1428434249161 12934242295 01979520949
Log(Subtotal Maintenance rentable sf) Age 00104106727 10104650523 105 00044515054 1428449267664 23386858733 00207383998
Log(Subtotal Maintenance rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 02440298206 12763823925 2764 0081177414 1402563601749 30061295196 00031359748
Log(Property Insurance rentable sf) Intercept -08916874806 04099633635 -5900 04516384713 1429624291993 -19743390727 00502702101
Log(Property Insurance rentable sf) Green Certified (1=yes 0=no)[Yes] 01239058141 11319092561 1319 0062692592 1281678143933 19764027959 00502564371
Log(Property Insurance rentable sf) Gym (1=yes 0=no)[Yes] -0003522638 09964835593 -035 01024969537 1314939748594 -0034368221 09726356404
Log(Property Insurance rentable sf) Pool (1=yes 0=no)[Yes] 00227423743 10230029538 230 01040308572 1125700947624 02186118131 08273482928
Log(Property Insurance rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00155809876 10157030041 157 01206677853 1368483458399 01291230096 08974498986
Log(Property Insurance rentable sf) Walk Score 00072977866 10073244804 073 00030353828 1428602075435 24042392705 00174877086
Log(Property Insurance rentable sf) of Unfurnished Apartments -00010061941 09989943119 -010 0000420017 1337858380697 -23956034086 00179774093
Log(Property Insurance rentable sf) Average Apt Unit Size -00006330482 09993671521 -006 00003514502 1338864329416 -18012458048 0073914725
Log(Property Insurance rentable sf) Age 00009661099 10009665767 010 00039921418 1338497494964 02420028921 08091483095
Log(Property Insurance rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -00520208103 09493091112 -507 00749301111 1411273861679 -06942577501 04886618561
Log(Total All Expenses Rentable sf) Intercept 17410862845 57035357214 47035 03946731547 141889623796 44114636723 00000201648
Log(Total All Expenses Rentable sf) Green Certified (1=yes 0=no)[Yes] 01231722438 11310792255 1311 00565275641 1341244163534 21789766772 00310802733
Log(Total All Expenses Rentable sf) Gym (1=yes 0=no)[Yes] 00096244971 10096709615 097 00919378962 1370603130567 01046847658 09167789899
Log(Total All Expenses Rentable sf) Pool (1=yes 0=no)[Yes] 01610294116 11747195186 1747 00846545666 801516751987 19021940341 00607378863
Log(Total All Expenses Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00361842114 09644626121 -355 01071504659 1418739239709 -03376953252 07360919324
Log(Total All Expenses Rentable sf) Walk Score 00087371658 10087754463 088 00026426023 1411809488418 33062734678 00011989895
Log(Total All Expenses Rentable sf) of Unfurnished Apartments -00008720665 09991283137 -009 00003752966 1389800988186 -23236728617 00215934791
Log(Total All Expenses Rentable sf) Average Apt Unit Size -0000155413 0999844599 -002 00003145108 1409449329598 -0494142052 06219751067
Log(Total All Expenses Rentable sf) Age 00015666155 10015678433 016 00035695206 1412387206124 04388868073 06614142124
Log(Total All Expenses Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00157918953 10159172462 159 00657593447 1424551160559 02401467861 08105616925
Log(NOI Rentable sf) Intercept 27416093787 155119295878 145119 049686036 1426328429735 55178669889 0000000157
Log(NOI Rentable sf) Green Certified (1=yes 0=no)[Yes] 00932241108 10977077159 977 00701671113 1292740226257 13286012361 01863200879
Log(NOI Rentable sf) Gym (1=yes 0=no)[Yes] 0111280688 11177085902 1177 0114413579 13320261997 09726178396 03325061802
Log(NOI Rentable sf) Pool (1=yes 0=no)[Yes] -00608871507 0940929417 -591 01107002034 838263437204 -05500184174 05837693269
Log(NOI Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -01393113526 08699571229 -1300 01340931949 1397855428856 -10389144106 03006382455
Log(NOI Rentable sf) Walk Score 00045000262 10045101666 045 0003337636 1423581725818 13482675372 01797136327
Log(NOI Rentable sf) of Unfurnished Apartments -00007116645 09992885887 -007 00004679272 1358400867851 -15208872073 01306124688
Log(NOI Rentable sf) Average Apt Unit Size -00001937801 09998062387 -002 00003921685 1372175013367 -04941245389 06220083144
Log(NOI Rentable sf) Age 00034607088 1003466704 035 00044548378 1376438770548 07768428318 04385844885
Log(NOI Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00488697769 10500835966 501 00828565286 1429949688826 05898120243 0556247504
Concessions rentable sf Intercept 0091580439 10959049266 959 12772069558 1418541020247 00717036801 09429387231
Concessions rentable sf Green Certified (1=yes 0=no)[Yes] 01110697527 11174728508 1175 01814813765 1293641668833 06120173584 05416004511
Concessions rentable sf Gym (1=yes 0=no)[Yes] -05094051331 06008529 -3991 02955403985 1336296409402 -17236395961 00870857294
Concessions rentable sf Pool (1=yes 0=no)[Yes] -00886152984 09151975838 -848 02791864929 69298361986 -03174053928 07518903943
Concessions rentable sf Outdoor Common Area (1=yes 0=no)[Yes] 04576291372 15803228114 5803 03455726285 1408379747117 13242632646 01875606951
Concessions rentable sf Walk Score 00120688741 10121419968 121 00085630896 1409791646097 14094064916 01609170757
Concessions rentable sf of Unfurnished Apartments -00007045588 09992956894 -007 00012075862 1364744404696 -05834438741 05605574922
Concessions rentable sf Average Apt Unit Size -00003193903 09996806607 -003 00010135961 1389703034326 -03151061148 07531537379
Concessions rentable sf Age 00130223218 10131074815 131 00115086772 139464867267 11315220311 02597773256
Concessions rentable sf Building Mix (0=multifamily 1 = mixed-use)[Mixed] -03719888249 06893619462 -3106 02129597676 1426034459287 -17467563435 00828326573
Page 10: AUGUST 21- 23, 2018 • CLEVELAND, OHIO€¦ · Business Case 2.0: New Research Around High Performing Buildings Thursday 23 rd, 2018 10:30am – 12:00pm

Default risk and source EUI

Coefficient Estimate Standard Error

Intercept -040444 018466Log Source EUI 007335 003129

Origination Loan-to-Value Ratio 000258 000096

Coupon Spread to 10 Year Treasury 002188 001565

Electricity Price Gap 000003 000001

Time to Maturity on Balloon -000189 000060

Origination Year Fixed Effects Yes

473 observations R2 = 1052 plt01 plt005 plt001

Office + Retail ndash Linear probability model

10

Default risk and source EUI (cont)

Coefficient estimates are significant and robust for three cohorts all buildings Office + multiuse + retail office only Coefficient estimates for electricity price gap significant for all buildings

office + multiuse + retail Consistent results for linear probability and logistic regression models

11

Analysis using Scaled Source EUI ndash Linear probability model

Ratio of Source EUI to NOI(floor area)

Default risk and source EUI (cont)

Coefficient Estimate Standard Error

Intercept -000538 011067Scaled Source EUI 000183 0000369

Origination Loan-to-Value Ratio 000263 000117

Coupon Spread to 10 Year Treasury 000751 0040

Electricity Price Gap 000003 000001

Time to Maturity on Balloon -000203 000068

Origination Year Fixed Effects Yes

339 observations R2 = 1768 plt01 plt005 plt001

Scaled Source EUI (Office + MU + Retail) ndash Linear probability model

12

What are the impacts on specific loansCollaborate with lenders to 1 Demonstrate impact of energy use and price on specific mortgage loans2 Develop recommendations

Approach Compile info from Appraisals PCAs

other sources Estimate source EUI variations

Simulation and empirical approaches

Compute electricity price gap using forward curves

Compute default risk impact due to source EUI and electricity price gap

13

Case Studies

Denver Office

Denver Hotel

San Francisco Multi-family

San Jose Office Sonoma Office

Denver Office ndash energy use and default riskFacilities Management factors HVAC schedule Thermostat setback Supply air temp control VAV min flow control Economizer controls Lighting controlsLevels good average poor

Occupancy factors Occupant density Occupant schedule Plug load density Plug load controlsLevels goodlow average poorhigh

CaseFacilities mgmtfactors

OccupancyFactors

Source EUI change ()

Default risk change (bp)

1 Good GoodLow -54 -248

2 Good Ave -33 -127

3 Ave Ave - -

4 Good PoorHigh +4 +12

5 Poor GoodLow +64 +158

6 Poor Ave +76 +181

7 Poor PoorHigh +132 +268

15

Denver Office ndash energy price and default risk

16

Case Studies ndash summary of risks impacts

Building Source EUI variation ()

Default rate variation (bp)

Default rate variation relative to TREPP avg ()

Denver Office -54 to +132 -248 to +268 -31 to +34

Sonoma Office -40 to +183 -161 to +331 -20 to +41

San Jose Office -62 to +119 -308 to +249 -39 to +31

Denver Hotel -11 to +17 -37 to +49 -5 to +6

San Francisco Multi-family -20 to +26 -72 to +74 -9 to +9

Wholesale price region Default rate variation (bp) Default rate variation relative to TREPP avg ()

Denver area +159 to +501 +20 to +63

Northern California -49 to +705 -6 to +88

Compare to TREPP average default rate of 800bp

17

Case Studies ndash business impactThese results showing the impact of energy on default risk are clearly meaningful I dont currently consider energy efficiency when making a loan and seeing this makes me think I would want to ask about itrdquo

I would like to apply these findings but would want an easy way to use it A simple score or ratio for energy risk would be good In fact I would be interested to pilot test it

Keith Hanley Silicon Valley Bank

18

Looking Ahead

Looking Ahead ndash our visionTo have energy factors fully and routinely incorporated in commercial mortgage valuation accelerating demand for buildings with lower energy risk

20

Show that energy matters

Develop and pilot

interventions Disseminate

best practices Institutionalize

Analysis of energy impacts

Long term

Case studies on actual mortgage loans

Protocols and tools for lenders and owners

Industry Standards

Scope of current effort

RecommendationsLenders Ask owners to provide info on energy cost range

Account for variations in energy use and energy price Could be done as part of Property Condition Assessment Can reference ASTM standard

Incorporate energy risk factor into underwriting and terms eg Interest rate discount for lower risk

Offer additional loan proceeds for EE investments

Owners Ask lenders to account for energy efficiency when setting mortgage

terms Provide data on energy costs to lender

Historical and anticipated In appraisal andor PCA

21

Thank you

Money Matters Exploring the Financial Impacts of Green Certifications in the Multifamily Rental Sector

Erin A Hopkins PhD CAPS LEED Green AssociateAssistant Professor of Property Management

bull Sample 153 properties from 2 of National Multifamily Housing Councilrsquos 2016 50 Largest Apartment Managers

bull Green-certified 2288 of properties (35 properties)bull Methodology Multiple Regression Analysisbull Controls Location Fitness Center Pool Outdoor Common Area Walk

Score of Unfurnished Apartments Average Apartment Unit Size Age Building Mix

bull Limitations Building class not directly taken into account

Overview of Research

Certifications Represented in Sample

Austin Energy Green Buildingreg (AEGB)

Rating System(3)

ENERGY STARreg

(1)

Florida Green Building Coalition

(FGBC)(1)

GreenPoint Rated(4)

LEEDreg

(16)

National Green Building Standardtrade

(NGBS)(11)

Properties by City

2

4

2 2 21 1

3

1 1 12 2

1 1 1

6

1 1

8

11

4

6

14

3

1

19

3

1 1

7

43

2

9

18

2 2

0

2

4

6

8

10

12

14

16

18

20

Summary Statistics of City Datan=153

Summary Satistics of City Data Green Bldgs Summary Satistics of City Data Non-Green Comparables

Descriptive

97

71

100

31

89

69

93

24

0

20

40

60

80

100

120

Fitness Center Pool Outdoor Common Area Mixed-Use Property

Summary Statistics of Green vs Non-Green Propertiesn = 153

Green Non-Green

Descriptive

73228

866

2011

74

259

894

2003

0

500

1000

1500

2000

2500

Walk Score Average Number of Units Average Apt Unit Size (sf) Age

Summary Statistics of Green vs Non-Green Properties

n = 153

Green Non-Green

Findings

Total Rents Collected1047

Total Maintenance1254

Property Insurance1319

Total Expenses1311

Higher rents and expenses

Financial Impacts of Green

Dependent Variable Per Square Foot Per Apartment Per PropertyTotal Rents Collected 247$ 2189$ 551683$ Subtotal Maintenance 020$ 178$ 44843$ Property Insurance 005$ 42$ 10601$ Total Expenses 112$ 990$ 249535$

Coefficients Standard Errors

Tables

Summary of Green Impacts

Summary Table

Discussion

bull Assume efficient operations will offset the higher rent

bull Philanthropic motivesbull Prestige motivesbull Green buildings tend to be newermore

likely to offer the more sought-after amenities and finishes

bull Tend to be in higher-income areaslikely have higher rents

Different motivations for paying higher rent may be in

play

Discussion

Higher Operating Expenses a Surprise

Does not align with much of the existing researchhellipbut no research on effects of green certification on total operating expenses within multifamily rental sector

Many of the certifications represented in this study focus on the design phase of the property vs the operations and maintenance phase

And although promotion of sustainability is on the rise in the multifamily housing sector staff may remain unfamiliar with the unique operations and maintenance of green

buildings

Final Thoughts

Apartment homes represent $13 trillion to the US economy and 5 million new rental households are expected by 2023 (National Multifamily Housing Council 2015)

Upfront capital constraints regulatory issues knowledge limitations and marketing concerns may diminish the attractiveness of multifamily rental green building

certification if not properly managed

Most studies focus on office sector andor strictly rents or property value

This study begins to look at the multifamily rental sector and offer a more comprehensive analysis

Further research is needed with larger datasets to understand effects of green certification on income statement components in the apartment industry as NOI

ultimately determines property market valueOptimism that this study can be the impetus for further research contributions on the

financial environmental and resident satisfaction impacts of green practices and certifications on the multifamily rental sector

Contact informationErin A Hopkinserinz1vtedu

Acknowledgementsbull Todd Feist Sustainability Program Manager at The Institute of

Real Estate Management (IREMreg) for his assistance with this research project

bull Yardi and IREMreg for the grant awarded to support this researchbull The two property management companies for sharing their data

BUILDING PERFORMANCE

UNLOCKINGVALUE

New DOE-driven Research Around High Performing Buildings

AUGUST 23 2018

ANDREW WHITEASSOCIATE MANAGERawhiteretechadvisorscom

2015-2016 bull Research design working group pilot study data lab

2017 bull Connect to Real Estate Research Institute (RERI) Literature review and gap analysis

2018 bull Research agenda request for proposals research project selection and execution

Context Setting ndash DOE Research EffortWhat are the impacts of energy efficiency and high-performance building

features on financial performance of commercial real estate

RERIrsquos mission is to encourage and reward research on real estate as an investment and as an asset class that is both academically rigorous and of value to the institutional real estate investment profession In addition RERI serves to provide a forum through which the real estate academic professional and regulatory communities can interact facilitating the exchange of insights amongst these stakeholders

RERI Overview

Sponsors

Build upon DOErsquos Review of Studies in the Market

bull Focus explicitly on peer-reviewed papers Gap analysis of existing research to

identifybull Questions that have already been

sufficiently provenbull Holes in existing body of research

Academic Inputbull Guidance on which studies to includebull Suggestions for how to conduct analysis

Literature Review Objectives

Literature Review Results

LEED

ENER

GY

ST

AR

labe

l

ENER

GY

ST

AR

sc

ore

Ener

gy u

se

BR

EEA

M

Ener

gy

Perf

orm

anc

e Cer

tific

ates

(U

K)

BO

MA

B

EST

Wal

kabi

lity

Non

-ene

rgy

gree

n fe

atur

es

Oth

er

Rent 20 18 1 2 2 2 1 1 1Rent concessions 1 1 1Sales price 9 11 1 1 1 1Assessed value 2 2Market value 1 2 1 2 1Occupancy 10 9 1Lease renewals 1 1 1Service charge 1Operating cost 2 3Energy cost 2 3Tenant satisfaction 1 1 1Sales time 1 1Default rate 2 1Capitalization rate 1 2 2 1Net operating income 1 1 1Loan to value ratio 1 1Debt service coverage ratio 1 1Worker productivity 1 1Other 5 4 1 4 2 2

There is considerable evidence that green building certifications correlate with increased economic value primarily via higher rents and sales prices

bull How do we move beyond certification to analyze performancebull Correlation vs Causation

bull What is driving added value Is it green features and efficiency the green labels themselves or other desirable features often included in certified buildings

Panel studies could help reduce some of the uncertainty and noise Full results presented at ACEEE Summer Study

bull Raising the Rent Premium Moving Green Building Research Beyond Certifications and Rent

bull Cindy Zhu Andrew White Paul Mathew Jeff Deason Philip Coleman

Literature Review Results

Research Agenda Core QuestionldquoHow does ltenergygreen metricgt affect ltfinancial value metricgtrdquo

EnergyGreen Metric

Site energy use or EUI

Source energy use or EUI

Energy cost or costsf

ENERGY STAR score

ENERGY STAR label

Green Building Certification (LEED BOMA 360)

Green Building Certification level (eg LEED Silver Gold)

Financial Value Metric

VacancyOccupancy Sales Price

Leasing Velocity (absorption speed of sales leasing)

Regulatory amp Compliance Risk

Tenant Renewals Insurance (rates ability)

Tenant Satisfaction Default Risk

Rental Income and Rent Concessions Debt Service Coverage Ratio

Marketing Costs Access to Funding

Utility Costs Maintenance OpEx Interest Rates

Obsolescence Reserves

Capitalization Rates

12 proposals received 5 projects selected Criteria

bull Department of Energy goals

bull Impact on Commercial Real Estate (CRE) Industry

bull Feasibility and Interest

bull Quality and Validity

Proposal Reviews

Jim Clayton Avis Devine (York University) and Rogier Holtermans(University of Guelph) Analyzing four types of energy

efficiency interventions on financial components that impact property-level NOI

bull How do interventions impact different aspects of building operations and their subsequent financial impact

Beyond Environmental Building Certification The Impact of Environmental Interventions on Commercial Real Estate Operations

Piet Eichholtz and Nils Kok (Maastricht University) and RogierHoltermans (University of Guelph) Three key questions

bull How is environmental building certification related to commercial building energy consumption

bull How does aging affect the energy consumption of the commercial building stock

bull To what extent do specific energy efficiency investments affect energy consumption in commercial real estate

The Dynamics of Energy Consumption in Commercial Real Estate

Sofia Dermisi Chris Lee and YoungjinChoe (University of Washington) Exploring the effect of disclosure

policies on office building marketability while assessing potential links between market performance of sustainable assets

bull Before and after the disclosure policies while considering market cycles

bull Before and after ENERGY STAR andor LEED certification

Markets included San Francisco Washington DC

Effect of Energy Benchmarking and Disclosure on Office Building Marketability

Dirk Brounen (Tilburg University) and Gianluca Marcato (Reading University) Analyzing the adoption of GRESB within the public real estate markets and

predicting a potential impact of GRESB scores on REIT returns

Sustainable Insights and Public Real Estate Performance GRESB Effects in REIT Markets

Constantine Kontokosta (New York University) Franz Fuerst(Cambridge University) Gary Pivo (University of Arizona) amp Jacob Sagi (UNC Chapel Hill) Utilizing NYC data to empirically model

bull the spread between the premium for labeled (energy efficient) buildings and the cost to retrofit an under-performing building to meet the same standard which will allow us to understand how much of the observed premium is attributable to energy efficiency and how much can be assigned to other perceived benefits (marketing construction quality etc)

bull the hurdle rate for energy retrofit investments using actual audit data and permitted renovation work

Estimating Office and Residential Building Energy Retrofit Hurdle Rates and Risk Arbitrage in Energy Efficiency Investments

Collecting data for continued Data Lab analysis Presenting Research findings

bull Interim research results ndash IPC Research Symposium (October)bull Greenbuild Session (November)bull RERI Research Conference (April)bull Final research results ndash Better Buildings Webinars Summit 2019 (TBA)

Work with DOE case study and data analysis opportunities abound

Next Steps

Paul Mathew

Lawrence Berkeley National Laboratorypamathewlblgov

Paulo Issler

University of California Berkeleypauloisslerberkeleyedu

Erin Hopkins

Virginia Techerinz1vtedu

Andrew White

RE Tech Advisorsawhiteretechadvisorscom

Contact Info

  • Slide Number 1
  • Business Case 20 New Research Around High Performing Buildings
  • Panelists
  • Energy and Default Risk in Commercial Mortgages
  • Paulo Issler
  • Acknowledgements
  • The link between energy and CRE mortgages
  • Approach Impact of energy on default rate
  • Default risk and source EUI (cont)
  • Default risk and source EUI
  • Default risk and source EUI (cont)
  • Default risk and source EUI (cont)
  • What are the impacts on specific loans
  • Case Studies
  • Denver Office ndash energy use and default risk
  • Denver Office ndash energy price and default risk
  • Case Studies ndash summary of risks impacts
  • Case Studies ndash business impact
  • Looking Ahead
  • Looking Ahead ndash our vision
  • Recommendations
  • Slide Number 22
  • Money Matters Exploring the Financial Impacts of Green Certifications in the Multifamily Rental SectorErin A Hopkins PhD CAPS LEED Green AssociateAssistant Professor of Property Management
  • Overview of Research
  • Certifications Represented in Sample
  • Properties by City
  • Descriptive
  • Descriptive
  • Findings
  • Financial Impacts of Green
  • Discussion
  • Discussion
  • Final Thoughts
  • Slide Number 34
  • Slide Number 35
  • Context Setting ndash DOE Research Effort
  • RERI Overview
  • Literature Review Objectives
  • Literature Review Results
  • Literature Review Results
  • Research Agenda Core Question
  • Proposal Reviews
  • Beyond Environmental Building Certification The Impact of Environmental Interventions on Commercial Real Estate Operations
  • The Dynamics of Energy Consumption in Commercial Real Estate
  • Effect of Energy Benchmarking and Disclosure on Office Building Marketability
  • Sustainable Insights and Public Real Estate Performance GRESB Effects in REIT Markets
  • Estimating Office and Residential Building Energy Retrofit Hurdle Rates and Risk Arbitrage in Energy Efficiency Investments
  • Next Steps
  • Contact Info
Y Term ~Bias Estimate EXP estimate Practical Interpretation increasedecrease Std Error DFDen t Ratio Probgt|t| Log(Vacancies amp Rent Loss rentable sf) Log(Total Rents Collected rentable sf) Log(Total Actual Collections rentable sf) Log(Management Fee rentable sf) Log(Total Utilities Rentable sf) Log(MampR rentable sf) Log(Subtotal Maintenance rentable sf) Log(Property Insurance rentable sf) Log(Total All Expenses Rentable sf) Log(NOI Rentable sf) Concessions rentable sf
Log(Vacancies amp Rent Loss rentable sf) Intercept 00893029328 10934118365 934 06116337119 1083785495375 01460072116 08841869197 Green Certified (1=yes 0=no)[Yes] -00318 01047 00991
Log(Vacancies amp Rent Loss rentable sf) Green Certified (1=yes 0=no)[Yes] -0031825668 09686754385 -313 009164153 139931853592 -03472843369 07288994904 Gym (1=yes 0=no)[Yes] 01060 00708 00767
Log(Vacancies amp Rent Loss rentable sf) Gym (1=yes 0=no)[Yes] 01007730854 11060256399 1060 01479591517 1412043780621 0681087207 0496931725 Pool (1=yes 0=no)[Yes] 01126 00089 00131
Log(Vacancies amp Rent Loss rentable sf) Pool (1=yes 0=no)[Yes] 01125884395 11191712315 1192 0113345701 506840641957 09933190097 032527325 Outdoor Common Area (1=yes 0=no)[Yes] 02673 -00803 -00764
Log(Vacancies amp Rent Loss rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 02672618233 13063824429 3064 01690835398 1429144230275 15806495624 01161688791 Walk Score 00102 00065 00066
Log(Vacancies amp Rent Loss rentable sf) Walk Score 00101642302 10102160615 102 00040763935 1219632686439 24934369735 00139912712 of Unfurnished Apartments -00003 -00009 -00008
Log(Vacancies amp Rent Loss rentable sf) of Unfurnished Apartments -0000250981 09997490505 -003 00006011213 142449410245 -04175214322 06769256723 Average Apt Unit Size -00003 -00002 -00002
Log(Vacancies amp Rent Loss rentable sf) Average Apt Unit Size -00002575258 09997425074 -003 00004990119 1315989429881 -05160713681 06066705884 Age -00026 00008 00015
Log(Vacancies amp Rent Loss rentable sf) Age -00026152008 09973882158 -026 00056263988 1391583522195 -04648090107 06427946925 Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00099 00043 00252
Log(Vacancies amp Rent Loss rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00099001013 10099492694 099 0100821633 1384002310718 00981942166 09219201454
Log(Total Rents Collected rentable sf) Intercept 30195696974 204824761253 194825 04164909532 1420770663705 72500246992 0
Log(Total Rents Collected rentable sf) Green Certified (1=yes 0=no)[Yes] 00996165255 11047471944 1047
Hopkins Erin Hopkins Erincant provide a confidencd interval for it
00590542761 1286416575023 16868638818 0094053065
Log(Total Rents Collected rentable sf) Gym (1=yes 0=no)[Yes] 00684081888 10708023088 708 0096210834 1330244953516 07110237581 04783143732
Log(Total Rents Collected rentable sf) Pool (1=yes 0=no)[Yes] 00088712036 10089106694 089 00916333982 708572236354 00968119025 09231490817
Log(Total Rents Collected rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00836597449 09197441505 -803 01126005752 1404546011941 -07429779537 04587359136
Log(Total Rents Collected rentable sf) Walk Score 0006479206 10065002414 065 0002794287 1413201347208 23187331419 00218436949
Log(Total Rents Collected rentable sf) of Unfurnished Apartments -00008678845 0999132492 -009 00003932429 1359586026848 -22069932213 00289920945
Log(Total Rents Collected rentable sf) Average Apt Unit Size -00002078918 09997921298 -002 00003300088 1382568544162 -06299582685 05297616269
Log(Total Rents Collected rentable sf) Age 00008364704 10008368204 008 00037477419 1387794745176 02231931757 08237133506
Log(Total Rents Collected rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00042999624 10043092206 043 0069466499 142786243042 00618998008 09507291881
Log(Total Actual Collections rentable sf) Intercept 30681072891 215011686418 205012 04070110501 1415072794017 75381424868 0
Log(Total Actual Collections rentable sf) Green Certified (1=yes 0=no)[Yes] 00944491888 10990533175 991 00578900924 1291837028308 16315259643 01052148631
Log(Total Actual Collections rentable sf) Gym (1=yes 0=no)[Yes] 00739127176 10767128233 767 0094247393 1335821297113 07842415071 04342868782
Log(Total Actual Collections rentable sf) Pool (1=yes 0=no)[Yes] 00130418887 10131273051 131 00885804441 654593026021 01472321442 08834013324
Log(Total Actual Collections rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00794248992 0923647384 -764 01101507414 1410305976559 -07210564195 04720684016
Log(Total Actual Collections rentable sf) Walk Score 00065530115 10065745295 066 00027272037 14047408887 24028316857 00175745575
Log(Total Actual Collections rentable sf) of Unfurnished Apartments -0000833078 09991672689 -008 00003850262 1365168778586 -21636916411 00322285543
Log(Total Actual Collections rentable sf) Average Apt Unit Size -00002169447 09997830788 -002 00003233576 1393662972101 -06709126047 05033865944
Log(Total Actual Collections rentable sf) Age 00015178151 10015189676 015 0003670824 1398532082324 04134807595 06798877496
Log(Total Actual Collections rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00249154485 10252284322 252 0067842812 1423468871242 03672525904 07139760316
Log(Management Fee rentable sf) Intercept -02128803278 08082528568 -1917 04254329778 585619088893 -0500385111 06186792644
Log(Management Fee rentable sf) Green Certified (1=yes 0=no)[Yes] 0019865513 10200641454 201 00593086525 1354977267554 03349513461 07381797603
Log(Management Fee rentable sf) Gym (1=yes 0=no)[Yes] -00082052627 09918283086 -082 00958032958 1386068833723 -00856469772 09318706455
Log(Management Fee rentable sf) Pool (1=yes 0=no)[Yes] 00174275629 10175803089 176 00771880661 202180965349 02257805358 08236388274
Log(Management Fee rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00153191452 10154370848 154 01103651216 1423896402644 01388042255 08898009734
Log(Management Fee rentable sf) Walk Score 00070459229 10070708039 071 00028008303 805559990921 25156550566 0013868745
Log(Management Fee rentable sf) of Unfurnished Apartments -0001358177 09986427449 -014 00003916726 1421224837061 -34676335479 00006950146
Log(Management Fee rentable sf) Average Apt Unit Size -00005130214 09994871101 -005 00003375961 1007585612206 -15196307445 0131735624
Log(Management Fee rentable sf) Age 00013613923 10013623194 014 00037151697 1277713043957 03664414822 07146417588
Log(Management Fee rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -00674463479 09347778721 -652 00657081953 1299283630266 -10264525997 03065854809
Log(Total Utilities Rentable sf) Intercept -03748562337 06873880949 -3126 04464274077 1402143832266 -08396801522 04025171642
Log(Total Utilities Rentable sf) Green Certified (1=yes 0=no)[Yes] 00873163337 10912418217 912 0064576715 1358457024729 13521334071 01785794114
Log(Total Utilities Rentable sf) Gym (1=yes 0=no)[Yes] 01175979311 11247917766 1248 01048349264 1384172144229 11217438221 02639135776
Log(Total Utilities Rentable sf) Pool (1=yes 0=no)[Yes] 00115680134 10116351816 116 00928512423 72633370166 01245865221 09011950626
Log(Total Utilities Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00222539972 10225034645 225 01216524447 1425571484619 01829309493 0855112103
Log(Total Utilities Rentable sf) Walk Score 00068649233 10068885409 069 00029812807 1396033046894 23026759291 00227754146
Log(Total Utilities Rentable sf) of Unfurnished Apartments -00006773222 09993229071 -007 00004273761 1401067188346 -15848386198 01152575495
Log(Total Utilities Rentable sf) Average Apt Unit Size -00003442022 0999655857 -003 00003581401 1425120147852 -09610825805 03381384619
Log(Total Utilities Rentable sf) Age 00048795122 10048914364 049 00040600929 1425855030198 12018227897 02314244716
Log(Total Utilities Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -01198355423 08870663096 -1129 00742421382 1413320388001 -16141176043 01087323819
Log(MampR rentable sf) Intercept -09030689887 04053238148 -5947 0437858541 1384008312652 -20624674504 00410332652
Log(MampR rentable sf) Green Certified (1=yes 0=no)[Yes] 00937424436 10982768413 983 00639155521 1376081716673 14666609392 01447499128
Log(MampR rentable sf) Gym (1=yes 0=no)[Yes] 00037664885 10037735907 038 01036113865 1396450691334 00363520715 09710535435
Log(MampR rentable sf) Pool (1=yes 0=no)[Yes] 01319613595 11410642271 1411 00887446725 719561267791 14869778183 0141389644
Log(MampR rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00521515872 09491849716 -508 01197720975 1428478988157 -04354235112 06639122497
Log(MampR rentable sf) Walk Score 00110131704 10110740386 111 00029197236 1385662208531 37719907631 00002391344
Log(MampR rentable sf) of Unfurnished Apartments -00008849955 09991153959 -009 00004219429 1410140957414 -20974297602 0037740228
Log(MampR rentable sf) Average Apt Unit Size 00000594506 10000594524 001 0000353075 1429981472006 01683796031 08665225748
Log(MampR rentable sf) Age 0007624822 1007653965 077 00039990018 142990029884 19066812998 00585678315
Log(MampR rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00598131349 10616381449 616 00727173027 1406732379184 08225433659 04121598071
Log(Subtotal Maintenance rentable sf) Intercept -07997344997 04494482769 -5506 0489167182 1380935604874 -16348899298 01043496414
Log(Subtotal Maintenance rentable sf) Green Certified (1=yes 0=no)[Yes] 01180969773 11253532398 1254 00707986514 1348907221481 16680681771 00976219515
Log(Subtotal Maintenance rentable sf) Gym (1=yes 0=no)[Yes] 00409351965 10417845921 418 01148796072 1378640116803 03563312718 07221372278
Log(Subtotal Maintenance rentable sf) Pool (1=yes 0=no)[Yes] 01515780559 11636691295 1637 0100780712 617547240206 15040383505 01376688864
Log(Subtotal Maintenance rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -0078076377 09248937833 -751 01331885868 1426567369893 -05862092154 05586613077
Log(Subtotal Maintenance rentable sf) Walk Score 0011889233 10119601909 120 00032614069 1377504918879 36454307183 00003773801
Log(Subtotal Maintenance rentable sf) of Unfurnished Apartments -00008153416 09991849907 -008 00004682078 1398534995511 -17414095506 00838107083
Log(Subtotal Maintenance rentable sf) Average Apt Unit Size 00005083484 10005084776 005 00003930253 1428434249161 12934242295 01979520949
Log(Subtotal Maintenance rentable sf) Age 00104106727 10104650523 105 00044515054 1428449267664 23386858733 00207383998
Log(Subtotal Maintenance rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 02440298206 12763823925 2764 0081177414 1402563601749 30061295196 00031359748
Log(Property Insurance rentable sf) Intercept -08916874806 04099633635 -5900 04516384713 1429624291993 -19743390727 00502702101
Log(Property Insurance rentable sf) Green Certified (1=yes 0=no)[Yes] 01239058141 11319092561 1319 0062692592 1281678143933 19764027959 00502564371
Log(Property Insurance rentable sf) Gym (1=yes 0=no)[Yes] -0003522638 09964835593 -035 01024969537 1314939748594 -0034368221 09726356404
Log(Property Insurance rentable sf) Pool (1=yes 0=no)[Yes] 00227423743 10230029538 230 01040308572 1125700947624 02186118131 08273482928
Log(Property Insurance rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00155809876 10157030041 157 01206677853 1368483458399 01291230096 08974498986
Log(Property Insurance rentable sf) Walk Score 00072977866 10073244804 073 00030353828 1428602075435 24042392705 00174877086
Log(Property Insurance rentable sf) of Unfurnished Apartments -00010061941 09989943119 -010 0000420017 1337858380697 -23956034086 00179774093
Log(Property Insurance rentable sf) Average Apt Unit Size -00006330482 09993671521 -006 00003514502 1338864329416 -18012458048 0073914725
Log(Property Insurance rentable sf) Age 00009661099 10009665767 010 00039921418 1338497494964 02420028921 08091483095
Log(Property Insurance rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -00520208103 09493091112 -507 00749301111 1411273861679 -06942577501 04886618561
Log(Total All Expenses Rentable sf) Intercept 17410862845 57035357214 47035 03946731547 141889623796 44114636723 00000201648
Log(Total All Expenses Rentable sf) Green Certified (1=yes 0=no)[Yes] 01231722438 11310792255 1311 00565275641 1341244163534 21789766772 00310802733
Log(Total All Expenses Rentable sf) Gym (1=yes 0=no)[Yes] 00096244971 10096709615 097 00919378962 1370603130567 01046847658 09167789899
Log(Total All Expenses Rentable sf) Pool (1=yes 0=no)[Yes] 01610294116 11747195186 1747 00846545666 801516751987 19021940341 00607378863
Log(Total All Expenses Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00361842114 09644626121 -355 01071504659 1418739239709 -03376953252 07360919324
Log(Total All Expenses Rentable sf) Walk Score 00087371658 10087754463 088 00026426023 1411809488418 33062734678 00011989895
Log(Total All Expenses Rentable sf) of Unfurnished Apartments -00008720665 09991283137 -009 00003752966 1389800988186 -23236728617 00215934791
Log(Total All Expenses Rentable sf) Average Apt Unit Size -0000155413 0999844599 -002 00003145108 1409449329598 -0494142052 06219751067
Log(Total All Expenses Rentable sf) Age 00015666155 10015678433 016 00035695206 1412387206124 04388868073 06614142124
Log(Total All Expenses Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00157918953 10159172462 159 00657593447 1424551160559 02401467861 08105616925
Log(NOI Rentable sf) Intercept 27416093787 155119295878 145119 049686036 1426328429735 55178669889 0000000157
Log(NOI Rentable sf) Green Certified (1=yes 0=no)[Yes] 00932241108 10977077159 977 00701671113 1292740226257 13286012361 01863200879
Log(NOI Rentable sf) Gym (1=yes 0=no)[Yes] 0111280688 11177085902 1177 0114413579 13320261997 09726178396 03325061802
Log(NOI Rentable sf) Pool (1=yes 0=no)[Yes] -00608871507 0940929417 -591 01107002034 838263437204 -05500184174 05837693269
Log(NOI Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -01393113526 08699571229 -1300 01340931949 1397855428856 -10389144106 03006382455
Log(NOI Rentable sf) Walk Score 00045000262 10045101666 045 0003337636 1423581725818 13482675372 01797136327
Log(NOI Rentable sf) of Unfurnished Apartments -00007116645 09992885887 -007 00004679272 1358400867851 -15208872073 01306124688
Log(NOI Rentable sf) Average Apt Unit Size -00001937801 09998062387 -002 00003921685 1372175013367 -04941245389 06220083144
Log(NOI Rentable sf) Age 00034607088 1003466704 035 00044548378 1376438770548 07768428318 04385844885
Log(NOI Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00488697769 10500835966 501 00828565286 1429949688826 05898120243 0556247504
Concessions rentable sf Intercept 0091580439 10959049266 959 12772069558 1418541020247 00717036801 09429387231
Concessions rentable sf Green Certified (1=yes 0=no)[Yes] 01110697527 11174728508 1175 01814813765 1293641668833 06120173584 05416004511
Concessions rentable sf Gym (1=yes 0=no)[Yes] -05094051331 06008529 -3991 02955403985 1336296409402 -17236395961 00870857294
Concessions rentable sf Pool (1=yes 0=no)[Yes] -00886152984 09151975838 -848 02791864929 69298361986 -03174053928 07518903943
Concessions rentable sf Outdoor Common Area (1=yes 0=no)[Yes] 04576291372 15803228114 5803 03455726285 1408379747117 13242632646 01875606951
Concessions rentable sf Walk Score 00120688741 10121419968 121 00085630896 1409791646097 14094064916 01609170757
Concessions rentable sf of Unfurnished Apartments -00007045588 09992956894 -007 00012075862 1364744404696 -05834438741 05605574922
Concessions rentable sf Average Apt Unit Size -00003193903 09996806607 -003 00010135961 1389703034326 -03151061148 07531537379
Concessions rentable sf Age 00130223218 10131074815 131 00115086772 139464867267 11315220311 02597773256
Concessions rentable sf Building Mix (0=multifamily 1 = mixed-use)[Mixed] -03719888249 06893619462 -3106 02129597676 1426034459287 -17467563435 00828326573
Y Term Practical Interpretation increasedecrease Probgt|t| Total Rents Collected Subtotal Maintenance Property Insurance Total Expenses
Log(Total Rents Collected rentable sf) Green Certified (1=yes 0=no)[Yes] 1047
Hopkins Erin Hopkins Erincant provide a confidencd interval for it
009 130837635934 13311489362 01847683215 67633617021
Log(Subtotal Maintenance rentable sf) Green Certified (1=yes 0=no)[Yes] 1254 010 267662568114 08839769656 0489370035 133484365708
Log(Property Insurance rentable sf) Green Certified (1=yes 0=no)[Yes] 1319 005 44887430941 07758149459 02417429373 41261056301
Log(Total All Expenses Rentable sf) Green Certified (1=yes 0=no)[Yes] 1311 003 103066299601 12390720963 00474343371 5067818194
206907297628 2385711159 02072356932 9194606526
318766961061 22633758919 04452208547 128154919371
92461669878 09545425866 01280485733 38832017239
143925847783 15966970999 02187893202 54018796992
176714125561 02006495648 02876780533 58992020575
232897515382 0726170332 00787094673 69517596041
Non-green sf average Financial Green Impact sf Financial green impact differencesf Green impactapt Green impactproperty 51780910259 05203453537 00494304264 22609306646
178353784788 17547710996 02048626598 95961490345
Total Rents Collected sf 1047 2356 2603 $ 247 $ 2189 $ 551683 113769814112 12206875575 03432049607 118156743193
Subtotal Maintenance sf 1254 160 180 $ 020 $ 178 $ 44843 301239240258 10561596849 0204970258 110903994641
Property Insurance sf 1319 036 041 $ 005 $ 42 $ 10601 918584487 08376649832 00914663991 4146546939
Total Expenses sf 1311 852 963 $ 112 $ 990 $ 249535 265183769576 19294929362 03500602344 108447158033
226055903548 13557897255 03988791741 10971207244
334894587007 17970717884 05122599181 124640467569
5542518821 31394328066 04875650977 200668786372
112655732059 13445692884 02031297086 43995867235
129139526152 1168069688 00518980213 4651511283
Avg Apt Size Avg of Units 151098478261 13975 02004130435 51873478261
192155046737 21015937064 02616549091 8357602264
887 252 514840434082 52766375656 02375463267 174375582672
81421971535 06694487849 00899424521 2748686222
30246817244 21594341279 03308639536 97277207077
488523197409 27727612187 0646599696 130752346177
318750561687 38903340576 03852711795 142409683793
310384048163 43119745565 03335824966 138846874251
Green Certification Impacts 48578215663 0350218077 03095574205 23695139998
Dependent Variable Per Square Foot Per Apartment Per Property 192237574111 13374121765 02053242615 84027476689
Total Rents Collected $ 247 $ 2189 $ 551683 62979912788 05343191729 00816289996 45390243161
Subtotal Maintenance $ 020 $ 178 $ 44843 148378959661 14651715909 02004049722 80900580942
Property Insurance $ 005 $ 42 $ 10601 196798863889 11267176542 02499920663 90266351433
Total Expenses $ 112 $ 990 $ 249535 281508617823 09686995581 01118170881 119863342059
58584849751 0106864586 04187933949 44180073736
126756167712 1265684516 02796423029 87538414144
176550549412 24957340254 02343899179 88904473415
252421786235 28063734042 03142238564 133776179357
191875932907 13637043757 03440324697 987034902
159508092934 13109374847 02091697013 98967206196
342739845467 09614092295 03929892961 129755936769
192510355167 32804720611 01743191858 134560085596
257829360401 13666691797 01527100011 56329812754
358622391559 14251973427 03437553732 101098436889
217744157919 24046486586 01864745418 68711016642
222112557003 22022148788 07879755849 97807110765
202535763689 04548110217 10003436751 127886698915
155879815194 23816051158 04816227091 119033557201
11066078843 23413202706 06413902496 81812176347
151924709838 18873401649 05711000232 105403544539
163604010853 16052949068 02714509557 82030431823
133974400047 11018949984 03560839935 59096477943
133528448829 13647819036 02538331588 66159357367
187400008959 16889788117 030870974 115752907975
155246293804 18308314258 03852380906 116657595614
34082816218 05447090935 09838411173 13641308574
201220131342 11192465065 03188344246 93786154242
139108532616 13313944086 03887737775 69698295902
191656858207 15717927807 06002115982 119380046581
200921599083 12597596226 03267106334 82474085087
57536742874 00453219212 00300766262 10569757217
120548294116 11607892527 03275736725 74435143659
123188534664 1404028789 03510968138 78762080781
59543029729 0899713372 01652374748 28143456117
144215639215 19193238703 02899837711 67370054173
340046684831 19619729415 04325060698 120608464163
208244777176 28183367899 037 73104355304
234349752613 19432301154 0351134881 107484594815
136370903402 17029933791 01989576534 50899930579
149968383478 14209793679 02735642323 63813718869
81145819519 0920766851 00474564037 30674168785
226307446224 12529424404 02036192613 69235920453
132787305462 08047482453 01232346659 41808605432
251519090044 21798380428 0376480317 80396623551
492269138212 12196979039 02981674812 128316943664
107177195916 08016374211 0113808252 40618650625
128238528886 10751217142 01843492552 6476830365
57582611557 11908427448 0874334536 134004066235
43835651097 34822540694 03904989384 146763800425
205787355386 1429219053 02624404931 5321754079
463148430769 07709353846 06150738462 101617384615
377949548611 28670972222 08296944444 109743576389
360087564176 03501711352 18551055334 110041072447
18371979614 18232783153 07267294459 61184870906
678035276363 13443501226 10431616676 167533484248
56073359244 10138647576 01591318768 51440832304
189431314891 05101557395 03677787459 41010945328
383550342095 23244425576 04086557393 98151764619
115544349685 03310482653 037 40344851625
7552318246 0955023726 01241945851 24368780848
133083101881 19451300341 00938801919 48731378614
122308363087 13760780005 01439989014 45100624828
84908269322 10857071617 01155797799 36082570734
263116048067 10733627163 041902582 60372732395
76183752731 09621126305 01069925907 26170373239
172494454001 11781600332 03919686814 59016193131
342076422068 22741368431 03165622465 73557085549
215534567901 1485497076 02210396361 49118778428
314593058927 23798916958 02751353803 121998559501
586535191691 21029046354 02109026171 91979074439
138093310078 14595490221 02142269839 44286283792
227203645682 04584630891 05737147639 93344680527
572754455737 17713614269 01642228739 92545561671
60603870458 04541110154 01180884676 15902125521
358781017266 33847643857 06854022643 139200146946
342079216629 24477703832 0463059603 67166143833
651201231187 51019950176 12529595849 222094150831
369798669702 21700816928 0444474205 101410502507
421838575952 28823013788 05443272608 151399739597
626095189209 20826275416 04947814184 184651096472
214882899762 25034709712 06359683889 109534721722
274037120739 26718517094 037 67504928595
252667703737 25588590114 05379535858 109041874345
59253832495 01099622961 04620367393 19262874847
150862851538 18053109961 07398729558 71488607075
111196959019 00928417366 037 09427894164
667360269858 07921160191 02989609494 104670639024
2356 160 036 852
Log(Vacancies amp Rent Loss rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified -00318 00916 -00313 07289
Fitness Center 01008 01480 01060 04969
Pool 01126 01133 01192 03253
Outdoor Common Area 02673 01691 03064 01162
Walk Score 00102 00041 00102 00140
of Unfurnished Apartments -00003 00006 -00003 06769
Average Apt Unit Size -00003 00005 -00003 06067
Age -00026 00056 -00026 06428
Building Mix 00099 01008 00099 09219
Note R2 = 645
Log(Total Rents Collected rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00996 00591 01047 00941
Fitness Center 00684 00962 00708 04783
Pool 00089 00916 00089 09231
Outdoor Common Area -00837 01126 -00803 04587
Walk Score 00065 00028 00065 00218
of Unfurnished Apartments -00009 00004 -00009 00290
Average Apt Unit Size -00002 00003 -00002 05298
Age 00008 00037 00008 08237
Building Mix 00043 00695 00043 09507
Note R2 = 3318
Log(Total Actual Collections rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00944 00579 00991 01052
Fitness Center 00739 00942 00767 04343
Pool 00130 00886 00131 08834
Outdoor Common Area -00794 01102 -00764 04721
Walk Score 00066 00027 00066 00176
of Unfurnished Apartments -00008 00004 -00008 00322
Average Apt Unit Size -00002 00003 -00002 05034
Age 00015 00037 00015 06799
Building Mix 00249 00678 00252 07140
Note R2 = 3219
Log(Management Fee rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00199 00593 00201 07382
Fitness Center -00082 00958 -00082 09319
Pool 00174 00772 00176 08236
Outdoor Common Area 00153 01104 00154 08898
Walk Score 00070 00028 00071 00139
of Unfurnished Apartments -00014 00004 -00014 00007
Average Apt Unit Size -00005 00003 -00005 01317
Age 00014 00037 00014 07146
Building Mix -00674 00657 -00652 03066
Note R2 = 1697
Log(Total Utilities Rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00873 00646 00912 01786
Fitness Center 01176 01048 01248 02639
Pool 00116 00929 00116 09012
Outdoor Common Area 00223 01217 00225 08551
Walk Score 00069 00030 00069 00228
of Unfurnished Apartments -00007 00004 -00007 01153
Average Apt Unit Size -00003 00004 -00003 03381
Age 00049 00041 00049 02314
Building Mix -01198 00742 -01129 01087
Note R2 = 2171
Log(MampR rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00937 00639 00983 01447
Fitness Center 00038 01036 00038 09711
Pool 01320 00887 01411 01414
Outdoor Common Area -00522 01198 -00508 06639
Walk Score 00110 00029 00111 00002
of Unfurnished Apartments -00009 00004 -00009 00377
Average Apt Unit Size 00001 00004 00001 08665
Age 00076 00040 00077 00586
Building Mix 00598 00727 00616 04122
Note R2 = 2620
Log(Subtotal Maintenance rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 01181 00708 01254 00976
Fitness Center 00409 01149 00418 07221
Pool 01516 01008 01637 01377
Outdoor Common Area -00781 01332 -00751 05587
Walk Score 00119 00033 00120 00004
of Unfurnished Apartments -00008 00005 -00008 00838
Average Apt Unit Size 00005 00004 00005 01980
Age 00104 00045 00105 00207
Building Mix 02440 00812 02764 00031
Note R2 = 3218
Log(Property Insurance rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 01239 00627 01319 00503
Fitness Center -00035 01025 -00035 09726
Pool 00227 01040 00230 08273
Outdoor Common Area 00156 01207 00157 08974
Walk Score 00073 00030 00073 00175
of Unfurnished Apartments -00010 00004 -00010 00180
Average Apt Unit Size -00006 00004 -00006 00739
Age 00010 00040 00010 08091
Building Mix -00520 00749 -00507 04887
Note R2 = 3902
Log(Total All Expenses Rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 01232 00565 01311 00311
Fitness Center 00096 00919 00097 09168
Pool 01610 00847 01747 00607
Outdoor Common Area -00362 01072 -00355 07361
Walk Score 00087 00026 00088 00012
of Unfurnished Apartments -00009 00004 -00009 00216
Average Apt Unit Size -00002 00003 -00002 06220
Age 00016 00036 00016 06614
Building Mix 00158 00658 00159 08106
Note R2 = 2943
Log(NOI Rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00932 00702 00977 01863
Fitness Center 01113 01144 01177 03325
Pool -00609 01107 -00591 05838
Outdoor Common Area -01393 01341 -01300 03006
Walk Score 00045 00033 00045 01797
of Unfurnished Apartments -00007 00005 -00007 01306
Average Apt Unit Size -00002 00004 -00002 06220
Age 00035 00045 00035 04386
Building Mix 00489 00829 00501 05562
Note R2 = 3669
Concessions rentable sf
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 01111 01815 01175 05416
Fitness Center -05094 02955 -03991 00871
Pool -00886 02792 -00848 07519
Outdoor Common Area 04576 03456 05803 01876
Walk Score 00121 00086 00121 01609
of Unfurnished Apartments -00007 00012 -00007 05606
Average Apt Unit Size -00003 00010 -00003 07532
Age 00130 00115 00131 02598
Building Mix -03720 02130 -03106 00828
Note R2 = 2402
Y Term ~Bias Estimate EXP estimate Practical Interpretation increasedecrease Std Error DFDen t Ratio Probgt|t| Estimate Std Error Practical Interpretation Significance
Log(Vacancies amp Rent Loss rentable sf) Intercept 00893029328 10934118365 934 06116337119 1083785495375 01460072116 08841869197 Green Cert
Log(Vacancies amp Rent Loss rentable sf) Green Certified (1=yes 0=no)[Yes] -0031825668 09686754385 -313 009164153 139931853592 -03472843369 07288994904 Gym
Log(Vacancies amp Rent Loss rentable sf) Gym (1=yes 0=no)[Yes] 01007730854 11060256399 1060 01479591517 1412043780621 0681087207 0496931725
Log(Vacancies amp Rent Loss rentable sf) Pool (1=yes 0=no)[Yes] 01125884395 11191712315 1192 0113345701 506840641957 09933190097 032527325
Log(Vacancies amp Rent Loss rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 02672618233 13063824429 3064 01690835398 1429144230275 15806495624 01161688791
Log(Vacancies amp Rent Loss rentable sf) Walk Score 00101642302 10102160615 102 00040763935 1219632686439 24934369735 00139912712
Log(Vacancies amp Rent Loss rentable sf) of Unfurnished Apartments -0000250981 09997490505 -003 00006011213 142449410245 -04175214322 06769256723
Log(Vacancies amp Rent Loss rentable sf) Average Apt Unit Size -00002575258 09997425074 -003 00004990119 1315989429881 -05160713681 06066705884
Log(Vacancies amp Rent Loss rentable sf) Age -00026152008 09973882158 -026 00056263988 1391583522195 -04648090107 06427946925
Log(Vacancies amp Rent Loss rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00099001013 10099492694 099 0100821633 1384002310718 00981942166 09219201454
Log(Total Rents Collected rentable sf) Intercept 30195696974 204824761253 194825 04164909532 1420770663705 72500246992 0
Log(Total Rents Collected rentable sf) Green Certified (1=yes 0=no)[Yes] 00996165255 11047471944 1047
Hopkins Erin Hopkins Erincant provide a confidencd interval for it
00590542761 1286416575023 16868638818 0094053065 0099617 00590542761 1047
Log(Total Rents Collected rentable sf) Gym (1=yes 0=no)[Yes] 00684081888 10708023088 708 0096210834 1330244953516 07110237581 04783143732
Log(Total Rents Collected rentable sf) Pool (1=yes 0=no)[Yes] 00088712036 10089106694 089 00916333982 708572236354 00968119025 09231490817
Log(Total Rents Collected rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00836597449 09197441505 -803 01126005752 1404546011941 -07429779537 04587359136
Log(Total Rents Collected rentable sf) Walk Score 0006479206 10065002414 065 0002794287 1413201347208 23187331419 00218436949
Log(Total Rents Collected rentable sf) of Unfurnished Apartments -00008678845 0999132492 -009 00003932429 1359586026848 -22069932213 00289920945 variance components to talk about how much of the total error that is attribuatle to city
Log(Total Rents Collected rentable sf) Average Apt Unit Size -00002078918 09997921298 -002 00003300088 1382568544162 -06299582685 05297616269
Log(Total Rents Collected rentable sf) Age 00008364704 10008368204 008 00037477419 1387794745176 02231931757 08237133506
Log(Total Rents Collected rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00042999624 10043092206 043 0069466499 142786243042 00618998008 09507291881
Log(Total Actual Collections rentable sf) Intercept 30681072891 215011686418 205012 04070110501 1415072794017 75381424868 0
Log(Total Actual Collections rentable sf) Green Certified (1=yes 0=no)[Yes] 00944491888 10990533175 991 00578900924 1291837028308 16315259643 01052148631
Log(Total Actual Collections rentable sf) Gym (1=yes 0=no)[Yes] 00739127176 10767128233 767 0094247393 1335821297113 07842415071 04342868782
Log(Total Actual Collections rentable sf) Pool (1=yes 0=no)[Yes] 00130418887 10131273051 131 00885804441 654593026021 01472321442 08834013324
Log(Total Actual Collections rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00794248992 0923647384 -764 01101507414 1410305976559 -07210564195 04720684016
Log(Total Actual Collections rentable sf) Walk Score 00065530115 10065745295 066 00027272037 14047408887 24028316857 00175745575
Log(Total Actual Collections rentable sf) of Unfurnished Apartments -0000833078 09991672689 -008 00003850262 1365168778586 -21636916411 00322285543
Log(Total Actual Collections rentable sf) Average Apt Unit Size -00002169447 09997830788 -002 00003233576 1393662972101 -06709126047 05033865944
Log(Total Actual Collections rentable sf) Age 00015178151 10015189676 015 0003670824 1398532082324 04134807595 06798877496
Log(Total Actual Collections rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00249154485 10252284322 252 0067842812 1423468871242 03672525904 07139760316
Log(Management Fee rentable sf) Intercept -02128803278 08082528568 -1917 04254329778 585619088893 -0500385111 06186792644
Log(Management Fee rentable sf) Green Certified (1=yes 0=no)[Yes] 0019865513 10200641454 201 00593086525 1354977267554 03349513461 07381797603
Log(Management Fee rentable sf) Gym (1=yes 0=no)[Yes] -00082052627 09918283086 -082 00958032958 1386068833723 -00856469772 09318706455
Log(Management Fee rentable sf) Pool (1=yes 0=no)[Yes] 00174275629 10175803089 176 00771880661 202180965349 02257805358 08236388274
Log(Management Fee rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00153191452 10154370848 154 01103651216 1423896402644 01388042255 08898009734
Log(Management Fee rentable sf) Walk Score 00070459229 10070708039 071 00028008303 805559990921 25156550566 0013868745
Log(Management Fee rentable sf) of Unfurnished Apartments -0001358177 09986427449 -014 00003916726 1421224837061 -34676335479 00006950146
Log(Management Fee rentable sf) Average Apt Unit Size -00005130214 09994871101 -005 00003375961 1007585612206 -15196307445 0131735624
Log(Management Fee rentable sf) Age 00013613923 10013623194 014 00037151697 1277713043957 03664414822 07146417588
Log(Management Fee rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -00674463479 09347778721 -652 00657081953 1299283630266 -10264525997 03065854809
Log(Total Utilities Rentable sf) Intercept -03748562337 06873880949 -3126 04464274077 1402143832266 -08396801522 04025171642
Log(Total Utilities Rentable sf) Green Certified (1=yes 0=no)[Yes] 00873163337 10912418217 912 0064576715 1358457024729 13521334071 01785794114
Log(Total Utilities Rentable sf) Gym (1=yes 0=no)[Yes] 01175979311 11247917766 1248 01048349264 1384172144229 11217438221 02639135776
Log(Total Utilities Rentable sf) Pool (1=yes 0=no)[Yes] 00115680134 10116351816 116 00928512423 72633370166 01245865221 09011950626
Log(Total Utilities Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00222539972 10225034645 225 01216524447 1425571484619 01829309493 0855112103
Log(Total Utilities Rentable sf) Walk Score 00068649233 10068885409 069 00029812807 1396033046894 23026759291 00227754146
Log(Total Utilities Rentable sf) of Unfurnished Apartments -00006773222 09993229071 -007 00004273761 1401067188346 -15848386198 01152575495
Log(Total Utilities Rentable sf) Average Apt Unit Size -00003442022 0999655857 -003 00003581401 1425120147852 -09610825805 03381384619
Log(Total Utilities Rentable sf) Age 00048795122 10048914364 049 00040600929 1425855030198 12018227897 02314244716
Log(Total Utilities Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -01198355423 08870663096 -1129 00742421382 1413320388001 -16141176043 01087323819
Log(MampR rentable sf) Intercept -09030689887 04053238148 -5947 0437858541 1384008312652 -20624674504 00410332652
Log(MampR rentable sf) Green Certified (1=yes 0=no)[Yes] 00937424436 10982768413 983 00639155521 1376081716673 14666609392 01447499128
Log(MampR rentable sf) Gym (1=yes 0=no)[Yes] 00037664885 10037735907 038 01036113865 1396450691334 00363520715 09710535435
Log(MampR rentable sf) Pool (1=yes 0=no)[Yes] 01319613595 11410642271 1411 00887446725 719561267791 14869778183 0141389644
Log(MampR rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00521515872 09491849716 -508 01197720975 1428478988157 -04354235112 06639122497
Log(MampR rentable sf) Walk Score 00110131704 10110740386 111 00029197236 1385662208531 37719907631 00002391344
Log(MampR rentable sf) of Unfurnished Apartments -00008849955 09991153959 -009 00004219429 1410140957414 -20974297602 0037740228
Log(MampR rentable sf) Average Apt Unit Size 00000594506 10000594524 001 0000353075 1429981472006 01683796031 08665225748
Log(MampR rentable sf) Age 0007624822 1007653965 077 00039990018 142990029884 19066812998 00585678315
Log(MampR rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00598131349 10616381449 616 00727173027 1406732379184 08225433659 04121598071
Log(Subtotal Maintenance rentable sf) Intercept -07997344997 04494482769 -5506 0489167182 1380935604874 -16348899298 01043496414
Log(Subtotal Maintenance rentable sf) Green Certified (1=yes 0=no)[Yes] 01180969773 11253532398 1254 00707986514 1348907221481 16680681771 00976219515
Log(Subtotal Maintenance rentable sf) Gym (1=yes 0=no)[Yes] 00409351965 10417845921 418 01148796072 1378640116803 03563312718 07221372278
Log(Subtotal Maintenance rentable sf) Pool (1=yes 0=no)[Yes] 01515780559 11636691295 1637 0100780712 617547240206 15040383505 01376688864
Log(Subtotal Maintenance rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -0078076377 09248937833 -751 01331885868 1426567369893 -05862092154 05586613077
Log(Subtotal Maintenance rentable sf) Walk Score 0011889233 10119601909 120 00032614069 1377504918879 36454307183 00003773801
Log(Subtotal Maintenance rentable sf) of Unfurnished Apartments -00008153416 09991849907 -008 00004682078 1398534995511 -17414095506 00838107083
Log(Subtotal Maintenance rentable sf) Average Apt Unit Size 00005083484 10005084776 005 00003930253 1428434249161 12934242295 01979520949
Log(Subtotal Maintenance rentable sf) Age 00104106727 10104650523 105 00044515054 1428449267664 23386858733 00207383998
Log(Subtotal Maintenance rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 02440298206 12763823925 2764 0081177414 1402563601749 30061295196 00031359748
Log(Property Insurance rentable sf) Intercept -08916874806 04099633635 -5900 04516384713 1429624291993 -19743390727 00502702101
Log(Property Insurance rentable sf) Green Certified (1=yes 0=no)[Yes] 01239058141 11319092561 1319 0062692592 1281678143933 19764027959 00502564371
Log(Property Insurance rentable sf) Gym (1=yes 0=no)[Yes] -0003522638 09964835593 -035 01024969537 1314939748594 -0034368221 09726356404
Log(Property Insurance rentable sf) Pool (1=yes 0=no)[Yes] 00227423743 10230029538 230 01040308572 1125700947624 02186118131 08273482928
Log(Property Insurance rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00155809876 10157030041 157 01206677853 1368483458399 01291230096 08974498986
Log(Property Insurance rentable sf) Walk Score 00072977866 10073244804 073 00030353828 1428602075435 24042392705 00174877086
Log(Property Insurance rentable sf) of Unfurnished Apartments -00010061941 09989943119 -010 0000420017 1337858380697 -23956034086 00179774093
Log(Property Insurance rentable sf) Average Apt Unit Size -00006330482 09993671521 -006 00003514502 1338864329416 -18012458048 0073914725
Log(Property Insurance rentable sf) Age 00009661099 10009665767 010 00039921418 1338497494964 02420028921 08091483095
Log(Property Insurance rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -00520208103 09493091112 -507 00749301111 1411273861679 -06942577501 04886618561
Log(Total All Expenses Rentable sf) Intercept 17410862845 57035357214 47035 03946731547 141889623796 44114636723 00000201648
Log(Total All Expenses Rentable sf) Green Certified (1=yes 0=no)[Yes] 01231722438 11310792255 1311 00565275641 1341244163534 21789766772 00310802733
Log(Total All Expenses Rentable sf) Gym (1=yes 0=no)[Yes] 00096244971 10096709615 097 00919378962 1370603130567 01046847658 09167789899
Log(Total All Expenses Rentable sf) Pool (1=yes 0=no)[Yes] 01610294116 11747195186 1747 00846545666 801516751987 19021940341 00607378863
Log(Total All Expenses Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00361842114 09644626121 -355 01071504659 1418739239709 -03376953252 07360919324
Log(Total All Expenses Rentable sf) Walk Score 00087371658 10087754463 088 00026426023 1411809488418 33062734678 00011989895
Log(Total All Expenses Rentable sf) of Unfurnished Apartments -00008720665 09991283137 -009 00003752966 1389800988186 -23236728617 00215934791
Log(Total All Expenses Rentable sf) Average Apt Unit Size -0000155413 0999844599 -002 00003145108 1409449329598 -0494142052 06219751067
Log(Total All Expenses Rentable sf) Age 00015666155 10015678433 016 00035695206 1412387206124 04388868073 06614142124
Log(Total All Expenses Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00157918953 10159172462 159 00657593447 1424551160559 02401467861 08105616925
Log(NOI Rentable sf) Intercept 27416093787 155119295878 145119 049686036 1426328429735 55178669889 0000000157
Log(NOI Rentable sf) Green Certified (1=yes 0=no)[Yes] 00932241108 10977077159 977 00701671113 1292740226257 13286012361 01863200879
Log(NOI Rentable sf) Gym (1=yes 0=no)[Yes] 0111280688 11177085902 1177 0114413579 13320261997 09726178396 03325061802
Log(NOI Rentable sf) Pool (1=yes 0=no)[Yes] -00608871507 0940929417 -591 01107002034 838263437204 -05500184174 05837693269
Log(NOI Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -01393113526 08699571229 -1300 01340931949 1397855428856 -10389144106 03006382455
Log(NOI Rentable sf) Walk Score 00045000262 10045101666 045 0003337636 1423581725818 13482675372 01797136327
Log(NOI Rentable sf) of Unfurnished Apartments -00007116645 09992885887 -007 00004679272 1358400867851 -15208872073 01306124688
Log(NOI Rentable sf) Average Apt Unit Size -00001937801 09998062387 -002 00003921685 1372175013367 -04941245389 06220083144
Log(NOI Rentable sf) Age 00034607088 1003466704 035 00044548378 1376438770548 07768428318 04385844885
Log(NOI Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00488697769 10500835966 501 00828565286 1429949688826 05898120243 0556247504
Concessions rentable sf Intercept 0091580439 10959049266 959 12772069558 1418541020247 00717036801 09429387231
Concessions rentable sf Green Certified (1=yes 0=no)[Yes] 01110697527 11174728508 1175 01814813765 1293641668833 06120173584 05416004511
Concessions rentable sf Gym (1=yes 0=no)[Yes] -05094051331 06008529 -3991 02955403985 1336296409402 -17236395961 00870857294
Concessions rentable sf Pool (1=yes 0=no)[Yes] -00886152984 09151975838 -848 02791864929 69298361986 -03174053928 07518903943
Concessions rentable sf Outdoor Common Area (1=yes 0=no)[Yes] 04576291372 15803228114 5803 03455726285 1408379747117 13242632646 01875606951
Concessions rentable sf Walk Score 00120688741 10121419968 121 00085630896 1409791646097 14094064916 01609170757
Concessions rentable sf of Unfurnished Apartments -00007045588 09992956894 -007 00012075862 1364744404696 -05834438741 05605574922
Concessions rentable sf Average Apt Unit Size -00003193903 09996806607 -003 00010135961 1389703034326 -03151061148 07531537379
Concessions rentable sf Age 00130223218 10131074815 131 00115086772 139464867267 11315220311 02597773256
Concessions rentable sf Building Mix (0=multifamily 1 = mixed-use)[Mixed] -03719888249 06893619462 -3106 02129597676 1426034459287 -17467563435 00828326573
Page 11: AUGUST 21- 23, 2018 • CLEVELAND, OHIO€¦ · Business Case 2.0: New Research Around High Performing Buildings Thursday 23 rd, 2018 10:30am – 12:00pm

Default risk and source EUI (cont)

Coefficient estimates are significant and robust for three cohorts all buildings Office + multiuse + retail office only Coefficient estimates for electricity price gap significant for all buildings

office + multiuse + retail Consistent results for linear probability and logistic regression models

11

Analysis using Scaled Source EUI ndash Linear probability model

Ratio of Source EUI to NOI(floor area)

Default risk and source EUI (cont)

Coefficient Estimate Standard Error

Intercept -000538 011067Scaled Source EUI 000183 0000369

Origination Loan-to-Value Ratio 000263 000117

Coupon Spread to 10 Year Treasury 000751 0040

Electricity Price Gap 000003 000001

Time to Maturity on Balloon -000203 000068

Origination Year Fixed Effects Yes

339 observations R2 = 1768 plt01 plt005 plt001

Scaled Source EUI (Office + MU + Retail) ndash Linear probability model

12

What are the impacts on specific loansCollaborate with lenders to 1 Demonstrate impact of energy use and price on specific mortgage loans2 Develop recommendations

Approach Compile info from Appraisals PCAs

other sources Estimate source EUI variations

Simulation and empirical approaches

Compute electricity price gap using forward curves

Compute default risk impact due to source EUI and electricity price gap

13

Case Studies

Denver Office

Denver Hotel

San Francisco Multi-family

San Jose Office Sonoma Office

Denver Office ndash energy use and default riskFacilities Management factors HVAC schedule Thermostat setback Supply air temp control VAV min flow control Economizer controls Lighting controlsLevels good average poor

Occupancy factors Occupant density Occupant schedule Plug load density Plug load controlsLevels goodlow average poorhigh

CaseFacilities mgmtfactors

OccupancyFactors

Source EUI change ()

Default risk change (bp)

1 Good GoodLow -54 -248

2 Good Ave -33 -127

3 Ave Ave - -

4 Good PoorHigh +4 +12

5 Poor GoodLow +64 +158

6 Poor Ave +76 +181

7 Poor PoorHigh +132 +268

15

Denver Office ndash energy price and default risk

16

Case Studies ndash summary of risks impacts

Building Source EUI variation ()

Default rate variation (bp)

Default rate variation relative to TREPP avg ()

Denver Office -54 to +132 -248 to +268 -31 to +34

Sonoma Office -40 to +183 -161 to +331 -20 to +41

San Jose Office -62 to +119 -308 to +249 -39 to +31

Denver Hotel -11 to +17 -37 to +49 -5 to +6

San Francisco Multi-family -20 to +26 -72 to +74 -9 to +9

Wholesale price region Default rate variation (bp) Default rate variation relative to TREPP avg ()

Denver area +159 to +501 +20 to +63

Northern California -49 to +705 -6 to +88

Compare to TREPP average default rate of 800bp

17

Case Studies ndash business impactThese results showing the impact of energy on default risk are clearly meaningful I dont currently consider energy efficiency when making a loan and seeing this makes me think I would want to ask about itrdquo

I would like to apply these findings but would want an easy way to use it A simple score or ratio for energy risk would be good In fact I would be interested to pilot test it

Keith Hanley Silicon Valley Bank

18

Looking Ahead

Looking Ahead ndash our visionTo have energy factors fully and routinely incorporated in commercial mortgage valuation accelerating demand for buildings with lower energy risk

20

Show that energy matters

Develop and pilot

interventions Disseminate

best practices Institutionalize

Analysis of energy impacts

Long term

Case studies on actual mortgage loans

Protocols and tools for lenders and owners

Industry Standards

Scope of current effort

RecommendationsLenders Ask owners to provide info on energy cost range

Account for variations in energy use and energy price Could be done as part of Property Condition Assessment Can reference ASTM standard

Incorporate energy risk factor into underwriting and terms eg Interest rate discount for lower risk

Offer additional loan proceeds for EE investments

Owners Ask lenders to account for energy efficiency when setting mortgage

terms Provide data on energy costs to lender

Historical and anticipated In appraisal andor PCA

21

Thank you

Money Matters Exploring the Financial Impacts of Green Certifications in the Multifamily Rental Sector

Erin A Hopkins PhD CAPS LEED Green AssociateAssistant Professor of Property Management

bull Sample 153 properties from 2 of National Multifamily Housing Councilrsquos 2016 50 Largest Apartment Managers

bull Green-certified 2288 of properties (35 properties)bull Methodology Multiple Regression Analysisbull Controls Location Fitness Center Pool Outdoor Common Area Walk

Score of Unfurnished Apartments Average Apartment Unit Size Age Building Mix

bull Limitations Building class not directly taken into account

Overview of Research

Certifications Represented in Sample

Austin Energy Green Buildingreg (AEGB)

Rating System(3)

ENERGY STARreg

(1)

Florida Green Building Coalition

(FGBC)(1)

GreenPoint Rated(4)

LEEDreg

(16)

National Green Building Standardtrade

(NGBS)(11)

Properties by City

2

4

2 2 21 1

3

1 1 12 2

1 1 1

6

1 1

8

11

4

6

14

3

1

19

3

1 1

7

43

2

9

18

2 2

0

2

4

6

8

10

12

14

16

18

20

Summary Statistics of City Datan=153

Summary Satistics of City Data Green Bldgs Summary Satistics of City Data Non-Green Comparables

Descriptive

97

71

100

31

89

69

93

24

0

20

40

60

80

100

120

Fitness Center Pool Outdoor Common Area Mixed-Use Property

Summary Statistics of Green vs Non-Green Propertiesn = 153

Green Non-Green

Descriptive

73228

866

2011

74

259

894

2003

0

500

1000

1500

2000

2500

Walk Score Average Number of Units Average Apt Unit Size (sf) Age

Summary Statistics of Green vs Non-Green Properties

n = 153

Green Non-Green

Findings

Total Rents Collected1047

Total Maintenance1254

Property Insurance1319

Total Expenses1311

Higher rents and expenses

Financial Impacts of Green

Dependent Variable Per Square Foot Per Apartment Per PropertyTotal Rents Collected 247$ 2189$ 551683$ Subtotal Maintenance 020$ 178$ 44843$ Property Insurance 005$ 42$ 10601$ Total Expenses 112$ 990$ 249535$

Coefficients Standard Errors

Tables

Summary of Green Impacts

Summary Table

Discussion

bull Assume efficient operations will offset the higher rent

bull Philanthropic motivesbull Prestige motivesbull Green buildings tend to be newermore

likely to offer the more sought-after amenities and finishes

bull Tend to be in higher-income areaslikely have higher rents

Different motivations for paying higher rent may be in

play

Discussion

Higher Operating Expenses a Surprise

Does not align with much of the existing researchhellipbut no research on effects of green certification on total operating expenses within multifamily rental sector

Many of the certifications represented in this study focus on the design phase of the property vs the operations and maintenance phase

And although promotion of sustainability is on the rise in the multifamily housing sector staff may remain unfamiliar with the unique operations and maintenance of green

buildings

Final Thoughts

Apartment homes represent $13 trillion to the US economy and 5 million new rental households are expected by 2023 (National Multifamily Housing Council 2015)

Upfront capital constraints regulatory issues knowledge limitations and marketing concerns may diminish the attractiveness of multifamily rental green building

certification if not properly managed

Most studies focus on office sector andor strictly rents or property value

This study begins to look at the multifamily rental sector and offer a more comprehensive analysis

Further research is needed with larger datasets to understand effects of green certification on income statement components in the apartment industry as NOI

ultimately determines property market valueOptimism that this study can be the impetus for further research contributions on the

financial environmental and resident satisfaction impacts of green practices and certifications on the multifamily rental sector

Contact informationErin A Hopkinserinz1vtedu

Acknowledgementsbull Todd Feist Sustainability Program Manager at The Institute of

Real Estate Management (IREMreg) for his assistance with this research project

bull Yardi and IREMreg for the grant awarded to support this researchbull The two property management companies for sharing their data

BUILDING PERFORMANCE

UNLOCKINGVALUE

New DOE-driven Research Around High Performing Buildings

AUGUST 23 2018

ANDREW WHITEASSOCIATE MANAGERawhiteretechadvisorscom

2015-2016 bull Research design working group pilot study data lab

2017 bull Connect to Real Estate Research Institute (RERI) Literature review and gap analysis

2018 bull Research agenda request for proposals research project selection and execution

Context Setting ndash DOE Research EffortWhat are the impacts of energy efficiency and high-performance building

features on financial performance of commercial real estate

RERIrsquos mission is to encourage and reward research on real estate as an investment and as an asset class that is both academically rigorous and of value to the institutional real estate investment profession In addition RERI serves to provide a forum through which the real estate academic professional and regulatory communities can interact facilitating the exchange of insights amongst these stakeholders

RERI Overview

Sponsors

Build upon DOErsquos Review of Studies in the Market

bull Focus explicitly on peer-reviewed papers Gap analysis of existing research to

identifybull Questions that have already been

sufficiently provenbull Holes in existing body of research

Academic Inputbull Guidance on which studies to includebull Suggestions for how to conduct analysis

Literature Review Objectives

Literature Review Results

LEED

ENER

GY

ST

AR

labe

l

ENER

GY

ST

AR

sc

ore

Ener

gy u

se

BR

EEA

M

Ener

gy

Perf

orm

anc

e Cer

tific

ates

(U

K)

BO

MA

B

EST

Wal

kabi

lity

Non

-ene

rgy

gree

n fe

atur

es

Oth

er

Rent 20 18 1 2 2 2 1 1 1Rent concessions 1 1 1Sales price 9 11 1 1 1 1Assessed value 2 2Market value 1 2 1 2 1Occupancy 10 9 1Lease renewals 1 1 1Service charge 1Operating cost 2 3Energy cost 2 3Tenant satisfaction 1 1 1Sales time 1 1Default rate 2 1Capitalization rate 1 2 2 1Net operating income 1 1 1Loan to value ratio 1 1Debt service coverage ratio 1 1Worker productivity 1 1Other 5 4 1 4 2 2

There is considerable evidence that green building certifications correlate with increased economic value primarily via higher rents and sales prices

bull How do we move beyond certification to analyze performancebull Correlation vs Causation

bull What is driving added value Is it green features and efficiency the green labels themselves or other desirable features often included in certified buildings

Panel studies could help reduce some of the uncertainty and noise Full results presented at ACEEE Summer Study

bull Raising the Rent Premium Moving Green Building Research Beyond Certifications and Rent

bull Cindy Zhu Andrew White Paul Mathew Jeff Deason Philip Coleman

Literature Review Results

Research Agenda Core QuestionldquoHow does ltenergygreen metricgt affect ltfinancial value metricgtrdquo

EnergyGreen Metric

Site energy use or EUI

Source energy use or EUI

Energy cost or costsf

ENERGY STAR score

ENERGY STAR label

Green Building Certification (LEED BOMA 360)

Green Building Certification level (eg LEED Silver Gold)

Financial Value Metric

VacancyOccupancy Sales Price

Leasing Velocity (absorption speed of sales leasing)

Regulatory amp Compliance Risk

Tenant Renewals Insurance (rates ability)

Tenant Satisfaction Default Risk

Rental Income and Rent Concessions Debt Service Coverage Ratio

Marketing Costs Access to Funding

Utility Costs Maintenance OpEx Interest Rates

Obsolescence Reserves

Capitalization Rates

12 proposals received 5 projects selected Criteria

bull Department of Energy goals

bull Impact on Commercial Real Estate (CRE) Industry

bull Feasibility and Interest

bull Quality and Validity

Proposal Reviews

Jim Clayton Avis Devine (York University) and Rogier Holtermans(University of Guelph) Analyzing four types of energy

efficiency interventions on financial components that impact property-level NOI

bull How do interventions impact different aspects of building operations and their subsequent financial impact

Beyond Environmental Building Certification The Impact of Environmental Interventions on Commercial Real Estate Operations

Piet Eichholtz and Nils Kok (Maastricht University) and RogierHoltermans (University of Guelph) Three key questions

bull How is environmental building certification related to commercial building energy consumption

bull How does aging affect the energy consumption of the commercial building stock

bull To what extent do specific energy efficiency investments affect energy consumption in commercial real estate

The Dynamics of Energy Consumption in Commercial Real Estate

Sofia Dermisi Chris Lee and YoungjinChoe (University of Washington) Exploring the effect of disclosure

policies on office building marketability while assessing potential links between market performance of sustainable assets

bull Before and after the disclosure policies while considering market cycles

bull Before and after ENERGY STAR andor LEED certification

Markets included San Francisco Washington DC

Effect of Energy Benchmarking and Disclosure on Office Building Marketability

Dirk Brounen (Tilburg University) and Gianluca Marcato (Reading University) Analyzing the adoption of GRESB within the public real estate markets and

predicting a potential impact of GRESB scores on REIT returns

Sustainable Insights and Public Real Estate Performance GRESB Effects in REIT Markets

Constantine Kontokosta (New York University) Franz Fuerst(Cambridge University) Gary Pivo (University of Arizona) amp Jacob Sagi (UNC Chapel Hill) Utilizing NYC data to empirically model

bull the spread between the premium for labeled (energy efficient) buildings and the cost to retrofit an under-performing building to meet the same standard which will allow us to understand how much of the observed premium is attributable to energy efficiency and how much can be assigned to other perceived benefits (marketing construction quality etc)

bull the hurdle rate for energy retrofit investments using actual audit data and permitted renovation work

Estimating Office and Residential Building Energy Retrofit Hurdle Rates and Risk Arbitrage in Energy Efficiency Investments

Collecting data for continued Data Lab analysis Presenting Research findings

bull Interim research results ndash IPC Research Symposium (October)bull Greenbuild Session (November)bull RERI Research Conference (April)bull Final research results ndash Better Buildings Webinars Summit 2019 (TBA)

Work with DOE case study and data analysis opportunities abound

Next Steps

Paul Mathew

Lawrence Berkeley National Laboratorypamathewlblgov

Paulo Issler

University of California Berkeleypauloisslerberkeleyedu

Erin Hopkins

Virginia Techerinz1vtedu

Andrew White

RE Tech Advisorsawhiteretechadvisorscom

Contact Info

  • Slide Number 1
  • Business Case 20 New Research Around High Performing Buildings
  • Panelists
  • Energy and Default Risk in Commercial Mortgages
  • Paulo Issler
  • Acknowledgements
  • The link between energy and CRE mortgages
  • Approach Impact of energy on default rate
  • Default risk and source EUI (cont)
  • Default risk and source EUI
  • Default risk and source EUI (cont)
  • Default risk and source EUI (cont)
  • What are the impacts on specific loans
  • Case Studies
  • Denver Office ndash energy use and default risk
  • Denver Office ndash energy price and default risk
  • Case Studies ndash summary of risks impacts
  • Case Studies ndash business impact
  • Looking Ahead
  • Looking Ahead ndash our vision
  • Recommendations
  • Slide Number 22
  • Money Matters Exploring the Financial Impacts of Green Certifications in the Multifamily Rental SectorErin A Hopkins PhD CAPS LEED Green AssociateAssistant Professor of Property Management
  • Overview of Research
  • Certifications Represented in Sample
  • Properties by City
  • Descriptive
  • Descriptive
  • Findings
  • Financial Impacts of Green
  • Discussion
  • Discussion
  • Final Thoughts
  • Slide Number 34
  • Slide Number 35
  • Context Setting ndash DOE Research Effort
  • RERI Overview
  • Literature Review Objectives
  • Literature Review Results
  • Literature Review Results
  • Research Agenda Core Question
  • Proposal Reviews
  • Beyond Environmental Building Certification The Impact of Environmental Interventions on Commercial Real Estate Operations
  • The Dynamics of Energy Consumption in Commercial Real Estate
  • Effect of Energy Benchmarking and Disclosure on Office Building Marketability
  • Sustainable Insights and Public Real Estate Performance GRESB Effects in REIT Markets
  • Estimating Office and Residential Building Energy Retrofit Hurdle Rates and Risk Arbitrage in Energy Efficiency Investments
  • Next Steps
  • Contact Info
Y Term ~Bias Estimate EXP estimate Practical Interpretation increasedecrease Std Error DFDen t Ratio Probgt|t| Log(Vacancies amp Rent Loss rentable sf) Log(Total Rents Collected rentable sf) Log(Total Actual Collections rentable sf) Log(Management Fee rentable sf) Log(Total Utilities Rentable sf) Log(MampR rentable sf) Log(Subtotal Maintenance rentable sf) Log(Property Insurance rentable sf) Log(Total All Expenses Rentable sf) Log(NOI Rentable sf) Concessions rentable sf
Log(Vacancies amp Rent Loss rentable sf) Intercept 00893029328 10934118365 934 06116337119 1083785495375 01460072116 08841869197 Green Certified (1=yes 0=no)[Yes] -00318 01047 00991
Log(Vacancies amp Rent Loss rentable sf) Green Certified (1=yes 0=no)[Yes] -0031825668 09686754385 -313 009164153 139931853592 -03472843369 07288994904 Gym (1=yes 0=no)[Yes] 01060 00708 00767
Log(Vacancies amp Rent Loss rentable sf) Gym (1=yes 0=no)[Yes] 01007730854 11060256399 1060 01479591517 1412043780621 0681087207 0496931725 Pool (1=yes 0=no)[Yes] 01126 00089 00131
Log(Vacancies amp Rent Loss rentable sf) Pool (1=yes 0=no)[Yes] 01125884395 11191712315 1192 0113345701 506840641957 09933190097 032527325 Outdoor Common Area (1=yes 0=no)[Yes] 02673 -00803 -00764
Log(Vacancies amp Rent Loss rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 02672618233 13063824429 3064 01690835398 1429144230275 15806495624 01161688791 Walk Score 00102 00065 00066
Log(Vacancies amp Rent Loss rentable sf) Walk Score 00101642302 10102160615 102 00040763935 1219632686439 24934369735 00139912712 of Unfurnished Apartments -00003 -00009 -00008
Log(Vacancies amp Rent Loss rentable sf) of Unfurnished Apartments -0000250981 09997490505 -003 00006011213 142449410245 -04175214322 06769256723 Average Apt Unit Size -00003 -00002 -00002
Log(Vacancies amp Rent Loss rentable sf) Average Apt Unit Size -00002575258 09997425074 -003 00004990119 1315989429881 -05160713681 06066705884 Age -00026 00008 00015
Log(Vacancies amp Rent Loss rentable sf) Age -00026152008 09973882158 -026 00056263988 1391583522195 -04648090107 06427946925 Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00099 00043 00252
Log(Vacancies amp Rent Loss rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00099001013 10099492694 099 0100821633 1384002310718 00981942166 09219201454
Log(Total Rents Collected rentable sf) Intercept 30195696974 204824761253 194825 04164909532 1420770663705 72500246992 0
Log(Total Rents Collected rentable sf) Green Certified (1=yes 0=no)[Yes] 00996165255 11047471944 1047
Hopkins Erin Hopkins Erincant provide a confidencd interval for it
00590542761 1286416575023 16868638818 0094053065
Log(Total Rents Collected rentable sf) Gym (1=yes 0=no)[Yes] 00684081888 10708023088 708 0096210834 1330244953516 07110237581 04783143732
Log(Total Rents Collected rentable sf) Pool (1=yes 0=no)[Yes] 00088712036 10089106694 089 00916333982 708572236354 00968119025 09231490817
Log(Total Rents Collected rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00836597449 09197441505 -803 01126005752 1404546011941 -07429779537 04587359136
Log(Total Rents Collected rentable sf) Walk Score 0006479206 10065002414 065 0002794287 1413201347208 23187331419 00218436949
Log(Total Rents Collected rentable sf) of Unfurnished Apartments -00008678845 0999132492 -009 00003932429 1359586026848 -22069932213 00289920945
Log(Total Rents Collected rentable sf) Average Apt Unit Size -00002078918 09997921298 -002 00003300088 1382568544162 -06299582685 05297616269
Log(Total Rents Collected rentable sf) Age 00008364704 10008368204 008 00037477419 1387794745176 02231931757 08237133506
Log(Total Rents Collected rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00042999624 10043092206 043 0069466499 142786243042 00618998008 09507291881
Log(Total Actual Collections rentable sf) Intercept 30681072891 215011686418 205012 04070110501 1415072794017 75381424868 0
Log(Total Actual Collections rentable sf) Green Certified (1=yes 0=no)[Yes] 00944491888 10990533175 991 00578900924 1291837028308 16315259643 01052148631
Log(Total Actual Collections rentable sf) Gym (1=yes 0=no)[Yes] 00739127176 10767128233 767 0094247393 1335821297113 07842415071 04342868782
Log(Total Actual Collections rentable sf) Pool (1=yes 0=no)[Yes] 00130418887 10131273051 131 00885804441 654593026021 01472321442 08834013324
Log(Total Actual Collections rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00794248992 0923647384 -764 01101507414 1410305976559 -07210564195 04720684016
Log(Total Actual Collections rentable sf) Walk Score 00065530115 10065745295 066 00027272037 14047408887 24028316857 00175745575
Log(Total Actual Collections rentable sf) of Unfurnished Apartments -0000833078 09991672689 -008 00003850262 1365168778586 -21636916411 00322285543
Log(Total Actual Collections rentable sf) Average Apt Unit Size -00002169447 09997830788 -002 00003233576 1393662972101 -06709126047 05033865944
Log(Total Actual Collections rentable sf) Age 00015178151 10015189676 015 0003670824 1398532082324 04134807595 06798877496
Log(Total Actual Collections rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00249154485 10252284322 252 0067842812 1423468871242 03672525904 07139760316
Log(Management Fee rentable sf) Intercept -02128803278 08082528568 -1917 04254329778 585619088893 -0500385111 06186792644
Log(Management Fee rentable sf) Green Certified (1=yes 0=no)[Yes] 0019865513 10200641454 201 00593086525 1354977267554 03349513461 07381797603
Log(Management Fee rentable sf) Gym (1=yes 0=no)[Yes] -00082052627 09918283086 -082 00958032958 1386068833723 -00856469772 09318706455
Log(Management Fee rentable sf) Pool (1=yes 0=no)[Yes] 00174275629 10175803089 176 00771880661 202180965349 02257805358 08236388274
Log(Management Fee rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00153191452 10154370848 154 01103651216 1423896402644 01388042255 08898009734
Log(Management Fee rentable sf) Walk Score 00070459229 10070708039 071 00028008303 805559990921 25156550566 0013868745
Log(Management Fee rentable sf) of Unfurnished Apartments -0001358177 09986427449 -014 00003916726 1421224837061 -34676335479 00006950146
Log(Management Fee rentable sf) Average Apt Unit Size -00005130214 09994871101 -005 00003375961 1007585612206 -15196307445 0131735624
Log(Management Fee rentable sf) Age 00013613923 10013623194 014 00037151697 1277713043957 03664414822 07146417588
Log(Management Fee rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -00674463479 09347778721 -652 00657081953 1299283630266 -10264525997 03065854809
Log(Total Utilities Rentable sf) Intercept -03748562337 06873880949 -3126 04464274077 1402143832266 -08396801522 04025171642
Log(Total Utilities Rentable sf) Green Certified (1=yes 0=no)[Yes] 00873163337 10912418217 912 0064576715 1358457024729 13521334071 01785794114
Log(Total Utilities Rentable sf) Gym (1=yes 0=no)[Yes] 01175979311 11247917766 1248 01048349264 1384172144229 11217438221 02639135776
Log(Total Utilities Rentable sf) Pool (1=yes 0=no)[Yes] 00115680134 10116351816 116 00928512423 72633370166 01245865221 09011950626
Log(Total Utilities Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00222539972 10225034645 225 01216524447 1425571484619 01829309493 0855112103
Log(Total Utilities Rentable sf) Walk Score 00068649233 10068885409 069 00029812807 1396033046894 23026759291 00227754146
Log(Total Utilities Rentable sf) of Unfurnished Apartments -00006773222 09993229071 -007 00004273761 1401067188346 -15848386198 01152575495
Log(Total Utilities Rentable sf) Average Apt Unit Size -00003442022 0999655857 -003 00003581401 1425120147852 -09610825805 03381384619
Log(Total Utilities Rentable sf) Age 00048795122 10048914364 049 00040600929 1425855030198 12018227897 02314244716
Log(Total Utilities Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -01198355423 08870663096 -1129 00742421382 1413320388001 -16141176043 01087323819
Log(MampR rentable sf) Intercept -09030689887 04053238148 -5947 0437858541 1384008312652 -20624674504 00410332652
Log(MampR rentable sf) Green Certified (1=yes 0=no)[Yes] 00937424436 10982768413 983 00639155521 1376081716673 14666609392 01447499128
Log(MampR rentable sf) Gym (1=yes 0=no)[Yes] 00037664885 10037735907 038 01036113865 1396450691334 00363520715 09710535435
Log(MampR rentable sf) Pool (1=yes 0=no)[Yes] 01319613595 11410642271 1411 00887446725 719561267791 14869778183 0141389644
Log(MampR rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00521515872 09491849716 -508 01197720975 1428478988157 -04354235112 06639122497
Log(MampR rentable sf) Walk Score 00110131704 10110740386 111 00029197236 1385662208531 37719907631 00002391344
Log(MampR rentable sf) of Unfurnished Apartments -00008849955 09991153959 -009 00004219429 1410140957414 -20974297602 0037740228
Log(MampR rentable sf) Average Apt Unit Size 00000594506 10000594524 001 0000353075 1429981472006 01683796031 08665225748
Log(MampR rentable sf) Age 0007624822 1007653965 077 00039990018 142990029884 19066812998 00585678315
Log(MampR rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00598131349 10616381449 616 00727173027 1406732379184 08225433659 04121598071
Log(Subtotal Maintenance rentable sf) Intercept -07997344997 04494482769 -5506 0489167182 1380935604874 -16348899298 01043496414
Log(Subtotal Maintenance rentable sf) Green Certified (1=yes 0=no)[Yes] 01180969773 11253532398 1254 00707986514 1348907221481 16680681771 00976219515
Log(Subtotal Maintenance rentable sf) Gym (1=yes 0=no)[Yes] 00409351965 10417845921 418 01148796072 1378640116803 03563312718 07221372278
Log(Subtotal Maintenance rentable sf) Pool (1=yes 0=no)[Yes] 01515780559 11636691295 1637 0100780712 617547240206 15040383505 01376688864
Log(Subtotal Maintenance rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -0078076377 09248937833 -751 01331885868 1426567369893 -05862092154 05586613077
Log(Subtotal Maintenance rentable sf) Walk Score 0011889233 10119601909 120 00032614069 1377504918879 36454307183 00003773801
Log(Subtotal Maintenance rentable sf) of Unfurnished Apartments -00008153416 09991849907 -008 00004682078 1398534995511 -17414095506 00838107083
Log(Subtotal Maintenance rentable sf) Average Apt Unit Size 00005083484 10005084776 005 00003930253 1428434249161 12934242295 01979520949
Log(Subtotal Maintenance rentable sf) Age 00104106727 10104650523 105 00044515054 1428449267664 23386858733 00207383998
Log(Subtotal Maintenance rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 02440298206 12763823925 2764 0081177414 1402563601749 30061295196 00031359748
Log(Property Insurance rentable sf) Intercept -08916874806 04099633635 -5900 04516384713 1429624291993 -19743390727 00502702101
Log(Property Insurance rentable sf) Green Certified (1=yes 0=no)[Yes] 01239058141 11319092561 1319 0062692592 1281678143933 19764027959 00502564371
Log(Property Insurance rentable sf) Gym (1=yes 0=no)[Yes] -0003522638 09964835593 -035 01024969537 1314939748594 -0034368221 09726356404
Log(Property Insurance rentable sf) Pool (1=yes 0=no)[Yes] 00227423743 10230029538 230 01040308572 1125700947624 02186118131 08273482928
Log(Property Insurance rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00155809876 10157030041 157 01206677853 1368483458399 01291230096 08974498986
Log(Property Insurance rentable sf) Walk Score 00072977866 10073244804 073 00030353828 1428602075435 24042392705 00174877086
Log(Property Insurance rentable sf) of Unfurnished Apartments -00010061941 09989943119 -010 0000420017 1337858380697 -23956034086 00179774093
Log(Property Insurance rentable sf) Average Apt Unit Size -00006330482 09993671521 -006 00003514502 1338864329416 -18012458048 0073914725
Log(Property Insurance rentable sf) Age 00009661099 10009665767 010 00039921418 1338497494964 02420028921 08091483095
Log(Property Insurance rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -00520208103 09493091112 -507 00749301111 1411273861679 -06942577501 04886618561
Log(Total All Expenses Rentable sf) Intercept 17410862845 57035357214 47035 03946731547 141889623796 44114636723 00000201648
Log(Total All Expenses Rentable sf) Green Certified (1=yes 0=no)[Yes] 01231722438 11310792255 1311 00565275641 1341244163534 21789766772 00310802733
Log(Total All Expenses Rentable sf) Gym (1=yes 0=no)[Yes] 00096244971 10096709615 097 00919378962 1370603130567 01046847658 09167789899
Log(Total All Expenses Rentable sf) Pool (1=yes 0=no)[Yes] 01610294116 11747195186 1747 00846545666 801516751987 19021940341 00607378863
Log(Total All Expenses Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00361842114 09644626121 -355 01071504659 1418739239709 -03376953252 07360919324
Log(Total All Expenses Rentable sf) Walk Score 00087371658 10087754463 088 00026426023 1411809488418 33062734678 00011989895
Log(Total All Expenses Rentable sf) of Unfurnished Apartments -00008720665 09991283137 -009 00003752966 1389800988186 -23236728617 00215934791
Log(Total All Expenses Rentable sf) Average Apt Unit Size -0000155413 0999844599 -002 00003145108 1409449329598 -0494142052 06219751067
Log(Total All Expenses Rentable sf) Age 00015666155 10015678433 016 00035695206 1412387206124 04388868073 06614142124
Log(Total All Expenses Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00157918953 10159172462 159 00657593447 1424551160559 02401467861 08105616925
Log(NOI Rentable sf) Intercept 27416093787 155119295878 145119 049686036 1426328429735 55178669889 0000000157
Log(NOI Rentable sf) Green Certified (1=yes 0=no)[Yes] 00932241108 10977077159 977 00701671113 1292740226257 13286012361 01863200879
Log(NOI Rentable sf) Gym (1=yes 0=no)[Yes] 0111280688 11177085902 1177 0114413579 13320261997 09726178396 03325061802
Log(NOI Rentable sf) Pool (1=yes 0=no)[Yes] -00608871507 0940929417 -591 01107002034 838263437204 -05500184174 05837693269
Log(NOI Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -01393113526 08699571229 -1300 01340931949 1397855428856 -10389144106 03006382455
Log(NOI Rentable sf) Walk Score 00045000262 10045101666 045 0003337636 1423581725818 13482675372 01797136327
Log(NOI Rentable sf) of Unfurnished Apartments -00007116645 09992885887 -007 00004679272 1358400867851 -15208872073 01306124688
Log(NOI Rentable sf) Average Apt Unit Size -00001937801 09998062387 -002 00003921685 1372175013367 -04941245389 06220083144
Log(NOI Rentable sf) Age 00034607088 1003466704 035 00044548378 1376438770548 07768428318 04385844885
Log(NOI Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00488697769 10500835966 501 00828565286 1429949688826 05898120243 0556247504
Concessions rentable sf Intercept 0091580439 10959049266 959 12772069558 1418541020247 00717036801 09429387231
Concessions rentable sf Green Certified (1=yes 0=no)[Yes] 01110697527 11174728508 1175 01814813765 1293641668833 06120173584 05416004511
Concessions rentable sf Gym (1=yes 0=no)[Yes] -05094051331 06008529 -3991 02955403985 1336296409402 -17236395961 00870857294
Concessions rentable sf Pool (1=yes 0=no)[Yes] -00886152984 09151975838 -848 02791864929 69298361986 -03174053928 07518903943
Concessions rentable sf Outdoor Common Area (1=yes 0=no)[Yes] 04576291372 15803228114 5803 03455726285 1408379747117 13242632646 01875606951
Concessions rentable sf Walk Score 00120688741 10121419968 121 00085630896 1409791646097 14094064916 01609170757
Concessions rentable sf of Unfurnished Apartments -00007045588 09992956894 -007 00012075862 1364744404696 -05834438741 05605574922
Concessions rentable sf Average Apt Unit Size -00003193903 09996806607 -003 00010135961 1389703034326 -03151061148 07531537379
Concessions rentable sf Age 00130223218 10131074815 131 00115086772 139464867267 11315220311 02597773256
Concessions rentable sf Building Mix (0=multifamily 1 = mixed-use)[Mixed] -03719888249 06893619462 -3106 02129597676 1426034459287 -17467563435 00828326573
Y Term Practical Interpretation increasedecrease Probgt|t| Total Rents Collected Subtotal Maintenance Property Insurance Total Expenses
Log(Total Rents Collected rentable sf) Green Certified (1=yes 0=no)[Yes] 1047
Hopkins Erin Hopkins Erincant provide a confidencd interval for it
009 130837635934 13311489362 01847683215 67633617021
Log(Subtotal Maintenance rentable sf) Green Certified (1=yes 0=no)[Yes] 1254 010 267662568114 08839769656 0489370035 133484365708
Log(Property Insurance rentable sf) Green Certified (1=yes 0=no)[Yes] 1319 005 44887430941 07758149459 02417429373 41261056301
Log(Total All Expenses Rentable sf) Green Certified (1=yes 0=no)[Yes] 1311 003 103066299601 12390720963 00474343371 5067818194
206907297628 2385711159 02072356932 9194606526
318766961061 22633758919 04452208547 128154919371
92461669878 09545425866 01280485733 38832017239
143925847783 15966970999 02187893202 54018796992
176714125561 02006495648 02876780533 58992020575
232897515382 0726170332 00787094673 69517596041
Non-green sf average Financial Green Impact sf Financial green impact differencesf Green impactapt Green impactproperty 51780910259 05203453537 00494304264 22609306646
178353784788 17547710996 02048626598 95961490345
Total Rents Collected sf 1047 2356 2603 $ 247 $ 2189 $ 551683 113769814112 12206875575 03432049607 118156743193
Subtotal Maintenance sf 1254 160 180 $ 020 $ 178 $ 44843 301239240258 10561596849 0204970258 110903994641
Property Insurance sf 1319 036 041 $ 005 $ 42 $ 10601 918584487 08376649832 00914663991 4146546939
Total Expenses sf 1311 852 963 $ 112 $ 990 $ 249535 265183769576 19294929362 03500602344 108447158033
226055903548 13557897255 03988791741 10971207244
334894587007 17970717884 05122599181 124640467569
5542518821 31394328066 04875650977 200668786372
112655732059 13445692884 02031297086 43995867235
129139526152 1168069688 00518980213 4651511283
Avg Apt Size Avg of Units 151098478261 13975 02004130435 51873478261
192155046737 21015937064 02616549091 8357602264
887 252 514840434082 52766375656 02375463267 174375582672
81421971535 06694487849 00899424521 2748686222
30246817244 21594341279 03308639536 97277207077
488523197409 27727612187 0646599696 130752346177
318750561687 38903340576 03852711795 142409683793
310384048163 43119745565 03335824966 138846874251
Green Certification Impacts 48578215663 0350218077 03095574205 23695139998
Dependent Variable Per Square Foot Per Apartment Per Property 192237574111 13374121765 02053242615 84027476689
Total Rents Collected $ 247 $ 2189 $ 551683 62979912788 05343191729 00816289996 45390243161
Subtotal Maintenance $ 020 $ 178 $ 44843 148378959661 14651715909 02004049722 80900580942
Property Insurance $ 005 $ 42 $ 10601 196798863889 11267176542 02499920663 90266351433
Total Expenses $ 112 $ 990 $ 249535 281508617823 09686995581 01118170881 119863342059
58584849751 0106864586 04187933949 44180073736
126756167712 1265684516 02796423029 87538414144
176550549412 24957340254 02343899179 88904473415
252421786235 28063734042 03142238564 133776179357
191875932907 13637043757 03440324697 987034902
159508092934 13109374847 02091697013 98967206196
342739845467 09614092295 03929892961 129755936769
192510355167 32804720611 01743191858 134560085596
257829360401 13666691797 01527100011 56329812754
358622391559 14251973427 03437553732 101098436889
217744157919 24046486586 01864745418 68711016642
222112557003 22022148788 07879755849 97807110765
202535763689 04548110217 10003436751 127886698915
155879815194 23816051158 04816227091 119033557201
11066078843 23413202706 06413902496 81812176347
151924709838 18873401649 05711000232 105403544539
163604010853 16052949068 02714509557 82030431823
133974400047 11018949984 03560839935 59096477943
133528448829 13647819036 02538331588 66159357367
187400008959 16889788117 030870974 115752907975
155246293804 18308314258 03852380906 116657595614
34082816218 05447090935 09838411173 13641308574
201220131342 11192465065 03188344246 93786154242
139108532616 13313944086 03887737775 69698295902
191656858207 15717927807 06002115982 119380046581
200921599083 12597596226 03267106334 82474085087
57536742874 00453219212 00300766262 10569757217
120548294116 11607892527 03275736725 74435143659
123188534664 1404028789 03510968138 78762080781
59543029729 0899713372 01652374748 28143456117
144215639215 19193238703 02899837711 67370054173
340046684831 19619729415 04325060698 120608464163
208244777176 28183367899 037 73104355304
234349752613 19432301154 0351134881 107484594815
136370903402 17029933791 01989576534 50899930579
149968383478 14209793679 02735642323 63813718869
81145819519 0920766851 00474564037 30674168785
226307446224 12529424404 02036192613 69235920453
132787305462 08047482453 01232346659 41808605432
251519090044 21798380428 0376480317 80396623551
492269138212 12196979039 02981674812 128316943664
107177195916 08016374211 0113808252 40618650625
128238528886 10751217142 01843492552 6476830365
57582611557 11908427448 0874334536 134004066235
43835651097 34822540694 03904989384 146763800425
205787355386 1429219053 02624404931 5321754079
463148430769 07709353846 06150738462 101617384615
377949548611 28670972222 08296944444 109743576389
360087564176 03501711352 18551055334 110041072447
18371979614 18232783153 07267294459 61184870906
678035276363 13443501226 10431616676 167533484248
56073359244 10138647576 01591318768 51440832304
189431314891 05101557395 03677787459 41010945328
383550342095 23244425576 04086557393 98151764619
115544349685 03310482653 037 40344851625
7552318246 0955023726 01241945851 24368780848
133083101881 19451300341 00938801919 48731378614
122308363087 13760780005 01439989014 45100624828
84908269322 10857071617 01155797799 36082570734
263116048067 10733627163 041902582 60372732395
76183752731 09621126305 01069925907 26170373239
172494454001 11781600332 03919686814 59016193131
342076422068 22741368431 03165622465 73557085549
215534567901 1485497076 02210396361 49118778428
314593058927 23798916958 02751353803 121998559501
586535191691 21029046354 02109026171 91979074439
138093310078 14595490221 02142269839 44286283792
227203645682 04584630891 05737147639 93344680527
572754455737 17713614269 01642228739 92545561671
60603870458 04541110154 01180884676 15902125521
358781017266 33847643857 06854022643 139200146946
342079216629 24477703832 0463059603 67166143833
651201231187 51019950176 12529595849 222094150831
369798669702 21700816928 0444474205 101410502507
421838575952 28823013788 05443272608 151399739597
626095189209 20826275416 04947814184 184651096472
214882899762 25034709712 06359683889 109534721722
274037120739 26718517094 037 67504928595
252667703737 25588590114 05379535858 109041874345
59253832495 01099622961 04620367393 19262874847
150862851538 18053109961 07398729558 71488607075
111196959019 00928417366 037 09427894164
667360269858 07921160191 02989609494 104670639024
2356 160 036 852
Log(Vacancies amp Rent Loss rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified -00318 00916 -00313 07289
Fitness Center 01008 01480 01060 04969
Pool 01126 01133 01192 03253
Outdoor Common Area 02673 01691 03064 01162
Walk Score 00102 00041 00102 00140
of Unfurnished Apartments -00003 00006 -00003 06769
Average Apt Unit Size -00003 00005 -00003 06067
Age -00026 00056 -00026 06428
Building Mix 00099 01008 00099 09219
Note R2 = 645
Log(Total Rents Collected rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00996 00591 01047 00941
Fitness Center 00684 00962 00708 04783
Pool 00089 00916 00089 09231
Outdoor Common Area -00837 01126 -00803 04587
Walk Score 00065 00028 00065 00218
of Unfurnished Apartments -00009 00004 -00009 00290
Average Apt Unit Size -00002 00003 -00002 05298
Age 00008 00037 00008 08237
Building Mix 00043 00695 00043 09507
Note R2 = 3318
Log(Total Actual Collections rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00944 00579 00991 01052
Fitness Center 00739 00942 00767 04343
Pool 00130 00886 00131 08834
Outdoor Common Area -00794 01102 -00764 04721
Walk Score 00066 00027 00066 00176
of Unfurnished Apartments -00008 00004 -00008 00322
Average Apt Unit Size -00002 00003 -00002 05034
Age 00015 00037 00015 06799
Building Mix 00249 00678 00252 07140
Note R2 = 3219
Log(Management Fee rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00199 00593 00201 07382
Fitness Center -00082 00958 -00082 09319
Pool 00174 00772 00176 08236
Outdoor Common Area 00153 01104 00154 08898
Walk Score 00070 00028 00071 00139
of Unfurnished Apartments -00014 00004 -00014 00007
Average Apt Unit Size -00005 00003 -00005 01317
Age 00014 00037 00014 07146
Building Mix -00674 00657 -00652 03066
Note R2 = 1697
Log(Total Utilities Rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00873 00646 00912 01786
Fitness Center 01176 01048 01248 02639
Pool 00116 00929 00116 09012
Outdoor Common Area 00223 01217 00225 08551
Walk Score 00069 00030 00069 00228
of Unfurnished Apartments -00007 00004 -00007 01153
Average Apt Unit Size -00003 00004 -00003 03381
Age 00049 00041 00049 02314
Building Mix -01198 00742 -01129 01087
Note R2 = 2171
Log(MampR rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00937 00639 00983 01447
Fitness Center 00038 01036 00038 09711
Pool 01320 00887 01411 01414
Outdoor Common Area -00522 01198 -00508 06639
Walk Score 00110 00029 00111 00002
of Unfurnished Apartments -00009 00004 -00009 00377
Average Apt Unit Size 00001 00004 00001 08665
Age 00076 00040 00077 00586
Building Mix 00598 00727 00616 04122
Note R2 = 2620
Log(Subtotal Maintenance rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 01181 00708 01254 00976
Fitness Center 00409 01149 00418 07221
Pool 01516 01008 01637 01377
Outdoor Common Area -00781 01332 -00751 05587
Walk Score 00119 00033 00120 00004
of Unfurnished Apartments -00008 00005 -00008 00838
Average Apt Unit Size 00005 00004 00005 01980
Age 00104 00045 00105 00207
Building Mix 02440 00812 02764 00031
Note R2 = 3218
Log(Property Insurance rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 01239 00627 01319 00503
Fitness Center -00035 01025 -00035 09726
Pool 00227 01040 00230 08273
Outdoor Common Area 00156 01207 00157 08974
Walk Score 00073 00030 00073 00175
of Unfurnished Apartments -00010 00004 -00010 00180
Average Apt Unit Size -00006 00004 -00006 00739
Age 00010 00040 00010 08091
Building Mix -00520 00749 -00507 04887
Note R2 = 3902
Log(Total All Expenses Rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 01232 00565 01311 00311
Fitness Center 00096 00919 00097 09168
Pool 01610 00847 01747 00607
Outdoor Common Area -00362 01072 -00355 07361
Walk Score 00087 00026 00088 00012
of Unfurnished Apartments -00009 00004 -00009 00216
Average Apt Unit Size -00002 00003 -00002 06220
Age 00016 00036 00016 06614
Building Mix 00158 00658 00159 08106
Note R2 = 2943
Log(NOI Rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00932 00702 00977 01863
Fitness Center 01113 01144 01177 03325
Pool -00609 01107 -00591 05838
Outdoor Common Area -01393 01341 -01300 03006
Walk Score 00045 00033 00045 01797
of Unfurnished Apartments -00007 00005 -00007 01306
Average Apt Unit Size -00002 00004 -00002 06220
Age 00035 00045 00035 04386
Building Mix 00489 00829 00501 05562
Note R2 = 3669
Concessions rentable sf
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 01111 01815 01175 05416
Fitness Center -05094 02955 -03991 00871
Pool -00886 02792 -00848 07519
Outdoor Common Area 04576 03456 05803 01876
Walk Score 00121 00086 00121 01609
of Unfurnished Apartments -00007 00012 -00007 05606
Average Apt Unit Size -00003 00010 -00003 07532
Age 00130 00115 00131 02598
Building Mix -03720 02130 -03106 00828
Note R2 = 2402
Y Term ~Bias Estimate EXP estimate Practical Interpretation increasedecrease Std Error DFDen t Ratio Probgt|t| Estimate Std Error Practical Interpretation Significance
Log(Vacancies amp Rent Loss rentable sf) Intercept 00893029328 10934118365 934 06116337119 1083785495375 01460072116 08841869197 Green Cert
Log(Vacancies amp Rent Loss rentable sf) Green Certified (1=yes 0=no)[Yes] -0031825668 09686754385 -313 009164153 139931853592 -03472843369 07288994904 Gym
Log(Vacancies amp Rent Loss rentable sf) Gym (1=yes 0=no)[Yes] 01007730854 11060256399 1060 01479591517 1412043780621 0681087207 0496931725
Log(Vacancies amp Rent Loss rentable sf) Pool (1=yes 0=no)[Yes] 01125884395 11191712315 1192 0113345701 506840641957 09933190097 032527325
Log(Vacancies amp Rent Loss rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 02672618233 13063824429 3064 01690835398 1429144230275 15806495624 01161688791
Log(Vacancies amp Rent Loss rentable sf) Walk Score 00101642302 10102160615 102 00040763935 1219632686439 24934369735 00139912712
Log(Vacancies amp Rent Loss rentable sf) of Unfurnished Apartments -0000250981 09997490505 -003 00006011213 142449410245 -04175214322 06769256723
Log(Vacancies amp Rent Loss rentable sf) Average Apt Unit Size -00002575258 09997425074 -003 00004990119 1315989429881 -05160713681 06066705884
Log(Vacancies amp Rent Loss rentable sf) Age -00026152008 09973882158 -026 00056263988 1391583522195 -04648090107 06427946925
Log(Vacancies amp Rent Loss rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00099001013 10099492694 099 0100821633 1384002310718 00981942166 09219201454
Log(Total Rents Collected rentable sf) Intercept 30195696974 204824761253 194825 04164909532 1420770663705 72500246992 0
Log(Total Rents Collected rentable sf) Green Certified (1=yes 0=no)[Yes] 00996165255 11047471944 1047
Hopkins Erin Hopkins Erincant provide a confidencd interval for it
00590542761 1286416575023 16868638818 0094053065 0099617 00590542761 1047
Log(Total Rents Collected rentable sf) Gym (1=yes 0=no)[Yes] 00684081888 10708023088 708 0096210834 1330244953516 07110237581 04783143732
Log(Total Rents Collected rentable sf) Pool (1=yes 0=no)[Yes] 00088712036 10089106694 089 00916333982 708572236354 00968119025 09231490817
Log(Total Rents Collected rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00836597449 09197441505 -803 01126005752 1404546011941 -07429779537 04587359136
Log(Total Rents Collected rentable sf) Walk Score 0006479206 10065002414 065 0002794287 1413201347208 23187331419 00218436949
Log(Total Rents Collected rentable sf) of Unfurnished Apartments -00008678845 0999132492 -009 00003932429 1359586026848 -22069932213 00289920945 variance components to talk about how much of the total error that is attribuatle to city
Log(Total Rents Collected rentable sf) Average Apt Unit Size -00002078918 09997921298 -002 00003300088 1382568544162 -06299582685 05297616269
Log(Total Rents Collected rentable sf) Age 00008364704 10008368204 008 00037477419 1387794745176 02231931757 08237133506
Log(Total Rents Collected rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00042999624 10043092206 043 0069466499 142786243042 00618998008 09507291881
Log(Total Actual Collections rentable sf) Intercept 30681072891 215011686418 205012 04070110501 1415072794017 75381424868 0
Log(Total Actual Collections rentable sf) Green Certified (1=yes 0=no)[Yes] 00944491888 10990533175 991 00578900924 1291837028308 16315259643 01052148631
Log(Total Actual Collections rentable sf) Gym (1=yes 0=no)[Yes] 00739127176 10767128233 767 0094247393 1335821297113 07842415071 04342868782
Log(Total Actual Collections rentable sf) Pool (1=yes 0=no)[Yes] 00130418887 10131273051 131 00885804441 654593026021 01472321442 08834013324
Log(Total Actual Collections rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00794248992 0923647384 -764 01101507414 1410305976559 -07210564195 04720684016
Log(Total Actual Collections rentable sf) Walk Score 00065530115 10065745295 066 00027272037 14047408887 24028316857 00175745575
Log(Total Actual Collections rentable sf) of Unfurnished Apartments -0000833078 09991672689 -008 00003850262 1365168778586 -21636916411 00322285543
Log(Total Actual Collections rentable sf) Average Apt Unit Size -00002169447 09997830788 -002 00003233576 1393662972101 -06709126047 05033865944
Log(Total Actual Collections rentable sf) Age 00015178151 10015189676 015 0003670824 1398532082324 04134807595 06798877496
Log(Total Actual Collections rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00249154485 10252284322 252 0067842812 1423468871242 03672525904 07139760316
Log(Management Fee rentable sf) Intercept -02128803278 08082528568 -1917 04254329778 585619088893 -0500385111 06186792644
Log(Management Fee rentable sf) Green Certified (1=yes 0=no)[Yes] 0019865513 10200641454 201 00593086525 1354977267554 03349513461 07381797603
Log(Management Fee rentable sf) Gym (1=yes 0=no)[Yes] -00082052627 09918283086 -082 00958032958 1386068833723 -00856469772 09318706455
Log(Management Fee rentable sf) Pool (1=yes 0=no)[Yes] 00174275629 10175803089 176 00771880661 202180965349 02257805358 08236388274
Log(Management Fee rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00153191452 10154370848 154 01103651216 1423896402644 01388042255 08898009734
Log(Management Fee rentable sf) Walk Score 00070459229 10070708039 071 00028008303 805559990921 25156550566 0013868745
Log(Management Fee rentable sf) of Unfurnished Apartments -0001358177 09986427449 -014 00003916726 1421224837061 -34676335479 00006950146
Log(Management Fee rentable sf) Average Apt Unit Size -00005130214 09994871101 -005 00003375961 1007585612206 -15196307445 0131735624
Log(Management Fee rentable sf) Age 00013613923 10013623194 014 00037151697 1277713043957 03664414822 07146417588
Log(Management Fee rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -00674463479 09347778721 -652 00657081953 1299283630266 -10264525997 03065854809
Log(Total Utilities Rentable sf) Intercept -03748562337 06873880949 -3126 04464274077 1402143832266 -08396801522 04025171642
Log(Total Utilities Rentable sf) Green Certified (1=yes 0=no)[Yes] 00873163337 10912418217 912 0064576715 1358457024729 13521334071 01785794114
Log(Total Utilities Rentable sf) Gym (1=yes 0=no)[Yes] 01175979311 11247917766 1248 01048349264 1384172144229 11217438221 02639135776
Log(Total Utilities Rentable sf) Pool (1=yes 0=no)[Yes] 00115680134 10116351816 116 00928512423 72633370166 01245865221 09011950626
Log(Total Utilities Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00222539972 10225034645 225 01216524447 1425571484619 01829309493 0855112103
Log(Total Utilities Rentable sf) Walk Score 00068649233 10068885409 069 00029812807 1396033046894 23026759291 00227754146
Log(Total Utilities Rentable sf) of Unfurnished Apartments -00006773222 09993229071 -007 00004273761 1401067188346 -15848386198 01152575495
Log(Total Utilities Rentable sf) Average Apt Unit Size -00003442022 0999655857 -003 00003581401 1425120147852 -09610825805 03381384619
Log(Total Utilities Rentable sf) Age 00048795122 10048914364 049 00040600929 1425855030198 12018227897 02314244716
Log(Total Utilities Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -01198355423 08870663096 -1129 00742421382 1413320388001 -16141176043 01087323819
Log(MampR rentable sf) Intercept -09030689887 04053238148 -5947 0437858541 1384008312652 -20624674504 00410332652
Log(MampR rentable sf) Green Certified (1=yes 0=no)[Yes] 00937424436 10982768413 983 00639155521 1376081716673 14666609392 01447499128
Log(MampR rentable sf) Gym (1=yes 0=no)[Yes] 00037664885 10037735907 038 01036113865 1396450691334 00363520715 09710535435
Log(MampR rentable sf) Pool (1=yes 0=no)[Yes] 01319613595 11410642271 1411 00887446725 719561267791 14869778183 0141389644
Log(MampR rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00521515872 09491849716 -508 01197720975 1428478988157 -04354235112 06639122497
Log(MampR rentable sf) Walk Score 00110131704 10110740386 111 00029197236 1385662208531 37719907631 00002391344
Log(MampR rentable sf) of Unfurnished Apartments -00008849955 09991153959 -009 00004219429 1410140957414 -20974297602 0037740228
Log(MampR rentable sf) Average Apt Unit Size 00000594506 10000594524 001 0000353075 1429981472006 01683796031 08665225748
Log(MampR rentable sf) Age 0007624822 1007653965 077 00039990018 142990029884 19066812998 00585678315
Log(MampR rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00598131349 10616381449 616 00727173027 1406732379184 08225433659 04121598071
Log(Subtotal Maintenance rentable sf) Intercept -07997344997 04494482769 -5506 0489167182 1380935604874 -16348899298 01043496414
Log(Subtotal Maintenance rentable sf) Green Certified (1=yes 0=no)[Yes] 01180969773 11253532398 1254 00707986514 1348907221481 16680681771 00976219515
Log(Subtotal Maintenance rentable sf) Gym (1=yes 0=no)[Yes] 00409351965 10417845921 418 01148796072 1378640116803 03563312718 07221372278
Log(Subtotal Maintenance rentable sf) Pool (1=yes 0=no)[Yes] 01515780559 11636691295 1637 0100780712 617547240206 15040383505 01376688864
Log(Subtotal Maintenance rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -0078076377 09248937833 -751 01331885868 1426567369893 -05862092154 05586613077
Log(Subtotal Maintenance rentable sf) Walk Score 0011889233 10119601909 120 00032614069 1377504918879 36454307183 00003773801
Log(Subtotal Maintenance rentable sf) of Unfurnished Apartments -00008153416 09991849907 -008 00004682078 1398534995511 -17414095506 00838107083
Log(Subtotal Maintenance rentable sf) Average Apt Unit Size 00005083484 10005084776 005 00003930253 1428434249161 12934242295 01979520949
Log(Subtotal Maintenance rentable sf) Age 00104106727 10104650523 105 00044515054 1428449267664 23386858733 00207383998
Log(Subtotal Maintenance rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 02440298206 12763823925 2764 0081177414 1402563601749 30061295196 00031359748
Log(Property Insurance rentable sf) Intercept -08916874806 04099633635 -5900 04516384713 1429624291993 -19743390727 00502702101
Log(Property Insurance rentable sf) Green Certified (1=yes 0=no)[Yes] 01239058141 11319092561 1319 0062692592 1281678143933 19764027959 00502564371
Log(Property Insurance rentable sf) Gym (1=yes 0=no)[Yes] -0003522638 09964835593 -035 01024969537 1314939748594 -0034368221 09726356404
Log(Property Insurance rentable sf) Pool (1=yes 0=no)[Yes] 00227423743 10230029538 230 01040308572 1125700947624 02186118131 08273482928
Log(Property Insurance rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00155809876 10157030041 157 01206677853 1368483458399 01291230096 08974498986
Log(Property Insurance rentable sf) Walk Score 00072977866 10073244804 073 00030353828 1428602075435 24042392705 00174877086
Log(Property Insurance rentable sf) of Unfurnished Apartments -00010061941 09989943119 -010 0000420017 1337858380697 -23956034086 00179774093
Log(Property Insurance rentable sf) Average Apt Unit Size -00006330482 09993671521 -006 00003514502 1338864329416 -18012458048 0073914725
Log(Property Insurance rentable sf) Age 00009661099 10009665767 010 00039921418 1338497494964 02420028921 08091483095
Log(Property Insurance rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -00520208103 09493091112 -507 00749301111 1411273861679 -06942577501 04886618561
Log(Total All Expenses Rentable sf) Intercept 17410862845 57035357214 47035 03946731547 141889623796 44114636723 00000201648
Log(Total All Expenses Rentable sf) Green Certified (1=yes 0=no)[Yes] 01231722438 11310792255 1311 00565275641 1341244163534 21789766772 00310802733
Log(Total All Expenses Rentable sf) Gym (1=yes 0=no)[Yes] 00096244971 10096709615 097 00919378962 1370603130567 01046847658 09167789899
Log(Total All Expenses Rentable sf) Pool (1=yes 0=no)[Yes] 01610294116 11747195186 1747 00846545666 801516751987 19021940341 00607378863
Log(Total All Expenses Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00361842114 09644626121 -355 01071504659 1418739239709 -03376953252 07360919324
Log(Total All Expenses Rentable sf) Walk Score 00087371658 10087754463 088 00026426023 1411809488418 33062734678 00011989895
Log(Total All Expenses Rentable sf) of Unfurnished Apartments -00008720665 09991283137 -009 00003752966 1389800988186 -23236728617 00215934791
Log(Total All Expenses Rentable sf) Average Apt Unit Size -0000155413 0999844599 -002 00003145108 1409449329598 -0494142052 06219751067
Log(Total All Expenses Rentable sf) Age 00015666155 10015678433 016 00035695206 1412387206124 04388868073 06614142124
Log(Total All Expenses Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00157918953 10159172462 159 00657593447 1424551160559 02401467861 08105616925
Log(NOI Rentable sf) Intercept 27416093787 155119295878 145119 049686036 1426328429735 55178669889 0000000157
Log(NOI Rentable sf) Green Certified (1=yes 0=no)[Yes] 00932241108 10977077159 977 00701671113 1292740226257 13286012361 01863200879
Log(NOI Rentable sf) Gym (1=yes 0=no)[Yes] 0111280688 11177085902 1177 0114413579 13320261997 09726178396 03325061802
Log(NOI Rentable sf) Pool (1=yes 0=no)[Yes] -00608871507 0940929417 -591 01107002034 838263437204 -05500184174 05837693269
Log(NOI Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -01393113526 08699571229 -1300 01340931949 1397855428856 -10389144106 03006382455
Log(NOI Rentable sf) Walk Score 00045000262 10045101666 045 0003337636 1423581725818 13482675372 01797136327
Log(NOI Rentable sf) of Unfurnished Apartments -00007116645 09992885887 -007 00004679272 1358400867851 -15208872073 01306124688
Log(NOI Rentable sf) Average Apt Unit Size -00001937801 09998062387 -002 00003921685 1372175013367 -04941245389 06220083144
Log(NOI Rentable sf) Age 00034607088 1003466704 035 00044548378 1376438770548 07768428318 04385844885
Log(NOI Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00488697769 10500835966 501 00828565286 1429949688826 05898120243 0556247504
Concessions rentable sf Intercept 0091580439 10959049266 959 12772069558 1418541020247 00717036801 09429387231
Concessions rentable sf Green Certified (1=yes 0=no)[Yes] 01110697527 11174728508 1175 01814813765 1293641668833 06120173584 05416004511
Concessions rentable sf Gym (1=yes 0=no)[Yes] -05094051331 06008529 -3991 02955403985 1336296409402 -17236395961 00870857294
Concessions rentable sf Pool (1=yes 0=no)[Yes] -00886152984 09151975838 -848 02791864929 69298361986 -03174053928 07518903943
Concessions rentable sf Outdoor Common Area (1=yes 0=no)[Yes] 04576291372 15803228114 5803 03455726285 1408379747117 13242632646 01875606951
Concessions rentable sf Walk Score 00120688741 10121419968 121 00085630896 1409791646097 14094064916 01609170757
Concessions rentable sf of Unfurnished Apartments -00007045588 09992956894 -007 00012075862 1364744404696 -05834438741 05605574922
Concessions rentable sf Average Apt Unit Size -00003193903 09996806607 -003 00010135961 1389703034326 -03151061148 07531537379
Concessions rentable sf Age 00130223218 10131074815 131 00115086772 139464867267 11315220311 02597773256
Concessions rentable sf Building Mix (0=multifamily 1 = mixed-use)[Mixed] -03719888249 06893619462 -3106 02129597676 1426034459287 -17467563435 00828326573
Page 12: AUGUST 21- 23, 2018 • CLEVELAND, OHIO€¦ · Business Case 2.0: New Research Around High Performing Buildings Thursday 23 rd, 2018 10:30am – 12:00pm

Default risk and source EUI (cont)

Coefficient Estimate Standard Error

Intercept -000538 011067Scaled Source EUI 000183 0000369

Origination Loan-to-Value Ratio 000263 000117

Coupon Spread to 10 Year Treasury 000751 0040

Electricity Price Gap 000003 000001

Time to Maturity on Balloon -000203 000068

Origination Year Fixed Effects Yes

339 observations R2 = 1768 plt01 plt005 plt001

Scaled Source EUI (Office + MU + Retail) ndash Linear probability model

12

What are the impacts on specific loansCollaborate with lenders to 1 Demonstrate impact of energy use and price on specific mortgage loans2 Develop recommendations

Approach Compile info from Appraisals PCAs

other sources Estimate source EUI variations

Simulation and empirical approaches

Compute electricity price gap using forward curves

Compute default risk impact due to source EUI and electricity price gap

13

Case Studies

Denver Office

Denver Hotel

San Francisco Multi-family

San Jose Office Sonoma Office

Denver Office ndash energy use and default riskFacilities Management factors HVAC schedule Thermostat setback Supply air temp control VAV min flow control Economizer controls Lighting controlsLevels good average poor

Occupancy factors Occupant density Occupant schedule Plug load density Plug load controlsLevels goodlow average poorhigh

CaseFacilities mgmtfactors

OccupancyFactors

Source EUI change ()

Default risk change (bp)

1 Good GoodLow -54 -248

2 Good Ave -33 -127

3 Ave Ave - -

4 Good PoorHigh +4 +12

5 Poor GoodLow +64 +158

6 Poor Ave +76 +181

7 Poor PoorHigh +132 +268

15

Denver Office ndash energy price and default risk

16

Case Studies ndash summary of risks impacts

Building Source EUI variation ()

Default rate variation (bp)

Default rate variation relative to TREPP avg ()

Denver Office -54 to +132 -248 to +268 -31 to +34

Sonoma Office -40 to +183 -161 to +331 -20 to +41

San Jose Office -62 to +119 -308 to +249 -39 to +31

Denver Hotel -11 to +17 -37 to +49 -5 to +6

San Francisco Multi-family -20 to +26 -72 to +74 -9 to +9

Wholesale price region Default rate variation (bp) Default rate variation relative to TREPP avg ()

Denver area +159 to +501 +20 to +63

Northern California -49 to +705 -6 to +88

Compare to TREPP average default rate of 800bp

17

Case Studies ndash business impactThese results showing the impact of energy on default risk are clearly meaningful I dont currently consider energy efficiency when making a loan and seeing this makes me think I would want to ask about itrdquo

I would like to apply these findings but would want an easy way to use it A simple score or ratio for energy risk would be good In fact I would be interested to pilot test it

Keith Hanley Silicon Valley Bank

18

Looking Ahead

Looking Ahead ndash our visionTo have energy factors fully and routinely incorporated in commercial mortgage valuation accelerating demand for buildings with lower energy risk

20

Show that energy matters

Develop and pilot

interventions Disseminate

best practices Institutionalize

Analysis of energy impacts

Long term

Case studies on actual mortgage loans

Protocols and tools for lenders and owners

Industry Standards

Scope of current effort

RecommendationsLenders Ask owners to provide info on energy cost range

Account for variations in energy use and energy price Could be done as part of Property Condition Assessment Can reference ASTM standard

Incorporate energy risk factor into underwriting and terms eg Interest rate discount for lower risk

Offer additional loan proceeds for EE investments

Owners Ask lenders to account for energy efficiency when setting mortgage

terms Provide data on energy costs to lender

Historical and anticipated In appraisal andor PCA

21

Thank you

Money Matters Exploring the Financial Impacts of Green Certifications in the Multifamily Rental Sector

Erin A Hopkins PhD CAPS LEED Green AssociateAssistant Professor of Property Management

bull Sample 153 properties from 2 of National Multifamily Housing Councilrsquos 2016 50 Largest Apartment Managers

bull Green-certified 2288 of properties (35 properties)bull Methodology Multiple Regression Analysisbull Controls Location Fitness Center Pool Outdoor Common Area Walk

Score of Unfurnished Apartments Average Apartment Unit Size Age Building Mix

bull Limitations Building class not directly taken into account

Overview of Research

Certifications Represented in Sample

Austin Energy Green Buildingreg (AEGB)

Rating System(3)

ENERGY STARreg

(1)

Florida Green Building Coalition

(FGBC)(1)

GreenPoint Rated(4)

LEEDreg

(16)

National Green Building Standardtrade

(NGBS)(11)

Properties by City

2

4

2 2 21 1

3

1 1 12 2

1 1 1

6

1 1

8

11

4

6

14

3

1

19

3

1 1

7

43

2

9

18

2 2

0

2

4

6

8

10

12

14

16

18

20

Summary Statistics of City Datan=153

Summary Satistics of City Data Green Bldgs Summary Satistics of City Data Non-Green Comparables

Descriptive

97

71

100

31

89

69

93

24

0

20

40

60

80

100

120

Fitness Center Pool Outdoor Common Area Mixed-Use Property

Summary Statistics of Green vs Non-Green Propertiesn = 153

Green Non-Green

Descriptive

73228

866

2011

74

259

894

2003

0

500

1000

1500

2000

2500

Walk Score Average Number of Units Average Apt Unit Size (sf) Age

Summary Statistics of Green vs Non-Green Properties

n = 153

Green Non-Green

Findings

Total Rents Collected1047

Total Maintenance1254

Property Insurance1319

Total Expenses1311

Higher rents and expenses

Financial Impacts of Green

Dependent Variable Per Square Foot Per Apartment Per PropertyTotal Rents Collected 247$ 2189$ 551683$ Subtotal Maintenance 020$ 178$ 44843$ Property Insurance 005$ 42$ 10601$ Total Expenses 112$ 990$ 249535$

Coefficients Standard Errors

Tables

Summary of Green Impacts

Summary Table

Discussion

bull Assume efficient operations will offset the higher rent

bull Philanthropic motivesbull Prestige motivesbull Green buildings tend to be newermore

likely to offer the more sought-after amenities and finishes

bull Tend to be in higher-income areaslikely have higher rents

Different motivations for paying higher rent may be in

play

Discussion

Higher Operating Expenses a Surprise

Does not align with much of the existing researchhellipbut no research on effects of green certification on total operating expenses within multifamily rental sector

Many of the certifications represented in this study focus on the design phase of the property vs the operations and maintenance phase

And although promotion of sustainability is on the rise in the multifamily housing sector staff may remain unfamiliar with the unique operations and maintenance of green

buildings

Final Thoughts

Apartment homes represent $13 trillion to the US economy and 5 million new rental households are expected by 2023 (National Multifamily Housing Council 2015)

Upfront capital constraints regulatory issues knowledge limitations and marketing concerns may diminish the attractiveness of multifamily rental green building

certification if not properly managed

Most studies focus on office sector andor strictly rents or property value

This study begins to look at the multifamily rental sector and offer a more comprehensive analysis

Further research is needed with larger datasets to understand effects of green certification on income statement components in the apartment industry as NOI

ultimately determines property market valueOptimism that this study can be the impetus for further research contributions on the

financial environmental and resident satisfaction impacts of green practices and certifications on the multifamily rental sector

Contact informationErin A Hopkinserinz1vtedu

Acknowledgementsbull Todd Feist Sustainability Program Manager at The Institute of

Real Estate Management (IREMreg) for his assistance with this research project

bull Yardi and IREMreg for the grant awarded to support this researchbull The two property management companies for sharing their data

BUILDING PERFORMANCE

UNLOCKINGVALUE

New DOE-driven Research Around High Performing Buildings

AUGUST 23 2018

ANDREW WHITEASSOCIATE MANAGERawhiteretechadvisorscom

2015-2016 bull Research design working group pilot study data lab

2017 bull Connect to Real Estate Research Institute (RERI) Literature review and gap analysis

2018 bull Research agenda request for proposals research project selection and execution

Context Setting ndash DOE Research EffortWhat are the impacts of energy efficiency and high-performance building

features on financial performance of commercial real estate

RERIrsquos mission is to encourage and reward research on real estate as an investment and as an asset class that is both academically rigorous and of value to the institutional real estate investment profession In addition RERI serves to provide a forum through which the real estate academic professional and regulatory communities can interact facilitating the exchange of insights amongst these stakeholders

RERI Overview

Sponsors

Build upon DOErsquos Review of Studies in the Market

bull Focus explicitly on peer-reviewed papers Gap analysis of existing research to

identifybull Questions that have already been

sufficiently provenbull Holes in existing body of research

Academic Inputbull Guidance on which studies to includebull Suggestions for how to conduct analysis

Literature Review Objectives

Literature Review Results

LEED

ENER

GY

ST

AR

labe

l

ENER

GY

ST

AR

sc

ore

Ener

gy u

se

BR

EEA

M

Ener

gy

Perf

orm

anc

e Cer

tific

ates

(U

K)

BO

MA

B

EST

Wal

kabi

lity

Non

-ene

rgy

gree

n fe

atur

es

Oth

er

Rent 20 18 1 2 2 2 1 1 1Rent concessions 1 1 1Sales price 9 11 1 1 1 1Assessed value 2 2Market value 1 2 1 2 1Occupancy 10 9 1Lease renewals 1 1 1Service charge 1Operating cost 2 3Energy cost 2 3Tenant satisfaction 1 1 1Sales time 1 1Default rate 2 1Capitalization rate 1 2 2 1Net operating income 1 1 1Loan to value ratio 1 1Debt service coverage ratio 1 1Worker productivity 1 1Other 5 4 1 4 2 2

There is considerable evidence that green building certifications correlate with increased economic value primarily via higher rents and sales prices

bull How do we move beyond certification to analyze performancebull Correlation vs Causation

bull What is driving added value Is it green features and efficiency the green labels themselves or other desirable features often included in certified buildings

Panel studies could help reduce some of the uncertainty and noise Full results presented at ACEEE Summer Study

bull Raising the Rent Premium Moving Green Building Research Beyond Certifications and Rent

bull Cindy Zhu Andrew White Paul Mathew Jeff Deason Philip Coleman

Literature Review Results

Research Agenda Core QuestionldquoHow does ltenergygreen metricgt affect ltfinancial value metricgtrdquo

EnergyGreen Metric

Site energy use or EUI

Source energy use or EUI

Energy cost or costsf

ENERGY STAR score

ENERGY STAR label

Green Building Certification (LEED BOMA 360)

Green Building Certification level (eg LEED Silver Gold)

Financial Value Metric

VacancyOccupancy Sales Price

Leasing Velocity (absorption speed of sales leasing)

Regulatory amp Compliance Risk

Tenant Renewals Insurance (rates ability)

Tenant Satisfaction Default Risk

Rental Income and Rent Concessions Debt Service Coverage Ratio

Marketing Costs Access to Funding

Utility Costs Maintenance OpEx Interest Rates

Obsolescence Reserves

Capitalization Rates

12 proposals received 5 projects selected Criteria

bull Department of Energy goals

bull Impact on Commercial Real Estate (CRE) Industry

bull Feasibility and Interest

bull Quality and Validity

Proposal Reviews

Jim Clayton Avis Devine (York University) and Rogier Holtermans(University of Guelph) Analyzing four types of energy

efficiency interventions on financial components that impact property-level NOI

bull How do interventions impact different aspects of building operations and their subsequent financial impact

Beyond Environmental Building Certification The Impact of Environmental Interventions on Commercial Real Estate Operations

Piet Eichholtz and Nils Kok (Maastricht University) and RogierHoltermans (University of Guelph) Three key questions

bull How is environmental building certification related to commercial building energy consumption

bull How does aging affect the energy consumption of the commercial building stock

bull To what extent do specific energy efficiency investments affect energy consumption in commercial real estate

The Dynamics of Energy Consumption in Commercial Real Estate

Sofia Dermisi Chris Lee and YoungjinChoe (University of Washington) Exploring the effect of disclosure

policies on office building marketability while assessing potential links between market performance of sustainable assets

bull Before and after the disclosure policies while considering market cycles

bull Before and after ENERGY STAR andor LEED certification

Markets included San Francisco Washington DC

Effect of Energy Benchmarking and Disclosure on Office Building Marketability

Dirk Brounen (Tilburg University) and Gianluca Marcato (Reading University) Analyzing the adoption of GRESB within the public real estate markets and

predicting a potential impact of GRESB scores on REIT returns

Sustainable Insights and Public Real Estate Performance GRESB Effects in REIT Markets

Constantine Kontokosta (New York University) Franz Fuerst(Cambridge University) Gary Pivo (University of Arizona) amp Jacob Sagi (UNC Chapel Hill) Utilizing NYC data to empirically model

bull the spread between the premium for labeled (energy efficient) buildings and the cost to retrofit an under-performing building to meet the same standard which will allow us to understand how much of the observed premium is attributable to energy efficiency and how much can be assigned to other perceived benefits (marketing construction quality etc)

bull the hurdle rate for energy retrofit investments using actual audit data and permitted renovation work

Estimating Office and Residential Building Energy Retrofit Hurdle Rates and Risk Arbitrage in Energy Efficiency Investments

Collecting data for continued Data Lab analysis Presenting Research findings

bull Interim research results ndash IPC Research Symposium (October)bull Greenbuild Session (November)bull RERI Research Conference (April)bull Final research results ndash Better Buildings Webinars Summit 2019 (TBA)

Work with DOE case study and data analysis opportunities abound

Next Steps

Paul Mathew

Lawrence Berkeley National Laboratorypamathewlblgov

Paulo Issler

University of California Berkeleypauloisslerberkeleyedu

Erin Hopkins

Virginia Techerinz1vtedu

Andrew White

RE Tech Advisorsawhiteretechadvisorscom

Contact Info

  • Slide Number 1
  • Business Case 20 New Research Around High Performing Buildings
  • Panelists
  • Energy and Default Risk in Commercial Mortgages
  • Paulo Issler
  • Acknowledgements
  • The link between energy and CRE mortgages
  • Approach Impact of energy on default rate
  • Default risk and source EUI (cont)
  • Default risk and source EUI
  • Default risk and source EUI (cont)
  • Default risk and source EUI (cont)
  • What are the impacts on specific loans
  • Case Studies
  • Denver Office ndash energy use and default risk
  • Denver Office ndash energy price and default risk
  • Case Studies ndash summary of risks impacts
  • Case Studies ndash business impact
  • Looking Ahead
  • Looking Ahead ndash our vision
  • Recommendations
  • Slide Number 22
  • Money Matters Exploring the Financial Impacts of Green Certifications in the Multifamily Rental SectorErin A Hopkins PhD CAPS LEED Green AssociateAssistant Professor of Property Management
  • Overview of Research
  • Certifications Represented in Sample
  • Properties by City
  • Descriptive
  • Descriptive
  • Findings
  • Financial Impacts of Green
  • Discussion
  • Discussion
  • Final Thoughts
  • Slide Number 34
  • Slide Number 35
  • Context Setting ndash DOE Research Effort
  • RERI Overview
  • Literature Review Objectives
  • Literature Review Results
  • Literature Review Results
  • Research Agenda Core Question
  • Proposal Reviews
  • Beyond Environmental Building Certification The Impact of Environmental Interventions on Commercial Real Estate Operations
  • The Dynamics of Energy Consumption in Commercial Real Estate
  • Effect of Energy Benchmarking and Disclosure on Office Building Marketability
  • Sustainable Insights and Public Real Estate Performance GRESB Effects in REIT Markets
  • Estimating Office and Residential Building Energy Retrofit Hurdle Rates and Risk Arbitrage in Energy Efficiency Investments
  • Next Steps
  • Contact Info
Y Term ~Bias Estimate EXP estimate Practical Interpretation increasedecrease Std Error DFDen t Ratio Probgt|t| Log(Vacancies amp Rent Loss rentable sf) Log(Total Rents Collected rentable sf) Log(Total Actual Collections rentable sf) Log(Management Fee rentable sf) Log(Total Utilities Rentable sf) Log(MampR rentable sf) Log(Subtotal Maintenance rentable sf) Log(Property Insurance rentable sf) Log(Total All Expenses Rentable sf) Log(NOI Rentable sf) Concessions rentable sf
Log(Vacancies amp Rent Loss rentable sf) Intercept 00893029328 10934118365 934 06116337119 1083785495375 01460072116 08841869197 Green Certified (1=yes 0=no)[Yes] -00318 01047 00991
Log(Vacancies amp Rent Loss rentable sf) Green Certified (1=yes 0=no)[Yes] -0031825668 09686754385 -313 009164153 139931853592 -03472843369 07288994904 Gym (1=yes 0=no)[Yes] 01060 00708 00767
Log(Vacancies amp Rent Loss rentable sf) Gym (1=yes 0=no)[Yes] 01007730854 11060256399 1060 01479591517 1412043780621 0681087207 0496931725 Pool (1=yes 0=no)[Yes] 01126 00089 00131
Log(Vacancies amp Rent Loss rentable sf) Pool (1=yes 0=no)[Yes] 01125884395 11191712315 1192 0113345701 506840641957 09933190097 032527325 Outdoor Common Area (1=yes 0=no)[Yes] 02673 -00803 -00764
Log(Vacancies amp Rent Loss rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 02672618233 13063824429 3064 01690835398 1429144230275 15806495624 01161688791 Walk Score 00102 00065 00066
Log(Vacancies amp Rent Loss rentable sf) Walk Score 00101642302 10102160615 102 00040763935 1219632686439 24934369735 00139912712 of Unfurnished Apartments -00003 -00009 -00008
Log(Vacancies amp Rent Loss rentable sf) of Unfurnished Apartments -0000250981 09997490505 -003 00006011213 142449410245 -04175214322 06769256723 Average Apt Unit Size -00003 -00002 -00002
Log(Vacancies amp Rent Loss rentable sf) Average Apt Unit Size -00002575258 09997425074 -003 00004990119 1315989429881 -05160713681 06066705884 Age -00026 00008 00015
Log(Vacancies amp Rent Loss rentable sf) Age -00026152008 09973882158 -026 00056263988 1391583522195 -04648090107 06427946925 Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00099 00043 00252
Log(Vacancies amp Rent Loss rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00099001013 10099492694 099 0100821633 1384002310718 00981942166 09219201454
Log(Total Rents Collected rentable sf) Intercept 30195696974 204824761253 194825 04164909532 1420770663705 72500246992 0
Log(Total Rents Collected rentable sf) Green Certified (1=yes 0=no)[Yes] 00996165255 11047471944 1047
Hopkins Erin Hopkins Erincant provide a confidencd interval for it
00590542761 1286416575023 16868638818 0094053065
Log(Total Rents Collected rentable sf) Gym (1=yes 0=no)[Yes] 00684081888 10708023088 708 0096210834 1330244953516 07110237581 04783143732
Log(Total Rents Collected rentable sf) Pool (1=yes 0=no)[Yes] 00088712036 10089106694 089 00916333982 708572236354 00968119025 09231490817
Log(Total Rents Collected rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00836597449 09197441505 -803 01126005752 1404546011941 -07429779537 04587359136
Log(Total Rents Collected rentable sf) Walk Score 0006479206 10065002414 065 0002794287 1413201347208 23187331419 00218436949
Log(Total Rents Collected rentable sf) of Unfurnished Apartments -00008678845 0999132492 -009 00003932429 1359586026848 -22069932213 00289920945
Log(Total Rents Collected rentable sf) Average Apt Unit Size -00002078918 09997921298 -002 00003300088 1382568544162 -06299582685 05297616269
Log(Total Rents Collected rentable sf) Age 00008364704 10008368204 008 00037477419 1387794745176 02231931757 08237133506
Log(Total Rents Collected rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00042999624 10043092206 043 0069466499 142786243042 00618998008 09507291881
Log(Total Actual Collections rentable sf) Intercept 30681072891 215011686418 205012 04070110501 1415072794017 75381424868 0
Log(Total Actual Collections rentable sf) Green Certified (1=yes 0=no)[Yes] 00944491888 10990533175 991 00578900924 1291837028308 16315259643 01052148631
Log(Total Actual Collections rentable sf) Gym (1=yes 0=no)[Yes] 00739127176 10767128233 767 0094247393 1335821297113 07842415071 04342868782
Log(Total Actual Collections rentable sf) Pool (1=yes 0=no)[Yes] 00130418887 10131273051 131 00885804441 654593026021 01472321442 08834013324
Log(Total Actual Collections rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00794248992 0923647384 -764 01101507414 1410305976559 -07210564195 04720684016
Log(Total Actual Collections rentable sf) Walk Score 00065530115 10065745295 066 00027272037 14047408887 24028316857 00175745575
Log(Total Actual Collections rentable sf) of Unfurnished Apartments -0000833078 09991672689 -008 00003850262 1365168778586 -21636916411 00322285543
Log(Total Actual Collections rentable sf) Average Apt Unit Size -00002169447 09997830788 -002 00003233576 1393662972101 -06709126047 05033865944
Log(Total Actual Collections rentable sf) Age 00015178151 10015189676 015 0003670824 1398532082324 04134807595 06798877496
Log(Total Actual Collections rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00249154485 10252284322 252 0067842812 1423468871242 03672525904 07139760316
Log(Management Fee rentable sf) Intercept -02128803278 08082528568 -1917 04254329778 585619088893 -0500385111 06186792644
Log(Management Fee rentable sf) Green Certified (1=yes 0=no)[Yes] 0019865513 10200641454 201 00593086525 1354977267554 03349513461 07381797603
Log(Management Fee rentable sf) Gym (1=yes 0=no)[Yes] -00082052627 09918283086 -082 00958032958 1386068833723 -00856469772 09318706455
Log(Management Fee rentable sf) Pool (1=yes 0=no)[Yes] 00174275629 10175803089 176 00771880661 202180965349 02257805358 08236388274
Log(Management Fee rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00153191452 10154370848 154 01103651216 1423896402644 01388042255 08898009734
Log(Management Fee rentable sf) Walk Score 00070459229 10070708039 071 00028008303 805559990921 25156550566 0013868745
Log(Management Fee rentable sf) of Unfurnished Apartments -0001358177 09986427449 -014 00003916726 1421224837061 -34676335479 00006950146
Log(Management Fee rentable sf) Average Apt Unit Size -00005130214 09994871101 -005 00003375961 1007585612206 -15196307445 0131735624
Log(Management Fee rentable sf) Age 00013613923 10013623194 014 00037151697 1277713043957 03664414822 07146417588
Log(Management Fee rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -00674463479 09347778721 -652 00657081953 1299283630266 -10264525997 03065854809
Log(Total Utilities Rentable sf) Intercept -03748562337 06873880949 -3126 04464274077 1402143832266 -08396801522 04025171642
Log(Total Utilities Rentable sf) Green Certified (1=yes 0=no)[Yes] 00873163337 10912418217 912 0064576715 1358457024729 13521334071 01785794114
Log(Total Utilities Rentable sf) Gym (1=yes 0=no)[Yes] 01175979311 11247917766 1248 01048349264 1384172144229 11217438221 02639135776
Log(Total Utilities Rentable sf) Pool (1=yes 0=no)[Yes] 00115680134 10116351816 116 00928512423 72633370166 01245865221 09011950626
Log(Total Utilities Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00222539972 10225034645 225 01216524447 1425571484619 01829309493 0855112103
Log(Total Utilities Rentable sf) Walk Score 00068649233 10068885409 069 00029812807 1396033046894 23026759291 00227754146
Log(Total Utilities Rentable sf) of Unfurnished Apartments -00006773222 09993229071 -007 00004273761 1401067188346 -15848386198 01152575495
Log(Total Utilities Rentable sf) Average Apt Unit Size -00003442022 0999655857 -003 00003581401 1425120147852 -09610825805 03381384619
Log(Total Utilities Rentable sf) Age 00048795122 10048914364 049 00040600929 1425855030198 12018227897 02314244716
Log(Total Utilities Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -01198355423 08870663096 -1129 00742421382 1413320388001 -16141176043 01087323819
Log(MampR rentable sf) Intercept -09030689887 04053238148 -5947 0437858541 1384008312652 -20624674504 00410332652
Log(MampR rentable sf) Green Certified (1=yes 0=no)[Yes] 00937424436 10982768413 983 00639155521 1376081716673 14666609392 01447499128
Log(MampR rentable sf) Gym (1=yes 0=no)[Yes] 00037664885 10037735907 038 01036113865 1396450691334 00363520715 09710535435
Log(MampR rentable sf) Pool (1=yes 0=no)[Yes] 01319613595 11410642271 1411 00887446725 719561267791 14869778183 0141389644
Log(MampR rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00521515872 09491849716 -508 01197720975 1428478988157 -04354235112 06639122497
Log(MampR rentable sf) Walk Score 00110131704 10110740386 111 00029197236 1385662208531 37719907631 00002391344
Log(MampR rentable sf) of Unfurnished Apartments -00008849955 09991153959 -009 00004219429 1410140957414 -20974297602 0037740228
Log(MampR rentable sf) Average Apt Unit Size 00000594506 10000594524 001 0000353075 1429981472006 01683796031 08665225748
Log(MampR rentable sf) Age 0007624822 1007653965 077 00039990018 142990029884 19066812998 00585678315
Log(MampR rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00598131349 10616381449 616 00727173027 1406732379184 08225433659 04121598071
Log(Subtotal Maintenance rentable sf) Intercept -07997344997 04494482769 -5506 0489167182 1380935604874 -16348899298 01043496414
Log(Subtotal Maintenance rentable sf) Green Certified (1=yes 0=no)[Yes] 01180969773 11253532398 1254 00707986514 1348907221481 16680681771 00976219515
Log(Subtotal Maintenance rentable sf) Gym (1=yes 0=no)[Yes] 00409351965 10417845921 418 01148796072 1378640116803 03563312718 07221372278
Log(Subtotal Maintenance rentable sf) Pool (1=yes 0=no)[Yes] 01515780559 11636691295 1637 0100780712 617547240206 15040383505 01376688864
Log(Subtotal Maintenance rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -0078076377 09248937833 -751 01331885868 1426567369893 -05862092154 05586613077
Log(Subtotal Maintenance rentable sf) Walk Score 0011889233 10119601909 120 00032614069 1377504918879 36454307183 00003773801
Log(Subtotal Maintenance rentable sf) of Unfurnished Apartments -00008153416 09991849907 -008 00004682078 1398534995511 -17414095506 00838107083
Log(Subtotal Maintenance rentable sf) Average Apt Unit Size 00005083484 10005084776 005 00003930253 1428434249161 12934242295 01979520949
Log(Subtotal Maintenance rentable sf) Age 00104106727 10104650523 105 00044515054 1428449267664 23386858733 00207383998
Log(Subtotal Maintenance rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 02440298206 12763823925 2764 0081177414 1402563601749 30061295196 00031359748
Log(Property Insurance rentable sf) Intercept -08916874806 04099633635 -5900 04516384713 1429624291993 -19743390727 00502702101
Log(Property Insurance rentable sf) Green Certified (1=yes 0=no)[Yes] 01239058141 11319092561 1319 0062692592 1281678143933 19764027959 00502564371
Log(Property Insurance rentable sf) Gym (1=yes 0=no)[Yes] -0003522638 09964835593 -035 01024969537 1314939748594 -0034368221 09726356404
Log(Property Insurance rentable sf) Pool (1=yes 0=no)[Yes] 00227423743 10230029538 230 01040308572 1125700947624 02186118131 08273482928
Log(Property Insurance rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00155809876 10157030041 157 01206677853 1368483458399 01291230096 08974498986
Log(Property Insurance rentable sf) Walk Score 00072977866 10073244804 073 00030353828 1428602075435 24042392705 00174877086
Log(Property Insurance rentable sf) of Unfurnished Apartments -00010061941 09989943119 -010 0000420017 1337858380697 -23956034086 00179774093
Log(Property Insurance rentable sf) Average Apt Unit Size -00006330482 09993671521 -006 00003514502 1338864329416 -18012458048 0073914725
Log(Property Insurance rentable sf) Age 00009661099 10009665767 010 00039921418 1338497494964 02420028921 08091483095
Log(Property Insurance rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -00520208103 09493091112 -507 00749301111 1411273861679 -06942577501 04886618561
Log(Total All Expenses Rentable sf) Intercept 17410862845 57035357214 47035 03946731547 141889623796 44114636723 00000201648
Log(Total All Expenses Rentable sf) Green Certified (1=yes 0=no)[Yes] 01231722438 11310792255 1311 00565275641 1341244163534 21789766772 00310802733
Log(Total All Expenses Rentable sf) Gym (1=yes 0=no)[Yes] 00096244971 10096709615 097 00919378962 1370603130567 01046847658 09167789899
Log(Total All Expenses Rentable sf) Pool (1=yes 0=no)[Yes] 01610294116 11747195186 1747 00846545666 801516751987 19021940341 00607378863
Log(Total All Expenses Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00361842114 09644626121 -355 01071504659 1418739239709 -03376953252 07360919324
Log(Total All Expenses Rentable sf) Walk Score 00087371658 10087754463 088 00026426023 1411809488418 33062734678 00011989895
Log(Total All Expenses Rentable sf) of Unfurnished Apartments -00008720665 09991283137 -009 00003752966 1389800988186 -23236728617 00215934791
Log(Total All Expenses Rentable sf) Average Apt Unit Size -0000155413 0999844599 -002 00003145108 1409449329598 -0494142052 06219751067
Log(Total All Expenses Rentable sf) Age 00015666155 10015678433 016 00035695206 1412387206124 04388868073 06614142124
Log(Total All Expenses Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00157918953 10159172462 159 00657593447 1424551160559 02401467861 08105616925
Log(NOI Rentable sf) Intercept 27416093787 155119295878 145119 049686036 1426328429735 55178669889 0000000157
Log(NOI Rentable sf) Green Certified (1=yes 0=no)[Yes] 00932241108 10977077159 977 00701671113 1292740226257 13286012361 01863200879
Log(NOI Rentable sf) Gym (1=yes 0=no)[Yes] 0111280688 11177085902 1177 0114413579 13320261997 09726178396 03325061802
Log(NOI Rentable sf) Pool (1=yes 0=no)[Yes] -00608871507 0940929417 -591 01107002034 838263437204 -05500184174 05837693269
Log(NOI Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -01393113526 08699571229 -1300 01340931949 1397855428856 -10389144106 03006382455
Log(NOI Rentable sf) Walk Score 00045000262 10045101666 045 0003337636 1423581725818 13482675372 01797136327
Log(NOI Rentable sf) of Unfurnished Apartments -00007116645 09992885887 -007 00004679272 1358400867851 -15208872073 01306124688
Log(NOI Rentable sf) Average Apt Unit Size -00001937801 09998062387 -002 00003921685 1372175013367 -04941245389 06220083144
Log(NOI Rentable sf) Age 00034607088 1003466704 035 00044548378 1376438770548 07768428318 04385844885
Log(NOI Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00488697769 10500835966 501 00828565286 1429949688826 05898120243 0556247504
Concessions rentable sf Intercept 0091580439 10959049266 959 12772069558 1418541020247 00717036801 09429387231
Concessions rentable sf Green Certified (1=yes 0=no)[Yes] 01110697527 11174728508 1175 01814813765 1293641668833 06120173584 05416004511
Concessions rentable sf Gym (1=yes 0=no)[Yes] -05094051331 06008529 -3991 02955403985 1336296409402 -17236395961 00870857294
Concessions rentable sf Pool (1=yes 0=no)[Yes] -00886152984 09151975838 -848 02791864929 69298361986 -03174053928 07518903943
Concessions rentable sf Outdoor Common Area (1=yes 0=no)[Yes] 04576291372 15803228114 5803 03455726285 1408379747117 13242632646 01875606951
Concessions rentable sf Walk Score 00120688741 10121419968 121 00085630896 1409791646097 14094064916 01609170757
Concessions rentable sf of Unfurnished Apartments -00007045588 09992956894 -007 00012075862 1364744404696 -05834438741 05605574922
Concessions rentable sf Average Apt Unit Size -00003193903 09996806607 -003 00010135961 1389703034326 -03151061148 07531537379
Concessions rentable sf Age 00130223218 10131074815 131 00115086772 139464867267 11315220311 02597773256
Concessions rentable sf Building Mix (0=multifamily 1 = mixed-use)[Mixed] -03719888249 06893619462 -3106 02129597676 1426034459287 -17467563435 00828326573
Y Term Practical Interpretation increasedecrease Probgt|t| Total Rents Collected Subtotal Maintenance Property Insurance Total Expenses
Log(Total Rents Collected rentable sf) Green Certified (1=yes 0=no)[Yes] 1047
Hopkins Erin Hopkins Erincant provide a confidencd interval for it
009 130837635934 13311489362 01847683215 67633617021
Log(Subtotal Maintenance rentable sf) Green Certified (1=yes 0=no)[Yes] 1254 010 267662568114 08839769656 0489370035 133484365708
Log(Property Insurance rentable sf) Green Certified (1=yes 0=no)[Yes] 1319 005 44887430941 07758149459 02417429373 41261056301
Log(Total All Expenses Rentable sf) Green Certified (1=yes 0=no)[Yes] 1311 003 103066299601 12390720963 00474343371 5067818194
206907297628 2385711159 02072356932 9194606526
318766961061 22633758919 04452208547 128154919371
92461669878 09545425866 01280485733 38832017239
143925847783 15966970999 02187893202 54018796992
176714125561 02006495648 02876780533 58992020575
232897515382 0726170332 00787094673 69517596041
Non-green sf average Financial Green Impact sf Financial green impact differencesf Green impactapt Green impactproperty 51780910259 05203453537 00494304264 22609306646
178353784788 17547710996 02048626598 95961490345
Total Rents Collected sf 1047 2356 2603 $ 247 $ 2189 $ 551683 113769814112 12206875575 03432049607 118156743193
Subtotal Maintenance sf 1254 160 180 $ 020 $ 178 $ 44843 301239240258 10561596849 0204970258 110903994641
Property Insurance sf 1319 036 041 $ 005 $ 42 $ 10601 918584487 08376649832 00914663991 4146546939
Total Expenses sf 1311 852 963 $ 112 $ 990 $ 249535 265183769576 19294929362 03500602344 108447158033
226055903548 13557897255 03988791741 10971207244
334894587007 17970717884 05122599181 124640467569
5542518821 31394328066 04875650977 200668786372
112655732059 13445692884 02031297086 43995867235
129139526152 1168069688 00518980213 4651511283
Avg Apt Size Avg of Units 151098478261 13975 02004130435 51873478261
192155046737 21015937064 02616549091 8357602264
887 252 514840434082 52766375656 02375463267 174375582672
81421971535 06694487849 00899424521 2748686222
30246817244 21594341279 03308639536 97277207077
488523197409 27727612187 0646599696 130752346177
318750561687 38903340576 03852711795 142409683793
310384048163 43119745565 03335824966 138846874251
Green Certification Impacts 48578215663 0350218077 03095574205 23695139998
Dependent Variable Per Square Foot Per Apartment Per Property 192237574111 13374121765 02053242615 84027476689
Total Rents Collected $ 247 $ 2189 $ 551683 62979912788 05343191729 00816289996 45390243161
Subtotal Maintenance $ 020 $ 178 $ 44843 148378959661 14651715909 02004049722 80900580942
Property Insurance $ 005 $ 42 $ 10601 196798863889 11267176542 02499920663 90266351433
Total Expenses $ 112 $ 990 $ 249535 281508617823 09686995581 01118170881 119863342059
58584849751 0106864586 04187933949 44180073736
126756167712 1265684516 02796423029 87538414144
176550549412 24957340254 02343899179 88904473415
252421786235 28063734042 03142238564 133776179357
191875932907 13637043757 03440324697 987034902
159508092934 13109374847 02091697013 98967206196
342739845467 09614092295 03929892961 129755936769
192510355167 32804720611 01743191858 134560085596
257829360401 13666691797 01527100011 56329812754
358622391559 14251973427 03437553732 101098436889
217744157919 24046486586 01864745418 68711016642
222112557003 22022148788 07879755849 97807110765
202535763689 04548110217 10003436751 127886698915
155879815194 23816051158 04816227091 119033557201
11066078843 23413202706 06413902496 81812176347
151924709838 18873401649 05711000232 105403544539
163604010853 16052949068 02714509557 82030431823
133974400047 11018949984 03560839935 59096477943
133528448829 13647819036 02538331588 66159357367
187400008959 16889788117 030870974 115752907975
155246293804 18308314258 03852380906 116657595614
34082816218 05447090935 09838411173 13641308574
201220131342 11192465065 03188344246 93786154242
139108532616 13313944086 03887737775 69698295902
191656858207 15717927807 06002115982 119380046581
200921599083 12597596226 03267106334 82474085087
57536742874 00453219212 00300766262 10569757217
120548294116 11607892527 03275736725 74435143659
123188534664 1404028789 03510968138 78762080781
59543029729 0899713372 01652374748 28143456117
144215639215 19193238703 02899837711 67370054173
340046684831 19619729415 04325060698 120608464163
208244777176 28183367899 037 73104355304
234349752613 19432301154 0351134881 107484594815
136370903402 17029933791 01989576534 50899930579
149968383478 14209793679 02735642323 63813718869
81145819519 0920766851 00474564037 30674168785
226307446224 12529424404 02036192613 69235920453
132787305462 08047482453 01232346659 41808605432
251519090044 21798380428 0376480317 80396623551
492269138212 12196979039 02981674812 128316943664
107177195916 08016374211 0113808252 40618650625
128238528886 10751217142 01843492552 6476830365
57582611557 11908427448 0874334536 134004066235
43835651097 34822540694 03904989384 146763800425
205787355386 1429219053 02624404931 5321754079
463148430769 07709353846 06150738462 101617384615
377949548611 28670972222 08296944444 109743576389
360087564176 03501711352 18551055334 110041072447
18371979614 18232783153 07267294459 61184870906
678035276363 13443501226 10431616676 167533484248
56073359244 10138647576 01591318768 51440832304
189431314891 05101557395 03677787459 41010945328
383550342095 23244425576 04086557393 98151764619
115544349685 03310482653 037 40344851625
7552318246 0955023726 01241945851 24368780848
133083101881 19451300341 00938801919 48731378614
122308363087 13760780005 01439989014 45100624828
84908269322 10857071617 01155797799 36082570734
263116048067 10733627163 041902582 60372732395
76183752731 09621126305 01069925907 26170373239
172494454001 11781600332 03919686814 59016193131
342076422068 22741368431 03165622465 73557085549
215534567901 1485497076 02210396361 49118778428
314593058927 23798916958 02751353803 121998559501
586535191691 21029046354 02109026171 91979074439
138093310078 14595490221 02142269839 44286283792
227203645682 04584630891 05737147639 93344680527
572754455737 17713614269 01642228739 92545561671
60603870458 04541110154 01180884676 15902125521
358781017266 33847643857 06854022643 139200146946
342079216629 24477703832 0463059603 67166143833
651201231187 51019950176 12529595849 222094150831
369798669702 21700816928 0444474205 101410502507
421838575952 28823013788 05443272608 151399739597
626095189209 20826275416 04947814184 184651096472
214882899762 25034709712 06359683889 109534721722
274037120739 26718517094 037 67504928595
252667703737 25588590114 05379535858 109041874345
59253832495 01099622961 04620367393 19262874847
150862851538 18053109961 07398729558 71488607075
111196959019 00928417366 037 09427894164
667360269858 07921160191 02989609494 104670639024
2356 160 036 852
Log(Vacancies amp Rent Loss rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified -00318 00916 -00313 07289
Fitness Center 01008 01480 01060 04969
Pool 01126 01133 01192 03253
Outdoor Common Area 02673 01691 03064 01162
Walk Score 00102 00041 00102 00140
of Unfurnished Apartments -00003 00006 -00003 06769
Average Apt Unit Size -00003 00005 -00003 06067
Age -00026 00056 -00026 06428
Building Mix 00099 01008 00099 09219
Note R2 = 645
Log(Total Rents Collected rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00996 00591 01047 00941
Fitness Center 00684 00962 00708 04783
Pool 00089 00916 00089 09231
Outdoor Common Area -00837 01126 -00803 04587
Walk Score 00065 00028 00065 00218
of Unfurnished Apartments -00009 00004 -00009 00290
Average Apt Unit Size -00002 00003 -00002 05298
Age 00008 00037 00008 08237
Building Mix 00043 00695 00043 09507
Note R2 = 3318
Log(Total Actual Collections rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00944 00579 00991 01052
Fitness Center 00739 00942 00767 04343
Pool 00130 00886 00131 08834
Outdoor Common Area -00794 01102 -00764 04721
Walk Score 00066 00027 00066 00176
of Unfurnished Apartments -00008 00004 -00008 00322
Average Apt Unit Size -00002 00003 -00002 05034
Age 00015 00037 00015 06799
Building Mix 00249 00678 00252 07140
Note R2 = 3219
Log(Management Fee rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00199 00593 00201 07382
Fitness Center -00082 00958 -00082 09319
Pool 00174 00772 00176 08236
Outdoor Common Area 00153 01104 00154 08898
Walk Score 00070 00028 00071 00139
of Unfurnished Apartments -00014 00004 -00014 00007
Average Apt Unit Size -00005 00003 -00005 01317
Age 00014 00037 00014 07146
Building Mix -00674 00657 -00652 03066
Note R2 = 1697
Log(Total Utilities Rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00873 00646 00912 01786
Fitness Center 01176 01048 01248 02639
Pool 00116 00929 00116 09012
Outdoor Common Area 00223 01217 00225 08551
Walk Score 00069 00030 00069 00228
of Unfurnished Apartments -00007 00004 -00007 01153
Average Apt Unit Size -00003 00004 -00003 03381
Age 00049 00041 00049 02314
Building Mix -01198 00742 -01129 01087
Note R2 = 2171
Log(MampR rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00937 00639 00983 01447
Fitness Center 00038 01036 00038 09711
Pool 01320 00887 01411 01414
Outdoor Common Area -00522 01198 -00508 06639
Walk Score 00110 00029 00111 00002
of Unfurnished Apartments -00009 00004 -00009 00377
Average Apt Unit Size 00001 00004 00001 08665
Age 00076 00040 00077 00586
Building Mix 00598 00727 00616 04122
Note R2 = 2620
Log(Subtotal Maintenance rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 01181 00708 01254 00976
Fitness Center 00409 01149 00418 07221
Pool 01516 01008 01637 01377
Outdoor Common Area -00781 01332 -00751 05587
Walk Score 00119 00033 00120 00004
of Unfurnished Apartments -00008 00005 -00008 00838
Average Apt Unit Size 00005 00004 00005 01980
Age 00104 00045 00105 00207
Building Mix 02440 00812 02764 00031
Note R2 = 3218
Log(Property Insurance rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 01239 00627 01319 00503
Fitness Center -00035 01025 -00035 09726
Pool 00227 01040 00230 08273
Outdoor Common Area 00156 01207 00157 08974
Walk Score 00073 00030 00073 00175
of Unfurnished Apartments -00010 00004 -00010 00180
Average Apt Unit Size -00006 00004 -00006 00739
Age 00010 00040 00010 08091
Building Mix -00520 00749 -00507 04887
Note R2 = 3902
Log(Total All Expenses Rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 01232 00565 01311 00311
Fitness Center 00096 00919 00097 09168
Pool 01610 00847 01747 00607
Outdoor Common Area -00362 01072 -00355 07361
Walk Score 00087 00026 00088 00012
of Unfurnished Apartments -00009 00004 -00009 00216
Average Apt Unit Size -00002 00003 -00002 06220
Age 00016 00036 00016 06614
Building Mix 00158 00658 00159 08106
Note R2 = 2943
Log(NOI Rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00932 00702 00977 01863
Fitness Center 01113 01144 01177 03325
Pool -00609 01107 -00591 05838
Outdoor Common Area -01393 01341 -01300 03006
Walk Score 00045 00033 00045 01797
of Unfurnished Apartments -00007 00005 -00007 01306
Average Apt Unit Size -00002 00004 -00002 06220
Age 00035 00045 00035 04386
Building Mix 00489 00829 00501 05562
Note R2 = 3669
Concessions rentable sf
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 01111 01815 01175 05416
Fitness Center -05094 02955 -03991 00871
Pool -00886 02792 -00848 07519
Outdoor Common Area 04576 03456 05803 01876
Walk Score 00121 00086 00121 01609
of Unfurnished Apartments -00007 00012 -00007 05606
Average Apt Unit Size -00003 00010 -00003 07532
Age 00130 00115 00131 02598
Building Mix -03720 02130 -03106 00828
Note R2 = 2402
Y Term ~Bias Estimate EXP estimate Practical Interpretation increasedecrease Std Error DFDen t Ratio Probgt|t| Estimate Std Error Practical Interpretation Significance
Log(Vacancies amp Rent Loss rentable sf) Intercept 00893029328 10934118365 934 06116337119 1083785495375 01460072116 08841869197 Green Cert
Log(Vacancies amp Rent Loss rentable sf) Green Certified (1=yes 0=no)[Yes] -0031825668 09686754385 -313 009164153 139931853592 -03472843369 07288994904 Gym
Log(Vacancies amp Rent Loss rentable sf) Gym (1=yes 0=no)[Yes] 01007730854 11060256399 1060 01479591517 1412043780621 0681087207 0496931725
Log(Vacancies amp Rent Loss rentable sf) Pool (1=yes 0=no)[Yes] 01125884395 11191712315 1192 0113345701 506840641957 09933190097 032527325
Log(Vacancies amp Rent Loss rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 02672618233 13063824429 3064 01690835398 1429144230275 15806495624 01161688791
Log(Vacancies amp Rent Loss rentable sf) Walk Score 00101642302 10102160615 102 00040763935 1219632686439 24934369735 00139912712
Log(Vacancies amp Rent Loss rentable sf) of Unfurnished Apartments -0000250981 09997490505 -003 00006011213 142449410245 -04175214322 06769256723
Log(Vacancies amp Rent Loss rentable sf) Average Apt Unit Size -00002575258 09997425074 -003 00004990119 1315989429881 -05160713681 06066705884
Log(Vacancies amp Rent Loss rentable sf) Age -00026152008 09973882158 -026 00056263988 1391583522195 -04648090107 06427946925
Log(Vacancies amp Rent Loss rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00099001013 10099492694 099 0100821633 1384002310718 00981942166 09219201454
Log(Total Rents Collected rentable sf) Intercept 30195696974 204824761253 194825 04164909532 1420770663705 72500246992 0
Log(Total Rents Collected rentable sf) Green Certified (1=yes 0=no)[Yes] 00996165255 11047471944 1047
Hopkins Erin Hopkins Erincant provide a confidencd interval for it
00590542761 1286416575023 16868638818 0094053065 0099617 00590542761 1047
Log(Total Rents Collected rentable sf) Gym (1=yes 0=no)[Yes] 00684081888 10708023088 708 0096210834 1330244953516 07110237581 04783143732
Log(Total Rents Collected rentable sf) Pool (1=yes 0=no)[Yes] 00088712036 10089106694 089 00916333982 708572236354 00968119025 09231490817
Log(Total Rents Collected rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00836597449 09197441505 -803 01126005752 1404546011941 -07429779537 04587359136
Log(Total Rents Collected rentable sf) Walk Score 0006479206 10065002414 065 0002794287 1413201347208 23187331419 00218436949
Log(Total Rents Collected rentable sf) of Unfurnished Apartments -00008678845 0999132492 -009 00003932429 1359586026848 -22069932213 00289920945 variance components to talk about how much of the total error that is attribuatle to city
Log(Total Rents Collected rentable sf) Average Apt Unit Size -00002078918 09997921298 -002 00003300088 1382568544162 -06299582685 05297616269
Log(Total Rents Collected rentable sf) Age 00008364704 10008368204 008 00037477419 1387794745176 02231931757 08237133506
Log(Total Rents Collected rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00042999624 10043092206 043 0069466499 142786243042 00618998008 09507291881
Log(Total Actual Collections rentable sf) Intercept 30681072891 215011686418 205012 04070110501 1415072794017 75381424868 0
Log(Total Actual Collections rentable sf) Green Certified (1=yes 0=no)[Yes] 00944491888 10990533175 991 00578900924 1291837028308 16315259643 01052148631
Log(Total Actual Collections rentable sf) Gym (1=yes 0=no)[Yes] 00739127176 10767128233 767 0094247393 1335821297113 07842415071 04342868782
Log(Total Actual Collections rentable sf) Pool (1=yes 0=no)[Yes] 00130418887 10131273051 131 00885804441 654593026021 01472321442 08834013324
Log(Total Actual Collections rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00794248992 0923647384 -764 01101507414 1410305976559 -07210564195 04720684016
Log(Total Actual Collections rentable sf) Walk Score 00065530115 10065745295 066 00027272037 14047408887 24028316857 00175745575
Log(Total Actual Collections rentable sf) of Unfurnished Apartments -0000833078 09991672689 -008 00003850262 1365168778586 -21636916411 00322285543
Log(Total Actual Collections rentable sf) Average Apt Unit Size -00002169447 09997830788 -002 00003233576 1393662972101 -06709126047 05033865944
Log(Total Actual Collections rentable sf) Age 00015178151 10015189676 015 0003670824 1398532082324 04134807595 06798877496
Log(Total Actual Collections rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00249154485 10252284322 252 0067842812 1423468871242 03672525904 07139760316
Log(Management Fee rentable sf) Intercept -02128803278 08082528568 -1917 04254329778 585619088893 -0500385111 06186792644
Log(Management Fee rentable sf) Green Certified (1=yes 0=no)[Yes] 0019865513 10200641454 201 00593086525 1354977267554 03349513461 07381797603
Log(Management Fee rentable sf) Gym (1=yes 0=no)[Yes] -00082052627 09918283086 -082 00958032958 1386068833723 -00856469772 09318706455
Log(Management Fee rentable sf) Pool (1=yes 0=no)[Yes] 00174275629 10175803089 176 00771880661 202180965349 02257805358 08236388274
Log(Management Fee rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00153191452 10154370848 154 01103651216 1423896402644 01388042255 08898009734
Log(Management Fee rentable sf) Walk Score 00070459229 10070708039 071 00028008303 805559990921 25156550566 0013868745
Log(Management Fee rentable sf) of Unfurnished Apartments -0001358177 09986427449 -014 00003916726 1421224837061 -34676335479 00006950146
Log(Management Fee rentable sf) Average Apt Unit Size -00005130214 09994871101 -005 00003375961 1007585612206 -15196307445 0131735624
Log(Management Fee rentable sf) Age 00013613923 10013623194 014 00037151697 1277713043957 03664414822 07146417588
Log(Management Fee rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -00674463479 09347778721 -652 00657081953 1299283630266 -10264525997 03065854809
Log(Total Utilities Rentable sf) Intercept -03748562337 06873880949 -3126 04464274077 1402143832266 -08396801522 04025171642
Log(Total Utilities Rentable sf) Green Certified (1=yes 0=no)[Yes] 00873163337 10912418217 912 0064576715 1358457024729 13521334071 01785794114
Log(Total Utilities Rentable sf) Gym (1=yes 0=no)[Yes] 01175979311 11247917766 1248 01048349264 1384172144229 11217438221 02639135776
Log(Total Utilities Rentable sf) Pool (1=yes 0=no)[Yes] 00115680134 10116351816 116 00928512423 72633370166 01245865221 09011950626
Log(Total Utilities Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00222539972 10225034645 225 01216524447 1425571484619 01829309493 0855112103
Log(Total Utilities Rentable sf) Walk Score 00068649233 10068885409 069 00029812807 1396033046894 23026759291 00227754146
Log(Total Utilities Rentable sf) of Unfurnished Apartments -00006773222 09993229071 -007 00004273761 1401067188346 -15848386198 01152575495
Log(Total Utilities Rentable sf) Average Apt Unit Size -00003442022 0999655857 -003 00003581401 1425120147852 -09610825805 03381384619
Log(Total Utilities Rentable sf) Age 00048795122 10048914364 049 00040600929 1425855030198 12018227897 02314244716
Log(Total Utilities Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -01198355423 08870663096 -1129 00742421382 1413320388001 -16141176043 01087323819
Log(MampR rentable sf) Intercept -09030689887 04053238148 -5947 0437858541 1384008312652 -20624674504 00410332652
Log(MampR rentable sf) Green Certified (1=yes 0=no)[Yes] 00937424436 10982768413 983 00639155521 1376081716673 14666609392 01447499128
Log(MampR rentable sf) Gym (1=yes 0=no)[Yes] 00037664885 10037735907 038 01036113865 1396450691334 00363520715 09710535435
Log(MampR rentable sf) Pool (1=yes 0=no)[Yes] 01319613595 11410642271 1411 00887446725 719561267791 14869778183 0141389644
Log(MampR rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00521515872 09491849716 -508 01197720975 1428478988157 -04354235112 06639122497
Log(MampR rentable sf) Walk Score 00110131704 10110740386 111 00029197236 1385662208531 37719907631 00002391344
Log(MampR rentable sf) of Unfurnished Apartments -00008849955 09991153959 -009 00004219429 1410140957414 -20974297602 0037740228
Log(MampR rentable sf) Average Apt Unit Size 00000594506 10000594524 001 0000353075 1429981472006 01683796031 08665225748
Log(MampR rentable sf) Age 0007624822 1007653965 077 00039990018 142990029884 19066812998 00585678315
Log(MampR rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00598131349 10616381449 616 00727173027 1406732379184 08225433659 04121598071
Log(Subtotal Maintenance rentable sf) Intercept -07997344997 04494482769 -5506 0489167182 1380935604874 -16348899298 01043496414
Log(Subtotal Maintenance rentable sf) Green Certified (1=yes 0=no)[Yes] 01180969773 11253532398 1254 00707986514 1348907221481 16680681771 00976219515
Log(Subtotal Maintenance rentable sf) Gym (1=yes 0=no)[Yes] 00409351965 10417845921 418 01148796072 1378640116803 03563312718 07221372278
Log(Subtotal Maintenance rentable sf) Pool (1=yes 0=no)[Yes] 01515780559 11636691295 1637 0100780712 617547240206 15040383505 01376688864
Log(Subtotal Maintenance rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -0078076377 09248937833 -751 01331885868 1426567369893 -05862092154 05586613077
Log(Subtotal Maintenance rentable sf) Walk Score 0011889233 10119601909 120 00032614069 1377504918879 36454307183 00003773801
Log(Subtotal Maintenance rentable sf) of Unfurnished Apartments -00008153416 09991849907 -008 00004682078 1398534995511 -17414095506 00838107083
Log(Subtotal Maintenance rentable sf) Average Apt Unit Size 00005083484 10005084776 005 00003930253 1428434249161 12934242295 01979520949
Log(Subtotal Maintenance rentable sf) Age 00104106727 10104650523 105 00044515054 1428449267664 23386858733 00207383998
Log(Subtotal Maintenance rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 02440298206 12763823925 2764 0081177414 1402563601749 30061295196 00031359748
Log(Property Insurance rentable sf) Intercept -08916874806 04099633635 -5900 04516384713 1429624291993 -19743390727 00502702101
Log(Property Insurance rentable sf) Green Certified (1=yes 0=no)[Yes] 01239058141 11319092561 1319 0062692592 1281678143933 19764027959 00502564371
Log(Property Insurance rentable sf) Gym (1=yes 0=no)[Yes] -0003522638 09964835593 -035 01024969537 1314939748594 -0034368221 09726356404
Log(Property Insurance rentable sf) Pool (1=yes 0=no)[Yes] 00227423743 10230029538 230 01040308572 1125700947624 02186118131 08273482928
Log(Property Insurance rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00155809876 10157030041 157 01206677853 1368483458399 01291230096 08974498986
Log(Property Insurance rentable sf) Walk Score 00072977866 10073244804 073 00030353828 1428602075435 24042392705 00174877086
Log(Property Insurance rentable sf) of Unfurnished Apartments -00010061941 09989943119 -010 0000420017 1337858380697 -23956034086 00179774093
Log(Property Insurance rentable sf) Average Apt Unit Size -00006330482 09993671521 -006 00003514502 1338864329416 -18012458048 0073914725
Log(Property Insurance rentable sf) Age 00009661099 10009665767 010 00039921418 1338497494964 02420028921 08091483095
Log(Property Insurance rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -00520208103 09493091112 -507 00749301111 1411273861679 -06942577501 04886618561
Log(Total All Expenses Rentable sf) Intercept 17410862845 57035357214 47035 03946731547 141889623796 44114636723 00000201648
Log(Total All Expenses Rentable sf) Green Certified (1=yes 0=no)[Yes] 01231722438 11310792255 1311 00565275641 1341244163534 21789766772 00310802733
Log(Total All Expenses Rentable sf) Gym (1=yes 0=no)[Yes] 00096244971 10096709615 097 00919378962 1370603130567 01046847658 09167789899
Log(Total All Expenses Rentable sf) Pool (1=yes 0=no)[Yes] 01610294116 11747195186 1747 00846545666 801516751987 19021940341 00607378863
Log(Total All Expenses Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00361842114 09644626121 -355 01071504659 1418739239709 -03376953252 07360919324
Log(Total All Expenses Rentable sf) Walk Score 00087371658 10087754463 088 00026426023 1411809488418 33062734678 00011989895
Log(Total All Expenses Rentable sf) of Unfurnished Apartments -00008720665 09991283137 -009 00003752966 1389800988186 -23236728617 00215934791
Log(Total All Expenses Rentable sf) Average Apt Unit Size -0000155413 0999844599 -002 00003145108 1409449329598 -0494142052 06219751067
Log(Total All Expenses Rentable sf) Age 00015666155 10015678433 016 00035695206 1412387206124 04388868073 06614142124
Log(Total All Expenses Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00157918953 10159172462 159 00657593447 1424551160559 02401467861 08105616925
Log(NOI Rentable sf) Intercept 27416093787 155119295878 145119 049686036 1426328429735 55178669889 0000000157
Log(NOI Rentable sf) Green Certified (1=yes 0=no)[Yes] 00932241108 10977077159 977 00701671113 1292740226257 13286012361 01863200879
Log(NOI Rentable sf) Gym (1=yes 0=no)[Yes] 0111280688 11177085902 1177 0114413579 13320261997 09726178396 03325061802
Log(NOI Rentable sf) Pool (1=yes 0=no)[Yes] -00608871507 0940929417 -591 01107002034 838263437204 -05500184174 05837693269
Log(NOI Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -01393113526 08699571229 -1300 01340931949 1397855428856 -10389144106 03006382455
Log(NOI Rentable sf) Walk Score 00045000262 10045101666 045 0003337636 1423581725818 13482675372 01797136327
Log(NOI Rentable sf) of Unfurnished Apartments -00007116645 09992885887 -007 00004679272 1358400867851 -15208872073 01306124688
Log(NOI Rentable sf) Average Apt Unit Size -00001937801 09998062387 -002 00003921685 1372175013367 -04941245389 06220083144
Log(NOI Rentable sf) Age 00034607088 1003466704 035 00044548378 1376438770548 07768428318 04385844885
Log(NOI Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00488697769 10500835966 501 00828565286 1429949688826 05898120243 0556247504
Concessions rentable sf Intercept 0091580439 10959049266 959 12772069558 1418541020247 00717036801 09429387231
Concessions rentable sf Green Certified (1=yes 0=no)[Yes] 01110697527 11174728508 1175 01814813765 1293641668833 06120173584 05416004511
Concessions rentable sf Gym (1=yes 0=no)[Yes] -05094051331 06008529 -3991 02955403985 1336296409402 -17236395961 00870857294
Concessions rentable sf Pool (1=yes 0=no)[Yes] -00886152984 09151975838 -848 02791864929 69298361986 -03174053928 07518903943
Concessions rentable sf Outdoor Common Area (1=yes 0=no)[Yes] 04576291372 15803228114 5803 03455726285 1408379747117 13242632646 01875606951
Concessions rentable sf Walk Score 00120688741 10121419968 121 00085630896 1409791646097 14094064916 01609170757
Concessions rentable sf of Unfurnished Apartments -00007045588 09992956894 -007 00012075862 1364744404696 -05834438741 05605574922
Concessions rentable sf Average Apt Unit Size -00003193903 09996806607 -003 00010135961 1389703034326 -03151061148 07531537379
Concessions rentable sf Age 00130223218 10131074815 131 00115086772 139464867267 11315220311 02597773256
Concessions rentable sf Building Mix (0=multifamily 1 = mixed-use)[Mixed] -03719888249 06893619462 -3106 02129597676 1426034459287 -17467563435 00828326573
Page 13: AUGUST 21- 23, 2018 • CLEVELAND, OHIO€¦ · Business Case 2.0: New Research Around High Performing Buildings Thursday 23 rd, 2018 10:30am – 12:00pm

What are the impacts on specific loansCollaborate with lenders to 1 Demonstrate impact of energy use and price on specific mortgage loans2 Develop recommendations

Approach Compile info from Appraisals PCAs

other sources Estimate source EUI variations

Simulation and empirical approaches

Compute electricity price gap using forward curves

Compute default risk impact due to source EUI and electricity price gap

13

Case Studies

Denver Office

Denver Hotel

San Francisco Multi-family

San Jose Office Sonoma Office

Denver Office ndash energy use and default riskFacilities Management factors HVAC schedule Thermostat setback Supply air temp control VAV min flow control Economizer controls Lighting controlsLevels good average poor

Occupancy factors Occupant density Occupant schedule Plug load density Plug load controlsLevels goodlow average poorhigh

CaseFacilities mgmtfactors

OccupancyFactors

Source EUI change ()

Default risk change (bp)

1 Good GoodLow -54 -248

2 Good Ave -33 -127

3 Ave Ave - -

4 Good PoorHigh +4 +12

5 Poor GoodLow +64 +158

6 Poor Ave +76 +181

7 Poor PoorHigh +132 +268

15

Denver Office ndash energy price and default risk

16

Case Studies ndash summary of risks impacts

Building Source EUI variation ()

Default rate variation (bp)

Default rate variation relative to TREPP avg ()

Denver Office -54 to +132 -248 to +268 -31 to +34

Sonoma Office -40 to +183 -161 to +331 -20 to +41

San Jose Office -62 to +119 -308 to +249 -39 to +31

Denver Hotel -11 to +17 -37 to +49 -5 to +6

San Francisco Multi-family -20 to +26 -72 to +74 -9 to +9

Wholesale price region Default rate variation (bp) Default rate variation relative to TREPP avg ()

Denver area +159 to +501 +20 to +63

Northern California -49 to +705 -6 to +88

Compare to TREPP average default rate of 800bp

17

Case Studies ndash business impactThese results showing the impact of energy on default risk are clearly meaningful I dont currently consider energy efficiency when making a loan and seeing this makes me think I would want to ask about itrdquo

I would like to apply these findings but would want an easy way to use it A simple score or ratio for energy risk would be good In fact I would be interested to pilot test it

Keith Hanley Silicon Valley Bank

18

Looking Ahead

Looking Ahead ndash our visionTo have energy factors fully and routinely incorporated in commercial mortgage valuation accelerating demand for buildings with lower energy risk

20

Show that energy matters

Develop and pilot

interventions Disseminate

best practices Institutionalize

Analysis of energy impacts

Long term

Case studies on actual mortgage loans

Protocols and tools for lenders and owners

Industry Standards

Scope of current effort

RecommendationsLenders Ask owners to provide info on energy cost range

Account for variations in energy use and energy price Could be done as part of Property Condition Assessment Can reference ASTM standard

Incorporate energy risk factor into underwriting and terms eg Interest rate discount for lower risk

Offer additional loan proceeds for EE investments

Owners Ask lenders to account for energy efficiency when setting mortgage

terms Provide data on energy costs to lender

Historical and anticipated In appraisal andor PCA

21

Thank you

Money Matters Exploring the Financial Impacts of Green Certifications in the Multifamily Rental Sector

Erin A Hopkins PhD CAPS LEED Green AssociateAssistant Professor of Property Management

bull Sample 153 properties from 2 of National Multifamily Housing Councilrsquos 2016 50 Largest Apartment Managers

bull Green-certified 2288 of properties (35 properties)bull Methodology Multiple Regression Analysisbull Controls Location Fitness Center Pool Outdoor Common Area Walk

Score of Unfurnished Apartments Average Apartment Unit Size Age Building Mix

bull Limitations Building class not directly taken into account

Overview of Research

Certifications Represented in Sample

Austin Energy Green Buildingreg (AEGB)

Rating System(3)

ENERGY STARreg

(1)

Florida Green Building Coalition

(FGBC)(1)

GreenPoint Rated(4)

LEEDreg

(16)

National Green Building Standardtrade

(NGBS)(11)

Properties by City

2

4

2 2 21 1

3

1 1 12 2

1 1 1

6

1 1

8

11

4

6

14

3

1

19

3

1 1

7

43

2

9

18

2 2

0

2

4

6

8

10

12

14

16

18

20

Summary Statistics of City Datan=153

Summary Satistics of City Data Green Bldgs Summary Satistics of City Data Non-Green Comparables

Descriptive

97

71

100

31

89

69

93

24

0

20

40

60

80

100

120

Fitness Center Pool Outdoor Common Area Mixed-Use Property

Summary Statistics of Green vs Non-Green Propertiesn = 153

Green Non-Green

Descriptive

73228

866

2011

74

259

894

2003

0

500

1000

1500

2000

2500

Walk Score Average Number of Units Average Apt Unit Size (sf) Age

Summary Statistics of Green vs Non-Green Properties

n = 153

Green Non-Green

Findings

Total Rents Collected1047

Total Maintenance1254

Property Insurance1319

Total Expenses1311

Higher rents and expenses

Financial Impacts of Green

Dependent Variable Per Square Foot Per Apartment Per PropertyTotal Rents Collected 247$ 2189$ 551683$ Subtotal Maintenance 020$ 178$ 44843$ Property Insurance 005$ 42$ 10601$ Total Expenses 112$ 990$ 249535$

Coefficients Standard Errors

Tables

Summary of Green Impacts

Summary Table

Discussion

bull Assume efficient operations will offset the higher rent

bull Philanthropic motivesbull Prestige motivesbull Green buildings tend to be newermore

likely to offer the more sought-after amenities and finishes

bull Tend to be in higher-income areaslikely have higher rents

Different motivations for paying higher rent may be in

play

Discussion

Higher Operating Expenses a Surprise

Does not align with much of the existing researchhellipbut no research on effects of green certification on total operating expenses within multifamily rental sector

Many of the certifications represented in this study focus on the design phase of the property vs the operations and maintenance phase

And although promotion of sustainability is on the rise in the multifamily housing sector staff may remain unfamiliar with the unique operations and maintenance of green

buildings

Final Thoughts

Apartment homes represent $13 trillion to the US economy and 5 million new rental households are expected by 2023 (National Multifamily Housing Council 2015)

Upfront capital constraints regulatory issues knowledge limitations and marketing concerns may diminish the attractiveness of multifamily rental green building

certification if not properly managed

Most studies focus on office sector andor strictly rents or property value

This study begins to look at the multifamily rental sector and offer a more comprehensive analysis

Further research is needed with larger datasets to understand effects of green certification on income statement components in the apartment industry as NOI

ultimately determines property market valueOptimism that this study can be the impetus for further research contributions on the

financial environmental and resident satisfaction impacts of green practices and certifications on the multifamily rental sector

Contact informationErin A Hopkinserinz1vtedu

Acknowledgementsbull Todd Feist Sustainability Program Manager at The Institute of

Real Estate Management (IREMreg) for his assistance with this research project

bull Yardi and IREMreg for the grant awarded to support this researchbull The two property management companies for sharing their data

BUILDING PERFORMANCE

UNLOCKINGVALUE

New DOE-driven Research Around High Performing Buildings

AUGUST 23 2018

ANDREW WHITEASSOCIATE MANAGERawhiteretechadvisorscom

2015-2016 bull Research design working group pilot study data lab

2017 bull Connect to Real Estate Research Institute (RERI) Literature review and gap analysis

2018 bull Research agenda request for proposals research project selection and execution

Context Setting ndash DOE Research EffortWhat are the impacts of energy efficiency and high-performance building

features on financial performance of commercial real estate

RERIrsquos mission is to encourage and reward research on real estate as an investment and as an asset class that is both academically rigorous and of value to the institutional real estate investment profession In addition RERI serves to provide a forum through which the real estate academic professional and regulatory communities can interact facilitating the exchange of insights amongst these stakeholders

RERI Overview

Sponsors

Build upon DOErsquos Review of Studies in the Market

bull Focus explicitly on peer-reviewed papers Gap analysis of existing research to

identifybull Questions that have already been

sufficiently provenbull Holes in existing body of research

Academic Inputbull Guidance on which studies to includebull Suggestions for how to conduct analysis

Literature Review Objectives

Literature Review Results

LEED

ENER

GY

ST

AR

labe

l

ENER

GY

ST

AR

sc

ore

Ener

gy u

se

BR

EEA

M

Ener

gy

Perf

orm

anc

e Cer

tific

ates

(U

K)

BO

MA

B

EST

Wal

kabi

lity

Non

-ene

rgy

gree

n fe

atur

es

Oth

er

Rent 20 18 1 2 2 2 1 1 1Rent concessions 1 1 1Sales price 9 11 1 1 1 1Assessed value 2 2Market value 1 2 1 2 1Occupancy 10 9 1Lease renewals 1 1 1Service charge 1Operating cost 2 3Energy cost 2 3Tenant satisfaction 1 1 1Sales time 1 1Default rate 2 1Capitalization rate 1 2 2 1Net operating income 1 1 1Loan to value ratio 1 1Debt service coverage ratio 1 1Worker productivity 1 1Other 5 4 1 4 2 2

There is considerable evidence that green building certifications correlate with increased economic value primarily via higher rents and sales prices

bull How do we move beyond certification to analyze performancebull Correlation vs Causation

bull What is driving added value Is it green features and efficiency the green labels themselves or other desirable features often included in certified buildings

Panel studies could help reduce some of the uncertainty and noise Full results presented at ACEEE Summer Study

bull Raising the Rent Premium Moving Green Building Research Beyond Certifications and Rent

bull Cindy Zhu Andrew White Paul Mathew Jeff Deason Philip Coleman

Literature Review Results

Research Agenda Core QuestionldquoHow does ltenergygreen metricgt affect ltfinancial value metricgtrdquo

EnergyGreen Metric

Site energy use or EUI

Source energy use or EUI

Energy cost or costsf

ENERGY STAR score

ENERGY STAR label

Green Building Certification (LEED BOMA 360)

Green Building Certification level (eg LEED Silver Gold)

Financial Value Metric

VacancyOccupancy Sales Price

Leasing Velocity (absorption speed of sales leasing)

Regulatory amp Compliance Risk

Tenant Renewals Insurance (rates ability)

Tenant Satisfaction Default Risk

Rental Income and Rent Concessions Debt Service Coverage Ratio

Marketing Costs Access to Funding

Utility Costs Maintenance OpEx Interest Rates

Obsolescence Reserves

Capitalization Rates

12 proposals received 5 projects selected Criteria

bull Department of Energy goals

bull Impact on Commercial Real Estate (CRE) Industry

bull Feasibility and Interest

bull Quality and Validity

Proposal Reviews

Jim Clayton Avis Devine (York University) and Rogier Holtermans(University of Guelph) Analyzing four types of energy

efficiency interventions on financial components that impact property-level NOI

bull How do interventions impact different aspects of building operations and their subsequent financial impact

Beyond Environmental Building Certification The Impact of Environmental Interventions on Commercial Real Estate Operations

Piet Eichholtz and Nils Kok (Maastricht University) and RogierHoltermans (University of Guelph) Three key questions

bull How is environmental building certification related to commercial building energy consumption

bull How does aging affect the energy consumption of the commercial building stock

bull To what extent do specific energy efficiency investments affect energy consumption in commercial real estate

The Dynamics of Energy Consumption in Commercial Real Estate

Sofia Dermisi Chris Lee and YoungjinChoe (University of Washington) Exploring the effect of disclosure

policies on office building marketability while assessing potential links between market performance of sustainable assets

bull Before and after the disclosure policies while considering market cycles

bull Before and after ENERGY STAR andor LEED certification

Markets included San Francisco Washington DC

Effect of Energy Benchmarking and Disclosure on Office Building Marketability

Dirk Brounen (Tilburg University) and Gianluca Marcato (Reading University) Analyzing the adoption of GRESB within the public real estate markets and

predicting a potential impact of GRESB scores on REIT returns

Sustainable Insights and Public Real Estate Performance GRESB Effects in REIT Markets

Constantine Kontokosta (New York University) Franz Fuerst(Cambridge University) Gary Pivo (University of Arizona) amp Jacob Sagi (UNC Chapel Hill) Utilizing NYC data to empirically model

bull the spread between the premium for labeled (energy efficient) buildings and the cost to retrofit an under-performing building to meet the same standard which will allow us to understand how much of the observed premium is attributable to energy efficiency and how much can be assigned to other perceived benefits (marketing construction quality etc)

bull the hurdle rate for energy retrofit investments using actual audit data and permitted renovation work

Estimating Office and Residential Building Energy Retrofit Hurdle Rates and Risk Arbitrage in Energy Efficiency Investments

Collecting data for continued Data Lab analysis Presenting Research findings

bull Interim research results ndash IPC Research Symposium (October)bull Greenbuild Session (November)bull RERI Research Conference (April)bull Final research results ndash Better Buildings Webinars Summit 2019 (TBA)

Work with DOE case study and data analysis opportunities abound

Next Steps

Paul Mathew

Lawrence Berkeley National Laboratorypamathewlblgov

Paulo Issler

University of California Berkeleypauloisslerberkeleyedu

Erin Hopkins

Virginia Techerinz1vtedu

Andrew White

RE Tech Advisorsawhiteretechadvisorscom

Contact Info

  • Slide Number 1
  • Business Case 20 New Research Around High Performing Buildings
  • Panelists
  • Energy and Default Risk in Commercial Mortgages
  • Paulo Issler
  • Acknowledgements
  • The link between energy and CRE mortgages
  • Approach Impact of energy on default rate
  • Default risk and source EUI (cont)
  • Default risk and source EUI
  • Default risk and source EUI (cont)
  • Default risk and source EUI (cont)
  • What are the impacts on specific loans
  • Case Studies
  • Denver Office ndash energy use and default risk
  • Denver Office ndash energy price and default risk
  • Case Studies ndash summary of risks impacts
  • Case Studies ndash business impact
  • Looking Ahead
  • Looking Ahead ndash our vision
  • Recommendations
  • Slide Number 22
  • Money Matters Exploring the Financial Impacts of Green Certifications in the Multifamily Rental SectorErin A Hopkins PhD CAPS LEED Green AssociateAssistant Professor of Property Management
  • Overview of Research
  • Certifications Represented in Sample
  • Properties by City
  • Descriptive
  • Descriptive
  • Findings
  • Financial Impacts of Green
  • Discussion
  • Discussion
  • Final Thoughts
  • Slide Number 34
  • Slide Number 35
  • Context Setting ndash DOE Research Effort
  • RERI Overview
  • Literature Review Objectives
  • Literature Review Results
  • Literature Review Results
  • Research Agenda Core Question
  • Proposal Reviews
  • Beyond Environmental Building Certification The Impact of Environmental Interventions on Commercial Real Estate Operations
  • The Dynamics of Energy Consumption in Commercial Real Estate
  • Effect of Energy Benchmarking and Disclosure on Office Building Marketability
  • Sustainable Insights and Public Real Estate Performance GRESB Effects in REIT Markets
  • Estimating Office and Residential Building Energy Retrofit Hurdle Rates and Risk Arbitrage in Energy Efficiency Investments
  • Next Steps
  • Contact Info
Y Term ~Bias Estimate EXP estimate Practical Interpretation increasedecrease Std Error DFDen t Ratio Probgt|t| Log(Vacancies amp Rent Loss rentable sf) Log(Total Rents Collected rentable sf) Log(Total Actual Collections rentable sf) Log(Management Fee rentable sf) Log(Total Utilities Rentable sf) Log(MampR rentable sf) Log(Subtotal Maintenance rentable sf) Log(Property Insurance rentable sf) Log(Total All Expenses Rentable sf) Log(NOI Rentable sf) Concessions rentable sf
Log(Vacancies amp Rent Loss rentable sf) Intercept 00893029328 10934118365 934 06116337119 1083785495375 01460072116 08841869197 Green Certified (1=yes 0=no)[Yes] -00318 01047 00991
Log(Vacancies amp Rent Loss rentable sf) Green Certified (1=yes 0=no)[Yes] -0031825668 09686754385 -313 009164153 139931853592 -03472843369 07288994904 Gym (1=yes 0=no)[Yes] 01060 00708 00767
Log(Vacancies amp Rent Loss rentable sf) Gym (1=yes 0=no)[Yes] 01007730854 11060256399 1060 01479591517 1412043780621 0681087207 0496931725 Pool (1=yes 0=no)[Yes] 01126 00089 00131
Log(Vacancies amp Rent Loss rentable sf) Pool (1=yes 0=no)[Yes] 01125884395 11191712315 1192 0113345701 506840641957 09933190097 032527325 Outdoor Common Area (1=yes 0=no)[Yes] 02673 -00803 -00764
Log(Vacancies amp Rent Loss rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 02672618233 13063824429 3064 01690835398 1429144230275 15806495624 01161688791 Walk Score 00102 00065 00066
Log(Vacancies amp Rent Loss rentable sf) Walk Score 00101642302 10102160615 102 00040763935 1219632686439 24934369735 00139912712 of Unfurnished Apartments -00003 -00009 -00008
Log(Vacancies amp Rent Loss rentable sf) of Unfurnished Apartments -0000250981 09997490505 -003 00006011213 142449410245 -04175214322 06769256723 Average Apt Unit Size -00003 -00002 -00002
Log(Vacancies amp Rent Loss rentable sf) Average Apt Unit Size -00002575258 09997425074 -003 00004990119 1315989429881 -05160713681 06066705884 Age -00026 00008 00015
Log(Vacancies amp Rent Loss rentable sf) Age -00026152008 09973882158 -026 00056263988 1391583522195 -04648090107 06427946925 Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00099 00043 00252
Log(Vacancies amp Rent Loss rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00099001013 10099492694 099 0100821633 1384002310718 00981942166 09219201454
Log(Total Rents Collected rentable sf) Intercept 30195696974 204824761253 194825 04164909532 1420770663705 72500246992 0
Log(Total Rents Collected rentable sf) Green Certified (1=yes 0=no)[Yes] 00996165255 11047471944 1047
Hopkins Erin Hopkins Erincant provide a confidencd interval for it
00590542761 1286416575023 16868638818 0094053065
Log(Total Rents Collected rentable sf) Gym (1=yes 0=no)[Yes] 00684081888 10708023088 708 0096210834 1330244953516 07110237581 04783143732
Log(Total Rents Collected rentable sf) Pool (1=yes 0=no)[Yes] 00088712036 10089106694 089 00916333982 708572236354 00968119025 09231490817
Log(Total Rents Collected rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00836597449 09197441505 -803 01126005752 1404546011941 -07429779537 04587359136
Log(Total Rents Collected rentable sf) Walk Score 0006479206 10065002414 065 0002794287 1413201347208 23187331419 00218436949
Log(Total Rents Collected rentable sf) of Unfurnished Apartments -00008678845 0999132492 -009 00003932429 1359586026848 -22069932213 00289920945
Log(Total Rents Collected rentable sf) Average Apt Unit Size -00002078918 09997921298 -002 00003300088 1382568544162 -06299582685 05297616269
Log(Total Rents Collected rentable sf) Age 00008364704 10008368204 008 00037477419 1387794745176 02231931757 08237133506
Log(Total Rents Collected rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00042999624 10043092206 043 0069466499 142786243042 00618998008 09507291881
Log(Total Actual Collections rentable sf) Intercept 30681072891 215011686418 205012 04070110501 1415072794017 75381424868 0
Log(Total Actual Collections rentable sf) Green Certified (1=yes 0=no)[Yes] 00944491888 10990533175 991 00578900924 1291837028308 16315259643 01052148631
Log(Total Actual Collections rentable sf) Gym (1=yes 0=no)[Yes] 00739127176 10767128233 767 0094247393 1335821297113 07842415071 04342868782
Log(Total Actual Collections rentable sf) Pool (1=yes 0=no)[Yes] 00130418887 10131273051 131 00885804441 654593026021 01472321442 08834013324
Log(Total Actual Collections rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00794248992 0923647384 -764 01101507414 1410305976559 -07210564195 04720684016
Log(Total Actual Collections rentable sf) Walk Score 00065530115 10065745295 066 00027272037 14047408887 24028316857 00175745575
Log(Total Actual Collections rentable sf) of Unfurnished Apartments -0000833078 09991672689 -008 00003850262 1365168778586 -21636916411 00322285543
Log(Total Actual Collections rentable sf) Average Apt Unit Size -00002169447 09997830788 -002 00003233576 1393662972101 -06709126047 05033865944
Log(Total Actual Collections rentable sf) Age 00015178151 10015189676 015 0003670824 1398532082324 04134807595 06798877496
Log(Total Actual Collections rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00249154485 10252284322 252 0067842812 1423468871242 03672525904 07139760316
Log(Management Fee rentable sf) Intercept -02128803278 08082528568 -1917 04254329778 585619088893 -0500385111 06186792644
Log(Management Fee rentable sf) Green Certified (1=yes 0=no)[Yes] 0019865513 10200641454 201 00593086525 1354977267554 03349513461 07381797603
Log(Management Fee rentable sf) Gym (1=yes 0=no)[Yes] -00082052627 09918283086 -082 00958032958 1386068833723 -00856469772 09318706455
Log(Management Fee rentable sf) Pool (1=yes 0=no)[Yes] 00174275629 10175803089 176 00771880661 202180965349 02257805358 08236388274
Log(Management Fee rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00153191452 10154370848 154 01103651216 1423896402644 01388042255 08898009734
Log(Management Fee rentable sf) Walk Score 00070459229 10070708039 071 00028008303 805559990921 25156550566 0013868745
Log(Management Fee rentable sf) of Unfurnished Apartments -0001358177 09986427449 -014 00003916726 1421224837061 -34676335479 00006950146
Log(Management Fee rentable sf) Average Apt Unit Size -00005130214 09994871101 -005 00003375961 1007585612206 -15196307445 0131735624
Log(Management Fee rentable sf) Age 00013613923 10013623194 014 00037151697 1277713043957 03664414822 07146417588
Log(Management Fee rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -00674463479 09347778721 -652 00657081953 1299283630266 -10264525997 03065854809
Log(Total Utilities Rentable sf) Intercept -03748562337 06873880949 -3126 04464274077 1402143832266 -08396801522 04025171642
Log(Total Utilities Rentable sf) Green Certified (1=yes 0=no)[Yes] 00873163337 10912418217 912 0064576715 1358457024729 13521334071 01785794114
Log(Total Utilities Rentable sf) Gym (1=yes 0=no)[Yes] 01175979311 11247917766 1248 01048349264 1384172144229 11217438221 02639135776
Log(Total Utilities Rentable sf) Pool (1=yes 0=no)[Yes] 00115680134 10116351816 116 00928512423 72633370166 01245865221 09011950626
Log(Total Utilities Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00222539972 10225034645 225 01216524447 1425571484619 01829309493 0855112103
Log(Total Utilities Rentable sf) Walk Score 00068649233 10068885409 069 00029812807 1396033046894 23026759291 00227754146
Log(Total Utilities Rentable sf) of Unfurnished Apartments -00006773222 09993229071 -007 00004273761 1401067188346 -15848386198 01152575495
Log(Total Utilities Rentable sf) Average Apt Unit Size -00003442022 0999655857 -003 00003581401 1425120147852 -09610825805 03381384619
Log(Total Utilities Rentable sf) Age 00048795122 10048914364 049 00040600929 1425855030198 12018227897 02314244716
Log(Total Utilities Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -01198355423 08870663096 -1129 00742421382 1413320388001 -16141176043 01087323819
Log(MampR rentable sf) Intercept -09030689887 04053238148 -5947 0437858541 1384008312652 -20624674504 00410332652
Log(MampR rentable sf) Green Certified (1=yes 0=no)[Yes] 00937424436 10982768413 983 00639155521 1376081716673 14666609392 01447499128
Log(MampR rentable sf) Gym (1=yes 0=no)[Yes] 00037664885 10037735907 038 01036113865 1396450691334 00363520715 09710535435
Log(MampR rentable sf) Pool (1=yes 0=no)[Yes] 01319613595 11410642271 1411 00887446725 719561267791 14869778183 0141389644
Log(MampR rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00521515872 09491849716 -508 01197720975 1428478988157 -04354235112 06639122497
Log(MampR rentable sf) Walk Score 00110131704 10110740386 111 00029197236 1385662208531 37719907631 00002391344
Log(MampR rentable sf) of Unfurnished Apartments -00008849955 09991153959 -009 00004219429 1410140957414 -20974297602 0037740228
Log(MampR rentable sf) Average Apt Unit Size 00000594506 10000594524 001 0000353075 1429981472006 01683796031 08665225748
Log(MampR rentable sf) Age 0007624822 1007653965 077 00039990018 142990029884 19066812998 00585678315
Log(MampR rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00598131349 10616381449 616 00727173027 1406732379184 08225433659 04121598071
Log(Subtotal Maintenance rentable sf) Intercept -07997344997 04494482769 -5506 0489167182 1380935604874 -16348899298 01043496414
Log(Subtotal Maintenance rentable sf) Green Certified (1=yes 0=no)[Yes] 01180969773 11253532398 1254 00707986514 1348907221481 16680681771 00976219515
Log(Subtotal Maintenance rentable sf) Gym (1=yes 0=no)[Yes] 00409351965 10417845921 418 01148796072 1378640116803 03563312718 07221372278
Log(Subtotal Maintenance rentable sf) Pool (1=yes 0=no)[Yes] 01515780559 11636691295 1637 0100780712 617547240206 15040383505 01376688864
Log(Subtotal Maintenance rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -0078076377 09248937833 -751 01331885868 1426567369893 -05862092154 05586613077
Log(Subtotal Maintenance rentable sf) Walk Score 0011889233 10119601909 120 00032614069 1377504918879 36454307183 00003773801
Log(Subtotal Maintenance rentable sf) of Unfurnished Apartments -00008153416 09991849907 -008 00004682078 1398534995511 -17414095506 00838107083
Log(Subtotal Maintenance rentable sf) Average Apt Unit Size 00005083484 10005084776 005 00003930253 1428434249161 12934242295 01979520949
Log(Subtotal Maintenance rentable sf) Age 00104106727 10104650523 105 00044515054 1428449267664 23386858733 00207383998
Log(Subtotal Maintenance rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 02440298206 12763823925 2764 0081177414 1402563601749 30061295196 00031359748
Log(Property Insurance rentable sf) Intercept -08916874806 04099633635 -5900 04516384713 1429624291993 -19743390727 00502702101
Log(Property Insurance rentable sf) Green Certified (1=yes 0=no)[Yes] 01239058141 11319092561 1319 0062692592 1281678143933 19764027959 00502564371
Log(Property Insurance rentable sf) Gym (1=yes 0=no)[Yes] -0003522638 09964835593 -035 01024969537 1314939748594 -0034368221 09726356404
Log(Property Insurance rentable sf) Pool (1=yes 0=no)[Yes] 00227423743 10230029538 230 01040308572 1125700947624 02186118131 08273482928
Log(Property Insurance rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00155809876 10157030041 157 01206677853 1368483458399 01291230096 08974498986
Log(Property Insurance rentable sf) Walk Score 00072977866 10073244804 073 00030353828 1428602075435 24042392705 00174877086
Log(Property Insurance rentable sf) of Unfurnished Apartments -00010061941 09989943119 -010 0000420017 1337858380697 -23956034086 00179774093
Log(Property Insurance rentable sf) Average Apt Unit Size -00006330482 09993671521 -006 00003514502 1338864329416 -18012458048 0073914725
Log(Property Insurance rentable sf) Age 00009661099 10009665767 010 00039921418 1338497494964 02420028921 08091483095
Log(Property Insurance rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -00520208103 09493091112 -507 00749301111 1411273861679 -06942577501 04886618561
Log(Total All Expenses Rentable sf) Intercept 17410862845 57035357214 47035 03946731547 141889623796 44114636723 00000201648
Log(Total All Expenses Rentable sf) Green Certified (1=yes 0=no)[Yes] 01231722438 11310792255 1311 00565275641 1341244163534 21789766772 00310802733
Log(Total All Expenses Rentable sf) Gym (1=yes 0=no)[Yes] 00096244971 10096709615 097 00919378962 1370603130567 01046847658 09167789899
Log(Total All Expenses Rentable sf) Pool (1=yes 0=no)[Yes] 01610294116 11747195186 1747 00846545666 801516751987 19021940341 00607378863
Log(Total All Expenses Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00361842114 09644626121 -355 01071504659 1418739239709 -03376953252 07360919324
Log(Total All Expenses Rentable sf) Walk Score 00087371658 10087754463 088 00026426023 1411809488418 33062734678 00011989895
Log(Total All Expenses Rentable sf) of Unfurnished Apartments -00008720665 09991283137 -009 00003752966 1389800988186 -23236728617 00215934791
Log(Total All Expenses Rentable sf) Average Apt Unit Size -0000155413 0999844599 -002 00003145108 1409449329598 -0494142052 06219751067
Log(Total All Expenses Rentable sf) Age 00015666155 10015678433 016 00035695206 1412387206124 04388868073 06614142124
Log(Total All Expenses Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00157918953 10159172462 159 00657593447 1424551160559 02401467861 08105616925
Log(NOI Rentable sf) Intercept 27416093787 155119295878 145119 049686036 1426328429735 55178669889 0000000157
Log(NOI Rentable sf) Green Certified (1=yes 0=no)[Yes] 00932241108 10977077159 977 00701671113 1292740226257 13286012361 01863200879
Log(NOI Rentable sf) Gym (1=yes 0=no)[Yes] 0111280688 11177085902 1177 0114413579 13320261997 09726178396 03325061802
Log(NOI Rentable sf) Pool (1=yes 0=no)[Yes] -00608871507 0940929417 -591 01107002034 838263437204 -05500184174 05837693269
Log(NOI Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -01393113526 08699571229 -1300 01340931949 1397855428856 -10389144106 03006382455
Log(NOI Rentable sf) Walk Score 00045000262 10045101666 045 0003337636 1423581725818 13482675372 01797136327
Log(NOI Rentable sf) of Unfurnished Apartments -00007116645 09992885887 -007 00004679272 1358400867851 -15208872073 01306124688
Log(NOI Rentable sf) Average Apt Unit Size -00001937801 09998062387 -002 00003921685 1372175013367 -04941245389 06220083144
Log(NOI Rentable sf) Age 00034607088 1003466704 035 00044548378 1376438770548 07768428318 04385844885
Log(NOI Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00488697769 10500835966 501 00828565286 1429949688826 05898120243 0556247504
Concessions rentable sf Intercept 0091580439 10959049266 959 12772069558 1418541020247 00717036801 09429387231
Concessions rentable sf Green Certified (1=yes 0=no)[Yes] 01110697527 11174728508 1175 01814813765 1293641668833 06120173584 05416004511
Concessions rentable sf Gym (1=yes 0=no)[Yes] -05094051331 06008529 -3991 02955403985 1336296409402 -17236395961 00870857294
Concessions rentable sf Pool (1=yes 0=no)[Yes] -00886152984 09151975838 -848 02791864929 69298361986 -03174053928 07518903943
Concessions rentable sf Outdoor Common Area (1=yes 0=no)[Yes] 04576291372 15803228114 5803 03455726285 1408379747117 13242632646 01875606951
Concessions rentable sf Walk Score 00120688741 10121419968 121 00085630896 1409791646097 14094064916 01609170757
Concessions rentable sf of Unfurnished Apartments -00007045588 09992956894 -007 00012075862 1364744404696 -05834438741 05605574922
Concessions rentable sf Average Apt Unit Size -00003193903 09996806607 -003 00010135961 1389703034326 -03151061148 07531537379
Concessions rentable sf Age 00130223218 10131074815 131 00115086772 139464867267 11315220311 02597773256
Concessions rentable sf Building Mix (0=multifamily 1 = mixed-use)[Mixed] -03719888249 06893619462 -3106 02129597676 1426034459287 -17467563435 00828326573
Y Term Practical Interpretation increasedecrease Probgt|t| Total Rents Collected Subtotal Maintenance Property Insurance Total Expenses
Log(Total Rents Collected rentable sf) Green Certified (1=yes 0=no)[Yes] 1047
Hopkins Erin Hopkins Erincant provide a confidencd interval for it
009 130837635934 13311489362 01847683215 67633617021
Log(Subtotal Maintenance rentable sf) Green Certified (1=yes 0=no)[Yes] 1254 010 267662568114 08839769656 0489370035 133484365708
Log(Property Insurance rentable sf) Green Certified (1=yes 0=no)[Yes] 1319 005 44887430941 07758149459 02417429373 41261056301
Log(Total All Expenses Rentable sf) Green Certified (1=yes 0=no)[Yes] 1311 003 103066299601 12390720963 00474343371 5067818194
206907297628 2385711159 02072356932 9194606526
318766961061 22633758919 04452208547 128154919371
92461669878 09545425866 01280485733 38832017239
143925847783 15966970999 02187893202 54018796992
176714125561 02006495648 02876780533 58992020575
232897515382 0726170332 00787094673 69517596041
Non-green sf average Financial Green Impact sf Financial green impact differencesf Green impactapt Green impactproperty 51780910259 05203453537 00494304264 22609306646
178353784788 17547710996 02048626598 95961490345
Total Rents Collected sf 1047 2356 2603 $ 247 $ 2189 $ 551683 113769814112 12206875575 03432049607 118156743193
Subtotal Maintenance sf 1254 160 180 $ 020 $ 178 $ 44843 301239240258 10561596849 0204970258 110903994641
Property Insurance sf 1319 036 041 $ 005 $ 42 $ 10601 918584487 08376649832 00914663991 4146546939
Total Expenses sf 1311 852 963 $ 112 $ 990 $ 249535 265183769576 19294929362 03500602344 108447158033
226055903548 13557897255 03988791741 10971207244
334894587007 17970717884 05122599181 124640467569
5542518821 31394328066 04875650977 200668786372
112655732059 13445692884 02031297086 43995867235
129139526152 1168069688 00518980213 4651511283
Avg Apt Size Avg of Units 151098478261 13975 02004130435 51873478261
192155046737 21015937064 02616549091 8357602264
887 252 514840434082 52766375656 02375463267 174375582672
81421971535 06694487849 00899424521 2748686222
30246817244 21594341279 03308639536 97277207077
488523197409 27727612187 0646599696 130752346177
318750561687 38903340576 03852711795 142409683793
310384048163 43119745565 03335824966 138846874251
Green Certification Impacts 48578215663 0350218077 03095574205 23695139998
Dependent Variable Per Square Foot Per Apartment Per Property 192237574111 13374121765 02053242615 84027476689
Total Rents Collected $ 247 $ 2189 $ 551683 62979912788 05343191729 00816289996 45390243161
Subtotal Maintenance $ 020 $ 178 $ 44843 148378959661 14651715909 02004049722 80900580942
Property Insurance $ 005 $ 42 $ 10601 196798863889 11267176542 02499920663 90266351433
Total Expenses $ 112 $ 990 $ 249535 281508617823 09686995581 01118170881 119863342059
58584849751 0106864586 04187933949 44180073736
126756167712 1265684516 02796423029 87538414144
176550549412 24957340254 02343899179 88904473415
252421786235 28063734042 03142238564 133776179357
191875932907 13637043757 03440324697 987034902
159508092934 13109374847 02091697013 98967206196
342739845467 09614092295 03929892961 129755936769
192510355167 32804720611 01743191858 134560085596
257829360401 13666691797 01527100011 56329812754
358622391559 14251973427 03437553732 101098436889
217744157919 24046486586 01864745418 68711016642
222112557003 22022148788 07879755849 97807110765
202535763689 04548110217 10003436751 127886698915
155879815194 23816051158 04816227091 119033557201
11066078843 23413202706 06413902496 81812176347
151924709838 18873401649 05711000232 105403544539
163604010853 16052949068 02714509557 82030431823
133974400047 11018949984 03560839935 59096477943
133528448829 13647819036 02538331588 66159357367
187400008959 16889788117 030870974 115752907975
155246293804 18308314258 03852380906 116657595614
34082816218 05447090935 09838411173 13641308574
201220131342 11192465065 03188344246 93786154242
139108532616 13313944086 03887737775 69698295902
191656858207 15717927807 06002115982 119380046581
200921599083 12597596226 03267106334 82474085087
57536742874 00453219212 00300766262 10569757217
120548294116 11607892527 03275736725 74435143659
123188534664 1404028789 03510968138 78762080781
59543029729 0899713372 01652374748 28143456117
144215639215 19193238703 02899837711 67370054173
340046684831 19619729415 04325060698 120608464163
208244777176 28183367899 037 73104355304
234349752613 19432301154 0351134881 107484594815
136370903402 17029933791 01989576534 50899930579
149968383478 14209793679 02735642323 63813718869
81145819519 0920766851 00474564037 30674168785
226307446224 12529424404 02036192613 69235920453
132787305462 08047482453 01232346659 41808605432
251519090044 21798380428 0376480317 80396623551
492269138212 12196979039 02981674812 128316943664
107177195916 08016374211 0113808252 40618650625
128238528886 10751217142 01843492552 6476830365
57582611557 11908427448 0874334536 134004066235
43835651097 34822540694 03904989384 146763800425
205787355386 1429219053 02624404931 5321754079
463148430769 07709353846 06150738462 101617384615
377949548611 28670972222 08296944444 109743576389
360087564176 03501711352 18551055334 110041072447
18371979614 18232783153 07267294459 61184870906
678035276363 13443501226 10431616676 167533484248
56073359244 10138647576 01591318768 51440832304
189431314891 05101557395 03677787459 41010945328
383550342095 23244425576 04086557393 98151764619
115544349685 03310482653 037 40344851625
7552318246 0955023726 01241945851 24368780848
133083101881 19451300341 00938801919 48731378614
122308363087 13760780005 01439989014 45100624828
84908269322 10857071617 01155797799 36082570734
263116048067 10733627163 041902582 60372732395
76183752731 09621126305 01069925907 26170373239
172494454001 11781600332 03919686814 59016193131
342076422068 22741368431 03165622465 73557085549
215534567901 1485497076 02210396361 49118778428
314593058927 23798916958 02751353803 121998559501
586535191691 21029046354 02109026171 91979074439
138093310078 14595490221 02142269839 44286283792
227203645682 04584630891 05737147639 93344680527
572754455737 17713614269 01642228739 92545561671
60603870458 04541110154 01180884676 15902125521
358781017266 33847643857 06854022643 139200146946
342079216629 24477703832 0463059603 67166143833
651201231187 51019950176 12529595849 222094150831
369798669702 21700816928 0444474205 101410502507
421838575952 28823013788 05443272608 151399739597
626095189209 20826275416 04947814184 184651096472
214882899762 25034709712 06359683889 109534721722
274037120739 26718517094 037 67504928595
252667703737 25588590114 05379535858 109041874345
59253832495 01099622961 04620367393 19262874847
150862851538 18053109961 07398729558 71488607075
111196959019 00928417366 037 09427894164
667360269858 07921160191 02989609494 104670639024
2356 160 036 852
Log(Vacancies amp Rent Loss rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified -00318 00916 -00313 07289
Fitness Center 01008 01480 01060 04969
Pool 01126 01133 01192 03253
Outdoor Common Area 02673 01691 03064 01162
Walk Score 00102 00041 00102 00140
of Unfurnished Apartments -00003 00006 -00003 06769
Average Apt Unit Size -00003 00005 -00003 06067
Age -00026 00056 -00026 06428
Building Mix 00099 01008 00099 09219
Note R2 = 645
Log(Total Rents Collected rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00996 00591 01047 00941
Fitness Center 00684 00962 00708 04783
Pool 00089 00916 00089 09231
Outdoor Common Area -00837 01126 -00803 04587
Walk Score 00065 00028 00065 00218
of Unfurnished Apartments -00009 00004 -00009 00290
Average Apt Unit Size -00002 00003 -00002 05298
Age 00008 00037 00008 08237
Building Mix 00043 00695 00043 09507
Note R2 = 3318
Log(Total Actual Collections rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00944 00579 00991 01052
Fitness Center 00739 00942 00767 04343
Pool 00130 00886 00131 08834
Outdoor Common Area -00794 01102 -00764 04721
Walk Score 00066 00027 00066 00176
of Unfurnished Apartments -00008 00004 -00008 00322
Average Apt Unit Size -00002 00003 -00002 05034
Age 00015 00037 00015 06799
Building Mix 00249 00678 00252 07140
Note R2 = 3219
Log(Management Fee rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00199 00593 00201 07382
Fitness Center -00082 00958 -00082 09319
Pool 00174 00772 00176 08236
Outdoor Common Area 00153 01104 00154 08898
Walk Score 00070 00028 00071 00139
of Unfurnished Apartments -00014 00004 -00014 00007
Average Apt Unit Size -00005 00003 -00005 01317
Age 00014 00037 00014 07146
Building Mix -00674 00657 -00652 03066
Note R2 = 1697
Log(Total Utilities Rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00873 00646 00912 01786
Fitness Center 01176 01048 01248 02639
Pool 00116 00929 00116 09012
Outdoor Common Area 00223 01217 00225 08551
Walk Score 00069 00030 00069 00228
of Unfurnished Apartments -00007 00004 -00007 01153
Average Apt Unit Size -00003 00004 -00003 03381
Age 00049 00041 00049 02314
Building Mix -01198 00742 -01129 01087
Note R2 = 2171
Log(MampR rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00937 00639 00983 01447
Fitness Center 00038 01036 00038 09711
Pool 01320 00887 01411 01414
Outdoor Common Area -00522 01198 -00508 06639
Walk Score 00110 00029 00111 00002
of Unfurnished Apartments -00009 00004 -00009 00377
Average Apt Unit Size 00001 00004 00001 08665
Age 00076 00040 00077 00586
Building Mix 00598 00727 00616 04122
Note R2 = 2620
Log(Subtotal Maintenance rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 01181 00708 01254 00976
Fitness Center 00409 01149 00418 07221
Pool 01516 01008 01637 01377
Outdoor Common Area -00781 01332 -00751 05587
Walk Score 00119 00033 00120 00004
of Unfurnished Apartments -00008 00005 -00008 00838
Average Apt Unit Size 00005 00004 00005 01980
Age 00104 00045 00105 00207
Building Mix 02440 00812 02764 00031
Note R2 = 3218
Log(Property Insurance rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 01239 00627 01319 00503
Fitness Center -00035 01025 -00035 09726
Pool 00227 01040 00230 08273
Outdoor Common Area 00156 01207 00157 08974
Walk Score 00073 00030 00073 00175
of Unfurnished Apartments -00010 00004 -00010 00180
Average Apt Unit Size -00006 00004 -00006 00739
Age 00010 00040 00010 08091
Building Mix -00520 00749 -00507 04887
Note R2 = 3902
Log(Total All Expenses Rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 01232 00565 01311 00311
Fitness Center 00096 00919 00097 09168
Pool 01610 00847 01747 00607
Outdoor Common Area -00362 01072 -00355 07361
Walk Score 00087 00026 00088 00012
of Unfurnished Apartments -00009 00004 -00009 00216
Average Apt Unit Size -00002 00003 -00002 06220
Age 00016 00036 00016 06614
Building Mix 00158 00658 00159 08106
Note R2 = 2943
Log(NOI Rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00932 00702 00977 01863
Fitness Center 01113 01144 01177 03325
Pool -00609 01107 -00591 05838
Outdoor Common Area -01393 01341 -01300 03006
Walk Score 00045 00033 00045 01797
of Unfurnished Apartments -00007 00005 -00007 01306
Average Apt Unit Size -00002 00004 -00002 06220
Age 00035 00045 00035 04386
Building Mix 00489 00829 00501 05562
Note R2 = 3669
Concessions rentable sf
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 01111 01815 01175 05416
Fitness Center -05094 02955 -03991 00871
Pool -00886 02792 -00848 07519
Outdoor Common Area 04576 03456 05803 01876
Walk Score 00121 00086 00121 01609
of Unfurnished Apartments -00007 00012 -00007 05606
Average Apt Unit Size -00003 00010 -00003 07532
Age 00130 00115 00131 02598
Building Mix -03720 02130 -03106 00828
Note R2 = 2402
Y Term ~Bias Estimate EXP estimate Practical Interpretation increasedecrease Std Error DFDen t Ratio Probgt|t| Estimate Std Error Practical Interpretation Significance
Log(Vacancies amp Rent Loss rentable sf) Intercept 00893029328 10934118365 934 06116337119 1083785495375 01460072116 08841869197 Green Cert
Log(Vacancies amp Rent Loss rentable sf) Green Certified (1=yes 0=no)[Yes] -0031825668 09686754385 -313 009164153 139931853592 -03472843369 07288994904 Gym
Log(Vacancies amp Rent Loss rentable sf) Gym (1=yes 0=no)[Yes] 01007730854 11060256399 1060 01479591517 1412043780621 0681087207 0496931725
Log(Vacancies amp Rent Loss rentable sf) Pool (1=yes 0=no)[Yes] 01125884395 11191712315 1192 0113345701 506840641957 09933190097 032527325
Log(Vacancies amp Rent Loss rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 02672618233 13063824429 3064 01690835398 1429144230275 15806495624 01161688791
Log(Vacancies amp Rent Loss rentable sf) Walk Score 00101642302 10102160615 102 00040763935 1219632686439 24934369735 00139912712
Log(Vacancies amp Rent Loss rentable sf) of Unfurnished Apartments -0000250981 09997490505 -003 00006011213 142449410245 -04175214322 06769256723
Log(Vacancies amp Rent Loss rentable sf) Average Apt Unit Size -00002575258 09997425074 -003 00004990119 1315989429881 -05160713681 06066705884
Log(Vacancies amp Rent Loss rentable sf) Age -00026152008 09973882158 -026 00056263988 1391583522195 -04648090107 06427946925
Log(Vacancies amp Rent Loss rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00099001013 10099492694 099 0100821633 1384002310718 00981942166 09219201454
Log(Total Rents Collected rentable sf) Intercept 30195696974 204824761253 194825 04164909532 1420770663705 72500246992 0
Log(Total Rents Collected rentable sf) Green Certified (1=yes 0=no)[Yes] 00996165255 11047471944 1047
Hopkins Erin Hopkins Erincant provide a confidencd interval for it
00590542761 1286416575023 16868638818 0094053065 0099617 00590542761 1047
Log(Total Rents Collected rentable sf) Gym (1=yes 0=no)[Yes] 00684081888 10708023088 708 0096210834 1330244953516 07110237581 04783143732
Log(Total Rents Collected rentable sf) Pool (1=yes 0=no)[Yes] 00088712036 10089106694 089 00916333982 708572236354 00968119025 09231490817
Log(Total Rents Collected rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00836597449 09197441505 -803 01126005752 1404546011941 -07429779537 04587359136
Log(Total Rents Collected rentable sf) Walk Score 0006479206 10065002414 065 0002794287 1413201347208 23187331419 00218436949
Log(Total Rents Collected rentable sf) of Unfurnished Apartments -00008678845 0999132492 -009 00003932429 1359586026848 -22069932213 00289920945 variance components to talk about how much of the total error that is attribuatle to city
Log(Total Rents Collected rentable sf) Average Apt Unit Size -00002078918 09997921298 -002 00003300088 1382568544162 -06299582685 05297616269
Log(Total Rents Collected rentable sf) Age 00008364704 10008368204 008 00037477419 1387794745176 02231931757 08237133506
Log(Total Rents Collected rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00042999624 10043092206 043 0069466499 142786243042 00618998008 09507291881
Log(Total Actual Collections rentable sf) Intercept 30681072891 215011686418 205012 04070110501 1415072794017 75381424868 0
Log(Total Actual Collections rentable sf) Green Certified (1=yes 0=no)[Yes] 00944491888 10990533175 991 00578900924 1291837028308 16315259643 01052148631
Log(Total Actual Collections rentable sf) Gym (1=yes 0=no)[Yes] 00739127176 10767128233 767 0094247393 1335821297113 07842415071 04342868782
Log(Total Actual Collections rentable sf) Pool (1=yes 0=no)[Yes] 00130418887 10131273051 131 00885804441 654593026021 01472321442 08834013324
Log(Total Actual Collections rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00794248992 0923647384 -764 01101507414 1410305976559 -07210564195 04720684016
Log(Total Actual Collections rentable sf) Walk Score 00065530115 10065745295 066 00027272037 14047408887 24028316857 00175745575
Log(Total Actual Collections rentable sf) of Unfurnished Apartments -0000833078 09991672689 -008 00003850262 1365168778586 -21636916411 00322285543
Log(Total Actual Collections rentable sf) Average Apt Unit Size -00002169447 09997830788 -002 00003233576 1393662972101 -06709126047 05033865944
Log(Total Actual Collections rentable sf) Age 00015178151 10015189676 015 0003670824 1398532082324 04134807595 06798877496
Log(Total Actual Collections rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00249154485 10252284322 252 0067842812 1423468871242 03672525904 07139760316
Log(Management Fee rentable sf) Intercept -02128803278 08082528568 -1917 04254329778 585619088893 -0500385111 06186792644
Log(Management Fee rentable sf) Green Certified (1=yes 0=no)[Yes] 0019865513 10200641454 201 00593086525 1354977267554 03349513461 07381797603
Log(Management Fee rentable sf) Gym (1=yes 0=no)[Yes] -00082052627 09918283086 -082 00958032958 1386068833723 -00856469772 09318706455
Log(Management Fee rentable sf) Pool (1=yes 0=no)[Yes] 00174275629 10175803089 176 00771880661 202180965349 02257805358 08236388274
Log(Management Fee rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00153191452 10154370848 154 01103651216 1423896402644 01388042255 08898009734
Log(Management Fee rentable sf) Walk Score 00070459229 10070708039 071 00028008303 805559990921 25156550566 0013868745
Log(Management Fee rentable sf) of Unfurnished Apartments -0001358177 09986427449 -014 00003916726 1421224837061 -34676335479 00006950146
Log(Management Fee rentable sf) Average Apt Unit Size -00005130214 09994871101 -005 00003375961 1007585612206 -15196307445 0131735624
Log(Management Fee rentable sf) Age 00013613923 10013623194 014 00037151697 1277713043957 03664414822 07146417588
Log(Management Fee rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -00674463479 09347778721 -652 00657081953 1299283630266 -10264525997 03065854809
Log(Total Utilities Rentable sf) Intercept -03748562337 06873880949 -3126 04464274077 1402143832266 -08396801522 04025171642
Log(Total Utilities Rentable sf) Green Certified (1=yes 0=no)[Yes] 00873163337 10912418217 912 0064576715 1358457024729 13521334071 01785794114
Log(Total Utilities Rentable sf) Gym (1=yes 0=no)[Yes] 01175979311 11247917766 1248 01048349264 1384172144229 11217438221 02639135776
Log(Total Utilities Rentable sf) Pool (1=yes 0=no)[Yes] 00115680134 10116351816 116 00928512423 72633370166 01245865221 09011950626
Log(Total Utilities Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00222539972 10225034645 225 01216524447 1425571484619 01829309493 0855112103
Log(Total Utilities Rentable sf) Walk Score 00068649233 10068885409 069 00029812807 1396033046894 23026759291 00227754146
Log(Total Utilities Rentable sf) of Unfurnished Apartments -00006773222 09993229071 -007 00004273761 1401067188346 -15848386198 01152575495
Log(Total Utilities Rentable sf) Average Apt Unit Size -00003442022 0999655857 -003 00003581401 1425120147852 -09610825805 03381384619
Log(Total Utilities Rentable sf) Age 00048795122 10048914364 049 00040600929 1425855030198 12018227897 02314244716
Log(Total Utilities Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -01198355423 08870663096 -1129 00742421382 1413320388001 -16141176043 01087323819
Log(MampR rentable sf) Intercept -09030689887 04053238148 -5947 0437858541 1384008312652 -20624674504 00410332652
Log(MampR rentable sf) Green Certified (1=yes 0=no)[Yes] 00937424436 10982768413 983 00639155521 1376081716673 14666609392 01447499128
Log(MampR rentable sf) Gym (1=yes 0=no)[Yes] 00037664885 10037735907 038 01036113865 1396450691334 00363520715 09710535435
Log(MampR rentable sf) Pool (1=yes 0=no)[Yes] 01319613595 11410642271 1411 00887446725 719561267791 14869778183 0141389644
Log(MampR rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00521515872 09491849716 -508 01197720975 1428478988157 -04354235112 06639122497
Log(MampR rentable sf) Walk Score 00110131704 10110740386 111 00029197236 1385662208531 37719907631 00002391344
Log(MampR rentable sf) of Unfurnished Apartments -00008849955 09991153959 -009 00004219429 1410140957414 -20974297602 0037740228
Log(MampR rentable sf) Average Apt Unit Size 00000594506 10000594524 001 0000353075 1429981472006 01683796031 08665225748
Log(MampR rentable sf) Age 0007624822 1007653965 077 00039990018 142990029884 19066812998 00585678315
Log(MampR rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00598131349 10616381449 616 00727173027 1406732379184 08225433659 04121598071
Log(Subtotal Maintenance rentable sf) Intercept -07997344997 04494482769 -5506 0489167182 1380935604874 -16348899298 01043496414
Log(Subtotal Maintenance rentable sf) Green Certified (1=yes 0=no)[Yes] 01180969773 11253532398 1254 00707986514 1348907221481 16680681771 00976219515
Log(Subtotal Maintenance rentable sf) Gym (1=yes 0=no)[Yes] 00409351965 10417845921 418 01148796072 1378640116803 03563312718 07221372278
Log(Subtotal Maintenance rentable sf) Pool (1=yes 0=no)[Yes] 01515780559 11636691295 1637 0100780712 617547240206 15040383505 01376688864
Log(Subtotal Maintenance rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -0078076377 09248937833 -751 01331885868 1426567369893 -05862092154 05586613077
Log(Subtotal Maintenance rentable sf) Walk Score 0011889233 10119601909 120 00032614069 1377504918879 36454307183 00003773801
Log(Subtotal Maintenance rentable sf) of Unfurnished Apartments -00008153416 09991849907 -008 00004682078 1398534995511 -17414095506 00838107083
Log(Subtotal Maintenance rentable sf) Average Apt Unit Size 00005083484 10005084776 005 00003930253 1428434249161 12934242295 01979520949
Log(Subtotal Maintenance rentable sf) Age 00104106727 10104650523 105 00044515054 1428449267664 23386858733 00207383998
Log(Subtotal Maintenance rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 02440298206 12763823925 2764 0081177414 1402563601749 30061295196 00031359748
Log(Property Insurance rentable sf) Intercept -08916874806 04099633635 -5900 04516384713 1429624291993 -19743390727 00502702101
Log(Property Insurance rentable sf) Green Certified (1=yes 0=no)[Yes] 01239058141 11319092561 1319 0062692592 1281678143933 19764027959 00502564371
Log(Property Insurance rentable sf) Gym (1=yes 0=no)[Yes] -0003522638 09964835593 -035 01024969537 1314939748594 -0034368221 09726356404
Log(Property Insurance rentable sf) Pool (1=yes 0=no)[Yes] 00227423743 10230029538 230 01040308572 1125700947624 02186118131 08273482928
Log(Property Insurance rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00155809876 10157030041 157 01206677853 1368483458399 01291230096 08974498986
Log(Property Insurance rentable sf) Walk Score 00072977866 10073244804 073 00030353828 1428602075435 24042392705 00174877086
Log(Property Insurance rentable sf) of Unfurnished Apartments -00010061941 09989943119 -010 0000420017 1337858380697 -23956034086 00179774093
Log(Property Insurance rentable sf) Average Apt Unit Size -00006330482 09993671521 -006 00003514502 1338864329416 -18012458048 0073914725
Log(Property Insurance rentable sf) Age 00009661099 10009665767 010 00039921418 1338497494964 02420028921 08091483095
Log(Property Insurance rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -00520208103 09493091112 -507 00749301111 1411273861679 -06942577501 04886618561
Log(Total All Expenses Rentable sf) Intercept 17410862845 57035357214 47035 03946731547 141889623796 44114636723 00000201648
Log(Total All Expenses Rentable sf) Green Certified (1=yes 0=no)[Yes] 01231722438 11310792255 1311 00565275641 1341244163534 21789766772 00310802733
Log(Total All Expenses Rentable sf) Gym (1=yes 0=no)[Yes] 00096244971 10096709615 097 00919378962 1370603130567 01046847658 09167789899
Log(Total All Expenses Rentable sf) Pool (1=yes 0=no)[Yes] 01610294116 11747195186 1747 00846545666 801516751987 19021940341 00607378863
Log(Total All Expenses Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00361842114 09644626121 -355 01071504659 1418739239709 -03376953252 07360919324
Log(Total All Expenses Rentable sf) Walk Score 00087371658 10087754463 088 00026426023 1411809488418 33062734678 00011989895
Log(Total All Expenses Rentable sf) of Unfurnished Apartments -00008720665 09991283137 -009 00003752966 1389800988186 -23236728617 00215934791
Log(Total All Expenses Rentable sf) Average Apt Unit Size -0000155413 0999844599 -002 00003145108 1409449329598 -0494142052 06219751067
Log(Total All Expenses Rentable sf) Age 00015666155 10015678433 016 00035695206 1412387206124 04388868073 06614142124
Log(Total All Expenses Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00157918953 10159172462 159 00657593447 1424551160559 02401467861 08105616925
Log(NOI Rentable sf) Intercept 27416093787 155119295878 145119 049686036 1426328429735 55178669889 0000000157
Log(NOI Rentable sf) Green Certified (1=yes 0=no)[Yes] 00932241108 10977077159 977 00701671113 1292740226257 13286012361 01863200879
Log(NOI Rentable sf) Gym (1=yes 0=no)[Yes] 0111280688 11177085902 1177 0114413579 13320261997 09726178396 03325061802
Log(NOI Rentable sf) Pool (1=yes 0=no)[Yes] -00608871507 0940929417 -591 01107002034 838263437204 -05500184174 05837693269
Log(NOI Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -01393113526 08699571229 -1300 01340931949 1397855428856 -10389144106 03006382455
Log(NOI Rentable sf) Walk Score 00045000262 10045101666 045 0003337636 1423581725818 13482675372 01797136327
Log(NOI Rentable sf) of Unfurnished Apartments -00007116645 09992885887 -007 00004679272 1358400867851 -15208872073 01306124688
Log(NOI Rentable sf) Average Apt Unit Size -00001937801 09998062387 -002 00003921685 1372175013367 -04941245389 06220083144
Log(NOI Rentable sf) Age 00034607088 1003466704 035 00044548378 1376438770548 07768428318 04385844885
Log(NOI Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00488697769 10500835966 501 00828565286 1429949688826 05898120243 0556247504
Concessions rentable sf Intercept 0091580439 10959049266 959 12772069558 1418541020247 00717036801 09429387231
Concessions rentable sf Green Certified (1=yes 0=no)[Yes] 01110697527 11174728508 1175 01814813765 1293641668833 06120173584 05416004511
Concessions rentable sf Gym (1=yes 0=no)[Yes] -05094051331 06008529 -3991 02955403985 1336296409402 -17236395961 00870857294
Concessions rentable sf Pool (1=yes 0=no)[Yes] -00886152984 09151975838 -848 02791864929 69298361986 -03174053928 07518903943
Concessions rentable sf Outdoor Common Area (1=yes 0=no)[Yes] 04576291372 15803228114 5803 03455726285 1408379747117 13242632646 01875606951
Concessions rentable sf Walk Score 00120688741 10121419968 121 00085630896 1409791646097 14094064916 01609170757
Concessions rentable sf of Unfurnished Apartments -00007045588 09992956894 -007 00012075862 1364744404696 -05834438741 05605574922
Concessions rentable sf Average Apt Unit Size -00003193903 09996806607 -003 00010135961 1389703034326 -03151061148 07531537379
Concessions rentable sf Age 00130223218 10131074815 131 00115086772 139464867267 11315220311 02597773256
Concessions rentable sf Building Mix (0=multifamily 1 = mixed-use)[Mixed] -03719888249 06893619462 -3106 02129597676 1426034459287 -17467563435 00828326573
Page 14: AUGUST 21- 23, 2018 • CLEVELAND, OHIO€¦ · Business Case 2.0: New Research Around High Performing Buildings Thursday 23 rd, 2018 10:30am – 12:00pm

Case Studies

Denver Office

Denver Hotel

San Francisco Multi-family

San Jose Office Sonoma Office

Denver Office ndash energy use and default riskFacilities Management factors HVAC schedule Thermostat setback Supply air temp control VAV min flow control Economizer controls Lighting controlsLevels good average poor

Occupancy factors Occupant density Occupant schedule Plug load density Plug load controlsLevels goodlow average poorhigh

CaseFacilities mgmtfactors

OccupancyFactors

Source EUI change ()

Default risk change (bp)

1 Good GoodLow -54 -248

2 Good Ave -33 -127

3 Ave Ave - -

4 Good PoorHigh +4 +12

5 Poor GoodLow +64 +158

6 Poor Ave +76 +181

7 Poor PoorHigh +132 +268

15

Denver Office ndash energy price and default risk

16

Case Studies ndash summary of risks impacts

Building Source EUI variation ()

Default rate variation (bp)

Default rate variation relative to TREPP avg ()

Denver Office -54 to +132 -248 to +268 -31 to +34

Sonoma Office -40 to +183 -161 to +331 -20 to +41

San Jose Office -62 to +119 -308 to +249 -39 to +31

Denver Hotel -11 to +17 -37 to +49 -5 to +6

San Francisco Multi-family -20 to +26 -72 to +74 -9 to +9

Wholesale price region Default rate variation (bp) Default rate variation relative to TREPP avg ()

Denver area +159 to +501 +20 to +63

Northern California -49 to +705 -6 to +88

Compare to TREPP average default rate of 800bp

17

Case Studies ndash business impactThese results showing the impact of energy on default risk are clearly meaningful I dont currently consider energy efficiency when making a loan and seeing this makes me think I would want to ask about itrdquo

I would like to apply these findings but would want an easy way to use it A simple score or ratio for energy risk would be good In fact I would be interested to pilot test it

Keith Hanley Silicon Valley Bank

18

Looking Ahead

Looking Ahead ndash our visionTo have energy factors fully and routinely incorporated in commercial mortgage valuation accelerating demand for buildings with lower energy risk

20

Show that energy matters

Develop and pilot

interventions Disseminate

best practices Institutionalize

Analysis of energy impacts

Long term

Case studies on actual mortgage loans

Protocols and tools for lenders and owners

Industry Standards

Scope of current effort

RecommendationsLenders Ask owners to provide info on energy cost range

Account for variations in energy use and energy price Could be done as part of Property Condition Assessment Can reference ASTM standard

Incorporate energy risk factor into underwriting and terms eg Interest rate discount for lower risk

Offer additional loan proceeds for EE investments

Owners Ask lenders to account for energy efficiency when setting mortgage

terms Provide data on energy costs to lender

Historical and anticipated In appraisal andor PCA

21

Thank you

Money Matters Exploring the Financial Impacts of Green Certifications in the Multifamily Rental Sector

Erin A Hopkins PhD CAPS LEED Green AssociateAssistant Professor of Property Management

bull Sample 153 properties from 2 of National Multifamily Housing Councilrsquos 2016 50 Largest Apartment Managers

bull Green-certified 2288 of properties (35 properties)bull Methodology Multiple Regression Analysisbull Controls Location Fitness Center Pool Outdoor Common Area Walk

Score of Unfurnished Apartments Average Apartment Unit Size Age Building Mix

bull Limitations Building class not directly taken into account

Overview of Research

Certifications Represented in Sample

Austin Energy Green Buildingreg (AEGB)

Rating System(3)

ENERGY STARreg

(1)

Florida Green Building Coalition

(FGBC)(1)

GreenPoint Rated(4)

LEEDreg

(16)

National Green Building Standardtrade

(NGBS)(11)

Properties by City

2

4

2 2 21 1

3

1 1 12 2

1 1 1

6

1 1

8

11

4

6

14

3

1

19

3

1 1

7

43

2

9

18

2 2

0

2

4

6

8

10

12

14

16

18

20

Summary Statistics of City Datan=153

Summary Satistics of City Data Green Bldgs Summary Satistics of City Data Non-Green Comparables

Descriptive

97

71

100

31

89

69

93

24

0

20

40

60

80

100

120

Fitness Center Pool Outdoor Common Area Mixed-Use Property

Summary Statistics of Green vs Non-Green Propertiesn = 153

Green Non-Green

Descriptive

73228

866

2011

74

259

894

2003

0

500

1000

1500

2000

2500

Walk Score Average Number of Units Average Apt Unit Size (sf) Age

Summary Statistics of Green vs Non-Green Properties

n = 153

Green Non-Green

Findings

Total Rents Collected1047

Total Maintenance1254

Property Insurance1319

Total Expenses1311

Higher rents and expenses

Financial Impacts of Green

Dependent Variable Per Square Foot Per Apartment Per PropertyTotal Rents Collected 247$ 2189$ 551683$ Subtotal Maintenance 020$ 178$ 44843$ Property Insurance 005$ 42$ 10601$ Total Expenses 112$ 990$ 249535$

Coefficients Standard Errors

Tables

Summary of Green Impacts

Summary Table

Discussion

bull Assume efficient operations will offset the higher rent

bull Philanthropic motivesbull Prestige motivesbull Green buildings tend to be newermore

likely to offer the more sought-after amenities and finishes

bull Tend to be in higher-income areaslikely have higher rents

Different motivations for paying higher rent may be in

play

Discussion

Higher Operating Expenses a Surprise

Does not align with much of the existing researchhellipbut no research on effects of green certification on total operating expenses within multifamily rental sector

Many of the certifications represented in this study focus on the design phase of the property vs the operations and maintenance phase

And although promotion of sustainability is on the rise in the multifamily housing sector staff may remain unfamiliar with the unique operations and maintenance of green

buildings

Final Thoughts

Apartment homes represent $13 trillion to the US economy and 5 million new rental households are expected by 2023 (National Multifamily Housing Council 2015)

Upfront capital constraints regulatory issues knowledge limitations and marketing concerns may diminish the attractiveness of multifamily rental green building

certification if not properly managed

Most studies focus on office sector andor strictly rents or property value

This study begins to look at the multifamily rental sector and offer a more comprehensive analysis

Further research is needed with larger datasets to understand effects of green certification on income statement components in the apartment industry as NOI

ultimately determines property market valueOptimism that this study can be the impetus for further research contributions on the

financial environmental and resident satisfaction impacts of green practices and certifications on the multifamily rental sector

Contact informationErin A Hopkinserinz1vtedu

Acknowledgementsbull Todd Feist Sustainability Program Manager at The Institute of

Real Estate Management (IREMreg) for his assistance with this research project

bull Yardi and IREMreg for the grant awarded to support this researchbull The two property management companies for sharing their data

BUILDING PERFORMANCE

UNLOCKINGVALUE

New DOE-driven Research Around High Performing Buildings

AUGUST 23 2018

ANDREW WHITEASSOCIATE MANAGERawhiteretechadvisorscom

2015-2016 bull Research design working group pilot study data lab

2017 bull Connect to Real Estate Research Institute (RERI) Literature review and gap analysis

2018 bull Research agenda request for proposals research project selection and execution

Context Setting ndash DOE Research EffortWhat are the impacts of energy efficiency and high-performance building

features on financial performance of commercial real estate

RERIrsquos mission is to encourage and reward research on real estate as an investment and as an asset class that is both academically rigorous and of value to the institutional real estate investment profession In addition RERI serves to provide a forum through which the real estate academic professional and regulatory communities can interact facilitating the exchange of insights amongst these stakeholders

RERI Overview

Sponsors

Build upon DOErsquos Review of Studies in the Market

bull Focus explicitly on peer-reviewed papers Gap analysis of existing research to

identifybull Questions that have already been

sufficiently provenbull Holes in existing body of research

Academic Inputbull Guidance on which studies to includebull Suggestions for how to conduct analysis

Literature Review Objectives

Literature Review Results

LEED

ENER

GY

ST

AR

labe

l

ENER

GY

ST

AR

sc

ore

Ener

gy u

se

BR

EEA

M

Ener

gy

Perf

orm

anc

e Cer

tific

ates

(U

K)

BO

MA

B

EST

Wal

kabi

lity

Non

-ene

rgy

gree

n fe

atur

es

Oth

er

Rent 20 18 1 2 2 2 1 1 1Rent concessions 1 1 1Sales price 9 11 1 1 1 1Assessed value 2 2Market value 1 2 1 2 1Occupancy 10 9 1Lease renewals 1 1 1Service charge 1Operating cost 2 3Energy cost 2 3Tenant satisfaction 1 1 1Sales time 1 1Default rate 2 1Capitalization rate 1 2 2 1Net operating income 1 1 1Loan to value ratio 1 1Debt service coverage ratio 1 1Worker productivity 1 1Other 5 4 1 4 2 2

There is considerable evidence that green building certifications correlate with increased economic value primarily via higher rents and sales prices

bull How do we move beyond certification to analyze performancebull Correlation vs Causation

bull What is driving added value Is it green features and efficiency the green labels themselves or other desirable features often included in certified buildings

Panel studies could help reduce some of the uncertainty and noise Full results presented at ACEEE Summer Study

bull Raising the Rent Premium Moving Green Building Research Beyond Certifications and Rent

bull Cindy Zhu Andrew White Paul Mathew Jeff Deason Philip Coleman

Literature Review Results

Research Agenda Core QuestionldquoHow does ltenergygreen metricgt affect ltfinancial value metricgtrdquo

EnergyGreen Metric

Site energy use or EUI

Source energy use or EUI

Energy cost or costsf

ENERGY STAR score

ENERGY STAR label

Green Building Certification (LEED BOMA 360)

Green Building Certification level (eg LEED Silver Gold)

Financial Value Metric

VacancyOccupancy Sales Price

Leasing Velocity (absorption speed of sales leasing)

Regulatory amp Compliance Risk

Tenant Renewals Insurance (rates ability)

Tenant Satisfaction Default Risk

Rental Income and Rent Concessions Debt Service Coverage Ratio

Marketing Costs Access to Funding

Utility Costs Maintenance OpEx Interest Rates

Obsolescence Reserves

Capitalization Rates

12 proposals received 5 projects selected Criteria

bull Department of Energy goals

bull Impact on Commercial Real Estate (CRE) Industry

bull Feasibility and Interest

bull Quality and Validity

Proposal Reviews

Jim Clayton Avis Devine (York University) and Rogier Holtermans(University of Guelph) Analyzing four types of energy

efficiency interventions on financial components that impact property-level NOI

bull How do interventions impact different aspects of building operations and their subsequent financial impact

Beyond Environmental Building Certification The Impact of Environmental Interventions on Commercial Real Estate Operations

Piet Eichholtz and Nils Kok (Maastricht University) and RogierHoltermans (University of Guelph) Three key questions

bull How is environmental building certification related to commercial building energy consumption

bull How does aging affect the energy consumption of the commercial building stock

bull To what extent do specific energy efficiency investments affect energy consumption in commercial real estate

The Dynamics of Energy Consumption in Commercial Real Estate

Sofia Dermisi Chris Lee and YoungjinChoe (University of Washington) Exploring the effect of disclosure

policies on office building marketability while assessing potential links between market performance of sustainable assets

bull Before and after the disclosure policies while considering market cycles

bull Before and after ENERGY STAR andor LEED certification

Markets included San Francisco Washington DC

Effect of Energy Benchmarking and Disclosure on Office Building Marketability

Dirk Brounen (Tilburg University) and Gianluca Marcato (Reading University) Analyzing the adoption of GRESB within the public real estate markets and

predicting a potential impact of GRESB scores on REIT returns

Sustainable Insights and Public Real Estate Performance GRESB Effects in REIT Markets

Constantine Kontokosta (New York University) Franz Fuerst(Cambridge University) Gary Pivo (University of Arizona) amp Jacob Sagi (UNC Chapel Hill) Utilizing NYC data to empirically model

bull the spread between the premium for labeled (energy efficient) buildings and the cost to retrofit an under-performing building to meet the same standard which will allow us to understand how much of the observed premium is attributable to energy efficiency and how much can be assigned to other perceived benefits (marketing construction quality etc)

bull the hurdle rate for energy retrofit investments using actual audit data and permitted renovation work

Estimating Office and Residential Building Energy Retrofit Hurdle Rates and Risk Arbitrage in Energy Efficiency Investments

Collecting data for continued Data Lab analysis Presenting Research findings

bull Interim research results ndash IPC Research Symposium (October)bull Greenbuild Session (November)bull RERI Research Conference (April)bull Final research results ndash Better Buildings Webinars Summit 2019 (TBA)

Work with DOE case study and data analysis opportunities abound

Next Steps

Paul Mathew

Lawrence Berkeley National Laboratorypamathewlblgov

Paulo Issler

University of California Berkeleypauloisslerberkeleyedu

Erin Hopkins

Virginia Techerinz1vtedu

Andrew White

RE Tech Advisorsawhiteretechadvisorscom

Contact Info

  • Slide Number 1
  • Business Case 20 New Research Around High Performing Buildings
  • Panelists
  • Energy and Default Risk in Commercial Mortgages
  • Paulo Issler
  • Acknowledgements
  • The link between energy and CRE mortgages
  • Approach Impact of energy on default rate
  • Default risk and source EUI (cont)
  • Default risk and source EUI
  • Default risk and source EUI (cont)
  • Default risk and source EUI (cont)
  • What are the impacts on specific loans
  • Case Studies
  • Denver Office ndash energy use and default risk
  • Denver Office ndash energy price and default risk
  • Case Studies ndash summary of risks impacts
  • Case Studies ndash business impact
  • Looking Ahead
  • Looking Ahead ndash our vision
  • Recommendations
  • Slide Number 22
  • Money Matters Exploring the Financial Impacts of Green Certifications in the Multifamily Rental SectorErin A Hopkins PhD CAPS LEED Green AssociateAssistant Professor of Property Management
  • Overview of Research
  • Certifications Represented in Sample
  • Properties by City
  • Descriptive
  • Descriptive
  • Findings
  • Financial Impacts of Green
  • Discussion
  • Discussion
  • Final Thoughts
  • Slide Number 34
  • Slide Number 35
  • Context Setting ndash DOE Research Effort
  • RERI Overview
  • Literature Review Objectives
  • Literature Review Results
  • Literature Review Results
  • Research Agenda Core Question
  • Proposal Reviews
  • Beyond Environmental Building Certification The Impact of Environmental Interventions on Commercial Real Estate Operations
  • The Dynamics of Energy Consumption in Commercial Real Estate
  • Effect of Energy Benchmarking and Disclosure on Office Building Marketability
  • Sustainable Insights and Public Real Estate Performance GRESB Effects in REIT Markets
  • Estimating Office and Residential Building Energy Retrofit Hurdle Rates and Risk Arbitrage in Energy Efficiency Investments
  • Next Steps
  • Contact Info
Y Term ~Bias Estimate EXP estimate Practical Interpretation increasedecrease Std Error DFDen t Ratio Probgt|t| Log(Vacancies amp Rent Loss rentable sf) Log(Total Rents Collected rentable sf) Log(Total Actual Collections rentable sf) Log(Management Fee rentable sf) Log(Total Utilities Rentable sf) Log(MampR rentable sf) Log(Subtotal Maintenance rentable sf) Log(Property Insurance rentable sf) Log(Total All Expenses Rentable sf) Log(NOI Rentable sf) Concessions rentable sf
Log(Vacancies amp Rent Loss rentable sf) Intercept 00893029328 10934118365 934 06116337119 1083785495375 01460072116 08841869197 Green Certified (1=yes 0=no)[Yes] -00318 01047 00991
Log(Vacancies amp Rent Loss rentable sf) Green Certified (1=yes 0=no)[Yes] -0031825668 09686754385 -313 009164153 139931853592 -03472843369 07288994904 Gym (1=yes 0=no)[Yes] 01060 00708 00767
Log(Vacancies amp Rent Loss rentable sf) Gym (1=yes 0=no)[Yes] 01007730854 11060256399 1060 01479591517 1412043780621 0681087207 0496931725 Pool (1=yes 0=no)[Yes] 01126 00089 00131
Log(Vacancies amp Rent Loss rentable sf) Pool (1=yes 0=no)[Yes] 01125884395 11191712315 1192 0113345701 506840641957 09933190097 032527325 Outdoor Common Area (1=yes 0=no)[Yes] 02673 -00803 -00764
Log(Vacancies amp Rent Loss rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 02672618233 13063824429 3064 01690835398 1429144230275 15806495624 01161688791 Walk Score 00102 00065 00066
Log(Vacancies amp Rent Loss rentable sf) Walk Score 00101642302 10102160615 102 00040763935 1219632686439 24934369735 00139912712 of Unfurnished Apartments -00003 -00009 -00008
Log(Vacancies amp Rent Loss rentable sf) of Unfurnished Apartments -0000250981 09997490505 -003 00006011213 142449410245 -04175214322 06769256723 Average Apt Unit Size -00003 -00002 -00002
Log(Vacancies amp Rent Loss rentable sf) Average Apt Unit Size -00002575258 09997425074 -003 00004990119 1315989429881 -05160713681 06066705884 Age -00026 00008 00015
Log(Vacancies amp Rent Loss rentable sf) Age -00026152008 09973882158 -026 00056263988 1391583522195 -04648090107 06427946925 Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00099 00043 00252
Log(Vacancies amp Rent Loss rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00099001013 10099492694 099 0100821633 1384002310718 00981942166 09219201454
Log(Total Rents Collected rentable sf) Intercept 30195696974 204824761253 194825 04164909532 1420770663705 72500246992 0
Log(Total Rents Collected rentable sf) Green Certified (1=yes 0=no)[Yes] 00996165255 11047471944 1047
Hopkins Erin Hopkins Erincant provide a confidencd interval for it
00590542761 1286416575023 16868638818 0094053065
Log(Total Rents Collected rentable sf) Gym (1=yes 0=no)[Yes] 00684081888 10708023088 708 0096210834 1330244953516 07110237581 04783143732
Log(Total Rents Collected rentable sf) Pool (1=yes 0=no)[Yes] 00088712036 10089106694 089 00916333982 708572236354 00968119025 09231490817
Log(Total Rents Collected rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00836597449 09197441505 -803 01126005752 1404546011941 -07429779537 04587359136
Log(Total Rents Collected rentable sf) Walk Score 0006479206 10065002414 065 0002794287 1413201347208 23187331419 00218436949
Log(Total Rents Collected rentable sf) of Unfurnished Apartments -00008678845 0999132492 -009 00003932429 1359586026848 -22069932213 00289920945
Log(Total Rents Collected rentable sf) Average Apt Unit Size -00002078918 09997921298 -002 00003300088 1382568544162 -06299582685 05297616269
Log(Total Rents Collected rentable sf) Age 00008364704 10008368204 008 00037477419 1387794745176 02231931757 08237133506
Log(Total Rents Collected rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00042999624 10043092206 043 0069466499 142786243042 00618998008 09507291881
Log(Total Actual Collections rentable sf) Intercept 30681072891 215011686418 205012 04070110501 1415072794017 75381424868 0
Log(Total Actual Collections rentable sf) Green Certified (1=yes 0=no)[Yes] 00944491888 10990533175 991 00578900924 1291837028308 16315259643 01052148631
Log(Total Actual Collections rentable sf) Gym (1=yes 0=no)[Yes] 00739127176 10767128233 767 0094247393 1335821297113 07842415071 04342868782
Log(Total Actual Collections rentable sf) Pool (1=yes 0=no)[Yes] 00130418887 10131273051 131 00885804441 654593026021 01472321442 08834013324
Log(Total Actual Collections rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00794248992 0923647384 -764 01101507414 1410305976559 -07210564195 04720684016
Log(Total Actual Collections rentable sf) Walk Score 00065530115 10065745295 066 00027272037 14047408887 24028316857 00175745575
Log(Total Actual Collections rentable sf) of Unfurnished Apartments -0000833078 09991672689 -008 00003850262 1365168778586 -21636916411 00322285543
Log(Total Actual Collections rentable sf) Average Apt Unit Size -00002169447 09997830788 -002 00003233576 1393662972101 -06709126047 05033865944
Log(Total Actual Collections rentable sf) Age 00015178151 10015189676 015 0003670824 1398532082324 04134807595 06798877496
Log(Total Actual Collections rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00249154485 10252284322 252 0067842812 1423468871242 03672525904 07139760316
Log(Management Fee rentable sf) Intercept -02128803278 08082528568 -1917 04254329778 585619088893 -0500385111 06186792644
Log(Management Fee rentable sf) Green Certified (1=yes 0=no)[Yes] 0019865513 10200641454 201 00593086525 1354977267554 03349513461 07381797603
Log(Management Fee rentable sf) Gym (1=yes 0=no)[Yes] -00082052627 09918283086 -082 00958032958 1386068833723 -00856469772 09318706455
Log(Management Fee rentable sf) Pool (1=yes 0=no)[Yes] 00174275629 10175803089 176 00771880661 202180965349 02257805358 08236388274
Log(Management Fee rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00153191452 10154370848 154 01103651216 1423896402644 01388042255 08898009734
Log(Management Fee rentable sf) Walk Score 00070459229 10070708039 071 00028008303 805559990921 25156550566 0013868745
Log(Management Fee rentable sf) of Unfurnished Apartments -0001358177 09986427449 -014 00003916726 1421224837061 -34676335479 00006950146
Log(Management Fee rentable sf) Average Apt Unit Size -00005130214 09994871101 -005 00003375961 1007585612206 -15196307445 0131735624
Log(Management Fee rentable sf) Age 00013613923 10013623194 014 00037151697 1277713043957 03664414822 07146417588
Log(Management Fee rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -00674463479 09347778721 -652 00657081953 1299283630266 -10264525997 03065854809
Log(Total Utilities Rentable sf) Intercept -03748562337 06873880949 -3126 04464274077 1402143832266 -08396801522 04025171642
Log(Total Utilities Rentable sf) Green Certified (1=yes 0=no)[Yes] 00873163337 10912418217 912 0064576715 1358457024729 13521334071 01785794114
Log(Total Utilities Rentable sf) Gym (1=yes 0=no)[Yes] 01175979311 11247917766 1248 01048349264 1384172144229 11217438221 02639135776
Log(Total Utilities Rentable sf) Pool (1=yes 0=no)[Yes] 00115680134 10116351816 116 00928512423 72633370166 01245865221 09011950626
Log(Total Utilities Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00222539972 10225034645 225 01216524447 1425571484619 01829309493 0855112103
Log(Total Utilities Rentable sf) Walk Score 00068649233 10068885409 069 00029812807 1396033046894 23026759291 00227754146
Log(Total Utilities Rentable sf) of Unfurnished Apartments -00006773222 09993229071 -007 00004273761 1401067188346 -15848386198 01152575495
Log(Total Utilities Rentable sf) Average Apt Unit Size -00003442022 0999655857 -003 00003581401 1425120147852 -09610825805 03381384619
Log(Total Utilities Rentable sf) Age 00048795122 10048914364 049 00040600929 1425855030198 12018227897 02314244716
Log(Total Utilities Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -01198355423 08870663096 -1129 00742421382 1413320388001 -16141176043 01087323819
Log(MampR rentable sf) Intercept -09030689887 04053238148 -5947 0437858541 1384008312652 -20624674504 00410332652
Log(MampR rentable sf) Green Certified (1=yes 0=no)[Yes] 00937424436 10982768413 983 00639155521 1376081716673 14666609392 01447499128
Log(MampR rentable sf) Gym (1=yes 0=no)[Yes] 00037664885 10037735907 038 01036113865 1396450691334 00363520715 09710535435
Log(MampR rentable sf) Pool (1=yes 0=no)[Yes] 01319613595 11410642271 1411 00887446725 719561267791 14869778183 0141389644
Log(MampR rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00521515872 09491849716 -508 01197720975 1428478988157 -04354235112 06639122497
Log(MampR rentable sf) Walk Score 00110131704 10110740386 111 00029197236 1385662208531 37719907631 00002391344
Log(MampR rentable sf) of Unfurnished Apartments -00008849955 09991153959 -009 00004219429 1410140957414 -20974297602 0037740228
Log(MampR rentable sf) Average Apt Unit Size 00000594506 10000594524 001 0000353075 1429981472006 01683796031 08665225748
Log(MampR rentable sf) Age 0007624822 1007653965 077 00039990018 142990029884 19066812998 00585678315
Log(MampR rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00598131349 10616381449 616 00727173027 1406732379184 08225433659 04121598071
Log(Subtotal Maintenance rentable sf) Intercept -07997344997 04494482769 -5506 0489167182 1380935604874 -16348899298 01043496414
Log(Subtotal Maintenance rentable sf) Green Certified (1=yes 0=no)[Yes] 01180969773 11253532398 1254 00707986514 1348907221481 16680681771 00976219515
Log(Subtotal Maintenance rentable sf) Gym (1=yes 0=no)[Yes] 00409351965 10417845921 418 01148796072 1378640116803 03563312718 07221372278
Log(Subtotal Maintenance rentable sf) Pool (1=yes 0=no)[Yes] 01515780559 11636691295 1637 0100780712 617547240206 15040383505 01376688864
Log(Subtotal Maintenance rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -0078076377 09248937833 -751 01331885868 1426567369893 -05862092154 05586613077
Log(Subtotal Maintenance rentable sf) Walk Score 0011889233 10119601909 120 00032614069 1377504918879 36454307183 00003773801
Log(Subtotal Maintenance rentable sf) of Unfurnished Apartments -00008153416 09991849907 -008 00004682078 1398534995511 -17414095506 00838107083
Log(Subtotal Maintenance rentable sf) Average Apt Unit Size 00005083484 10005084776 005 00003930253 1428434249161 12934242295 01979520949
Log(Subtotal Maintenance rentable sf) Age 00104106727 10104650523 105 00044515054 1428449267664 23386858733 00207383998
Log(Subtotal Maintenance rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 02440298206 12763823925 2764 0081177414 1402563601749 30061295196 00031359748
Log(Property Insurance rentable sf) Intercept -08916874806 04099633635 -5900 04516384713 1429624291993 -19743390727 00502702101
Log(Property Insurance rentable sf) Green Certified (1=yes 0=no)[Yes] 01239058141 11319092561 1319 0062692592 1281678143933 19764027959 00502564371
Log(Property Insurance rentable sf) Gym (1=yes 0=no)[Yes] -0003522638 09964835593 -035 01024969537 1314939748594 -0034368221 09726356404
Log(Property Insurance rentable sf) Pool (1=yes 0=no)[Yes] 00227423743 10230029538 230 01040308572 1125700947624 02186118131 08273482928
Log(Property Insurance rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00155809876 10157030041 157 01206677853 1368483458399 01291230096 08974498986
Log(Property Insurance rentable sf) Walk Score 00072977866 10073244804 073 00030353828 1428602075435 24042392705 00174877086
Log(Property Insurance rentable sf) of Unfurnished Apartments -00010061941 09989943119 -010 0000420017 1337858380697 -23956034086 00179774093
Log(Property Insurance rentable sf) Average Apt Unit Size -00006330482 09993671521 -006 00003514502 1338864329416 -18012458048 0073914725
Log(Property Insurance rentable sf) Age 00009661099 10009665767 010 00039921418 1338497494964 02420028921 08091483095
Log(Property Insurance rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -00520208103 09493091112 -507 00749301111 1411273861679 -06942577501 04886618561
Log(Total All Expenses Rentable sf) Intercept 17410862845 57035357214 47035 03946731547 141889623796 44114636723 00000201648
Log(Total All Expenses Rentable sf) Green Certified (1=yes 0=no)[Yes] 01231722438 11310792255 1311 00565275641 1341244163534 21789766772 00310802733
Log(Total All Expenses Rentable sf) Gym (1=yes 0=no)[Yes] 00096244971 10096709615 097 00919378962 1370603130567 01046847658 09167789899
Log(Total All Expenses Rentable sf) Pool (1=yes 0=no)[Yes] 01610294116 11747195186 1747 00846545666 801516751987 19021940341 00607378863
Log(Total All Expenses Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00361842114 09644626121 -355 01071504659 1418739239709 -03376953252 07360919324
Log(Total All Expenses Rentable sf) Walk Score 00087371658 10087754463 088 00026426023 1411809488418 33062734678 00011989895
Log(Total All Expenses Rentable sf) of Unfurnished Apartments -00008720665 09991283137 -009 00003752966 1389800988186 -23236728617 00215934791
Log(Total All Expenses Rentable sf) Average Apt Unit Size -0000155413 0999844599 -002 00003145108 1409449329598 -0494142052 06219751067
Log(Total All Expenses Rentable sf) Age 00015666155 10015678433 016 00035695206 1412387206124 04388868073 06614142124
Log(Total All Expenses Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00157918953 10159172462 159 00657593447 1424551160559 02401467861 08105616925
Log(NOI Rentable sf) Intercept 27416093787 155119295878 145119 049686036 1426328429735 55178669889 0000000157
Log(NOI Rentable sf) Green Certified (1=yes 0=no)[Yes] 00932241108 10977077159 977 00701671113 1292740226257 13286012361 01863200879
Log(NOI Rentable sf) Gym (1=yes 0=no)[Yes] 0111280688 11177085902 1177 0114413579 13320261997 09726178396 03325061802
Log(NOI Rentable sf) Pool (1=yes 0=no)[Yes] -00608871507 0940929417 -591 01107002034 838263437204 -05500184174 05837693269
Log(NOI Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -01393113526 08699571229 -1300 01340931949 1397855428856 -10389144106 03006382455
Log(NOI Rentable sf) Walk Score 00045000262 10045101666 045 0003337636 1423581725818 13482675372 01797136327
Log(NOI Rentable sf) of Unfurnished Apartments -00007116645 09992885887 -007 00004679272 1358400867851 -15208872073 01306124688
Log(NOI Rentable sf) Average Apt Unit Size -00001937801 09998062387 -002 00003921685 1372175013367 -04941245389 06220083144
Log(NOI Rentable sf) Age 00034607088 1003466704 035 00044548378 1376438770548 07768428318 04385844885
Log(NOI Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00488697769 10500835966 501 00828565286 1429949688826 05898120243 0556247504
Concessions rentable sf Intercept 0091580439 10959049266 959 12772069558 1418541020247 00717036801 09429387231
Concessions rentable sf Green Certified (1=yes 0=no)[Yes] 01110697527 11174728508 1175 01814813765 1293641668833 06120173584 05416004511
Concessions rentable sf Gym (1=yes 0=no)[Yes] -05094051331 06008529 -3991 02955403985 1336296409402 -17236395961 00870857294
Concessions rentable sf Pool (1=yes 0=no)[Yes] -00886152984 09151975838 -848 02791864929 69298361986 -03174053928 07518903943
Concessions rentable sf Outdoor Common Area (1=yes 0=no)[Yes] 04576291372 15803228114 5803 03455726285 1408379747117 13242632646 01875606951
Concessions rentable sf Walk Score 00120688741 10121419968 121 00085630896 1409791646097 14094064916 01609170757
Concessions rentable sf of Unfurnished Apartments -00007045588 09992956894 -007 00012075862 1364744404696 -05834438741 05605574922
Concessions rentable sf Average Apt Unit Size -00003193903 09996806607 -003 00010135961 1389703034326 -03151061148 07531537379
Concessions rentable sf Age 00130223218 10131074815 131 00115086772 139464867267 11315220311 02597773256
Concessions rentable sf Building Mix (0=multifamily 1 = mixed-use)[Mixed] -03719888249 06893619462 -3106 02129597676 1426034459287 -17467563435 00828326573
Y Term Practical Interpretation increasedecrease Probgt|t| Total Rents Collected Subtotal Maintenance Property Insurance Total Expenses
Log(Total Rents Collected rentable sf) Green Certified (1=yes 0=no)[Yes] 1047
Hopkins Erin Hopkins Erincant provide a confidencd interval for it
009 130837635934 13311489362 01847683215 67633617021
Log(Subtotal Maintenance rentable sf) Green Certified (1=yes 0=no)[Yes] 1254 010 267662568114 08839769656 0489370035 133484365708
Log(Property Insurance rentable sf) Green Certified (1=yes 0=no)[Yes] 1319 005 44887430941 07758149459 02417429373 41261056301
Log(Total All Expenses Rentable sf) Green Certified (1=yes 0=no)[Yes] 1311 003 103066299601 12390720963 00474343371 5067818194
206907297628 2385711159 02072356932 9194606526
318766961061 22633758919 04452208547 128154919371
92461669878 09545425866 01280485733 38832017239
143925847783 15966970999 02187893202 54018796992
176714125561 02006495648 02876780533 58992020575
232897515382 0726170332 00787094673 69517596041
Non-green sf average Financial Green Impact sf Financial green impact differencesf Green impactapt Green impactproperty 51780910259 05203453537 00494304264 22609306646
178353784788 17547710996 02048626598 95961490345
Total Rents Collected sf 1047 2356 2603 $ 247 $ 2189 $ 551683 113769814112 12206875575 03432049607 118156743193
Subtotal Maintenance sf 1254 160 180 $ 020 $ 178 $ 44843 301239240258 10561596849 0204970258 110903994641
Property Insurance sf 1319 036 041 $ 005 $ 42 $ 10601 918584487 08376649832 00914663991 4146546939
Total Expenses sf 1311 852 963 $ 112 $ 990 $ 249535 265183769576 19294929362 03500602344 108447158033
226055903548 13557897255 03988791741 10971207244
334894587007 17970717884 05122599181 124640467569
5542518821 31394328066 04875650977 200668786372
112655732059 13445692884 02031297086 43995867235
129139526152 1168069688 00518980213 4651511283
Avg Apt Size Avg of Units 151098478261 13975 02004130435 51873478261
192155046737 21015937064 02616549091 8357602264
887 252 514840434082 52766375656 02375463267 174375582672
81421971535 06694487849 00899424521 2748686222
30246817244 21594341279 03308639536 97277207077
488523197409 27727612187 0646599696 130752346177
318750561687 38903340576 03852711795 142409683793
310384048163 43119745565 03335824966 138846874251
Green Certification Impacts 48578215663 0350218077 03095574205 23695139998
Dependent Variable Per Square Foot Per Apartment Per Property 192237574111 13374121765 02053242615 84027476689
Total Rents Collected $ 247 $ 2189 $ 551683 62979912788 05343191729 00816289996 45390243161
Subtotal Maintenance $ 020 $ 178 $ 44843 148378959661 14651715909 02004049722 80900580942
Property Insurance $ 005 $ 42 $ 10601 196798863889 11267176542 02499920663 90266351433
Total Expenses $ 112 $ 990 $ 249535 281508617823 09686995581 01118170881 119863342059
58584849751 0106864586 04187933949 44180073736
126756167712 1265684516 02796423029 87538414144
176550549412 24957340254 02343899179 88904473415
252421786235 28063734042 03142238564 133776179357
191875932907 13637043757 03440324697 987034902
159508092934 13109374847 02091697013 98967206196
342739845467 09614092295 03929892961 129755936769
192510355167 32804720611 01743191858 134560085596
257829360401 13666691797 01527100011 56329812754
358622391559 14251973427 03437553732 101098436889
217744157919 24046486586 01864745418 68711016642
222112557003 22022148788 07879755849 97807110765
202535763689 04548110217 10003436751 127886698915
155879815194 23816051158 04816227091 119033557201
11066078843 23413202706 06413902496 81812176347
151924709838 18873401649 05711000232 105403544539
163604010853 16052949068 02714509557 82030431823
133974400047 11018949984 03560839935 59096477943
133528448829 13647819036 02538331588 66159357367
187400008959 16889788117 030870974 115752907975
155246293804 18308314258 03852380906 116657595614
34082816218 05447090935 09838411173 13641308574
201220131342 11192465065 03188344246 93786154242
139108532616 13313944086 03887737775 69698295902
191656858207 15717927807 06002115982 119380046581
200921599083 12597596226 03267106334 82474085087
57536742874 00453219212 00300766262 10569757217
120548294116 11607892527 03275736725 74435143659
123188534664 1404028789 03510968138 78762080781
59543029729 0899713372 01652374748 28143456117
144215639215 19193238703 02899837711 67370054173
340046684831 19619729415 04325060698 120608464163
208244777176 28183367899 037 73104355304
234349752613 19432301154 0351134881 107484594815
136370903402 17029933791 01989576534 50899930579
149968383478 14209793679 02735642323 63813718869
81145819519 0920766851 00474564037 30674168785
226307446224 12529424404 02036192613 69235920453
132787305462 08047482453 01232346659 41808605432
251519090044 21798380428 0376480317 80396623551
492269138212 12196979039 02981674812 128316943664
107177195916 08016374211 0113808252 40618650625
128238528886 10751217142 01843492552 6476830365
57582611557 11908427448 0874334536 134004066235
43835651097 34822540694 03904989384 146763800425
205787355386 1429219053 02624404931 5321754079
463148430769 07709353846 06150738462 101617384615
377949548611 28670972222 08296944444 109743576389
360087564176 03501711352 18551055334 110041072447
18371979614 18232783153 07267294459 61184870906
678035276363 13443501226 10431616676 167533484248
56073359244 10138647576 01591318768 51440832304
189431314891 05101557395 03677787459 41010945328
383550342095 23244425576 04086557393 98151764619
115544349685 03310482653 037 40344851625
7552318246 0955023726 01241945851 24368780848
133083101881 19451300341 00938801919 48731378614
122308363087 13760780005 01439989014 45100624828
84908269322 10857071617 01155797799 36082570734
263116048067 10733627163 041902582 60372732395
76183752731 09621126305 01069925907 26170373239
172494454001 11781600332 03919686814 59016193131
342076422068 22741368431 03165622465 73557085549
215534567901 1485497076 02210396361 49118778428
314593058927 23798916958 02751353803 121998559501
586535191691 21029046354 02109026171 91979074439
138093310078 14595490221 02142269839 44286283792
227203645682 04584630891 05737147639 93344680527
572754455737 17713614269 01642228739 92545561671
60603870458 04541110154 01180884676 15902125521
358781017266 33847643857 06854022643 139200146946
342079216629 24477703832 0463059603 67166143833
651201231187 51019950176 12529595849 222094150831
369798669702 21700816928 0444474205 101410502507
421838575952 28823013788 05443272608 151399739597
626095189209 20826275416 04947814184 184651096472
214882899762 25034709712 06359683889 109534721722
274037120739 26718517094 037 67504928595
252667703737 25588590114 05379535858 109041874345
59253832495 01099622961 04620367393 19262874847
150862851538 18053109961 07398729558 71488607075
111196959019 00928417366 037 09427894164
667360269858 07921160191 02989609494 104670639024
2356 160 036 852
Log(Vacancies amp Rent Loss rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified -00318 00916 -00313 07289
Fitness Center 01008 01480 01060 04969
Pool 01126 01133 01192 03253
Outdoor Common Area 02673 01691 03064 01162
Walk Score 00102 00041 00102 00140
of Unfurnished Apartments -00003 00006 -00003 06769
Average Apt Unit Size -00003 00005 -00003 06067
Age -00026 00056 -00026 06428
Building Mix 00099 01008 00099 09219
Note R2 = 645
Log(Total Rents Collected rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00996 00591 01047 00941
Fitness Center 00684 00962 00708 04783
Pool 00089 00916 00089 09231
Outdoor Common Area -00837 01126 -00803 04587
Walk Score 00065 00028 00065 00218
of Unfurnished Apartments -00009 00004 -00009 00290
Average Apt Unit Size -00002 00003 -00002 05298
Age 00008 00037 00008 08237
Building Mix 00043 00695 00043 09507
Note R2 = 3318
Log(Total Actual Collections rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00944 00579 00991 01052
Fitness Center 00739 00942 00767 04343
Pool 00130 00886 00131 08834
Outdoor Common Area -00794 01102 -00764 04721
Walk Score 00066 00027 00066 00176
of Unfurnished Apartments -00008 00004 -00008 00322
Average Apt Unit Size -00002 00003 -00002 05034
Age 00015 00037 00015 06799
Building Mix 00249 00678 00252 07140
Note R2 = 3219
Log(Management Fee rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00199 00593 00201 07382
Fitness Center -00082 00958 -00082 09319
Pool 00174 00772 00176 08236
Outdoor Common Area 00153 01104 00154 08898
Walk Score 00070 00028 00071 00139
of Unfurnished Apartments -00014 00004 -00014 00007
Average Apt Unit Size -00005 00003 -00005 01317
Age 00014 00037 00014 07146
Building Mix -00674 00657 -00652 03066
Note R2 = 1697
Log(Total Utilities Rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00873 00646 00912 01786
Fitness Center 01176 01048 01248 02639
Pool 00116 00929 00116 09012
Outdoor Common Area 00223 01217 00225 08551
Walk Score 00069 00030 00069 00228
of Unfurnished Apartments -00007 00004 -00007 01153
Average Apt Unit Size -00003 00004 -00003 03381
Age 00049 00041 00049 02314
Building Mix -01198 00742 -01129 01087
Note R2 = 2171
Log(MampR rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00937 00639 00983 01447
Fitness Center 00038 01036 00038 09711
Pool 01320 00887 01411 01414
Outdoor Common Area -00522 01198 -00508 06639
Walk Score 00110 00029 00111 00002
of Unfurnished Apartments -00009 00004 -00009 00377
Average Apt Unit Size 00001 00004 00001 08665
Age 00076 00040 00077 00586
Building Mix 00598 00727 00616 04122
Note R2 = 2620
Log(Subtotal Maintenance rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 01181 00708 01254 00976
Fitness Center 00409 01149 00418 07221
Pool 01516 01008 01637 01377
Outdoor Common Area -00781 01332 -00751 05587
Walk Score 00119 00033 00120 00004
of Unfurnished Apartments -00008 00005 -00008 00838
Average Apt Unit Size 00005 00004 00005 01980
Age 00104 00045 00105 00207
Building Mix 02440 00812 02764 00031
Note R2 = 3218
Log(Property Insurance rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 01239 00627 01319 00503
Fitness Center -00035 01025 -00035 09726
Pool 00227 01040 00230 08273
Outdoor Common Area 00156 01207 00157 08974
Walk Score 00073 00030 00073 00175
of Unfurnished Apartments -00010 00004 -00010 00180
Average Apt Unit Size -00006 00004 -00006 00739
Age 00010 00040 00010 08091
Building Mix -00520 00749 -00507 04887
Note R2 = 3902
Log(Total All Expenses Rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 01232 00565 01311 00311
Fitness Center 00096 00919 00097 09168
Pool 01610 00847 01747 00607
Outdoor Common Area -00362 01072 -00355 07361
Walk Score 00087 00026 00088 00012
of Unfurnished Apartments -00009 00004 -00009 00216
Average Apt Unit Size -00002 00003 -00002 06220
Age 00016 00036 00016 06614
Building Mix 00158 00658 00159 08106
Note R2 = 2943
Log(NOI Rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00932 00702 00977 01863
Fitness Center 01113 01144 01177 03325
Pool -00609 01107 -00591 05838
Outdoor Common Area -01393 01341 -01300 03006
Walk Score 00045 00033 00045 01797
of Unfurnished Apartments -00007 00005 -00007 01306
Average Apt Unit Size -00002 00004 -00002 06220
Age 00035 00045 00035 04386
Building Mix 00489 00829 00501 05562
Note R2 = 3669
Concessions rentable sf
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 01111 01815 01175 05416
Fitness Center -05094 02955 -03991 00871
Pool -00886 02792 -00848 07519
Outdoor Common Area 04576 03456 05803 01876
Walk Score 00121 00086 00121 01609
of Unfurnished Apartments -00007 00012 -00007 05606
Average Apt Unit Size -00003 00010 -00003 07532
Age 00130 00115 00131 02598
Building Mix -03720 02130 -03106 00828
Note R2 = 2402
Y Term ~Bias Estimate EXP estimate Practical Interpretation increasedecrease Std Error DFDen t Ratio Probgt|t| Estimate Std Error Practical Interpretation Significance
Log(Vacancies amp Rent Loss rentable sf) Intercept 00893029328 10934118365 934 06116337119 1083785495375 01460072116 08841869197 Green Cert
Log(Vacancies amp Rent Loss rentable sf) Green Certified (1=yes 0=no)[Yes] -0031825668 09686754385 -313 009164153 139931853592 -03472843369 07288994904 Gym
Log(Vacancies amp Rent Loss rentable sf) Gym (1=yes 0=no)[Yes] 01007730854 11060256399 1060 01479591517 1412043780621 0681087207 0496931725
Log(Vacancies amp Rent Loss rentable sf) Pool (1=yes 0=no)[Yes] 01125884395 11191712315 1192 0113345701 506840641957 09933190097 032527325
Log(Vacancies amp Rent Loss rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 02672618233 13063824429 3064 01690835398 1429144230275 15806495624 01161688791
Log(Vacancies amp Rent Loss rentable sf) Walk Score 00101642302 10102160615 102 00040763935 1219632686439 24934369735 00139912712
Log(Vacancies amp Rent Loss rentable sf) of Unfurnished Apartments -0000250981 09997490505 -003 00006011213 142449410245 -04175214322 06769256723
Log(Vacancies amp Rent Loss rentable sf) Average Apt Unit Size -00002575258 09997425074 -003 00004990119 1315989429881 -05160713681 06066705884
Log(Vacancies amp Rent Loss rentable sf) Age -00026152008 09973882158 -026 00056263988 1391583522195 -04648090107 06427946925
Log(Vacancies amp Rent Loss rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00099001013 10099492694 099 0100821633 1384002310718 00981942166 09219201454
Log(Total Rents Collected rentable sf) Intercept 30195696974 204824761253 194825 04164909532 1420770663705 72500246992 0
Log(Total Rents Collected rentable sf) Green Certified (1=yes 0=no)[Yes] 00996165255 11047471944 1047
Hopkins Erin Hopkins Erincant provide a confidencd interval for it
00590542761 1286416575023 16868638818 0094053065 0099617 00590542761 1047
Log(Total Rents Collected rentable sf) Gym (1=yes 0=no)[Yes] 00684081888 10708023088 708 0096210834 1330244953516 07110237581 04783143732
Log(Total Rents Collected rentable sf) Pool (1=yes 0=no)[Yes] 00088712036 10089106694 089 00916333982 708572236354 00968119025 09231490817
Log(Total Rents Collected rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00836597449 09197441505 -803 01126005752 1404546011941 -07429779537 04587359136
Log(Total Rents Collected rentable sf) Walk Score 0006479206 10065002414 065 0002794287 1413201347208 23187331419 00218436949
Log(Total Rents Collected rentable sf) of Unfurnished Apartments -00008678845 0999132492 -009 00003932429 1359586026848 -22069932213 00289920945 variance components to talk about how much of the total error that is attribuatle to city
Log(Total Rents Collected rentable sf) Average Apt Unit Size -00002078918 09997921298 -002 00003300088 1382568544162 -06299582685 05297616269
Log(Total Rents Collected rentable sf) Age 00008364704 10008368204 008 00037477419 1387794745176 02231931757 08237133506
Log(Total Rents Collected rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00042999624 10043092206 043 0069466499 142786243042 00618998008 09507291881
Log(Total Actual Collections rentable sf) Intercept 30681072891 215011686418 205012 04070110501 1415072794017 75381424868 0
Log(Total Actual Collections rentable sf) Green Certified (1=yes 0=no)[Yes] 00944491888 10990533175 991 00578900924 1291837028308 16315259643 01052148631
Log(Total Actual Collections rentable sf) Gym (1=yes 0=no)[Yes] 00739127176 10767128233 767 0094247393 1335821297113 07842415071 04342868782
Log(Total Actual Collections rentable sf) Pool (1=yes 0=no)[Yes] 00130418887 10131273051 131 00885804441 654593026021 01472321442 08834013324
Log(Total Actual Collections rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00794248992 0923647384 -764 01101507414 1410305976559 -07210564195 04720684016
Log(Total Actual Collections rentable sf) Walk Score 00065530115 10065745295 066 00027272037 14047408887 24028316857 00175745575
Log(Total Actual Collections rentable sf) of Unfurnished Apartments -0000833078 09991672689 -008 00003850262 1365168778586 -21636916411 00322285543
Log(Total Actual Collections rentable sf) Average Apt Unit Size -00002169447 09997830788 -002 00003233576 1393662972101 -06709126047 05033865944
Log(Total Actual Collections rentable sf) Age 00015178151 10015189676 015 0003670824 1398532082324 04134807595 06798877496
Log(Total Actual Collections rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00249154485 10252284322 252 0067842812 1423468871242 03672525904 07139760316
Log(Management Fee rentable sf) Intercept -02128803278 08082528568 -1917 04254329778 585619088893 -0500385111 06186792644
Log(Management Fee rentable sf) Green Certified (1=yes 0=no)[Yes] 0019865513 10200641454 201 00593086525 1354977267554 03349513461 07381797603
Log(Management Fee rentable sf) Gym (1=yes 0=no)[Yes] -00082052627 09918283086 -082 00958032958 1386068833723 -00856469772 09318706455
Log(Management Fee rentable sf) Pool (1=yes 0=no)[Yes] 00174275629 10175803089 176 00771880661 202180965349 02257805358 08236388274
Log(Management Fee rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00153191452 10154370848 154 01103651216 1423896402644 01388042255 08898009734
Log(Management Fee rentable sf) Walk Score 00070459229 10070708039 071 00028008303 805559990921 25156550566 0013868745
Log(Management Fee rentable sf) of Unfurnished Apartments -0001358177 09986427449 -014 00003916726 1421224837061 -34676335479 00006950146
Log(Management Fee rentable sf) Average Apt Unit Size -00005130214 09994871101 -005 00003375961 1007585612206 -15196307445 0131735624
Log(Management Fee rentable sf) Age 00013613923 10013623194 014 00037151697 1277713043957 03664414822 07146417588
Log(Management Fee rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -00674463479 09347778721 -652 00657081953 1299283630266 -10264525997 03065854809
Log(Total Utilities Rentable sf) Intercept -03748562337 06873880949 -3126 04464274077 1402143832266 -08396801522 04025171642
Log(Total Utilities Rentable sf) Green Certified (1=yes 0=no)[Yes] 00873163337 10912418217 912 0064576715 1358457024729 13521334071 01785794114
Log(Total Utilities Rentable sf) Gym (1=yes 0=no)[Yes] 01175979311 11247917766 1248 01048349264 1384172144229 11217438221 02639135776
Log(Total Utilities Rentable sf) Pool (1=yes 0=no)[Yes] 00115680134 10116351816 116 00928512423 72633370166 01245865221 09011950626
Log(Total Utilities Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00222539972 10225034645 225 01216524447 1425571484619 01829309493 0855112103
Log(Total Utilities Rentable sf) Walk Score 00068649233 10068885409 069 00029812807 1396033046894 23026759291 00227754146
Log(Total Utilities Rentable sf) of Unfurnished Apartments -00006773222 09993229071 -007 00004273761 1401067188346 -15848386198 01152575495
Log(Total Utilities Rentable sf) Average Apt Unit Size -00003442022 0999655857 -003 00003581401 1425120147852 -09610825805 03381384619
Log(Total Utilities Rentable sf) Age 00048795122 10048914364 049 00040600929 1425855030198 12018227897 02314244716
Log(Total Utilities Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -01198355423 08870663096 -1129 00742421382 1413320388001 -16141176043 01087323819
Log(MampR rentable sf) Intercept -09030689887 04053238148 -5947 0437858541 1384008312652 -20624674504 00410332652
Log(MampR rentable sf) Green Certified (1=yes 0=no)[Yes] 00937424436 10982768413 983 00639155521 1376081716673 14666609392 01447499128
Log(MampR rentable sf) Gym (1=yes 0=no)[Yes] 00037664885 10037735907 038 01036113865 1396450691334 00363520715 09710535435
Log(MampR rentable sf) Pool (1=yes 0=no)[Yes] 01319613595 11410642271 1411 00887446725 719561267791 14869778183 0141389644
Log(MampR rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00521515872 09491849716 -508 01197720975 1428478988157 -04354235112 06639122497
Log(MampR rentable sf) Walk Score 00110131704 10110740386 111 00029197236 1385662208531 37719907631 00002391344
Log(MampR rentable sf) of Unfurnished Apartments -00008849955 09991153959 -009 00004219429 1410140957414 -20974297602 0037740228
Log(MampR rentable sf) Average Apt Unit Size 00000594506 10000594524 001 0000353075 1429981472006 01683796031 08665225748
Log(MampR rentable sf) Age 0007624822 1007653965 077 00039990018 142990029884 19066812998 00585678315
Log(MampR rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00598131349 10616381449 616 00727173027 1406732379184 08225433659 04121598071
Log(Subtotal Maintenance rentable sf) Intercept -07997344997 04494482769 -5506 0489167182 1380935604874 -16348899298 01043496414
Log(Subtotal Maintenance rentable sf) Green Certified (1=yes 0=no)[Yes] 01180969773 11253532398 1254 00707986514 1348907221481 16680681771 00976219515
Log(Subtotal Maintenance rentable sf) Gym (1=yes 0=no)[Yes] 00409351965 10417845921 418 01148796072 1378640116803 03563312718 07221372278
Log(Subtotal Maintenance rentable sf) Pool (1=yes 0=no)[Yes] 01515780559 11636691295 1637 0100780712 617547240206 15040383505 01376688864
Log(Subtotal Maintenance rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -0078076377 09248937833 -751 01331885868 1426567369893 -05862092154 05586613077
Log(Subtotal Maintenance rentable sf) Walk Score 0011889233 10119601909 120 00032614069 1377504918879 36454307183 00003773801
Log(Subtotal Maintenance rentable sf) of Unfurnished Apartments -00008153416 09991849907 -008 00004682078 1398534995511 -17414095506 00838107083
Log(Subtotal Maintenance rentable sf) Average Apt Unit Size 00005083484 10005084776 005 00003930253 1428434249161 12934242295 01979520949
Log(Subtotal Maintenance rentable sf) Age 00104106727 10104650523 105 00044515054 1428449267664 23386858733 00207383998
Log(Subtotal Maintenance rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 02440298206 12763823925 2764 0081177414 1402563601749 30061295196 00031359748
Log(Property Insurance rentable sf) Intercept -08916874806 04099633635 -5900 04516384713 1429624291993 -19743390727 00502702101
Log(Property Insurance rentable sf) Green Certified (1=yes 0=no)[Yes] 01239058141 11319092561 1319 0062692592 1281678143933 19764027959 00502564371
Log(Property Insurance rentable sf) Gym (1=yes 0=no)[Yes] -0003522638 09964835593 -035 01024969537 1314939748594 -0034368221 09726356404
Log(Property Insurance rentable sf) Pool (1=yes 0=no)[Yes] 00227423743 10230029538 230 01040308572 1125700947624 02186118131 08273482928
Log(Property Insurance rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00155809876 10157030041 157 01206677853 1368483458399 01291230096 08974498986
Log(Property Insurance rentable sf) Walk Score 00072977866 10073244804 073 00030353828 1428602075435 24042392705 00174877086
Log(Property Insurance rentable sf) of Unfurnished Apartments -00010061941 09989943119 -010 0000420017 1337858380697 -23956034086 00179774093
Log(Property Insurance rentable sf) Average Apt Unit Size -00006330482 09993671521 -006 00003514502 1338864329416 -18012458048 0073914725
Log(Property Insurance rentable sf) Age 00009661099 10009665767 010 00039921418 1338497494964 02420028921 08091483095
Log(Property Insurance rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -00520208103 09493091112 -507 00749301111 1411273861679 -06942577501 04886618561
Log(Total All Expenses Rentable sf) Intercept 17410862845 57035357214 47035 03946731547 141889623796 44114636723 00000201648
Log(Total All Expenses Rentable sf) Green Certified (1=yes 0=no)[Yes] 01231722438 11310792255 1311 00565275641 1341244163534 21789766772 00310802733
Log(Total All Expenses Rentable sf) Gym (1=yes 0=no)[Yes] 00096244971 10096709615 097 00919378962 1370603130567 01046847658 09167789899
Log(Total All Expenses Rentable sf) Pool (1=yes 0=no)[Yes] 01610294116 11747195186 1747 00846545666 801516751987 19021940341 00607378863
Log(Total All Expenses Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00361842114 09644626121 -355 01071504659 1418739239709 -03376953252 07360919324
Log(Total All Expenses Rentable sf) Walk Score 00087371658 10087754463 088 00026426023 1411809488418 33062734678 00011989895
Log(Total All Expenses Rentable sf) of Unfurnished Apartments -00008720665 09991283137 -009 00003752966 1389800988186 -23236728617 00215934791
Log(Total All Expenses Rentable sf) Average Apt Unit Size -0000155413 0999844599 -002 00003145108 1409449329598 -0494142052 06219751067
Log(Total All Expenses Rentable sf) Age 00015666155 10015678433 016 00035695206 1412387206124 04388868073 06614142124
Log(Total All Expenses Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00157918953 10159172462 159 00657593447 1424551160559 02401467861 08105616925
Log(NOI Rentable sf) Intercept 27416093787 155119295878 145119 049686036 1426328429735 55178669889 0000000157
Log(NOI Rentable sf) Green Certified (1=yes 0=no)[Yes] 00932241108 10977077159 977 00701671113 1292740226257 13286012361 01863200879
Log(NOI Rentable sf) Gym (1=yes 0=no)[Yes] 0111280688 11177085902 1177 0114413579 13320261997 09726178396 03325061802
Log(NOI Rentable sf) Pool (1=yes 0=no)[Yes] -00608871507 0940929417 -591 01107002034 838263437204 -05500184174 05837693269
Log(NOI Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -01393113526 08699571229 -1300 01340931949 1397855428856 -10389144106 03006382455
Log(NOI Rentable sf) Walk Score 00045000262 10045101666 045 0003337636 1423581725818 13482675372 01797136327
Log(NOI Rentable sf) of Unfurnished Apartments -00007116645 09992885887 -007 00004679272 1358400867851 -15208872073 01306124688
Log(NOI Rentable sf) Average Apt Unit Size -00001937801 09998062387 -002 00003921685 1372175013367 -04941245389 06220083144
Log(NOI Rentable sf) Age 00034607088 1003466704 035 00044548378 1376438770548 07768428318 04385844885
Log(NOI Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00488697769 10500835966 501 00828565286 1429949688826 05898120243 0556247504
Concessions rentable sf Intercept 0091580439 10959049266 959 12772069558 1418541020247 00717036801 09429387231
Concessions rentable sf Green Certified (1=yes 0=no)[Yes] 01110697527 11174728508 1175 01814813765 1293641668833 06120173584 05416004511
Concessions rentable sf Gym (1=yes 0=no)[Yes] -05094051331 06008529 -3991 02955403985 1336296409402 -17236395961 00870857294
Concessions rentable sf Pool (1=yes 0=no)[Yes] -00886152984 09151975838 -848 02791864929 69298361986 -03174053928 07518903943
Concessions rentable sf Outdoor Common Area (1=yes 0=no)[Yes] 04576291372 15803228114 5803 03455726285 1408379747117 13242632646 01875606951
Concessions rentable sf Walk Score 00120688741 10121419968 121 00085630896 1409791646097 14094064916 01609170757
Concessions rentable sf of Unfurnished Apartments -00007045588 09992956894 -007 00012075862 1364744404696 -05834438741 05605574922
Concessions rentable sf Average Apt Unit Size -00003193903 09996806607 -003 00010135961 1389703034326 -03151061148 07531537379
Concessions rentable sf Age 00130223218 10131074815 131 00115086772 139464867267 11315220311 02597773256
Concessions rentable sf Building Mix (0=multifamily 1 = mixed-use)[Mixed] -03719888249 06893619462 -3106 02129597676 1426034459287 -17467563435 00828326573
Page 15: AUGUST 21- 23, 2018 • CLEVELAND, OHIO€¦ · Business Case 2.0: New Research Around High Performing Buildings Thursday 23 rd, 2018 10:30am – 12:00pm

Denver Office ndash energy use and default riskFacilities Management factors HVAC schedule Thermostat setback Supply air temp control VAV min flow control Economizer controls Lighting controlsLevels good average poor

Occupancy factors Occupant density Occupant schedule Plug load density Plug load controlsLevels goodlow average poorhigh

CaseFacilities mgmtfactors

OccupancyFactors

Source EUI change ()

Default risk change (bp)

1 Good GoodLow -54 -248

2 Good Ave -33 -127

3 Ave Ave - -

4 Good PoorHigh +4 +12

5 Poor GoodLow +64 +158

6 Poor Ave +76 +181

7 Poor PoorHigh +132 +268

15

Denver Office ndash energy price and default risk

16

Case Studies ndash summary of risks impacts

Building Source EUI variation ()

Default rate variation (bp)

Default rate variation relative to TREPP avg ()

Denver Office -54 to +132 -248 to +268 -31 to +34

Sonoma Office -40 to +183 -161 to +331 -20 to +41

San Jose Office -62 to +119 -308 to +249 -39 to +31

Denver Hotel -11 to +17 -37 to +49 -5 to +6

San Francisco Multi-family -20 to +26 -72 to +74 -9 to +9

Wholesale price region Default rate variation (bp) Default rate variation relative to TREPP avg ()

Denver area +159 to +501 +20 to +63

Northern California -49 to +705 -6 to +88

Compare to TREPP average default rate of 800bp

17

Case Studies ndash business impactThese results showing the impact of energy on default risk are clearly meaningful I dont currently consider energy efficiency when making a loan and seeing this makes me think I would want to ask about itrdquo

I would like to apply these findings but would want an easy way to use it A simple score or ratio for energy risk would be good In fact I would be interested to pilot test it

Keith Hanley Silicon Valley Bank

18

Looking Ahead

Looking Ahead ndash our visionTo have energy factors fully and routinely incorporated in commercial mortgage valuation accelerating demand for buildings with lower energy risk

20

Show that energy matters

Develop and pilot

interventions Disseminate

best practices Institutionalize

Analysis of energy impacts

Long term

Case studies on actual mortgage loans

Protocols and tools for lenders and owners

Industry Standards

Scope of current effort

RecommendationsLenders Ask owners to provide info on energy cost range

Account for variations in energy use and energy price Could be done as part of Property Condition Assessment Can reference ASTM standard

Incorporate energy risk factor into underwriting and terms eg Interest rate discount for lower risk

Offer additional loan proceeds for EE investments

Owners Ask lenders to account for energy efficiency when setting mortgage

terms Provide data on energy costs to lender

Historical and anticipated In appraisal andor PCA

21

Thank you

Money Matters Exploring the Financial Impacts of Green Certifications in the Multifamily Rental Sector

Erin A Hopkins PhD CAPS LEED Green AssociateAssistant Professor of Property Management

bull Sample 153 properties from 2 of National Multifamily Housing Councilrsquos 2016 50 Largest Apartment Managers

bull Green-certified 2288 of properties (35 properties)bull Methodology Multiple Regression Analysisbull Controls Location Fitness Center Pool Outdoor Common Area Walk

Score of Unfurnished Apartments Average Apartment Unit Size Age Building Mix

bull Limitations Building class not directly taken into account

Overview of Research

Certifications Represented in Sample

Austin Energy Green Buildingreg (AEGB)

Rating System(3)

ENERGY STARreg

(1)

Florida Green Building Coalition

(FGBC)(1)

GreenPoint Rated(4)

LEEDreg

(16)

National Green Building Standardtrade

(NGBS)(11)

Properties by City

2

4

2 2 21 1

3

1 1 12 2

1 1 1

6

1 1

8

11

4

6

14

3

1

19

3

1 1

7

43

2

9

18

2 2

0

2

4

6

8

10

12

14

16

18

20

Summary Statistics of City Datan=153

Summary Satistics of City Data Green Bldgs Summary Satistics of City Data Non-Green Comparables

Descriptive

97

71

100

31

89

69

93

24

0

20

40

60

80

100

120

Fitness Center Pool Outdoor Common Area Mixed-Use Property

Summary Statistics of Green vs Non-Green Propertiesn = 153

Green Non-Green

Descriptive

73228

866

2011

74

259

894

2003

0

500

1000

1500

2000

2500

Walk Score Average Number of Units Average Apt Unit Size (sf) Age

Summary Statistics of Green vs Non-Green Properties

n = 153

Green Non-Green

Findings

Total Rents Collected1047

Total Maintenance1254

Property Insurance1319

Total Expenses1311

Higher rents and expenses

Financial Impacts of Green

Dependent Variable Per Square Foot Per Apartment Per PropertyTotal Rents Collected 247$ 2189$ 551683$ Subtotal Maintenance 020$ 178$ 44843$ Property Insurance 005$ 42$ 10601$ Total Expenses 112$ 990$ 249535$

Coefficients Standard Errors

Tables

Summary of Green Impacts

Summary Table

Discussion

bull Assume efficient operations will offset the higher rent

bull Philanthropic motivesbull Prestige motivesbull Green buildings tend to be newermore

likely to offer the more sought-after amenities and finishes

bull Tend to be in higher-income areaslikely have higher rents

Different motivations for paying higher rent may be in

play

Discussion

Higher Operating Expenses a Surprise

Does not align with much of the existing researchhellipbut no research on effects of green certification on total operating expenses within multifamily rental sector

Many of the certifications represented in this study focus on the design phase of the property vs the operations and maintenance phase

And although promotion of sustainability is on the rise in the multifamily housing sector staff may remain unfamiliar with the unique operations and maintenance of green

buildings

Final Thoughts

Apartment homes represent $13 trillion to the US economy and 5 million new rental households are expected by 2023 (National Multifamily Housing Council 2015)

Upfront capital constraints regulatory issues knowledge limitations and marketing concerns may diminish the attractiveness of multifamily rental green building

certification if not properly managed

Most studies focus on office sector andor strictly rents or property value

This study begins to look at the multifamily rental sector and offer a more comprehensive analysis

Further research is needed with larger datasets to understand effects of green certification on income statement components in the apartment industry as NOI

ultimately determines property market valueOptimism that this study can be the impetus for further research contributions on the

financial environmental and resident satisfaction impacts of green practices and certifications on the multifamily rental sector

Contact informationErin A Hopkinserinz1vtedu

Acknowledgementsbull Todd Feist Sustainability Program Manager at The Institute of

Real Estate Management (IREMreg) for his assistance with this research project

bull Yardi and IREMreg for the grant awarded to support this researchbull The two property management companies for sharing their data

BUILDING PERFORMANCE

UNLOCKINGVALUE

New DOE-driven Research Around High Performing Buildings

AUGUST 23 2018

ANDREW WHITEASSOCIATE MANAGERawhiteretechadvisorscom

2015-2016 bull Research design working group pilot study data lab

2017 bull Connect to Real Estate Research Institute (RERI) Literature review and gap analysis

2018 bull Research agenda request for proposals research project selection and execution

Context Setting ndash DOE Research EffortWhat are the impacts of energy efficiency and high-performance building

features on financial performance of commercial real estate

RERIrsquos mission is to encourage and reward research on real estate as an investment and as an asset class that is both academically rigorous and of value to the institutional real estate investment profession In addition RERI serves to provide a forum through which the real estate academic professional and regulatory communities can interact facilitating the exchange of insights amongst these stakeholders

RERI Overview

Sponsors

Build upon DOErsquos Review of Studies in the Market

bull Focus explicitly on peer-reviewed papers Gap analysis of existing research to

identifybull Questions that have already been

sufficiently provenbull Holes in existing body of research

Academic Inputbull Guidance on which studies to includebull Suggestions for how to conduct analysis

Literature Review Objectives

Literature Review Results

LEED

ENER

GY

ST

AR

labe

l

ENER

GY

ST

AR

sc

ore

Ener

gy u

se

BR

EEA

M

Ener

gy

Perf

orm

anc

e Cer

tific

ates

(U

K)

BO

MA

B

EST

Wal

kabi

lity

Non

-ene

rgy

gree

n fe

atur

es

Oth

er

Rent 20 18 1 2 2 2 1 1 1Rent concessions 1 1 1Sales price 9 11 1 1 1 1Assessed value 2 2Market value 1 2 1 2 1Occupancy 10 9 1Lease renewals 1 1 1Service charge 1Operating cost 2 3Energy cost 2 3Tenant satisfaction 1 1 1Sales time 1 1Default rate 2 1Capitalization rate 1 2 2 1Net operating income 1 1 1Loan to value ratio 1 1Debt service coverage ratio 1 1Worker productivity 1 1Other 5 4 1 4 2 2

There is considerable evidence that green building certifications correlate with increased economic value primarily via higher rents and sales prices

bull How do we move beyond certification to analyze performancebull Correlation vs Causation

bull What is driving added value Is it green features and efficiency the green labels themselves or other desirable features often included in certified buildings

Panel studies could help reduce some of the uncertainty and noise Full results presented at ACEEE Summer Study

bull Raising the Rent Premium Moving Green Building Research Beyond Certifications and Rent

bull Cindy Zhu Andrew White Paul Mathew Jeff Deason Philip Coleman

Literature Review Results

Research Agenda Core QuestionldquoHow does ltenergygreen metricgt affect ltfinancial value metricgtrdquo

EnergyGreen Metric

Site energy use or EUI

Source energy use or EUI

Energy cost or costsf

ENERGY STAR score

ENERGY STAR label

Green Building Certification (LEED BOMA 360)

Green Building Certification level (eg LEED Silver Gold)

Financial Value Metric

VacancyOccupancy Sales Price

Leasing Velocity (absorption speed of sales leasing)

Regulatory amp Compliance Risk

Tenant Renewals Insurance (rates ability)

Tenant Satisfaction Default Risk

Rental Income and Rent Concessions Debt Service Coverage Ratio

Marketing Costs Access to Funding

Utility Costs Maintenance OpEx Interest Rates

Obsolescence Reserves

Capitalization Rates

12 proposals received 5 projects selected Criteria

bull Department of Energy goals

bull Impact on Commercial Real Estate (CRE) Industry

bull Feasibility and Interest

bull Quality and Validity

Proposal Reviews

Jim Clayton Avis Devine (York University) and Rogier Holtermans(University of Guelph) Analyzing four types of energy

efficiency interventions on financial components that impact property-level NOI

bull How do interventions impact different aspects of building operations and their subsequent financial impact

Beyond Environmental Building Certification The Impact of Environmental Interventions on Commercial Real Estate Operations

Piet Eichholtz and Nils Kok (Maastricht University) and RogierHoltermans (University of Guelph) Three key questions

bull How is environmental building certification related to commercial building energy consumption

bull How does aging affect the energy consumption of the commercial building stock

bull To what extent do specific energy efficiency investments affect energy consumption in commercial real estate

The Dynamics of Energy Consumption in Commercial Real Estate

Sofia Dermisi Chris Lee and YoungjinChoe (University of Washington) Exploring the effect of disclosure

policies on office building marketability while assessing potential links between market performance of sustainable assets

bull Before and after the disclosure policies while considering market cycles

bull Before and after ENERGY STAR andor LEED certification

Markets included San Francisco Washington DC

Effect of Energy Benchmarking and Disclosure on Office Building Marketability

Dirk Brounen (Tilburg University) and Gianluca Marcato (Reading University) Analyzing the adoption of GRESB within the public real estate markets and

predicting a potential impact of GRESB scores on REIT returns

Sustainable Insights and Public Real Estate Performance GRESB Effects in REIT Markets

Constantine Kontokosta (New York University) Franz Fuerst(Cambridge University) Gary Pivo (University of Arizona) amp Jacob Sagi (UNC Chapel Hill) Utilizing NYC data to empirically model

bull the spread between the premium for labeled (energy efficient) buildings and the cost to retrofit an under-performing building to meet the same standard which will allow us to understand how much of the observed premium is attributable to energy efficiency and how much can be assigned to other perceived benefits (marketing construction quality etc)

bull the hurdle rate for energy retrofit investments using actual audit data and permitted renovation work

Estimating Office and Residential Building Energy Retrofit Hurdle Rates and Risk Arbitrage in Energy Efficiency Investments

Collecting data for continued Data Lab analysis Presenting Research findings

bull Interim research results ndash IPC Research Symposium (October)bull Greenbuild Session (November)bull RERI Research Conference (April)bull Final research results ndash Better Buildings Webinars Summit 2019 (TBA)

Work with DOE case study and data analysis opportunities abound

Next Steps

Paul Mathew

Lawrence Berkeley National Laboratorypamathewlblgov

Paulo Issler

University of California Berkeleypauloisslerberkeleyedu

Erin Hopkins

Virginia Techerinz1vtedu

Andrew White

RE Tech Advisorsawhiteretechadvisorscom

Contact Info

  • Slide Number 1
  • Business Case 20 New Research Around High Performing Buildings
  • Panelists
  • Energy and Default Risk in Commercial Mortgages
  • Paulo Issler
  • Acknowledgements
  • The link between energy and CRE mortgages
  • Approach Impact of energy on default rate
  • Default risk and source EUI (cont)
  • Default risk and source EUI
  • Default risk and source EUI (cont)
  • Default risk and source EUI (cont)
  • What are the impacts on specific loans
  • Case Studies
  • Denver Office ndash energy use and default risk
  • Denver Office ndash energy price and default risk
  • Case Studies ndash summary of risks impacts
  • Case Studies ndash business impact
  • Looking Ahead
  • Looking Ahead ndash our vision
  • Recommendations
  • Slide Number 22
  • Money Matters Exploring the Financial Impacts of Green Certifications in the Multifamily Rental SectorErin A Hopkins PhD CAPS LEED Green AssociateAssistant Professor of Property Management
  • Overview of Research
  • Certifications Represented in Sample
  • Properties by City
  • Descriptive
  • Descriptive
  • Findings
  • Financial Impacts of Green
  • Discussion
  • Discussion
  • Final Thoughts
  • Slide Number 34
  • Slide Number 35
  • Context Setting ndash DOE Research Effort
  • RERI Overview
  • Literature Review Objectives
  • Literature Review Results
  • Literature Review Results
  • Research Agenda Core Question
  • Proposal Reviews
  • Beyond Environmental Building Certification The Impact of Environmental Interventions on Commercial Real Estate Operations
  • The Dynamics of Energy Consumption in Commercial Real Estate
  • Effect of Energy Benchmarking and Disclosure on Office Building Marketability
  • Sustainable Insights and Public Real Estate Performance GRESB Effects in REIT Markets
  • Estimating Office and Residential Building Energy Retrofit Hurdle Rates and Risk Arbitrage in Energy Efficiency Investments
  • Next Steps
  • Contact Info
Y Term ~Bias Estimate EXP estimate Practical Interpretation increasedecrease Std Error DFDen t Ratio Probgt|t| Log(Vacancies amp Rent Loss rentable sf) Log(Total Rents Collected rentable sf) Log(Total Actual Collections rentable sf) Log(Management Fee rentable sf) Log(Total Utilities Rentable sf) Log(MampR rentable sf) Log(Subtotal Maintenance rentable sf) Log(Property Insurance rentable sf) Log(Total All Expenses Rentable sf) Log(NOI Rentable sf) Concessions rentable sf
Log(Vacancies amp Rent Loss rentable sf) Intercept 00893029328 10934118365 934 06116337119 1083785495375 01460072116 08841869197 Green Certified (1=yes 0=no)[Yes] -00318 01047 00991
Log(Vacancies amp Rent Loss rentable sf) Green Certified (1=yes 0=no)[Yes] -0031825668 09686754385 -313 009164153 139931853592 -03472843369 07288994904 Gym (1=yes 0=no)[Yes] 01060 00708 00767
Log(Vacancies amp Rent Loss rentable sf) Gym (1=yes 0=no)[Yes] 01007730854 11060256399 1060 01479591517 1412043780621 0681087207 0496931725 Pool (1=yes 0=no)[Yes] 01126 00089 00131
Log(Vacancies amp Rent Loss rentable sf) Pool (1=yes 0=no)[Yes] 01125884395 11191712315 1192 0113345701 506840641957 09933190097 032527325 Outdoor Common Area (1=yes 0=no)[Yes] 02673 -00803 -00764
Log(Vacancies amp Rent Loss rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 02672618233 13063824429 3064 01690835398 1429144230275 15806495624 01161688791 Walk Score 00102 00065 00066
Log(Vacancies amp Rent Loss rentable sf) Walk Score 00101642302 10102160615 102 00040763935 1219632686439 24934369735 00139912712 of Unfurnished Apartments -00003 -00009 -00008
Log(Vacancies amp Rent Loss rentable sf) of Unfurnished Apartments -0000250981 09997490505 -003 00006011213 142449410245 -04175214322 06769256723 Average Apt Unit Size -00003 -00002 -00002
Log(Vacancies amp Rent Loss rentable sf) Average Apt Unit Size -00002575258 09997425074 -003 00004990119 1315989429881 -05160713681 06066705884 Age -00026 00008 00015
Log(Vacancies amp Rent Loss rentable sf) Age -00026152008 09973882158 -026 00056263988 1391583522195 -04648090107 06427946925 Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00099 00043 00252
Log(Vacancies amp Rent Loss rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00099001013 10099492694 099 0100821633 1384002310718 00981942166 09219201454
Log(Total Rents Collected rentable sf) Intercept 30195696974 204824761253 194825 04164909532 1420770663705 72500246992 0
Log(Total Rents Collected rentable sf) Green Certified (1=yes 0=no)[Yes] 00996165255 11047471944 1047
Hopkins Erin Hopkins Erincant provide a confidencd interval for it
00590542761 1286416575023 16868638818 0094053065
Log(Total Rents Collected rentable sf) Gym (1=yes 0=no)[Yes] 00684081888 10708023088 708 0096210834 1330244953516 07110237581 04783143732
Log(Total Rents Collected rentable sf) Pool (1=yes 0=no)[Yes] 00088712036 10089106694 089 00916333982 708572236354 00968119025 09231490817
Log(Total Rents Collected rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00836597449 09197441505 -803 01126005752 1404546011941 -07429779537 04587359136
Log(Total Rents Collected rentable sf) Walk Score 0006479206 10065002414 065 0002794287 1413201347208 23187331419 00218436949
Log(Total Rents Collected rentable sf) of Unfurnished Apartments -00008678845 0999132492 -009 00003932429 1359586026848 -22069932213 00289920945
Log(Total Rents Collected rentable sf) Average Apt Unit Size -00002078918 09997921298 -002 00003300088 1382568544162 -06299582685 05297616269
Log(Total Rents Collected rentable sf) Age 00008364704 10008368204 008 00037477419 1387794745176 02231931757 08237133506
Log(Total Rents Collected rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00042999624 10043092206 043 0069466499 142786243042 00618998008 09507291881
Log(Total Actual Collections rentable sf) Intercept 30681072891 215011686418 205012 04070110501 1415072794017 75381424868 0
Log(Total Actual Collections rentable sf) Green Certified (1=yes 0=no)[Yes] 00944491888 10990533175 991 00578900924 1291837028308 16315259643 01052148631
Log(Total Actual Collections rentable sf) Gym (1=yes 0=no)[Yes] 00739127176 10767128233 767 0094247393 1335821297113 07842415071 04342868782
Log(Total Actual Collections rentable sf) Pool (1=yes 0=no)[Yes] 00130418887 10131273051 131 00885804441 654593026021 01472321442 08834013324
Log(Total Actual Collections rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00794248992 0923647384 -764 01101507414 1410305976559 -07210564195 04720684016
Log(Total Actual Collections rentable sf) Walk Score 00065530115 10065745295 066 00027272037 14047408887 24028316857 00175745575
Log(Total Actual Collections rentable sf) of Unfurnished Apartments -0000833078 09991672689 -008 00003850262 1365168778586 -21636916411 00322285543
Log(Total Actual Collections rentable sf) Average Apt Unit Size -00002169447 09997830788 -002 00003233576 1393662972101 -06709126047 05033865944
Log(Total Actual Collections rentable sf) Age 00015178151 10015189676 015 0003670824 1398532082324 04134807595 06798877496
Log(Total Actual Collections rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00249154485 10252284322 252 0067842812 1423468871242 03672525904 07139760316
Log(Management Fee rentable sf) Intercept -02128803278 08082528568 -1917 04254329778 585619088893 -0500385111 06186792644
Log(Management Fee rentable sf) Green Certified (1=yes 0=no)[Yes] 0019865513 10200641454 201 00593086525 1354977267554 03349513461 07381797603
Log(Management Fee rentable sf) Gym (1=yes 0=no)[Yes] -00082052627 09918283086 -082 00958032958 1386068833723 -00856469772 09318706455
Log(Management Fee rentable sf) Pool (1=yes 0=no)[Yes] 00174275629 10175803089 176 00771880661 202180965349 02257805358 08236388274
Log(Management Fee rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00153191452 10154370848 154 01103651216 1423896402644 01388042255 08898009734
Log(Management Fee rentable sf) Walk Score 00070459229 10070708039 071 00028008303 805559990921 25156550566 0013868745
Log(Management Fee rentable sf) of Unfurnished Apartments -0001358177 09986427449 -014 00003916726 1421224837061 -34676335479 00006950146
Log(Management Fee rentable sf) Average Apt Unit Size -00005130214 09994871101 -005 00003375961 1007585612206 -15196307445 0131735624
Log(Management Fee rentable sf) Age 00013613923 10013623194 014 00037151697 1277713043957 03664414822 07146417588
Log(Management Fee rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -00674463479 09347778721 -652 00657081953 1299283630266 -10264525997 03065854809
Log(Total Utilities Rentable sf) Intercept -03748562337 06873880949 -3126 04464274077 1402143832266 -08396801522 04025171642
Log(Total Utilities Rentable sf) Green Certified (1=yes 0=no)[Yes] 00873163337 10912418217 912 0064576715 1358457024729 13521334071 01785794114
Log(Total Utilities Rentable sf) Gym (1=yes 0=no)[Yes] 01175979311 11247917766 1248 01048349264 1384172144229 11217438221 02639135776
Log(Total Utilities Rentable sf) Pool (1=yes 0=no)[Yes] 00115680134 10116351816 116 00928512423 72633370166 01245865221 09011950626
Log(Total Utilities Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00222539972 10225034645 225 01216524447 1425571484619 01829309493 0855112103
Log(Total Utilities Rentable sf) Walk Score 00068649233 10068885409 069 00029812807 1396033046894 23026759291 00227754146
Log(Total Utilities Rentable sf) of Unfurnished Apartments -00006773222 09993229071 -007 00004273761 1401067188346 -15848386198 01152575495
Log(Total Utilities Rentable sf) Average Apt Unit Size -00003442022 0999655857 -003 00003581401 1425120147852 -09610825805 03381384619
Log(Total Utilities Rentable sf) Age 00048795122 10048914364 049 00040600929 1425855030198 12018227897 02314244716
Log(Total Utilities Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -01198355423 08870663096 -1129 00742421382 1413320388001 -16141176043 01087323819
Log(MampR rentable sf) Intercept -09030689887 04053238148 -5947 0437858541 1384008312652 -20624674504 00410332652
Log(MampR rentable sf) Green Certified (1=yes 0=no)[Yes] 00937424436 10982768413 983 00639155521 1376081716673 14666609392 01447499128
Log(MampR rentable sf) Gym (1=yes 0=no)[Yes] 00037664885 10037735907 038 01036113865 1396450691334 00363520715 09710535435
Log(MampR rentable sf) Pool (1=yes 0=no)[Yes] 01319613595 11410642271 1411 00887446725 719561267791 14869778183 0141389644
Log(MampR rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00521515872 09491849716 -508 01197720975 1428478988157 -04354235112 06639122497
Log(MampR rentable sf) Walk Score 00110131704 10110740386 111 00029197236 1385662208531 37719907631 00002391344
Log(MampR rentable sf) of Unfurnished Apartments -00008849955 09991153959 -009 00004219429 1410140957414 -20974297602 0037740228
Log(MampR rentable sf) Average Apt Unit Size 00000594506 10000594524 001 0000353075 1429981472006 01683796031 08665225748
Log(MampR rentable sf) Age 0007624822 1007653965 077 00039990018 142990029884 19066812998 00585678315
Log(MampR rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00598131349 10616381449 616 00727173027 1406732379184 08225433659 04121598071
Log(Subtotal Maintenance rentable sf) Intercept -07997344997 04494482769 -5506 0489167182 1380935604874 -16348899298 01043496414
Log(Subtotal Maintenance rentable sf) Green Certified (1=yes 0=no)[Yes] 01180969773 11253532398 1254 00707986514 1348907221481 16680681771 00976219515
Log(Subtotal Maintenance rentable sf) Gym (1=yes 0=no)[Yes] 00409351965 10417845921 418 01148796072 1378640116803 03563312718 07221372278
Log(Subtotal Maintenance rentable sf) Pool (1=yes 0=no)[Yes] 01515780559 11636691295 1637 0100780712 617547240206 15040383505 01376688864
Log(Subtotal Maintenance rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -0078076377 09248937833 -751 01331885868 1426567369893 -05862092154 05586613077
Log(Subtotal Maintenance rentable sf) Walk Score 0011889233 10119601909 120 00032614069 1377504918879 36454307183 00003773801
Log(Subtotal Maintenance rentable sf) of Unfurnished Apartments -00008153416 09991849907 -008 00004682078 1398534995511 -17414095506 00838107083
Log(Subtotal Maintenance rentable sf) Average Apt Unit Size 00005083484 10005084776 005 00003930253 1428434249161 12934242295 01979520949
Log(Subtotal Maintenance rentable sf) Age 00104106727 10104650523 105 00044515054 1428449267664 23386858733 00207383998
Log(Subtotal Maintenance rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 02440298206 12763823925 2764 0081177414 1402563601749 30061295196 00031359748
Log(Property Insurance rentable sf) Intercept -08916874806 04099633635 -5900 04516384713 1429624291993 -19743390727 00502702101
Log(Property Insurance rentable sf) Green Certified (1=yes 0=no)[Yes] 01239058141 11319092561 1319 0062692592 1281678143933 19764027959 00502564371
Log(Property Insurance rentable sf) Gym (1=yes 0=no)[Yes] -0003522638 09964835593 -035 01024969537 1314939748594 -0034368221 09726356404
Log(Property Insurance rentable sf) Pool (1=yes 0=no)[Yes] 00227423743 10230029538 230 01040308572 1125700947624 02186118131 08273482928
Log(Property Insurance rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00155809876 10157030041 157 01206677853 1368483458399 01291230096 08974498986
Log(Property Insurance rentable sf) Walk Score 00072977866 10073244804 073 00030353828 1428602075435 24042392705 00174877086
Log(Property Insurance rentable sf) of Unfurnished Apartments -00010061941 09989943119 -010 0000420017 1337858380697 -23956034086 00179774093
Log(Property Insurance rentable sf) Average Apt Unit Size -00006330482 09993671521 -006 00003514502 1338864329416 -18012458048 0073914725
Log(Property Insurance rentable sf) Age 00009661099 10009665767 010 00039921418 1338497494964 02420028921 08091483095
Log(Property Insurance rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -00520208103 09493091112 -507 00749301111 1411273861679 -06942577501 04886618561
Log(Total All Expenses Rentable sf) Intercept 17410862845 57035357214 47035 03946731547 141889623796 44114636723 00000201648
Log(Total All Expenses Rentable sf) Green Certified (1=yes 0=no)[Yes] 01231722438 11310792255 1311 00565275641 1341244163534 21789766772 00310802733
Log(Total All Expenses Rentable sf) Gym (1=yes 0=no)[Yes] 00096244971 10096709615 097 00919378962 1370603130567 01046847658 09167789899
Log(Total All Expenses Rentable sf) Pool (1=yes 0=no)[Yes] 01610294116 11747195186 1747 00846545666 801516751987 19021940341 00607378863
Log(Total All Expenses Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00361842114 09644626121 -355 01071504659 1418739239709 -03376953252 07360919324
Log(Total All Expenses Rentable sf) Walk Score 00087371658 10087754463 088 00026426023 1411809488418 33062734678 00011989895
Log(Total All Expenses Rentable sf) of Unfurnished Apartments -00008720665 09991283137 -009 00003752966 1389800988186 -23236728617 00215934791
Log(Total All Expenses Rentable sf) Average Apt Unit Size -0000155413 0999844599 -002 00003145108 1409449329598 -0494142052 06219751067
Log(Total All Expenses Rentable sf) Age 00015666155 10015678433 016 00035695206 1412387206124 04388868073 06614142124
Log(Total All Expenses Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00157918953 10159172462 159 00657593447 1424551160559 02401467861 08105616925
Log(NOI Rentable sf) Intercept 27416093787 155119295878 145119 049686036 1426328429735 55178669889 0000000157
Log(NOI Rentable sf) Green Certified (1=yes 0=no)[Yes] 00932241108 10977077159 977 00701671113 1292740226257 13286012361 01863200879
Log(NOI Rentable sf) Gym (1=yes 0=no)[Yes] 0111280688 11177085902 1177 0114413579 13320261997 09726178396 03325061802
Log(NOI Rentable sf) Pool (1=yes 0=no)[Yes] -00608871507 0940929417 -591 01107002034 838263437204 -05500184174 05837693269
Log(NOI Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -01393113526 08699571229 -1300 01340931949 1397855428856 -10389144106 03006382455
Log(NOI Rentable sf) Walk Score 00045000262 10045101666 045 0003337636 1423581725818 13482675372 01797136327
Log(NOI Rentable sf) of Unfurnished Apartments -00007116645 09992885887 -007 00004679272 1358400867851 -15208872073 01306124688
Log(NOI Rentable sf) Average Apt Unit Size -00001937801 09998062387 -002 00003921685 1372175013367 -04941245389 06220083144
Log(NOI Rentable sf) Age 00034607088 1003466704 035 00044548378 1376438770548 07768428318 04385844885
Log(NOI Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00488697769 10500835966 501 00828565286 1429949688826 05898120243 0556247504
Concessions rentable sf Intercept 0091580439 10959049266 959 12772069558 1418541020247 00717036801 09429387231
Concessions rentable sf Green Certified (1=yes 0=no)[Yes] 01110697527 11174728508 1175 01814813765 1293641668833 06120173584 05416004511
Concessions rentable sf Gym (1=yes 0=no)[Yes] -05094051331 06008529 -3991 02955403985 1336296409402 -17236395961 00870857294
Concessions rentable sf Pool (1=yes 0=no)[Yes] -00886152984 09151975838 -848 02791864929 69298361986 -03174053928 07518903943
Concessions rentable sf Outdoor Common Area (1=yes 0=no)[Yes] 04576291372 15803228114 5803 03455726285 1408379747117 13242632646 01875606951
Concessions rentable sf Walk Score 00120688741 10121419968 121 00085630896 1409791646097 14094064916 01609170757
Concessions rentable sf of Unfurnished Apartments -00007045588 09992956894 -007 00012075862 1364744404696 -05834438741 05605574922
Concessions rentable sf Average Apt Unit Size -00003193903 09996806607 -003 00010135961 1389703034326 -03151061148 07531537379
Concessions rentable sf Age 00130223218 10131074815 131 00115086772 139464867267 11315220311 02597773256
Concessions rentable sf Building Mix (0=multifamily 1 = mixed-use)[Mixed] -03719888249 06893619462 -3106 02129597676 1426034459287 -17467563435 00828326573
Y Term Practical Interpretation increasedecrease Probgt|t| Total Rents Collected Subtotal Maintenance Property Insurance Total Expenses
Log(Total Rents Collected rentable sf) Green Certified (1=yes 0=no)[Yes] 1047
Hopkins Erin Hopkins Erincant provide a confidencd interval for it
009 130837635934 13311489362 01847683215 67633617021
Log(Subtotal Maintenance rentable sf) Green Certified (1=yes 0=no)[Yes] 1254 010 267662568114 08839769656 0489370035 133484365708
Log(Property Insurance rentable sf) Green Certified (1=yes 0=no)[Yes] 1319 005 44887430941 07758149459 02417429373 41261056301
Log(Total All Expenses Rentable sf) Green Certified (1=yes 0=no)[Yes] 1311 003 103066299601 12390720963 00474343371 5067818194
206907297628 2385711159 02072356932 9194606526
318766961061 22633758919 04452208547 128154919371
92461669878 09545425866 01280485733 38832017239
143925847783 15966970999 02187893202 54018796992
176714125561 02006495648 02876780533 58992020575
232897515382 0726170332 00787094673 69517596041
Non-green sf average Financial Green Impact sf Financial green impact differencesf Green impactapt Green impactproperty 51780910259 05203453537 00494304264 22609306646
178353784788 17547710996 02048626598 95961490345
Total Rents Collected sf 1047 2356 2603 $ 247 $ 2189 $ 551683 113769814112 12206875575 03432049607 118156743193
Subtotal Maintenance sf 1254 160 180 $ 020 $ 178 $ 44843 301239240258 10561596849 0204970258 110903994641
Property Insurance sf 1319 036 041 $ 005 $ 42 $ 10601 918584487 08376649832 00914663991 4146546939
Total Expenses sf 1311 852 963 $ 112 $ 990 $ 249535 265183769576 19294929362 03500602344 108447158033
226055903548 13557897255 03988791741 10971207244
334894587007 17970717884 05122599181 124640467569
5542518821 31394328066 04875650977 200668786372
112655732059 13445692884 02031297086 43995867235
129139526152 1168069688 00518980213 4651511283
Avg Apt Size Avg of Units 151098478261 13975 02004130435 51873478261
192155046737 21015937064 02616549091 8357602264
887 252 514840434082 52766375656 02375463267 174375582672
81421971535 06694487849 00899424521 2748686222
30246817244 21594341279 03308639536 97277207077
488523197409 27727612187 0646599696 130752346177
318750561687 38903340576 03852711795 142409683793
310384048163 43119745565 03335824966 138846874251
Green Certification Impacts 48578215663 0350218077 03095574205 23695139998
Dependent Variable Per Square Foot Per Apartment Per Property 192237574111 13374121765 02053242615 84027476689
Total Rents Collected $ 247 $ 2189 $ 551683 62979912788 05343191729 00816289996 45390243161
Subtotal Maintenance $ 020 $ 178 $ 44843 148378959661 14651715909 02004049722 80900580942
Property Insurance $ 005 $ 42 $ 10601 196798863889 11267176542 02499920663 90266351433
Total Expenses $ 112 $ 990 $ 249535 281508617823 09686995581 01118170881 119863342059
58584849751 0106864586 04187933949 44180073736
126756167712 1265684516 02796423029 87538414144
176550549412 24957340254 02343899179 88904473415
252421786235 28063734042 03142238564 133776179357
191875932907 13637043757 03440324697 987034902
159508092934 13109374847 02091697013 98967206196
342739845467 09614092295 03929892961 129755936769
192510355167 32804720611 01743191858 134560085596
257829360401 13666691797 01527100011 56329812754
358622391559 14251973427 03437553732 101098436889
217744157919 24046486586 01864745418 68711016642
222112557003 22022148788 07879755849 97807110765
202535763689 04548110217 10003436751 127886698915
155879815194 23816051158 04816227091 119033557201
11066078843 23413202706 06413902496 81812176347
151924709838 18873401649 05711000232 105403544539
163604010853 16052949068 02714509557 82030431823
133974400047 11018949984 03560839935 59096477943
133528448829 13647819036 02538331588 66159357367
187400008959 16889788117 030870974 115752907975
155246293804 18308314258 03852380906 116657595614
34082816218 05447090935 09838411173 13641308574
201220131342 11192465065 03188344246 93786154242
139108532616 13313944086 03887737775 69698295902
191656858207 15717927807 06002115982 119380046581
200921599083 12597596226 03267106334 82474085087
57536742874 00453219212 00300766262 10569757217
120548294116 11607892527 03275736725 74435143659
123188534664 1404028789 03510968138 78762080781
59543029729 0899713372 01652374748 28143456117
144215639215 19193238703 02899837711 67370054173
340046684831 19619729415 04325060698 120608464163
208244777176 28183367899 037 73104355304
234349752613 19432301154 0351134881 107484594815
136370903402 17029933791 01989576534 50899930579
149968383478 14209793679 02735642323 63813718869
81145819519 0920766851 00474564037 30674168785
226307446224 12529424404 02036192613 69235920453
132787305462 08047482453 01232346659 41808605432
251519090044 21798380428 0376480317 80396623551
492269138212 12196979039 02981674812 128316943664
107177195916 08016374211 0113808252 40618650625
128238528886 10751217142 01843492552 6476830365
57582611557 11908427448 0874334536 134004066235
43835651097 34822540694 03904989384 146763800425
205787355386 1429219053 02624404931 5321754079
463148430769 07709353846 06150738462 101617384615
377949548611 28670972222 08296944444 109743576389
360087564176 03501711352 18551055334 110041072447
18371979614 18232783153 07267294459 61184870906
678035276363 13443501226 10431616676 167533484248
56073359244 10138647576 01591318768 51440832304
189431314891 05101557395 03677787459 41010945328
383550342095 23244425576 04086557393 98151764619
115544349685 03310482653 037 40344851625
7552318246 0955023726 01241945851 24368780848
133083101881 19451300341 00938801919 48731378614
122308363087 13760780005 01439989014 45100624828
84908269322 10857071617 01155797799 36082570734
263116048067 10733627163 041902582 60372732395
76183752731 09621126305 01069925907 26170373239
172494454001 11781600332 03919686814 59016193131
342076422068 22741368431 03165622465 73557085549
215534567901 1485497076 02210396361 49118778428
314593058927 23798916958 02751353803 121998559501
586535191691 21029046354 02109026171 91979074439
138093310078 14595490221 02142269839 44286283792
227203645682 04584630891 05737147639 93344680527
572754455737 17713614269 01642228739 92545561671
60603870458 04541110154 01180884676 15902125521
358781017266 33847643857 06854022643 139200146946
342079216629 24477703832 0463059603 67166143833
651201231187 51019950176 12529595849 222094150831
369798669702 21700816928 0444474205 101410502507
421838575952 28823013788 05443272608 151399739597
626095189209 20826275416 04947814184 184651096472
214882899762 25034709712 06359683889 109534721722
274037120739 26718517094 037 67504928595
252667703737 25588590114 05379535858 109041874345
59253832495 01099622961 04620367393 19262874847
150862851538 18053109961 07398729558 71488607075
111196959019 00928417366 037 09427894164
667360269858 07921160191 02989609494 104670639024
2356 160 036 852
Log(Vacancies amp Rent Loss rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified -00318 00916 -00313 07289
Fitness Center 01008 01480 01060 04969
Pool 01126 01133 01192 03253
Outdoor Common Area 02673 01691 03064 01162
Walk Score 00102 00041 00102 00140
of Unfurnished Apartments -00003 00006 -00003 06769
Average Apt Unit Size -00003 00005 -00003 06067
Age -00026 00056 -00026 06428
Building Mix 00099 01008 00099 09219
Note R2 = 645
Log(Total Rents Collected rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00996 00591 01047 00941
Fitness Center 00684 00962 00708 04783
Pool 00089 00916 00089 09231
Outdoor Common Area -00837 01126 -00803 04587
Walk Score 00065 00028 00065 00218
of Unfurnished Apartments -00009 00004 -00009 00290
Average Apt Unit Size -00002 00003 -00002 05298
Age 00008 00037 00008 08237
Building Mix 00043 00695 00043 09507
Note R2 = 3318
Log(Total Actual Collections rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00944 00579 00991 01052
Fitness Center 00739 00942 00767 04343
Pool 00130 00886 00131 08834
Outdoor Common Area -00794 01102 -00764 04721
Walk Score 00066 00027 00066 00176
of Unfurnished Apartments -00008 00004 -00008 00322
Average Apt Unit Size -00002 00003 -00002 05034
Age 00015 00037 00015 06799
Building Mix 00249 00678 00252 07140
Note R2 = 3219
Log(Management Fee rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00199 00593 00201 07382
Fitness Center -00082 00958 -00082 09319
Pool 00174 00772 00176 08236
Outdoor Common Area 00153 01104 00154 08898
Walk Score 00070 00028 00071 00139
of Unfurnished Apartments -00014 00004 -00014 00007
Average Apt Unit Size -00005 00003 -00005 01317
Age 00014 00037 00014 07146
Building Mix -00674 00657 -00652 03066
Note R2 = 1697
Log(Total Utilities Rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00873 00646 00912 01786
Fitness Center 01176 01048 01248 02639
Pool 00116 00929 00116 09012
Outdoor Common Area 00223 01217 00225 08551
Walk Score 00069 00030 00069 00228
of Unfurnished Apartments -00007 00004 -00007 01153
Average Apt Unit Size -00003 00004 -00003 03381
Age 00049 00041 00049 02314
Building Mix -01198 00742 -01129 01087
Note R2 = 2171
Log(MampR rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00937 00639 00983 01447
Fitness Center 00038 01036 00038 09711
Pool 01320 00887 01411 01414
Outdoor Common Area -00522 01198 -00508 06639
Walk Score 00110 00029 00111 00002
of Unfurnished Apartments -00009 00004 -00009 00377
Average Apt Unit Size 00001 00004 00001 08665
Age 00076 00040 00077 00586
Building Mix 00598 00727 00616 04122
Note R2 = 2620
Log(Subtotal Maintenance rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 01181 00708 01254 00976
Fitness Center 00409 01149 00418 07221
Pool 01516 01008 01637 01377
Outdoor Common Area -00781 01332 -00751 05587
Walk Score 00119 00033 00120 00004
of Unfurnished Apartments -00008 00005 -00008 00838
Average Apt Unit Size 00005 00004 00005 01980
Age 00104 00045 00105 00207
Building Mix 02440 00812 02764 00031
Note R2 = 3218
Log(Property Insurance rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 01239 00627 01319 00503
Fitness Center -00035 01025 -00035 09726
Pool 00227 01040 00230 08273
Outdoor Common Area 00156 01207 00157 08974
Walk Score 00073 00030 00073 00175
of Unfurnished Apartments -00010 00004 -00010 00180
Average Apt Unit Size -00006 00004 -00006 00739
Age 00010 00040 00010 08091
Building Mix -00520 00749 -00507 04887
Note R2 = 3902
Log(Total All Expenses Rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 01232 00565 01311 00311
Fitness Center 00096 00919 00097 09168
Pool 01610 00847 01747 00607
Outdoor Common Area -00362 01072 -00355 07361
Walk Score 00087 00026 00088 00012
of Unfurnished Apartments -00009 00004 -00009 00216
Average Apt Unit Size -00002 00003 -00002 06220
Age 00016 00036 00016 06614
Building Mix 00158 00658 00159 08106
Note R2 = 2943
Log(NOI Rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00932 00702 00977 01863
Fitness Center 01113 01144 01177 03325
Pool -00609 01107 -00591 05838
Outdoor Common Area -01393 01341 -01300 03006
Walk Score 00045 00033 00045 01797
of Unfurnished Apartments -00007 00005 -00007 01306
Average Apt Unit Size -00002 00004 -00002 06220
Age 00035 00045 00035 04386
Building Mix 00489 00829 00501 05562
Note R2 = 3669
Concessions rentable sf
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 01111 01815 01175 05416
Fitness Center -05094 02955 -03991 00871
Pool -00886 02792 -00848 07519
Outdoor Common Area 04576 03456 05803 01876
Walk Score 00121 00086 00121 01609
of Unfurnished Apartments -00007 00012 -00007 05606
Average Apt Unit Size -00003 00010 -00003 07532
Age 00130 00115 00131 02598
Building Mix -03720 02130 -03106 00828
Note R2 = 2402
Y Term ~Bias Estimate EXP estimate Practical Interpretation increasedecrease Std Error DFDen t Ratio Probgt|t| Estimate Std Error Practical Interpretation Significance
Log(Vacancies amp Rent Loss rentable sf) Intercept 00893029328 10934118365 934 06116337119 1083785495375 01460072116 08841869197 Green Cert
Log(Vacancies amp Rent Loss rentable sf) Green Certified (1=yes 0=no)[Yes] -0031825668 09686754385 -313 009164153 139931853592 -03472843369 07288994904 Gym
Log(Vacancies amp Rent Loss rentable sf) Gym (1=yes 0=no)[Yes] 01007730854 11060256399 1060 01479591517 1412043780621 0681087207 0496931725
Log(Vacancies amp Rent Loss rentable sf) Pool (1=yes 0=no)[Yes] 01125884395 11191712315 1192 0113345701 506840641957 09933190097 032527325
Log(Vacancies amp Rent Loss rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 02672618233 13063824429 3064 01690835398 1429144230275 15806495624 01161688791
Log(Vacancies amp Rent Loss rentable sf) Walk Score 00101642302 10102160615 102 00040763935 1219632686439 24934369735 00139912712
Log(Vacancies amp Rent Loss rentable sf) of Unfurnished Apartments -0000250981 09997490505 -003 00006011213 142449410245 -04175214322 06769256723
Log(Vacancies amp Rent Loss rentable sf) Average Apt Unit Size -00002575258 09997425074 -003 00004990119 1315989429881 -05160713681 06066705884
Log(Vacancies amp Rent Loss rentable sf) Age -00026152008 09973882158 -026 00056263988 1391583522195 -04648090107 06427946925
Log(Vacancies amp Rent Loss rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00099001013 10099492694 099 0100821633 1384002310718 00981942166 09219201454
Log(Total Rents Collected rentable sf) Intercept 30195696974 204824761253 194825 04164909532 1420770663705 72500246992 0
Log(Total Rents Collected rentable sf) Green Certified (1=yes 0=no)[Yes] 00996165255 11047471944 1047
Hopkins Erin Hopkins Erincant provide a confidencd interval for it
00590542761 1286416575023 16868638818 0094053065 0099617 00590542761 1047
Log(Total Rents Collected rentable sf) Gym (1=yes 0=no)[Yes] 00684081888 10708023088 708 0096210834 1330244953516 07110237581 04783143732
Log(Total Rents Collected rentable sf) Pool (1=yes 0=no)[Yes] 00088712036 10089106694 089 00916333982 708572236354 00968119025 09231490817
Log(Total Rents Collected rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00836597449 09197441505 -803 01126005752 1404546011941 -07429779537 04587359136
Log(Total Rents Collected rentable sf) Walk Score 0006479206 10065002414 065 0002794287 1413201347208 23187331419 00218436949
Log(Total Rents Collected rentable sf) of Unfurnished Apartments -00008678845 0999132492 -009 00003932429 1359586026848 -22069932213 00289920945 variance components to talk about how much of the total error that is attribuatle to city
Log(Total Rents Collected rentable sf) Average Apt Unit Size -00002078918 09997921298 -002 00003300088 1382568544162 -06299582685 05297616269
Log(Total Rents Collected rentable sf) Age 00008364704 10008368204 008 00037477419 1387794745176 02231931757 08237133506
Log(Total Rents Collected rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00042999624 10043092206 043 0069466499 142786243042 00618998008 09507291881
Log(Total Actual Collections rentable sf) Intercept 30681072891 215011686418 205012 04070110501 1415072794017 75381424868 0
Log(Total Actual Collections rentable sf) Green Certified (1=yes 0=no)[Yes] 00944491888 10990533175 991 00578900924 1291837028308 16315259643 01052148631
Log(Total Actual Collections rentable sf) Gym (1=yes 0=no)[Yes] 00739127176 10767128233 767 0094247393 1335821297113 07842415071 04342868782
Log(Total Actual Collections rentable sf) Pool (1=yes 0=no)[Yes] 00130418887 10131273051 131 00885804441 654593026021 01472321442 08834013324
Log(Total Actual Collections rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00794248992 0923647384 -764 01101507414 1410305976559 -07210564195 04720684016
Log(Total Actual Collections rentable sf) Walk Score 00065530115 10065745295 066 00027272037 14047408887 24028316857 00175745575
Log(Total Actual Collections rentable sf) of Unfurnished Apartments -0000833078 09991672689 -008 00003850262 1365168778586 -21636916411 00322285543
Log(Total Actual Collections rentable sf) Average Apt Unit Size -00002169447 09997830788 -002 00003233576 1393662972101 -06709126047 05033865944
Log(Total Actual Collections rentable sf) Age 00015178151 10015189676 015 0003670824 1398532082324 04134807595 06798877496
Log(Total Actual Collections rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00249154485 10252284322 252 0067842812 1423468871242 03672525904 07139760316
Log(Management Fee rentable sf) Intercept -02128803278 08082528568 -1917 04254329778 585619088893 -0500385111 06186792644
Log(Management Fee rentable sf) Green Certified (1=yes 0=no)[Yes] 0019865513 10200641454 201 00593086525 1354977267554 03349513461 07381797603
Log(Management Fee rentable sf) Gym (1=yes 0=no)[Yes] -00082052627 09918283086 -082 00958032958 1386068833723 -00856469772 09318706455
Log(Management Fee rentable sf) Pool (1=yes 0=no)[Yes] 00174275629 10175803089 176 00771880661 202180965349 02257805358 08236388274
Log(Management Fee rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00153191452 10154370848 154 01103651216 1423896402644 01388042255 08898009734
Log(Management Fee rentable sf) Walk Score 00070459229 10070708039 071 00028008303 805559990921 25156550566 0013868745
Log(Management Fee rentable sf) of Unfurnished Apartments -0001358177 09986427449 -014 00003916726 1421224837061 -34676335479 00006950146
Log(Management Fee rentable sf) Average Apt Unit Size -00005130214 09994871101 -005 00003375961 1007585612206 -15196307445 0131735624
Log(Management Fee rentable sf) Age 00013613923 10013623194 014 00037151697 1277713043957 03664414822 07146417588
Log(Management Fee rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -00674463479 09347778721 -652 00657081953 1299283630266 -10264525997 03065854809
Log(Total Utilities Rentable sf) Intercept -03748562337 06873880949 -3126 04464274077 1402143832266 -08396801522 04025171642
Log(Total Utilities Rentable sf) Green Certified (1=yes 0=no)[Yes] 00873163337 10912418217 912 0064576715 1358457024729 13521334071 01785794114
Log(Total Utilities Rentable sf) Gym (1=yes 0=no)[Yes] 01175979311 11247917766 1248 01048349264 1384172144229 11217438221 02639135776
Log(Total Utilities Rentable sf) Pool (1=yes 0=no)[Yes] 00115680134 10116351816 116 00928512423 72633370166 01245865221 09011950626
Log(Total Utilities Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00222539972 10225034645 225 01216524447 1425571484619 01829309493 0855112103
Log(Total Utilities Rentable sf) Walk Score 00068649233 10068885409 069 00029812807 1396033046894 23026759291 00227754146
Log(Total Utilities Rentable sf) of Unfurnished Apartments -00006773222 09993229071 -007 00004273761 1401067188346 -15848386198 01152575495
Log(Total Utilities Rentable sf) Average Apt Unit Size -00003442022 0999655857 -003 00003581401 1425120147852 -09610825805 03381384619
Log(Total Utilities Rentable sf) Age 00048795122 10048914364 049 00040600929 1425855030198 12018227897 02314244716
Log(Total Utilities Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -01198355423 08870663096 -1129 00742421382 1413320388001 -16141176043 01087323819
Log(MampR rentable sf) Intercept -09030689887 04053238148 -5947 0437858541 1384008312652 -20624674504 00410332652
Log(MampR rentable sf) Green Certified (1=yes 0=no)[Yes] 00937424436 10982768413 983 00639155521 1376081716673 14666609392 01447499128
Log(MampR rentable sf) Gym (1=yes 0=no)[Yes] 00037664885 10037735907 038 01036113865 1396450691334 00363520715 09710535435
Log(MampR rentable sf) Pool (1=yes 0=no)[Yes] 01319613595 11410642271 1411 00887446725 719561267791 14869778183 0141389644
Log(MampR rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00521515872 09491849716 -508 01197720975 1428478988157 -04354235112 06639122497
Log(MampR rentable sf) Walk Score 00110131704 10110740386 111 00029197236 1385662208531 37719907631 00002391344
Log(MampR rentable sf) of Unfurnished Apartments -00008849955 09991153959 -009 00004219429 1410140957414 -20974297602 0037740228
Log(MampR rentable sf) Average Apt Unit Size 00000594506 10000594524 001 0000353075 1429981472006 01683796031 08665225748
Log(MampR rentable sf) Age 0007624822 1007653965 077 00039990018 142990029884 19066812998 00585678315
Log(MampR rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00598131349 10616381449 616 00727173027 1406732379184 08225433659 04121598071
Log(Subtotal Maintenance rentable sf) Intercept -07997344997 04494482769 -5506 0489167182 1380935604874 -16348899298 01043496414
Log(Subtotal Maintenance rentable sf) Green Certified (1=yes 0=no)[Yes] 01180969773 11253532398 1254 00707986514 1348907221481 16680681771 00976219515
Log(Subtotal Maintenance rentable sf) Gym (1=yes 0=no)[Yes] 00409351965 10417845921 418 01148796072 1378640116803 03563312718 07221372278
Log(Subtotal Maintenance rentable sf) Pool (1=yes 0=no)[Yes] 01515780559 11636691295 1637 0100780712 617547240206 15040383505 01376688864
Log(Subtotal Maintenance rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -0078076377 09248937833 -751 01331885868 1426567369893 -05862092154 05586613077
Log(Subtotal Maintenance rentable sf) Walk Score 0011889233 10119601909 120 00032614069 1377504918879 36454307183 00003773801
Log(Subtotal Maintenance rentable sf) of Unfurnished Apartments -00008153416 09991849907 -008 00004682078 1398534995511 -17414095506 00838107083
Log(Subtotal Maintenance rentable sf) Average Apt Unit Size 00005083484 10005084776 005 00003930253 1428434249161 12934242295 01979520949
Log(Subtotal Maintenance rentable sf) Age 00104106727 10104650523 105 00044515054 1428449267664 23386858733 00207383998
Log(Subtotal Maintenance rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 02440298206 12763823925 2764 0081177414 1402563601749 30061295196 00031359748
Log(Property Insurance rentable sf) Intercept -08916874806 04099633635 -5900 04516384713 1429624291993 -19743390727 00502702101
Log(Property Insurance rentable sf) Green Certified (1=yes 0=no)[Yes] 01239058141 11319092561 1319 0062692592 1281678143933 19764027959 00502564371
Log(Property Insurance rentable sf) Gym (1=yes 0=no)[Yes] -0003522638 09964835593 -035 01024969537 1314939748594 -0034368221 09726356404
Log(Property Insurance rentable sf) Pool (1=yes 0=no)[Yes] 00227423743 10230029538 230 01040308572 1125700947624 02186118131 08273482928
Log(Property Insurance rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00155809876 10157030041 157 01206677853 1368483458399 01291230096 08974498986
Log(Property Insurance rentable sf) Walk Score 00072977866 10073244804 073 00030353828 1428602075435 24042392705 00174877086
Log(Property Insurance rentable sf) of Unfurnished Apartments -00010061941 09989943119 -010 0000420017 1337858380697 -23956034086 00179774093
Log(Property Insurance rentable sf) Average Apt Unit Size -00006330482 09993671521 -006 00003514502 1338864329416 -18012458048 0073914725
Log(Property Insurance rentable sf) Age 00009661099 10009665767 010 00039921418 1338497494964 02420028921 08091483095
Log(Property Insurance rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -00520208103 09493091112 -507 00749301111 1411273861679 -06942577501 04886618561
Log(Total All Expenses Rentable sf) Intercept 17410862845 57035357214 47035 03946731547 141889623796 44114636723 00000201648
Log(Total All Expenses Rentable sf) Green Certified (1=yes 0=no)[Yes] 01231722438 11310792255 1311 00565275641 1341244163534 21789766772 00310802733
Log(Total All Expenses Rentable sf) Gym (1=yes 0=no)[Yes] 00096244971 10096709615 097 00919378962 1370603130567 01046847658 09167789899
Log(Total All Expenses Rentable sf) Pool (1=yes 0=no)[Yes] 01610294116 11747195186 1747 00846545666 801516751987 19021940341 00607378863
Log(Total All Expenses Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00361842114 09644626121 -355 01071504659 1418739239709 -03376953252 07360919324
Log(Total All Expenses Rentable sf) Walk Score 00087371658 10087754463 088 00026426023 1411809488418 33062734678 00011989895
Log(Total All Expenses Rentable sf) of Unfurnished Apartments -00008720665 09991283137 -009 00003752966 1389800988186 -23236728617 00215934791
Log(Total All Expenses Rentable sf) Average Apt Unit Size -0000155413 0999844599 -002 00003145108 1409449329598 -0494142052 06219751067
Log(Total All Expenses Rentable sf) Age 00015666155 10015678433 016 00035695206 1412387206124 04388868073 06614142124
Log(Total All Expenses Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00157918953 10159172462 159 00657593447 1424551160559 02401467861 08105616925
Log(NOI Rentable sf) Intercept 27416093787 155119295878 145119 049686036 1426328429735 55178669889 0000000157
Log(NOI Rentable sf) Green Certified (1=yes 0=no)[Yes] 00932241108 10977077159 977 00701671113 1292740226257 13286012361 01863200879
Log(NOI Rentable sf) Gym (1=yes 0=no)[Yes] 0111280688 11177085902 1177 0114413579 13320261997 09726178396 03325061802
Log(NOI Rentable sf) Pool (1=yes 0=no)[Yes] -00608871507 0940929417 -591 01107002034 838263437204 -05500184174 05837693269
Log(NOI Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -01393113526 08699571229 -1300 01340931949 1397855428856 -10389144106 03006382455
Log(NOI Rentable sf) Walk Score 00045000262 10045101666 045 0003337636 1423581725818 13482675372 01797136327
Log(NOI Rentable sf) of Unfurnished Apartments -00007116645 09992885887 -007 00004679272 1358400867851 -15208872073 01306124688
Log(NOI Rentable sf) Average Apt Unit Size -00001937801 09998062387 -002 00003921685 1372175013367 -04941245389 06220083144
Log(NOI Rentable sf) Age 00034607088 1003466704 035 00044548378 1376438770548 07768428318 04385844885
Log(NOI Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00488697769 10500835966 501 00828565286 1429949688826 05898120243 0556247504
Concessions rentable sf Intercept 0091580439 10959049266 959 12772069558 1418541020247 00717036801 09429387231
Concessions rentable sf Green Certified (1=yes 0=no)[Yes] 01110697527 11174728508 1175 01814813765 1293641668833 06120173584 05416004511
Concessions rentable sf Gym (1=yes 0=no)[Yes] -05094051331 06008529 -3991 02955403985 1336296409402 -17236395961 00870857294
Concessions rentable sf Pool (1=yes 0=no)[Yes] -00886152984 09151975838 -848 02791864929 69298361986 -03174053928 07518903943
Concessions rentable sf Outdoor Common Area (1=yes 0=no)[Yes] 04576291372 15803228114 5803 03455726285 1408379747117 13242632646 01875606951
Concessions rentable sf Walk Score 00120688741 10121419968 121 00085630896 1409791646097 14094064916 01609170757
Concessions rentable sf of Unfurnished Apartments -00007045588 09992956894 -007 00012075862 1364744404696 -05834438741 05605574922
Concessions rentable sf Average Apt Unit Size -00003193903 09996806607 -003 00010135961 1389703034326 -03151061148 07531537379
Concessions rentable sf Age 00130223218 10131074815 131 00115086772 139464867267 11315220311 02597773256
Concessions rentable sf Building Mix (0=multifamily 1 = mixed-use)[Mixed] -03719888249 06893619462 -3106 02129597676 1426034459287 -17467563435 00828326573
Page 16: AUGUST 21- 23, 2018 • CLEVELAND, OHIO€¦ · Business Case 2.0: New Research Around High Performing Buildings Thursday 23 rd, 2018 10:30am – 12:00pm

Denver Office ndash energy price and default risk

16

Case Studies ndash summary of risks impacts

Building Source EUI variation ()

Default rate variation (bp)

Default rate variation relative to TREPP avg ()

Denver Office -54 to +132 -248 to +268 -31 to +34

Sonoma Office -40 to +183 -161 to +331 -20 to +41

San Jose Office -62 to +119 -308 to +249 -39 to +31

Denver Hotel -11 to +17 -37 to +49 -5 to +6

San Francisco Multi-family -20 to +26 -72 to +74 -9 to +9

Wholesale price region Default rate variation (bp) Default rate variation relative to TREPP avg ()

Denver area +159 to +501 +20 to +63

Northern California -49 to +705 -6 to +88

Compare to TREPP average default rate of 800bp

17

Case Studies ndash business impactThese results showing the impact of energy on default risk are clearly meaningful I dont currently consider energy efficiency when making a loan and seeing this makes me think I would want to ask about itrdquo

I would like to apply these findings but would want an easy way to use it A simple score or ratio for energy risk would be good In fact I would be interested to pilot test it

Keith Hanley Silicon Valley Bank

18

Looking Ahead

Looking Ahead ndash our visionTo have energy factors fully and routinely incorporated in commercial mortgage valuation accelerating demand for buildings with lower energy risk

20

Show that energy matters

Develop and pilot

interventions Disseminate

best practices Institutionalize

Analysis of energy impacts

Long term

Case studies on actual mortgage loans

Protocols and tools for lenders and owners

Industry Standards

Scope of current effort

RecommendationsLenders Ask owners to provide info on energy cost range

Account for variations in energy use and energy price Could be done as part of Property Condition Assessment Can reference ASTM standard

Incorporate energy risk factor into underwriting and terms eg Interest rate discount for lower risk

Offer additional loan proceeds for EE investments

Owners Ask lenders to account for energy efficiency when setting mortgage

terms Provide data on energy costs to lender

Historical and anticipated In appraisal andor PCA

21

Thank you

Money Matters Exploring the Financial Impacts of Green Certifications in the Multifamily Rental Sector

Erin A Hopkins PhD CAPS LEED Green AssociateAssistant Professor of Property Management

bull Sample 153 properties from 2 of National Multifamily Housing Councilrsquos 2016 50 Largest Apartment Managers

bull Green-certified 2288 of properties (35 properties)bull Methodology Multiple Regression Analysisbull Controls Location Fitness Center Pool Outdoor Common Area Walk

Score of Unfurnished Apartments Average Apartment Unit Size Age Building Mix

bull Limitations Building class not directly taken into account

Overview of Research

Certifications Represented in Sample

Austin Energy Green Buildingreg (AEGB)

Rating System(3)

ENERGY STARreg

(1)

Florida Green Building Coalition

(FGBC)(1)

GreenPoint Rated(4)

LEEDreg

(16)

National Green Building Standardtrade

(NGBS)(11)

Properties by City

2

4

2 2 21 1

3

1 1 12 2

1 1 1

6

1 1

8

11

4

6

14

3

1

19

3

1 1

7

43

2

9

18

2 2

0

2

4

6

8

10

12

14

16

18

20

Summary Statistics of City Datan=153

Summary Satistics of City Data Green Bldgs Summary Satistics of City Data Non-Green Comparables

Descriptive

97

71

100

31

89

69

93

24

0

20

40

60

80

100

120

Fitness Center Pool Outdoor Common Area Mixed-Use Property

Summary Statistics of Green vs Non-Green Propertiesn = 153

Green Non-Green

Descriptive

73228

866

2011

74

259

894

2003

0

500

1000

1500

2000

2500

Walk Score Average Number of Units Average Apt Unit Size (sf) Age

Summary Statistics of Green vs Non-Green Properties

n = 153

Green Non-Green

Findings

Total Rents Collected1047

Total Maintenance1254

Property Insurance1319

Total Expenses1311

Higher rents and expenses

Financial Impacts of Green

Dependent Variable Per Square Foot Per Apartment Per PropertyTotal Rents Collected 247$ 2189$ 551683$ Subtotal Maintenance 020$ 178$ 44843$ Property Insurance 005$ 42$ 10601$ Total Expenses 112$ 990$ 249535$

Coefficients Standard Errors

Tables

Summary of Green Impacts

Summary Table

Discussion

bull Assume efficient operations will offset the higher rent

bull Philanthropic motivesbull Prestige motivesbull Green buildings tend to be newermore

likely to offer the more sought-after amenities and finishes

bull Tend to be in higher-income areaslikely have higher rents

Different motivations for paying higher rent may be in

play

Discussion

Higher Operating Expenses a Surprise

Does not align with much of the existing researchhellipbut no research on effects of green certification on total operating expenses within multifamily rental sector

Many of the certifications represented in this study focus on the design phase of the property vs the operations and maintenance phase

And although promotion of sustainability is on the rise in the multifamily housing sector staff may remain unfamiliar with the unique operations and maintenance of green

buildings

Final Thoughts

Apartment homes represent $13 trillion to the US economy and 5 million new rental households are expected by 2023 (National Multifamily Housing Council 2015)

Upfront capital constraints regulatory issues knowledge limitations and marketing concerns may diminish the attractiveness of multifamily rental green building

certification if not properly managed

Most studies focus on office sector andor strictly rents or property value

This study begins to look at the multifamily rental sector and offer a more comprehensive analysis

Further research is needed with larger datasets to understand effects of green certification on income statement components in the apartment industry as NOI

ultimately determines property market valueOptimism that this study can be the impetus for further research contributions on the

financial environmental and resident satisfaction impacts of green practices and certifications on the multifamily rental sector

Contact informationErin A Hopkinserinz1vtedu

Acknowledgementsbull Todd Feist Sustainability Program Manager at The Institute of

Real Estate Management (IREMreg) for his assistance with this research project

bull Yardi and IREMreg for the grant awarded to support this researchbull The two property management companies for sharing their data

BUILDING PERFORMANCE

UNLOCKINGVALUE

New DOE-driven Research Around High Performing Buildings

AUGUST 23 2018

ANDREW WHITEASSOCIATE MANAGERawhiteretechadvisorscom

2015-2016 bull Research design working group pilot study data lab

2017 bull Connect to Real Estate Research Institute (RERI) Literature review and gap analysis

2018 bull Research agenda request for proposals research project selection and execution

Context Setting ndash DOE Research EffortWhat are the impacts of energy efficiency and high-performance building

features on financial performance of commercial real estate

RERIrsquos mission is to encourage and reward research on real estate as an investment and as an asset class that is both academically rigorous and of value to the institutional real estate investment profession In addition RERI serves to provide a forum through which the real estate academic professional and regulatory communities can interact facilitating the exchange of insights amongst these stakeholders

RERI Overview

Sponsors

Build upon DOErsquos Review of Studies in the Market

bull Focus explicitly on peer-reviewed papers Gap analysis of existing research to

identifybull Questions that have already been

sufficiently provenbull Holes in existing body of research

Academic Inputbull Guidance on which studies to includebull Suggestions for how to conduct analysis

Literature Review Objectives

Literature Review Results

LEED

ENER

GY

ST

AR

labe

l

ENER

GY

ST

AR

sc

ore

Ener

gy u

se

BR

EEA

M

Ener

gy

Perf

orm

anc

e Cer

tific

ates

(U

K)

BO

MA

B

EST

Wal

kabi

lity

Non

-ene

rgy

gree

n fe

atur

es

Oth

er

Rent 20 18 1 2 2 2 1 1 1Rent concessions 1 1 1Sales price 9 11 1 1 1 1Assessed value 2 2Market value 1 2 1 2 1Occupancy 10 9 1Lease renewals 1 1 1Service charge 1Operating cost 2 3Energy cost 2 3Tenant satisfaction 1 1 1Sales time 1 1Default rate 2 1Capitalization rate 1 2 2 1Net operating income 1 1 1Loan to value ratio 1 1Debt service coverage ratio 1 1Worker productivity 1 1Other 5 4 1 4 2 2

There is considerable evidence that green building certifications correlate with increased economic value primarily via higher rents and sales prices

bull How do we move beyond certification to analyze performancebull Correlation vs Causation

bull What is driving added value Is it green features and efficiency the green labels themselves or other desirable features often included in certified buildings

Panel studies could help reduce some of the uncertainty and noise Full results presented at ACEEE Summer Study

bull Raising the Rent Premium Moving Green Building Research Beyond Certifications and Rent

bull Cindy Zhu Andrew White Paul Mathew Jeff Deason Philip Coleman

Literature Review Results

Research Agenda Core QuestionldquoHow does ltenergygreen metricgt affect ltfinancial value metricgtrdquo

EnergyGreen Metric

Site energy use or EUI

Source energy use or EUI

Energy cost or costsf

ENERGY STAR score

ENERGY STAR label

Green Building Certification (LEED BOMA 360)

Green Building Certification level (eg LEED Silver Gold)

Financial Value Metric

VacancyOccupancy Sales Price

Leasing Velocity (absorption speed of sales leasing)

Regulatory amp Compliance Risk

Tenant Renewals Insurance (rates ability)

Tenant Satisfaction Default Risk

Rental Income and Rent Concessions Debt Service Coverage Ratio

Marketing Costs Access to Funding

Utility Costs Maintenance OpEx Interest Rates

Obsolescence Reserves

Capitalization Rates

12 proposals received 5 projects selected Criteria

bull Department of Energy goals

bull Impact on Commercial Real Estate (CRE) Industry

bull Feasibility and Interest

bull Quality and Validity

Proposal Reviews

Jim Clayton Avis Devine (York University) and Rogier Holtermans(University of Guelph) Analyzing four types of energy

efficiency interventions on financial components that impact property-level NOI

bull How do interventions impact different aspects of building operations and their subsequent financial impact

Beyond Environmental Building Certification The Impact of Environmental Interventions on Commercial Real Estate Operations

Piet Eichholtz and Nils Kok (Maastricht University) and RogierHoltermans (University of Guelph) Three key questions

bull How is environmental building certification related to commercial building energy consumption

bull How does aging affect the energy consumption of the commercial building stock

bull To what extent do specific energy efficiency investments affect energy consumption in commercial real estate

The Dynamics of Energy Consumption in Commercial Real Estate

Sofia Dermisi Chris Lee and YoungjinChoe (University of Washington) Exploring the effect of disclosure

policies on office building marketability while assessing potential links between market performance of sustainable assets

bull Before and after the disclosure policies while considering market cycles

bull Before and after ENERGY STAR andor LEED certification

Markets included San Francisco Washington DC

Effect of Energy Benchmarking and Disclosure on Office Building Marketability

Dirk Brounen (Tilburg University) and Gianluca Marcato (Reading University) Analyzing the adoption of GRESB within the public real estate markets and

predicting a potential impact of GRESB scores on REIT returns

Sustainable Insights and Public Real Estate Performance GRESB Effects in REIT Markets

Constantine Kontokosta (New York University) Franz Fuerst(Cambridge University) Gary Pivo (University of Arizona) amp Jacob Sagi (UNC Chapel Hill) Utilizing NYC data to empirically model

bull the spread between the premium for labeled (energy efficient) buildings and the cost to retrofit an under-performing building to meet the same standard which will allow us to understand how much of the observed premium is attributable to energy efficiency and how much can be assigned to other perceived benefits (marketing construction quality etc)

bull the hurdle rate for energy retrofit investments using actual audit data and permitted renovation work

Estimating Office and Residential Building Energy Retrofit Hurdle Rates and Risk Arbitrage in Energy Efficiency Investments

Collecting data for continued Data Lab analysis Presenting Research findings

bull Interim research results ndash IPC Research Symposium (October)bull Greenbuild Session (November)bull RERI Research Conference (April)bull Final research results ndash Better Buildings Webinars Summit 2019 (TBA)

Work with DOE case study and data analysis opportunities abound

Next Steps

Paul Mathew

Lawrence Berkeley National Laboratorypamathewlblgov

Paulo Issler

University of California Berkeleypauloisslerberkeleyedu

Erin Hopkins

Virginia Techerinz1vtedu

Andrew White

RE Tech Advisorsawhiteretechadvisorscom

Contact Info

  • Slide Number 1
  • Business Case 20 New Research Around High Performing Buildings
  • Panelists
  • Energy and Default Risk in Commercial Mortgages
  • Paulo Issler
  • Acknowledgements
  • The link between energy and CRE mortgages
  • Approach Impact of energy on default rate
  • Default risk and source EUI (cont)
  • Default risk and source EUI
  • Default risk and source EUI (cont)
  • Default risk and source EUI (cont)
  • What are the impacts on specific loans
  • Case Studies
  • Denver Office ndash energy use and default risk
  • Denver Office ndash energy price and default risk
  • Case Studies ndash summary of risks impacts
  • Case Studies ndash business impact
  • Looking Ahead
  • Looking Ahead ndash our vision
  • Recommendations
  • Slide Number 22
  • Money Matters Exploring the Financial Impacts of Green Certifications in the Multifamily Rental SectorErin A Hopkins PhD CAPS LEED Green AssociateAssistant Professor of Property Management
  • Overview of Research
  • Certifications Represented in Sample
  • Properties by City
  • Descriptive
  • Descriptive
  • Findings
  • Financial Impacts of Green
  • Discussion
  • Discussion
  • Final Thoughts
  • Slide Number 34
  • Slide Number 35
  • Context Setting ndash DOE Research Effort
  • RERI Overview
  • Literature Review Objectives
  • Literature Review Results
  • Literature Review Results
  • Research Agenda Core Question
  • Proposal Reviews
  • Beyond Environmental Building Certification The Impact of Environmental Interventions on Commercial Real Estate Operations
  • The Dynamics of Energy Consumption in Commercial Real Estate
  • Effect of Energy Benchmarking and Disclosure on Office Building Marketability
  • Sustainable Insights and Public Real Estate Performance GRESB Effects in REIT Markets
  • Estimating Office and Residential Building Energy Retrofit Hurdle Rates and Risk Arbitrage in Energy Efficiency Investments
  • Next Steps
  • Contact Info
Y Term ~Bias Estimate EXP estimate Practical Interpretation increasedecrease Std Error DFDen t Ratio Probgt|t| Log(Vacancies amp Rent Loss rentable sf) Log(Total Rents Collected rentable sf) Log(Total Actual Collections rentable sf) Log(Management Fee rentable sf) Log(Total Utilities Rentable sf) Log(MampR rentable sf) Log(Subtotal Maintenance rentable sf) Log(Property Insurance rentable sf) Log(Total All Expenses Rentable sf) Log(NOI Rentable sf) Concessions rentable sf
Log(Vacancies amp Rent Loss rentable sf) Intercept 00893029328 10934118365 934 06116337119 1083785495375 01460072116 08841869197 Green Certified (1=yes 0=no)[Yes] -00318 01047 00991
Log(Vacancies amp Rent Loss rentable sf) Green Certified (1=yes 0=no)[Yes] -0031825668 09686754385 -313 009164153 139931853592 -03472843369 07288994904 Gym (1=yes 0=no)[Yes] 01060 00708 00767
Log(Vacancies amp Rent Loss rentable sf) Gym (1=yes 0=no)[Yes] 01007730854 11060256399 1060 01479591517 1412043780621 0681087207 0496931725 Pool (1=yes 0=no)[Yes] 01126 00089 00131
Log(Vacancies amp Rent Loss rentable sf) Pool (1=yes 0=no)[Yes] 01125884395 11191712315 1192 0113345701 506840641957 09933190097 032527325 Outdoor Common Area (1=yes 0=no)[Yes] 02673 -00803 -00764
Log(Vacancies amp Rent Loss rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 02672618233 13063824429 3064 01690835398 1429144230275 15806495624 01161688791 Walk Score 00102 00065 00066
Log(Vacancies amp Rent Loss rentable sf) Walk Score 00101642302 10102160615 102 00040763935 1219632686439 24934369735 00139912712 of Unfurnished Apartments -00003 -00009 -00008
Log(Vacancies amp Rent Loss rentable sf) of Unfurnished Apartments -0000250981 09997490505 -003 00006011213 142449410245 -04175214322 06769256723 Average Apt Unit Size -00003 -00002 -00002
Log(Vacancies amp Rent Loss rentable sf) Average Apt Unit Size -00002575258 09997425074 -003 00004990119 1315989429881 -05160713681 06066705884 Age -00026 00008 00015
Log(Vacancies amp Rent Loss rentable sf) Age -00026152008 09973882158 -026 00056263988 1391583522195 -04648090107 06427946925 Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00099 00043 00252
Log(Vacancies amp Rent Loss rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00099001013 10099492694 099 0100821633 1384002310718 00981942166 09219201454
Log(Total Rents Collected rentable sf) Intercept 30195696974 204824761253 194825 04164909532 1420770663705 72500246992 0
Log(Total Rents Collected rentable sf) Green Certified (1=yes 0=no)[Yes] 00996165255 11047471944 1047
Hopkins Erin Hopkins Erincant provide a confidencd interval for it
00590542761 1286416575023 16868638818 0094053065
Log(Total Rents Collected rentable sf) Gym (1=yes 0=no)[Yes] 00684081888 10708023088 708 0096210834 1330244953516 07110237581 04783143732
Log(Total Rents Collected rentable sf) Pool (1=yes 0=no)[Yes] 00088712036 10089106694 089 00916333982 708572236354 00968119025 09231490817
Log(Total Rents Collected rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00836597449 09197441505 -803 01126005752 1404546011941 -07429779537 04587359136
Log(Total Rents Collected rentable sf) Walk Score 0006479206 10065002414 065 0002794287 1413201347208 23187331419 00218436949
Log(Total Rents Collected rentable sf) of Unfurnished Apartments -00008678845 0999132492 -009 00003932429 1359586026848 -22069932213 00289920945
Log(Total Rents Collected rentable sf) Average Apt Unit Size -00002078918 09997921298 -002 00003300088 1382568544162 -06299582685 05297616269
Log(Total Rents Collected rentable sf) Age 00008364704 10008368204 008 00037477419 1387794745176 02231931757 08237133506
Log(Total Rents Collected rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00042999624 10043092206 043 0069466499 142786243042 00618998008 09507291881
Log(Total Actual Collections rentable sf) Intercept 30681072891 215011686418 205012 04070110501 1415072794017 75381424868 0
Log(Total Actual Collections rentable sf) Green Certified (1=yes 0=no)[Yes] 00944491888 10990533175 991 00578900924 1291837028308 16315259643 01052148631
Log(Total Actual Collections rentable sf) Gym (1=yes 0=no)[Yes] 00739127176 10767128233 767 0094247393 1335821297113 07842415071 04342868782
Log(Total Actual Collections rentable sf) Pool (1=yes 0=no)[Yes] 00130418887 10131273051 131 00885804441 654593026021 01472321442 08834013324
Log(Total Actual Collections rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00794248992 0923647384 -764 01101507414 1410305976559 -07210564195 04720684016
Log(Total Actual Collections rentable sf) Walk Score 00065530115 10065745295 066 00027272037 14047408887 24028316857 00175745575
Log(Total Actual Collections rentable sf) of Unfurnished Apartments -0000833078 09991672689 -008 00003850262 1365168778586 -21636916411 00322285543
Log(Total Actual Collections rentable sf) Average Apt Unit Size -00002169447 09997830788 -002 00003233576 1393662972101 -06709126047 05033865944
Log(Total Actual Collections rentable sf) Age 00015178151 10015189676 015 0003670824 1398532082324 04134807595 06798877496
Log(Total Actual Collections rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00249154485 10252284322 252 0067842812 1423468871242 03672525904 07139760316
Log(Management Fee rentable sf) Intercept -02128803278 08082528568 -1917 04254329778 585619088893 -0500385111 06186792644
Log(Management Fee rentable sf) Green Certified (1=yes 0=no)[Yes] 0019865513 10200641454 201 00593086525 1354977267554 03349513461 07381797603
Log(Management Fee rentable sf) Gym (1=yes 0=no)[Yes] -00082052627 09918283086 -082 00958032958 1386068833723 -00856469772 09318706455
Log(Management Fee rentable sf) Pool (1=yes 0=no)[Yes] 00174275629 10175803089 176 00771880661 202180965349 02257805358 08236388274
Log(Management Fee rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00153191452 10154370848 154 01103651216 1423896402644 01388042255 08898009734
Log(Management Fee rentable sf) Walk Score 00070459229 10070708039 071 00028008303 805559990921 25156550566 0013868745
Log(Management Fee rentable sf) of Unfurnished Apartments -0001358177 09986427449 -014 00003916726 1421224837061 -34676335479 00006950146
Log(Management Fee rentable sf) Average Apt Unit Size -00005130214 09994871101 -005 00003375961 1007585612206 -15196307445 0131735624
Log(Management Fee rentable sf) Age 00013613923 10013623194 014 00037151697 1277713043957 03664414822 07146417588
Log(Management Fee rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -00674463479 09347778721 -652 00657081953 1299283630266 -10264525997 03065854809
Log(Total Utilities Rentable sf) Intercept -03748562337 06873880949 -3126 04464274077 1402143832266 -08396801522 04025171642
Log(Total Utilities Rentable sf) Green Certified (1=yes 0=no)[Yes] 00873163337 10912418217 912 0064576715 1358457024729 13521334071 01785794114
Log(Total Utilities Rentable sf) Gym (1=yes 0=no)[Yes] 01175979311 11247917766 1248 01048349264 1384172144229 11217438221 02639135776
Log(Total Utilities Rentable sf) Pool (1=yes 0=no)[Yes] 00115680134 10116351816 116 00928512423 72633370166 01245865221 09011950626
Log(Total Utilities Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00222539972 10225034645 225 01216524447 1425571484619 01829309493 0855112103
Log(Total Utilities Rentable sf) Walk Score 00068649233 10068885409 069 00029812807 1396033046894 23026759291 00227754146
Log(Total Utilities Rentable sf) of Unfurnished Apartments -00006773222 09993229071 -007 00004273761 1401067188346 -15848386198 01152575495
Log(Total Utilities Rentable sf) Average Apt Unit Size -00003442022 0999655857 -003 00003581401 1425120147852 -09610825805 03381384619
Log(Total Utilities Rentable sf) Age 00048795122 10048914364 049 00040600929 1425855030198 12018227897 02314244716
Log(Total Utilities Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -01198355423 08870663096 -1129 00742421382 1413320388001 -16141176043 01087323819
Log(MampR rentable sf) Intercept -09030689887 04053238148 -5947 0437858541 1384008312652 -20624674504 00410332652
Log(MampR rentable sf) Green Certified (1=yes 0=no)[Yes] 00937424436 10982768413 983 00639155521 1376081716673 14666609392 01447499128
Log(MampR rentable sf) Gym (1=yes 0=no)[Yes] 00037664885 10037735907 038 01036113865 1396450691334 00363520715 09710535435
Log(MampR rentable sf) Pool (1=yes 0=no)[Yes] 01319613595 11410642271 1411 00887446725 719561267791 14869778183 0141389644
Log(MampR rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00521515872 09491849716 -508 01197720975 1428478988157 -04354235112 06639122497
Log(MampR rentable sf) Walk Score 00110131704 10110740386 111 00029197236 1385662208531 37719907631 00002391344
Log(MampR rentable sf) of Unfurnished Apartments -00008849955 09991153959 -009 00004219429 1410140957414 -20974297602 0037740228
Log(MampR rentable sf) Average Apt Unit Size 00000594506 10000594524 001 0000353075 1429981472006 01683796031 08665225748
Log(MampR rentable sf) Age 0007624822 1007653965 077 00039990018 142990029884 19066812998 00585678315
Log(MampR rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00598131349 10616381449 616 00727173027 1406732379184 08225433659 04121598071
Log(Subtotal Maintenance rentable sf) Intercept -07997344997 04494482769 -5506 0489167182 1380935604874 -16348899298 01043496414
Log(Subtotal Maintenance rentable sf) Green Certified (1=yes 0=no)[Yes] 01180969773 11253532398 1254 00707986514 1348907221481 16680681771 00976219515
Log(Subtotal Maintenance rentable sf) Gym (1=yes 0=no)[Yes] 00409351965 10417845921 418 01148796072 1378640116803 03563312718 07221372278
Log(Subtotal Maintenance rentable sf) Pool (1=yes 0=no)[Yes] 01515780559 11636691295 1637 0100780712 617547240206 15040383505 01376688864
Log(Subtotal Maintenance rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -0078076377 09248937833 -751 01331885868 1426567369893 -05862092154 05586613077
Log(Subtotal Maintenance rentable sf) Walk Score 0011889233 10119601909 120 00032614069 1377504918879 36454307183 00003773801
Log(Subtotal Maintenance rentable sf) of Unfurnished Apartments -00008153416 09991849907 -008 00004682078 1398534995511 -17414095506 00838107083
Log(Subtotal Maintenance rentable sf) Average Apt Unit Size 00005083484 10005084776 005 00003930253 1428434249161 12934242295 01979520949
Log(Subtotal Maintenance rentable sf) Age 00104106727 10104650523 105 00044515054 1428449267664 23386858733 00207383998
Log(Subtotal Maintenance rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 02440298206 12763823925 2764 0081177414 1402563601749 30061295196 00031359748
Log(Property Insurance rentable sf) Intercept -08916874806 04099633635 -5900 04516384713 1429624291993 -19743390727 00502702101
Log(Property Insurance rentable sf) Green Certified (1=yes 0=no)[Yes] 01239058141 11319092561 1319 0062692592 1281678143933 19764027959 00502564371
Log(Property Insurance rentable sf) Gym (1=yes 0=no)[Yes] -0003522638 09964835593 -035 01024969537 1314939748594 -0034368221 09726356404
Log(Property Insurance rentable sf) Pool (1=yes 0=no)[Yes] 00227423743 10230029538 230 01040308572 1125700947624 02186118131 08273482928
Log(Property Insurance rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00155809876 10157030041 157 01206677853 1368483458399 01291230096 08974498986
Log(Property Insurance rentable sf) Walk Score 00072977866 10073244804 073 00030353828 1428602075435 24042392705 00174877086
Log(Property Insurance rentable sf) of Unfurnished Apartments -00010061941 09989943119 -010 0000420017 1337858380697 -23956034086 00179774093
Log(Property Insurance rentable sf) Average Apt Unit Size -00006330482 09993671521 -006 00003514502 1338864329416 -18012458048 0073914725
Log(Property Insurance rentable sf) Age 00009661099 10009665767 010 00039921418 1338497494964 02420028921 08091483095
Log(Property Insurance rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -00520208103 09493091112 -507 00749301111 1411273861679 -06942577501 04886618561
Log(Total All Expenses Rentable sf) Intercept 17410862845 57035357214 47035 03946731547 141889623796 44114636723 00000201648
Log(Total All Expenses Rentable sf) Green Certified (1=yes 0=no)[Yes] 01231722438 11310792255 1311 00565275641 1341244163534 21789766772 00310802733
Log(Total All Expenses Rentable sf) Gym (1=yes 0=no)[Yes] 00096244971 10096709615 097 00919378962 1370603130567 01046847658 09167789899
Log(Total All Expenses Rentable sf) Pool (1=yes 0=no)[Yes] 01610294116 11747195186 1747 00846545666 801516751987 19021940341 00607378863
Log(Total All Expenses Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00361842114 09644626121 -355 01071504659 1418739239709 -03376953252 07360919324
Log(Total All Expenses Rentable sf) Walk Score 00087371658 10087754463 088 00026426023 1411809488418 33062734678 00011989895
Log(Total All Expenses Rentable sf) of Unfurnished Apartments -00008720665 09991283137 -009 00003752966 1389800988186 -23236728617 00215934791
Log(Total All Expenses Rentable sf) Average Apt Unit Size -0000155413 0999844599 -002 00003145108 1409449329598 -0494142052 06219751067
Log(Total All Expenses Rentable sf) Age 00015666155 10015678433 016 00035695206 1412387206124 04388868073 06614142124
Log(Total All Expenses Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00157918953 10159172462 159 00657593447 1424551160559 02401467861 08105616925
Log(NOI Rentable sf) Intercept 27416093787 155119295878 145119 049686036 1426328429735 55178669889 0000000157
Log(NOI Rentable sf) Green Certified (1=yes 0=no)[Yes] 00932241108 10977077159 977 00701671113 1292740226257 13286012361 01863200879
Log(NOI Rentable sf) Gym (1=yes 0=no)[Yes] 0111280688 11177085902 1177 0114413579 13320261997 09726178396 03325061802
Log(NOI Rentable sf) Pool (1=yes 0=no)[Yes] -00608871507 0940929417 -591 01107002034 838263437204 -05500184174 05837693269
Log(NOI Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -01393113526 08699571229 -1300 01340931949 1397855428856 -10389144106 03006382455
Log(NOI Rentable sf) Walk Score 00045000262 10045101666 045 0003337636 1423581725818 13482675372 01797136327
Log(NOI Rentable sf) of Unfurnished Apartments -00007116645 09992885887 -007 00004679272 1358400867851 -15208872073 01306124688
Log(NOI Rentable sf) Average Apt Unit Size -00001937801 09998062387 -002 00003921685 1372175013367 -04941245389 06220083144
Log(NOI Rentable sf) Age 00034607088 1003466704 035 00044548378 1376438770548 07768428318 04385844885
Log(NOI Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00488697769 10500835966 501 00828565286 1429949688826 05898120243 0556247504
Concessions rentable sf Intercept 0091580439 10959049266 959 12772069558 1418541020247 00717036801 09429387231
Concessions rentable sf Green Certified (1=yes 0=no)[Yes] 01110697527 11174728508 1175 01814813765 1293641668833 06120173584 05416004511
Concessions rentable sf Gym (1=yes 0=no)[Yes] -05094051331 06008529 -3991 02955403985 1336296409402 -17236395961 00870857294
Concessions rentable sf Pool (1=yes 0=no)[Yes] -00886152984 09151975838 -848 02791864929 69298361986 -03174053928 07518903943
Concessions rentable sf Outdoor Common Area (1=yes 0=no)[Yes] 04576291372 15803228114 5803 03455726285 1408379747117 13242632646 01875606951
Concessions rentable sf Walk Score 00120688741 10121419968 121 00085630896 1409791646097 14094064916 01609170757
Concessions rentable sf of Unfurnished Apartments -00007045588 09992956894 -007 00012075862 1364744404696 -05834438741 05605574922
Concessions rentable sf Average Apt Unit Size -00003193903 09996806607 -003 00010135961 1389703034326 -03151061148 07531537379
Concessions rentable sf Age 00130223218 10131074815 131 00115086772 139464867267 11315220311 02597773256
Concessions rentable sf Building Mix (0=multifamily 1 = mixed-use)[Mixed] -03719888249 06893619462 -3106 02129597676 1426034459287 -17467563435 00828326573
Y Term Practical Interpretation increasedecrease Probgt|t| Total Rents Collected Subtotal Maintenance Property Insurance Total Expenses
Log(Total Rents Collected rentable sf) Green Certified (1=yes 0=no)[Yes] 1047
Hopkins Erin Hopkins Erincant provide a confidencd interval for it
009 130837635934 13311489362 01847683215 67633617021
Log(Subtotal Maintenance rentable sf) Green Certified (1=yes 0=no)[Yes] 1254 010 267662568114 08839769656 0489370035 133484365708
Log(Property Insurance rentable sf) Green Certified (1=yes 0=no)[Yes] 1319 005 44887430941 07758149459 02417429373 41261056301
Log(Total All Expenses Rentable sf) Green Certified (1=yes 0=no)[Yes] 1311 003 103066299601 12390720963 00474343371 5067818194
206907297628 2385711159 02072356932 9194606526
318766961061 22633758919 04452208547 128154919371
92461669878 09545425866 01280485733 38832017239
143925847783 15966970999 02187893202 54018796992
176714125561 02006495648 02876780533 58992020575
232897515382 0726170332 00787094673 69517596041
Non-green sf average Financial Green Impact sf Financial green impact differencesf Green impactapt Green impactproperty 51780910259 05203453537 00494304264 22609306646
178353784788 17547710996 02048626598 95961490345
Total Rents Collected sf 1047 2356 2603 $ 247 $ 2189 $ 551683 113769814112 12206875575 03432049607 118156743193
Subtotal Maintenance sf 1254 160 180 $ 020 $ 178 $ 44843 301239240258 10561596849 0204970258 110903994641
Property Insurance sf 1319 036 041 $ 005 $ 42 $ 10601 918584487 08376649832 00914663991 4146546939
Total Expenses sf 1311 852 963 $ 112 $ 990 $ 249535 265183769576 19294929362 03500602344 108447158033
226055903548 13557897255 03988791741 10971207244
334894587007 17970717884 05122599181 124640467569
5542518821 31394328066 04875650977 200668786372
112655732059 13445692884 02031297086 43995867235
129139526152 1168069688 00518980213 4651511283
Avg Apt Size Avg of Units 151098478261 13975 02004130435 51873478261
192155046737 21015937064 02616549091 8357602264
887 252 514840434082 52766375656 02375463267 174375582672
81421971535 06694487849 00899424521 2748686222
30246817244 21594341279 03308639536 97277207077
488523197409 27727612187 0646599696 130752346177
318750561687 38903340576 03852711795 142409683793
310384048163 43119745565 03335824966 138846874251
Green Certification Impacts 48578215663 0350218077 03095574205 23695139998
Dependent Variable Per Square Foot Per Apartment Per Property 192237574111 13374121765 02053242615 84027476689
Total Rents Collected $ 247 $ 2189 $ 551683 62979912788 05343191729 00816289996 45390243161
Subtotal Maintenance $ 020 $ 178 $ 44843 148378959661 14651715909 02004049722 80900580942
Property Insurance $ 005 $ 42 $ 10601 196798863889 11267176542 02499920663 90266351433
Total Expenses $ 112 $ 990 $ 249535 281508617823 09686995581 01118170881 119863342059
58584849751 0106864586 04187933949 44180073736
126756167712 1265684516 02796423029 87538414144
176550549412 24957340254 02343899179 88904473415
252421786235 28063734042 03142238564 133776179357
191875932907 13637043757 03440324697 987034902
159508092934 13109374847 02091697013 98967206196
342739845467 09614092295 03929892961 129755936769
192510355167 32804720611 01743191858 134560085596
257829360401 13666691797 01527100011 56329812754
358622391559 14251973427 03437553732 101098436889
217744157919 24046486586 01864745418 68711016642
222112557003 22022148788 07879755849 97807110765
202535763689 04548110217 10003436751 127886698915
155879815194 23816051158 04816227091 119033557201
11066078843 23413202706 06413902496 81812176347
151924709838 18873401649 05711000232 105403544539
163604010853 16052949068 02714509557 82030431823
133974400047 11018949984 03560839935 59096477943
133528448829 13647819036 02538331588 66159357367
187400008959 16889788117 030870974 115752907975
155246293804 18308314258 03852380906 116657595614
34082816218 05447090935 09838411173 13641308574
201220131342 11192465065 03188344246 93786154242
139108532616 13313944086 03887737775 69698295902
191656858207 15717927807 06002115982 119380046581
200921599083 12597596226 03267106334 82474085087
57536742874 00453219212 00300766262 10569757217
120548294116 11607892527 03275736725 74435143659
123188534664 1404028789 03510968138 78762080781
59543029729 0899713372 01652374748 28143456117
144215639215 19193238703 02899837711 67370054173
340046684831 19619729415 04325060698 120608464163
208244777176 28183367899 037 73104355304
234349752613 19432301154 0351134881 107484594815
136370903402 17029933791 01989576534 50899930579
149968383478 14209793679 02735642323 63813718869
81145819519 0920766851 00474564037 30674168785
226307446224 12529424404 02036192613 69235920453
132787305462 08047482453 01232346659 41808605432
251519090044 21798380428 0376480317 80396623551
492269138212 12196979039 02981674812 128316943664
107177195916 08016374211 0113808252 40618650625
128238528886 10751217142 01843492552 6476830365
57582611557 11908427448 0874334536 134004066235
43835651097 34822540694 03904989384 146763800425
205787355386 1429219053 02624404931 5321754079
463148430769 07709353846 06150738462 101617384615
377949548611 28670972222 08296944444 109743576389
360087564176 03501711352 18551055334 110041072447
18371979614 18232783153 07267294459 61184870906
678035276363 13443501226 10431616676 167533484248
56073359244 10138647576 01591318768 51440832304
189431314891 05101557395 03677787459 41010945328
383550342095 23244425576 04086557393 98151764619
115544349685 03310482653 037 40344851625
7552318246 0955023726 01241945851 24368780848
133083101881 19451300341 00938801919 48731378614
122308363087 13760780005 01439989014 45100624828
84908269322 10857071617 01155797799 36082570734
263116048067 10733627163 041902582 60372732395
76183752731 09621126305 01069925907 26170373239
172494454001 11781600332 03919686814 59016193131
342076422068 22741368431 03165622465 73557085549
215534567901 1485497076 02210396361 49118778428
314593058927 23798916958 02751353803 121998559501
586535191691 21029046354 02109026171 91979074439
138093310078 14595490221 02142269839 44286283792
227203645682 04584630891 05737147639 93344680527
572754455737 17713614269 01642228739 92545561671
60603870458 04541110154 01180884676 15902125521
358781017266 33847643857 06854022643 139200146946
342079216629 24477703832 0463059603 67166143833
651201231187 51019950176 12529595849 222094150831
369798669702 21700816928 0444474205 101410502507
421838575952 28823013788 05443272608 151399739597
626095189209 20826275416 04947814184 184651096472
214882899762 25034709712 06359683889 109534721722
274037120739 26718517094 037 67504928595
252667703737 25588590114 05379535858 109041874345
59253832495 01099622961 04620367393 19262874847
150862851538 18053109961 07398729558 71488607075
111196959019 00928417366 037 09427894164
667360269858 07921160191 02989609494 104670639024
2356 160 036 852
Log(Vacancies amp Rent Loss rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified -00318 00916 -00313 07289
Fitness Center 01008 01480 01060 04969
Pool 01126 01133 01192 03253
Outdoor Common Area 02673 01691 03064 01162
Walk Score 00102 00041 00102 00140
of Unfurnished Apartments -00003 00006 -00003 06769
Average Apt Unit Size -00003 00005 -00003 06067
Age -00026 00056 -00026 06428
Building Mix 00099 01008 00099 09219
Note R2 = 645
Log(Total Rents Collected rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00996 00591 01047 00941
Fitness Center 00684 00962 00708 04783
Pool 00089 00916 00089 09231
Outdoor Common Area -00837 01126 -00803 04587
Walk Score 00065 00028 00065 00218
of Unfurnished Apartments -00009 00004 -00009 00290
Average Apt Unit Size -00002 00003 -00002 05298
Age 00008 00037 00008 08237
Building Mix 00043 00695 00043 09507
Note R2 = 3318
Log(Total Actual Collections rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00944 00579 00991 01052
Fitness Center 00739 00942 00767 04343
Pool 00130 00886 00131 08834
Outdoor Common Area -00794 01102 -00764 04721
Walk Score 00066 00027 00066 00176
of Unfurnished Apartments -00008 00004 -00008 00322
Average Apt Unit Size -00002 00003 -00002 05034
Age 00015 00037 00015 06799
Building Mix 00249 00678 00252 07140
Note R2 = 3219
Log(Management Fee rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00199 00593 00201 07382
Fitness Center -00082 00958 -00082 09319
Pool 00174 00772 00176 08236
Outdoor Common Area 00153 01104 00154 08898
Walk Score 00070 00028 00071 00139
of Unfurnished Apartments -00014 00004 -00014 00007
Average Apt Unit Size -00005 00003 -00005 01317
Age 00014 00037 00014 07146
Building Mix -00674 00657 -00652 03066
Note R2 = 1697
Log(Total Utilities Rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00873 00646 00912 01786
Fitness Center 01176 01048 01248 02639
Pool 00116 00929 00116 09012
Outdoor Common Area 00223 01217 00225 08551
Walk Score 00069 00030 00069 00228
of Unfurnished Apartments -00007 00004 -00007 01153
Average Apt Unit Size -00003 00004 -00003 03381
Age 00049 00041 00049 02314
Building Mix -01198 00742 -01129 01087
Note R2 = 2171
Log(MampR rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00937 00639 00983 01447
Fitness Center 00038 01036 00038 09711
Pool 01320 00887 01411 01414
Outdoor Common Area -00522 01198 -00508 06639
Walk Score 00110 00029 00111 00002
of Unfurnished Apartments -00009 00004 -00009 00377
Average Apt Unit Size 00001 00004 00001 08665
Age 00076 00040 00077 00586
Building Mix 00598 00727 00616 04122
Note R2 = 2620
Log(Subtotal Maintenance rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 01181 00708 01254 00976
Fitness Center 00409 01149 00418 07221
Pool 01516 01008 01637 01377
Outdoor Common Area -00781 01332 -00751 05587
Walk Score 00119 00033 00120 00004
of Unfurnished Apartments -00008 00005 -00008 00838
Average Apt Unit Size 00005 00004 00005 01980
Age 00104 00045 00105 00207
Building Mix 02440 00812 02764 00031
Note R2 = 3218
Log(Property Insurance rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 01239 00627 01319 00503
Fitness Center -00035 01025 -00035 09726
Pool 00227 01040 00230 08273
Outdoor Common Area 00156 01207 00157 08974
Walk Score 00073 00030 00073 00175
of Unfurnished Apartments -00010 00004 -00010 00180
Average Apt Unit Size -00006 00004 -00006 00739
Age 00010 00040 00010 08091
Building Mix -00520 00749 -00507 04887
Note R2 = 3902
Log(Total All Expenses Rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 01232 00565 01311 00311
Fitness Center 00096 00919 00097 09168
Pool 01610 00847 01747 00607
Outdoor Common Area -00362 01072 -00355 07361
Walk Score 00087 00026 00088 00012
of Unfurnished Apartments -00009 00004 -00009 00216
Average Apt Unit Size -00002 00003 -00002 06220
Age 00016 00036 00016 06614
Building Mix 00158 00658 00159 08106
Note R2 = 2943
Log(NOI Rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00932 00702 00977 01863
Fitness Center 01113 01144 01177 03325
Pool -00609 01107 -00591 05838
Outdoor Common Area -01393 01341 -01300 03006
Walk Score 00045 00033 00045 01797
of Unfurnished Apartments -00007 00005 -00007 01306
Average Apt Unit Size -00002 00004 -00002 06220
Age 00035 00045 00035 04386
Building Mix 00489 00829 00501 05562
Note R2 = 3669
Concessions rentable sf
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 01111 01815 01175 05416
Fitness Center -05094 02955 -03991 00871
Pool -00886 02792 -00848 07519
Outdoor Common Area 04576 03456 05803 01876
Walk Score 00121 00086 00121 01609
of Unfurnished Apartments -00007 00012 -00007 05606
Average Apt Unit Size -00003 00010 -00003 07532
Age 00130 00115 00131 02598
Building Mix -03720 02130 -03106 00828
Note R2 = 2402
Y Term ~Bias Estimate EXP estimate Practical Interpretation increasedecrease Std Error DFDen t Ratio Probgt|t| Estimate Std Error Practical Interpretation Significance
Log(Vacancies amp Rent Loss rentable sf) Intercept 00893029328 10934118365 934 06116337119 1083785495375 01460072116 08841869197 Green Cert
Log(Vacancies amp Rent Loss rentable sf) Green Certified (1=yes 0=no)[Yes] -0031825668 09686754385 -313 009164153 139931853592 -03472843369 07288994904 Gym
Log(Vacancies amp Rent Loss rentable sf) Gym (1=yes 0=no)[Yes] 01007730854 11060256399 1060 01479591517 1412043780621 0681087207 0496931725
Log(Vacancies amp Rent Loss rentable sf) Pool (1=yes 0=no)[Yes] 01125884395 11191712315 1192 0113345701 506840641957 09933190097 032527325
Log(Vacancies amp Rent Loss rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 02672618233 13063824429 3064 01690835398 1429144230275 15806495624 01161688791
Log(Vacancies amp Rent Loss rentable sf) Walk Score 00101642302 10102160615 102 00040763935 1219632686439 24934369735 00139912712
Log(Vacancies amp Rent Loss rentable sf) of Unfurnished Apartments -0000250981 09997490505 -003 00006011213 142449410245 -04175214322 06769256723
Log(Vacancies amp Rent Loss rentable sf) Average Apt Unit Size -00002575258 09997425074 -003 00004990119 1315989429881 -05160713681 06066705884
Log(Vacancies amp Rent Loss rentable sf) Age -00026152008 09973882158 -026 00056263988 1391583522195 -04648090107 06427946925
Log(Vacancies amp Rent Loss rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00099001013 10099492694 099 0100821633 1384002310718 00981942166 09219201454
Log(Total Rents Collected rentable sf) Intercept 30195696974 204824761253 194825 04164909532 1420770663705 72500246992 0
Log(Total Rents Collected rentable sf) Green Certified (1=yes 0=no)[Yes] 00996165255 11047471944 1047
Hopkins Erin Hopkins Erincant provide a confidencd interval for it
00590542761 1286416575023 16868638818 0094053065 0099617 00590542761 1047
Log(Total Rents Collected rentable sf) Gym (1=yes 0=no)[Yes] 00684081888 10708023088 708 0096210834 1330244953516 07110237581 04783143732
Log(Total Rents Collected rentable sf) Pool (1=yes 0=no)[Yes] 00088712036 10089106694 089 00916333982 708572236354 00968119025 09231490817
Log(Total Rents Collected rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00836597449 09197441505 -803 01126005752 1404546011941 -07429779537 04587359136
Log(Total Rents Collected rentable sf) Walk Score 0006479206 10065002414 065 0002794287 1413201347208 23187331419 00218436949
Log(Total Rents Collected rentable sf) of Unfurnished Apartments -00008678845 0999132492 -009 00003932429 1359586026848 -22069932213 00289920945 variance components to talk about how much of the total error that is attribuatle to city
Log(Total Rents Collected rentable sf) Average Apt Unit Size -00002078918 09997921298 -002 00003300088 1382568544162 -06299582685 05297616269
Log(Total Rents Collected rentable sf) Age 00008364704 10008368204 008 00037477419 1387794745176 02231931757 08237133506
Log(Total Rents Collected rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00042999624 10043092206 043 0069466499 142786243042 00618998008 09507291881
Log(Total Actual Collections rentable sf) Intercept 30681072891 215011686418 205012 04070110501 1415072794017 75381424868 0
Log(Total Actual Collections rentable sf) Green Certified (1=yes 0=no)[Yes] 00944491888 10990533175 991 00578900924 1291837028308 16315259643 01052148631
Log(Total Actual Collections rentable sf) Gym (1=yes 0=no)[Yes] 00739127176 10767128233 767 0094247393 1335821297113 07842415071 04342868782
Log(Total Actual Collections rentable sf) Pool (1=yes 0=no)[Yes] 00130418887 10131273051 131 00885804441 654593026021 01472321442 08834013324
Log(Total Actual Collections rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00794248992 0923647384 -764 01101507414 1410305976559 -07210564195 04720684016
Log(Total Actual Collections rentable sf) Walk Score 00065530115 10065745295 066 00027272037 14047408887 24028316857 00175745575
Log(Total Actual Collections rentable sf) of Unfurnished Apartments -0000833078 09991672689 -008 00003850262 1365168778586 -21636916411 00322285543
Log(Total Actual Collections rentable sf) Average Apt Unit Size -00002169447 09997830788 -002 00003233576 1393662972101 -06709126047 05033865944
Log(Total Actual Collections rentable sf) Age 00015178151 10015189676 015 0003670824 1398532082324 04134807595 06798877496
Log(Total Actual Collections rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00249154485 10252284322 252 0067842812 1423468871242 03672525904 07139760316
Log(Management Fee rentable sf) Intercept -02128803278 08082528568 -1917 04254329778 585619088893 -0500385111 06186792644
Log(Management Fee rentable sf) Green Certified (1=yes 0=no)[Yes] 0019865513 10200641454 201 00593086525 1354977267554 03349513461 07381797603
Log(Management Fee rentable sf) Gym (1=yes 0=no)[Yes] -00082052627 09918283086 -082 00958032958 1386068833723 -00856469772 09318706455
Log(Management Fee rentable sf) Pool (1=yes 0=no)[Yes] 00174275629 10175803089 176 00771880661 202180965349 02257805358 08236388274
Log(Management Fee rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00153191452 10154370848 154 01103651216 1423896402644 01388042255 08898009734
Log(Management Fee rentable sf) Walk Score 00070459229 10070708039 071 00028008303 805559990921 25156550566 0013868745
Log(Management Fee rentable sf) of Unfurnished Apartments -0001358177 09986427449 -014 00003916726 1421224837061 -34676335479 00006950146
Log(Management Fee rentable sf) Average Apt Unit Size -00005130214 09994871101 -005 00003375961 1007585612206 -15196307445 0131735624
Log(Management Fee rentable sf) Age 00013613923 10013623194 014 00037151697 1277713043957 03664414822 07146417588
Log(Management Fee rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -00674463479 09347778721 -652 00657081953 1299283630266 -10264525997 03065854809
Log(Total Utilities Rentable sf) Intercept -03748562337 06873880949 -3126 04464274077 1402143832266 -08396801522 04025171642
Log(Total Utilities Rentable sf) Green Certified (1=yes 0=no)[Yes] 00873163337 10912418217 912 0064576715 1358457024729 13521334071 01785794114
Log(Total Utilities Rentable sf) Gym (1=yes 0=no)[Yes] 01175979311 11247917766 1248 01048349264 1384172144229 11217438221 02639135776
Log(Total Utilities Rentable sf) Pool (1=yes 0=no)[Yes] 00115680134 10116351816 116 00928512423 72633370166 01245865221 09011950626
Log(Total Utilities Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00222539972 10225034645 225 01216524447 1425571484619 01829309493 0855112103
Log(Total Utilities Rentable sf) Walk Score 00068649233 10068885409 069 00029812807 1396033046894 23026759291 00227754146
Log(Total Utilities Rentable sf) of Unfurnished Apartments -00006773222 09993229071 -007 00004273761 1401067188346 -15848386198 01152575495
Log(Total Utilities Rentable sf) Average Apt Unit Size -00003442022 0999655857 -003 00003581401 1425120147852 -09610825805 03381384619
Log(Total Utilities Rentable sf) Age 00048795122 10048914364 049 00040600929 1425855030198 12018227897 02314244716
Log(Total Utilities Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -01198355423 08870663096 -1129 00742421382 1413320388001 -16141176043 01087323819
Log(MampR rentable sf) Intercept -09030689887 04053238148 -5947 0437858541 1384008312652 -20624674504 00410332652
Log(MampR rentable sf) Green Certified (1=yes 0=no)[Yes] 00937424436 10982768413 983 00639155521 1376081716673 14666609392 01447499128
Log(MampR rentable sf) Gym (1=yes 0=no)[Yes] 00037664885 10037735907 038 01036113865 1396450691334 00363520715 09710535435
Log(MampR rentable sf) Pool (1=yes 0=no)[Yes] 01319613595 11410642271 1411 00887446725 719561267791 14869778183 0141389644
Log(MampR rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00521515872 09491849716 -508 01197720975 1428478988157 -04354235112 06639122497
Log(MampR rentable sf) Walk Score 00110131704 10110740386 111 00029197236 1385662208531 37719907631 00002391344
Log(MampR rentable sf) of Unfurnished Apartments -00008849955 09991153959 -009 00004219429 1410140957414 -20974297602 0037740228
Log(MampR rentable sf) Average Apt Unit Size 00000594506 10000594524 001 0000353075 1429981472006 01683796031 08665225748
Log(MampR rentable sf) Age 0007624822 1007653965 077 00039990018 142990029884 19066812998 00585678315
Log(MampR rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00598131349 10616381449 616 00727173027 1406732379184 08225433659 04121598071
Log(Subtotal Maintenance rentable sf) Intercept -07997344997 04494482769 -5506 0489167182 1380935604874 -16348899298 01043496414
Log(Subtotal Maintenance rentable sf) Green Certified (1=yes 0=no)[Yes] 01180969773 11253532398 1254 00707986514 1348907221481 16680681771 00976219515
Log(Subtotal Maintenance rentable sf) Gym (1=yes 0=no)[Yes] 00409351965 10417845921 418 01148796072 1378640116803 03563312718 07221372278
Log(Subtotal Maintenance rentable sf) Pool (1=yes 0=no)[Yes] 01515780559 11636691295 1637 0100780712 617547240206 15040383505 01376688864
Log(Subtotal Maintenance rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -0078076377 09248937833 -751 01331885868 1426567369893 -05862092154 05586613077
Log(Subtotal Maintenance rentable sf) Walk Score 0011889233 10119601909 120 00032614069 1377504918879 36454307183 00003773801
Log(Subtotal Maintenance rentable sf) of Unfurnished Apartments -00008153416 09991849907 -008 00004682078 1398534995511 -17414095506 00838107083
Log(Subtotal Maintenance rentable sf) Average Apt Unit Size 00005083484 10005084776 005 00003930253 1428434249161 12934242295 01979520949
Log(Subtotal Maintenance rentable sf) Age 00104106727 10104650523 105 00044515054 1428449267664 23386858733 00207383998
Log(Subtotal Maintenance rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 02440298206 12763823925 2764 0081177414 1402563601749 30061295196 00031359748
Log(Property Insurance rentable sf) Intercept -08916874806 04099633635 -5900 04516384713 1429624291993 -19743390727 00502702101
Log(Property Insurance rentable sf) Green Certified (1=yes 0=no)[Yes] 01239058141 11319092561 1319 0062692592 1281678143933 19764027959 00502564371
Log(Property Insurance rentable sf) Gym (1=yes 0=no)[Yes] -0003522638 09964835593 -035 01024969537 1314939748594 -0034368221 09726356404
Log(Property Insurance rentable sf) Pool (1=yes 0=no)[Yes] 00227423743 10230029538 230 01040308572 1125700947624 02186118131 08273482928
Log(Property Insurance rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00155809876 10157030041 157 01206677853 1368483458399 01291230096 08974498986
Log(Property Insurance rentable sf) Walk Score 00072977866 10073244804 073 00030353828 1428602075435 24042392705 00174877086
Log(Property Insurance rentable sf) of Unfurnished Apartments -00010061941 09989943119 -010 0000420017 1337858380697 -23956034086 00179774093
Log(Property Insurance rentable sf) Average Apt Unit Size -00006330482 09993671521 -006 00003514502 1338864329416 -18012458048 0073914725
Log(Property Insurance rentable sf) Age 00009661099 10009665767 010 00039921418 1338497494964 02420028921 08091483095
Log(Property Insurance rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -00520208103 09493091112 -507 00749301111 1411273861679 -06942577501 04886618561
Log(Total All Expenses Rentable sf) Intercept 17410862845 57035357214 47035 03946731547 141889623796 44114636723 00000201648
Log(Total All Expenses Rentable sf) Green Certified (1=yes 0=no)[Yes] 01231722438 11310792255 1311 00565275641 1341244163534 21789766772 00310802733
Log(Total All Expenses Rentable sf) Gym (1=yes 0=no)[Yes] 00096244971 10096709615 097 00919378962 1370603130567 01046847658 09167789899
Log(Total All Expenses Rentable sf) Pool (1=yes 0=no)[Yes] 01610294116 11747195186 1747 00846545666 801516751987 19021940341 00607378863
Log(Total All Expenses Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00361842114 09644626121 -355 01071504659 1418739239709 -03376953252 07360919324
Log(Total All Expenses Rentable sf) Walk Score 00087371658 10087754463 088 00026426023 1411809488418 33062734678 00011989895
Log(Total All Expenses Rentable sf) of Unfurnished Apartments -00008720665 09991283137 -009 00003752966 1389800988186 -23236728617 00215934791
Log(Total All Expenses Rentable sf) Average Apt Unit Size -0000155413 0999844599 -002 00003145108 1409449329598 -0494142052 06219751067
Log(Total All Expenses Rentable sf) Age 00015666155 10015678433 016 00035695206 1412387206124 04388868073 06614142124
Log(Total All Expenses Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00157918953 10159172462 159 00657593447 1424551160559 02401467861 08105616925
Log(NOI Rentable sf) Intercept 27416093787 155119295878 145119 049686036 1426328429735 55178669889 0000000157
Log(NOI Rentable sf) Green Certified (1=yes 0=no)[Yes] 00932241108 10977077159 977 00701671113 1292740226257 13286012361 01863200879
Log(NOI Rentable sf) Gym (1=yes 0=no)[Yes] 0111280688 11177085902 1177 0114413579 13320261997 09726178396 03325061802
Log(NOI Rentable sf) Pool (1=yes 0=no)[Yes] -00608871507 0940929417 -591 01107002034 838263437204 -05500184174 05837693269
Log(NOI Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -01393113526 08699571229 -1300 01340931949 1397855428856 -10389144106 03006382455
Log(NOI Rentable sf) Walk Score 00045000262 10045101666 045 0003337636 1423581725818 13482675372 01797136327
Log(NOI Rentable sf) of Unfurnished Apartments -00007116645 09992885887 -007 00004679272 1358400867851 -15208872073 01306124688
Log(NOI Rentable sf) Average Apt Unit Size -00001937801 09998062387 -002 00003921685 1372175013367 -04941245389 06220083144
Log(NOI Rentable sf) Age 00034607088 1003466704 035 00044548378 1376438770548 07768428318 04385844885
Log(NOI Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00488697769 10500835966 501 00828565286 1429949688826 05898120243 0556247504
Concessions rentable sf Intercept 0091580439 10959049266 959 12772069558 1418541020247 00717036801 09429387231
Concessions rentable sf Green Certified (1=yes 0=no)[Yes] 01110697527 11174728508 1175 01814813765 1293641668833 06120173584 05416004511
Concessions rentable sf Gym (1=yes 0=no)[Yes] -05094051331 06008529 -3991 02955403985 1336296409402 -17236395961 00870857294
Concessions rentable sf Pool (1=yes 0=no)[Yes] -00886152984 09151975838 -848 02791864929 69298361986 -03174053928 07518903943
Concessions rentable sf Outdoor Common Area (1=yes 0=no)[Yes] 04576291372 15803228114 5803 03455726285 1408379747117 13242632646 01875606951
Concessions rentable sf Walk Score 00120688741 10121419968 121 00085630896 1409791646097 14094064916 01609170757
Concessions rentable sf of Unfurnished Apartments -00007045588 09992956894 -007 00012075862 1364744404696 -05834438741 05605574922
Concessions rentable sf Average Apt Unit Size -00003193903 09996806607 -003 00010135961 1389703034326 -03151061148 07531537379
Concessions rentable sf Age 00130223218 10131074815 131 00115086772 139464867267 11315220311 02597773256
Concessions rentable sf Building Mix (0=multifamily 1 = mixed-use)[Mixed] -03719888249 06893619462 -3106 02129597676 1426034459287 -17467563435 00828326573
Page 17: AUGUST 21- 23, 2018 • CLEVELAND, OHIO€¦ · Business Case 2.0: New Research Around High Performing Buildings Thursday 23 rd, 2018 10:30am – 12:00pm

Case Studies ndash summary of risks impacts

Building Source EUI variation ()

Default rate variation (bp)

Default rate variation relative to TREPP avg ()

Denver Office -54 to +132 -248 to +268 -31 to +34

Sonoma Office -40 to +183 -161 to +331 -20 to +41

San Jose Office -62 to +119 -308 to +249 -39 to +31

Denver Hotel -11 to +17 -37 to +49 -5 to +6

San Francisco Multi-family -20 to +26 -72 to +74 -9 to +9

Wholesale price region Default rate variation (bp) Default rate variation relative to TREPP avg ()

Denver area +159 to +501 +20 to +63

Northern California -49 to +705 -6 to +88

Compare to TREPP average default rate of 800bp

17

Case Studies ndash business impactThese results showing the impact of energy on default risk are clearly meaningful I dont currently consider energy efficiency when making a loan and seeing this makes me think I would want to ask about itrdquo

I would like to apply these findings but would want an easy way to use it A simple score or ratio for energy risk would be good In fact I would be interested to pilot test it

Keith Hanley Silicon Valley Bank

18

Looking Ahead

Looking Ahead ndash our visionTo have energy factors fully and routinely incorporated in commercial mortgage valuation accelerating demand for buildings with lower energy risk

20

Show that energy matters

Develop and pilot

interventions Disseminate

best practices Institutionalize

Analysis of energy impacts

Long term

Case studies on actual mortgage loans

Protocols and tools for lenders and owners

Industry Standards

Scope of current effort

RecommendationsLenders Ask owners to provide info on energy cost range

Account for variations in energy use and energy price Could be done as part of Property Condition Assessment Can reference ASTM standard

Incorporate energy risk factor into underwriting and terms eg Interest rate discount for lower risk

Offer additional loan proceeds for EE investments

Owners Ask lenders to account for energy efficiency when setting mortgage

terms Provide data on energy costs to lender

Historical and anticipated In appraisal andor PCA

21

Thank you

Money Matters Exploring the Financial Impacts of Green Certifications in the Multifamily Rental Sector

Erin A Hopkins PhD CAPS LEED Green AssociateAssistant Professor of Property Management

bull Sample 153 properties from 2 of National Multifamily Housing Councilrsquos 2016 50 Largest Apartment Managers

bull Green-certified 2288 of properties (35 properties)bull Methodology Multiple Regression Analysisbull Controls Location Fitness Center Pool Outdoor Common Area Walk

Score of Unfurnished Apartments Average Apartment Unit Size Age Building Mix

bull Limitations Building class not directly taken into account

Overview of Research

Certifications Represented in Sample

Austin Energy Green Buildingreg (AEGB)

Rating System(3)

ENERGY STARreg

(1)

Florida Green Building Coalition

(FGBC)(1)

GreenPoint Rated(4)

LEEDreg

(16)

National Green Building Standardtrade

(NGBS)(11)

Properties by City

2

4

2 2 21 1

3

1 1 12 2

1 1 1

6

1 1

8

11

4

6

14

3

1

19

3

1 1

7

43

2

9

18

2 2

0

2

4

6

8

10

12

14

16

18

20

Summary Statistics of City Datan=153

Summary Satistics of City Data Green Bldgs Summary Satistics of City Data Non-Green Comparables

Descriptive

97

71

100

31

89

69

93

24

0

20

40

60

80

100

120

Fitness Center Pool Outdoor Common Area Mixed-Use Property

Summary Statistics of Green vs Non-Green Propertiesn = 153

Green Non-Green

Descriptive

73228

866

2011

74

259

894

2003

0

500

1000

1500

2000

2500

Walk Score Average Number of Units Average Apt Unit Size (sf) Age

Summary Statistics of Green vs Non-Green Properties

n = 153

Green Non-Green

Findings

Total Rents Collected1047

Total Maintenance1254

Property Insurance1319

Total Expenses1311

Higher rents and expenses

Financial Impacts of Green

Dependent Variable Per Square Foot Per Apartment Per PropertyTotal Rents Collected 247$ 2189$ 551683$ Subtotal Maintenance 020$ 178$ 44843$ Property Insurance 005$ 42$ 10601$ Total Expenses 112$ 990$ 249535$

Coefficients Standard Errors

Tables

Summary of Green Impacts

Summary Table

Discussion

bull Assume efficient operations will offset the higher rent

bull Philanthropic motivesbull Prestige motivesbull Green buildings tend to be newermore

likely to offer the more sought-after amenities and finishes

bull Tend to be in higher-income areaslikely have higher rents

Different motivations for paying higher rent may be in

play

Discussion

Higher Operating Expenses a Surprise

Does not align with much of the existing researchhellipbut no research on effects of green certification on total operating expenses within multifamily rental sector

Many of the certifications represented in this study focus on the design phase of the property vs the operations and maintenance phase

And although promotion of sustainability is on the rise in the multifamily housing sector staff may remain unfamiliar with the unique operations and maintenance of green

buildings

Final Thoughts

Apartment homes represent $13 trillion to the US economy and 5 million new rental households are expected by 2023 (National Multifamily Housing Council 2015)

Upfront capital constraints regulatory issues knowledge limitations and marketing concerns may diminish the attractiveness of multifamily rental green building

certification if not properly managed

Most studies focus on office sector andor strictly rents or property value

This study begins to look at the multifamily rental sector and offer a more comprehensive analysis

Further research is needed with larger datasets to understand effects of green certification on income statement components in the apartment industry as NOI

ultimately determines property market valueOptimism that this study can be the impetus for further research contributions on the

financial environmental and resident satisfaction impacts of green practices and certifications on the multifamily rental sector

Contact informationErin A Hopkinserinz1vtedu

Acknowledgementsbull Todd Feist Sustainability Program Manager at The Institute of

Real Estate Management (IREMreg) for his assistance with this research project

bull Yardi and IREMreg for the grant awarded to support this researchbull The two property management companies for sharing their data

BUILDING PERFORMANCE

UNLOCKINGVALUE

New DOE-driven Research Around High Performing Buildings

AUGUST 23 2018

ANDREW WHITEASSOCIATE MANAGERawhiteretechadvisorscom

2015-2016 bull Research design working group pilot study data lab

2017 bull Connect to Real Estate Research Institute (RERI) Literature review and gap analysis

2018 bull Research agenda request for proposals research project selection and execution

Context Setting ndash DOE Research EffortWhat are the impacts of energy efficiency and high-performance building

features on financial performance of commercial real estate

RERIrsquos mission is to encourage and reward research on real estate as an investment and as an asset class that is both academically rigorous and of value to the institutional real estate investment profession In addition RERI serves to provide a forum through which the real estate academic professional and regulatory communities can interact facilitating the exchange of insights amongst these stakeholders

RERI Overview

Sponsors

Build upon DOErsquos Review of Studies in the Market

bull Focus explicitly on peer-reviewed papers Gap analysis of existing research to

identifybull Questions that have already been

sufficiently provenbull Holes in existing body of research

Academic Inputbull Guidance on which studies to includebull Suggestions for how to conduct analysis

Literature Review Objectives

Literature Review Results

LEED

ENER

GY

ST

AR

labe

l

ENER

GY

ST

AR

sc

ore

Ener

gy u

se

BR

EEA

M

Ener

gy

Perf

orm

anc

e Cer

tific

ates

(U

K)

BO

MA

B

EST

Wal

kabi

lity

Non

-ene

rgy

gree

n fe

atur

es

Oth

er

Rent 20 18 1 2 2 2 1 1 1Rent concessions 1 1 1Sales price 9 11 1 1 1 1Assessed value 2 2Market value 1 2 1 2 1Occupancy 10 9 1Lease renewals 1 1 1Service charge 1Operating cost 2 3Energy cost 2 3Tenant satisfaction 1 1 1Sales time 1 1Default rate 2 1Capitalization rate 1 2 2 1Net operating income 1 1 1Loan to value ratio 1 1Debt service coverage ratio 1 1Worker productivity 1 1Other 5 4 1 4 2 2

There is considerable evidence that green building certifications correlate with increased economic value primarily via higher rents and sales prices

bull How do we move beyond certification to analyze performancebull Correlation vs Causation

bull What is driving added value Is it green features and efficiency the green labels themselves or other desirable features often included in certified buildings

Panel studies could help reduce some of the uncertainty and noise Full results presented at ACEEE Summer Study

bull Raising the Rent Premium Moving Green Building Research Beyond Certifications and Rent

bull Cindy Zhu Andrew White Paul Mathew Jeff Deason Philip Coleman

Literature Review Results

Research Agenda Core QuestionldquoHow does ltenergygreen metricgt affect ltfinancial value metricgtrdquo

EnergyGreen Metric

Site energy use or EUI

Source energy use or EUI

Energy cost or costsf

ENERGY STAR score

ENERGY STAR label

Green Building Certification (LEED BOMA 360)

Green Building Certification level (eg LEED Silver Gold)

Financial Value Metric

VacancyOccupancy Sales Price

Leasing Velocity (absorption speed of sales leasing)

Regulatory amp Compliance Risk

Tenant Renewals Insurance (rates ability)

Tenant Satisfaction Default Risk

Rental Income and Rent Concessions Debt Service Coverage Ratio

Marketing Costs Access to Funding

Utility Costs Maintenance OpEx Interest Rates

Obsolescence Reserves

Capitalization Rates

12 proposals received 5 projects selected Criteria

bull Department of Energy goals

bull Impact on Commercial Real Estate (CRE) Industry

bull Feasibility and Interest

bull Quality and Validity

Proposal Reviews

Jim Clayton Avis Devine (York University) and Rogier Holtermans(University of Guelph) Analyzing four types of energy

efficiency interventions on financial components that impact property-level NOI

bull How do interventions impact different aspects of building operations and their subsequent financial impact

Beyond Environmental Building Certification The Impact of Environmental Interventions on Commercial Real Estate Operations

Piet Eichholtz and Nils Kok (Maastricht University) and RogierHoltermans (University of Guelph) Three key questions

bull How is environmental building certification related to commercial building energy consumption

bull How does aging affect the energy consumption of the commercial building stock

bull To what extent do specific energy efficiency investments affect energy consumption in commercial real estate

The Dynamics of Energy Consumption in Commercial Real Estate

Sofia Dermisi Chris Lee and YoungjinChoe (University of Washington) Exploring the effect of disclosure

policies on office building marketability while assessing potential links between market performance of sustainable assets

bull Before and after the disclosure policies while considering market cycles

bull Before and after ENERGY STAR andor LEED certification

Markets included San Francisco Washington DC

Effect of Energy Benchmarking and Disclosure on Office Building Marketability

Dirk Brounen (Tilburg University) and Gianluca Marcato (Reading University) Analyzing the adoption of GRESB within the public real estate markets and

predicting a potential impact of GRESB scores on REIT returns

Sustainable Insights and Public Real Estate Performance GRESB Effects in REIT Markets

Constantine Kontokosta (New York University) Franz Fuerst(Cambridge University) Gary Pivo (University of Arizona) amp Jacob Sagi (UNC Chapel Hill) Utilizing NYC data to empirically model

bull the spread between the premium for labeled (energy efficient) buildings and the cost to retrofit an under-performing building to meet the same standard which will allow us to understand how much of the observed premium is attributable to energy efficiency and how much can be assigned to other perceived benefits (marketing construction quality etc)

bull the hurdle rate for energy retrofit investments using actual audit data and permitted renovation work

Estimating Office and Residential Building Energy Retrofit Hurdle Rates and Risk Arbitrage in Energy Efficiency Investments

Collecting data for continued Data Lab analysis Presenting Research findings

bull Interim research results ndash IPC Research Symposium (October)bull Greenbuild Session (November)bull RERI Research Conference (April)bull Final research results ndash Better Buildings Webinars Summit 2019 (TBA)

Work with DOE case study and data analysis opportunities abound

Next Steps

Paul Mathew

Lawrence Berkeley National Laboratorypamathewlblgov

Paulo Issler

University of California Berkeleypauloisslerberkeleyedu

Erin Hopkins

Virginia Techerinz1vtedu

Andrew White

RE Tech Advisorsawhiteretechadvisorscom

Contact Info

  • Slide Number 1
  • Business Case 20 New Research Around High Performing Buildings
  • Panelists
  • Energy and Default Risk in Commercial Mortgages
  • Paulo Issler
  • Acknowledgements
  • The link between energy and CRE mortgages
  • Approach Impact of energy on default rate
  • Default risk and source EUI (cont)
  • Default risk and source EUI
  • Default risk and source EUI (cont)
  • Default risk and source EUI (cont)
  • What are the impacts on specific loans
  • Case Studies
  • Denver Office ndash energy use and default risk
  • Denver Office ndash energy price and default risk
  • Case Studies ndash summary of risks impacts
  • Case Studies ndash business impact
  • Looking Ahead
  • Looking Ahead ndash our vision
  • Recommendations
  • Slide Number 22
  • Money Matters Exploring the Financial Impacts of Green Certifications in the Multifamily Rental SectorErin A Hopkins PhD CAPS LEED Green AssociateAssistant Professor of Property Management
  • Overview of Research
  • Certifications Represented in Sample
  • Properties by City
  • Descriptive
  • Descriptive
  • Findings
  • Financial Impacts of Green
  • Discussion
  • Discussion
  • Final Thoughts
  • Slide Number 34
  • Slide Number 35
  • Context Setting ndash DOE Research Effort
  • RERI Overview
  • Literature Review Objectives
  • Literature Review Results
  • Literature Review Results
  • Research Agenda Core Question
  • Proposal Reviews
  • Beyond Environmental Building Certification The Impact of Environmental Interventions on Commercial Real Estate Operations
  • The Dynamics of Energy Consumption in Commercial Real Estate
  • Effect of Energy Benchmarking and Disclosure on Office Building Marketability
  • Sustainable Insights and Public Real Estate Performance GRESB Effects in REIT Markets
  • Estimating Office and Residential Building Energy Retrofit Hurdle Rates and Risk Arbitrage in Energy Efficiency Investments
  • Next Steps
  • Contact Info
Y Term ~Bias Estimate EXP estimate Practical Interpretation increasedecrease Std Error DFDen t Ratio Probgt|t| Log(Vacancies amp Rent Loss rentable sf) Log(Total Rents Collected rentable sf) Log(Total Actual Collections rentable sf) Log(Management Fee rentable sf) Log(Total Utilities Rentable sf) Log(MampR rentable sf) Log(Subtotal Maintenance rentable sf) Log(Property Insurance rentable sf) Log(Total All Expenses Rentable sf) Log(NOI Rentable sf) Concessions rentable sf
Log(Vacancies amp Rent Loss rentable sf) Intercept 00893029328 10934118365 934 06116337119 1083785495375 01460072116 08841869197 Green Certified (1=yes 0=no)[Yes] -00318 01047 00991
Log(Vacancies amp Rent Loss rentable sf) Green Certified (1=yes 0=no)[Yes] -0031825668 09686754385 -313 009164153 139931853592 -03472843369 07288994904 Gym (1=yes 0=no)[Yes] 01060 00708 00767
Log(Vacancies amp Rent Loss rentable sf) Gym (1=yes 0=no)[Yes] 01007730854 11060256399 1060 01479591517 1412043780621 0681087207 0496931725 Pool (1=yes 0=no)[Yes] 01126 00089 00131
Log(Vacancies amp Rent Loss rentable sf) Pool (1=yes 0=no)[Yes] 01125884395 11191712315 1192 0113345701 506840641957 09933190097 032527325 Outdoor Common Area (1=yes 0=no)[Yes] 02673 -00803 -00764
Log(Vacancies amp Rent Loss rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 02672618233 13063824429 3064 01690835398 1429144230275 15806495624 01161688791 Walk Score 00102 00065 00066
Log(Vacancies amp Rent Loss rentable sf) Walk Score 00101642302 10102160615 102 00040763935 1219632686439 24934369735 00139912712 of Unfurnished Apartments -00003 -00009 -00008
Log(Vacancies amp Rent Loss rentable sf) of Unfurnished Apartments -0000250981 09997490505 -003 00006011213 142449410245 -04175214322 06769256723 Average Apt Unit Size -00003 -00002 -00002
Log(Vacancies amp Rent Loss rentable sf) Average Apt Unit Size -00002575258 09997425074 -003 00004990119 1315989429881 -05160713681 06066705884 Age -00026 00008 00015
Log(Vacancies amp Rent Loss rentable sf) Age -00026152008 09973882158 -026 00056263988 1391583522195 -04648090107 06427946925 Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00099 00043 00252
Log(Vacancies amp Rent Loss rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00099001013 10099492694 099 0100821633 1384002310718 00981942166 09219201454
Log(Total Rents Collected rentable sf) Intercept 30195696974 204824761253 194825 04164909532 1420770663705 72500246992 0
Log(Total Rents Collected rentable sf) Green Certified (1=yes 0=no)[Yes] 00996165255 11047471944 1047
Hopkins Erin Hopkins Erincant provide a confidencd interval for it
00590542761 1286416575023 16868638818 0094053065
Log(Total Rents Collected rentable sf) Gym (1=yes 0=no)[Yes] 00684081888 10708023088 708 0096210834 1330244953516 07110237581 04783143732
Log(Total Rents Collected rentable sf) Pool (1=yes 0=no)[Yes] 00088712036 10089106694 089 00916333982 708572236354 00968119025 09231490817
Log(Total Rents Collected rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00836597449 09197441505 -803 01126005752 1404546011941 -07429779537 04587359136
Log(Total Rents Collected rentable sf) Walk Score 0006479206 10065002414 065 0002794287 1413201347208 23187331419 00218436949
Log(Total Rents Collected rentable sf) of Unfurnished Apartments -00008678845 0999132492 -009 00003932429 1359586026848 -22069932213 00289920945
Log(Total Rents Collected rentable sf) Average Apt Unit Size -00002078918 09997921298 -002 00003300088 1382568544162 -06299582685 05297616269
Log(Total Rents Collected rentable sf) Age 00008364704 10008368204 008 00037477419 1387794745176 02231931757 08237133506
Log(Total Rents Collected rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00042999624 10043092206 043 0069466499 142786243042 00618998008 09507291881
Log(Total Actual Collections rentable sf) Intercept 30681072891 215011686418 205012 04070110501 1415072794017 75381424868 0
Log(Total Actual Collections rentable sf) Green Certified (1=yes 0=no)[Yes] 00944491888 10990533175 991 00578900924 1291837028308 16315259643 01052148631
Log(Total Actual Collections rentable sf) Gym (1=yes 0=no)[Yes] 00739127176 10767128233 767 0094247393 1335821297113 07842415071 04342868782
Log(Total Actual Collections rentable sf) Pool (1=yes 0=no)[Yes] 00130418887 10131273051 131 00885804441 654593026021 01472321442 08834013324
Log(Total Actual Collections rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00794248992 0923647384 -764 01101507414 1410305976559 -07210564195 04720684016
Log(Total Actual Collections rentable sf) Walk Score 00065530115 10065745295 066 00027272037 14047408887 24028316857 00175745575
Log(Total Actual Collections rentable sf) of Unfurnished Apartments -0000833078 09991672689 -008 00003850262 1365168778586 -21636916411 00322285543
Log(Total Actual Collections rentable sf) Average Apt Unit Size -00002169447 09997830788 -002 00003233576 1393662972101 -06709126047 05033865944
Log(Total Actual Collections rentable sf) Age 00015178151 10015189676 015 0003670824 1398532082324 04134807595 06798877496
Log(Total Actual Collections rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00249154485 10252284322 252 0067842812 1423468871242 03672525904 07139760316
Log(Management Fee rentable sf) Intercept -02128803278 08082528568 -1917 04254329778 585619088893 -0500385111 06186792644
Log(Management Fee rentable sf) Green Certified (1=yes 0=no)[Yes] 0019865513 10200641454 201 00593086525 1354977267554 03349513461 07381797603
Log(Management Fee rentable sf) Gym (1=yes 0=no)[Yes] -00082052627 09918283086 -082 00958032958 1386068833723 -00856469772 09318706455
Log(Management Fee rentable sf) Pool (1=yes 0=no)[Yes] 00174275629 10175803089 176 00771880661 202180965349 02257805358 08236388274
Log(Management Fee rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00153191452 10154370848 154 01103651216 1423896402644 01388042255 08898009734
Log(Management Fee rentable sf) Walk Score 00070459229 10070708039 071 00028008303 805559990921 25156550566 0013868745
Log(Management Fee rentable sf) of Unfurnished Apartments -0001358177 09986427449 -014 00003916726 1421224837061 -34676335479 00006950146
Log(Management Fee rentable sf) Average Apt Unit Size -00005130214 09994871101 -005 00003375961 1007585612206 -15196307445 0131735624
Log(Management Fee rentable sf) Age 00013613923 10013623194 014 00037151697 1277713043957 03664414822 07146417588
Log(Management Fee rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -00674463479 09347778721 -652 00657081953 1299283630266 -10264525997 03065854809
Log(Total Utilities Rentable sf) Intercept -03748562337 06873880949 -3126 04464274077 1402143832266 -08396801522 04025171642
Log(Total Utilities Rentable sf) Green Certified (1=yes 0=no)[Yes] 00873163337 10912418217 912 0064576715 1358457024729 13521334071 01785794114
Log(Total Utilities Rentable sf) Gym (1=yes 0=no)[Yes] 01175979311 11247917766 1248 01048349264 1384172144229 11217438221 02639135776
Log(Total Utilities Rentable sf) Pool (1=yes 0=no)[Yes] 00115680134 10116351816 116 00928512423 72633370166 01245865221 09011950626
Log(Total Utilities Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00222539972 10225034645 225 01216524447 1425571484619 01829309493 0855112103
Log(Total Utilities Rentable sf) Walk Score 00068649233 10068885409 069 00029812807 1396033046894 23026759291 00227754146
Log(Total Utilities Rentable sf) of Unfurnished Apartments -00006773222 09993229071 -007 00004273761 1401067188346 -15848386198 01152575495
Log(Total Utilities Rentable sf) Average Apt Unit Size -00003442022 0999655857 -003 00003581401 1425120147852 -09610825805 03381384619
Log(Total Utilities Rentable sf) Age 00048795122 10048914364 049 00040600929 1425855030198 12018227897 02314244716
Log(Total Utilities Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -01198355423 08870663096 -1129 00742421382 1413320388001 -16141176043 01087323819
Log(MampR rentable sf) Intercept -09030689887 04053238148 -5947 0437858541 1384008312652 -20624674504 00410332652
Log(MampR rentable sf) Green Certified (1=yes 0=no)[Yes] 00937424436 10982768413 983 00639155521 1376081716673 14666609392 01447499128
Log(MampR rentable sf) Gym (1=yes 0=no)[Yes] 00037664885 10037735907 038 01036113865 1396450691334 00363520715 09710535435
Log(MampR rentable sf) Pool (1=yes 0=no)[Yes] 01319613595 11410642271 1411 00887446725 719561267791 14869778183 0141389644
Log(MampR rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00521515872 09491849716 -508 01197720975 1428478988157 -04354235112 06639122497
Log(MampR rentable sf) Walk Score 00110131704 10110740386 111 00029197236 1385662208531 37719907631 00002391344
Log(MampR rentable sf) of Unfurnished Apartments -00008849955 09991153959 -009 00004219429 1410140957414 -20974297602 0037740228
Log(MampR rentable sf) Average Apt Unit Size 00000594506 10000594524 001 0000353075 1429981472006 01683796031 08665225748
Log(MampR rentable sf) Age 0007624822 1007653965 077 00039990018 142990029884 19066812998 00585678315
Log(MampR rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00598131349 10616381449 616 00727173027 1406732379184 08225433659 04121598071
Log(Subtotal Maintenance rentable sf) Intercept -07997344997 04494482769 -5506 0489167182 1380935604874 -16348899298 01043496414
Log(Subtotal Maintenance rentable sf) Green Certified (1=yes 0=no)[Yes] 01180969773 11253532398 1254 00707986514 1348907221481 16680681771 00976219515
Log(Subtotal Maintenance rentable sf) Gym (1=yes 0=no)[Yes] 00409351965 10417845921 418 01148796072 1378640116803 03563312718 07221372278
Log(Subtotal Maintenance rentable sf) Pool (1=yes 0=no)[Yes] 01515780559 11636691295 1637 0100780712 617547240206 15040383505 01376688864
Log(Subtotal Maintenance rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -0078076377 09248937833 -751 01331885868 1426567369893 -05862092154 05586613077
Log(Subtotal Maintenance rentable sf) Walk Score 0011889233 10119601909 120 00032614069 1377504918879 36454307183 00003773801
Log(Subtotal Maintenance rentable sf) of Unfurnished Apartments -00008153416 09991849907 -008 00004682078 1398534995511 -17414095506 00838107083
Log(Subtotal Maintenance rentable sf) Average Apt Unit Size 00005083484 10005084776 005 00003930253 1428434249161 12934242295 01979520949
Log(Subtotal Maintenance rentable sf) Age 00104106727 10104650523 105 00044515054 1428449267664 23386858733 00207383998
Log(Subtotal Maintenance rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 02440298206 12763823925 2764 0081177414 1402563601749 30061295196 00031359748
Log(Property Insurance rentable sf) Intercept -08916874806 04099633635 -5900 04516384713 1429624291993 -19743390727 00502702101
Log(Property Insurance rentable sf) Green Certified (1=yes 0=no)[Yes] 01239058141 11319092561 1319 0062692592 1281678143933 19764027959 00502564371
Log(Property Insurance rentable sf) Gym (1=yes 0=no)[Yes] -0003522638 09964835593 -035 01024969537 1314939748594 -0034368221 09726356404
Log(Property Insurance rentable sf) Pool (1=yes 0=no)[Yes] 00227423743 10230029538 230 01040308572 1125700947624 02186118131 08273482928
Log(Property Insurance rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00155809876 10157030041 157 01206677853 1368483458399 01291230096 08974498986
Log(Property Insurance rentable sf) Walk Score 00072977866 10073244804 073 00030353828 1428602075435 24042392705 00174877086
Log(Property Insurance rentable sf) of Unfurnished Apartments -00010061941 09989943119 -010 0000420017 1337858380697 -23956034086 00179774093
Log(Property Insurance rentable sf) Average Apt Unit Size -00006330482 09993671521 -006 00003514502 1338864329416 -18012458048 0073914725
Log(Property Insurance rentable sf) Age 00009661099 10009665767 010 00039921418 1338497494964 02420028921 08091483095
Log(Property Insurance rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -00520208103 09493091112 -507 00749301111 1411273861679 -06942577501 04886618561
Log(Total All Expenses Rentable sf) Intercept 17410862845 57035357214 47035 03946731547 141889623796 44114636723 00000201648
Log(Total All Expenses Rentable sf) Green Certified (1=yes 0=no)[Yes] 01231722438 11310792255 1311 00565275641 1341244163534 21789766772 00310802733
Log(Total All Expenses Rentable sf) Gym (1=yes 0=no)[Yes] 00096244971 10096709615 097 00919378962 1370603130567 01046847658 09167789899
Log(Total All Expenses Rentable sf) Pool (1=yes 0=no)[Yes] 01610294116 11747195186 1747 00846545666 801516751987 19021940341 00607378863
Log(Total All Expenses Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00361842114 09644626121 -355 01071504659 1418739239709 -03376953252 07360919324
Log(Total All Expenses Rentable sf) Walk Score 00087371658 10087754463 088 00026426023 1411809488418 33062734678 00011989895
Log(Total All Expenses Rentable sf) of Unfurnished Apartments -00008720665 09991283137 -009 00003752966 1389800988186 -23236728617 00215934791
Log(Total All Expenses Rentable sf) Average Apt Unit Size -0000155413 0999844599 -002 00003145108 1409449329598 -0494142052 06219751067
Log(Total All Expenses Rentable sf) Age 00015666155 10015678433 016 00035695206 1412387206124 04388868073 06614142124
Log(Total All Expenses Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00157918953 10159172462 159 00657593447 1424551160559 02401467861 08105616925
Log(NOI Rentable sf) Intercept 27416093787 155119295878 145119 049686036 1426328429735 55178669889 0000000157
Log(NOI Rentable sf) Green Certified (1=yes 0=no)[Yes] 00932241108 10977077159 977 00701671113 1292740226257 13286012361 01863200879
Log(NOI Rentable sf) Gym (1=yes 0=no)[Yes] 0111280688 11177085902 1177 0114413579 13320261997 09726178396 03325061802
Log(NOI Rentable sf) Pool (1=yes 0=no)[Yes] -00608871507 0940929417 -591 01107002034 838263437204 -05500184174 05837693269
Log(NOI Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -01393113526 08699571229 -1300 01340931949 1397855428856 -10389144106 03006382455
Log(NOI Rentable sf) Walk Score 00045000262 10045101666 045 0003337636 1423581725818 13482675372 01797136327
Log(NOI Rentable sf) of Unfurnished Apartments -00007116645 09992885887 -007 00004679272 1358400867851 -15208872073 01306124688
Log(NOI Rentable sf) Average Apt Unit Size -00001937801 09998062387 -002 00003921685 1372175013367 -04941245389 06220083144
Log(NOI Rentable sf) Age 00034607088 1003466704 035 00044548378 1376438770548 07768428318 04385844885
Log(NOI Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00488697769 10500835966 501 00828565286 1429949688826 05898120243 0556247504
Concessions rentable sf Intercept 0091580439 10959049266 959 12772069558 1418541020247 00717036801 09429387231
Concessions rentable sf Green Certified (1=yes 0=no)[Yes] 01110697527 11174728508 1175 01814813765 1293641668833 06120173584 05416004511
Concessions rentable sf Gym (1=yes 0=no)[Yes] -05094051331 06008529 -3991 02955403985 1336296409402 -17236395961 00870857294
Concessions rentable sf Pool (1=yes 0=no)[Yes] -00886152984 09151975838 -848 02791864929 69298361986 -03174053928 07518903943
Concessions rentable sf Outdoor Common Area (1=yes 0=no)[Yes] 04576291372 15803228114 5803 03455726285 1408379747117 13242632646 01875606951
Concessions rentable sf Walk Score 00120688741 10121419968 121 00085630896 1409791646097 14094064916 01609170757
Concessions rentable sf of Unfurnished Apartments -00007045588 09992956894 -007 00012075862 1364744404696 -05834438741 05605574922
Concessions rentable sf Average Apt Unit Size -00003193903 09996806607 -003 00010135961 1389703034326 -03151061148 07531537379
Concessions rentable sf Age 00130223218 10131074815 131 00115086772 139464867267 11315220311 02597773256
Concessions rentable sf Building Mix (0=multifamily 1 = mixed-use)[Mixed] -03719888249 06893619462 -3106 02129597676 1426034459287 -17467563435 00828326573
Y Term Practical Interpretation increasedecrease Probgt|t| Total Rents Collected Subtotal Maintenance Property Insurance Total Expenses
Log(Total Rents Collected rentable sf) Green Certified (1=yes 0=no)[Yes] 1047
Hopkins Erin Hopkins Erincant provide a confidencd interval for it
009 130837635934 13311489362 01847683215 67633617021
Log(Subtotal Maintenance rentable sf) Green Certified (1=yes 0=no)[Yes] 1254 010 267662568114 08839769656 0489370035 133484365708
Log(Property Insurance rentable sf) Green Certified (1=yes 0=no)[Yes] 1319 005 44887430941 07758149459 02417429373 41261056301
Log(Total All Expenses Rentable sf) Green Certified (1=yes 0=no)[Yes] 1311 003 103066299601 12390720963 00474343371 5067818194
206907297628 2385711159 02072356932 9194606526
318766961061 22633758919 04452208547 128154919371
92461669878 09545425866 01280485733 38832017239
143925847783 15966970999 02187893202 54018796992
176714125561 02006495648 02876780533 58992020575
232897515382 0726170332 00787094673 69517596041
Non-green sf average Financial Green Impact sf Financial green impact differencesf Green impactapt Green impactproperty 51780910259 05203453537 00494304264 22609306646
178353784788 17547710996 02048626598 95961490345
Total Rents Collected sf 1047 2356 2603 $ 247 $ 2189 $ 551683 113769814112 12206875575 03432049607 118156743193
Subtotal Maintenance sf 1254 160 180 $ 020 $ 178 $ 44843 301239240258 10561596849 0204970258 110903994641
Property Insurance sf 1319 036 041 $ 005 $ 42 $ 10601 918584487 08376649832 00914663991 4146546939
Total Expenses sf 1311 852 963 $ 112 $ 990 $ 249535 265183769576 19294929362 03500602344 108447158033
226055903548 13557897255 03988791741 10971207244
334894587007 17970717884 05122599181 124640467569
5542518821 31394328066 04875650977 200668786372
112655732059 13445692884 02031297086 43995867235
129139526152 1168069688 00518980213 4651511283
Avg Apt Size Avg of Units 151098478261 13975 02004130435 51873478261
192155046737 21015937064 02616549091 8357602264
887 252 514840434082 52766375656 02375463267 174375582672
81421971535 06694487849 00899424521 2748686222
30246817244 21594341279 03308639536 97277207077
488523197409 27727612187 0646599696 130752346177
318750561687 38903340576 03852711795 142409683793
310384048163 43119745565 03335824966 138846874251
Green Certification Impacts 48578215663 0350218077 03095574205 23695139998
Dependent Variable Per Square Foot Per Apartment Per Property 192237574111 13374121765 02053242615 84027476689
Total Rents Collected $ 247 $ 2189 $ 551683 62979912788 05343191729 00816289996 45390243161
Subtotal Maintenance $ 020 $ 178 $ 44843 148378959661 14651715909 02004049722 80900580942
Property Insurance $ 005 $ 42 $ 10601 196798863889 11267176542 02499920663 90266351433
Total Expenses $ 112 $ 990 $ 249535 281508617823 09686995581 01118170881 119863342059
58584849751 0106864586 04187933949 44180073736
126756167712 1265684516 02796423029 87538414144
176550549412 24957340254 02343899179 88904473415
252421786235 28063734042 03142238564 133776179357
191875932907 13637043757 03440324697 987034902
159508092934 13109374847 02091697013 98967206196
342739845467 09614092295 03929892961 129755936769
192510355167 32804720611 01743191858 134560085596
257829360401 13666691797 01527100011 56329812754
358622391559 14251973427 03437553732 101098436889
217744157919 24046486586 01864745418 68711016642
222112557003 22022148788 07879755849 97807110765
202535763689 04548110217 10003436751 127886698915
155879815194 23816051158 04816227091 119033557201
11066078843 23413202706 06413902496 81812176347
151924709838 18873401649 05711000232 105403544539
163604010853 16052949068 02714509557 82030431823
133974400047 11018949984 03560839935 59096477943
133528448829 13647819036 02538331588 66159357367
187400008959 16889788117 030870974 115752907975
155246293804 18308314258 03852380906 116657595614
34082816218 05447090935 09838411173 13641308574
201220131342 11192465065 03188344246 93786154242
139108532616 13313944086 03887737775 69698295902
191656858207 15717927807 06002115982 119380046581
200921599083 12597596226 03267106334 82474085087
57536742874 00453219212 00300766262 10569757217
120548294116 11607892527 03275736725 74435143659
123188534664 1404028789 03510968138 78762080781
59543029729 0899713372 01652374748 28143456117
144215639215 19193238703 02899837711 67370054173
340046684831 19619729415 04325060698 120608464163
208244777176 28183367899 037 73104355304
234349752613 19432301154 0351134881 107484594815
136370903402 17029933791 01989576534 50899930579
149968383478 14209793679 02735642323 63813718869
81145819519 0920766851 00474564037 30674168785
226307446224 12529424404 02036192613 69235920453
132787305462 08047482453 01232346659 41808605432
251519090044 21798380428 0376480317 80396623551
492269138212 12196979039 02981674812 128316943664
107177195916 08016374211 0113808252 40618650625
128238528886 10751217142 01843492552 6476830365
57582611557 11908427448 0874334536 134004066235
43835651097 34822540694 03904989384 146763800425
205787355386 1429219053 02624404931 5321754079
463148430769 07709353846 06150738462 101617384615
377949548611 28670972222 08296944444 109743576389
360087564176 03501711352 18551055334 110041072447
18371979614 18232783153 07267294459 61184870906
678035276363 13443501226 10431616676 167533484248
56073359244 10138647576 01591318768 51440832304
189431314891 05101557395 03677787459 41010945328
383550342095 23244425576 04086557393 98151764619
115544349685 03310482653 037 40344851625
7552318246 0955023726 01241945851 24368780848
133083101881 19451300341 00938801919 48731378614
122308363087 13760780005 01439989014 45100624828
84908269322 10857071617 01155797799 36082570734
263116048067 10733627163 041902582 60372732395
76183752731 09621126305 01069925907 26170373239
172494454001 11781600332 03919686814 59016193131
342076422068 22741368431 03165622465 73557085549
215534567901 1485497076 02210396361 49118778428
314593058927 23798916958 02751353803 121998559501
586535191691 21029046354 02109026171 91979074439
138093310078 14595490221 02142269839 44286283792
227203645682 04584630891 05737147639 93344680527
572754455737 17713614269 01642228739 92545561671
60603870458 04541110154 01180884676 15902125521
358781017266 33847643857 06854022643 139200146946
342079216629 24477703832 0463059603 67166143833
651201231187 51019950176 12529595849 222094150831
369798669702 21700816928 0444474205 101410502507
421838575952 28823013788 05443272608 151399739597
626095189209 20826275416 04947814184 184651096472
214882899762 25034709712 06359683889 109534721722
274037120739 26718517094 037 67504928595
252667703737 25588590114 05379535858 109041874345
59253832495 01099622961 04620367393 19262874847
150862851538 18053109961 07398729558 71488607075
111196959019 00928417366 037 09427894164
667360269858 07921160191 02989609494 104670639024
2356 160 036 852
Log(Vacancies amp Rent Loss rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified -00318 00916 -00313 07289
Fitness Center 01008 01480 01060 04969
Pool 01126 01133 01192 03253
Outdoor Common Area 02673 01691 03064 01162
Walk Score 00102 00041 00102 00140
of Unfurnished Apartments -00003 00006 -00003 06769
Average Apt Unit Size -00003 00005 -00003 06067
Age -00026 00056 -00026 06428
Building Mix 00099 01008 00099 09219
Note R2 = 645
Log(Total Rents Collected rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00996 00591 01047 00941
Fitness Center 00684 00962 00708 04783
Pool 00089 00916 00089 09231
Outdoor Common Area -00837 01126 -00803 04587
Walk Score 00065 00028 00065 00218
of Unfurnished Apartments -00009 00004 -00009 00290
Average Apt Unit Size -00002 00003 -00002 05298
Age 00008 00037 00008 08237
Building Mix 00043 00695 00043 09507
Note R2 = 3318
Log(Total Actual Collections rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00944 00579 00991 01052
Fitness Center 00739 00942 00767 04343
Pool 00130 00886 00131 08834
Outdoor Common Area -00794 01102 -00764 04721
Walk Score 00066 00027 00066 00176
of Unfurnished Apartments -00008 00004 -00008 00322
Average Apt Unit Size -00002 00003 -00002 05034
Age 00015 00037 00015 06799
Building Mix 00249 00678 00252 07140
Note R2 = 3219
Log(Management Fee rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00199 00593 00201 07382
Fitness Center -00082 00958 -00082 09319
Pool 00174 00772 00176 08236
Outdoor Common Area 00153 01104 00154 08898
Walk Score 00070 00028 00071 00139
of Unfurnished Apartments -00014 00004 -00014 00007
Average Apt Unit Size -00005 00003 -00005 01317
Age 00014 00037 00014 07146
Building Mix -00674 00657 -00652 03066
Note R2 = 1697
Log(Total Utilities Rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00873 00646 00912 01786
Fitness Center 01176 01048 01248 02639
Pool 00116 00929 00116 09012
Outdoor Common Area 00223 01217 00225 08551
Walk Score 00069 00030 00069 00228
of Unfurnished Apartments -00007 00004 -00007 01153
Average Apt Unit Size -00003 00004 -00003 03381
Age 00049 00041 00049 02314
Building Mix -01198 00742 -01129 01087
Note R2 = 2171
Log(MampR rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00937 00639 00983 01447
Fitness Center 00038 01036 00038 09711
Pool 01320 00887 01411 01414
Outdoor Common Area -00522 01198 -00508 06639
Walk Score 00110 00029 00111 00002
of Unfurnished Apartments -00009 00004 -00009 00377
Average Apt Unit Size 00001 00004 00001 08665
Age 00076 00040 00077 00586
Building Mix 00598 00727 00616 04122
Note R2 = 2620
Log(Subtotal Maintenance rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 01181 00708 01254 00976
Fitness Center 00409 01149 00418 07221
Pool 01516 01008 01637 01377
Outdoor Common Area -00781 01332 -00751 05587
Walk Score 00119 00033 00120 00004
of Unfurnished Apartments -00008 00005 -00008 00838
Average Apt Unit Size 00005 00004 00005 01980
Age 00104 00045 00105 00207
Building Mix 02440 00812 02764 00031
Note R2 = 3218
Log(Property Insurance rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 01239 00627 01319 00503
Fitness Center -00035 01025 -00035 09726
Pool 00227 01040 00230 08273
Outdoor Common Area 00156 01207 00157 08974
Walk Score 00073 00030 00073 00175
of Unfurnished Apartments -00010 00004 -00010 00180
Average Apt Unit Size -00006 00004 -00006 00739
Age 00010 00040 00010 08091
Building Mix -00520 00749 -00507 04887
Note R2 = 3902
Log(Total All Expenses Rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 01232 00565 01311 00311
Fitness Center 00096 00919 00097 09168
Pool 01610 00847 01747 00607
Outdoor Common Area -00362 01072 -00355 07361
Walk Score 00087 00026 00088 00012
of Unfurnished Apartments -00009 00004 -00009 00216
Average Apt Unit Size -00002 00003 -00002 06220
Age 00016 00036 00016 06614
Building Mix 00158 00658 00159 08106
Note R2 = 2943
Log(NOI Rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00932 00702 00977 01863
Fitness Center 01113 01144 01177 03325
Pool -00609 01107 -00591 05838
Outdoor Common Area -01393 01341 -01300 03006
Walk Score 00045 00033 00045 01797
of Unfurnished Apartments -00007 00005 -00007 01306
Average Apt Unit Size -00002 00004 -00002 06220
Age 00035 00045 00035 04386
Building Mix 00489 00829 00501 05562
Note R2 = 3669
Concessions rentable sf
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 01111 01815 01175 05416
Fitness Center -05094 02955 -03991 00871
Pool -00886 02792 -00848 07519
Outdoor Common Area 04576 03456 05803 01876
Walk Score 00121 00086 00121 01609
of Unfurnished Apartments -00007 00012 -00007 05606
Average Apt Unit Size -00003 00010 -00003 07532
Age 00130 00115 00131 02598
Building Mix -03720 02130 -03106 00828
Note R2 = 2402
Y Term ~Bias Estimate EXP estimate Practical Interpretation increasedecrease Std Error DFDen t Ratio Probgt|t| Estimate Std Error Practical Interpretation Significance
Log(Vacancies amp Rent Loss rentable sf) Intercept 00893029328 10934118365 934 06116337119 1083785495375 01460072116 08841869197 Green Cert
Log(Vacancies amp Rent Loss rentable sf) Green Certified (1=yes 0=no)[Yes] -0031825668 09686754385 -313 009164153 139931853592 -03472843369 07288994904 Gym
Log(Vacancies amp Rent Loss rentable sf) Gym (1=yes 0=no)[Yes] 01007730854 11060256399 1060 01479591517 1412043780621 0681087207 0496931725
Log(Vacancies amp Rent Loss rentable sf) Pool (1=yes 0=no)[Yes] 01125884395 11191712315 1192 0113345701 506840641957 09933190097 032527325
Log(Vacancies amp Rent Loss rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 02672618233 13063824429 3064 01690835398 1429144230275 15806495624 01161688791
Log(Vacancies amp Rent Loss rentable sf) Walk Score 00101642302 10102160615 102 00040763935 1219632686439 24934369735 00139912712
Log(Vacancies amp Rent Loss rentable sf) of Unfurnished Apartments -0000250981 09997490505 -003 00006011213 142449410245 -04175214322 06769256723
Log(Vacancies amp Rent Loss rentable sf) Average Apt Unit Size -00002575258 09997425074 -003 00004990119 1315989429881 -05160713681 06066705884
Log(Vacancies amp Rent Loss rentable sf) Age -00026152008 09973882158 -026 00056263988 1391583522195 -04648090107 06427946925
Log(Vacancies amp Rent Loss rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00099001013 10099492694 099 0100821633 1384002310718 00981942166 09219201454
Log(Total Rents Collected rentable sf) Intercept 30195696974 204824761253 194825 04164909532 1420770663705 72500246992 0
Log(Total Rents Collected rentable sf) Green Certified (1=yes 0=no)[Yes] 00996165255 11047471944 1047
Hopkins Erin Hopkins Erincant provide a confidencd interval for it
00590542761 1286416575023 16868638818 0094053065 0099617 00590542761 1047
Log(Total Rents Collected rentable sf) Gym (1=yes 0=no)[Yes] 00684081888 10708023088 708 0096210834 1330244953516 07110237581 04783143732
Log(Total Rents Collected rentable sf) Pool (1=yes 0=no)[Yes] 00088712036 10089106694 089 00916333982 708572236354 00968119025 09231490817
Log(Total Rents Collected rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00836597449 09197441505 -803 01126005752 1404546011941 -07429779537 04587359136
Log(Total Rents Collected rentable sf) Walk Score 0006479206 10065002414 065 0002794287 1413201347208 23187331419 00218436949
Log(Total Rents Collected rentable sf) of Unfurnished Apartments -00008678845 0999132492 -009 00003932429 1359586026848 -22069932213 00289920945 variance components to talk about how much of the total error that is attribuatle to city
Log(Total Rents Collected rentable sf) Average Apt Unit Size -00002078918 09997921298 -002 00003300088 1382568544162 -06299582685 05297616269
Log(Total Rents Collected rentable sf) Age 00008364704 10008368204 008 00037477419 1387794745176 02231931757 08237133506
Log(Total Rents Collected rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00042999624 10043092206 043 0069466499 142786243042 00618998008 09507291881
Log(Total Actual Collections rentable sf) Intercept 30681072891 215011686418 205012 04070110501 1415072794017 75381424868 0
Log(Total Actual Collections rentable sf) Green Certified (1=yes 0=no)[Yes] 00944491888 10990533175 991 00578900924 1291837028308 16315259643 01052148631
Log(Total Actual Collections rentable sf) Gym (1=yes 0=no)[Yes] 00739127176 10767128233 767 0094247393 1335821297113 07842415071 04342868782
Log(Total Actual Collections rentable sf) Pool (1=yes 0=no)[Yes] 00130418887 10131273051 131 00885804441 654593026021 01472321442 08834013324
Log(Total Actual Collections rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00794248992 0923647384 -764 01101507414 1410305976559 -07210564195 04720684016
Log(Total Actual Collections rentable sf) Walk Score 00065530115 10065745295 066 00027272037 14047408887 24028316857 00175745575
Log(Total Actual Collections rentable sf) of Unfurnished Apartments -0000833078 09991672689 -008 00003850262 1365168778586 -21636916411 00322285543
Log(Total Actual Collections rentable sf) Average Apt Unit Size -00002169447 09997830788 -002 00003233576 1393662972101 -06709126047 05033865944
Log(Total Actual Collections rentable sf) Age 00015178151 10015189676 015 0003670824 1398532082324 04134807595 06798877496
Log(Total Actual Collections rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00249154485 10252284322 252 0067842812 1423468871242 03672525904 07139760316
Log(Management Fee rentable sf) Intercept -02128803278 08082528568 -1917 04254329778 585619088893 -0500385111 06186792644
Log(Management Fee rentable sf) Green Certified (1=yes 0=no)[Yes] 0019865513 10200641454 201 00593086525 1354977267554 03349513461 07381797603
Log(Management Fee rentable sf) Gym (1=yes 0=no)[Yes] -00082052627 09918283086 -082 00958032958 1386068833723 -00856469772 09318706455
Log(Management Fee rentable sf) Pool (1=yes 0=no)[Yes] 00174275629 10175803089 176 00771880661 202180965349 02257805358 08236388274
Log(Management Fee rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00153191452 10154370848 154 01103651216 1423896402644 01388042255 08898009734
Log(Management Fee rentable sf) Walk Score 00070459229 10070708039 071 00028008303 805559990921 25156550566 0013868745
Log(Management Fee rentable sf) of Unfurnished Apartments -0001358177 09986427449 -014 00003916726 1421224837061 -34676335479 00006950146
Log(Management Fee rentable sf) Average Apt Unit Size -00005130214 09994871101 -005 00003375961 1007585612206 -15196307445 0131735624
Log(Management Fee rentable sf) Age 00013613923 10013623194 014 00037151697 1277713043957 03664414822 07146417588
Log(Management Fee rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -00674463479 09347778721 -652 00657081953 1299283630266 -10264525997 03065854809
Log(Total Utilities Rentable sf) Intercept -03748562337 06873880949 -3126 04464274077 1402143832266 -08396801522 04025171642
Log(Total Utilities Rentable sf) Green Certified (1=yes 0=no)[Yes] 00873163337 10912418217 912 0064576715 1358457024729 13521334071 01785794114
Log(Total Utilities Rentable sf) Gym (1=yes 0=no)[Yes] 01175979311 11247917766 1248 01048349264 1384172144229 11217438221 02639135776
Log(Total Utilities Rentable sf) Pool (1=yes 0=no)[Yes] 00115680134 10116351816 116 00928512423 72633370166 01245865221 09011950626
Log(Total Utilities Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00222539972 10225034645 225 01216524447 1425571484619 01829309493 0855112103
Log(Total Utilities Rentable sf) Walk Score 00068649233 10068885409 069 00029812807 1396033046894 23026759291 00227754146
Log(Total Utilities Rentable sf) of Unfurnished Apartments -00006773222 09993229071 -007 00004273761 1401067188346 -15848386198 01152575495
Log(Total Utilities Rentable sf) Average Apt Unit Size -00003442022 0999655857 -003 00003581401 1425120147852 -09610825805 03381384619
Log(Total Utilities Rentable sf) Age 00048795122 10048914364 049 00040600929 1425855030198 12018227897 02314244716
Log(Total Utilities Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -01198355423 08870663096 -1129 00742421382 1413320388001 -16141176043 01087323819
Log(MampR rentable sf) Intercept -09030689887 04053238148 -5947 0437858541 1384008312652 -20624674504 00410332652
Log(MampR rentable sf) Green Certified (1=yes 0=no)[Yes] 00937424436 10982768413 983 00639155521 1376081716673 14666609392 01447499128
Log(MampR rentable sf) Gym (1=yes 0=no)[Yes] 00037664885 10037735907 038 01036113865 1396450691334 00363520715 09710535435
Log(MampR rentable sf) Pool (1=yes 0=no)[Yes] 01319613595 11410642271 1411 00887446725 719561267791 14869778183 0141389644
Log(MampR rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00521515872 09491849716 -508 01197720975 1428478988157 -04354235112 06639122497
Log(MampR rentable sf) Walk Score 00110131704 10110740386 111 00029197236 1385662208531 37719907631 00002391344
Log(MampR rentable sf) of Unfurnished Apartments -00008849955 09991153959 -009 00004219429 1410140957414 -20974297602 0037740228
Log(MampR rentable sf) Average Apt Unit Size 00000594506 10000594524 001 0000353075 1429981472006 01683796031 08665225748
Log(MampR rentable sf) Age 0007624822 1007653965 077 00039990018 142990029884 19066812998 00585678315
Log(MampR rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00598131349 10616381449 616 00727173027 1406732379184 08225433659 04121598071
Log(Subtotal Maintenance rentable sf) Intercept -07997344997 04494482769 -5506 0489167182 1380935604874 -16348899298 01043496414
Log(Subtotal Maintenance rentable sf) Green Certified (1=yes 0=no)[Yes] 01180969773 11253532398 1254 00707986514 1348907221481 16680681771 00976219515
Log(Subtotal Maintenance rentable sf) Gym (1=yes 0=no)[Yes] 00409351965 10417845921 418 01148796072 1378640116803 03563312718 07221372278
Log(Subtotal Maintenance rentable sf) Pool (1=yes 0=no)[Yes] 01515780559 11636691295 1637 0100780712 617547240206 15040383505 01376688864
Log(Subtotal Maintenance rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -0078076377 09248937833 -751 01331885868 1426567369893 -05862092154 05586613077
Log(Subtotal Maintenance rentable sf) Walk Score 0011889233 10119601909 120 00032614069 1377504918879 36454307183 00003773801
Log(Subtotal Maintenance rentable sf) of Unfurnished Apartments -00008153416 09991849907 -008 00004682078 1398534995511 -17414095506 00838107083
Log(Subtotal Maintenance rentable sf) Average Apt Unit Size 00005083484 10005084776 005 00003930253 1428434249161 12934242295 01979520949
Log(Subtotal Maintenance rentable sf) Age 00104106727 10104650523 105 00044515054 1428449267664 23386858733 00207383998
Log(Subtotal Maintenance rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 02440298206 12763823925 2764 0081177414 1402563601749 30061295196 00031359748
Log(Property Insurance rentable sf) Intercept -08916874806 04099633635 -5900 04516384713 1429624291993 -19743390727 00502702101
Log(Property Insurance rentable sf) Green Certified (1=yes 0=no)[Yes] 01239058141 11319092561 1319 0062692592 1281678143933 19764027959 00502564371
Log(Property Insurance rentable sf) Gym (1=yes 0=no)[Yes] -0003522638 09964835593 -035 01024969537 1314939748594 -0034368221 09726356404
Log(Property Insurance rentable sf) Pool (1=yes 0=no)[Yes] 00227423743 10230029538 230 01040308572 1125700947624 02186118131 08273482928
Log(Property Insurance rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00155809876 10157030041 157 01206677853 1368483458399 01291230096 08974498986
Log(Property Insurance rentable sf) Walk Score 00072977866 10073244804 073 00030353828 1428602075435 24042392705 00174877086
Log(Property Insurance rentable sf) of Unfurnished Apartments -00010061941 09989943119 -010 0000420017 1337858380697 -23956034086 00179774093
Log(Property Insurance rentable sf) Average Apt Unit Size -00006330482 09993671521 -006 00003514502 1338864329416 -18012458048 0073914725
Log(Property Insurance rentable sf) Age 00009661099 10009665767 010 00039921418 1338497494964 02420028921 08091483095
Log(Property Insurance rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -00520208103 09493091112 -507 00749301111 1411273861679 -06942577501 04886618561
Log(Total All Expenses Rentable sf) Intercept 17410862845 57035357214 47035 03946731547 141889623796 44114636723 00000201648
Log(Total All Expenses Rentable sf) Green Certified (1=yes 0=no)[Yes] 01231722438 11310792255 1311 00565275641 1341244163534 21789766772 00310802733
Log(Total All Expenses Rentable sf) Gym (1=yes 0=no)[Yes] 00096244971 10096709615 097 00919378962 1370603130567 01046847658 09167789899
Log(Total All Expenses Rentable sf) Pool (1=yes 0=no)[Yes] 01610294116 11747195186 1747 00846545666 801516751987 19021940341 00607378863
Log(Total All Expenses Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00361842114 09644626121 -355 01071504659 1418739239709 -03376953252 07360919324
Log(Total All Expenses Rentable sf) Walk Score 00087371658 10087754463 088 00026426023 1411809488418 33062734678 00011989895
Log(Total All Expenses Rentable sf) of Unfurnished Apartments -00008720665 09991283137 -009 00003752966 1389800988186 -23236728617 00215934791
Log(Total All Expenses Rentable sf) Average Apt Unit Size -0000155413 0999844599 -002 00003145108 1409449329598 -0494142052 06219751067
Log(Total All Expenses Rentable sf) Age 00015666155 10015678433 016 00035695206 1412387206124 04388868073 06614142124
Log(Total All Expenses Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00157918953 10159172462 159 00657593447 1424551160559 02401467861 08105616925
Log(NOI Rentable sf) Intercept 27416093787 155119295878 145119 049686036 1426328429735 55178669889 0000000157
Log(NOI Rentable sf) Green Certified (1=yes 0=no)[Yes] 00932241108 10977077159 977 00701671113 1292740226257 13286012361 01863200879
Log(NOI Rentable sf) Gym (1=yes 0=no)[Yes] 0111280688 11177085902 1177 0114413579 13320261997 09726178396 03325061802
Log(NOI Rentable sf) Pool (1=yes 0=no)[Yes] -00608871507 0940929417 -591 01107002034 838263437204 -05500184174 05837693269
Log(NOI Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -01393113526 08699571229 -1300 01340931949 1397855428856 -10389144106 03006382455
Log(NOI Rentable sf) Walk Score 00045000262 10045101666 045 0003337636 1423581725818 13482675372 01797136327
Log(NOI Rentable sf) of Unfurnished Apartments -00007116645 09992885887 -007 00004679272 1358400867851 -15208872073 01306124688
Log(NOI Rentable sf) Average Apt Unit Size -00001937801 09998062387 -002 00003921685 1372175013367 -04941245389 06220083144
Log(NOI Rentable sf) Age 00034607088 1003466704 035 00044548378 1376438770548 07768428318 04385844885
Log(NOI Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00488697769 10500835966 501 00828565286 1429949688826 05898120243 0556247504
Concessions rentable sf Intercept 0091580439 10959049266 959 12772069558 1418541020247 00717036801 09429387231
Concessions rentable sf Green Certified (1=yes 0=no)[Yes] 01110697527 11174728508 1175 01814813765 1293641668833 06120173584 05416004511
Concessions rentable sf Gym (1=yes 0=no)[Yes] -05094051331 06008529 -3991 02955403985 1336296409402 -17236395961 00870857294
Concessions rentable sf Pool (1=yes 0=no)[Yes] -00886152984 09151975838 -848 02791864929 69298361986 -03174053928 07518903943
Concessions rentable sf Outdoor Common Area (1=yes 0=no)[Yes] 04576291372 15803228114 5803 03455726285 1408379747117 13242632646 01875606951
Concessions rentable sf Walk Score 00120688741 10121419968 121 00085630896 1409791646097 14094064916 01609170757
Concessions rentable sf of Unfurnished Apartments -00007045588 09992956894 -007 00012075862 1364744404696 -05834438741 05605574922
Concessions rentable sf Average Apt Unit Size -00003193903 09996806607 -003 00010135961 1389703034326 -03151061148 07531537379
Concessions rentable sf Age 00130223218 10131074815 131 00115086772 139464867267 11315220311 02597773256
Concessions rentable sf Building Mix (0=multifamily 1 = mixed-use)[Mixed] -03719888249 06893619462 -3106 02129597676 1426034459287 -17467563435 00828326573
Page 18: AUGUST 21- 23, 2018 • CLEVELAND, OHIO€¦ · Business Case 2.0: New Research Around High Performing Buildings Thursday 23 rd, 2018 10:30am – 12:00pm

Case Studies ndash business impactThese results showing the impact of energy on default risk are clearly meaningful I dont currently consider energy efficiency when making a loan and seeing this makes me think I would want to ask about itrdquo

I would like to apply these findings but would want an easy way to use it A simple score or ratio for energy risk would be good In fact I would be interested to pilot test it

Keith Hanley Silicon Valley Bank

18

Looking Ahead

Looking Ahead ndash our visionTo have energy factors fully and routinely incorporated in commercial mortgage valuation accelerating demand for buildings with lower energy risk

20

Show that energy matters

Develop and pilot

interventions Disseminate

best practices Institutionalize

Analysis of energy impacts

Long term

Case studies on actual mortgage loans

Protocols and tools for lenders and owners

Industry Standards

Scope of current effort

RecommendationsLenders Ask owners to provide info on energy cost range

Account for variations in energy use and energy price Could be done as part of Property Condition Assessment Can reference ASTM standard

Incorporate energy risk factor into underwriting and terms eg Interest rate discount for lower risk

Offer additional loan proceeds for EE investments

Owners Ask lenders to account for energy efficiency when setting mortgage

terms Provide data on energy costs to lender

Historical and anticipated In appraisal andor PCA

21

Thank you

Money Matters Exploring the Financial Impacts of Green Certifications in the Multifamily Rental Sector

Erin A Hopkins PhD CAPS LEED Green AssociateAssistant Professor of Property Management

bull Sample 153 properties from 2 of National Multifamily Housing Councilrsquos 2016 50 Largest Apartment Managers

bull Green-certified 2288 of properties (35 properties)bull Methodology Multiple Regression Analysisbull Controls Location Fitness Center Pool Outdoor Common Area Walk

Score of Unfurnished Apartments Average Apartment Unit Size Age Building Mix

bull Limitations Building class not directly taken into account

Overview of Research

Certifications Represented in Sample

Austin Energy Green Buildingreg (AEGB)

Rating System(3)

ENERGY STARreg

(1)

Florida Green Building Coalition

(FGBC)(1)

GreenPoint Rated(4)

LEEDreg

(16)

National Green Building Standardtrade

(NGBS)(11)

Properties by City

2

4

2 2 21 1

3

1 1 12 2

1 1 1

6

1 1

8

11

4

6

14

3

1

19

3

1 1

7

43

2

9

18

2 2

0

2

4

6

8

10

12

14

16

18

20

Summary Statistics of City Datan=153

Summary Satistics of City Data Green Bldgs Summary Satistics of City Data Non-Green Comparables

Descriptive

97

71

100

31

89

69

93

24

0

20

40

60

80

100

120

Fitness Center Pool Outdoor Common Area Mixed-Use Property

Summary Statistics of Green vs Non-Green Propertiesn = 153

Green Non-Green

Descriptive

73228

866

2011

74

259

894

2003

0

500

1000

1500

2000

2500

Walk Score Average Number of Units Average Apt Unit Size (sf) Age

Summary Statistics of Green vs Non-Green Properties

n = 153

Green Non-Green

Findings

Total Rents Collected1047

Total Maintenance1254

Property Insurance1319

Total Expenses1311

Higher rents and expenses

Financial Impacts of Green

Dependent Variable Per Square Foot Per Apartment Per PropertyTotal Rents Collected 247$ 2189$ 551683$ Subtotal Maintenance 020$ 178$ 44843$ Property Insurance 005$ 42$ 10601$ Total Expenses 112$ 990$ 249535$

Coefficients Standard Errors

Tables

Summary of Green Impacts

Summary Table

Discussion

bull Assume efficient operations will offset the higher rent

bull Philanthropic motivesbull Prestige motivesbull Green buildings tend to be newermore

likely to offer the more sought-after amenities and finishes

bull Tend to be in higher-income areaslikely have higher rents

Different motivations for paying higher rent may be in

play

Discussion

Higher Operating Expenses a Surprise

Does not align with much of the existing researchhellipbut no research on effects of green certification on total operating expenses within multifamily rental sector

Many of the certifications represented in this study focus on the design phase of the property vs the operations and maintenance phase

And although promotion of sustainability is on the rise in the multifamily housing sector staff may remain unfamiliar with the unique operations and maintenance of green

buildings

Final Thoughts

Apartment homes represent $13 trillion to the US economy and 5 million new rental households are expected by 2023 (National Multifamily Housing Council 2015)

Upfront capital constraints regulatory issues knowledge limitations and marketing concerns may diminish the attractiveness of multifamily rental green building

certification if not properly managed

Most studies focus on office sector andor strictly rents or property value

This study begins to look at the multifamily rental sector and offer a more comprehensive analysis

Further research is needed with larger datasets to understand effects of green certification on income statement components in the apartment industry as NOI

ultimately determines property market valueOptimism that this study can be the impetus for further research contributions on the

financial environmental and resident satisfaction impacts of green practices and certifications on the multifamily rental sector

Contact informationErin A Hopkinserinz1vtedu

Acknowledgementsbull Todd Feist Sustainability Program Manager at The Institute of

Real Estate Management (IREMreg) for his assistance with this research project

bull Yardi and IREMreg for the grant awarded to support this researchbull The two property management companies for sharing their data

BUILDING PERFORMANCE

UNLOCKINGVALUE

New DOE-driven Research Around High Performing Buildings

AUGUST 23 2018

ANDREW WHITEASSOCIATE MANAGERawhiteretechadvisorscom

2015-2016 bull Research design working group pilot study data lab

2017 bull Connect to Real Estate Research Institute (RERI) Literature review and gap analysis

2018 bull Research agenda request for proposals research project selection and execution

Context Setting ndash DOE Research EffortWhat are the impacts of energy efficiency and high-performance building

features on financial performance of commercial real estate

RERIrsquos mission is to encourage and reward research on real estate as an investment and as an asset class that is both academically rigorous and of value to the institutional real estate investment profession In addition RERI serves to provide a forum through which the real estate academic professional and regulatory communities can interact facilitating the exchange of insights amongst these stakeholders

RERI Overview

Sponsors

Build upon DOErsquos Review of Studies in the Market

bull Focus explicitly on peer-reviewed papers Gap analysis of existing research to

identifybull Questions that have already been

sufficiently provenbull Holes in existing body of research

Academic Inputbull Guidance on which studies to includebull Suggestions for how to conduct analysis

Literature Review Objectives

Literature Review Results

LEED

ENER

GY

ST

AR

labe

l

ENER

GY

ST

AR

sc

ore

Ener

gy u

se

BR

EEA

M

Ener

gy

Perf

orm

anc

e Cer

tific

ates

(U

K)

BO

MA

B

EST

Wal

kabi

lity

Non

-ene

rgy

gree

n fe

atur

es

Oth

er

Rent 20 18 1 2 2 2 1 1 1Rent concessions 1 1 1Sales price 9 11 1 1 1 1Assessed value 2 2Market value 1 2 1 2 1Occupancy 10 9 1Lease renewals 1 1 1Service charge 1Operating cost 2 3Energy cost 2 3Tenant satisfaction 1 1 1Sales time 1 1Default rate 2 1Capitalization rate 1 2 2 1Net operating income 1 1 1Loan to value ratio 1 1Debt service coverage ratio 1 1Worker productivity 1 1Other 5 4 1 4 2 2

There is considerable evidence that green building certifications correlate with increased economic value primarily via higher rents and sales prices

bull How do we move beyond certification to analyze performancebull Correlation vs Causation

bull What is driving added value Is it green features and efficiency the green labels themselves or other desirable features often included in certified buildings

Panel studies could help reduce some of the uncertainty and noise Full results presented at ACEEE Summer Study

bull Raising the Rent Premium Moving Green Building Research Beyond Certifications and Rent

bull Cindy Zhu Andrew White Paul Mathew Jeff Deason Philip Coleman

Literature Review Results

Research Agenda Core QuestionldquoHow does ltenergygreen metricgt affect ltfinancial value metricgtrdquo

EnergyGreen Metric

Site energy use or EUI

Source energy use or EUI

Energy cost or costsf

ENERGY STAR score

ENERGY STAR label

Green Building Certification (LEED BOMA 360)

Green Building Certification level (eg LEED Silver Gold)

Financial Value Metric

VacancyOccupancy Sales Price

Leasing Velocity (absorption speed of sales leasing)

Regulatory amp Compliance Risk

Tenant Renewals Insurance (rates ability)

Tenant Satisfaction Default Risk

Rental Income and Rent Concessions Debt Service Coverage Ratio

Marketing Costs Access to Funding

Utility Costs Maintenance OpEx Interest Rates

Obsolescence Reserves

Capitalization Rates

12 proposals received 5 projects selected Criteria

bull Department of Energy goals

bull Impact on Commercial Real Estate (CRE) Industry

bull Feasibility and Interest

bull Quality and Validity

Proposal Reviews

Jim Clayton Avis Devine (York University) and Rogier Holtermans(University of Guelph) Analyzing four types of energy

efficiency interventions on financial components that impact property-level NOI

bull How do interventions impact different aspects of building operations and their subsequent financial impact

Beyond Environmental Building Certification The Impact of Environmental Interventions on Commercial Real Estate Operations

Piet Eichholtz and Nils Kok (Maastricht University) and RogierHoltermans (University of Guelph) Three key questions

bull How is environmental building certification related to commercial building energy consumption

bull How does aging affect the energy consumption of the commercial building stock

bull To what extent do specific energy efficiency investments affect energy consumption in commercial real estate

The Dynamics of Energy Consumption in Commercial Real Estate

Sofia Dermisi Chris Lee and YoungjinChoe (University of Washington) Exploring the effect of disclosure

policies on office building marketability while assessing potential links between market performance of sustainable assets

bull Before and after the disclosure policies while considering market cycles

bull Before and after ENERGY STAR andor LEED certification

Markets included San Francisco Washington DC

Effect of Energy Benchmarking and Disclosure on Office Building Marketability

Dirk Brounen (Tilburg University) and Gianluca Marcato (Reading University) Analyzing the adoption of GRESB within the public real estate markets and

predicting a potential impact of GRESB scores on REIT returns

Sustainable Insights and Public Real Estate Performance GRESB Effects in REIT Markets

Constantine Kontokosta (New York University) Franz Fuerst(Cambridge University) Gary Pivo (University of Arizona) amp Jacob Sagi (UNC Chapel Hill) Utilizing NYC data to empirically model

bull the spread between the premium for labeled (energy efficient) buildings and the cost to retrofit an under-performing building to meet the same standard which will allow us to understand how much of the observed premium is attributable to energy efficiency and how much can be assigned to other perceived benefits (marketing construction quality etc)

bull the hurdle rate for energy retrofit investments using actual audit data and permitted renovation work

Estimating Office and Residential Building Energy Retrofit Hurdle Rates and Risk Arbitrage in Energy Efficiency Investments

Collecting data for continued Data Lab analysis Presenting Research findings

bull Interim research results ndash IPC Research Symposium (October)bull Greenbuild Session (November)bull RERI Research Conference (April)bull Final research results ndash Better Buildings Webinars Summit 2019 (TBA)

Work with DOE case study and data analysis opportunities abound

Next Steps

Paul Mathew

Lawrence Berkeley National Laboratorypamathewlblgov

Paulo Issler

University of California Berkeleypauloisslerberkeleyedu

Erin Hopkins

Virginia Techerinz1vtedu

Andrew White

RE Tech Advisorsawhiteretechadvisorscom

Contact Info

  • Slide Number 1
  • Business Case 20 New Research Around High Performing Buildings
  • Panelists
  • Energy and Default Risk in Commercial Mortgages
  • Paulo Issler
  • Acknowledgements
  • The link between energy and CRE mortgages
  • Approach Impact of energy on default rate
  • Default risk and source EUI (cont)
  • Default risk and source EUI
  • Default risk and source EUI (cont)
  • Default risk and source EUI (cont)
  • What are the impacts on specific loans
  • Case Studies
  • Denver Office ndash energy use and default risk
  • Denver Office ndash energy price and default risk
  • Case Studies ndash summary of risks impacts
  • Case Studies ndash business impact
  • Looking Ahead
  • Looking Ahead ndash our vision
  • Recommendations
  • Slide Number 22
  • Money Matters Exploring the Financial Impacts of Green Certifications in the Multifamily Rental SectorErin A Hopkins PhD CAPS LEED Green AssociateAssistant Professor of Property Management
  • Overview of Research
  • Certifications Represented in Sample
  • Properties by City
  • Descriptive
  • Descriptive
  • Findings
  • Financial Impacts of Green
  • Discussion
  • Discussion
  • Final Thoughts
  • Slide Number 34
  • Slide Number 35
  • Context Setting ndash DOE Research Effort
  • RERI Overview
  • Literature Review Objectives
  • Literature Review Results
  • Literature Review Results
  • Research Agenda Core Question
  • Proposal Reviews
  • Beyond Environmental Building Certification The Impact of Environmental Interventions on Commercial Real Estate Operations
  • The Dynamics of Energy Consumption in Commercial Real Estate
  • Effect of Energy Benchmarking and Disclosure on Office Building Marketability
  • Sustainable Insights and Public Real Estate Performance GRESB Effects in REIT Markets
  • Estimating Office and Residential Building Energy Retrofit Hurdle Rates and Risk Arbitrage in Energy Efficiency Investments
  • Next Steps
  • Contact Info
Y Term ~Bias Estimate EXP estimate Practical Interpretation increasedecrease Std Error DFDen t Ratio Probgt|t| Log(Vacancies amp Rent Loss rentable sf) Log(Total Rents Collected rentable sf) Log(Total Actual Collections rentable sf) Log(Management Fee rentable sf) Log(Total Utilities Rentable sf) Log(MampR rentable sf) Log(Subtotal Maintenance rentable sf) Log(Property Insurance rentable sf) Log(Total All Expenses Rentable sf) Log(NOI Rentable sf) Concessions rentable sf
Log(Vacancies amp Rent Loss rentable sf) Intercept 00893029328 10934118365 934 06116337119 1083785495375 01460072116 08841869197 Green Certified (1=yes 0=no)[Yes] -00318 01047 00991
Log(Vacancies amp Rent Loss rentable sf) Green Certified (1=yes 0=no)[Yes] -0031825668 09686754385 -313 009164153 139931853592 -03472843369 07288994904 Gym (1=yes 0=no)[Yes] 01060 00708 00767
Log(Vacancies amp Rent Loss rentable sf) Gym (1=yes 0=no)[Yes] 01007730854 11060256399 1060 01479591517 1412043780621 0681087207 0496931725 Pool (1=yes 0=no)[Yes] 01126 00089 00131
Log(Vacancies amp Rent Loss rentable sf) Pool (1=yes 0=no)[Yes] 01125884395 11191712315 1192 0113345701 506840641957 09933190097 032527325 Outdoor Common Area (1=yes 0=no)[Yes] 02673 -00803 -00764
Log(Vacancies amp Rent Loss rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 02672618233 13063824429 3064 01690835398 1429144230275 15806495624 01161688791 Walk Score 00102 00065 00066
Log(Vacancies amp Rent Loss rentable sf) Walk Score 00101642302 10102160615 102 00040763935 1219632686439 24934369735 00139912712 of Unfurnished Apartments -00003 -00009 -00008
Log(Vacancies amp Rent Loss rentable sf) of Unfurnished Apartments -0000250981 09997490505 -003 00006011213 142449410245 -04175214322 06769256723 Average Apt Unit Size -00003 -00002 -00002
Log(Vacancies amp Rent Loss rentable sf) Average Apt Unit Size -00002575258 09997425074 -003 00004990119 1315989429881 -05160713681 06066705884 Age -00026 00008 00015
Log(Vacancies amp Rent Loss rentable sf) Age -00026152008 09973882158 -026 00056263988 1391583522195 -04648090107 06427946925 Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00099 00043 00252
Log(Vacancies amp Rent Loss rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00099001013 10099492694 099 0100821633 1384002310718 00981942166 09219201454
Log(Total Rents Collected rentable sf) Intercept 30195696974 204824761253 194825 04164909532 1420770663705 72500246992 0
Log(Total Rents Collected rentable sf) Green Certified (1=yes 0=no)[Yes] 00996165255 11047471944 1047
Hopkins Erin Hopkins Erincant provide a confidencd interval for it
00590542761 1286416575023 16868638818 0094053065
Log(Total Rents Collected rentable sf) Gym (1=yes 0=no)[Yes] 00684081888 10708023088 708 0096210834 1330244953516 07110237581 04783143732
Log(Total Rents Collected rentable sf) Pool (1=yes 0=no)[Yes] 00088712036 10089106694 089 00916333982 708572236354 00968119025 09231490817
Log(Total Rents Collected rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00836597449 09197441505 -803 01126005752 1404546011941 -07429779537 04587359136
Log(Total Rents Collected rentable sf) Walk Score 0006479206 10065002414 065 0002794287 1413201347208 23187331419 00218436949
Log(Total Rents Collected rentable sf) of Unfurnished Apartments -00008678845 0999132492 -009 00003932429 1359586026848 -22069932213 00289920945
Log(Total Rents Collected rentable sf) Average Apt Unit Size -00002078918 09997921298 -002 00003300088 1382568544162 -06299582685 05297616269
Log(Total Rents Collected rentable sf) Age 00008364704 10008368204 008 00037477419 1387794745176 02231931757 08237133506
Log(Total Rents Collected rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00042999624 10043092206 043 0069466499 142786243042 00618998008 09507291881
Log(Total Actual Collections rentable sf) Intercept 30681072891 215011686418 205012 04070110501 1415072794017 75381424868 0
Log(Total Actual Collections rentable sf) Green Certified (1=yes 0=no)[Yes] 00944491888 10990533175 991 00578900924 1291837028308 16315259643 01052148631
Log(Total Actual Collections rentable sf) Gym (1=yes 0=no)[Yes] 00739127176 10767128233 767 0094247393 1335821297113 07842415071 04342868782
Log(Total Actual Collections rentable sf) Pool (1=yes 0=no)[Yes] 00130418887 10131273051 131 00885804441 654593026021 01472321442 08834013324
Log(Total Actual Collections rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00794248992 0923647384 -764 01101507414 1410305976559 -07210564195 04720684016
Log(Total Actual Collections rentable sf) Walk Score 00065530115 10065745295 066 00027272037 14047408887 24028316857 00175745575
Log(Total Actual Collections rentable sf) of Unfurnished Apartments -0000833078 09991672689 -008 00003850262 1365168778586 -21636916411 00322285543
Log(Total Actual Collections rentable sf) Average Apt Unit Size -00002169447 09997830788 -002 00003233576 1393662972101 -06709126047 05033865944
Log(Total Actual Collections rentable sf) Age 00015178151 10015189676 015 0003670824 1398532082324 04134807595 06798877496
Log(Total Actual Collections rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00249154485 10252284322 252 0067842812 1423468871242 03672525904 07139760316
Log(Management Fee rentable sf) Intercept -02128803278 08082528568 -1917 04254329778 585619088893 -0500385111 06186792644
Log(Management Fee rentable sf) Green Certified (1=yes 0=no)[Yes] 0019865513 10200641454 201 00593086525 1354977267554 03349513461 07381797603
Log(Management Fee rentable sf) Gym (1=yes 0=no)[Yes] -00082052627 09918283086 -082 00958032958 1386068833723 -00856469772 09318706455
Log(Management Fee rentable sf) Pool (1=yes 0=no)[Yes] 00174275629 10175803089 176 00771880661 202180965349 02257805358 08236388274
Log(Management Fee rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00153191452 10154370848 154 01103651216 1423896402644 01388042255 08898009734
Log(Management Fee rentable sf) Walk Score 00070459229 10070708039 071 00028008303 805559990921 25156550566 0013868745
Log(Management Fee rentable sf) of Unfurnished Apartments -0001358177 09986427449 -014 00003916726 1421224837061 -34676335479 00006950146
Log(Management Fee rentable sf) Average Apt Unit Size -00005130214 09994871101 -005 00003375961 1007585612206 -15196307445 0131735624
Log(Management Fee rentable sf) Age 00013613923 10013623194 014 00037151697 1277713043957 03664414822 07146417588
Log(Management Fee rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -00674463479 09347778721 -652 00657081953 1299283630266 -10264525997 03065854809
Log(Total Utilities Rentable sf) Intercept -03748562337 06873880949 -3126 04464274077 1402143832266 -08396801522 04025171642
Log(Total Utilities Rentable sf) Green Certified (1=yes 0=no)[Yes] 00873163337 10912418217 912 0064576715 1358457024729 13521334071 01785794114
Log(Total Utilities Rentable sf) Gym (1=yes 0=no)[Yes] 01175979311 11247917766 1248 01048349264 1384172144229 11217438221 02639135776
Log(Total Utilities Rentable sf) Pool (1=yes 0=no)[Yes] 00115680134 10116351816 116 00928512423 72633370166 01245865221 09011950626
Log(Total Utilities Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00222539972 10225034645 225 01216524447 1425571484619 01829309493 0855112103
Log(Total Utilities Rentable sf) Walk Score 00068649233 10068885409 069 00029812807 1396033046894 23026759291 00227754146
Log(Total Utilities Rentable sf) of Unfurnished Apartments -00006773222 09993229071 -007 00004273761 1401067188346 -15848386198 01152575495
Log(Total Utilities Rentable sf) Average Apt Unit Size -00003442022 0999655857 -003 00003581401 1425120147852 -09610825805 03381384619
Log(Total Utilities Rentable sf) Age 00048795122 10048914364 049 00040600929 1425855030198 12018227897 02314244716
Log(Total Utilities Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -01198355423 08870663096 -1129 00742421382 1413320388001 -16141176043 01087323819
Log(MampR rentable sf) Intercept -09030689887 04053238148 -5947 0437858541 1384008312652 -20624674504 00410332652
Log(MampR rentable sf) Green Certified (1=yes 0=no)[Yes] 00937424436 10982768413 983 00639155521 1376081716673 14666609392 01447499128
Log(MampR rentable sf) Gym (1=yes 0=no)[Yes] 00037664885 10037735907 038 01036113865 1396450691334 00363520715 09710535435
Log(MampR rentable sf) Pool (1=yes 0=no)[Yes] 01319613595 11410642271 1411 00887446725 719561267791 14869778183 0141389644
Log(MampR rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00521515872 09491849716 -508 01197720975 1428478988157 -04354235112 06639122497
Log(MampR rentable sf) Walk Score 00110131704 10110740386 111 00029197236 1385662208531 37719907631 00002391344
Log(MampR rentable sf) of Unfurnished Apartments -00008849955 09991153959 -009 00004219429 1410140957414 -20974297602 0037740228
Log(MampR rentable sf) Average Apt Unit Size 00000594506 10000594524 001 0000353075 1429981472006 01683796031 08665225748
Log(MampR rentable sf) Age 0007624822 1007653965 077 00039990018 142990029884 19066812998 00585678315
Log(MampR rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00598131349 10616381449 616 00727173027 1406732379184 08225433659 04121598071
Log(Subtotal Maintenance rentable sf) Intercept -07997344997 04494482769 -5506 0489167182 1380935604874 -16348899298 01043496414
Log(Subtotal Maintenance rentable sf) Green Certified (1=yes 0=no)[Yes] 01180969773 11253532398 1254 00707986514 1348907221481 16680681771 00976219515
Log(Subtotal Maintenance rentable sf) Gym (1=yes 0=no)[Yes] 00409351965 10417845921 418 01148796072 1378640116803 03563312718 07221372278
Log(Subtotal Maintenance rentable sf) Pool (1=yes 0=no)[Yes] 01515780559 11636691295 1637 0100780712 617547240206 15040383505 01376688864
Log(Subtotal Maintenance rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -0078076377 09248937833 -751 01331885868 1426567369893 -05862092154 05586613077
Log(Subtotal Maintenance rentable sf) Walk Score 0011889233 10119601909 120 00032614069 1377504918879 36454307183 00003773801
Log(Subtotal Maintenance rentable sf) of Unfurnished Apartments -00008153416 09991849907 -008 00004682078 1398534995511 -17414095506 00838107083
Log(Subtotal Maintenance rentable sf) Average Apt Unit Size 00005083484 10005084776 005 00003930253 1428434249161 12934242295 01979520949
Log(Subtotal Maintenance rentable sf) Age 00104106727 10104650523 105 00044515054 1428449267664 23386858733 00207383998
Log(Subtotal Maintenance rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 02440298206 12763823925 2764 0081177414 1402563601749 30061295196 00031359748
Log(Property Insurance rentable sf) Intercept -08916874806 04099633635 -5900 04516384713 1429624291993 -19743390727 00502702101
Log(Property Insurance rentable sf) Green Certified (1=yes 0=no)[Yes] 01239058141 11319092561 1319 0062692592 1281678143933 19764027959 00502564371
Log(Property Insurance rentable sf) Gym (1=yes 0=no)[Yes] -0003522638 09964835593 -035 01024969537 1314939748594 -0034368221 09726356404
Log(Property Insurance rentable sf) Pool (1=yes 0=no)[Yes] 00227423743 10230029538 230 01040308572 1125700947624 02186118131 08273482928
Log(Property Insurance rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00155809876 10157030041 157 01206677853 1368483458399 01291230096 08974498986
Log(Property Insurance rentable sf) Walk Score 00072977866 10073244804 073 00030353828 1428602075435 24042392705 00174877086
Log(Property Insurance rentable sf) of Unfurnished Apartments -00010061941 09989943119 -010 0000420017 1337858380697 -23956034086 00179774093
Log(Property Insurance rentable sf) Average Apt Unit Size -00006330482 09993671521 -006 00003514502 1338864329416 -18012458048 0073914725
Log(Property Insurance rentable sf) Age 00009661099 10009665767 010 00039921418 1338497494964 02420028921 08091483095
Log(Property Insurance rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -00520208103 09493091112 -507 00749301111 1411273861679 -06942577501 04886618561
Log(Total All Expenses Rentable sf) Intercept 17410862845 57035357214 47035 03946731547 141889623796 44114636723 00000201648
Log(Total All Expenses Rentable sf) Green Certified (1=yes 0=no)[Yes] 01231722438 11310792255 1311 00565275641 1341244163534 21789766772 00310802733
Log(Total All Expenses Rentable sf) Gym (1=yes 0=no)[Yes] 00096244971 10096709615 097 00919378962 1370603130567 01046847658 09167789899
Log(Total All Expenses Rentable sf) Pool (1=yes 0=no)[Yes] 01610294116 11747195186 1747 00846545666 801516751987 19021940341 00607378863
Log(Total All Expenses Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00361842114 09644626121 -355 01071504659 1418739239709 -03376953252 07360919324
Log(Total All Expenses Rentable sf) Walk Score 00087371658 10087754463 088 00026426023 1411809488418 33062734678 00011989895
Log(Total All Expenses Rentable sf) of Unfurnished Apartments -00008720665 09991283137 -009 00003752966 1389800988186 -23236728617 00215934791
Log(Total All Expenses Rentable sf) Average Apt Unit Size -0000155413 0999844599 -002 00003145108 1409449329598 -0494142052 06219751067
Log(Total All Expenses Rentable sf) Age 00015666155 10015678433 016 00035695206 1412387206124 04388868073 06614142124
Log(Total All Expenses Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00157918953 10159172462 159 00657593447 1424551160559 02401467861 08105616925
Log(NOI Rentable sf) Intercept 27416093787 155119295878 145119 049686036 1426328429735 55178669889 0000000157
Log(NOI Rentable sf) Green Certified (1=yes 0=no)[Yes] 00932241108 10977077159 977 00701671113 1292740226257 13286012361 01863200879
Log(NOI Rentable sf) Gym (1=yes 0=no)[Yes] 0111280688 11177085902 1177 0114413579 13320261997 09726178396 03325061802
Log(NOI Rentable sf) Pool (1=yes 0=no)[Yes] -00608871507 0940929417 -591 01107002034 838263437204 -05500184174 05837693269
Log(NOI Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -01393113526 08699571229 -1300 01340931949 1397855428856 -10389144106 03006382455
Log(NOI Rentable sf) Walk Score 00045000262 10045101666 045 0003337636 1423581725818 13482675372 01797136327
Log(NOI Rentable sf) of Unfurnished Apartments -00007116645 09992885887 -007 00004679272 1358400867851 -15208872073 01306124688
Log(NOI Rentable sf) Average Apt Unit Size -00001937801 09998062387 -002 00003921685 1372175013367 -04941245389 06220083144
Log(NOI Rentable sf) Age 00034607088 1003466704 035 00044548378 1376438770548 07768428318 04385844885
Log(NOI Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00488697769 10500835966 501 00828565286 1429949688826 05898120243 0556247504
Concessions rentable sf Intercept 0091580439 10959049266 959 12772069558 1418541020247 00717036801 09429387231
Concessions rentable sf Green Certified (1=yes 0=no)[Yes] 01110697527 11174728508 1175 01814813765 1293641668833 06120173584 05416004511
Concessions rentable sf Gym (1=yes 0=no)[Yes] -05094051331 06008529 -3991 02955403985 1336296409402 -17236395961 00870857294
Concessions rentable sf Pool (1=yes 0=no)[Yes] -00886152984 09151975838 -848 02791864929 69298361986 -03174053928 07518903943
Concessions rentable sf Outdoor Common Area (1=yes 0=no)[Yes] 04576291372 15803228114 5803 03455726285 1408379747117 13242632646 01875606951
Concessions rentable sf Walk Score 00120688741 10121419968 121 00085630896 1409791646097 14094064916 01609170757
Concessions rentable sf of Unfurnished Apartments -00007045588 09992956894 -007 00012075862 1364744404696 -05834438741 05605574922
Concessions rentable sf Average Apt Unit Size -00003193903 09996806607 -003 00010135961 1389703034326 -03151061148 07531537379
Concessions rentable sf Age 00130223218 10131074815 131 00115086772 139464867267 11315220311 02597773256
Concessions rentable sf Building Mix (0=multifamily 1 = mixed-use)[Mixed] -03719888249 06893619462 -3106 02129597676 1426034459287 -17467563435 00828326573
Y Term Practical Interpretation increasedecrease Probgt|t| Total Rents Collected Subtotal Maintenance Property Insurance Total Expenses
Log(Total Rents Collected rentable sf) Green Certified (1=yes 0=no)[Yes] 1047
Hopkins Erin Hopkins Erincant provide a confidencd interval for it
009 130837635934 13311489362 01847683215 67633617021
Log(Subtotal Maintenance rentable sf) Green Certified (1=yes 0=no)[Yes] 1254 010 267662568114 08839769656 0489370035 133484365708
Log(Property Insurance rentable sf) Green Certified (1=yes 0=no)[Yes] 1319 005 44887430941 07758149459 02417429373 41261056301
Log(Total All Expenses Rentable sf) Green Certified (1=yes 0=no)[Yes] 1311 003 103066299601 12390720963 00474343371 5067818194
206907297628 2385711159 02072356932 9194606526
318766961061 22633758919 04452208547 128154919371
92461669878 09545425866 01280485733 38832017239
143925847783 15966970999 02187893202 54018796992
176714125561 02006495648 02876780533 58992020575
232897515382 0726170332 00787094673 69517596041
Non-green sf average Financial Green Impact sf Financial green impact differencesf Green impactapt Green impactproperty 51780910259 05203453537 00494304264 22609306646
178353784788 17547710996 02048626598 95961490345
Total Rents Collected sf 1047 2356 2603 $ 247 $ 2189 $ 551683 113769814112 12206875575 03432049607 118156743193
Subtotal Maintenance sf 1254 160 180 $ 020 $ 178 $ 44843 301239240258 10561596849 0204970258 110903994641
Property Insurance sf 1319 036 041 $ 005 $ 42 $ 10601 918584487 08376649832 00914663991 4146546939
Total Expenses sf 1311 852 963 $ 112 $ 990 $ 249535 265183769576 19294929362 03500602344 108447158033
226055903548 13557897255 03988791741 10971207244
334894587007 17970717884 05122599181 124640467569
5542518821 31394328066 04875650977 200668786372
112655732059 13445692884 02031297086 43995867235
129139526152 1168069688 00518980213 4651511283
Avg Apt Size Avg of Units 151098478261 13975 02004130435 51873478261
192155046737 21015937064 02616549091 8357602264
887 252 514840434082 52766375656 02375463267 174375582672
81421971535 06694487849 00899424521 2748686222
30246817244 21594341279 03308639536 97277207077
488523197409 27727612187 0646599696 130752346177
318750561687 38903340576 03852711795 142409683793
310384048163 43119745565 03335824966 138846874251
Green Certification Impacts 48578215663 0350218077 03095574205 23695139998
Dependent Variable Per Square Foot Per Apartment Per Property 192237574111 13374121765 02053242615 84027476689
Total Rents Collected $ 247 $ 2189 $ 551683 62979912788 05343191729 00816289996 45390243161
Subtotal Maintenance $ 020 $ 178 $ 44843 148378959661 14651715909 02004049722 80900580942
Property Insurance $ 005 $ 42 $ 10601 196798863889 11267176542 02499920663 90266351433
Total Expenses $ 112 $ 990 $ 249535 281508617823 09686995581 01118170881 119863342059
58584849751 0106864586 04187933949 44180073736
126756167712 1265684516 02796423029 87538414144
176550549412 24957340254 02343899179 88904473415
252421786235 28063734042 03142238564 133776179357
191875932907 13637043757 03440324697 987034902
159508092934 13109374847 02091697013 98967206196
342739845467 09614092295 03929892961 129755936769
192510355167 32804720611 01743191858 134560085596
257829360401 13666691797 01527100011 56329812754
358622391559 14251973427 03437553732 101098436889
217744157919 24046486586 01864745418 68711016642
222112557003 22022148788 07879755849 97807110765
202535763689 04548110217 10003436751 127886698915
155879815194 23816051158 04816227091 119033557201
11066078843 23413202706 06413902496 81812176347
151924709838 18873401649 05711000232 105403544539
163604010853 16052949068 02714509557 82030431823
133974400047 11018949984 03560839935 59096477943
133528448829 13647819036 02538331588 66159357367
187400008959 16889788117 030870974 115752907975
155246293804 18308314258 03852380906 116657595614
34082816218 05447090935 09838411173 13641308574
201220131342 11192465065 03188344246 93786154242
139108532616 13313944086 03887737775 69698295902
191656858207 15717927807 06002115982 119380046581
200921599083 12597596226 03267106334 82474085087
57536742874 00453219212 00300766262 10569757217
120548294116 11607892527 03275736725 74435143659
123188534664 1404028789 03510968138 78762080781
59543029729 0899713372 01652374748 28143456117
144215639215 19193238703 02899837711 67370054173
340046684831 19619729415 04325060698 120608464163
208244777176 28183367899 037 73104355304
234349752613 19432301154 0351134881 107484594815
136370903402 17029933791 01989576534 50899930579
149968383478 14209793679 02735642323 63813718869
81145819519 0920766851 00474564037 30674168785
226307446224 12529424404 02036192613 69235920453
132787305462 08047482453 01232346659 41808605432
251519090044 21798380428 0376480317 80396623551
492269138212 12196979039 02981674812 128316943664
107177195916 08016374211 0113808252 40618650625
128238528886 10751217142 01843492552 6476830365
57582611557 11908427448 0874334536 134004066235
43835651097 34822540694 03904989384 146763800425
205787355386 1429219053 02624404931 5321754079
463148430769 07709353846 06150738462 101617384615
377949548611 28670972222 08296944444 109743576389
360087564176 03501711352 18551055334 110041072447
18371979614 18232783153 07267294459 61184870906
678035276363 13443501226 10431616676 167533484248
56073359244 10138647576 01591318768 51440832304
189431314891 05101557395 03677787459 41010945328
383550342095 23244425576 04086557393 98151764619
115544349685 03310482653 037 40344851625
7552318246 0955023726 01241945851 24368780848
133083101881 19451300341 00938801919 48731378614
122308363087 13760780005 01439989014 45100624828
84908269322 10857071617 01155797799 36082570734
263116048067 10733627163 041902582 60372732395
76183752731 09621126305 01069925907 26170373239
172494454001 11781600332 03919686814 59016193131
342076422068 22741368431 03165622465 73557085549
215534567901 1485497076 02210396361 49118778428
314593058927 23798916958 02751353803 121998559501
586535191691 21029046354 02109026171 91979074439
138093310078 14595490221 02142269839 44286283792
227203645682 04584630891 05737147639 93344680527
572754455737 17713614269 01642228739 92545561671
60603870458 04541110154 01180884676 15902125521
358781017266 33847643857 06854022643 139200146946
342079216629 24477703832 0463059603 67166143833
651201231187 51019950176 12529595849 222094150831
369798669702 21700816928 0444474205 101410502507
421838575952 28823013788 05443272608 151399739597
626095189209 20826275416 04947814184 184651096472
214882899762 25034709712 06359683889 109534721722
274037120739 26718517094 037 67504928595
252667703737 25588590114 05379535858 109041874345
59253832495 01099622961 04620367393 19262874847
150862851538 18053109961 07398729558 71488607075
111196959019 00928417366 037 09427894164
667360269858 07921160191 02989609494 104670639024
2356 160 036 852
Log(Vacancies amp Rent Loss rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified -00318 00916 -00313 07289
Fitness Center 01008 01480 01060 04969
Pool 01126 01133 01192 03253
Outdoor Common Area 02673 01691 03064 01162
Walk Score 00102 00041 00102 00140
of Unfurnished Apartments -00003 00006 -00003 06769
Average Apt Unit Size -00003 00005 -00003 06067
Age -00026 00056 -00026 06428
Building Mix 00099 01008 00099 09219
Note R2 = 645
Log(Total Rents Collected rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00996 00591 01047 00941
Fitness Center 00684 00962 00708 04783
Pool 00089 00916 00089 09231
Outdoor Common Area -00837 01126 -00803 04587
Walk Score 00065 00028 00065 00218
of Unfurnished Apartments -00009 00004 -00009 00290
Average Apt Unit Size -00002 00003 -00002 05298
Age 00008 00037 00008 08237
Building Mix 00043 00695 00043 09507
Note R2 = 3318
Log(Total Actual Collections rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00944 00579 00991 01052
Fitness Center 00739 00942 00767 04343
Pool 00130 00886 00131 08834
Outdoor Common Area -00794 01102 -00764 04721
Walk Score 00066 00027 00066 00176
of Unfurnished Apartments -00008 00004 -00008 00322
Average Apt Unit Size -00002 00003 -00002 05034
Age 00015 00037 00015 06799
Building Mix 00249 00678 00252 07140
Note R2 = 3219
Log(Management Fee rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00199 00593 00201 07382
Fitness Center -00082 00958 -00082 09319
Pool 00174 00772 00176 08236
Outdoor Common Area 00153 01104 00154 08898
Walk Score 00070 00028 00071 00139
of Unfurnished Apartments -00014 00004 -00014 00007
Average Apt Unit Size -00005 00003 -00005 01317
Age 00014 00037 00014 07146
Building Mix -00674 00657 -00652 03066
Note R2 = 1697
Log(Total Utilities Rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00873 00646 00912 01786
Fitness Center 01176 01048 01248 02639
Pool 00116 00929 00116 09012
Outdoor Common Area 00223 01217 00225 08551
Walk Score 00069 00030 00069 00228
of Unfurnished Apartments -00007 00004 -00007 01153
Average Apt Unit Size -00003 00004 -00003 03381
Age 00049 00041 00049 02314
Building Mix -01198 00742 -01129 01087
Note R2 = 2171
Log(MampR rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00937 00639 00983 01447
Fitness Center 00038 01036 00038 09711
Pool 01320 00887 01411 01414
Outdoor Common Area -00522 01198 -00508 06639
Walk Score 00110 00029 00111 00002
of Unfurnished Apartments -00009 00004 -00009 00377
Average Apt Unit Size 00001 00004 00001 08665
Age 00076 00040 00077 00586
Building Mix 00598 00727 00616 04122
Note R2 = 2620
Log(Subtotal Maintenance rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 01181 00708 01254 00976
Fitness Center 00409 01149 00418 07221
Pool 01516 01008 01637 01377
Outdoor Common Area -00781 01332 -00751 05587
Walk Score 00119 00033 00120 00004
of Unfurnished Apartments -00008 00005 -00008 00838
Average Apt Unit Size 00005 00004 00005 01980
Age 00104 00045 00105 00207
Building Mix 02440 00812 02764 00031
Note R2 = 3218
Log(Property Insurance rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 01239 00627 01319 00503
Fitness Center -00035 01025 -00035 09726
Pool 00227 01040 00230 08273
Outdoor Common Area 00156 01207 00157 08974
Walk Score 00073 00030 00073 00175
of Unfurnished Apartments -00010 00004 -00010 00180
Average Apt Unit Size -00006 00004 -00006 00739
Age 00010 00040 00010 08091
Building Mix -00520 00749 -00507 04887
Note R2 = 3902
Log(Total All Expenses Rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 01232 00565 01311 00311
Fitness Center 00096 00919 00097 09168
Pool 01610 00847 01747 00607
Outdoor Common Area -00362 01072 -00355 07361
Walk Score 00087 00026 00088 00012
of Unfurnished Apartments -00009 00004 -00009 00216
Average Apt Unit Size -00002 00003 -00002 06220
Age 00016 00036 00016 06614
Building Mix 00158 00658 00159 08106
Note R2 = 2943
Log(NOI Rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00932 00702 00977 01863
Fitness Center 01113 01144 01177 03325
Pool -00609 01107 -00591 05838
Outdoor Common Area -01393 01341 -01300 03006
Walk Score 00045 00033 00045 01797
of Unfurnished Apartments -00007 00005 -00007 01306
Average Apt Unit Size -00002 00004 -00002 06220
Age 00035 00045 00035 04386
Building Mix 00489 00829 00501 05562
Note R2 = 3669
Concessions rentable sf
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 01111 01815 01175 05416
Fitness Center -05094 02955 -03991 00871
Pool -00886 02792 -00848 07519
Outdoor Common Area 04576 03456 05803 01876
Walk Score 00121 00086 00121 01609
of Unfurnished Apartments -00007 00012 -00007 05606
Average Apt Unit Size -00003 00010 -00003 07532
Age 00130 00115 00131 02598
Building Mix -03720 02130 -03106 00828
Note R2 = 2402
Y Term ~Bias Estimate EXP estimate Practical Interpretation increasedecrease Std Error DFDen t Ratio Probgt|t| Estimate Std Error Practical Interpretation Significance
Log(Vacancies amp Rent Loss rentable sf) Intercept 00893029328 10934118365 934 06116337119 1083785495375 01460072116 08841869197 Green Cert
Log(Vacancies amp Rent Loss rentable sf) Green Certified (1=yes 0=no)[Yes] -0031825668 09686754385 -313 009164153 139931853592 -03472843369 07288994904 Gym
Log(Vacancies amp Rent Loss rentable sf) Gym (1=yes 0=no)[Yes] 01007730854 11060256399 1060 01479591517 1412043780621 0681087207 0496931725
Log(Vacancies amp Rent Loss rentable sf) Pool (1=yes 0=no)[Yes] 01125884395 11191712315 1192 0113345701 506840641957 09933190097 032527325
Log(Vacancies amp Rent Loss rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 02672618233 13063824429 3064 01690835398 1429144230275 15806495624 01161688791
Log(Vacancies amp Rent Loss rentable sf) Walk Score 00101642302 10102160615 102 00040763935 1219632686439 24934369735 00139912712
Log(Vacancies amp Rent Loss rentable sf) of Unfurnished Apartments -0000250981 09997490505 -003 00006011213 142449410245 -04175214322 06769256723
Log(Vacancies amp Rent Loss rentable sf) Average Apt Unit Size -00002575258 09997425074 -003 00004990119 1315989429881 -05160713681 06066705884
Log(Vacancies amp Rent Loss rentable sf) Age -00026152008 09973882158 -026 00056263988 1391583522195 -04648090107 06427946925
Log(Vacancies amp Rent Loss rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00099001013 10099492694 099 0100821633 1384002310718 00981942166 09219201454
Log(Total Rents Collected rentable sf) Intercept 30195696974 204824761253 194825 04164909532 1420770663705 72500246992 0
Log(Total Rents Collected rentable sf) Green Certified (1=yes 0=no)[Yes] 00996165255 11047471944 1047
Hopkins Erin Hopkins Erincant provide a confidencd interval for it
00590542761 1286416575023 16868638818 0094053065 0099617 00590542761 1047
Log(Total Rents Collected rentable sf) Gym (1=yes 0=no)[Yes] 00684081888 10708023088 708 0096210834 1330244953516 07110237581 04783143732
Log(Total Rents Collected rentable sf) Pool (1=yes 0=no)[Yes] 00088712036 10089106694 089 00916333982 708572236354 00968119025 09231490817
Log(Total Rents Collected rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00836597449 09197441505 -803 01126005752 1404546011941 -07429779537 04587359136
Log(Total Rents Collected rentable sf) Walk Score 0006479206 10065002414 065 0002794287 1413201347208 23187331419 00218436949
Log(Total Rents Collected rentable sf) of Unfurnished Apartments -00008678845 0999132492 -009 00003932429 1359586026848 -22069932213 00289920945 variance components to talk about how much of the total error that is attribuatle to city
Log(Total Rents Collected rentable sf) Average Apt Unit Size -00002078918 09997921298 -002 00003300088 1382568544162 -06299582685 05297616269
Log(Total Rents Collected rentable sf) Age 00008364704 10008368204 008 00037477419 1387794745176 02231931757 08237133506
Log(Total Rents Collected rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00042999624 10043092206 043 0069466499 142786243042 00618998008 09507291881
Log(Total Actual Collections rentable sf) Intercept 30681072891 215011686418 205012 04070110501 1415072794017 75381424868 0
Log(Total Actual Collections rentable sf) Green Certified (1=yes 0=no)[Yes] 00944491888 10990533175 991 00578900924 1291837028308 16315259643 01052148631
Log(Total Actual Collections rentable sf) Gym (1=yes 0=no)[Yes] 00739127176 10767128233 767 0094247393 1335821297113 07842415071 04342868782
Log(Total Actual Collections rentable sf) Pool (1=yes 0=no)[Yes] 00130418887 10131273051 131 00885804441 654593026021 01472321442 08834013324
Log(Total Actual Collections rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00794248992 0923647384 -764 01101507414 1410305976559 -07210564195 04720684016
Log(Total Actual Collections rentable sf) Walk Score 00065530115 10065745295 066 00027272037 14047408887 24028316857 00175745575
Log(Total Actual Collections rentable sf) of Unfurnished Apartments -0000833078 09991672689 -008 00003850262 1365168778586 -21636916411 00322285543
Log(Total Actual Collections rentable sf) Average Apt Unit Size -00002169447 09997830788 -002 00003233576 1393662972101 -06709126047 05033865944
Log(Total Actual Collections rentable sf) Age 00015178151 10015189676 015 0003670824 1398532082324 04134807595 06798877496
Log(Total Actual Collections rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00249154485 10252284322 252 0067842812 1423468871242 03672525904 07139760316
Log(Management Fee rentable sf) Intercept -02128803278 08082528568 -1917 04254329778 585619088893 -0500385111 06186792644
Log(Management Fee rentable sf) Green Certified (1=yes 0=no)[Yes] 0019865513 10200641454 201 00593086525 1354977267554 03349513461 07381797603
Log(Management Fee rentable sf) Gym (1=yes 0=no)[Yes] -00082052627 09918283086 -082 00958032958 1386068833723 -00856469772 09318706455
Log(Management Fee rentable sf) Pool (1=yes 0=no)[Yes] 00174275629 10175803089 176 00771880661 202180965349 02257805358 08236388274
Log(Management Fee rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00153191452 10154370848 154 01103651216 1423896402644 01388042255 08898009734
Log(Management Fee rentable sf) Walk Score 00070459229 10070708039 071 00028008303 805559990921 25156550566 0013868745
Log(Management Fee rentable sf) of Unfurnished Apartments -0001358177 09986427449 -014 00003916726 1421224837061 -34676335479 00006950146
Log(Management Fee rentable sf) Average Apt Unit Size -00005130214 09994871101 -005 00003375961 1007585612206 -15196307445 0131735624
Log(Management Fee rentable sf) Age 00013613923 10013623194 014 00037151697 1277713043957 03664414822 07146417588
Log(Management Fee rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -00674463479 09347778721 -652 00657081953 1299283630266 -10264525997 03065854809
Log(Total Utilities Rentable sf) Intercept -03748562337 06873880949 -3126 04464274077 1402143832266 -08396801522 04025171642
Log(Total Utilities Rentable sf) Green Certified (1=yes 0=no)[Yes] 00873163337 10912418217 912 0064576715 1358457024729 13521334071 01785794114
Log(Total Utilities Rentable sf) Gym (1=yes 0=no)[Yes] 01175979311 11247917766 1248 01048349264 1384172144229 11217438221 02639135776
Log(Total Utilities Rentable sf) Pool (1=yes 0=no)[Yes] 00115680134 10116351816 116 00928512423 72633370166 01245865221 09011950626
Log(Total Utilities Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00222539972 10225034645 225 01216524447 1425571484619 01829309493 0855112103
Log(Total Utilities Rentable sf) Walk Score 00068649233 10068885409 069 00029812807 1396033046894 23026759291 00227754146
Log(Total Utilities Rentable sf) of Unfurnished Apartments -00006773222 09993229071 -007 00004273761 1401067188346 -15848386198 01152575495
Log(Total Utilities Rentable sf) Average Apt Unit Size -00003442022 0999655857 -003 00003581401 1425120147852 -09610825805 03381384619
Log(Total Utilities Rentable sf) Age 00048795122 10048914364 049 00040600929 1425855030198 12018227897 02314244716
Log(Total Utilities Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -01198355423 08870663096 -1129 00742421382 1413320388001 -16141176043 01087323819
Log(MampR rentable sf) Intercept -09030689887 04053238148 -5947 0437858541 1384008312652 -20624674504 00410332652
Log(MampR rentable sf) Green Certified (1=yes 0=no)[Yes] 00937424436 10982768413 983 00639155521 1376081716673 14666609392 01447499128
Log(MampR rentable sf) Gym (1=yes 0=no)[Yes] 00037664885 10037735907 038 01036113865 1396450691334 00363520715 09710535435
Log(MampR rentable sf) Pool (1=yes 0=no)[Yes] 01319613595 11410642271 1411 00887446725 719561267791 14869778183 0141389644
Log(MampR rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00521515872 09491849716 -508 01197720975 1428478988157 -04354235112 06639122497
Log(MampR rentable sf) Walk Score 00110131704 10110740386 111 00029197236 1385662208531 37719907631 00002391344
Log(MampR rentable sf) of Unfurnished Apartments -00008849955 09991153959 -009 00004219429 1410140957414 -20974297602 0037740228
Log(MampR rentable sf) Average Apt Unit Size 00000594506 10000594524 001 0000353075 1429981472006 01683796031 08665225748
Log(MampR rentable sf) Age 0007624822 1007653965 077 00039990018 142990029884 19066812998 00585678315
Log(MampR rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00598131349 10616381449 616 00727173027 1406732379184 08225433659 04121598071
Log(Subtotal Maintenance rentable sf) Intercept -07997344997 04494482769 -5506 0489167182 1380935604874 -16348899298 01043496414
Log(Subtotal Maintenance rentable sf) Green Certified (1=yes 0=no)[Yes] 01180969773 11253532398 1254 00707986514 1348907221481 16680681771 00976219515
Log(Subtotal Maintenance rentable sf) Gym (1=yes 0=no)[Yes] 00409351965 10417845921 418 01148796072 1378640116803 03563312718 07221372278
Log(Subtotal Maintenance rentable sf) Pool (1=yes 0=no)[Yes] 01515780559 11636691295 1637 0100780712 617547240206 15040383505 01376688864
Log(Subtotal Maintenance rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -0078076377 09248937833 -751 01331885868 1426567369893 -05862092154 05586613077
Log(Subtotal Maintenance rentable sf) Walk Score 0011889233 10119601909 120 00032614069 1377504918879 36454307183 00003773801
Log(Subtotal Maintenance rentable sf) of Unfurnished Apartments -00008153416 09991849907 -008 00004682078 1398534995511 -17414095506 00838107083
Log(Subtotal Maintenance rentable sf) Average Apt Unit Size 00005083484 10005084776 005 00003930253 1428434249161 12934242295 01979520949
Log(Subtotal Maintenance rentable sf) Age 00104106727 10104650523 105 00044515054 1428449267664 23386858733 00207383998
Log(Subtotal Maintenance rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 02440298206 12763823925 2764 0081177414 1402563601749 30061295196 00031359748
Log(Property Insurance rentable sf) Intercept -08916874806 04099633635 -5900 04516384713 1429624291993 -19743390727 00502702101
Log(Property Insurance rentable sf) Green Certified (1=yes 0=no)[Yes] 01239058141 11319092561 1319 0062692592 1281678143933 19764027959 00502564371
Log(Property Insurance rentable sf) Gym (1=yes 0=no)[Yes] -0003522638 09964835593 -035 01024969537 1314939748594 -0034368221 09726356404
Log(Property Insurance rentable sf) Pool (1=yes 0=no)[Yes] 00227423743 10230029538 230 01040308572 1125700947624 02186118131 08273482928
Log(Property Insurance rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00155809876 10157030041 157 01206677853 1368483458399 01291230096 08974498986
Log(Property Insurance rentable sf) Walk Score 00072977866 10073244804 073 00030353828 1428602075435 24042392705 00174877086
Log(Property Insurance rentable sf) of Unfurnished Apartments -00010061941 09989943119 -010 0000420017 1337858380697 -23956034086 00179774093
Log(Property Insurance rentable sf) Average Apt Unit Size -00006330482 09993671521 -006 00003514502 1338864329416 -18012458048 0073914725
Log(Property Insurance rentable sf) Age 00009661099 10009665767 010 00039921418 1338497494964 02420028921 08091483095
Log(Property Insurance rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -00520208103 09493091112 -507 00749301111 1411273861679 -06942577501 04886618561
Log(Total All Expenses Rentable sf) Intercept 17410862845 57035357214 47035 03946731547 141889623796 44114636723 00000201648
Log(Total All Expenses Rentable sf) Green Certified (1=yes 0=no)[Yes] 01231722438 11310792255 1311 00565275641 1341244163534 21789766772 00310802733
Log(Total All Expenses Rentable sf) Gym (1=yes 0=no)[Yes] 00096244971 10096709615 097 00919378962 1370603130567 01046847658 09167789899
Log(Total All Expenses Rentable sf) Pool (1=yes 0=no)[Yes] 01610294116 11747195186 1747 00846545666 801516751987 19021940341 00607378863
Log(Total All Expenses Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00361842114 09644626121 -355 01071504659 1418739239709 -03376953252 07360919324
Log(Total All Expenses Rentable sf) Walk Score 00087371658 10087754463 088 00026426023 1411809488418 33062734678 00011989895
Log(Total All Expenses Rentable sf) of Unfurnished Apartments -00008720665 09991283137 -009 00003752966 1389800988186 -23236728617 00215934791
Log(Total All Expenses Rentable sf) Average Apt Unit Size -0000155413 0999844599 -002 00003145108 1409449329598 -0494142052 06219751067
Log(Total All Expenses Rentable sf) Age 00015666155 10015678433 016 00035695206 1412387206124 04388868073 06614142124
Log(Total All Expenses Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00157918953 10159172462 159 00657593447 1424551160559 02401467861 08105616925
Log(NOI Rentable sf) Intercept 27416093787 155119295878 145119 049686036 1426328429735 55178669889 0000000157
Log(NOI Rentable sf) Green Certified (1=yes 0=no)[Yes] 00932241108 10977077159 977 00701671113 1292740226257 13286012361 01863200879
Log(NOI Rentable sf) Gym (1=yes 0=no)[Yes] 0111280688 11177085902 1177 0114413579 13320261997 09726178396 03325061802
Log(NOI Rentable sf) Pool (1=yes 0=no)[Yes] -00608871507 0940929417 -591 01107002034 838263437204 -05500184174 05837693269
Log(NOI Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -01393113526 08699571229 -1300 01340931949 1397855428856 -10389144106 03006382455
Log(NOI Rentable sf) Walk Score 00045000262 10045101666 045 0003337636 1423581725818 13482675372 01797136327
Log(NOI Rentable sf) of Unfurnished Apartments -00007116645 09992885887 -007 00004679272 1358400867851 -15208872073 01306124688
Log(NOI Rentable sf) Average Apt Unit Size -00001937801 09998062387 -002 00003921685 1372175013367 -04941245389 06220083144
Log(NOI Rentable sf) Age 00034607088 1003466704 035 00044548378 1376438770548 07768428318 04385844885
Log(NOI Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00488697769 10500835966 501 00828565286 1429949688826 05898120243 0556247504
Concessions rentable sf Intercept 0091580439 10959049266 959 12772069558 1418541020247 00717036801 09429387231
Concessions rentable sf Green Certified (1=yes 0=no)[Yes] 01110697527 11174728508 1175 01814813765 1293641668833 06120173584 05416004511
Concessions rentable sf Gym (1=yes 0=no)[Yes] -05094051331 06008529 -3991 02955403985 1336296409402 -17236395961 00870857294
Concessions rentable sf Pool (1=yes 0=no)[Yes] -00886152984 09151975838 -848 02791864929 69298361986 -03174053928 07518903943
Concessions rentable sf Outdoor Common Area (1=yes 0=no)[Yes] 04576291372 15803228114 5803 03455726285 1408379747117 13242632646 01875606951
Concessions rentable sf Walk Score 00120688741 10121419968 121 00085630896 1409791646097 14094064916 01609170757
Concessions rentable sf of Unfurnished Apartments -00007045588 09992956894 -007 00012075862 1364744404696 -05834438741 05605574922
Concessions rentable sf Average Apt Unit Size -00003193903 09996806607 -003 00010135961 1389703034326 -03151061148 07531537379
Concessions rentable sf Age 00130223218 10131074815 131 00115086772 139464867267 11315220311 02597773256
Concessions rentable sf Building Mix (0=multifamily 1 = mixed-use)[Mixed] -03719888249 06893619462 -3106 02129597676 1426034459287 -17467563435 00828326573
Page 19: AUGUST 21- 23, 2018 • CLEVELAND, OHIO€¦ · Business Case 2.0: New Research Around High Performing Buildings Thursday 23 rd, 2018 10:30am – 12:00pm

Looking Ahead

Looking Ahead ndash our visionTo have energy factors fully and routinely incorporated in commercial mortgage valuation accelerating demand for buildings with lower energy risk

20

Show that energy matters

Develop and pilot

interventions Disseminate

best practices Institutionalize

Analysis of energy impacts

Long term

Case studies on actual mortgage loans

Protocols and tools for lenders and owners

Industry Standards

Scope of current effort

RecommendationsLenders Ask owners to provide info on energy cost range

Account for variations in energy use and energy price Could be done as part of Property Condition Assessment Can reference ASTM standard

Incorporate energy risk factor into underwriting and terms eg Interest rate discount for lower risk

Offer additional loan proceeds for EE investments

Owners Ask lenders to account for energy efficiency when setting mortgage

terms Provide data on energy costs to lender

Historical and anticipated In appraisal andor PCA

21

Thank you

Money Matters Exploring the Financial Impacts of Green Certifications in the Multifamily Rental Sector

Erin A Hopkins PhD CAPS LEED Green AssociateAssistant Professor of Property Management

bull Sample 153 properties from 2 of National Multifamily Housing Councilrsquos 2016 50 Largest Apartment Managers

bull Green-certified 2288 of properties (35 properties)bull Methodology Multiple Regression Analysisbull Controls Location Fitness Center Pool Outdoor Common Area Walk

Score of Unfurnished Apartments Average Apartment Unit Size Age Building Mix

bull Limitations Building class not directly taken into account

Overview of Research

Certifications Represented in Sample

Austin Energy Green Buildingreg (AEGB)

Rating System(3)

ENERGY STARreg

(1)

Florida Green Building Coalition

(FGBC)(1)

GreenPoint Rated(4)

LEEDreg

(16)

National Green Building Standardtrade

(NGBS)(11)

Properties by City

2

4

2 2 21 1

3

1 1 12 2

1 1 1

6

1 1

8

11

4

6

14

3

1

19

3

1 1

7

43

2

9

18

2 2

0

2

4

6

8

10

12

14

16

18

20

Summary Statistics of City Datan=153

Summary Satistics of City Data Green Bldgs Summary Satistics of City Data Non-Green Comparables

Descriptive

97

71

100

31

89

69

93

24

0

20

40

60

80

100

120

Fitness Center Pool Outdoor Common Area Mixed-Use Property

Summary Statistics of Green vs Non-Green Propertiesn = 153

Green Non-Green

Descriptive

73228

866

2011

74

259

894

2003

0

500

1000

1500

2000

2500

Walk Score Average Number of Units Average Apt Unit Size (sf) Age

Summary Statistics of Green vs Non-Green Properties

n = 153

Green Non-Green

Findings

Total Rents Collected1047

Total Maintenance1254

Property Insurance1319

Total Expenses1311

Higher rents and expenses

Financial Impacts of Green

Dependent Variable Per Square Foot Per Apartment Per PropertyTotal Rents Collected 247$ 2189$ 551683$ Subtotal Maintenance 020$ 178$ 44843$ Property Insurance 005$ 42$ 10601$ Total Expenses 112$ 990$ 249535$

Coefficients Standard Errors

Tables

Summary of Green Impacts

Summary Table

Discussion

bull Assume efficient operations will offset the higher rent

bull Philanthropic motivesbull Prestige motivesbull Green buildings tend to be newermore

likely to offer the more sought-after amenities and finishes

bull Tend to be in higher-income areaslikely have higher rents

Different motivations for paying higher rent may be in

play

Discussion

Higher Operating Expenses a Surprise

Does not align with much of the existing researchhellipbut no research on effects of green certification on total operating expenses within multifamily rental sector

Many of the certifications represented in this study focus on the design phase of the property vs the operations and maintenance phase

And although promotion of sustainability is on the rise in the multifamily housing sector staff may remain unfamiliar with the unique operations and maintenance of green

buildings

Final Thoughts

Apartment homes represent $13 trillion to the US economy and 5 million new rental households are expected by 2023 (National Multifamily Housing Council 2015)

Upfront capital constraints regulatory issues knowledge limitations and marketing concerns may diminish the attractiveness of multifamily rental green building

certification if not properly managed

Most studies focus on office sector andor strictly rents or property value

This study begins to look at the multifamily rental sector and offer a more comprehensive analysis

Further research is needed with larger datasets to understand effects of green certification on income statement components in the apartment industry as NOI

ultimately determines property market valueOptimism that this study can be the impetus for further research contributions on the

financial environmental and resident satisfaction impacts of green practices and certifications on the multifamily rental sector

Contact informationErin A Hopkinserinz1vtedu

Acknowledgementsbull Todd Feist Sustainability Program Manager at The Institute of

Real Estate Management (IREMreg) for his assistance with this research project

bull Yardi and IREMreg for the grant awarded to support this researchbull The two property management companies for sharing their data

BUILDING PERFORMANCE

UNLOCKINGVALUE

New DOE-driven Research Around High Performing Buildings

AUGUST 23 2018

ANDREW WHITEASSOCIATE MANAGERawhiteretechadvisorscom

2015-2016 bull Research design working group pilot study data lab

2017 bull Connect to Real Estate Research Institute (RERI) Literature review and gap analysis

2018 bull Research agenda request for proposals research project selection and execution

Context Setting ndash DOE Research EffortWhat are the impacts of energy efficiency and high-performance building

features on financial performance of commercial real estate

RERIrsquos mission is to encourage and reward research on real estate as an investment and as an asset class that is both academically rigorous and of value to the institutional real estate investment profession In addition RERI serves to provide a forum through which the real estate academic professional and regulatory communities can interact facilitating the exchange of insights amongst these stakeholders

RERI Overview

Sponsors

Build upon DOErsquos Review of Studies in the Market

bull Focus explicitly on peer-reviewed papers Gap analysis of existing research to

identifybull Questions that have already been

sufficiently provenbull Holes in existing body of research

Academic Inputbull Guidance on which studies to includebull Suggestions for how to conduct analysis

Literature Review Objectives

Literature Review Results

LEED

ENER

GY

ST

AR

labe

l

ENER

GY

ST

AR

sc

ore

Ener

gy u

se

BR

EEA

M

Ener

gy

Perf

orm

anc

e Cer

tific

ates

(U

K)

BO

MA

B

EST

Wal

kabi

lity

Non

-ene

rgy

gree

n fe

atur

es

Oth

er

Rent 20 18 1 2 2 2 1 1 1Rent concessions 1 1 1Sales price 9 11 1 1 1 1Assessed value 2 2Market value 1 2 1 2 1Occupancy 10 9 1Lease renewals 1 1 1Service charge 1Operating cost 2 3Energy cost 2 3Tenant satisfaction 1 1 1Sales time 1 1Default rate 2 1Capitalization rate 1 2 2 1Net operating income 1 1 1Loan to value ratio 1 1Debt service coverage ratio 1 1Worker productivity 1 1Other 5 4 1 4 2 2

There is considerable evidence that green building certifications correlate with increased economic value primarily via higher rents and sales prices

bull How do we move beyond certification to analyze performancebull Correlation vs Causation

bull What is driving added value Is it green features and efficiency the green labels themselves or other desirable features often included in certified buildings

Panel studies could help reduce some of the uncertainty and noise Full results presented at ACEEE Summer Study

bull Raising the Rent Premium Moving Green Building Research Beyond Certifications and Rent

bull Cindy Zhu Andrew White Paul Mathew Jeff Deason Philip Coleman

Literature Review Results

Research Agenda Core QuestionldquoHow does ltenergygreen metricgt affect ltfinancial value metricgtrdquo

EnergyGreen Metric

Site energy use or EUI

Source energy use or EUI

Energy cost or costsf

ENERGY STAR score

ENERGY STAR label

Green Building Certification (LEED BOMA 360)

Green Building Certification level (eg LEED Silver Gold)

Financial Value Metric

VacancyOccupancy Sales Price

Leasing Velocity (absorption speed of sales leasing)

Regulatory amp Compliance Risk

Tenant Renewals Insurance (rates ability)

Tenant Satisfaction Default Risk

Rental Income and Rent Concessions Debt Service Coverage Ratio

Marketing Costs Access to Funding

Utility Costs Maintenance OpEx Interest Rates

Obsolescence Reserves

Capitalization Rates

12 proposals received 5 projects selected Criteria

bull Department of Energy goals

bull Impact on Commercial Real Estate (CRE) Industry

bull Feasibility and Interest

bull Quality and Validity

Proposal Reviews

Jim Clayton Avis Devine (York University) and Rogier Holtermans(University of Guelph) Analyzing four types of energy

efficiency interventions on financial components that impact property-level NOI

bull How do interventions impact different aspects of building operations and their subsequent financial impact

Beyond Environmental Building Certification The Impact of Environmental Interventions on Commercial Real Estate Operations

Piet Eichholtz and Nils Kok (Maastricht University) and RogierHoltermans (University of Guelph) Three key questions

bull How is environmental building certification related to commercial building energy consumption

bull How does aging affect the energy consumption of the commercial building stock

bull To what extent do specific energy efficiency investments affect energy consumption in commercial real estate

The Dynamics of Energy Consumption in Commercial Real Estate

Sofia Dermisi Chris Lee and YoungjinChoe (University of Washington) Exploring the effect of disclosure

policies on office building marketability while assessing potential links between market performance of sustainable assets

bull Before and after the disclosure policies while considering market cycles

bull Before and after ENERGY STAR andor LEED certification

Markets included San Francisco Washington DC

Effect of Energy Benchmarking and Disclosure on Office Building Marketability

Dirk Brounen (Tilburg University) and Gianluca Marcato (Reading University) Analyzing the adoption of GRESB within the public real estate markets and

predicting a potential impact of GRESB scores on REIT returns

Sustainable Insights and Public Real Estate Performance GRESB Effects in REIT Markets

Constantine Kontokosta (New York University) Franz Fuerst(Cambridge University) Gary Pivo (University of Arizona) amp Jacob Sagi (UNC Chapel Hill) Utilizing NYC data to empirically model

bull the spread between the premium for labeled (energy efficient) buildings and the cost to retrofit an under-performing building to meet the same standard which will allow us to understand how much of the observed premium is attributable to energy efficiency and how much can be assigned to other perceived benefits (marketing construction quality etc)

bull the hurdle rate for energy retrofit investments using actual audit data and permitted renovation work

Estimating Office and Residential Building Energy Retrofit Hurdle Rates and Risk Arbitrage in Energy Efficiency Investments

Collecting data for continued Data Lab analysis Presenting Research findings

bull Interim research results ndash IPC Research Symposium (October)bull Greenbuild Session (November)bull RERI Research Conference (April)bull Final research results ndash Better Buildings Webinars Summit 2019 (TBA)

Work with DOE case study and data analysis opportunities abound

Next Steps

Paul Mathew

Lawrence Berkeley National Laboratorypamathewlblgov

Paulo Issler

University of California Berkeleypauloisslerberkeleyedu

Erin Hopkins

Virginia Techerinz1vtedu

Andrew White

RE Tech Advisorsawhiteretechadvisorscom

Contact Info

  • Slide Number 1
  • Business Case 20 New Research Around High Performing Buildings
  • Panelists
  • Energy and Default Risk in Commercial Mortgages
  • Paulo Issler
  • Acknowledgements
  • The link between energy and CRE mortgages
  • Approach Impact of energy on default rate
  • Default risk and source EUI (cont)
  • Default risk and source EUI
  • Default risk and source EUI (cont)
  • Default risk and source EUI (cont)
  • What are the impacts on specific loans
  • Case Studies
  • Denver Office ndash energy use and default risk
  • Denver Office ndash energy price and default risk
  • Case Studies ndash summary of risks impacts
  • Case Studies ndash business impact
  • Looking Ahead
  • Looking Ahead ndash our vision
  • Recommendations
  • Slide Number 22
  • Money Matters Exploring the Financial Impacts of Green Certifications in the Multifamily Rental SectorErin A Hopkins PhD CAPS LEED Green AssociateAssistant Professor of Property Management
  • Overview of Research
  • Certifications Represented in Sample
  • Properties by City
  • Descriptive
  • Descriptive
  • Findings
  • Financial Impacts of Green
  • Discussion
  • Discussion
  • Final Thoughts
  • Slide Number 34
  • Slide Number 35
  • Context Setting ndash DOE Research Effort
  • RERI Overview
  • Literature Review Objectives
  • Literature Review Results
  • Literature Review Results
  • Research Agenda Core Question
  • Proposal Reviews
  • Beyond Environmental Building Certification The Impact of Environmental Interventions on Commercial Real Estate Operations
  • The Dynamics of Energy Consumption in Commercial Real Estate
  • Effect of Energy Benchmarking and Disclosure on Office Building Marketability
  • Sustainable Insights and Public Real Estate Performance GRESB Effects in REIT Markets
  • Estimating Office and Residential Building Energy Retrofit Hurdle Rates and Risk Arbitrage in Energy Efficiency Investments
  • Next Steps
  • Contact Info
Y Term ~Bias Estimate EXP estimate Practical Interpretation increasedecrease Std Error DFDen t Ratio Probgt|t| Log(Vacancies amp Rent Loss rentable sf) Log(Total Rents Collected rentable sf) Log(Total Actual Collections rentable sf) Log(Management Fee rentable sf) Log(Total Utilities Rentable sf) Log(MampR rentable sf) Log(Subtotal Maintenance rentable sf) Log(Property Insurance rentable sf) Log(Total All Expenses Rentable sf) Log(NOI Rentable sf) Concessions rentable sf
Log(Vacancies amp Rent Loss rentable sf) Intercept 00893029328 10934118365 934 06116337119 1083785495375 01460072116 08841869197 Green Certified (1=yes 0=no)[Yes] -00318 01047 00991
Log(Vacancies amp Rent Loss rentable sf) Green Certified (1=yes 0=no)[Yes] -0031825668 09686754385 -313 009164153 139931853592 -03472843369 07288994904 Gym (1=yes 0=no)[Yes] 01060 00708 00767
Log(Vacancies amp Rent Loss rentable sf) Gym (1=yes 0=no)[Yes] 01007730854 11060256399 1060 01479591517 1412043780621 0681087207 0496931725 Pool (1=yes 0=no)[Yes] 01126 00089 00131
Log(Vacancies amp Rent Loss rentable sf) Pool (1=yes 0=no)[Yes] 01125884395 11191712315 1192 0113345701 506840641957 09933190097 032527325 Outdoor Common Area (1=yes 0=no)[Yes] 02673 -00803 -00764
Log(Vacancies amp Rent Loss rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 02672618233 13063824429 3064 01690835398 1429144230275 15806495624 01161688791 Walk Score 00102 00065 00066
Log(Vacancies amp Rent Loss rentable sf) Walk Score 00101642302 10102160615 102 00040763935 1219632686439 24934369735 00139912712 of Unfurnished Apartments -00003 -00009 -00008
Log(Vacancies amp Rent Loss rentable sf) of Unfurnished Apartments -0000250981 09997490505 -003 00006011213 142449410245 -04175214322 06769256723 Average Apt Unit Size -00003 -00002 -00002
Log(Vacancies amp Rent Loss rentable sf) Average Apt Unit Size -00002575258 09997425074 -003 00004990119 1315989429881 -05160713681 06066705884 Age -00026 00008 00015
Log(Vacancies amp Rent Loss rentable sf) Age -00026152008 09973882158 -026 00056263988 1391583522195 -04648090107 06427946925 Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00099 00043 00252
Log(Vacancies amp Rent Loss rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00099001013 10099492694 099 0100821633 1384002310718 00981942166 09219201454
Log(Total Rents Collected rentable sf) Intercept 30195696974 204824761253 194825 04164909532 1420770663705 72500246992 0
Log(Total Rents Collected rentable sf) Green Certified (1=yes 0=no)[Yes] 00996165255 11047471944 1047
Hopkins Erin Hopkins Erincant provide a confidencd interval for it
00590542761 1286416575023 16868638818 0094053065
Log(Total Rents Collected rentable sf) Gym (1=yes 0=no)[Yes] 00684081888 10708023088 708 0096210834 1330244953516 07110237581 04783143732
Log(Total Rents Collected rentable sf) Pool (1=yes 0=no)[Yes] 00088712036 10089106694 089 00916333982 708572236354 00968119025 09231490817
Log(Total Rents Collected rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00836597449 09197441505 -803 01126005752 1404546011941 -07429779537 04587359136
Log(Total Rents Collected rentable sf) Walk Score 0006479206 10065002414 065 0002794287 1413201347208 23187331419 00218436949
Log(Total Rents Collected rentable sf) of Unfurnished Apartments -00008678845 0999132492 -009 00003932429 1359586026848 -22069932213 00289920945
Log(Total Rents Collected rentable sf) Average Apt Unit Size -00002078918 09997921298 -002 00003300088 1382568544162 -06299582685 05297616269
Log(Total Rents Collected rentable sf) Age 00008364704 10008368204 008 00037477419 1387794745176 02231931757 08237133506
Log(Total Rents Collected rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00042999624 10043092206 043 0069466499 142786243042 00618998008 09507291881
Log(Total Actual Collections rentable sf) Intercept 30681072891 215011686418 205012 04070110501 1415072794017 75381424868 0
Log(Total Actual Collections rentable sf) Green Certified (1=yes 0=no)[Yes] 00944491888 10990533175 991 00578900924 1291837028308 16315259643 01052148631
Log(Total Actual Collections rentable sf) Gym (1=yes 0=no)[Yes] 00739127176 10767128233 767 0094247393 1335821297113 07842415071 04342868782
Log(Total Actual Collections rentable sf) Pool (1=yes 0=no)[Yes] 00130418887 10131273051 131 00885804441 654593026021 01472321442 08834013324
Log(Total Actual Collections rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00794248992 0923647384 -764 01101507414 1410305976559 -07210564195 04720684016
Log(Total Actual Collections rentable sf) Walk Score 00065530115 10065745295 066 00027272037 14047408887 24028316857 00175745575
Log(Total Actual Collections rentable sf) of Unfurnished Apartments -0000833078 09991672689 -008 00003850262 1365168778586 -21636916411 00322285543
Log(Total Actual Collections rentable sf) Average Apt Unit Size -00002169447 09997830788 -002 00003233576 1393662972101 -06709126047 05033865944
Log(Total Actual Collections rentable sf) Age 00015178151 10015189676 015 0003670824 1398532082324 04134807595 06798877496
Log(Total Actual Collections rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00249154485 10252284322 252 0067842812 1423468871242 03672525904 07139760316
Log(Management Fee rentable sf) Intercept -02128803278 08082528568 -1917 04254329778 585619088893 -0500385111 06186792644
Log(Management Fee rentable sf) Green Certified (1=yes 0=no)[Yes] 0019865513 10200641454 201 00593086525 1354977267554 03349513461 07381797603
Log(Management Fee rentable sf) Gym (1=yes 0=no)[Yes] -00082052627 09918283086 -082 00958032958 1386068833723 -00856469772 09318706455
Log(Management Fee rentable sf) Pool (1=yes 0=no)[Yes] 00174275629 10175803089 176 00771880661 202180965349 02257805358 08236388274
Log(Management Fee rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00153191452 10154370848 154 01103651216 1423896402644 01388042255 08898009734
Log(Management Fee rentable sf) Walk Score 00070459229 10070708039 071 00028008303 805559990921 25156550566 0013868745
Log(Management Fee rentable sf) of Unfurnished Apartments -0001358177 09986427449 -014 00003916726 1421224837061 -34676335479 00006950146
Log(Management Fee rentable sf) Average Apt Unit Size -00005130214 09994871101 -005 00003375961 1007585612206 -15196307445 0131735624
Log(Management Fee rentable sf) Age 00013613923 10013623194 014 00037151697 1277713043957 03664414822 07146417588
Log(Management Fee rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -00674463479 09347778721 -652 00657081953 1299283630266 -10264525997 03065854809
Log(Total Utilities Rentable sf) Intercept -03748562337 06873880949 -3126 04464274077 1402143832266 -08396801522 04025171642
Log(Total Utilities Rentable sf) Green Certified (1=yes 0=no)[Yes] 00873163337 10912418217 912 0064576715 1358457024729 13521334071 01785794114
Log(Total Utilities Rentable sf) Gym (1=yes 0=no)[Yes] 01175979311 11247917766 1248 01048349264 1384172144229 11217438221 02639135776
Log(Total Utilities Rentable sf) Pool (1=yes 0=no)[Yes] 00115680134 10116351816 116 00928512423 72633370166 01245865221 09011950626
Log(Total Utilities Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00222539972 10225034645 225 01216524447 1425571484619 01829309493 0855112103
Log(Total Utilities Rentable sf) Walk Score 00068649233 10068885409 069 00029812807 1396033046894 23026759291 00227754146
Log(Total Utilities Rentable sf) of Unfurnished Apartments -00006773222 09993229071 -007 00004273761 1401067188346 -15848386198 01152575495
Log(Total Utilities Rentable sf) Average Apt Unit Size -00003442022 0999655857 -003 00003581401 1425120147852 -09610825805 03381384619
Log(Total Utilities Rentable sf) Age 00048795122 10048914364 049 00040600929 1425855030198 12018227897 02314244716
Log(Total Utilities Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -01198355423 08870663096 -1129 00742421382 1413320388001 -16141176043 01087323819
Log(MampR rentable sf) Intercept -09030689887 04053238148 -5947 0437858541 1384008312652 -20624674504 00410332652
Log(MampR rentable sf) Green Certified (1=yes 0=no)[Yes] 00937424436 10982768413 983 00639155521 1376081716673 14666609392 01447499128
Log(MampR rentable sf) Gym (1=yes 0=no)[Yes] 00037664885 10037735907 038 01036113865 1396450691334 00363520715 09710535435
Log(MampR rentable sf) Pool (1=yes 0=no)[Yes] 01319613595 11410642271 1411 00887446725 719561267791 14869778183 0141389644
Log(MampR rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00521515872 09491849716 -508 01197720975 1428478988157 -04354235112 06639122497
Log(MampR rentable sf) Walk Score 00110131704 10110740386 111 00029197236 1385662208531 37719907631 00002391344
Log(MampR rentable sf) of Unfurnished Apartments -00008849955 09991153959 -009 00004219429 1410140957414 -20974297602 0037740228
Log(MampR rentable sf) Average Apt Unit Size 00000594506 10000594524 001 0000353075 1429981472006 01683796031 08665225748
Log(MampR rentable sf) Age 0007624822 1007653965 077 00039990018 142990029884 19066812998 00585678315
Log(MampR rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00598131349 10616381449 616 00727173027 1406732379184 08225433659 04121598071
Log(Subtotal Maintenance rentable sf) Intercept -07997344997 04494482769 -5506 0489167182 1380935604874 -16348899298 01043496414
Log(Subtotal Maintenance rentable sf) Green Certified (1=yes 0=no)[Yes] 01180969773 11253532398 1254 00707986514 1348907221481 16680681771 00976219515
Log(Subtotal Maintenance rentable sf) Gym (1=yes 0=no)[Yes] 00409351965 10417845921 418 01148796072 1378640116803 03563312718 07221372278
Log(Subtotal Maintenance rentable sf) Pool (1=yes 0=no)[Yes] 01515780559 11636691295 1637 0100780712 617547240206 15040383505 01376688864
Log(Subtotal Maintenance rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -0078076377 09248937833 -751 01331885868 1426567369893 -05862092154 05586613077
Log(Subtotal Maintenance rentable sf) Walk Score 0011889233 10119601909 120 00032614069 1377504918879 36454307183 00003773801
Log(Subtotal Maintenance rentable sf) of Unfurnished Apartments -00008153416 09991849907 -008 00004682078 1398534995511 -17414095506 00838107083
Log(Subtotal Maintenance rentable sf) Average Apt Unit Size 00005083484 10005084776 005 00003930253 1428434249161 12934242295 01979520949
Log(Subtotal Maintenance rentable sf) Age 00104106727 10104650523 105 00044515054 1428449267664 23386858733 00207383998
Log(Subtotal Maintenance rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 02440298206 12763823925 2764 0081177414 1402563601749 30061295196 00031359748
Log(Property Insurance rentable sf) Intercept -08916874806 04099633635 -5900 04516384713 1429624291993 -19743390727 00502702101
Log(Property Insurance rentable sf) Green Certified (1=yes 0=no)[Yes] 01239058141 11319092561 1319 0062692592 1281678143933 19764027959 00502564371
Log(Property Insurance rentable sf) Gym (1=yes 0=no)[Yes] -0003522638 09964835593 -035 01024969537 1314939748594 -0034368221 09726356404
Log(Property Insurance rentable sf) Pool (1=yes 0=no)[Yes] 00227423743 10230029538 230 01040308572 1125700947624 02186118131 08273482928
Log(Property Insurance rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00155809876 10157030041 157 01206677853 1368483458399 01291230096 08974498986
Log(Property Insurance rentable sf) Walk Score 00072977866 10073244804 073 00030353828 1428602075435 24042392705 00174877086
Log(Property Insurance rentable sf) of Unfurnished Apartments -00010061941 09989943119 -010 0000420017 1337858380697 -23956034086 00179774093
Log(Property Insurance rentable sf) Average Apt Unit Size -00006330482 09993671521 -006 00003514502 1338864329416 -18012458048 0073914725
Log(Property Insurance rentable sf) Age 00009661099 10009665767 010 00039921418 1338497494964 02420028921 08091483095
Log(Property Insurance rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -00520208103 09493091112 -507 00749301111 1411273861679 -06942577501 04886618561
Log(Total All Expenses Rentable sf) Intercept 17410862845 57035357214 47035 03946731547 141889623796 44114636723 00000201648
Log(Total All Expenses Rentable sf) Green Certified (1=yes 0=no)[Yes] 01231722438 11310792255 1311 00565275641 1341244163534 21789766772 00310802733
Log(Total All Expenses Rentable sf) Gym (1=yes 0=no)[Yes] 00096244971 10096709615 097 00919378962 1370603130567 01046847658 09167789899
Log(Total All Expenses Rentable sf) Pool (1=yes 0=no)[Yes] 01610294116 11747195186 1747 00846545666 801516751987 19021940341 00607378863
Log(Total All Expenses Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00361842114 09644626121 -355 01071504659 1418739239709 -03376953252 07360919324
Log(Total All Expenses Rentable sf) Walk Score 00087371658 10087754463 088 00026426023 1411809488418 33062734678 00011989895
Log(Total All Expenses Rentable sf) of Unfurnished Apartments -00008720665 09991283137 -009 00003752966 1389800988186 -23236728617 00215934791
Log(Total All Expenses Rentable sf) Average Apt Unit Size -0000155413 0999844599 -002 00003145108 1409449329598 -0494142052 06219751067
Log(Total All Expenses Rentable sf) Age 00015666155 10015678433 016 00035695206 1412387206124 04388868073 06614142124
Log(Total All Expenses Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00157918953 10159172462 159 00657593447 1424551160559 02401467861 08105616925
Log(NOI Rentable sf) Intercept 27416093787 155119295878 145119 049686036 1426328429735 55178669889 0000000157
Log(NOI Rentable sf) Green Certified (1=yes 0=no)[Yes] 00932241108 10977077159 977 00701671113 1292740226257 13286012361 01863200879
Log(NOI Rentable sf) Gym (1=yes 0=no)[Yes] 0111280688 11177085902 1177 0114413579 13320261997 09726178396 03325061802
Log(NOI Rentable sf) Pool (1=yes 0=no)[Yes] -00608871507 0940929417 -591 01107002034 838263437204 -05500184174 05837693269
Log(NOI Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -01393113526 08699571229 -1300 01340931949 1397855428856 -10389144106 03006382455
Log(NOI Rentable sf) Walk Score 00045000262 10045101666 045 0003337636 1423581725818 13482675372 01797136327
Log(NOI Rentable sf) of Unfurnished Apartments -00007116645 09992885887 -007 00004679272 1358400867851 -15208872073 01306124688
Log(NOI Rentable sf) Average Apt Unit Size -00001937801 09998062387 -002 00003921685 1372175013367 -04941245389 06220083144
Log(NOI Rentable sf) Age 00034607088 1003466704 035 00044548378 1376438770548 07768428318 04385844885
Log(NOI Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00488697769 10500835966 501 00828565286 1429949688826 05898120243 0556247504
Concessions rentable sf Intercept 0091580439 10959049266 959 12772069558 1418541020247 00717036801 09429387231
Concessions rentable sf Green Certified (1=yes 0=no)[Yes] 01110697527 11174728508 1175 01814813765 1293641668833 06120173584 05416004511
Concessions rentable sf Gym (1=yes 0=no)[Yes] -05094051331 06008529 -3991 02955403985 1336296409402 -17236395961 00870857294
Concessions rentable sf Pool (1=yes 0=no)[Yes] -00886152984 09151975838 -848 02791864929 69298361986 -03174053928 07518903943
Concessions rentable sf Outdoor Common Area (1=yes 0=no)[Yes] 04576291372 15803228114 5803 03455726285 1408379747117 13242632646 01875606951
Concessions rentable sf Walk Score 00120688741 10121419968 121 00085630896 1409791646097 14094064916 01609170757
Concessions rentable sf of Unfurnished Apartments -00007045588 09992956894 -007 00012075862 1364744404696 -05834438741 05605574922
Concessions rentable sf Average Apt Unit Size -00003193903 09996806607 -003 00010135961 1389703034326 -03151061148 07531537379
Concessions rentable sf Age 00130223218 10131074815 131 00115086772 139464867267 11315220311 02597773256
Concessions rentable sf Building Mix (0=multifamily 1 = mixed-use)[Mixed] -03719888249 06893619462 -3106 02129597676 1426034459287 -17467563435 00828326573
Y Term Practical Interpretation increasedecrease Probgt|t| Total Rents Collected Subtotal Maintenance Property Insurance Total Expenses
Log(Total Rents Collected rentable sf) Green Certified (1=yes 0=no)[Yes] 1047
Hopkins Erin Hopkins Erincant provide a confidencd interval for it
009 130837635934 13311489362 01847683215 67633617021
Log(Subtotal Maintenance rentable sf) Green Certified (1=yes 0=no)[Yes] 1254 010 267662568114 08839769656 0489370035 133484365708
Log(Property Insurance rentable sf) Green Certified (1=yes 0=no)[Yes] 1319 005 44887430941 07758149459 02417429373 41261056301
Log(Total All Expenses Rentable sf) Green Certified (1=yes 0=no)[Yes] 1311 003 103066299601 12390720963 00474343371 5067818194
206907297628 2385711159 02072356932 9194606526
318766961061 22633758919 04452208547 128154919371
92461669878 09545425866 01280485733 38832017239
143925847783 15966970999 02187893202 54018796992
176714125561 02006495648 02876780533 58992020575
232897515382 0726170332 00787094673 69517596041
Non-green sf average Financial Green Impact sf Financial green impact differencesf Green impactapt Green impactproperty 51780910259 05203453537 00494304264 22609306646
178353784788 17547710996 02048626598 95961490345
Total Rents Collected sf 1047 2356 2603 $ 247 $ 2189 $ 551683 113769814112 12206875575 03432049607 118156743193
Subtotal Maintenance sf 1254 160 180 $ 020 $ 178 $ 44843 301239240258 10561596849 0204970258 110903994641
Property Insurance sf 1319 036 041 $ 005 $ 42 $ 10601 918584487 08376649832 00914663991 4146546939
Total Expenses sf 1311 852 963 $ 112 $ 990 $ 249535 265183769576 19294929362 03500602344 108447158033
226055903548 13557897255 03988791741 10971207244
334894587007 17970717884 05122599181 124640467569
5542518821 31394328066 04875650977 200668786372
112655732059 13445692884 02031297086 43995867235
129139526152 1168069688 00518980213 4651511283
Avg Apt Size Avg of Units 151098478261 13975 02004130435 51873478261
192155046737 21015937064 02616549091 8357602264
887 252 514840434082 52766375656 02375463267 174375582672
81421971535 06694487849 00899424521 2748686222
30246817244 21594341279 03308639536 97277207077
488523197409 27727612187 0646599696 130752346177
318750561687 38903340576 03852711795 142409683793
310384048163 43119745565 03335824966 138846874251
Green Certification Impacts 48578215663 0350218077 03095574205 23695139998
Dependent Variable Per Square Foot Per Apartment Per Property 192237574111 13374121765 02053242615 84027476689
Total Rents Collected $ 247 $ 2189 $ 551683 62979912788 05343191729 00816289996 45390243161
Subtotal Maintenance $ 020 $ 178 $ 44843 148378959661 14651715909 02004049722 80900580942
Property Insurance $ 005 $ 42 $ 10601 196798863889 11267176542 02499920663 90266351433
Total Expenses $ 112 $ 990 $ 249535 281508617823 09686995581 01118170881 119863342059
58584849751 0106864586 04187933949 44180073736
126756167712 1265684516 02796423029 87538414144
176550549412 24957340254 02343899179 88904473415
252421786235 28063734042 03142238564 133776179357
191875932907 13637043757 03440324697 987034902
159508092934 13109374847 02091697013 98967206196
342739845467 09614092295 03929892961 129755936769
192510355167 32804720611 01743191858 134560085596
257829360401 13666691797 01527100011 56329812754
358622391559 14251973427 03437553732 101098436889
217744157919 24046486586 01864745418 68711016642
222112557003 22022148788 07879755849 97807110765
202535763689 04548110217 10003436751 127886698915
155879815194 23816051158 04816227091 119033557201
11066078843 23413202706 06413902496 81812176347
151924709838 18873401649 05711000232 105403544539
163604010853 16052949068 02714509557 82030431823
133974400047 11018949984 03560839935 59096477943
133528448829 13647819036 02538331588 66159357367
187400008959 16889788117 030870974 115752907975
155246293804 18308314258 03852380906 116657595614
34082816218 05447090935 09838411173 13641308574
201220131342 11192465065 03188344246 93786154242
139108532616 13313944086 03887737775 69698295902
191656858207 15717927807 06002115982 119380046581
200921599083 12597596226 03267106334 82474085087
57536742874 00453219212 00300766262 10569757217
120548294116 11607892527 03275736725 74435143659
123188534664 1404028789 03510968138 78762080781
59543029729 0899713372 01652374748 28143456117
144215639215 19193238703 02899837711 67370054173
340046684831 19619729415 04325060698 120608464163
208244777176 28183367899 037 73104355304
234349752613 19432301154 0351134881 107484594815
136370903402 17029933791 01989576534 50899930579
149968383478 14209793679 02735642323 63813718869
81145819519 0920766851 00474564037 30674168785
226307446224 12529424404 02036192613 69235920453
132787305462 08047482453 01232346659 41808605432
251519090044 21798380428 0376480317 80396623551
492269138212 12196979039 02981674812 128316943664
107177195916 08016374211 0113808252 40618650625
128238528886 10751217142 01843492552 6476830365
57582611557 11908427448 0874334536 134004066235
43835651097 34822540694 03904989384 146763800425
205787355386 1429219053 02624404931 5321754079
463148430769 07709353846 06150738462 101617384615
377949548611 28670972222 08296944444 109743576389
360087564176 03501711352 18551055334 110041072447
18371979614 18232783153 07267294459 61184870906
678035276363 13443501226 10431616676 167533484248
56073359244 10138647576 01591318768 51440832304
189431314891 05101557395 03677787459 41010945328
383550342095 23244425576 04086557393 98151764619
115544349685 03310482653 037 40344851625
7552318246 0955023726 01241945851 24368780848
133083101881 19451300341 00938801919 48731378614
122308363087 13760780005 01439989014 45100624828
84908269322 10857071617 01155797799 36082570734
263116048067 10733627163 041902582 60372732395
76183752731 09621126305 01069925907 26170373239
172494454001 11781600332 03919686814 59016193131
342076422068 22741368431 03165622465 73557085549
215534567901 1485497076 02210396361 49118778428
314593058927 23798916958 02751353803 121998559501
586535191691 21029046354 02109026171 91979074439
138093310078 14595490221 02142269839 44286283792
227203645682 04584630891 05737147639 93344680527
572754455737 17713614269 01642228739 92545561671
60603870458 04541110154 01180884676 15902125521
358781017266 33847643857 06854022643 139200146946
342079216629 24477703832 0463059603 67166143833
651201231187 51019950176 12529595849 222094150831
369798669702 21700816928 0444474205 101410502507
421838575952 28823013788 05443272608 151399739597
626095189209 20826275416 04947814184 184651096472
214882899762 25034709712 06359683889 109534721722
274037120739 26718517094 037 67504928595
252667703737 25588590114 05379535858 109041874345
59253832495 01099622961 04620367393 19262874847
150862851538 18053109961 07398729558 71488607075
111196959019 00928417366 037 09427894164
667360269858 07921160191 02989609494 104670639024
2356 160 036 852
Log(Vacancies amp Rent Loss rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified -00318 00916 -00313 07289
Fitness Center 01008 01480 01060 04969
Pool 01126 01133 01192 03253
Outdoor Common Area 02673 01691 03064 01162
Walk Score 00102 00041 00102 00140
of Unfurnished Apartments -00003 00006 -00003 06769
Average Apt Unit Size -00003 00005 -00003 06067
Age -00026 00056 -00026 06428
Building Mix 00099 01008 00099 09219
Note R2 = 645
Log(Total Rents Collected rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00996 00591 01047 00941
Fitness Center 00684 00962 00708 04783
Pool 00089 00916 00089 09231
Outdoor Common Area -00837 01126 -00803 04587
Walk Score 00065 00028 00065 00218
of Unfurnished Apartments -00009 00004 -00009 00290
Average Apt Unit Size -00002 00003 -00002 05298
Age 00008 00037 00008 08237
Building Mix 00043 00695 00043 09507
Note R2 = 3318
Log(Total Actual Collections rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00944 00579 00991 01052
Fitness Center 00739 00942 00767 04343
Pool 00130 00886 00131 08834
Outdoor Common Area -00794 01102 -00764 04721
Walk Score 00066 00027 00066 00176
of Unfurnished Apartments -00008 00004 -00008 00322
Average Apt Unit Size -00002 00003 -00002 05034
Age 00015 00037 00015 06799
Building Mix 00249 00678 00252 07140
Note R2 = 3219
Log(Management Fee rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00199 00593 00201 07382
Fitness Center -00082 00958 -00082 09319
Pool 00174 00772 00176 08236
Outdoor Common Area 00153 01104 00154 08898
Walk Score 00070 00028 00071 00139
of Unfurnished Apartments -00014 00004 -00014 00007
Average Apt Unit Size -00005 00003 -00005 01317
Age 00014 00037 00014 07146
Building Mix -00674 00657 -00652 03066
Note R2 = 1697
Log(Total Utilities Rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00873 00646 00912 01786
Fitness Center 01176 01048 01248 02639
Pool 00116 00929 00116 09012
Outdoor Common Area 00223 01217 00225 08551
Walk Score 00069 00030 00069 00228
of Unfurnished Apartments -00007 00004 -00007 01153
Average Apt Unit Size -00003 00004 -00003 03381
Age 00049 00041 00049 02314
Building Mix -01198 00742 -01129 01087
Note R2 = 2171
Log(MampR rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00937 00639 00983 01447
Fitness Center 00038 01036 00038 09711
Pool 01320 00887 01411 01414
Outdoor Common Area -00522 01198 -00508 06639
Walk Score 00110 00029 00111 00002
of Unfurnished Apartments -00009 00004 -00009 00377
Average Apt Unit Size 00001 00004 00001 08665
Age 00076 00040 00077 00586
Building Mix 00598 00727 00616 04122
Note R2 = 2620
Log(Subtotal Maintenance rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 01181 00708 01254 00976
Fitness Center 00409 01149 00418 07221
Pool 01516 01008 01637 01377
Outdoor Common Area -00781 01332 -00751 05587
Walk Score 00119 00033 00120 00004
of Unfurnished Apartments -00008 00005 -00008 00838
Average Apt Unit Size 00005 00004 00005 01980
Age 00104 00045 00105 00207
Building Mix 02440 00812 02764 00031
Note R2 = 3218
Log(Property Insurance rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 01239 00627 01319 00503
Fitness Center -00035 01025 -00035 09726
Pool 00227 01040 00230 08273
Outdoor Common Area 00156 01207 00157 08974
Walk Score 00073 00030 00073 00175
of Unfurnished Apartments -00010 00004 -00010 00180
Average Apt Unit Size -00006 00004 -00006 00739
Age 00010 00040 00010 08091
Building Mix -00520 00749 -00507 04887
Note R2 = 3902
Log(Total All Expenses Rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 01232 00565 01311 00311
Fitness Center 00096 00919 00097 09168
Pool 01610 00847 01747 00607
Outdoor Common Area -00362 01072 -00355 07361
Walk Score 00087 00026 00088 00012
of Unfurnished Apartments -00009 00004 -00009 00216
Average Apt Unit Size -00002 00003 -00002 06220
Age 00016 00036 00016 06614
Building Mix 00158 00658 00159 08106
Note R2 = 2943
Log(NOI Rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00932 00702 00977 01863
Fitness Center 01113 01144 01177 03325
Pool -00609 01107 -00591 05838
Outdoor Common Area -01393 01341 -01300 03006
Walk Score 00045 00033 00045 01797
of Unfurnished Apartments -00007 00005 -00007 01306
Average Apt Unit Size -00002 00004 -00002 06220
Age 00035 00045 00035 04386
Building Mix 00489 00829 00501 05562
Note R2 = 3669
Concessions rentable sf
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 01111 01815 01175 05416
Fitness Center -05094 02955 -03991 00871
Pool -00886 02792 -00848 07519
Outdoor Common Area 04576 03456 05803 01876
Walk Score 00121 00086 00121 01609
of Unfurnished Apartments -00007 00012 -00007 05606
Average Apt Unit Size -00003 00010 -00003 07532
Age 00130 00115 00131 02598
Building Mix -03720 02130 -03106 00828
Note R2 = 2402
Y Term ~Bias Estimate EXP estimate Practical Interpretation increasedecrease Std Error DFDen t Ratio Probgt|t| Estimate Std Error Practical Interpretation Significance
Log(Vacancies amp Rent Loss rentable sf) Intercept 00893029328 10934118365 934 06116337119 1083785495375 01460072116 08841869197 Green Cert
Log(Vacancies amp Rent Loss rentable sf) Green Certified (1=yes 0=no)[Yes] -0031825668 09686754385 -313 009164153 139931853592 -03472843369 07288994904 Gym
Log(Vacancies amp Rent Loss rentable sf) Gym (1=yes 0=no)[Yes] 01007730854 11060256399 1060 01479591517 1412043780621 0681087207 0496931725
Log(Vacancies amp Rent Loss rentable sf) Pool (1=yes 0=no)[Yes] 01125884395 11191712315 1192 0113345701 506840641957 09933190097 032527325
Log(Vacancies amp Rent Loss rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 02672618233 13063824429 3064 01690835398 1429144230275 15806495624 01161688791
Log(Vacancies amp Rent Loss rentable sf) Walk Score 00101642302 10102160615 102 00040763935 1219632686439 24934369735 00139912712
Log(Vacancies amp Rent Loss rentable sf) of Unfurnished Apartments -0000250981 09997490505 -003 00006011213 142449410245 -04175214322 06769256723
Log(Vacancies amp Rent Loss rentable sf) Average Apt Unit Size -00002575258 09997425074 -003 00004990119 1315989429881 -05160713681 06066705884
Log(Vacancies amp Rent Loss rentable sf) Age -00026152008 09973882158 -026 00056263988 1391583522195 -04648090107 06427946925
Log(Vacancies amp Rent Loss rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00099001013 10099492694 099 0100821633 1384002310718 00981942166 09219201454
Log(Total Rents Collected rentable sf) Intercept 30195696974 204824761253 194825 04164909532 1420770663705 72500246992 0
Log(Total Rents Collected rentable sf) Green Certified (1=yes 0=no)[Yes] 00996165255 11047471944 1047
Hopkins Erin Hopkins Erincant provide a confidencd interval for it
00590542761 1286416575023 16868638818 0094053065 0099617 00590542761 1047
Log(Total Rents Collected rentable sf) Gym (1=yes 0=no)[Yes] 00684081888 10708023088 708 0096210834 1330244953516 07110237581 04783143732
Log(Total Rents Collected rentable sf) Pool (1=yes 0=no)[Yes] 00088712036 10089106694 089 00916333982 708572236354 00968119025 09231490817
Log(Total Rents Collected rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00836597449 09197441505 -803 01126005752 1404546011941 -07429779537 04587359136
Log(Total Rents Collected rentable sf) Walk Score 0006479206 10065002414 065 0002794287 1413201347208 23187331419 00218436949
Log(Total Rents Collected rentable sf) of Unfurnished Apartments -00008678845 0999132492 -009 00003932429 1359586026848 -22069932213 00289920945 variance components to talk about how much of the total error that is attribuatle to city
Log(Total Rents Collected rentable sf) Average Apt Unit Size -00002078918 09997921298 -002 00003300088 1382568544162 -06299582685 05297616269
Log(Total Rents Collected rentable sf) Age 00008364704 10008368204 008 00037477419 1387794745176 02231931757 08237133506
Log(Total Rents Collected rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00042999624 10043092206 043 0069466499 142786243042 00618998008 09507291881
Log(Total Actual Collections rentable sf) Intercept 30681072891 215011686418 205012 04070110501 1415072794017 75381424868 0
Log(Total Actual Collections rentable sf) Green Certified (1=yes 0=no)[Yes] 00944491888 10990533175 991 00578900924 1291837028308 16315259643 01052148631
Log(Total Actual Collections rentable sf) Gym (1=yes 0=no)[Yes] 00739127176 10767128233 767 0094247393 1335821297113 07842415071 04342868782
Log(Total Actual Collections rentable sf) Pool (1=yes 0=no)[Yes] 00130418887 10131273051 131 00885804441 654593026021 01472321442 08834013324
Log(Total Actual Collections rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00794248992 0923647384 -764 01101507414 1410305976559 -07210564195 04720684016
Log(Total Actual Collections rentable sf) Walk Score 00065530115 10065745295 066 00027272037 14047408887 24028316857 00175745575
Log(Total Actual Collections rentable sf) of Unfurnished Apartments -0000833078 09991672689 -008 00003850262 1365168778586 -21636916411 00322285543
Log(Total Actual Collections rentable sf) Average Apt Unit Size -00002169447 09997830788 -002 00003233576 1393662972101 -06709126047 05033865944
Log(Total Actual Collections rentable sf) Age 00015178151 10015189676 015 0003670824 1398532082324 04134807595 06798877496
Log(Total Actual Collections rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00249154485 10252284322 252 0067842812 1423468871242 03672525904 07139760316
Log(Management Fee rentable sf) Intercept -02128803278 08082528568 -1917 04254329778 585619088893 -0500385111 06186792644
Log(Management Fee rentable sf) Green Certified (1=yes 0=no)[Yes] 0019865513 10200641454 201 00593086525 1354977267554 03349513461 07381797603
Log(Management Fee rentable sf) Gym (1=yes 0=no)[Yes] -00082052627 09918283086 -082 00958032958 1386068833723 -00856469772 09318706455
Log(Management Fee rentable sf) Pool (1=yes 0=no)[Yes] 00174275629 10175803089 176 00771880661 202180965349 02257805358 08236388274
Log(Management Fee rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00153191452 10154370848 154 01103651216 1423896402644 01388042255 08898009734
Log(Management Fee rentable sf) Walk Score 00070459229 10070708039 071 00028008303 805559990921 25156550566 0013868745
Log(Management Fee rentable sf) of Unfurnished Apartments -0001358177 09986427449 -014 00003916726 1421224837061 -34676335479 00006950146
Log(Management Fee rentable sf) Average Apt Unit Size -00005130214 09994871101 -005 00003375961 1007585612206 -15196307445 0131735624
Log(Management Fee rentable sf) Age 00013613923 10013623194 014 00037151697 1277713043957 03664414822 07146417588
Log(Management Fee rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -00674463479 09347778721 -652 00657081953 1299283630266 -10264525997 03065854809
Log(Total Utilities Rentable sf) Intercept -03748562337 06873880949 -3126 04464274077 1402143832266 -08396801522 04025171642
Log(Total Utilities Rentable sf) Green Certified (1=yes 0=no)[Yes] 00873163337 10912418217 912 0064576715 1358457024729 13521334071 01785794114
Log(Total Utilities Rentable sf) Gym (1=yes 0=no)[Yes] 01175979311 11247917766 1248 01048349264 1384172144229 11217438221 02639135776
Log(Total Utilities Rentable sf) Pool (1=yes 0=no)[Yes] 00115680134 10116351816 116 00928512423 72633370166 01245865221 09011950626
Log(Total Utilities Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00222539972 10225034645 225 01216524447 1425571484619 01829309493 0855112103
Log(Total Utilities Rentable sf) Walk Score 00068649233 10068885409 069 00029812807 1396033046894 23026759291 00227754146
Log(Total Utilities Rentable sf) of Unfurnished Apartments -00006773222 09993229071 -007 00004273761 1401067188346 -15848386198 01152575495
Log(Total Utilities Rentable sf) Average Apt Unit Size -00003442022 0999655857 -003 00003581401 1425120147852 -09610825805 03381384619
Log(Total Utilities Rentable sf) Age 00048795122 10048914364 049 00040600929 1425855030198 12018227897 02314244716
Log(Total Utilities Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -01198355423 08870663096 -1129 00742421382 1413320388001 -16141176043 01087323819
Log(MampR rentable sf) Intercept -09030689887 04053238148 -5947 0437858541 1384008312652 -20624674504 00410332652
Log(MampR rentable sf) Green Certified (1=yes 0=no)[Yes] 00937424436 10982768413 983 00639155521 1376081716673 14666609392 01447499128
Log(MampR rentable sf) Gym (1=yes 0=no)[Yes] 00037664885 10037735907 038 01036113865 1396450691334 00363520715 09710535435
Log(MampR rentable sf) Pool (1=yes 0=no)[Yes] 01319613595 11410642271 1411 00887446725 719561267791 14869778183 0141389644
Log(MampR rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00521515872 09491849716 -508 01197720975 1428478988157 -04354235112 06639122497
Log(MampR rentable sf) Walk Score 00110131704 10110740386 111 00029197236 1385662208531 37719907631 00002391344
Log(MampR rentable sf) of Unfurnished Apartments -00008849955 09991153959 -009 00004219429 1410140957414 -20974297602 0037740228
Log(MampR rentable sf) Average Apt Unit Size 00000594506 10000594524 001 0000353075 1429981472006 01683796031 08665225748
Log(MampR rentable sf) Age 0007624822 1007653965 077 00039990018 142990029884 19066812998 00585678315
Log(MampR rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00598131349 10616381449 616 00727173027 1406732379184 08225433659 04121598071
Log(Subtotal Maintenance rentable sf) Intercept -07997344997 04494482769 -5506 0489167182 1380935604874 -16348899298 01043496414
Log(Subtotal Maintenance rentable sf) Green Certified (1=yes 0=no)[Yes] 01180969773 11253532398 1254 00707986514 1348907221481 16680681771 00976219515
Log(Subtotal Maintenance rentable sf) Gym (1=yes 0=no)[Yes] 00409351965 10417845921 418 01148796072 1378640116803 03563312718 07221372278
Log(Subtotal Maintenance rentable sf) Pool (1=yes 0=no)[Yes] 01515780559 11636691295 1637 0100780712 617547240206 15040383505 01376688864
Log(Subtotal Maintenance rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -0078076377 09248937833 -751 01331885868 1426567369893 -05862092154 05586613077
Log(Subtotal Maintenance rentable sf) Walk Score 0011889233 10119601909 120 00032614069 1377504918879 36454307183 00003773801
Log(Subtotal Maintenance rentable sf) of Unfurnished Apartments -00008153416 09991849907 -008 00004682078 1398534995511 -17414095506 00838107083
Log(Subtotal Maintenance rentable sf) Average Apt Unit Size 00005083484 10005084776 005 00003930253 1428434249161 12934242295 01979520949
Log(Subtotal Maintenance rentable sf) Age 00104106727 10104650523 105 00044515054 1428449267664 23386858733 00207383998
Log(Subtotal Maintenance rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 02440298206 12763823925 2764 0081177414 1402563601749 30061295196 00031359748
Log(Property Insurance rentable sf) Intercept -08916874806 04099633635 -5900 04516384713 1429624291993 -19743390727 00502702101
Log(Property Insurance rentable sf) Green Certified (1=yes 0=no)[Yes] 01239058141 11319092561 1319 0062692592 1281678143933 19764027959 00502564371
Log(Property Insurance rentable sf) Gym (1=yes 0=no)[Yes] -0003522638 09964835593 -035 01024969537 1314939748594 -0034368221 09726356404
Log(Property Insurance rentable sf) Pool (1=yes 0=no)[Yes] 00227423743 10230029538 230 01040308572 1125700947624 02186118131 08273482928
Log(Property Insurance rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00155809876 10157030041 157 01206677853 1368483458399 01291230096 08974498986
Log(Property Insurance rentable sf) Walk Score 00072977866 10073244804 073 00030353828 1428602075435 24042392705 00174877086
Log(Property Insurance rentable sf) of Unfurnished Apartments -00010061941 09989943119 -010 0000420017 1337858380697 -23956034086 00179774093
Log(Property Insurance rentable sf) Average Apt Unit Size -00006330482 09993671521 -006 00003514502 1338864329416 -18012458048 0073914725
Log(Property Insurance rentable sf) Age 00009661099 10009665767 010 00039921418 1338497494964 02420028921 08091483095
Log(Property Insurance rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -00520208103 09493091112 -507 00749301111 1411273861679 -06942577501 04886618561
Log(Total All Expenses Rentable sf) Intercept 17410862845 57035357214 47035 03946731547 141889623796 44114636723 00000201648
Log(Total All Expenses Rentable sf) Green Certified (1=yes 0=no)[Yes] 01231722438 11310792255 1311 00565275641 1341244163534 21789766772 00310802733
Log(Total All Expenses Rentable sf) Gym (1=yes 0=no)[Yes] 00096244971 10096709615 097 00919378962 1370603130567 01046847658 09167789899
Log(Total All Expenses Rentable sf) Pool (1=yes 0=no)[Yes] 01610294116 11747195186 1747 00846545666 801516751987 19021940341 00607378863
Log(Total All Expenses Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00361842114 09644626121 -355 01071504659 1418739239709 -03376953252 07360919324
Log(Total All Expenses Rentable sf) Walk Score 00087371658 10087754463 088 00026426023 1411809488418 33062734678 00011989895
Log(Total All Expenses Rentable sf) of Unfurnished Apartments -00008720665 09991283137 -009 00003752966 1389800988186 -23236728617 00215934791
Log(Total All Expenses Rentable sf) Average Apt Unit Size -0000155413 0999844599 -002 00003145108 1409449329598 -0494142052 06219751067
Log(Total All Expenses Rentable sf) Age 00015666155 10015678433 016 00035695206 1412387206124 04388868073 06614142124
Log(Total All Expenses Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00157918953 10159172462 159 00657593447 1424551160559 02401467861 08105616925
Log(NOI Rentable sf) Intercept 27416093787 155119295878 145119 049686036 1426328429735 55178669889 0000000157
Log(NOI Rentable sf) Green Certified (1=yes 0=no)[Yes] 00932241108 10977077159 977 00701671113 1292740226257 13286012361 01863200879
Log(NOI Rentable sf) Gym (1=yes 0=no)[Yes] 0111280688 11177085902 1177 0114413579 13320261997 09726178396 03325061802
Log(NOI Rentable sf) Pool (1=yes 0=no)[Yes] -00608871507 0940929417 -591 01107002034 838263437204 -05500184174 05837693269
Log(NOI Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -01393113526 08699571229 -1300 01340931949 1397855428856 -10389144106 03006382455
Log(NOI Rentable sf) Walk Score 00045000262 10045101666 045 0003337636 1423581725818 13482675372 01797136327
Log(NOI Rentable sf) of Unfurnished Apartments -00007116645 09992885887 -007 00004679272 1358400867851 -15208872073 01306124688
Log(NOI Rentable sf) Average Apt Unit Size -00001937801 09998062387 -002 00003921685 1372175013367 -04941245389 06220083144
Log(NOI Rentable sf) Age 00034607088 1003466704 035 00044548378 1376438770548 07768428318 04385844885
Log(NOI Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00488697769 10500835966 501 00828565286 1429949688826 05898120243 0556247504
Concessions rentable sf Intercept 0091580439 10959049266 959 12772069558 1418541020247 00717036801 09429387231
Concessions rentable sf Green Certified (1=yes 0=no)[Yes] 01110697527 11174728508 1175 01814813765 1293641668833 06120173584 05416004511
Concessions rentable sf Gym (1=yes 0=no)[Yes] -05094051331 06008529 -3991 02955403985 1336296409402 -17236395961 00870857294
Concessions rentable sf Pool (1=yes 0=no)[Yes] -00886152984 09151975838 -848 02791864929 69298361986 -03174053928 07518903943
Concessions rentable sf Outdoor Common Area (1=yes 0=no)[Yes] 04576291372 15803228114 5803 03455726285 1408379747117 13242632646 01875606951
Concessions rentable sf Walk Score 00120688741 10121419968 121 00085630896 1409791646097 14094064916 01609170757
Concessions rentable sf of Unfurnished Apartments -00007045588 09992956894 -007 00012075862 1364744404696 -05834438741 05605574922
Concessions rentable sf Average Apt Unit Size -00003193903 09996806607 -003 00010135961 1389703034326 -03151061148 07531537379
Concessions rentable sf Age 00130223218 10131074815 131 00115086772 139464867267 11315220311 02597773256
Concessions rentable sf Building Mix (0=multifamily 1 = mixed-use)[Mixed] -03719888249 06893619462 -3106 02129597676 1426034459287 -17467563435 00828326573
Page 20: AUGUST 21- 23, 2018 • CLEVELAND, OHIO€¦ · Business Case 2.0: New Research Around High Performing Buildings Thursday 23 rd, 2018 10:30am – 12:00pm

Looking Ahead ndash our visionTo have energy factors fully and routinely incorporated in commercial mortgage valuation accelerating demand for buildings with lower energy risk

20

Show that energy matters

Develop and pilot

interventions Disseminate

best practices Institutionalize

Analysis of energy impacts

Long term

Case studies on actual mortgage loans

Protocols and tools for lenders and owners

Industry Standards

Scope of current effort

RecommendationsLenders Ask owners to provide info on energy cost range

Account for variations in energy use and energy price Could be done as part of Property Condition Assessment Can reference ASTM standard

Incorporate energy risk factor into underwriting and terms eg Interest rate discount for lower risk

Offer additional loan proceeds for EE investments

Owners Ask lenders to account for energy efficiency when setting mortgage

terms Provide data on energy costs to lender

Historical and anticipated In appraisal andor PCA

21

Thank you

Money Matters Exploring the Financial Impacts of Green Certifications in the Multifamily Rental Sector

Erin A Hopkins PhD CAPS LEED Green AssociateAssistant Professor of Property Management

bull Sample 153 properties from 2 of National Multifamily Housing Councilrsquos 2016 50 Largest Apartment Managers

bull Green-certified 2288 of properties (35 properties)bull Methodology Multiple Regression Analysisbull Controls Location Fitness Center Pool Outdoor Common Area Walk

Score of Unfurnished Apartments Average Apartment Unit Size Age Building Mix

bull Limitations Building class not directly taken into account

Overview of Research

Certifications Represented in Sample

Austin Energy Green Buildingreg (AEGB)

Rating System(3)

ENERGY STARreg

(1)

Florida Green Building Coalition

(FGBC)(1)

GreenPoint Rated(4)

LEEDreg

(16)

National Green Building Standardtrade

(NGBS)(11)

Properties by City

2

4

2 2 21 1

3

1 1 12 2

1 1 1

6

1 1

8

11

4

6

14

3

1

19

3

1 1

7

43

2

9

18

2 2

0

2

4

6

8

10

12

14

16

18

20

Summary Statistics of City Datan=153

Summary Satistics of City Data Green Bldgs Summary Satistics of City Data Non-Green Comparables

Descriptive

97

71

100

31

89

69

93

24

0

20

40

60

80

100

120

Fitness Center Pool Outdoor Common Area Mixed-Use Property

Summary Statistics of Green vs Non-Green Propertiesn = 153

Green Non-Green

Descriptive

73228

866

2011

74

259

894

2003

0

500

1000

1500

2000

2500

Walk Score Average Number of Units Average Apt Unit Size (sf) Age

Summary Statistics of Green vs Non-Green Properties

n = 153

Green Non-Green

Findings

Total Rents Collected1047

Total Maintenance1254

Property Insurance1319

Total Expenses1311

Higher rents and expenses

Financial Impacts of Green

Dependent Variable Per Square Foot Per Apartment Per PropertyTotal Rents Collected 247$ 2189$ 551683$ Subtotal Maintenance 020$ 178$ 44843$ Property Insurance 005$ 42$ 10601$ Total Expenses 112$ 990$ 249535$

Coefficients Standard Errors

Tables

Summary of Green Impacts

Summary Table

Discussion

bull Assume efficient operations will offset the higher rent

bull Philanthropic motivesbull Prestige motivesbull Green buildings tend to be newermore

likely to offer the more sought-after amenities and finishes

bull Tend to be in higher-income areaslikely have higher rents

Different motivations for paying higher rent may be in

play

Discussion

Higher Operating Expenses a Surprise

Does not align with much of the existing researchhellipbut no research on effects of green certification on total operating expenses within multifamily rental sector

Many of the certifications represented in this study focus on the design phase of the property vs the operations and maintenance phase

And although promotion of sustainability is on the rise in the multifamily housing sector staff may remain unfamiliar with the unique operations and maintenance of green

buildings

Final Thoughts

Apartment homes represent $13 trillion to the US economy and 5 million new rental households are expected by 2023 (National Multifamily Housing Council 2015)

Upfront capital constraints regulatory issues knowledge limitations and marketing concerns may diminish the attractiveness of multifamily rental green building

certification if not properly managed

Most studies focus on office sector andor strictly rents or property value

This study begins to look at the multifamily rental sector and offer a more comprehensive analysis

Further research is needed with larger datasets to understand effects of green certification on income statement components in the apartment industry as NOI

ultimately determines property market valueOptimism that this study can be the impetus for further research contributions on the

financial environmental and resident satisfaction impacts of green practices and certifications on the multifamily rental sector

Contact informationErin A Hopkinserinz1vtedu

Acknowledgementsbull Todd Feist Sustainability Program Manager at The Institute of

Real Estate Management (IREMreg) for his assistance with this research project

bull Yardi and IREMreg for the grant awarded to support this researchbull The two property management companies for sharing their data

BUILDING PERFORMANCE

UNLOCKINGVALUE

New DOE-driven Research Around High Performing Buildings

AUGUST 23 2018

ANDREW WHITEASSOCIATE MANAGERawhiteretechadvisorscom

2015-2016 bull Research design working group pilot study data lab

2017 bull Connect to Real Estate Research Institute (RERI) Literature review and gap analysis

2018 bull Research agenda request for proposals research project selection and execution

Context Setting ndash DOE Research EffortWhat are the impacts of energy efficiency and high-performance building

features on financial performance of commercial real estate

RERIrsquos mission is to encourage and reward research on real estate as an investment and as an asset class that is both academically rigorous and of value to the institutional real estate investment profession In addition RERI serves to provide a forum through which the real estate academic professional and regulatory communities can interact facilitating the exchange of insights amongst these stakeholders

RERI Overview

Sponsors

Build upon DOErsquos Review of Studies in the Market

bull Focus explicitly on peer-reviewed papers Gap analysis of existing research to

identifybull Questions that have already been

sufficiently provenbull Holes in existing body of research

Academic Inputbull Guidance on which studies to includebull Suggestions for how to conduct analysis

Literature Review Objectives

Literature Review Results

LEED

ENER

GY

ST

AR

labe

l

ENER

GY

ST

AR

sc

ore

Ener

gy u

se

BR

EEA

M

Ener

gy

Perf

orm

anc

e Cer

tific

ates

(U

K)

BO

MA

B

EST

Wal

kabi

lity

Non

-ene

rgy

gree

n fe

atur

es

Oth

er

Rent 20 18 1 2 2 2 1 1 1Rent concessions 1 1 1Sales price 9 11 1 1 1 1Assessed value 2 2Market value 1 2 1 2 1Occupancy 10 9 1Lease renewals 1 1 1Service charge 1Operating cost 2 3Energy cost 2 3Tenant satisfaction 1 1 1Sales time 1 1Default rate 2 1Capitalization rate 1 2 2 1Net operating income 1 1 1Loan to value ratio 1 1Debt service coverage ratio 1 1Worker productivity 1 1Other 5 4 1 4 2 2

There is considerable evidence that green building certifications correlate with increased economic value primarily via higher rents and sales prices

bull How do we move beyond certification to analyze performancebull Correlation vs Causation

bull What is driving added value Is it green features and efficiency the green labels themselves or other desirable features often included in certified buildings

Panel studies could help reduce some of the uncertainty and noise Full results presented at ACEEE Summer Study

bull Raising the Rent Premium Moving Green Building Research Beyond Certifications and Rent

bull Cindy Zhu Andrew White Paul Mathew Jeff Deason Philip Coleman

Literature Review Results

Research Agenda Core QuestionldquoHow does ltenergygreen metricgt affect ltfinancial value metricgtrdquo

EnergyGreen Metric

Site energy use or EUI

Source energy use or EUI

Energy cost or costsf

ENERGY STAR score

ENERGY STAR label

Green Building Certification (LEED BOMA 360)

Green Building Certification level (eg LEED Silver Gold)

Financial Value Metric

VacancyOccupancy Sales Price

Leasing Velocity (absorption speed of sales leasing)

Regulatory amp Compliance Risk

Tenant Renewals Insurance (rates ability)

Tenant Satisfaction Default Risk

Rental Income and Rent Concessions Debt Service Coverage Ratio

Marketing Costs Access to Funding

Utility Costs Maintenance OpEx Interest Rates

Obsolescence Reserves

Capitalization Rates

12 proposals received 5 projects selected Criteria

bull Department of Energy goals

bull Impact on Commercial Real Estate (CRE) Industry

bull Feasibility and Interest

bull Quality and Validity

Proposal Reviews

Jim Clayton Avis Devine (York University) and Rogier Holtermans(University of Guelph) Analyzing four types of energy

efficiency interventions on financial components that impact property-level NOI

bull How do interventions impact different aspects of building operations and their subsequent financial impact

Beyond Environmental Building Certification The Impact of Environmental Interventions on Commercial Real Estate Operations

Piet Eichholtz and Nils Kok (Maastricht University) and RogierHoltermans (University of Guelph) Three key questions

bull How is environmental building certification related to commercial building energy consumption

bull How does aging affect the energy consumption of the commercial building stock

bull To what extent do specific energy efficiency investments affect energy consumption in commercial real estate

The Dynamics of Energy Consumption in Commercial Real Estate

Sofia Dermisi Chris Lee and YoungjinChoe (University of Washington) Exploring the effect of disclosure

policies on office building marketability while assessing potential links between market performance of sustainable assets

bull Before and after the disclosure policies while considering market cycles

bull Before and after ENERGY STAR andor LEED certification

Markets included San Francisco Washington DC

Effect of Energy Benchmarking and Disclosure on Office Building Marketability

Dirk Brounen (Tilburg University) and Gianluca Marcato (Reading University) Analyzing the adoption of GRESB within the public real estate markets and

predicting a potential impact of GRESB scores on REIT returns

Sustainable Insights and Public Real Estate Performance GRESB Effects in REIT Markets

Constantine Kontokosta (New York University) Franz Fuerst(Cambridge University) Gary Pivo (University of Arizona) amp Jacob Sagi (UNC Chapel Hill) Utilizing NYC data to empirically model

bull the spread between the premium for labeled (energy efficient) buildings and the cost to retrofit an under-performing building to meet the same standard which will allow us to understand how much of the observed premium is attributable to energy efficiency and how much can be assigned to other perceived benefits (marketing construction quality etc)

bull the hurdle rate for energy retrofit investments using actual audit data and permitted renovation work

Estimating Office and Residential Building Energy Retrofit Hurdle Rates and Risk Arbitrage in Energy Efficiency Investments

Collecting data for continued Data Lab analysis Presenting Research findings

bull Interim research results ndash IPC Research Symposium (October)bull Greenbuild Session (November)bull RERI Research Conference (April)bull Final research results ndash Better Buildings Webinars Summit 2019 (TBA)

Work with DOE case study and data analysis opportunities abound

Next Steps

Paul Mathew

Lawrence Berkeley National Laboratorypamathewlblgov

Paulo Issler

University of California Berkeleypauloisslerberkeleyedu

Erin Hopkins

Virginia Techerinz1vtedu

Andrew White

RE Tech Advisorsawhiteretechadvisorscom

Contact Info

  • Slide Number 1
  • Business Case 20 New Research Around High Performing Buildings
  • Panelists
  • Energy and Default Risk in Commercial Mortgages
  • Paulo Issler
  • Acknowledgements
  • The link between energy and CRE mortgages
  • Approach Impact of energy on default rate
  • Default risk and source EUI (cont)
  • Default risk and source EUI
  • Default risk and source EUI (cont)
  • Default risk and source EUI (cont)
  • What are the impacts on specific loans
  • Case Studies
  • Denver Office ndash energy use and default risk
  • Denver Office ndash energy price and default risk
  • Case Studies ndash summary of risks impacts
  • Case Studies ndash business impact
  • Looking Ahead
  • Looking Ahead ndash our vision
  • Recommendations
  • Slide Number 22
  • Money Matters Exploring the Financial Impacts of Green Certifications in the Multifamily Rental SectorErin A Hopkins PhD CAPS LEED Green AssociateAssistant Professor of Property Management
  • Overview of Research
  • Certifications Represented in Sample
  • Properties by City
  • Descriptive
  • Descriptive
  • Findings
  • Financial Impacts of Green
  • Discussion
  • Discussion
  • Final Thoughts
  • Slide Number 34
  • Slide Number 35
  • Context Setting ndash DOE Research Effort
  • RERI Overview
  • Literature Review Objectives
  • Literature Review Results
  • Literature Review Results
  • Research Agenda Core Question
  • Proposal Reviews
  • Beyond Environmental Building Certification The Impact of Environmental Interventions on Commercial Real Estate Operations
  • The Dynamics of Energy Consumption in Commercial Real Estate
  • Effect of Energy Benchmarking and Disclosure on Office Building Marketability
  • Sustainable Insights and Public Real Estate Performance GRESB Effects in REIT Markets
  • Estimating Office and Residential Building Energy Retrofit Hurdle Rates and Risk Arbitrage in Energy Efficiency Investments
  • Next Steps
  • Contact Info
Y Term ~Bias Estimate EXP estimate Practical Interpretation increasedecrease Std Error DFDen t Ratio Probgt|t| Log(Vacancies amp Rent Loss rentable sf) Log(Total Rents Collected rentable sf) Log(Total Actual Collections rentable sf) Log(Management Fee rentable sf) Log(Total Utilities Rentable sf) Log(MampR rentable sf) Log(Subtotal Maintenance rentable sf) Log(Property Insurance rentable sf) Log(Total All Expenses Rentable sf) Log(NOI Rentable sf) Concessions rentable sf
Log(Vacancies amp Rent Loss rentable sf) Intercept 00893029328 10934118365 934 06116337119 1083785495375 01460072116 08841869197 Green Certified (1=yes 0=no)[Yes] -00318 01047 00991
Log(Vacancies amp Rent Loss rentable sf) Green Certified (1=yes 0=no)[Yes] -0031825668 09686754385 -313 009164153 139931853592 -03472843369 07288994904 Gym (1=yes 0=no)[Yes] 01060 00708 00767
Log(Vacancies amp Rent Loss rentable sf) Gym (1=yes 0=no)[Yes] 01007730854 11060256399 1060 01479591517 1412043780621 0681087207 0496931725 Pool (1=yes 0=no)[Yes] 01126 00089 00131
Log(Vacancies amp Rent Loss rentable sf) Pool (1=yes 0=no)[Yes] 01125884395 11191712315 1192 0113345701 506840641957 09933190097 032527325 Outdoor Common Area (1=yes 0=no)[Yes] 02673 -00803 -00764
Log(Vacancies amp Rent Loss rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 02672618233 13063824429 3064 01690835398 1429144230275 15806495624 01161688791 Walk Score 00102 00065 00066
Log(Vacancies amp Rent Loss rentable sf) Walk Score 00101642302 10102160615 102 00040763935 1219632686439 24934369735 00139912712 of Unfurnished Apartments -00003 -00009 -00008
Log(Vacancies amp Rent Loss rentable sf) of Unfurnished Apartments -0000250981 09997490505 -003 00006011213 142449410245 -04175214322 06769256723 Average Apt Unit Size -00003 -00002 -00002
Log(Vacancies amp Rent Loss rentable sf) Average Apt Unit Size -00002575258 09997425074 -003 00004990119 1315989429881 -05160713681 06066705884 Age -00026 00008 00015
Log(Vacancies amp Rent Loss rentable sf) Age -00026152008 09973882158 -026 00056263988 1391583522195 -04648090107 06427946925 Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00099 00043 00252
Log(Vacancies amp Rent Loss rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00099001013 10099492694 099 0100821633 1384002310718 00981942166 09219201454
Log(Total Rents Collected rentable sf) Intercept 30195696974 204824761253 194825 04164909532 1420770663705 72500246992 0
Log(Total Rents Collected rentable sf) Green Certified (1=yes 0=no)[Yes] 00996165255 11047471944 1047
Hopkins Erin Hopkins Erincant provide a confidencd interval for it
00590542761 1286416575023 16868638818 0094053065
Log(Total Rents Collected rentable sf) Gym (1=yes 0=no)[Yes] 00684081888 10708023088 708 0096210834 1330244953516 07110237581 04783143732
Log(Total Rents Collected rentable sf) Pool (1=yes 0=no)[Yes] 00088712036 10089106694 089 00916333982 708572236354 00968119025 09231490817
Log(Total Rents Collected rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00836597449 09197441505 -803 01126005752 1404546011941 -07429779537 04587359136
Log(Total Rents Collected rentable sf) Walk Score 0006479206 10065002414 065 0002794287 1413201347208 23187331419 00218436949
Log(Total Rents Collected rentable sf) of Unfurnished Apartments -00008678845 0999132492 -009 00003932429 1359586026848 -22069932213 00289920945
Log(Total Rents Collected rentable sf) Average Apt Unit Size -00002078918 09997921298 -002 00003300088 1382568544162 -06299582685 05297616269
Log(Total Rents Collected rentable sf) Age 00008364704 10008368204 008 00037477419 1387794745176 02231931757 08237133506
Log(Total Rents Collected rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00042999624 10043092206 043 0069466499 142786243042 00618998008 09507291881
Log(Total Actual Collections rentable sf) Intercept 30681072891 215011686418 205012 04070110501 1415072794017 75381424868 0
Log(Total Actual Collections rentable sf) Green Certified (1=yes 0=no)[Yes] 00944491888 10990533175 991 00578900924 1291837028308 16315259643 01052148631
Log(Total Actual Collections rentable sf) Gym (1=yes 0=no)[Yes] 00739127176 10767128233 767 0094247393 1335821297113 07842415071 04342868782
Log(Total Actual Collections rentable sf) Pool (1=yes 0=no)[Yes] 00130418887 10131273051 131 00885804441 654593026021 01472321442 08834013324
Log(Total Actual Collections rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00794248992 0923647384 -764 01101507414 1410305976559 -07210564195 04720684016
Log(Total Actual Collections rentable sf) Walk Score 00065530115 10065745295 066 00027272037 14047408887 24028316857 00175745575
Log(Total Actual Collections rentable sf) of Unfurnished Apartments -0000833078 09991672689 -008 00003850262 1365168778586 -21636916411 00322285543
Log(Total Actual Collections rentable sf) Average Apt Unit Size -00002169447 09997830788 -002 00003233576 1393662972101 -06709126047 05033865944
Log(Total Actual Collections rentable sf) Age 00015178151 10015189676 015 0003670824 1398532082324 04134807595 06798877496
Log(Total Actual Collections rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00249154485 10252284322 252 0067842812 1423468871242 03672525904 07139760316
Log(Management Fee rentable sf) Intercept -02128803278 08082528568 -1917 04254329778 585619088893 -0500385111 06186792644
Log(Management Fee rentable sf) Green Certified (1=yes 0=no)[Yes] 0019865513 10200641454 201 00593086525 1354977267554 03349513461 07381797603
Log(Management Fee rentable sf) Gym (1=yes 0=no)[Yes] -00082052627 09918283086 -082 00958032958 1386068833723 -00856469772 09318706455
Log(Management Fee rentable sf) Pool (1=yes 0=no)[Yes] 00174275629 10175803089 176 00771880661 202180965349 02257805358 08236388274
Log(Management Fee rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00153191452 10154370848 154 01103651216 1423896402644 01388042255 08898009734
Log(Management Fee rentable sf) Walk Score 00070459229 10070708039 071 00028008303 805559990921 25156550566 0013868745
Log(Management Fee rentable sf) of Unfurnished Apartments -0001358177 09986427449 -014 00003916726 1421224837061 -34676335479 00006950146
Log(Management Fee rentable sf) Average Apt Unit Size -00005130214 09994871101 -005 00003375961 1007585612206 -15196307445 0131735624
Log(Management Fee rentable sf) Age 00013613923 10013623194 014 00037151697 1277713043957 03664414822 07146417588
Log(Management Fee rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -00674463479 09347778721 -652 00657081953 1299283630266 -10264525997 03065854809
Log(Total Utilities Rentable sf) Intercept -03748562337 06873880949 -3126 04464274077 1402143832266 -08396801522 04025171642
Log(Total Utilities Rentable sf) Green Certified (1=yes 0=no)[Yes] 00873163337 10912418217 912 0064576715 1358457024729 13521334071 01785794114
Log(Total Utilities Rentable sf) Gym (1=yes 0=no)[Yes] 01175979311 11247917766 1248 01048349264 1384172144229 11217438221 02639135776
Log(Total Utilities Rentable sf) Pool (1=yes 0=no)[Yes] 00115680134 10116351816 116 00928512423 72633370166 01245865221 09011950626
Log(Total Utilities Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00222539972 10225034645 225 01216524447 1425571484619 01829309493 0855112103
Log(Total Utilities Rentable sf) Walk Score 00068649233 10068885409 069 00029812807 1396033046894 23026759291 00227754146
Log(Total Utilities Rentable sf) of Unfurnished Apartments -00006773222 09993229071 -007 00004273761 1401067188346 -15848386198 01152575495
Log(Total Utilities Rentable sf) Average Apt Unit Size -00003442022 0999655857 -003 00003581401 1425120147852 -09610825805 03381384619
Log(Total Utilities Rentable sf) Age 00048795122 10048914364 049 00040600929 1425855030198 12018227897 02314244716
Log(Total Utilities Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -01198355423 08870663096 -1129 00742421382 1413320388001 -16141176043 01087323819
Log(MampR rentable sf) Intercept -09030689887 04053238148 -5947 0437858541 1384008312652 -20624674504 00410332652
Log(MampR rentable sf) Green Certified (1=yes 0=no)[Yes] 00937424436 10982768413 983 00639155521 1376081716673 14666609392 01447499128
Log(MampR rentable sf) Gym (1=yes 0=no)[Yes] 00037664885 10037735907 038 01036113865 1396450691334 00363520715 09710535435
Log(MampR rentable sf) Pool (1=yes 0=no)[Yes] 01319613595 11410642271 1411 00887446725 719561267791 14869778183 0141389644
Log(MampR rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00521515872 09491849716 -508 01197720975 1428478988157 -04354235112 06639122497
Log(MampR rentable sf) Walk Score 00110131704 10110740386 111 00029197236 1385662208531 37719907631 00002391344
Log(MampR rentable sf) of Unfurnished Apartments -00008849955 09991153959 -009 00004219429 1410140957414 -20974297602 0037740228
Log(MampR rentable sf) Average Apt Unit Size 00000594506 10000594524 001 0000353075 1429981472006 01683796031 08665225748
Log(MampR rentable sf) Age 0007624822 1007653965 077 00039990018 142990029884 19066812998 00585678315
Log(MampR rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00598131349 10616381449 616 00727173027 1406732379184 08225433659 04121598071
Log(Subtotal Maintenance rentable sf) Intercept -07997344997 04494482769 -5506 0489167182 1380935604874 -16348899298 01043496414
Log(Subtotal Maintenance rentable sf) Green Certified (1=yes 0=no)[Yes] 01180969773 11253532398 1254 00707986514 1348907221481 16680681771 00976219515
Log(Subtotal Maintenance rentable sf) Gym (1=yes 0=no)[Yes] 00409351965 10417845921 418 01148796072 1378640116803 03563312718 07221372278
Log(Subtotal Maintenance rentable sf) Pool (1=yes 0=no)[Yes] 01515780559 11636691295 1637 0100780712 617547240206 15040383505 01376688864
Log(Subtotal Maintenance rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -0078076377 09248937833 -751 01331885868 1426567369893 -05862092154 05586613077
Log(Subtotal Maintenance rentable sf) Walk Score 0011889233 10119601909 120 00032614069 1377504918879 36454307183 00003773801
Log(Subtotal Maintenance rentable sf) of Unfurnished Apartments -00008153416 09991849907 -008 00004682078 1398534995511 -17414095506 00838107083
Log(Subtotal Maintenance rentable sf) Average Apt Unit Size 00005083484 10005084776 005 00003930253 1428434249161 12934242295 01979520949
Log(Subtotal Maintenance rentable sf) Age 00104106727 10104650523 105 00044515054 1428449267664 23386858733 00207383998
Log(Subtotal Maintenance rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 02440298206 12763823925 2764 0081177414 1402563601749 30061295196 00031359748
Log(Property Insurance rentable sf) Intercept -08916874806 04099633635 -5900 04516384713 1429624291993 -19743390727 00502702101
Log(Property Insurance rentable sf) Green Certified (1=yes 0=no)[Yes] 01239058141 11319092561 1319 0062692592 1281678143933 19764027959 00502564371
Log(Property Insurance rentable sf) Gym (1=yes 0=no)[Yes] -0003522638 09964835593 -035 01024969537 1314939748594 -0034368221 09726356404
Log(Property Insurance rentable sf) Pool (1=yes 0=no)[Yes] 00227423743 10230029538 230 01040308572 1125700947624 02186118131 08273482928
Log(Property Insurance rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00155809876 10157030041 157 01206677853 1368483458399 01291230096 08974498986
Log(Property Insurance rentable sf) Walk Score 00072977866 10073244804 073 00030353828 1428602075435 24042392705 00174877086
Log(Property Insurance rentable sf) of Unfurnished Apartments -00010061941 09989943119 -010 0000420017 1337858380697 -23956034086 00179774093
Log(Property Insurance rentable sf) Average Apt Unit Size -00006330482 09993671521 -006 00003514502 1338864329416 -18012458048 0073914725
Log(Property Insurance rentable sf) Age 00009661099 10009665767 010 00039921418 1338497494964 02420028921 08091483095
Log(Property Insurance rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -00520208103 09493091112 -507 00749301111 1411273861679 -06942577501 04886618561
Log(Total All Expenses Rentable sf) Intercept 17410862845 57035357214 47035 03946731547 141889623796 44114636723 00000201648
Log(Total All Expenses Rentable sf) Green Certified (1=yes 0=no)[Yes] 01231722438 11310792255 1311 00565275641 1341244163534 21789766772 00310802733
Log(Total All Expenses Rentable sf) Gym (1=yes 0=no)[Yes] 00096244971 10096709615 097 00919378962 1370603130567 01046847658 09167789899
Log(Total All Expenses Rentable sf) Pool (1=yes 0=no)[Yes] 01610294116 11747195186 1747 00846545666 801516751987 19021940341 00607378863
Log(Total All Expenses Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00361842114 09644626121 -355 01071504659 1418739239709 -03376953252 07360919324
Log(Total All Expenses Rentable sf) Walk Score 00087371658 10087754463 088 00026426023 1411809488418 33062734678 00011989895
Log(Total All Expenses Rentable sf) of Unfurnished Apartments -00008720665 09991283137 -009 00003752966 1389800988186 -23236728617 00215934791
Log(Total All Expenses Rentable sf) Average Apt Unit Size -0000155413 0999844599 -002 00003145108 1409449329598 -0494142052 06219751067
Log(Total All Expenses Rentable sf) Age 00015666155 10015678433 016 00035695206 1412387206124 04388868073 06614142124
Log(Total All Expenses Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00157918953 10159172462 159 00657593447 1424551160559 02401467861 08105616925
Log(NOI Rentable sf) Intercept 27416093787 155119295878 145119 049686036 1426328429735 55178669889 0000000157
Log(NOI Rentable sf) Green Certified (1=yes 0=no)[Yes] 00932241108 10977077159 977 00701671113 1292740226257 13286012361 01863200879
Log(NOI Rentable sf) Gym (1=yes 0=no)[Yes] 0111280688 11177085902 1177 0114413579 13320261997 09726178396 03325061802
Log(NOI Rentable sf) Pool (1=yes 0=no)[Yes] -00608871507 0940929417 -591 01107002034 838263437204 -05500184174 05837693269
Log(NOI Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -01393113526 08699571229 -1300 01340931949 1397855428856 -10389144106 03006382455
Log(NOI Rentable sf) Walk Score 00045000262 10045101666 045 0003337636 1423581725818 13482675372 01797136327
Log(NOI Rentable sf) of Unfurnished Apartments -00007116645 09992885887 -007 00004679272 1358400867851 -15208872073 01306124688
Log(NOI Rentable sf) Average Apt Unit Size -00001937801 09998062387 -002 00003921685 1372175013367 -04941245389 06220083144
Log(NOI Rentable sf) Age 00034607088 1003466704 035 00044548378 1376438770548 07768428318 04385844885
Log(NOI Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00488697769 10500835966 501 00828565286 1429949688826 05898120243 0556247504
Concessions rentable sf Intercept 0091580439 10959049266 959 12772069558 1418541020247 00717036801 09429387231
Concessions rentable sf Green Certified (1=yes 0=no)[Yes] 01110697527 11174728508 1175 01814813765 1293641668833 06120173584 05416004511
Concessions rentable sf Gym (1=yes 0=no)[Yes] -05094051331 06008529 -3991 02955403985 1336296409402 -17236395961 00870857294
Concessions rentable sf Pool (1=yes 0=no)[Yes] -00886152984 09151975838 -848 02791864929 69298361986 -03174053928 07518903943
Concessions rentable sf Outdoor Common Area (1=yes 0=no)[Yes] 04576291372 15803228114 5803 03455726285 1408379747117 13242632646 01875606951
Concessions rentable sf Walk Score 00120688741 10121419968 121 00085630896 1409791646097 14094064916 01609170757
Concessions rentable sf of Unfurnished Apartments -00007045588 09992956894 -007 00012075862 1364744404696 -05834438741 05605574922
Concessions rentable sf Average Apt Unit Size -00003193903 09996806607 -003 00010135961 1389703034326 -03151061148 07531537379
Concessions rentable sf Age 00130223218 10131074815 131 00115086772 139464867267 11315220311 02597773256
Concessions rentable sf Building Mix (0=multifamily 1 = mixed-use)[Mixed] -03719888249 06893619462 -3106 02129597676 1426034459287 -17467563435 00828326573
Y Term Practical Interpretation increasedecrease Probgt|t| Total Rents Collected Subtotal Maintenance Property Insurance Total Expenses
Log(Total Rents Collected rentable sf) Green Certified (1=yes 0=no)[Yes] 1047
Hopkins Erin Hopkins Erincant provide a confidencd interval for it
009 130837635934 13311489362 01847683215 67633617021
Log(Subtotal Maintenance rentable sf) Green Certified (1=yes 0=no)[Yes] 1254 010 267662568114 08839769656 0489370035 133484365708
Log(Property Insurance rentable sf) Green Certified (1=yes 0=no)[Yes] 1319 005 44887430941 07758149459 02417429373 41261056301
Log(Total All Expenses Rentable sf) Green Certified (1=yes 0=no)[Yes] 1311 003 103066299601 12390720963 00474343371 5067818194
206907297628 2385711159 02072356932 9194606526
318766961061 22633758919 04452208547 128154919371
92461669878 09545425866 01280485733 38832017239
143925847783 15966970999 02187893202 54018796992
176714125561 02006495648 02876780533 58992020575
232897515382 0726170332 00787094673 69517596041
Non-green sf average Financial Green Impact sf Financial green impact differencesf Green impactapt Green impactproperty 51780910259 05203453537 00494304264 22609306646
178353784788 17547710996 02048626598 95961490345
Total Rents Collected sf 1047 2356 2603 $ 247 $ 2189 $ 551683 113769814112 12206875575 03432049607 118156743193
Subtotal Maintenance sf 1254 160 180 $ 020 $ 178 $ 44843 301239240258 10561596849 0204970258 110903994641
Property Insurance sf 1319 036 041 $ 005 $ 42 $ 10601 918584487 08376649832 00914663991 4146546939
Total Expenses sf 1311 852 963 $ 112 $ 990 $ 249535 265183769576 19294929362 03500602344 108447158033
226055903548 13557897255 03988791741 10971207244
334894587007 17970717884 05122599181 124640467569
5542518821 31394328066 04875650977 200668786372
112655732059 13445692884 02031297086 43995867235
129139526152 1168069688 00518980213 4651511283
Avg Apt Size Avg of Units 151098478261 13975 02004130435 51873478261
192155046737 21015937064 02616549091 8357602264
887 252 514840434082 52766375656 02375463267 174375582672
81421971535 06694487849 00899424521 2748686222
30246817244 21594341279 03308639536 97277207077
488523197409 27727612187 0646599696 130752346177
318750561687 38903340576 03852711795 142409683793
310384048163 43119745565 03335824966 138846874251
Green Certification Impacts 48578215663 0350218077 03095574205 23695139998
Dependent Variable Per Square Foot Per Apartment Per Property 192237574111 13374121765 02053242615 84027476689
Total Rents Collected $ 247 $ 2189 $ 551683 62979912788 05343191729 00816289996 45390243161
Subtotal Maintenance $ 020 $ 178 $ 44843 148378959661 14651715909 02004049722 80900580942
Property Insurance $ 005 $ 42 $ 10601 196798863889 11267176542 02499920663 90266351433
Total Expenses $ 112 $ 990 $ 249535 281508617823 09686995581 01118170881 119863342059
58584849751 0106864586 04187933949 44180073736
126756167712 1265684516 02796423029 87538414144
176550549412 24957340254 02343899179 88904473415
252421786235 28063734042 03142238564 133776179357
191875932907 13637043757 03440324697 987034902
159508092934 13109374847 02091697013 98967206196
342739845467 09614092295 03929892961 129755936769
192510355167 32804720611 01743191858 134560085596
257829360401 13666691797 01527100011 56329812754
358622391559 14251973427 03437553732 101098436889
217744157919 24046486586 01864745418 68711016642
222112557003 22022148788 07879755849 97807110765
202535763689 04548110217 10003436751 127886698915
155879815194 23816051158 04816227091 119033557201
11066078843 23413202706 06413902496 81812176347
151924709838 18873401649 05711000232 105403544539
163604010853 16052949068 02714509557 82030431823
133974400047 11018949984 03560839935 59096477943
133528448829 13647819036 02538331588 66159357367
187400008959 16889788117 030870974 115752907975
155246293804 18308314258 03852380906 116657595614
34082816218 05447090935 09838411173 13641308574
201220131342 11192465065 03188344246 93786154242
139108532616 13313944086 03887737775 69698295902
191656858207 15717927807 06002115982 119380046581
200921599083 12597596226 03267106334 82474085087
57536742874 00453219212 00300766262 10569757217
120548294116 11607892527 03275736725 74435143659
123188534664 1404028789 03510968138 78762080781
59543029729 0899713372 01652374748 28143456117
144215639215 19193238703 02899837711 67370054173
340046684831 19619729415 04325060698 120608464163
208244777176 28183367899 037 73104355304
234349752613 19432301154 0351134881 107484594815
136370903402 17029933791 01989576534 50899930579
149968383478 14209793679 02735642323 63813718869
81145819519 0920766851 00474564037 30674168785
226307446224 12529424404 02036192613 69235920453
132787305462 08047482453 01232346659 41808605432
251519090044 21798380428 0376480317 80396623551
492269138212 12196979039 02981674812 128316943664
107177195916 08016374211 0113808252 40618650625
128238528886 10751217142 01843492552 6476830365
57582611557 11908427448 0874334536 134004066235
43835651097 34822540694 03904989384 146763800425
205787355386 1429219053 02624404931 5321754079
463148430769 07709353846 06150738462 101617384615
377949548611 28670972222 08296944444 109743576389
360087564176 03501711352 18551055334 110041072447
18371979614 18232783153 07267294459 61184870906
678035276363 13443501226 10431616676 167533484248
56073359244 10138647576 01591318768 51440832304
189431314891 05101557395 03677787459 41010945328
383550342095 23244425576 04086557393 98151764619
115544349685 03310482653 037 40344851625
7552318246 0955023726 01241945851 24368780848
133083101881 19451300341 00938801919 48731378614
122308363087 13760780005 01439989014 45100624828
84908269322 10857071617 01155797799 36082570734
263116048067 10733627163 041902582 60372732395
76183752731 09621126305 01069925907 26170373239
172494454001 11781600332 03919686814 59016193131
342076422068 22741368431 03165622465 73557085549
215534567901 1485497076 02210396361 49118778428
314593058927 23798916958 02751353803 121998559501
586535191691 21029046354 02109026171 91979074439
138093310078 14595490221 02142269839 44286283792
227203645682 04584630891 05737147639 93344680527
572754455737 17713614269 01642228739 92545561671
60603870458 04541110154 01180884676 15902125521
358781017266 33847643857 06854022643 139200146946
342079216629 24477703832 0463059603 67166143833
651201231187 51019950176 12529595849 222094150831
369798669702 21700816928 0444474205 101410502507
421838575952 28823013788 05443272608 151399739597
626095189209 20826275416 04947814184 184651096472
214882899762 25034709712 06359683889 109534721722
274037120739 26718517094 037 67504928595
252667703737 25588590114 05379535858 109041874345
59253832495 01099622961 04620367393 19262874847
150862851538 18053109961 07398729558 71488607075
111196959019 00928417366 037 09427894164
667360269858 07921160191 02989609494 104670639024
2356 160 036 852
Log(Vacancies amp Rent Loss rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified -00318 00916 -00313 07289
Fitness Center 01008 01480 01060 04969
Pool 01126 01133 01192 03253
Outdoor Common Area 02673 01691 03064 01162
Walk Score 00102 00041 00102 00140
of Unfurnished Apartments -00003 00006 -00003 06769
Average Apt Unit Size -00003 00005 -00003 06067
Age -00026 00056 -00026 06428
Building Mix 00099 01008 00099 09219
Note R2 = 645
Log(Total Rents Collected rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00996 00591 01047 00941
Fitness Center 00684 00962 00708 04783
Pool 00089 00916 00089 09231
Outdoor Common Area -00837 01126 -00803 04587
Walk Score 00065 00028 00065 00218
of Unfurnished Apartments -00009 00004 -00009 00290
Average Apt Unit Size -00002 00003 -00002 05298
Age 00008 00037 00008 08237
Building Mix 00043 00695 00043 09507
Note R2 = 3318
Log(Total Actual Collections rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00944 00579 00991 01052
Fitness Center 00739 00942 00767 04343
Pool 00130 00886 00131 08834
Outdoor Common Area -00794 01102 -00764 04721
Walk Score 00066 00027 00066 00176
of Unfurnished Apartments -00008 00004 -00008 00322
Average Apt Unit Size -00002 00003 -00002 05034
Age 00015 00037 00015 06799
Building Mix 00249 00678 00252 07140
Note R2 = 3219
Log(Management Fee rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00199 00593 00201 07382
Fitness Center -00082 00958 -00082 09319
Pool 00174 00772 00176 08236
Outdoor Common Area 00153 01104 00154 08898
Walk Score 00070 00028 00071 00139
of Unfurnished Apartments -00014 00004 -00014 00007
Average Apt Unit Size -00005 00003 -00005 01317
Age 00014 00037 00014 07146
Building Mix -00674 00657 -00652 03066
Note R2 = 1697
Log(Total Utilities Rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00873 00646 00912 01786
Fitness Center 01176 01048 01248 02639
Pool 00116 00929 00116 09012
Outdoor Common Area 00223 01217 00225 08551
Walk Score 00069 00030 00069 00228
of Unfurnished Apartments -00007 00004 -00007 01153
Average Apt Unit Size -00003 00004 -00003 03381
Age 00049 00041 00049 02314
Building Mix -01198 00742 -01129 01087
Note R2 = 2171
Log(MampR rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00937 00639 00983 01447
Fitness Center 00038 01036 00038 09711
Pool 01320 00887 01411 01414
Outdoor Common Area -00522 01198 -00508 06639
Walk Score 00110 00029 00111 00002
of Unfurnished Apartments -00009 00004 -00009 00377
Average Apt Unit Size 00001 00004 00001 08665
Age 00076 00040 00077 00586
Building Mix 00598 00727 00616 04122
Note R2 = 2620
Log(Subtotal Maintenance rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 01181 00708 01254 00976
Fitness Center 00409 01149 00418 07221
Pool 01516 01008 01637 01377
Outdoor Common Area -00781 01332 -00751 05587
Walk Score 00119 00033 00120 00004
of Unfurnished Apartments -00008 00005 -00008 00838
Average Apt Unit Size 00005 00004 00005 01980
Age 00104 00045 00105 00207
Building Mix 02440 00812 02764 00031
Note R2 = 3218
Log(Property Insurance rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 01239 00627 01319 00503
Fitness Center -00035 01025 -00035 09726
Pool 00227 01040 00230 08273
Outdoor Common Area 00156 01207 00157 08974
Walk Score 00073 00030 00073 00175
of Unfurnished Apartments -00010 00004 -00010 00180
Average Apt Unit Size -00006 00004 -00006 00739
Age 00010 00040 00010 08091
Building Mix -00520 00749 -00507 04887
Note R2 = 3902
Log(Total All Expenses Rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 01232 00565 01311 00311
Fitness Center 00096 00919 00097 09168
Pool 01610 00847 01747 00607
Outdoor Common Area -00362 01072 -00355 07361
Walk Score 00087 00026 00088 00012
of Unfurnished Apartments -00009 00004 -00009 00216
Average Apt Unit Size -00002 00003 -00002 06220
Age 00016 00036 00016 06614
Building Mix 00158 00658 00159 08106
Note R2 = 2943
Log(NOI Rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00932 00702 00977 01863
Fitness Center 01113 01144 01177 03325
Pool -00609 01107 -00591 05838
Outdoor Common Area -01393 01341 -01300 03006
Walk Score 00045 00033 00045 01797
of Unfurnished Apartments -00007 00005 -00007 01306
Average Apt Unit Size -00002 00004 -00002 06220
Age 00035 00045 00035 04386
Building Mix 00489 00829 00501 05562
Note R2 = 3669
Concessions rentable sf
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 01111 01815 01175 05416
Fitness Center -05094 02955 -03991 00871
Pool -00886 02792 -00848 07519
Outdoor Common Area 04576 03456 05803 01876
Walk Score 00121 00086 00121 01609
of Unfurnished Apartments -00007 00012 -00007 05606
Average Apt Unit Size -00003 00010 -00003 07532
Age 00130 00115 00131 02598
Building Mix -03720 02130 -03106 00828
Note R2 = 2402
Y Term ~Bias Estimate EXP estimate Practical Interpretation increasedecrease Std Error DFDen t Ratio Probgt|t| Estimate Std Error Practical Interpretation Significance
Log(Vacancies amp Rent Loss rentable sf) Intercept 00893029328 10934118365 934 06116337119 1083785495375 01460072116 08841869197 Green Cert
Log(Vacancies amp Rent Loss rentable sf) Green Certified (1=yes 0=no)[Yes] -0031825668 09686754385 -313 009164153 139931853592 -03472843369 07288994904 Gym
Log(Vacancies amp Rent Loss rentable sf) Gym (1=yes 0=no)[Yes] 01007730854 11060256399 1060 01479591517 1412043780621 0681087207 0496931725
Log(Vacancies amp Rent Loss rentable sf) Pool (1=yes 0=no)[Yes] 01125884395 11191712315 1192 0113345701 506840641957 09933190097 032527325
Log(Vacancies amp Rent Loss rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 02672618233 13063824429 3064 01690835398 1429144230275 15806495624 01161688791
Log(Vacancies amp Rent Loss rentable sf) Walk Score 00101642302 10102160615 102 00040763935 1219632686439 24934369735 00139912712
Log(Vacancies amp Rent Loss rentable sf) of Unfurnished Apartments -0000250981 09997490505 -003 00006011213 142449410245 -04175214322 06769256723
Log(Vacancies amp Rent Loss rentable sf) Average Apt Unit Size -00002575258 09997425074 -003 00004990119 1315989429881 -05160713681 06066705884
Log(Vacancies amp Rent Loss rentable sf) Age -00026152008 09973882158 -026 00056263988 1391583522195 -04648090107 06427946925
Log(Vacancies amp Rent Loss rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00099001013 10099492694 099 0100821633 1384002310718 00981942166 09219201454
Log(Total Rents Collected rentable sf) Intercept 30195696974 204824761253 194825 04164909532 1420770663705 72500246992 0
Log(Total Rents Collected rentable sf) Green Certified (1=yes 0=no)[Yes] 00996165255 11047471944 1047
Hopkins Erin Hopkins Erincant provide a confidencd interval for it
00590542761 1286416575023 16868638818 0094053065 0099617 00590542761 1047
Log(Total Rents Collected rentable sf) Gym (1=yes 0=no)[Yes] 00684081888 10708023088 708 0096210834 1330244953516 07110237581 04783143732
Log(Total Rents Collected rentable sf) Pool (1=yes 0=no)[Yes] 00088712036 10089106694 089 00916333982 708572236354 00968119025 09231490817
Log(Total Rents Collected rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00836597449 09197441505 -803 01126005752 1404546011941 -07429779537 04587359136
Log(Total Rents Collected rentable sf) Walk Score 0006479206 10065002414 065 0002794287 1413201347208 23187331419 00218436949
Log(Total Rents Collected rentable sf) of Unfurnished Apartments -00008678845 0999132492 -009 00003932429 1359586026848 -22069932213 00289920945 variance components to talk about how much of the total error that is attribuatle to city
Log(Total Rents Collected rentable sf) Average Apt Unit Size -00002078918 09997921298 -002 00003300088 1382568544162 -06299582685 05297616269
Log(Total Rents Collected rentable sf) Age 00008364704 10008368204 008 00037477419 1387794745176 02231931757 08237133506
Log(Total Rents Collected rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00042999624 10043092206 043 0069466499 142786243042 00618998008 09507291881
Log(Total Actual Collections rentable sf) Intercept 30681072891 215011686418 205012 04070110501 1415072794017 75381424868 0
Log(Total Actual Collections rentable sf) Green Certified (1=yes 0=no)[Yes] 00944491888 10990533175 991 00578900924 1291837028308 16315259643 01052148631
Log(Total Actual Collections rentable sf) Gym (1=yes 0=no)[Yes] 00739127176 10767128233 767 0094247393 1335821297113 07842415071 04342868782
Log(Total Actual Collections rentable sf) Pool (1=yes 0=no)[Yes] 00130418887 10131273051 131 00885804441 654593026021 01472321442 08834013324
Log(Total Actual Collections rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00794248992 0923647384 -764 01101507414 1410305976559 -07210564195 04720684016
Log(Total Actual Collections rentable sf) Walk Score 00065530115 10065745295 066 00027272037 14047408887 24028316857 00175745575
Log(Total Actual Collections rentable sf) of Unfurnished Apartments -0000833078 09991672689 -008 00003850262 1365168778586 -21636916411 00322285543
Log(Total Actual Collections rentable sf) Average Apt Unit Size -00002169447 09997830788 -002 00003233576 1393662972101 -06709126047 05033865944
Log(Total Actual Collections rentable sf) Age 00015178151 10015189676 015 0003670824 1398532082324 04134807595 06798877496
Log(Total Actual Collections rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00249154485 10252284322 252 0067842812 1423468871242 03672525904 07139760316
Log(Management Fee rentable sf) Intercept -02128803278 08082528568 -1917 04254329778 585619088893 -0500385111 06186792644
Log(Management Fee rentable sf) Green Certified (1=yes 0=no)[Yes] 0019865513 10200641454 201 00593086525 1354977267554 03349513461 07381797603
Log(Management Fee rentable sf) Gym (1=yes 0=no)[Yes] -00082052627 09918283086 -082 00958032958 1386068833723 -00856469772 09318706455
Log(Management Fee rentable sf) Pool (1=yes 0=no)[Yes] 00174275629 10175803089 176 00771880661 202180965349 02257805358 08236388274
Log(Management Fee rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00153191452 10154370848 154 01103651216 1423896402644 01388042255 08898009734
Log(Management Fee rentable sf) Walk Score 00070459229 10070708039 071 00028008303 805559990921 25156550566 0013868745
Log(Management Fee rentable sf) of Unfurnished Apartments -0001358177 09986427449 -014 00003916726 1421224837061 -34676335479 00006950146
Log(Management Fee rentable sf) Average Apt Unit Size -00005130214 09994871101 -005 00003375961 1007585612206 -15196307445 0131735624
Log(Management Fee rentable sf) Age 00013613923 10013623194 014 00037151697 1277713043957 03664414822 07146417588
Log(Management Fee rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -00674463479 09347778721 -652 00657081953 1299283630266 -10264525997 03065854809
Log(Total Utilities Rentable sf) Intercept -03748562337 06873880949 -3126 04464274077 1402143832266 -08396801522 04025171642
Log(Total Utilities Rentable sf) Green Certified (1=yes 0=no)[Yes] 00873163337 10912418217 912 0064576715 1358457024729 13521334071 01785794114
Log(Total Utilities Rentable sf) Gym (1=yes 0=no)[Yes] 01175979311 11247917766 1248 01048349264 1384172144229 11217438221 02639135776
Log(Total Utilities Rentable sf) Pool (1=yes 0=no)[Yes] 00115680134 10116351816 116 00928512423 72633370166 01245865221 09011950626
Log(Total Utilities Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00222539972 10225034645 225 01216524447 1425571484619 01829309493 0855112103
Log(Total Utilities Rentable sf) Walk Score 00068649233 10068885409 069 00029812807 1396033046894 23026759291 00227754146
Log(Total Utilities Rentable sf) of Unfurnished Apartments -00006773222 09993229071 -007 00004273761 1401067188346 -15848386198 01152575495
Log(Total Utilities Rentable sf) Average Apt Unit Size -00003442022 0999655857 -003 00003581401 1425120147852 -09610825805 03381384619
Log(Total Utilities Rentable sf) Age 00048795122 10048914364 049 00040600929 1425855030198 12018227897 02314244716
Log(Total Utilities Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -01198355423 08870663096 -1129 00742421382 1413320388001 -16141176043 01087323819
Log(MampR rentable sf) Intercept -09030689887 04053238148 -5947 0437858541 1384008312652 -20624674504 00410332652
Log(MampR rentable sf) Green Certified (1=yes 0=no)[Yes] 00937424436 10982768413 983 00639155521 1376081716673 14666609392 01447499128
Log(MampR rentable sf) Gym (1=yes 0=no)[Yes] 00037664885 10037735907 038 01036113865 1396450691334 00363520715 09710535435
Log(MampR rentable sf) Pool (1=yes 0=no)[Yes] 01319613595 11410642271 1411 00887446725 719561267791 14869778183 0141389644
Log(MampR rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00521515872 09491849716 -508 01197720975 1428478988157 -04354235112 06639122497
Log(MampR rentable sf) Walk Score 00110131704 10110740386 111 00029197236 1385662208531 37719907631 00002391344
Log(MampR rentable sf) of Unfurnished Apartments -00008849955 09991153959 -009 00004219429 1410140957414 -20974297602 0037740228
Log(MampR rentable sf) Average Apt Unit Size 00000594506 10000594524 001 0000353075 1429981472006 01683796031 08665225748
Log(MampR rentable sf) Age 0007624822 1007653965 077 00039990018 142990029884 19066812998 00585678315
Log(MampR rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00598131349 10616381449 616 00727173027 1406732379184 08225433659 04121598071
Log(Subtotal Maintenance rentable sf) Intercept -07997344997 04494482769 -5506 0489167182 1380935604874 -16348899298 01043496414
Log(Subtotal Maintenance rentable sf) Green Certified (1=yes 0=no)[Yes] 01180969773 11253532398 1254 00707986514 1348907221481 16680681771 00976219515
Log(Subtotal Maintenance rentable sf) Gym (1=yes 0=no)[Yes] 00409351965 10417845921 418 01148796072 1378640116803 03563312718 07221372278
Log(Subtotal Maintenance rentable sf) Pool (1=yes 0=no)[Yes] 01515780559 11636691295 1637 0100780712 617547240206 15040383505 01376688864
Log(Subtotal Maintenance rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -0078076377 09248937833 -751 01331885868 1426567369893 -05862092154 05586613077
Log(Subtotal Maintenance rentable sf) Walk Score 0011889233 10119601909 120 00032614069 1377504918879 36454307183 00003773801
Log(Subtotal Maintenance rentable sf) of Unfurnished Apartments -00008153416 09991849907 -008 00004682078 1398534995511 -17414095506 00838107083
Log(Subtotal Maintenance rentable sf) Average Apt Unit Size 00005083484 10005084776 005 00003930253 1428434249161 12934242295 01979520949
Log(Subtotal Maintenance rentable sf) Age 00104106727 10104650523 105 00044515054 1428449267664 23386858733 00207383998
Log(Subtotal Maintenance rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 02440298206 12763823925 2764 0081177414 1402563601749 30061295196 00031359748
Log(Property Insurance rentable sf) Intercept -08916874806 04099633635 -5900 04516384713 1429624291993 -19743390727 00502702101
Log(Property Insurance rentable sf) Green Certified (1=yes 0=no)[Yes] 01239058141 11319092561 1319 0062692592 1281678143933 19764027959 00502564371
Log(Property Insurance rentable sf) Gym (1=yes 0=no)[Yes] -0003522638 09964835593 -035 01024969537 1314939748594 -0034368221 09726356404
Log(Property Insurance rentable sf) Pool (1=yes 0=no)[Yes] 00227423743 10230029538 230 01040308572 1125700947624 02186118131 08273482928
Log(Property Insurance rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00155809876 10157030041 157 01206677853 1368483458399 01291230096 08974498986
Log(Property Insurance rentable sf) Walk Score 00072977866 10073244804 073 00030353828 1428602075435 24042392705 00174877086
Log(Property Insurance rentable sf) of Unfurnished Apartments -00010061941 09989943119 -010 0000420017 1337858380697 -23956034086 00179774093
Log(Property Insurance rentable sf) Average Apt Unit Size -00006330482 09993671521 -006 00003514502 1338864329416 -18012458048 0073914725
Log(Property Insurance rentable sf) Age 00009661099 10009665767 010 00039921418 1338497494964 02420028921 08091483095
Log(Property Insurance rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -00520208103 09493091112 -507 00749301111 1411273861679 -06942577501 04886618561
Log(Total All Expenses Rentable sf) Intercept 17410862845 57035357214 47035 03946731547 141889623796 44114636723 00000201648
Log(Total All Expenses Rentable sf) Green Certified (1=yes 0=no)[Yes] 01231722438 11310792255 1311 00565275641 1341244163534 21789766772 00310802733
Log(Total All Expenses Rentable sf) Gym (1=yes 0=no)[Yes] 00096244971 10096709615 097 00919378962 1370603130567 01046847658 09167789899
Log(Total All Expenses Rentable sf) Pool (1=yes 0=no)[Yes] 01610294116 11747195186 1747 00846545666 801516751987 19021940341 00607378863
Log(Total All Expenses Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00361842114 09644626121 -355 01071504659 1418739239709 -03376953252 07360919324
Log(Total All Expenses Rentable sf) Walk Score 00087371658 10087754463 088 00026426023 1411809488418 33062734678 00011989895
Log(Total All Expenses Rentable sf) of Unfurnished Apartments -00008720665 09991283137 -009 00003752966 1389800988186 -23236728617 00215934791
Log(Total All Expenses Rentable sf) Average Apt Unit Size -0000155413 0999844599 -002 00003145108 1409449329598 -0494142052 06219751067
Log(Total All Expenses Rentable sf) Age 00015666155 10015678433 016 00035695206 1412387206124 04388868073 06614142124
Log(Total All Expenses Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00157918953 10159172462 159 00657593447 1424551160559 02401467861 08105616925
Log(NOI Rentable sf) Intercept 27416093787 155119295878 145119 049686036 1426328429735 55178669889 0000000157
Log(NOI Rentable sf) Green Certified (1=yes 0=no)[Yes] 00932241108 10977077159 977 00701671113 1292740226257 13286012361 01863200879
Log(NOI Rentable sf) Gym (1=yes 0=no)[Yes] 0111280688 11177085902 1177 0114413579 13320261997 09726178396 03325061802
Log(NOI Rentable sf) Pool (1=yes 0=no)[Yes] -00608871507 0940929417 -591 01107002034 838263437204 -05500184174 05837693269
Log(NOI Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -01393113526 08699571229 -1300 01340931949 1397855428856 -10389144106 03006382455
Log(NOI Rentable sf) Walk Score 00045000262 10045101666 045 0003337636 1423581725818 13482675372 01797136327
Log(NOI Rentable sf) of Unfurnished Apartments -00007116645 09992885887 -007 00004679272 1358400867851 -15208872073 01306124688
Log(NOI Rentable sf) Average Apt Unit Size -00001937801 09998062387 -002 00003921685 1372175013367 -04941245389 06220083144
Log(NOI Rentable sf) Age 00034607088 1003466704 035 00044548378 1376438770548 07768428318 04385844885
Log(NOI Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00488697769 10500835966 501 00828565286 1429949688826 05898120243 0556247504
Concessions rentable sf Intercept 0091580439 10959049266 959 12772069558 1418541020247 00717036801 09429387231
Concessions rentable sf Green Certified (1=yes 0=no)[Yes] 01110697527 11174728508 1175 01814813765 1293641668833 06120173584 05416004511
Concessions rentable sf Gym (1=yes 0=no)[Yes] -05094051331 06008529 -3991 02955403985 1336296409402 -17236395961 00870857294
Concessions rentable sf Pool (1=yes 0=no)[Yes] -00886152984 09151975838 -848 02791864929 69298361986 -03174053928 07518903943
Concessions rentable sf Outdoor Common Area (1=yes 0=no)[Yes] 04576291372 15803228114 5803 03455726285 1408379747117 13242632646 01875606951
Concessions rentable sf Walk Score 00120688741 10121419968 121 00085630896 1409791646097 14094064916 01609170757
Concessions rentable sf of Unfurnished Apartments -00007045588 09992956894 -007 00012075862 1364744404696 -05834438741 05605574922
Concessions rentable sf Average Apt Unit Size -00003193903 09996806607 -003 00010135961 1389703034326 -03151061148 07531537379
Concessions rentable sf Age 00130223218 10131074815 131 00115086772 139464867267 11315220311 02597773256
Concessions rentable sf Building Mix (0=multifamily 1 = mixed-use)[Mixed] -03719888249 06893619462 -3106 02129597676 1426034459287 -17467563435 00828326573
Page 21: AUGUST 21- 23, 2018 • CLEVELAND, OHIO€¦ · Business Case 2.0: New Research Around High Performing Buildings Thursday 23 rd, 2018 10:30am – 12:00pm

RecommendationsLenders Ask owners to provide info on energy cost range

Account for variations in energy use and energy price Could be done as part of Property Condition Assessment Can reference ASTM standard

Incorporate energy risk factor into underwriting and terms eg Interest rate discount for lower risk

Offer additional loan proceeds for EE investments

Owners Ask lenders to account for energy efficiency when setting mortgage

terms Provide data on energy costs to lender

Historical and anticipated In appraisal andor PCA

21

Thank you

Money Matters Exploring the Financial Impacts of Green Certifications in the Multifamily Rental Sector

Erin A Hopkins PhD CAPS LEED Green AssociateAssistant Professor of Property Management

bull Sample 153 properties from 2 of National Multifamily Housing Councilrsquos 2016 50 Largest Apartment Managers

bull Green-certified 2288 of properties (35 properties)bull Methodology Multiple Regression Analysisbull Controls Location Fitness Center Pool Outdoor Common Area Walk

Score of Unfurnished Apartments Average Apartment Unit Size Age Building Mix

bull Limitations Building class not directly taken into account

Overview of Research

Certifications Represented in Sample

Austin Energy Green Buildingreg (AEGB)

Rating System(3)

ENERGY STARreg

(1)

Florida Green Building Coalition

(FGBC)(1)

GreenPoint Rated(4)

LEEDreg

(16)

National Green Building Standardtrade

(NGBS)(11)

Properties by City

2

4

2 2 21 1

3

1 1 12 2

1 1 1

6

1 1

8

11

4

6

14

3

1

19

3

1 1

7

43

2

9

18

2 2

0

2

4

6

8

10

12

14

16

18

20

Summary Statistics of City Datan=153

Summary Satistics of City Data Green Bldgs Summary Satistics of City Data Non-Green Comparables

Descriptive

97

71

100

31

89

69

93

24

0

20

40

60

80

100

120

Fitness Center Pool Outdoor Common Area Mixed-Use Property

Summary Statistics of Green vs Non-Green Propertiesn = 153

Green Non-Green

Descriptive

73228

866

2011

74

259

894

2003

0

500

1000

1500

2000

2500

Walk Score Average Number of Units Average Apt Unit Size (sf) Age

Summary Statistics of Green vs Non-Green Properties

n = 153

Green Non-Green

Findings

Total Rents Collected1047

Total Maintenance1254

Property Insurance1319

Total Expenses1311

Higher rents and expenses

Financial Impacts of Green

Dependent Variable Per Square Foot Per Apartment Per PropertyTotal Rents Collected 247$ 2189$ 551683$ Subtotal Maintenance 020$ 178$ 44843$ Property Insurance 005$ 42$ 10601$ Total Expenses 112$ 990$ 249535$

Coefficients Standard Errors

Tables

Summary of Green Impacts

Summary Table

Discussion

bull Assume efficient operations will offset the higher rent

bull Philanthropic motivesbull Prestige motivesbull Green buildings tend to be newermore

likely to offer the more sought-after amenities and finishes

bull Tend to be in higher-income areaslikely have higher rents

Different motivations for paying higher rent may be in

play

Discussion

Higher Operating Expenses a Surprise

Does not align with much of the existing researchhellipbut no research on effects of green certification on total operating expenses within multifamily rental sector

Many of the certifications represented in this study focus on the design phase of the property vs the operations and maintenance phase

And although promotion of sustainability is on the rise in the multifamily housing sector staff may remain unfamiliar with the unique operations and maintenance of green

buildings

Final Thoughts

Apartment homes represent $13 trillion to the US economy and 5 million new rental households are expected by 2023 (National Multifamily Housing Council 2015)

Upfront capital constraints regulatory issues knowledge limitations and marketing concerns may diminish the attractiveness of multifamily rental green building

certification if not properly managed

Most studies focus on office sector andor strictly rents or property value

This study begins to look at the multifamily rental sector and offer a more comprehensive analysis

Further research is needed with larger datasets to understand effects of green certification on income statement components in the apartment industry as NOI

ultimately determines property market valueOptimism that this study can be the impetus for further research contributions on the

financial environmental and resident satisfaction impacts of green practices and certifications on the multifamily rental sector

Contact informationErin A Hopkinserinz1vtedu

Acknowledgementsbull Todd Feist Sustainability Program Manager at The Institute of

Real Estate Management (IREMreg) for his assistance with this research project

bull Yardi and IREMreg for the grant awarded to support this researchbull The two property management companies for sharing their data

BUILDING PERFORMANCE

UNLOCKINGVALUE

New DOE-driven Research Around High Performing Buildings

AUGUST 23 2018

ANDREW WHITEASSOCIATE MANAGERawhiteretechadvisorscom

2015-2016 bull Research design working group pilot study data lab

2017 bull Connect to Real Estate Research Institute (RERI) Literature review and gap analysis

2018 bull Research agenda request for proposals research project selection and execution

Context Setting ndash DOE Research EffortWhat are the impacts of energy efficiency and high-performance building

features on financial performance of commercial real estate

RERIrsquos mission is to encourage and reward research on real estate as an investment and as an asset class that is both academically rigorous and of value to the institutional real estate investment profession In addition RERI serves to provide a forum through which the real estate academic professional and regulatory communities can interact facilitating the exchange of insights amongst these stakeholders

RERI Overview

Sponsors

Build upon DOErsquos Review of Studies in the Market

bull Focus explicitly on peer-reviewed papers Gap analysis of existing research to

identifybull Questions that have already been

sufficiently provenbull Holes in existing body of research

Academic Inputbull Guidance on which studies to includebull Suggestions for how to conduct analysis

Literature Review Objectives

Literature Review Results

LEED

ENER

GY

ST

AR

labe

l

ENER

GY

ST

AR

sc

ore

Ener

gy u

se

BR

EEA

M

Ener

gy

Perf

orm

anc

e Cer

tific

ates

(U

K)

BO

MA

B

EST

Wal

kabi

lity

Non

-ene

rgy

gree

n fe

atur

es

Oth

er

Rent 20 18 1 2 2 2 1 1 1Rent concessions 1 1 1Sales price 9 11 1 1 1 1Assessed value 2 2Market value 1 2 1 2 1Occupancy 10 9 1Lease renewals 1 1 1Service charge 1Operating cost 2 3Energy cost 2 3Tenant satisfaction 1 1 1Sales time 1 1Default rate 2 1Capitalization rate 1 2 2 1Net operating income 1 1 1Loan to value ratio 1 1Debt service coverage ratio 1 1Worker productivity 1 1Other 5 4 1 4 2 2

There is considerable evidence that green building certifications correlate with increased economic value primarily via higher rents and sales prices

bull How do we move beyond certification to analyze performancebull Correlation vs Causation

bull What is driving added value Is it green features and efficiency the green labels themselves or other desirable features often included in certified buildings

Panel studies could help reduce some of the uncertainty and noise Full results presented at ACEEE Summer Study

bull Raising the Rent Premium Moving Green Building Research Beyond Certifications and Rent

bull Cindy Zhu Andrew White Paul Mathew Jeff Deason Philip Coleman

Literature Review Results

Research Agenda Core QuestionldquoHow does ltenergygreen metricgt affect ltfinancial value metricgtrdquo

EnergyGreen Metric

Site energy use or EUI

Source energy use or EUI

Energy cost or costsf

ENERGY STAR score

ENERGY STAR label

Green Building Certification (LEED BOMA 360)

Green Building Certification level (eg LEED Silver Gold)

Financial Value Metric

VacancyOccupancy Sales Price

Leasing Velocity (absorption speed of sales leasing)

Regulatory amp Compliance Risk

Tenant Renewals Insurance (rates ability)

Tenant Satisfaction Default Risk

Rental Income and Rent Concessions Debt Service Coverage Ratio

Marketing Costs Access to Funding

Utility Costs Maintenance OpEx Interest Rates

Obsolescence Reserves

Capitalization Rates

12 proposals received 5 projects selected Criteria

bull Department of Energy goals

bull Impact on Commercial Real Estate (CRE) Industry

bull Feasibility and Interest

bull Quality and Validity

Proposal Reviews

Jim Clayton Avis Devine (York University) and Rogier Holtermans(University of Guelph) Analyzing four types of energy

efficiency interventions on financial components that impact property-level NOI

bull How do interventions impact different aspects of building operations and their subsequent financial impact

Beyond Environmental Building Certification The Impact of Environmental Interventions on Commercial Real Estate Operations

Piet Eichholtz and Nils Kok (Maastricht University) and RogierHoltermans (University of Guelph) Three key questions

bull How is environmental building certification related to commercial building energy consumption

bull How does aging affect the energy consumption of the commercial building stock

bull To what extent do specific energy efficiency investments affect energy consumption in commercial real estate

The Dynamics of Energy Consumption in Commercial Real Estate

Sofia Dermisi Chris Lee and YoungjinChoe (University of Washington) Exploring the effect of disclosure

policies on office building marketability while assessing potential links between market performance of sustainable assets

bull Before and after the disclosure policies while considering market cycles

bull Before and after ENERGY STAR andor LEED certification

Markets included San Francisco Washington DC

Effect of Energy Benchmarking and Disclosure on Office Building Marketability

Dirk Brounen (Tilburg University) and Gianluca Marcato (Reading University) Analyzing the adoption of GRESB within the public real estate markets and

predicting a potential impact of GRESB scores on REIT returns

Sustainable Insights and Public Real Estate Performance GRESB Effects in REIT Markets

Constantine Kontokosta (New York University) Franz Fuerst(Cambridge University) Gary Pivo (University of Arizona) amp Jacob Sagi (UNC Chapel Hill) Utilizing NYC data to empirically model

bull the spread between the premium for labeled (energy efficient) buildings and the cost to retrofit an under-performing building to meet the same standard which will allow us to understand how much of the observed premium is attributable to energy efficiency and how much can be assigned to other perceived benefits (marketing construction quality etc)

bull the hurdle rate for energy retrofit investments using actual audit data and permitted renovation work

Estimating Office and Residential Building Energy Retrofit Hurdle Rates and Risk Arbitrage in Energy Efficiency Investments

Collecting data for continued Data Lab analysis Presenting Research findings

bull Interim research results ndash IPC Research Symposium (October)bull Greenbuild Session (November)bull RERI Research Conference (April)bull Final research results ndash Better Buildings Webinars Summit 2019 (TBA)

Work with DOE case study and data analysis opportunities abound

Next Steps

Paul Mathew

Lawrence Berkeley National Laboratorypamathewlblgov

Paulo Issler

University of California Berkeleypauloisslerberkeleyedu

Erin Hopkins

Virginia Techerinz1vtedu

Andrew White

RE Tech Advisorsawhiteretechadvisorscom

Contact Info

  • Slide Number 1
  • Business Case 20 New Research Around High Performing Buildings
  • Panelists
  • Energy and Default Risk in Commercial Mortgages
  • Paulo Issler
  • Acknowledgements
  • The link between energy and CRE mortgages
  • Approach Impact of energy on default rate
  • Default risk and source EUI (cont)
  • Default risk and source EUI
  • Default risk and source EUI (cont)
  • Default risk and source EUI (cont)
  • What are the impacts on specific loans
  • Case Studies
  • Denver Office ndash energy use and default risk
  • Denver Office ndash energy price and default risk
  • Case Studies ndash summary of risks impacts
  • Case Studies ndash business impact
  • Looking Ahead
  • Looking Ahead ndash our vision
  • Recommendations
  • Slide Number 22
  • Money Matters Exploring the Financial Impacts of Green Certifications in the Multifamily Rental SectorErin A Hopkins PhD CAPS LEED Green AssociateAssistant Professor of Property Management
  • Overview of Research
  • Certifications Represented in Sample
  • Properties by City
  • Descriptive
  • Descriptive
  • Findings
  • Financial Impacts of Green
  • Discussion
  • Discussion
  • Final Thoughts
  • Slide Number 34
  • Slide Number 35
  • Context Setting ndash DOE Research Effort
  • RERI Overview
  • Literature Review Objectives
  • Literature Review Results
  • Literature Review Results
  • Research Agenda Core Question
  • Proposal Reviews
  • Beyond Environmental Building Certification The Impact of Environmental Interventions on Commercial Real Estate Operations
  • The Dynamics of Energy Consumption in Commercial Real Estate
  • Effect of Energy Benchmarking and Disclosure on Office Building Marketability
  • Sustainable Insights and Public Real Estate Performance GRESB Effects in REIT Markets
  • Estimating Office and Residential Building Energy Retrofit Hurdle Rates and Risk Arbitrage in Energy Efficiency Investments
  • Next Steps
  • Contact Info
Y Term ~Bias Estimate EXP estimate Practical Interpretation increasedecrease Std Error DFDen t Ratio Probgt|t| Log(Vacancies amp Rent Loss rentable sf) Log(Total Rents Collected rentable sf) Log(Total Actual Collections rentable sf) Log(Management Fee rentable sf) Log(Total Utilities Rentable sf) Log(MampR rentable sf) Log(Subtotal Maintenance rentable sf) Log(Property Insurance rentable sf) Log(Total All Expenses Rentable sf) Log(NOI Rentable sf) Concessions rentable sf
Log(Vacancies amp Rent Loss rentable sf) Intercept 00893029328 10934118365 934 06116337119 1083785495375 01460072116 08841869197 Green Certified (1=yes 0=no)[Yes] -00318 01047 00991
Log(Vacancies amp Rent Loss rentable sf) Green Certified (1=yes 0=no)[Yes] -0031825668 09686754385 -313 009164153 139931853592 -03472843369 07288994904 Gym (1=yes 0=no)[Yes] 01060 00708 00767
Log(Vacancies amp Rent Loss rentable sf) Gym (1=yes 0=no)[Yes] 01007730854 11060256399 1060 01479591517 1412043780621 0681087207 0496931725 Pool (1=yes 0=no)[Yes] 01126 00089 00131
Log(Vacancies amp Rent Loss rentable sf) Pool (1=yes 0=no)[Yes] 01125884395 11191712315 1192 0113345701 506840641957 09933190097 032527325 Outdoor Common Area (1=yes 0=no)[Yes] 02673 -00803 -00764
Log(Vacancies amp Rent Loss rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 02672618233 13063824429 3064 01690835398 1429144230275 15806495624 01161688791 Walk Score 00102 00065 00066
Log(Vacancies amp Rent Loss rentable sf) Walk Score 00101642302 10102160615 102 00040763935 1219632686439 24934369735 00139912712 of Unfurnished Apartments -00003 -00009 -00008
Log(Vacancies amp Rent Loss rentable sf) of Unfurnished Apartments -0000250981 09997490505 -003 00006011213 142449410245 -04175214322 06769256723 Average Apt Unit Size -00003 -00002 -00002
Log(Vacancies amp Rent Loss rentable sf) Average Apt Unit Size -00002575258 09997425074 -003 00004990119 1315989429881 -05160713681 06066705884 Age -00026 00008 00015
Log(Vacancies amp Rent Loss rentable sf) Age -00026152008 09973882158 -026 00056263988 1391583522195 -04648090107 06427946925 Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00099 00043 00252
Log(Vacancies amp Rent Loss rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00099001013 10099492694 099 0100821633 1384002310718 00981942166 09219201454
Log(Total Rents Collected rentable sf) Intercept 30195696974 204824761253 194825 04164909532 1420770663705 72500246992 0
Log(Total Rents Collected rentable sf) Green Certified (1=yes 0=no)[Yes] 00996165255 11047471944 1047
Hopkins Erin Hopkins Erincant provide a confidencd interval for it
00590542761 1286416575023 16868638818 0094053065
Log(Total Rents Collected rentable sf) Gym (1=yes 0=no)[Yes] 00684081888 10708023088 708 0096210834 1330244953516 07110237581 04783143732
Log(Total Rents Collected rentable sf) Pool (1=yes 0=no)[Yes] 00088712036 10089106694 089 00916333982 708572236354 00968119025 09231490817
Log(Total Rents Collected rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00836597449 09197441505 -803 01126005752 1404546011941 -07429779537 04587359136
Log(Total Rents Collected rentable sf) Walk Score 0006479206 10065002414 065 0002794287 1413201347208 23187331419 00218436949
Log(Total Rents Collected rentable sf) of Unfurnished Apartments -00008678845 0999132492 -009 00003932429 1359586026848 -22069932213 00289920945
Log(Total Rents Collected rentable sf) Average Apt Unit Size -00002078918 09997921298 -002 00003300088 1382568544162 -06299582685 05297616269
Log(Total Rents Collected rentable sf) Age 00008364704 10008368204 008 00037477419 1387794745176 02231931757 08237133506
Log(Total Rents Collected rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00042999624 10043092206 043 0069466499 142786243042 00618998008 09507291881
Log(Total Actual Collections rentable sf) Intercept 30681072891 215011686418 205012 04070110501 1415072794017 75381424868 0
Log(Total Actual Collections rentable sf) Green Certified (1=yes 0=no)[Yes] 00944491888 10990533175 991 00578900924 1291837028308 16315259643 01052148631
Log(Total Actual Collections rentable sf) Gym (1=yes 0=no)[Yes] 00739127176 10767128233 767 0094247393 1335821297113 07842415071 04342868782
Log(Total Actual Collections rentable sf) Pool (1=yes 0=no)[Yes] 00130418887 10131273051 131 00885804441 654593026021 01472321442 08834013324
Log(Total Actual Collections rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00794248992 0923647384 -764 01101507414 1410305976559 -07210564195 04720684016
Log(Total Actual Collections rentable sf) Walk Score 00065530115 10065745295 066 00027272037 14047408887 24028316857 00175745575
Log(Total Actual Collections rentable sf) of Unfurnished Apartments -0000833078 09991672689 -008 00003850262 1365168778586 -21636916411 00322285543
Log(Total Actual Collections rentable sf) Average Apt Unit Size -00002169447 09997830788 -002 00003233576 1393662972101 -06709126047 05033865944
Log(Total Actual Collections rentable sf) Age 00015178151 10015189676 015 0003670824 1398532082324 04134807595 06798877496
Log(Total Actual Collections rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00249154485 10252284322 252 0067842812 1423468871242 03672525904 07139760316
Log(Management Fee rentable sf) Intercept -02128803278 08082528568 -1917 04254329778 585619088893 -0500385111 06186792644
Log(Management Fee rentable sf) Green Certified (1=yes 0=no)[Yes] 0019865513 10200641454 201 00593086525 1354977267554 03349513461 07381797603
Log(Management Fee rentable sf) Gym (1=yes 0=no)[Yes] -00082052627 09918283086 -082 00958032958 1386068833723 -00856469772 09318706455
Log(Management Fee rentable sf) Pool (1=yes 0=no)[Yes] 00174275629 10175803089 176 00771880661 202180965349 02257805358 08236388274
Log(Management Fee rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00153191452 10154370848 154 01103651216 1423896402644 01388042255 08898009734
Log(Management Fee rentable sf) Walk Score 00070459229 10070708039 071 00028008303 805559990921 25156550566 0013868745
Log(Management Fee rentable sf) of Unfurnished Apartments -0001358177 09986427449 -014 00003916726 1421224837061 -34676335479 00006950146
Log(Management Fee rentable sf) Average Apt Unit Size -00005130214 09994871101 -005 00003375961 1007585612206 -15196307445 0131735624
Log(Management Fee rentable sf) Age 00013613923 10013623194 014 00037151697 1277713043957 03664414822 07146417588
Log(Management Fee rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -00674463479 09347778721 -652 00657081953 1299283630266 -10264525997 03065854809
Log(Total Utilities Rentable sf) Intercept -03748562337 06873880949 -3126 04464274077 1402143832266 -08396801522 04025171642
Log(Total Utilities Rentable sf) Green Certified (1=yes 0=no)[Yes] 00873163337 10912418217 912 0064576715 1358457024729 13521334071 01785794114
Log(Total Utilities Rentable sf) Gym (1=yes 0=no)[Yes] 01175979311 11247917766 1248 01048349264 1384172144229 11217438221 02639135776
Log(Total Utilities Rentable sf) Pool (1=yes 0=no)[Yes] 00115680134 10116351816 116 00928512423 72633370166 01245865221 09011950626
Log(Total Utilities Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00222539972 10225034645 225 01216524447 1425571484619 01829309493 0855112103
Log(Total Utilities Rentable sf) Walk Score 00068649233 10068885409 069 00029812807 1396033046894 23026759291 00227754146
Log(Total Utilities Rentable sf) of Unfurnished Apartments -00006773222 09993229071 -007 00004273761 1401067188346 -15848386198 01152575495
Log(Total Utilities Rentable sf) Average Apt Unit Size -00003442022 0999655857 -003 00003581401 1425120147852 -09610825805 03381384619
Log(Total Utilities Rentable sf) Age 00048795122 10048914364 049 00040600929 1425855030198 12018227897 02314244716
Log(Total Utilities Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -01198355423 08870663096 -1129 00742421382 1413320388001 -16141176043 01087323819
Log(MampR rentable sf) Intercept -09030689887 04053238148 -5947 0437858541 1384008312652 -20624674504 00410332652
Log(MampR rentable sf) Green Certified (1=yes 0=no)[Yes] 00937424436 10982768413 983 00639155521 1376081716673 14666609392 01447499128
Log(MampR rentable sf) Gym (1=yes 0=no)[Yes] 00037664885 10037735907 038 01036113865 1396450691334 00363520715 09710535435
Log(MampR rentable sf) Pool (1=yes 0=no)[Yes] 01319613595 11410642271 1411 00887446725 719561267791 14869778183 0141389644
Log(MampR rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00521515872 09491849716 -508 01197720975 1428478988157 -04354235112 06639122497
Log(MampR rentable sf) Walk Score 00110131704 10110740386 111 00029197236 1385662208531 37719907631 00002391344
Log(MampR rentable sf) of Unfurnished Apartments -00008849955 09991153959 -009 00004219429 1410140957414 -20974297602 0037740228
Log(MampR rentable sf) Average Apt Unit Size 00000594506 10000594524 001 0000353075 1429981472006 01683796031 08665225748
Log(MampR rentable sf) Age 0007624822 1007653965 077 00039990018 142990029884 19066812998 00585678315
Log(MampR rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00598131349 10616381449 616 00727173027 1406732379184 08225433659 04121598071
Log(Subtotal Maintenance rentable sf) Intercept -07997344997 04494482769 -5506 0489167182 1380935604874 -16348899298 01043496414
Log(Subtotal Maintenance rentable sf) Green Certified (1=yes 0=no)[Yes] 01180969773 11253532398 1254 00707986514 1348907221481 16680681771 00976219515
Log(Subtotal Maintenance rentable sf) Gym (1=yes 0=no)[Yes] 00409351965 10417845921 418 01148796072 1378640116803 03563312718 07221372278
Log(Subtotal Maintenance rentable sf) Pool (1=yes 0=no)[Yes] 01515780559 11636691295 1637 0100780712 617547240206 15040383505 01376688864
Log(Subtotal Maintenance rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -0078076377 09248937833 -751 01331885868 1426567369893 -05862092154 05586613077
Log(Subtotal Maintenance rentable sf) Walk Score 0011889233 10119601909 120 00032614069 1377504918879 36454307183 00003773801
Log(Subtotal Maintenance rentable sf) of Unfurnished Apartments -00008153416 09991849907 -008 00004682078 1398534995511 -17414095506 00838107083
Log(Subtotal Maintenance rentable sf) Average Apt Unit Size 00005083484 10005084776 005 00003930253 1428434249161 12934242295 01979520949
Log(Subtotal Maintenance rentable sf) Age 00104106727 10104650523 105 00044515054 1428449267664 23386858733 00207383998
Log(Subtotal Maintenance rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 02440298206 12763823925 2764 0081177414 1402563601749 30061295196 00031359748
Log(Property Insurance rentable sf) Intercept -08916874806 04099633635 -5900 04516384713 1429624291993 -19743390727 00502702101
Log(Property Insurance rentable sf) Green Certified (1=yes 0=no)[Yes] 01239058141 11319092561 1319 0062692592 1281678143933 19764027959 00502564371
Log(Property Insurance rentable sf) Gym (1=yes 0=no)[Yes] -0003522638 09964835593 -035 01024969537 1314939748594 -0034368221 09726356404
Log(Property Insurance rentable sf) Pool (1=yes 0=no)[Yes] 00227423743 10230029538 230 01040308572 1125700947624 02186118131 08273482928
Log(Property Insurance rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00155809876 10157030041 157 01206677853 1368483458399 01291230096 08974498986
Log(Property Insurance rentable sf) Walk Score 00072977866 10073244804 073 00030353828 1428602075435 24042392705 00174877086
Log(Property Insurance rentable sf) of Unfurnished Apartments -00010061941 09989943119 -010 0000420017 1337858380697 -23956034086 00179774093
Log(Property Insurance rentable sf) Average Apt Unit Size -00006330482 09993671521 -006 00003514502 1338864329416 -18012458048 0073914725
Log(Property Insurance rentable sf) Age 00009661099 10009665767 010 00039921418 1338497494964 02420028921 08091483095
Log(Property Insurance rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -00520208103 09493091112 -507 00749301111 1411273861679 -06942577501 04886618561
Log(Total All Expenses Rentable sf) Intercept 17410862845 57035357214 47035 03946731547 141889623796 44114636723 00000201648
Log(Total All Expenses Rentable sf) Green Certified (1=yes 0=no)[Yes] 01231722438 11310792255 1311 00565275641 1341244163534 21789766772 00310802733
Log(Total All Expenses Rentable sf) Gym (1=yes 0=no)[Yes] 00096244971 10096709615 097 00919378962 1370603130567 01046847658 09167789899
Log(Total All Expenses Rentable sf) Pool (1=yes 0=no)[Yes] 01610294116 11747195186 1747 00846545666 801516751987 19021940341 00607378863
Log(Total All Expenses Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00361842114 09644626121 -355 01071504659 1418739239709 -03376953252 07360919324
Log(Total All Expenses Rentable sf) Walk Score 00087371658 10087754463 088 00026426023 1411809488418 33062734678 00011989895
Log(Total All Expenses Rentable sf) of Unfurnished Apartments -00008720665 09991283137 -009 00003752966 1389800988186 -23236728617 00215934791
Log(Total All Expenses Rentable sf) Average Apt Unit Size -0000155413 0999844599 -002 00003145108 1409449329598 -0494142052 06219751067
Log(Total All Expenses Rentable sf) Age 00015666155 10015678433 016 00035695206 1412387206124 04388868073 06614142124
Log(Total All Expenses Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00157918953 10159172462 159 00657593447 1424551160559 02401467861 08105616925
Log(NOI Rentable sf) Intercept 27416093787 155119295878 145119 049686036 1426328429735 55178669889 0000000157
Log(NOI Rentable sf) Green Certified (1=yes 0=no)[Yes] 00932241108 10977077159 977 00701671113 1292740226257 13286012361 01863200879
Log(NOI Rentable sf) Gym (1=yes 0=no)[Yes] 0111280688 11177085902 1177 0114413579 13320261997 09726178396 03325061802
Log(NOI Rentable sf) Pool (1=yes 0=no)[Yes] -00608871507 0940929417 -591 01107002034 838263437204 -05500184174 05837693269
Log(NOI Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -01393113526 08699571229 -1300 01340931949 1397855428856 -10389144106 03006382455
Log(NOI Rentable sf) Walk Score 00045000262 10045101666 045 0003337636 1423581725818 13482675372 01797136327
Log(NOI Rentable sf) of Unfurnished Apartments -00007116645 09992885887 -007 00004679272 1358400867851 -15208872073 01306124688
Log(NOI Rentable sf) Average Apt Unit Size -00001937801 09998062387 -002 00003921685 1372175013367 -04941245389 06220083144
Log(NOI Rentable sf) Age 00034607088 1003466704 035 00044548378 1376438770548 07768428318 04385844885
Log(NOI Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00488697769 10500835966 501 00828565286 1429949688826 05898120243 0556247504
Concessions rentable sf Intercept 0091580439 10959049266 959 12772069558 1418541020247 00717036801 09429387231
Concessions rentable sf Green Certified (1=yes 0=no)[Yes] 01110697527 11174728508 1175 01814813765 1293641668833 06120173584 05416004511
Concessions rentable sf Gym (1=yes 0=no)[Yes] -05094051331 06008529 -3991 02955403985 1336296409402 -17236395961 00870857294
Concessions rentable sf Pool (1=yes 0=no)[Yes] -00886152984 09151975838 -848 02791864929 69298361986 -03174053928 07518903943
Concessions rentable sf Outdoor Common Area (1=yes 0=no)[Yes] 04576291372 15803228114 5803 03455726285 1408379747117 13242632646 01875606951
Concessions rentable sf Walk Score 00120688741 10121419968 121 00085630896 1409791646097 14094064916 01609170757
Concessions rentable sf of Unfurnished Apartments -00007045588 09992956894 -007 00012075862 1364744404696 -05834438741 05605574922
Concessions rentable sf Average Apt Unit Size -00003193903 09996806607 -003 00010135961 1389703034326 -03151061148 07531537379
Concessions rentable sf Age 00130223218 10131074815 131 00115086772 139464867267 11315220311 02597773256
Concessions rentable sf Building Mix (0=multifamily 1 = mixed-use)[Mixed] -03719888249 06893619462 -3106 02129597676 1426034459287 -17467563435 00828326573
Y Term Practical Interpretation increasedecrease Probgt|t| Total Rents Collected Subtotal Maintenance Property Insurance Total Expenses
Log(Total Rents Collected rentable sf) Green Certified (1=yes 0=no)[Yes] 1047
Hopkins Erin Hopkins Erincant provide a confidencd interval for it
009 130837635934 13311489362 01847683215 67633617021
Log(Subtotal Maintenance rentable sf) Green Certified (1=yes 0=no)[Yes] 1254 010 267662568114 08839769656 0489370035 133484365708
Log(Property Insurance rentable sf) Green Certified (1=yes 0=no)[Yes] 1319 005 44887430941 07758149459 02417429373 41261056301
Log(Total All Expenses Rentable sf) Green Certified (1=yes 0=no)[Yes] 1311 003 103066299601 12390720963 00474343371 5067818194
206907297628 2385711159 02072356932 9194606526
318766961061 22633758919 04452208547 128154919371
92461669878 09545425866 01280485733 38832017239
143925847783 15966970999 02187893202 54018796992
176714125561 02006495648 02876780533 58992020575
232897515382 0726170332 00787094673 69517596041
Non-green sf average Financial Green Impact sf Financial green impact differencesf Green impactapt Green impactproperty 51780910259 05203453537 00494304264 22609306646
178353784788 17547710996 02048626598 95961490345
Total Rents Collected sf 1047 2356 2603 $ 247 $ 2189 $ 551683 113769814112 12206875575 03432049607 118156743193
Subtotal Maintenance sf 1254 160 180 $ 020 $ 178 $ 44843 301239240258 10561596849 0204970258 110903994641
Property Insurance sf 1319 036 041 $ 005 $ 42 $ 10601 918584487 08376649832 00914663991 4146546939
Total Expenses sf 1311 852 963 $ 112 $ 990 $ 249535 265183769576 19294929362 03500602344 108447158033
226055903548 13557897255 03988791741 10971207244
334894587007 17970717884 05122599181 124640467569
5542518821 31394328066 04875650977 200668786372
112655732059 13445692884 02031297086 43995867235
129139526152 1168069688 00518980213 4651511283
Avg Apt Size Avg of Units 151098478261 13975 02004130435 51873478261
192155046737 21015937064 02616549091 8357602264
887 252 514840434082 52766375656 02375463267 174375582672
81421971535 06694487849 00899424521 2748686222
30246817244 21594341279 03308639536 97277207077
488523197409 27727612187 0646599696 130752346177
318750561687 38903340576 03852711795 142409683793
310384048163 43119745565 03335824966 138846874251
Green Certification Impacts 48578215663 0350218077 03095574205 23695139998
Dependent Variable Per Square Foot Per Apartment Per Property 192237574111 13374121765 02053242615 84027476689
Total Rents Collected $ 247 $ 2189 $ 551683 62979912788 05343191729 00816289996 45390243161
Subtotal Maintenance $ 020 $ 178 $ 44843 148378959661 14651715909 02004049722 80900580942
Property Insurance $ 005 $ 42 $ 10601 196798863889 11267176542 02499920663 90266351433
Total Expenses $ 112 $ 990 $ 249535 281508617823 09686995581 01118170881 119863342059
58584849751 0106864586 04187933949 44180073736
126756167712 1265684516 02796423029 87538414144
176550549412 24957340254 02343899179 88904473415
252421786235 28063734042 03142238564 133776179357
191875932907 13637043757 03440324697 987034902
159508092934 13109374847 02091697013 98967206196
342739845467 09614092295 03929892961 129755936769
192510355167 32804720611 01743191858 134560085596
257829360401 13666691797 01527100011 56329812754
358622391559 14251973427 03437553732 101098436889
217744157919 24046486586 01864745418 68711016642
222112557003 22022148788 07879755849 97807110765
202535763689 04548110217 10003436751 127886698915
155879815194 23816051158 04816227091 119033557201
11066078843 23413202706 06413902496 81812176347
151924709838 18873401649 05711000232 105403544539
163604010853 16052949068 02714509557 82030431823
133974400047 11018949984 03560839935 59096477943
133528448829 13647819036 02538331588 66159357367
187400008959 16889788117 030870974 115752907975
155246293804 18308314258 03852380906 116657595614
34082816218 05447090935 09838411173 13641308574
201220131342 11192465065 03188344246 93786154242
139108532616 13313944086 03887737775 69698295902
191656858207 15717927807 06002115982 119380046581
200921599083 12597596226 03267106334 82474085087
57536742874 00453219212 00300766262 10569757217
120548294116 11607892527 03275736725 74435143659
123188534664 1404028789 03510968138 78762080781
59543029729 0899713372 01652374748 28143456117
144215639215 19193238703 02899837711 67370054173
340046684831 19619729415 04325060698 120608464163
208244777176 28183367899 037 73104355304
234349752613 19432301154 0351134881 107484594815
136370903402 17029933791 01989576534 50899930579
149968383478 14209793679 02735642323 63813718869
81145819519 0920766851 00474564037 30674168785
226307446224 12529424404 02036192613 69235920453
132787305462 08047482453 01232346659 41808605432
251519090044 21798380428 0376480317 80396623551
492269138212 12196979039 02981674812 128316943664
107177195916 08016374211 0113808252 40618650625
128238528886 10751217142 01843492552 6476830365
57582611557 11908427448 0874334536 134004066235
43835651097 34822540694 03904989384 146763800425
205787355386 1429219053 02624404931 5321754079
463148430769 07709353846 06150738462 101617384615
377949548611 28670972222 08296944444 109743576389
360087564176 03501711352 18551055334 110041072447
18371979614 18232783153 07267294459 61184870906
678035276363 13443501226 10431616676 167533484248
56073359244 10138647576 01591318768 51440832304
189431314891 05101557395 03677787459 41010945328
383550342095 23244425576 04086557393 98151764619
115544349685 03310482653 037 40344851625
7552318246 0955023726 01241945851 24368780848
133083101881 19451300341 00938801919 48731378614
122308363087 13760780005 01439989014 45100624828
84908269322 10857071617 01155797799 36082570734
263116048067 10733627163 041902582 60372732395
76183752731 09621126305 01069925907 26170373239
172494454001 11781600332 03919686814 59016193131
342076422068 22741368431 03165622465 73557085549
215534567901 1485497076 02210396361 49118778428
314593058927 23798916958 02751353803 121998559501
586535191691 21029046354 02109026171 91979074439
138093310078 14595490221 02142269839 44286283792
227203645682 04584630891 05737147639 93344680527
572754455737 17713614269 01642228739 92545561671
60603870458 04541110154 01180884676 15902125521
358781017266 33847643857 06854022643 139200146946
342079216629 24477703832 0463059603 67166143833
651201231187 51019950176 12529595849 222094150831
369798669702 21700816928 0444474205 101410502507
421838575952 28823013788 05443272608 151399739597
626095189209 20826275416 04947814184 184651096472
214882899762 25034709712 06359683889 109534721722
274037120739 26718517094 037 67504928595
252667703737 25588590114 05379535858 109041874345
59253832495 01099622961 04620367393 19262874847
150862851538 18053109961 07398729558 71488607075
111196959019 00928417366 037 09427894164
667360269858 07921160191 02989609494 104670639024
2356 160 036 852
Log(Vacancies amp Rent Loss rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified -00318 00916 -00313 07289
Fitness Center 01008 01480 01060 04969
Pool 01126 01133 01192 03253
Outdoor Common Area 02673 01691 03064 01162
Walk Score 00102 00041 00102 00140
of Unfurnished Apartments -00003 00006 -00003 06769
Average Apt Unit Size -00003 00005 -00003 06067
Age -00026 00056 -00026 06428
Building Mix 00099 01008 00099 09219
Note R2 = 645
Log(Total Rents Collected rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00996 00591 01047 00941
Fitness Center 00684 00962 00708 04783
Pool 00089 00916 00089 09231
Outdoor Common Area -00837 01126 -00803 04587
Walk Score 00065 00028 00065 00218
of Unfurnished Apartments -00009 00004 -00009 00290
Average Apt Unit Size -00002 00003 -00002 05298
Age 00008 00037 00008 08237
Building Mix 00043 00695 00043 09507
Note R2 = 3318
Log(Total Actual Collections rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00944 00579 00991 01052
Fitness Center 00739 00942 00767 04343
Pool 00130 00886 00131 08834
Outdoor Common Area -00794 01102 -00764 04721
Walk Score 00066 00027 00066 00176
of Unfurnished Apartments -00008 00004 -00008 00322
Average Apt Unit Size -00002 00003 -00002 05034
Age 00015 00037 00015 06799
Building Mix 00249 00678 00252 07140
Note R2 = 3219
Log(Management Fee rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00199 00593 00201 07382
Fitness Center -00082 00958 -00082 09319
Pool 00174 00772 00176 08236
Outdoor Common Area 00153 01104 00154 08898
Walk Score 00070 00028 00071 00139
of Unfurnished Apartments -00014 00004 -00014 00007
Average Apt Unit Size -00005 00003 -00005 01317
Age 00014 00037 00014 07146
Building Mix -00674 00657 -00652 03066
Note R2 = 1697
Log(Total Utilities Rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00873 00646 00912 01786
Fitness Center 01176 01048 01248 02639
Pool 00116 00929 00116 09012
Outdoor Common Area 00223 01217 00225 08551
Walk Score 00069 00030 00069 00228
of Unfurnished Apartments -00007 00004 -00007 01153
Average Apt Unit Size -00003 00004 -00003 03381
Age 00049 00041 00049 02314
Building Mix -01198 00742 -01129 01087
Note R2 = 2171
Log(MampR rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00937 00639 00983 01447
Fitness Center 00038 01036 00038 09711
Pool 01320 00887 01411 01414
Outdoor Common Area -00522 01198 -00508 06639
Walk Score 00110 00029 00111 00002
of Unfurnished Apartments -00009 00004 -00009 00377
Average Apt Unit Size 00001 00004 00001 08665
Age 00076 00040 00077 00586
Building Mix 00598 00727 00616 04122
Note R2 = 2620
Log(Subtotal Maintenance rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 01181 00708 01254 00976
Fitness Center 00409 01149 00418 07221
Pool 01516 01008 01637 01377
Outdoor Common Area -00781 01332 -00751 05587
Walk Score 00119 00033 00120 00004
of Unfurnished Apartments -00008 00005 -00008 00838
Average Apt Unit Size 00005 00004 00005 01980
Age 00104 00045 00105 00207
Building Mix 02440 00812 02764 00031
Note R2 = 3218
Log(Property Insurance rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 01239 00627 01319 00503
Fitness Center -00035 01025 -00035 09726
Pool 00227 01040 00230 08273
Outdoor Common Area 00156 01207 00157 08974
Walk Score 00073 00030 00073 00175
of Unfurnished Apartments -00010 00004 -00010 00180
Average Apt Unit Size -00006 00004 -00006 00739
Age 00010 00040 00010 08091
Building Mix -00520 00749 -00507 04887
Note R2 = 3902
Log(Total All Expenses Rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 01232 00565 01311 00311
Fitness Center 00096 00919 00097 09168
Pool 01610 00847 01747 00607
Outdoor Common Area -00362 01072 -00355 07361
Walk Score 00087 00026 00088 00012
of Unfurnished Apartments -00009 00004 -00009 00216
Average Apt Unit Size -00002 00003 -00002 06220
Age 00016 00036 00016 06614
Building Mix 00158 00658 00159 08106
Note R2 = 2943
Log(NOI Rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00932 00702 00977 01863
Fitness Center 01113 01144 01177 03325
Pool -00609 01107 -00591 05838
Outdoor Common Area -01393 01341 -01300 03006
Walk Score 00045 00033 00045 01797
of Unfurnished Apartments -00007 00005 -00007 01306
Average Apt Unit Size -00002 00004 -00002 06220
Age 00035 00045 00035 04386
Building Mix 00489 00829 00501 05562
Note R2 = 3669
Concessions rentable sf
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 01111 01815 01175 05416
Fitness Center -05094 02955 -03991 00871
Pool -00886 02792 -00848 07519
Outdoor Common Area 04576 03456 05803 01876
Walk Score 00121 00086 00121 01609
of Unfurnished Apartments -00007 00012 -00007 05606
Average Apt Unit Size -00003 00010 -00003 07532
Age 00130 00115 00131 02598
Building Mix -03720 02130 -03106 00828
Note R2 = 2402
Y Term ~Bias Estimate EXP estimate Practical Interpretation increasedecrease Std Error DFDen t Ratio Probgt|t| Estimate Std Error Practical Interpretation Significance
Log(Vacancies amp Rent Loss rentable sf) Intercept 00893029328 10934118365 934 06116337119 1083785495375 01460072116 08841869197 Green Cert
Log(Vacancies amp Rent Loss rentable sf) Green Certified (1=yes 0=no)[Yes] -0031825668 09686754385 -313 009164153 139931853592 -03472843369 07288994904 Gym
Log(Vacancies amp Rent Loss rentable sf) Gym (1=yes 0=no)[Yes] 01007730854 11060256399 1060 01479591517 1412043780621 0681087207 0496931725
Log(Vacancies amp Rent Loss rentable sf) Pool (1=yes 0=no)[Yes] 01125884395 11191712315 1192 0113345701 506840641957 09933190097 032527325
Log(Vacancies amp Rent Loss rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 02672618233 13063824429 3064 01690835398 1429144230275 15806495624 01161688791
Log(Vacancies amp Rent Loss rentable sf) Walk Score 00101642302 10102160615 102 00040763935 1219632686439 24934369735 00139912712
Log(Vacancies amp Rent Loss rentable sf) of Unfurnished Apartments -0000250981 09997490505 -003 00006011213 142449410245 -04175214322 06769256723
Log(Vacancies amp Rent Loss rentable sf) Average Apt Unit Size -00002575258 09997425074 -003 00004990119 1315989429881 -05160713681 06066705884
Log(Vacancies amp Rent Loss rentable sf) Age -00026152008 09973882158 -026 00056263988 1391583522195 -04648090107 06427946925
Log(Vacancies amp Rent Loss rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00099001013 10099492694 099 0100821633 1384002310718 00981942166 09219201454
Log(Total Rents Collected rentable sf) Intercept 30195696974 204824761253 194825 04164909532 1420770663705 72500246992 0
Log(Total Rents Collected rentable sf) Green Certified (1=yes 0=no)[Yes] 00996165255 11047471944 1047
Hopkins Erin Hopkins Erincant provide a confidencd interval for it
00590542761 1286416575023 16868638818 0094053065 0099617 00590542761 1047
Log(Total Rents Collected rentable sf) Gym (1=yes 0=no)[Yes] 00684081888 10708023088 708 0096210834 1330244953516 07110237581 04783143732
Log(Total Rents Collected rentable sf) Pool (1=yes 0=no)[Yes] 00088712036 10089106694 089 00916333982 708572236354 00968119025 09231490817
Log(Total Rents Collected rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00836597449 09197441505 -803 01126005752 1404546011941 -07429779537 04587359136
Log(Total Rents Collected rentable sf) Walk Score 0006479206 10065002414 065 0002794287 1413201347208 23187331419 00218436949
Log(Total Rents Collected rentable sf) of Unfurnished Apartments -00008678845 0999132492 -009 00003932429 1359586026848 -22069932213 00289920945 variance components to talk about how much of the total error that is attribuatle to city
Log(Total Rents Collected rentable sf) Average Apt Unit Size -00002078918 09997921298 -002 00003300088 1382568544162 -06299582685 05297616269
Log(Total Rents Collected rentable sf) Age 00008364704 10008368204 008 00037477419 1387794745176 02231931757 08237133506
Log(Total Rents Collected rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00042999624 10043092206 043 0069466499 142786243042 00618998008 09507291881
Log(Total Actual Collections rentable sf) Intercept 30681072891 215011686418 205012 04070110501 1415072794017 75381424868 0
Log(Total Actual Collections rentable sf) Green Certified (1=yes 0=no)[Yes] 00944491888 10990533175 991 00578900924 1291837028308 16315259643 01052148631
Log(Total Actual Collections rentable sf) Gym (1=yes 0=no)[Yes] 00739127176 10767128233 767 0094247393 1335821297113 07842415071 04342868782
Log(Total Actual Collections rentable sf) Pool (1=yes 0=no)[Yes] 00130418887 10131273051 131 00885804441 654593026021 01472321442 08834013324
Log(Total Actual Collections rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00794248992 0923647384 -764 01101507414 1410305976559 -07210564195 04720684016
Log(Total Actual Collections rentable sf) Walk Score 00065530115 10065745295 066 00027272037 14047408887 24028316857 00175745575
Log(Total Actual Collections rentable sf) of Unfurnished Apartments -0000833078 09991672689 -008 00003850262 1365168778586 -21636916411 00322285543
Log(Total Actual Collections rentable sf) Average Apt Unit Size -00002169447 09997830788 -002 00003233576 1393662972101 -06709126047 05033865944
Log(Total Actual Collections rentable sf) Age 00015178151 10015189676 015 0003670824 1398532082324 04134807595 06798877496
Log(Total Actual Collections rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00249154485 10252284322 252 0067842812 1423468871242 03672525904 07139760316
Log(Management Fee rentable sf) Intercept -02128803278 08082528568 -1917 04254329778 585619088893 -0500385111 06186792644
Log(Management Fee rentable sf) Green Certified (1=yes 0=no)[Yes] 0019865513 10200641454 201 00593086525 1354977267554 03349513461 07381797603
Log(Management Fee rentable sf) Gym (1=yes 0=no)[Yes] -00082052627 09918283086 -082 00958032958 1386068833723 -00856469772 09318706455
Log(Management Fee rentable sf) Pool (1=yes 0=no)[Yes] 00174275629 10175803089 176 00771880661 202180965349 02257805358 08236388274
Log(Management Fee rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00153191452 10154370848 154 01103651216 1423896402644 01388042255 08898009734
Log(Management Fee rentable sf) Walk Score 00070459229 10070708039 071 00028008303 805559990921 25156550566 0013868745
Log(Management Fee rentable sf) of Unfurnished Apartments -0001358177 09986427449 -014 00003916726 1421224837061 -34676335479 00006950146
Log(Management Fee rentable sf) Average Apt Unit Size -00005130214 09994871101 -005 00003375961 1007585612206 -15196307445 0131735624
Log(Management Fee rentable sf) Age 00013613923 10013623194 014 00037151697 1277713043957 03664414822 07146417588
Log(Management Fee rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -00674463479 09347778721 -652 00657081953 1299283630266 -10264525997 03065854809
Log(Total Utilities Rentable sf) Intercept -03748562337 06873880949 -3126 04464274077 1402143832266 -08396801522 04025171642
Log(Total Utilities Rentable sf) Green Certified (1=yes 0=no)[Yes] 00873163337 10912418217 912 0064576715 1358457024729 13521334071 01785794114
Log(Total Utilities Rentable sf) Gym (1=yes 0=no)[Yes] 01175979311 11247917766 1248 01048349264 1384172144229 11217438221 02639135776
Log(Total Utilities Rentable sf) Pool (1=yes 0=no)[Yes] 00115680134 10116351816 116 00928512423 72633370166 01245865221 09011950626
Log(Total Utilities Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00222539972 10225034645 225 01216524447 1425571484619 01829309493 0855112103
Log(Total Utilities Rentable sf) Walk Score 00068649233 10068885409 069 00029812807 1396033046894 23026759291 00227754146
Log(Total Utilities Rentable sf) of Unfurnished Apartments -00006773222 09993229071 -007 00004273761 1401067188346 -15848386198 01152575495
Log(Total Utilities Rentable sf) Average Apt Unit Size -00003442022 0999655857 -003 00003581401 1425120147852 -09610825805 03381384619
Log(Total Utilities Rentable sf) Age 00048795122 10048914364 049 00040600929 1425855030198 12018227897 02314244716
Log(Total Utilities Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -01198355423 08870663096 -1129 00742421382 1413320388001 -16141176043 01087323819
Log(MampR rentable sf) Intercept -09030689887 04053238148 -5947 0437858541 1384008312652 -20624674504 00410332652
Log(MampR rentable sf) Green Certified (1=yes 0=no)[Yes] 00937424436 10982768413 983 00639155521 1376081716673 14666609392 01447499128
Log(MampR rentable sf) Gym (1=yes 0=no)[Yes] 00037664885 10037735907 038 01036113865 1396450691334 00363520715 09710535435
Log(MampR rentable sf) Pool (1=yes 0=no)[Yes] 01319613595 11410642271 1411 00887446725 719561267791 14869778183 0141389644
Log(MampR rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00521515872 09491849716 -508 01197720975 1428478988157 -04354235112 06639122497
Log(MampR rentable sf) Walk Score 00110131704 10110740386 111 00029197236 1385662208531 37719907631 00002391344
Log(MampR rentable sf) of Unfurnished Apartments -00008849955 09991153959 -009 00004219429 1410140957414 -20974297602 0037740228
Log(MampR rentable sf) Average Apt Unit Size 00000594506 10000594524 001 0000353075 1429981472006 01683796031 08665225748
Log(MampR rentable sf) Age 0007624822 1007653965 077 00039990018 142990029884 19066812998 00585678315
Log(MampR rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00598131349 10616381449 616 00727173027 1406732379184 08225433659 04121598071
Log(Subtotal Maintenance rentable sf) Intercept -07997344997 04494482769 -5506 0489167182 1380935604874 -16348899298 01043496414
Log(Subtotal Maintenance rentable sf) Green Certified (1=yes 0=no)[Yes] 01180969773 11253532398 1254 00707986514 1348907221481 16680681771 00976219515
Log(Subtotal Maintenance rentable sf) Gym (1=yes 0=no)[Yes] 00409351965 10417845921 418 01148796072 1378640116803 03563312718 07221372278
Log(Subtotal Maintenance rentable sf) Pool (1=yes 0=no)[Yes] 01515780559 11636691295 1637 0100780712 617547240206 15040383505 01376688864
Log(Subtotal Maintenance rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -0078076377 09248937833 -751 01331885868 1426567369893 -05862092154 05586613077
Log(Subtotal Maintenance rentable sf) Walk Score 0011889233 10119601909 120 00032614069 1377504918879 36454307183 00003773801
Log(Subtotal Maintenance rentable sf) of Unfurnished Apartments -00008153416 09991849907 -008 00004682078 1398534995511 -17414095506 00838107083
Log(Subtotal Maintenance rentable sf) Average Apt Unit Size 00005083484 10005084776 005 00003930253 1428434249161 12934242295 01979520949
Log(Subtotal Maintenance rentable sf) Age 00104106727 10104650523 105 00044515054 1428449267664 23386858733 00207383998
Log(Subtotal Maintenance rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 02440298206 12763823925 2764 0081177414 1402563601749 30061295196 00031359748
Log(Property Insurance rentable sf) Intercept -08916874806 04099633635 -5900 04516384713 1429624291993 -19743390727 00502702101
Log(Property Insurance rentable sf) Green Certified (1=yes 0=no)[Yes] 01239058141 11319092561 1319 0062692592 1281678143933 19764027959 00502564371
Log(Property Insurance rentable sf) Gym (1=yes 0=no)[Yes] -0003522638 09964835593 -035 01024969537 1314939748594 -0034368221 09726356404
Log(Property Insurance rentable sf) Pool (1=yes 0=no)[Yes] 00227423743 10230029538 230 01040308572 1125700947624 02186118131 08273482928
Log(Property Insurance rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00155809876 10157030041 157 01206677853 1368483458399 01291230096 08974498986
Log(Property Insurance rentable sf) Walk Score 00072977866 10073244804 073 00030353828 1428602075435 24042392705 00174877086
Log(Property Insurance rentable sf) of Unfurnished Apartments -00010061941 09989943119 -010 0000420017 1337858380697 -23956034086 00179774093
Log(Property Insurance rentable sf) Average Apt Unit Size -00006330482 09993671521 -006 00003514502 1338864329416 -18012458048 0073914725
Log(Property Insurance rentable sf) Age 00009661099 10009665767 010 00039921418 1338497494964 02420028921 08091483095
Log(Property Insurance rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -00520208103 09493091112 -507 00749301111 1411273861679 -06942577501 04886618561
Log(Total All Expenses Rentable sf) Intercept 17410862845 57035357214 47035 03946731547 141889623796 44114636723 00000201648
Log(Total All Expenses Rentable sf) Green Certified (1=yes 0=no)[Yes] 01231722438 11310792255 1311 00565275641 1341244163534 21789766772 00310802733
Log(Total All Expenses Rentable sf) Gym (1=yes 0=no)[Yes] 00096244971 10096709615 097 00919378962 1370603130567 01046847658 09167789899
Log(Total All Expenses Rentable sf) Pool (1=yes 0=no)[Yes] 01610294116 11747195186 1747 00846545666 801516751987 19021940341 00607378863
Log(Total All Expenses Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00361842114 09644626121 -355 01071504659 1418739239709 -03376953252 07360919324
Log(Total All Expenses Rentable sf) Walk Score 00087371658 10087754463 088 00026426023 1411809488418 33062734678 00011989895
Log(Total All Expenses Rentable sf) of Unfurnished Apartments -00008720665 09991283137 -009 00003752966 1389800988186 -23236728617 00215934791
Log(Total All Expenses Rentable sf) Average Apt Unit Size -0000155413 0999844599 -002 00003145108 1409449329598 -0494142052 06219751067
Log(Total All Expenses Rentable sf) Age 00015666155 10015678433 016 00035695206 1412387206124 04388868073 06614142124
Log(Total All Expenses Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00157918953 10159172462 159 00657593447 1424551160559 02401467861 08105616925
Log(NOI Rentable sf) Intercept 27416093787 155119295878 145119 049686036 1426328429735 55178669889 0000000157
Log(NOI Rentable sf) Green Certified (1=yes 0=no)[Yes] 00932241108 10977077159 977 00701671113 1292740226257 13286012361 01863200879
Log(NOI Rentable sf) Gym (1=yes 0=no)[Yes] 0111280688 11177085902 1177 0114413579 13320261997 09726178396 03325061802
Log(NOI Rentable sf) Pool (1=yes 0=no)[Yes] -00608871507 0940929417 -591 01107002034 838263437204 -05500184174 05837693269
Log(NOI Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -01393113526 08699571229 -1300 01340931949 1397855428856 -10389144106 03006382455
Log(NOI Rentable sf) Walk Score 00045000262 10045101666 045 0003337636 1423581725818 13482675372 01797136327
Log(NOI Rentable sf) of Unfurnished Apartments -00007116645 09992885887 -007 00004679272 1358400867851 -15208872073 01306124688
Log(NOI Rentable sf) Average Apt Unit Size -00001937801 09998062387 -002 00003921685 1372175013367 -04941245389 06220083144
Log(NOI Rentable sf) Age 00034607088 1003466704 035 00044548378 1376438770548 07768428318 04385844885
Log(NOI Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00488697769 10500835966 501 00828565286 1429949688826 05898120243 0556247504
Concessions rentable sf Intercept 0091580439 10959049266 959 12772069558 1418541020247 00717036801 09429387231
Concessions rentable sf Green Certified (1=yes 0=no)[Yes] 01110697527 11174728508 1175 01814813765 1293641668833 06120173584 05416004511
Concessions rentable sf Gym (1=yes 0=no)[Yes] -05094051331 06008529 -3991 02955403985 1336296409402 -17236395961 00870857294
Concessions rentable sf Pool (1=yes 0=no)[Yes] -00886152984 09151975838 -848 02791864929 69298361986 -03174053928 07518903943
Concessions rentable sf Outdoor Common Area (1=yes 0=no)[Yes] 04576291372 15803228114 5803 03455726285 1408379747117 13242632646 01875606951
Concessions rentable sf Walk Score 00120688741 10121419968 121 00085630896 1409791646097 14094064916 01609170757
Concessions rentable sf of Unfurnished Apartments -00007045588 09992956894 -007 00012075862 1364744404696 -05834438741 05605574922
Concessions rentable sf Average Apt Unit Size -00003193903 09996806607 -003 00010135961 1389703034326 -03151061148 07531537379
Concessions rentable sf Age 00130223218 10131074815 131 00115086772 139464867267 11315220311 02597773256
Concessions rentable sf Building Mix (0=multifamily 1 = mixed-use)[Mixed] -03719888249 06893619462 -3106 02129597676 1426034459287 -17467563435 00828326573
Page 22: AUGUST 21- 23, 2018 • CLEVELAND, OHIO€¦ · Business Case 2.0: New Research Around High Performing Buildings Thursday 23 rd, 2018 10:30am – 12:00pm

Thank you

Money Matters Exploring the Financial Impacts of Green Certifications in the Multifamily Rental Sector

Erin A Hopkins PhD CAPS LEED Green AssociateAssistant Professor of Property Management

bull Sample 153 properties from 2 of National Multifamily Housing Councilrsquos 2016 50 Largest Apartment Managers

bull Green-certified 2288 of properties (35 properties)bull Methodology Multiple Regression Analysisbull Controls Location Fitness Center Pool Outdoor Common Area Walk

Score of Unfurnished Apartments Average Apartment Unit Size Age Building Mix

bull Limitations Building class not directly taken into account

Overview of Research

Certifications Represented in Sample

Austin Energy Green Buildingreg (AEGB)

Rating System(3)

ENERGY STARreg

(1)

Florida Green Building Coalition

(FGBC)(1)

GreenPoint Rated(4)

LEEDreg

(16)

National Green Building Standardtrade

(NGBS)(11)

Properties by City

2

4

2 2 21 1

3

1 1 12 2

1 1 1

6

1 1

8

11

4

6

14

3

1

19

3

1 1

7

43

2

9

18

2 2

0

2

4

6

8

10

12

14

16

18

20

Summary Statistics of City Datan=153

Summary Satistics of City Data Green Bldgs Summary Satistics of City Data Non-Green Comparables

Descriptive

97

71

100

31

89

69

93

24

0

20

40

60

80

100

120

Fitness Center Pool Outdoor Common Area Mixed-Use Property

Summary Statistics of Green vs Non-Green Propertiesn = 153

Green Non-Green

Descriptive

73228

866

2011

74

259

894

2003

0

500

1000

1500

2000

2500

Walk Score Average Number of Units Average Apt Unit Size (sf) Age

Summary Statistics of Green vs Non-Green Properties

n = 153

Green Non-Green

Findings

Total Rents Collected1047

Total Maintenance1254

Property Insurance1319

Total Expenses1311

Higher rents and expenses

Financial Impacts of Green

Dependent Variable Per Square Foot Per Apartment Per PropertyTotal Rents Collected 247$ 2189$ 551683$ Subtotal Maintenance 020$ 178$ 44843$ Property Insurance 005$ 42$ 10601$ Total Expenses 112$ 990$ 249535$

Coefficients Standard Errors

Tables

Summary of Green Impacts

Summary Table

Discussion

bull Assume efficient operations will offset the higher rent

bull Philanthropic motivesbull Prestige motivesbull Green buildings tend to be newermore

likely to offer the more sought-after amenities and finishes

bull Tend to be in higher-income areaslikely have higher rents

Different motivations for paying higher rent may be in

play

Discussion

Higher Operating Expenses a Surprise

Does not align with much of the existing researchhellipbut no research on effects of green certification on total operating expenses within multifamily rental sector

Many of the certifications represented in this study focus on the design phase of the property vs the operations and maintenance phase

And although promotion of sustainability is on the rise in the multifamily housing sector staff may remain unfamiliar with the unique operations and maintenance of green

buildings

Final Thoughts

Apartment homes represent $13 trillion to the US economy and 5 million new rental households are expected by 2023 (National Multifamily Housing Council 2015)

Upfront capital constraints regulatory issues knowledge limitations and marketing concerns may diminish the attractiveness of multifamily rental green building

certification if not properly managed

Most studies focus on office sector andor strictly rents or property value

This study begins to look at the multifamily rental sector and offer a more comprehensive analysis

Further research is needed with larger datasets to understand effects of green certification on income statement components in the apartment industry as NOI

ultimately determines property market valueOptimism that this study can be the impetus for further research contributions on the

financial environmental and resident satisfaction impacts of green practices and certifications on the multifamily rental sector

Contact informationErin A Hopkinserinz1vtedu

Acknowledgementsbull Todd Feist Sustainability Program Manager at The Institute of

Real Estate Management (IREMreg) for his assistance with this research project

bull Yardi and IREMreg for the grant awarded to support this researchbull The two property management companies for sharing their data

BUILDING PERFORMANCE

UNLOCKINGVALUE

New DOE-driven Research Around High Performing Buildings

AUGUST 23 2018

ANDREW WHITEASSOCIATE MANAGERawhiteretechadvisorscom

2015-2016 bull Research design working group pilot study data lab

2017 bull Connect to Real Estate Research Institute (RERI) Literature review and gap analysis

2018 bull Research agenda request for proposals research project selection and execution

Context Setting ndash DOE Research EffortWhat are the impacts of energy efficiency and high-performance building

features on financial performance of commercial real estate

RERIrsquos mission is to encourage and reward research on real estate as an investment and as an asset class that is both academically rigorous and of value to the institutional real estate investment profession In addition RERI serves to provide a forum through which the real estate academic professional and regulatory communities can interact facilitating the exchange of insights amongst these stakeholders

RERI Overview

Sponsors

Build upon DOErsquos Review of Studies in the Market

bull Focus explicitly on peer-reviewed papers Gap analysis of existing research to

identifybull Questions that have already been

sufficiently provenbull Holes in existing body of research

Academic Inputbull Guidance on which studies to includebull Suggestions for how to conduct analysis

Literature Review Objectives

Literature Review Results

LEED

ENER

GY

ST

AR

labe

l

ENER

GY

ST

AR

sc

ore

Ener

gy u

se

BR

EEA

M

Ener

gy

Perf

orm

anc

e Cer

tific

ates

(U

K)

BO

MA

B

EST

Wal

kabi

lity

Non

-ene

rgy

gree

n fe

atur

es

Oth

er

Rent 20 18 1 2 2 2 1 1 1Rent concessions 1 1 1Sales price 9 11 1 1 1 1Assessed value 2 2Market value 1 2 1 2 1Occupancy 10 9 1Lease renewals 1 1 1Service charge 1Operating cost 2 3Energy cost 2 3Tenant satisfaction 1 1 1Sales time 1 1Default rate 2 1Capitalization rate 1 2 2 1Net operating income 1 1 1Loan to value ratio 1 1Debt service coverage ratio 1 1Worker productivity 1 1Other 5 4 1 4 2 2

There is considerable evidence that green building certifications correlate with increased economic value primarily via higher rents and sales prices

bull How do we move beyond certification to analyze performancebull Correlation vs Causation

bull What is driving added value Is it green features and efficiency the green labels themselves or other desirable features often included in certified buildings

Panel studies could help reduce some of the uncertainty and noise Full results presented at ACEEE Summer Study

bull Raising the Rent Premium Moving Green Building Research Beyond Certifications and Rent

bull Cindy Zhu Andrew White Paul Mathew Jeff Deason Philip Coleman

Literature Review Results

Research Agenda Core QuestionldquoHow does ltenergygreen metricgt affect ltfinancial value metricgtrdquo

EnergyGreen Metric

Site energy use or EUI

Source energy use or EUI

Energy cost or costsf

ENERGY STAR score

ENERGY STAR label

Green Building Certification (LEED BOMA 360)

Green Building Certification level (eg LEED Silver Gold)

Financial Value Metric

VacancyOccupancy Sales Price

Leasing Velocity (absorption speed of sales leasing)

Regulatory amp Compliance Risk

Tenant Renewals Insurance (rates ability)

Tenant Satisfaction Default Risk

Rental Income and Rent Concessions Debt Service Coverage Ratio

Marketing Costs Access to Funding

Utility Costs Maintenance OpEx Interest Rates

Obsolescence Reserves

Capitalization Rates

12 proposals received 5 projects selected Criteria

bull Department of Energy goals

bull Impact on Commercial Real Estate (CRE) Industry

bull Feasibility and Interest

bull Quality and Validity

Proposal Reviews

Jim Clayton Avis Devine (York University) and Rogier Holtermans(University of Guelph) Analyzing four types of energy

efficiency interventions on financial components that impact property-level NOI

bull How do interventions impact different aspects of building operations and their subsequent financial impact

Beyond Environmental Building Certification The Impact of Environmental Interventions on Commercial Real Estate Operations

Piet Eichholtz and Nils Kok (Maastricht University) and RogierHoltermans (University of Guelph) Three key questions

bull How is environmental building certification related to commercial building energy consumption

bull How does aging affect the energy consumption of the commercial building stock

bull To what extent do specific energy efficiency investments affect energy consumption in commercial real estate

The Dynamics of Energy Consumption in Commercial Real Estate

Sofia Dermisi Chris Lee and YoungjinChoe (University of Washington) Exploring the effect of disclosure

policies on office building marketability while assessing potential links between market performance of sustainable assets

bull Before and after the disclosure policies while considering market cycles

bull Before and after ENERGY STAR andor LEED certification

Markets included San Francisco Washington DC

Effect of Energy Benchmarking and Disclosure on Office Building Marketability

Dirk Brounen (Tilburg University) and Gianluca Marcato (Reading University) Analyzing the adoption of GRESB within the public real estate markets and

predicting a potential impact of GRESB scores on REIT returns

Sustainable Insights and Public Real Estate Performance GRESB Effects in REIT Markets

Constantine Kontokosta (New York University) Franz Fuerst(Cambridge University) Gary Pivo (University of Arizona) amp Jacob Sagi (UNC Chapel Hill) Utilizing NYC data to empirically model

bull the spread between the premium for labeled (energy efficient) buildings and the cost to retrofit an under-performing building to meet the same standard which will allow us to understand how much of the observed premium is attributable to energy efficiency and how much can be assigned to other perceived benefits (marketing construction quality etc)

bull the hurdle rate for energy retrofit investments using actual audit data and permitted renovation work

Estimating Office and Residential Building Energy Retrofit Hurdle Rates and Risk Arbitrage in Energy Efficiency Investments

Collecting data for continued Data Lab analysis Presenting Research findings

bull Interim research results ndash IPC Research Symposium (October)bull Greenbuild Session (November)bull RERI Research Conference (April)bull Final research results ndash Better Buildings Webinars Summit 2019 (TBA)

Work with DOE case study and data analysis opportunities abound

Next Steps

Paul Mathew

Lawrence Berkeley National Laboratorypamathewlblgov

Paulo Issler

University of California Berkeleypauloisslerberkeleyedu

Erin Hopkins

Virginia Techerinz1vtedu

Andrew White

RE Tech Advisorsawhiteretechadvisorscom

Contact Info

  • Slide Number 1
  • Business Case 20 New Research Around High Performing Buildings
  • Panelists
  • Energy and Default Risk in Commercial Mortgages
  • Paulo Issler
  • Acknowledgements
  • The link between energy and CRE mortgages
  • Approach Impact of energy on default rate
  • Default risk and source EUI (cont)
  • Default risk and source EUI
  • Default risk and source EUI (cont)
  • Default risk and source EUI (cont)
  • What are the impacts on specific loans
  • Case Studies
  • Denver Office ndash energy use and default risk
  • Denver Office ndash energy price and default risk
  • Case Studies ndash summary of risks impacts
  • Case Studies ndash business impact
  • Looking Ahead
  • Looking Ahead ndash our vision
  • Recommendations
  • Slide Number 22
  • Money Matters Exploring the Financial Impacts of Green Certifications in the Multifamily Rental SectorErin A Hopkins PhD CAPS LEED Green AssociateAssistant Professor of Property Management
  • Overview of Research
  • Certifications Represented in Sample
  • Properties by City
  • Descriptive
  • Descriptive
  • Findings
  • Financial Impacts of Green
  • Discussion
  • Discussion
  • Final Thoughts
  • Slide Number 34
  • Slide Number 35
  • Context Setting ndash DOE Research Effort
  • RERI Overview
  • Literature Review Objectives
  • Literature Review Results
  • Literature Review Results
  • Research Agenda Core Question
  • Proposal Reviews
  • Beyond Environmental Building Certification The Impact of Environmental Interventions on Commercial Real Estate Operations
  • The Dynamics of Energy Consumption in Commercial Real Estate
  • Effect of Energy Benchmarking and Disclosure on Office Building Marketability
  • Sustainable Insights and Public Real Estate Performance GRESB Effects in REIT Markets
  • Estimating Office and Residential Building Energy Retrofit Hurdle Rates and Risk Arbitrage in Energy Efficiency Investments
  • Next Steps
  • Contact Info
Y Term ~Bias Estimate EXP estimate Practical Interpretation increasedecrease Std Error DFDen t Ratio Probgt|t| Log(Vacancies amp Rent Loss rentable sf) Log(Total Rents Collected rentable sf) Log(Total Actual Collections rentable sf) Log(Management Fee rentable sf) Log(Total Utilities Rentable sf) Log(MampR rentable sf) Log(Subtotal Maintenance rentable sf) Log(Property Insurance rentable sf) Log(Total All Expenses Rentable sf) Log(NOI Rentable sf) Concessions rentable sf
Log(Vacancies amp Rent Loss rentable sf) Intercept 00893029328 10934118365 934 06116337119 1083785495375 01460072116 08841869197 Green Certified (1=yes 0=no)[Yes] -00318 01047 00991
Log(Vacancies amp Rent Loss rentable sf) Green Certified (1=yes 0=no)[Yes] -0031825668 09686754385 -313 009164153 139931853592 -03472843369 07288994904 Gym (1=yes 0=no)[Yes] 01060 00708 00767
Log(Vacancies amp Rent Loss rentable sf) Gym (1=yes 0=no)[Yes] 01007730854 11060256399 1060 01479591517 1412043780621 0681087207 0496931725 Pool (1=yes 0=no)[Yes] 01126 00089 00131
Log(Vacancies amp Rent Loss rentable sf) Pool (1=yes 0=no)[Yes] 01125884395 11191712315 1192 0113345701 506840641957 09933190097 032527325 Outdoor Common Area (1=yes 0=no)[Yes] 02673 -00803 -00764
Log(Vacancies amp Rent Loss rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 02672618233 13063824429 3064 01690835398 1429144230275 15806495624 01161688791 Walk Score 00102 00065 00066
Log(Vacancies amp Rent Loss rentable sf) Walk Score 00101642302 10102160615 102 00040763935 1219632686439 24934369735 00139912712 of Unfurnished Apartments -00003 -00009 -00008
Log(Vacancies amp Rent Loss rentable sf) of Unfurnished Apartments -0000250981 09997490505 -003 00006011213 142449410245 -04175214322 06769256723 Average Apt Unit Size -00003 -00002 -00002
Log(Vacancies amp Rent Loss rentable sf) Average Apt Unit Size -00002575258 09997425074 -003 00004990119 1315989429881 -05160713681 06066705884 Age -00026 00008 00015
Log(Vacancies amp Rent Loss rentable sf) Age -00026152008 09973882158 -026 00056263988 1391583522195 -04648090107 06427946925 Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00099 00043 00252
Log(Vacancies amp Rent Loss rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00099001013 10099492694 099 0100821633 1384002310718 00981942166 09219201454
Log(Total Rents Collected rentable sf) Intercept 30195696974 204824761253 194825 04164909532 1420770663705 72500246992 0
Log(Total Rents Collected rentable sf) Green Certified (1=yes 0=no)[Yes] 00996165255 11047471944 1047
Hopkins Erin Hopkins Erincant provide a confidencd interval for it
00590542761 1286416575023 16868638818 0094053065
Log(Total Rents Collected rentable sf) Gym (1=yes 0=no)[Yes] 00684081888 10708023088 708 0096210834 1330244953516 07110237581 04783143732
Log(Total Rents Collected rentable sf) Pool (1=yes 0=no)[Yes] 00088712036 10089106694 089 00916333982 708572236354 00968119025 09231490817
Log(Total Rents Collected rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00836597449 09197441505 -803 01126005752 1404546011941 -07429779537 04587359136
Log(Total Rents Collected rentable sf) Walk Score 0006479206 10065002414 065 0002794287 1413201347208 23187331419 00218436949
Log(Total Rents Collected rentable sf) of Unfurnished Apartments -00008678845 0999132492 -009 00003932429 1359586026848 -22069932213 00289920945
Log(Total Rents Collected rentable sf) Average Apt Unit Size -00002078918 09997921298 -002 00003300088 1382568544162 -06299582685 05297616269
Log(Total Rents Collected rentable sf) Age 00008364704 10008368204 008 00037477419 1387794745176 02231931757 08237133506
Log(Total Rents Collected rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00042999624 10043092206 043 0069466499 142786243042 00618998008 09507291881
Log(Total Actual Collections rentable sf) Intercept 30681072891 215011686418 205012 04070110501 1415072794017 75381424868 0
Log(Total Actual Collections rentable sf) Green Certified (1=yes 0=no)[Yes] 00944491888 10990533175 991 00578900924 1291837028308 16315259643 01052148631
Log(Total Actual Collections rentable sf) Gym (1=yes 0=no)[Yes] 00739127176 10767128233 767 0094247393 1335821297113 07842415071 04342868782
Log(Total Actual Collections rentable sf) Pool (1=yes 0=no)[Yes] 00130418887 10131273051 131 00885804441 654593026021 01472321442 08834013324
Log(Total Actual Collections rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00794248992 0923647384 -764 01101507414 1410305976559 -07210564195 04720684016
Log(Total Actual Collections rentable sf) Walk Score 00065530115 10065745295 066 00027272037 14047408887 24028316857 00175745575
Log(Total Actual Collections rentable sf) of Unfurnished Apartments -0000833078 09991672689 -008 00003850262 1365168778586 -21636916411 00322285543
Log(Total Actual Collections rentable sf) Average Apt Unit Size -00002169447 09997830788 -002 00003233576 1393662972101 -06709126047 05033865944
Log(Total Actual Collections rentable sf) Age 00015178151 10015189676 015 0003670824 1398532082324 04134807595 06798877496
Log(Total Actual Collections rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00249154485 10252284322 252 0067842812 1423468871242 03672525904 07139760316
Log(Management Fee rentable sf) Intercept -02128803278 08082528568 -1917 04254329778 585619088893 -0500385111 06186792644
Log(Management Fee rentable sf) Green Certified (1=yes 0=no)[Yes] 0019865513 10200641454 201 00593086525 1354977267554 03349513461 07381797603
Log(Management Fee rentable sf) Gym (1=yes 0=no)[Yes] -00082052627 09918283086 -082 00958032958 1386068833723 -00856469772 09318706455
Log(Management Fee rentable sf) Pool (1=yes 0=no)[Yes] 00174275629 10175803089 176 00771880661 202180965349 02257805358 08236388274
Log(Management Fee rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00153191452 10154370848 154 01103651216 1423896402644 01388042255 08898009734
Log(Management Fee rentable sf) Walk Score 00070459229 10070708039 071 00028008303 805559990921 25156550566 0013868745
Log(Management Fee rentable sf) of Unfurnished Apartments -0001358177 09986427449 -014 00003916726 1421224837061 -34676335479 00006950146
Log(Management Fee rentable sf) Average Apt Unit Size -00005130214 09994871101 -005 00003375961 1007585612206 -15196307445 0131735624
Log(Management Fee rentable sf) Age 00013613923 10013623194 014 00037151697 1277713043957 03664414822 07146417588
Log(Management Fee rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -00674463479 09347778721 -652 00657081953 1299283630266 -10264525997 03065854809
Log(Total Utilities Rentable sf) Intercept -03748562337 06873880949 -3126 04464274077 1402143832266 -08396801522 04025171642
Log(Total Utilities Rentable sf) Green Certified (1=yes 0=no)[Yes] 00873163337 10912418217 912 0064576715 1358457024729 13521334071 01785794114
Log(Total Utilities Rentable sf) Gym (1=yes 0=no)[Yes] 01175979311 11247917766 1248 01048349264 1384172144229 11217438221 02639135776
Log(Total Utilities Rentable sf) Pool (1=yes 0=no)[Yes] 00115680134 10116351816 116 00928512423 72633370166 01245865221 09011950626
Log(Total Utilities Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00222539972 10225034645 225 01216524447 1425571484619 01829309493 0855112103
Log(Total Utilities Rentable sf) Walk Score 00068649233 10068885409 069 00029812807 1396033046894 23026759291 00227754146
Log(Total Utilities Rentable sf) of Unfurnished Apartments -00006773222 09993229071 -007 00004273761 1401067188346 -15848386198 01152575495
Log(Total Utilities Rentable sf) Average Apt Unit Size -00003442022 0999655857 -003 00003581401 1425120147852 -09610825805 03381384619
Log(Total Utilities Rentable sf) Age 00048795122 10048914364 049 00040600929 1425855030198 12018227897 02314244716
Log(Total Utilities Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -01198355423 08870663096 -1129 00742421382 1413320388001 -16141176043 01087323819
Log(MampR rentable sf) Intercept -09030689887 04053238148 -5947 0437858541 1384008312652 -20624674504 00410332652
Log(MampR rentable sf) Green Certified (1=yes 0=no)[Yes] 00937424436 10982768413 983 00639155521 1376081716673 14666609392 01447499128
Log(MampR rentable sf) Gym (1=yes 0=no)[Yes] 00037664885 10037735907 038 01036113865 1396450691334 00363520715 09710535435
Log(MampR rentable sf) Pool (1=yes 0=no)[Yes] 01319613595 11410642271 1411 00887446725 719561267791 14869778183 0141389644
Log(MampR rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00521515872 09491849716 -508 01197720975 1428478988157 -04354235112 06639122497
Log(MampR rentable sf) Walk Score 00110131704 10110740386 111 00029197236 1385662208531 37719907631 00002391344
Log(MampR rentable sf) of Unfurnished Apartments -00008849955 09991153959 -009 00004219429 1410140957414 -20974297602 0037740228
Log(MampR rentable sf) Average Apt Unit Size 00000594506 10000594524 001 0000353075 1429981472006 01683796031 08665225748
Log(MampR rentable sf) Age 0007624822 1007653965 077 00039990018 142990029884 19066812998 00585678315
Log(MampR rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00598131349 10616381449 616 00727173027 1406732379184 08225433659 04121598071
Log(Subtotal Maintenance rentable sf) Intercept -07997344997 04494482769 -5506 0489167182 1380935604874 -16348899298 01043496414
Log(Subtotal Maintenance rentable sf) Green Certified (1=yes 0=no)[Yes] 01180969773 11253532398 1254 00707986514 1348907221481 16680681771 00976219515
Log(Subtotal Maintenance rentable sf) Gym (1=yes 0=no)[Yes] 00409351965 10417845921 418 01148796072 1378640116803 03563312718 07221372278
Log(Subtotal Maintenance rentable sf) Pool (1=yes 0=no)[Yes] 01515780559 11636691295 1637 0100780712 617547240206 15040383505 01376688864
Log(Subtotal Maintenance rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -0078076377 09248937833 -751 01331885868 1426567369893 -05862092154 05586613077
Log(Subtotal Maintenance rentable sf) Walk Score 0011889233 10119601909 120 00032614069 1377504918879 36454307183 00003773801
Log(Subtotal Maintenance rentable sf) of Unfurnished Apartments -00008153416 09991849907 -008 00004682078 1398534995511 -17414095506 00838107083
Log(Subtotal Maintenance rentable sf) Average Apt Unit Size 00005083484 10005084776 005 00003930253 1428434249161 12934242295 01979520949
Log(Subtotal Maintenance rentable sf) Age 00104106727 10104650523 105 00044515054 1428449267664 23386858733 00207383998
Log(Subtotal Maintenance rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 02440298206 12763823925 2764 0081177414 1402563601749 30061295196 00031359748
Log(Property Insurance rentable sf) Intercept -08916874806 04099633635 -5900 04516384713 1429624291993 -19743390727 00502702101
Log(Property Insurance rentable sf) Green Certified (1=yes 0=no)[Yes] 01239058141 11319092561 1319 0062692592 1281678143933 19764027959 00502564371
Log(Property Insurance rentable sf) Gym (1=yes 0=no)[Yes] -0003522638 09964835593 -035 01024969537 1314939748594 -0034368221 09726356404
Log(Property Insurance rentable sf) Pool (1=yes 0=no)[Yes] 00227423743 10230029538 230 01040308572 1125700947624 02186118131 08273482928
Log(Property Insurance rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00155809876 10157030041 157 01206677853 1368483458399 01291230096 08974498986
Log(Property Insurance rentable sf) Walk Score 00072977866 10073244804 073 00030353828 1428602075435 24042392705 00174877086
Log(Property Insurance rentable sf) of Unfurnished Apartments -00010061941 09989943119 -010 0000420017 1337858380697 -23956034086 00179774093
Log(Property Insurance rentable sf) Average Apt Unit Size -00006330482 09993671521 -006 00003514502 1338864329416 -18012458048 0073914725
Log(Property Insurance rentable sf) Age 00009661099 10009665767 010 00039921418 1338497494964 02420028921 08091483095
Log(Property Insurance rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -00520208103 09493091112 -507 00749301111 1411273861679 -06942577501 04886618561
Log(Total All Expenses Rentable sf) Intercept 17410862845 57035357214 47035 03946731547 141889623796 44114636723 00000201648
Log(Total All Expenses Rentable sf) Green Certified (1=yes 0=no)[Yes] 01231722438 11310792255 1311 00565275641 1341244163534 21789766772 00310802733
Log(Total All Expenses Rentable sf) Gym (1=yes 0=no)[Yes] 00096244971 10096709615 097 00919378962 1370603130567 01046847658 09167789899
Log(Total All Expenses Rentable sf) Pool (1=yes 0=no)[Yes] 01610294116 11747195186 1747 00846545666 801516751987 19021940341 00607378863
Log(Total All Expenses Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00361842114 09644626121 -355 01071504659 1418739239709 -03376953252 07360919324
Log(Total All Expenses Rentable sf) Walk Score 00087371658 10087754463 088 00026426023 1411809488418 33062734678 00011989895
Log(Total All Expenses Rentable sf) of Unfurnished Apartments -00008720665 09991283137 -009 00003752966 1389800988186 -23236728617 00215934791
Log(Total All Expenses Rentable sf) Average Apt Unit Size -0000155413 0999844599 -002 00003145108 1409449329598 -0494142052 06219751067
Log(Total All Expenses Rentable sf) Age 00015666155 10015678433 016 00035695206 1412387206124 04388868073 06614142124
Log(Total All Expenses Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00157918953 10159172462 159 00657593447 1424551160559 02401467861 08105616925
Log(NOI Rentable sf) Intercept 27416093787 155119295878 145119 049686036 1426328429735 55178669889 0000000157
Log(NOI Rentable sf) Green Certified (1=yes 0=no)[Yes] 00932241108 10977077159 977 00701671113 1292740226257 13286012361 01863200879
Log(NOI Rentable sf) Gym (1=yes 0=no)[Yes] 0111280688 11177085902 1177 0114413579 13320261997 09726178396 03325061802
Log(NOI Rentable sf) Pool (1=yes 0=no)[Yes] -00608871507 0940929417 -591 01107002034 838263437204 -05500184174 05837693269
Log(NOI Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -01393113526 08699571229 -1300 01340931949 1397855428856 -10389144106 03006382455
Log(NOI Rentable sf) Walk Score 00045000262 10045101666 045 0003337636 1423581725818 13482675372 01797136327
Log(NOI Rentable sf) of Unfurnished Apartments -00007116645 09992885887 -007 00004679272 1358400867851 -15208872073 01306124688
Log(NOI Rentable sf) Average Apt Unit Size -00001937801 09998062387 -002 00003921685 1372175013367 -04941245389 06220083144
Log(NOI Rentable sf) Age 00034607088 1003466704 035 00044548378 1376438770548 07768428318 04385844885
Log(NOI Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00488697769 10500835966 501 00828565286 1429949688826 05898120243 0556247504
Concessions rentable sf Intercept 0091580439 10959049266 959 12772069558 1418541020247 00717036801 09429387231
Concessions rentable sf Green Certified (1=yes 0=no)[Yes] 01110697527 11174728508 1175 01814813765 1293641668833 06120173584 05416004511
Concessions rentable sf Gym (1=yes 0=no)[Yes] -05094051331 06008529 -3991 02955403985 1336296409402 -17236395961 00870857294
Concessions rentable sf Pool (1=yes 0=no)[Yes] -00886152984 09151975838 -848 02791864929 69298361986 -03174053928 07518903943
Concessions rentable sf Outdoor Common Area (1=yes 0=no)[Yes] 04576291372 15803228114 5803 03455726285 1408379747117 13242632646 01875606951
Concessions rentable sf Walk Score 00120688741 10121419968 121 00085630896 1409791646097 14094064916 01609170757
Concessions rentable sf of Unfurnished Apartments -00007045588 09992956894 -007 00012075862 1364744404696 -05834438741 05605574922
Concessions rentable sf Average Apt Unit Size -00003193903 09996806607 -003 00010135961 1389703034326 -03151061148 07531537379
Concessions rentable sf Age 00130223218 10131074815 131 00115086772 139464867267 11315220311 02597773256
Concessions rentable sf Building Mix (0=multifamily 1 = mixed-use)[Mixed] -03719888249 06893619462 -3106 02129597676 1426034459287 -17467563435 00828326573
Y Term Practical Interpretation increasedecrease Probgt|t| Total Rents Collected Subtotal Maintenance Property Insurance Total Expenses
Log(Total Rents Collected rentable sf) Green Certified (1=yes 0=no)[Yes] 1047
Hopkins Erin Hopkins Erincant provide a confidencd interval for it
009 130837635934 13311489362 01847683215 67633617021
Log(Subtotal Maintenance rentable sf) Green Certified (1=yes 0=no)[Yes] 1254 010 267662568114 08839769656 0489370035 133484365708
Log(Property Insurance rentable sf) Green Certified (1=yes 0=no)[Yes] 1319 005 44887430941 07758149459 02417429373 41261056301
Log(Total All Expenses Rentable sf) Green Certified (1=yes 0=no)[Yes] 1311 003 103066299601 12390720963 00474343371 5067818194
206907297628 2385711159 02072356932 9194606526
318766961061 22633758919 04452208547 128154919371
92461669878 09545425866 01280485733 38832017239
143925847783 15966970999 02187893202 54018796992
176714125561 02006495648 02876780533 58992020575
232897515382 0726170332 00787094673 69517596041
Non-green sf average Financial Green Impact sf Financial green impact differencesf Green impactapt Green impactproperty 51780910259 05203453537 00494304264 22609306646
178353784788 17547710996 02048626598 95961490345
Total Rents Collected sf 1047 2356 2603 $ 247 $ 2189 $ 551683 113769814112 12206875575 03432049607 118156743193
Subtotal Maintenance sf 1254 160 180 $ 020 $ 178 $ 44843 301239240258 10561596849 0204970258 110903994641
Property Insurance sf 1319 036 041 $ 005 $ 42 $ 10601 918584487 08376649832 00914663991 4146546939
Total Expenses sf 1311 852 963 $ 112 $ 990 $ 249535 265183769576 19294929362 03500602344 108447158033
226055903548 13557897255 03988791741 10971207244
334894587007 17970717884 05122599181 124640467569
5542518821 31394328066 04875650977 200668786372
112655732059 13445692884 02031297086 43995867235
129139526152 1168069688 00518980213 4651511283
Avg Apt Size Avg of Units 151098478261 13975 02004130435 51873478261
192155046737 21015937064 02616549091 8357602264
887 252 514840434082 52766375656 02375463267 174375582672
81421971535 06694487849 00899424521 2748686222
30246817244 21594341279 03308639536 97277207077
488523197409 27727612187 0646599696 130752346177
318750561687 38903340576 03852711795 142409683793
310384048163 43119745565 03335824966 138846874251
Green Certification Impacts 48578215663 0350218077 03095574205 23695139998
Dependent Variable Per Square Foot Per Apartment Per Property 192237574111 13374121765 02053242615 84027476689
Total Rents Collected $ 247 $ 2189 $ 551683 62979912788 05343191729 00816289996 45390243161
Subtotal Maintenance $ 020 $ 178 $ 44843 148378959661 14651715909 02004049722 80900580942
Property Insurance $ 005 $ 42 $ 10601 196798863889 11267176542 02499920663 90266351433
Total Expenses $ 112 $ 990 $ 249535 281508617823 09686995581 01118170881 119863342059
58584849751 0106864586 04187933949 44180073736
126756167712 1265684516 02796423029 87538414144
176550549412 24957340254 02343899179 88904473415
252421786235 28063734042 03142238564 133776179357
191875932907 13637043757 03440324697 987034902
159508092934 13109374847 02091697013 98967206196
342739845467 09614092295 03929892961 129755936769
192510355167 32804720611 01743191858 134560085596
257829360401 13666691797 01527100011 56329812754
358622391559 14251973427 03437553732 101098436889
217744157919 24046486586 01864745418 68711016642
222112557003 22022148788 07879755849 97807110765
202535763689 04548110217 10003436751 127886698915
155879815194 23816051158 04816227091 119033557201
11066078843 23413202706 06413902496 81812176347
151924709838 18873401649 05711000232 105403544539
163604010853 16052949068 02714509557 82030431823
133974400047 11018949984 03560839935 59096477943
133528448829 13647819036 02538331588 66159357367
187400008959 16889788117 030870974 115752907975
155246293804 18308314258 03852380906 116657595614
34082816218 05447090935 09838411173 13641308574
201220131342 11192465065 03188344246 93786154242
139108532616 13313944086 03887737775 69698295902
191656858207 15717927807 06002115982 119380046581
200921599083 12597596226 03267106334 82474085087
57536742874 00453219212 00300766262 10569757217
120548294116 11607892527 03275736725 74435143659
123188534664 1404028789 03510968138 78762080781
59543029729 0899713372 01652374748 28143456117
144215639215 19193238703 02899837711 67370054173
340046684831 19619729415 04325060698 120608464163
208244777176 28183367899 037 73104355304
234349752613 19432301154 0351134881 107484594815
136370903402 17029933791 01989576534 50899930579
149968383478 14209793679 02735642323 63813718869
81145819519 0920766851 00474564037 30674168785
226307446224 12529424404 02036192613 69235920453
132787305462 08047482453 01232346659 41808605432
251519090044 21798380428 0376480317 80396623551
492269138212 12196979039 02981674812 128316943664
107177195916 08016374211 0113808252 40618650625
128238528886 10751217142 01843492552 6476830365
57582611557 11908427448 0874334536 134004066235
43835651097 34822540694 03904989384 146763800425
205787355386 1429219053 02624404931 5321754079
463148430769 07709353846 06150738462 101617384615
377949548611 28670972222 08296944444 109743576389
360087564176 03501711352 18551055334 110041072447
18371979614 18232783153 07267294459 61184870906
678035276363 13443501226 10431616676 167533484248
56073359244 10138647576 01591318768 51440832304
189431314891 05101557395 03677787459 41010945328
383550342095 23244425576 04086557393 98151764619
115544349685 03310482653 037 40344851625
7552318246 0955023726 01241945851 24368780848
133083101881 19451300341 00938801919 48731378614
122308363087 13760780005 01439989014 45100624828
84908269322 10857071617 01155797799 36082570734
263116048067 10733627163 041902582 60372732395
76183752731 09621126305 01069925907 26170373239
172494454001 11781600332 03919686814 59016193131
342076422068 22741368431 03165622465 73557085549
215534567901 1485497076 02210396361 49118778428
314593058927 23798916958 02751353803 121998559501
586535191691 21029046354 02109026171 91979074439
138093310078 14595490221 02142269839 44286283792
227203645682 04584630891 05737147639 93344680527
572754455737 17713614269 01642228739 92545561671
60603870458 04541110154 01180884676 15902125521
358781017266 33847643857 06854022643 139200146946
342079216629 24477703832 0463059603 67166143833
651201231187 51019950176 12529595849 222094150831
369798669702 21700816928 0444474205 101410502507
421838575952 28823013788 05443272608 151399739597
626095189209 20826275416 04947814184 184651096472
214882899762 25034709712 06359683889 109534721722
274037120739 26718517094 037 67504928595
252667703737 25588590114 05379535858 109041874345
59253832495 01099622961 04620367393 19262874847
150862851538 18053109961 07398729558 71488607075
111196959019 00928417366 037 09427894164
667360269858 07921160191 02989609494 104670639024
2356 160 036 852
Log(Vacancies amp Rent Loss rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified -00318 00916 -00313 07289
Fitness Center 01008 01480 01060 04969
Pool 01126 01133 01192 03253
Outdoor Common Area 02673 01691 03064 01162
Walk Score 00102 00041 00102 00140
of Unfurnished Apartments -00003 00006 -00003 06769
Average Apt Unit Size -00003 00005 -00003 06067
Age -00026 00056 -00026 06428
Building Mix 00099 01008 00099 09219
Note R2 = 645
Log(Total Rents Collected rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00996 00591 01047 00941
Fitness Center 00684 00962 00708 04783
Pool 00089 00916 00089 09231
Outdoor Common Area -00837 01126 -00803 04587
Walk Score 00065 00028 00065 00218
of Unfurnished Apartments -00009 00004 -00009 00290
Average Apt Unit Size -00002 00003 -00002 05298
Age 00008 00037 00008 08237
Building Mix 00043 00695 00043 09507
Note R2 = 3318
Log(Total Actual Collections rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00944 00579 00991 01052
Fitness Center 00739 00942 00767 04343
Pool 00130 00886 00131 08834
Outdoor Common Area -00794 01102 -00764 04721
Walk Score 00066 00027 00066 00176
of Unfurnished Apartments -00008 00004 -00008 00322
Average Apt Unit Size -00002 00003 -00002 05034
Age 00015 00037 00015 06799
Building Mix 00249 00678 00252 07140
Note R2 = 3219
Log(Management Fee rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00199 00593 00201 07382
Fitness Center -00082 00958 -00082 09319
Pool 00174 00772 00176 08236
Outdoor Common Area 00153 01104 00154 08898
Walk Score 00070 00028 00071 00139
of Unfurnished Apartments -00014 00004 -00014 00007
Average Apt Unit Size -00005 00003 -00005 01317
Age 00014 00037 00014 07146
Building Mix -00674 00657 -00652 03066
Note R2 = 1697
Log(Total Utilities Rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00873 00646 00912 01786
Fitness Center 01176 01048 01248 02639
Pool 00116 00929 00116 09012
Outdoor Common Area 00223 01217 00225 08551
Walk Score 00069 00030 00069 00228
of Unfurnished Apartments -00007 00004 -00007 01153
Average Apt Unit Size -00003 00004 -00003 03381
Age 00049 00041 00049 02314
Building Mix -01198 00742 -01129 01087
Note R2 = 2171
Log(MampR rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00937 00639 00983 01447
Fitness Center 00038 01036 00038 09711
Pool 01320 00887 01411 01414
Outdoor Common Area -00522 01198 -00508 06639
Walk Score 00110 00029 00111 00002
of Unfurnished Apartments -00009 00004 -00009 00377
Average Apt Unit Size 00001 00004 00001 08665
Age 00076 00040 00077 00586
Building Mix 00598 00727 00616 04122
Note R2 = 2620
Log(Subtotal Maintenance rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 01181 00708 01254 00976
Fitness Center 00409 01149 00418 07221
Pool 01516 01008 01637 01377
Outdoor Common Area -00781 01332 -00751 05587
Walk Score 00119 00033 00120 00004
of Unfurnished Apartments -00008 00005 -00008 00838
Average Apt Unit Size 00005 00004 00005 01980
Age 00104 00045 00105 00207
Building Mix 02440 00812 02764 00031
Note R2 = 3218
Log(Property Insurance rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 01239 00627 01319 00503
Fitness Center -00035 01025 -00035 09726
Pool 00227 01040 00230 08273
Outdoor Common Area 00156 01207 00157 08974
Walk Score 00073 00030 00073 00175
of Unfurnished Apartments -00010 00004 -00010 00180
Average Apt Unit Size -00006 00004 -00006 00739
Age 00010 00040 00010 08091
Building Mix -00520 00749 -00507 04887
Note R2 = 3902
Log(Total All Expenses Rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 01232 00565 01311 00311
Fitness Center 00096 00919 00097 09168
Pool 01610 00847 01747 00607
Outdoor Common Area -00362 01072 -00355 07361
Walk Score 00087 00026 00088 00012
of Unfurnished Apartments -00009 00004 -00009 00216
Average Apt Unit Size -00002 00003 -00002 06220
Age 00016 00036 00016 06614
Building Mix 00158 00658 00159 08106
Note R2 = 2943
Log(NOI Rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00932 00702 00977 01863
Fitness Center 01113 01144 01177 03325
Pool -00609 01107 -00591 05838
Outdoor Common Area -01393 01341 -01300 03006
Walk Score 00045 00033 00045 01797
of Unfurnished Apartments -00007 00005 -00007 01306
Average Apt Unit Size -00002 00004 -00002 06220
Age 00035 00045 00035 04386
Building Mix 00489 00829 00501 05562
Note R2 = 3669
Concessions rentable sf
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 01111 01815 01175 05416
Fitness Center -05094 02955 -03991 00871
Pool -00886 02792 -00848 07519
Outdoor Common Area 04576 03456 05803 01876
Walk Score 00121 00086 00121 01609
of Unfurnished Apartments -00007 00012 -00007 05606
Average Apt Unit Size -00003 00010 -00003 07532
Age 00130 00115 00131 02598
Building Mix -03720 02130 -03106 00828
Note R2 = 2402
Y Term ~Bias Estimate EXP estimate Practical Interpretation increasedecrease Std Error DFDen t Ratio Probgt|t| Estimate Std Error Practical Interpretation Significance
Log(Vacancies amp Rent Loss rentable sf) Intercept 00893029328 10934118365 934 06116337119 1083785495375 01460072116 08841869197 Green Cert
Log(Vacancies amp Rent Loss rentable sf) Green Certified (1=yes 0=no)[Yes] -0031825668 09686754385 -313 009164153 139931853592 -03472843369 07288994904 Gym
Log(Vacancies amp Rent Loss rentable sf) Gym (1=yes 0=no)[Yes] 01007730854 11060256399 1060 01479591517 1412043780621 0681087207 0496931725
Log(Vacancies amp Rent Loss rentable sf) Pool (1=yes 0=no)[Yes] 01125884395 11191712315 1192 0113345701 506840641957 09933190097 032527325
Log(Vacancies amp Rent Loss rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 02672618233 13063824429 3064 01690835398 1429144230275 15806495624 01161688791
Log(Vacancies amp Rent Loss rentable sf) Walk Score 00101642302 10102160615 102 00040763935 1219632686439 24934369735 00139912712
Log(Vacancies amp Rent Loss rentable sf) of Unfurnished Apartments -0000250981 09997490505 -003 00006011213 142449410245 -04175214322 06769256723
Log(Vacancies amp Rent Loss rentable sf) Average Apt Unit Size -00002575258 09997425074 -003 00004990119 1315989429881 -05160713681 06066705884
Log(Vacancies amp Rent Loss rentable sf) Age -00026152008 09973882158 -026 00056263988 1391583522195 -04648090107 06427946925
Log(Vacancies amp Rent Loss rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00099001013 10099492694 099 0100821633 1384002310718 00981942166 09219201454
Log(Total Rents Collected rentable sf) Intercept 30195696974 204824761253 194825 04164909532 1420770663705 72500246992 0
Log(Total Rents Collected rentable sf) Green Certified (1=yes 0=no)[Yes] 00996165255 11047471944 1047
Hopkins Erin Hopkins Erincant provide a confidencd interval for it
00590542761 1286416575023 16868638818 0094053065 0099617 00590542761 1047
Log(Total Rents Collected rentable sf) Gym (1=yes 0=no)[Yes] 00684081888 10708023088 708 0096210834 1330244953516 07110237581 04783143732
Log(Total Rents Collected rentable sf) Pool (1=yes 0=no)[Yes] 00088712036 10089106694 089 00916333982 708572236354 00968119025 09231490817
Log(Total Rents Collected rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00836597449 09197441505 -803 01126005752 1404546011941 -07429779537 04587359136
Log(Total Rents Collected rentable sf) Walk Score 0006479206 10065002414 065 0002794287 1413201347208 23187331419 00218436949
Log(Total Rents Collected rentable sf) of Unfurnished Apartments -00008678845 0999132492 -009 00003932429 1359586026848 -22069932213 00289920945 variance components to talk about how much of the total error that is attribuatle to city
Log(Total Rents Collected rentable sf) Average Apt Unit Size -00002078918 09997921298 -002 00003300088 1382568544162 -06299582685 05297616269
Log(Total Rents Collected rentable sf) Age 00008364704 10008368204 008 00037477419 1387794745176 02231931757 08237133506
Log(Total Rents Collected rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00042999624 10043092206 043 0069466499 142786243042 00618998008 09507291881
Log(Total Actual Collections rentable sf) Intercept 30681072891 215011686418 205012 04070110501 1415072794017 75381424868 0
Log(Total Actual Collections rentable sf) Green Certified (1=yes 0=no)[Yes] 00944491888 10990533175 991 00578900924 1291837028308 16315259643 01052148631
Log(Total Actual Collections rentable sf) Gym (1=yes 0=no)[Yes] 00739127176 10767128233 767 0094247393 1335821297113 07842415071 04342868782
Log(Total Actual Collections rentable sf) Pool (1=yes 0=no)[Yes] 00130418887 10131273051 131 00885804441 654593026021 01472321442 08834013324
Log(Total Actual Collections rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00794248992 0923647384 -764 01101507414 1410305976559 -07210564195 04720684016
Log(Total Actual Collections rentable sf) Walk Score 00065530115 10065745295 066 00027272037 14047408887 24028316857 00175745575
Log(Total Actual Collections rentable sf) of Unfurnished Apartments -0000833078 09991672689 -008 00003850262 1365168778586 -21636916411 00322285543
Log(Total Actual Collections rentable sf) Average Apt Unit Size -00002169447 09997830788 -002 00003233576 1393662972101 -06709126047 05033865944
Log(Total Actual Collections rentable sf) Age 00015178151 10015189676 015 0003670824 1398532082324 04134807595 06798877496
Log(Total Actual Collections rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00249154485 10252284322 252 0067842812 1423468871242 03672525904 07139760316
Log(Management Fee rentable sf) Intercept -02128803278 08082528568 -1917 04254329778 585619088893 -0500385111 06186792644
Log(Management Fee rentable sf) Green Certified (1=yes 0=no)[Yes] 0019865513 10200641454 201 00593086525 1354977267554 03349513461 07381797603
Log(Management Fee rentable sf) Gym (1=yes 0=no)[Yes] -00082052627 09918283086 -082 00958032958 1386068833723 -00856469772 09318706455
Log(Management Fee rentable sf) Pool (1=yes 0=no)[Yes] 00174275629 10175803089 176 00771880661 202180965349 02257805358 08236388274
Log(Management Fee rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00153191452 10154370848 154 01103651216 1423896402644 01388042255 08898009734
Log(Management Fee rentable sf) Walk Score 00070459229 10070708039 071 00028008303 805559990921 25156550566 0013868745
Log(Management Fee rentable sf) of Unfurnished Apartments -0001358177 09986427449 -014 00003916726 1421224837061 -34676335479 00006950146
Log(Management Fee rentable sf) Average Apt Unit Size -00005130214 09994871101 -005 00003375961 1007585612206 -15196307445 0131735624
Log(Management Fee rentable sf) Age 00013613923 10013623194 014 00037151697 1277713043957 03664414822 07146417588
Log(Management Fee rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -00674463479 09347778721 -652 00657081953 1299283630266 -10264525997 03065854809
Log(Total Utilities Rentable sf) Intercept -03748562337 06873880949 -3126 04464274077 1402143832266 -08396801522 04025171642
Log(Total Utilities Rentable sf) Green Certified (1=yes 0=no)[Yes] 00873163337 10912418217 912 0064576715 1358457024729 13521334071 01785794114
Log(Total Utilities Rentable sf) Gym (1=yes 0=no)[Yes] 01175979311 11247917766 1248 01048349264 1384172144229 11217438221 02639135776
Log(Total Utilities Rentable sf) Pool (1=yes 0=no)[Yes] 00115680134 10116351816 116 00928512423 72633370166 01245865221 09011950626
Log(Total Utilities Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00222539972 10225034645 225 01216524447 1425571484619 01829309493 0855112103
Log(Total Utilities Rentable sf) Walk Score 00068649233 10068885409 069 00029812807 1396033046894 23026759291 00227754146
Log(Total Utilities Rentable sf) of Unfurnished Apartments -00006773222 09993229071 -007 00004273761 1401067188346 -15848386198 01152575495
Log(Total Utilities Rentable sf) Average Apt Unit Size -00003442022 0999655857 -003 00003581401 1425120147852 -09610825805 03381384619
Log(Total Utilities Rentable sf) Age 00048795122 10048914364 049 00040600929 1425855030198 12018227897 02314244716
Log(Total Utilities Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -01198355423 08870663096 -1129 00742421382 1413320388001 -16141176043 01087323819
Log(MampR rentable sf) Intercept -09030689887 04053238148 -5947 0437858541 1384008312652 -20624674504 00410332652
Log(MampR rentable sf) Green Certified (1=yes 0=no)[Yes] 00937424436 10982768413 983 00639155521 1376081716673 14666609392 01447499128
Log(MampR rentable sf) Gym (1=yes 0=no)[Yes] 00037664885 10037735907 038 01036113865 1396450691334 00363520715 09710535435
Log(MampR rentable sf) Pool (1=yes 0=no)[Yes] 01319613595 11410642271 1411 00887446725 719561267791 14869778183 0141389644
Log(MampR rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00521515872 09491849716 -508 01197720975 1428478988157 -04354235112 06639122497
Log(MampR rentable sf) Walk Score 00110131704 10110740386 111 00029197236 1385662208531 37719907631 00002391344
Log(MampR rentable sf) of Unfurnished Apartments -00008849955 09991153959 -009 00004219429 1410140957414 -20974297602 0037740228
Log(MampR rentable sf) Average Apt Unit Size 00000594506 10000594524 001 0000353075 1429981472006 01683796031 08665225748
Log(MampR rentable sf) Age 0007624822 1007653965 077 00039990018 142990029884 19066812998 00585678315
Log(MampR rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00598131349 10616381449 616 00727173027 1406732379184 08225433659 04121598071
Log(Subtotal Maintenance rentable sf) Intercept -07997344997 04494482769 -5506 0489167182 1380935604874 -16348899298 01043496414
Log(Subtotal Maintenance rentable sf) Green Certified (1=yes 0=no)[Yes] 01180969773 11253532398 1254 00707986514 1348907221481 16680681771 00976219515
Log(Subtotal Maintenance rentable sf) Gym (1=yes 0=no)[Yes] 00409351965 10417845921 418 01148796072 1378640116803 03563312718 07221372278
Log(Subtotal Maintenance rentable sf) Pool (1=yes 0=no)[Yes] 01515780559 11636691295 1637 0100780712 617547240206 15040383505 01376688864
Log(Subtotal Maintenance rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -0078076377 09248937833 -751 01331885868 1426567369893 -05862092154 05586613077
Log(Subtotal Maintenance rentable sf) Walk Score 0011889233 10119601909 120 00032614069 1377504918879 36454307183 00003773801
Log(Subtotal Maintenance rentable sf) of Unfurnished Apartments -00008153416 09991849907 -008 00004682078 1398534995511 -17414095506 00838107083
Log(Subtotal Maintenance rentable sf) Average Apt Unit Size 00005083484 10005084776 005 00003930253 1428434249161 12934242295 01979520949
Log(Subtotal Maintenance rentable sf) Age 00104106727 10104650523 105 00044515054 1428449267664 23386858733 00207383998
Log(Subtotal Maintenance rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 02440298206 12763823925 2764 0081177414 1402563601749 30061295196 00031359748
Log(Property Insurance rentable sf) Intercept -08916874806 04099633635 -5900 04516384713 1429624291993 -19743390727 00502702101
Log(Property Insurance rentable sf) Green Certified (1=yes 0=no)[Yes] 01239058141 11319092561 1319 0062692592 1281678143933 19764027959 00502564371
Log(Property Insurance rentable sf) Gym (1=yes 0=no)[Yes] -0003522638 09964835593 -035 01024969537 1314939748594 -0034368221 09726356404
Log(Property Insurance rentable sf) Pool (1=yes 0=no)[Yes] 00227423743 10230029538 230 01040308572 1125700947624 02186118131 08273482928
Log(Property Insurance rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00155809876 10157030041 157 01206677853 1368483458399 01291230096 08974498986
Log(Property Insurance rentable sf) Walk Score 00072977866 10073244804 073 00030353828 1428602075435 24042392705 00174877086
Log(Property Insurance rentable sf) of Unfurnished Apartments -00010061941 09989943119 -010 0000420017 1337858380697 -23956034086 00179774093
Log(Property Insurance rentable sf) Average Apt Unit Size -00006330482 09993671521 -006 00003514502 1338864329416 -18012458048 0073914725
Log(Property Insurance rentable sf) Age 00009661099 10009665767 010 00039921418 1338497494964 02420028921 08091483095
Log(Property Insurance rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -00520208103 09493091112 -507 00749301111 1411273861679 -06942577501 04886618561
Log(Total All Expenses Rentable sf) Intercept 17410862845 57035357214 47035 03946731547 141889623796 44114636723 00000201648
Log(Total All Expenses Rentable sf) Green Certified (1=yes 0=no)[Yes] 01231722438 11310792255 1311 00565275641 1341244163534 21789766772 00310802733
Log(Total All Expenses Rentable sf) Gym (1=yes 0=no)[Yes] 00096244971 10096709615 097 00919378962 1370603130567 01046847658 09167789899
Log(Total All Expenses Rentable sf) Pool (1=yes 0=no)[Yes] 01610294116 11747195186 1747 00846545666 801516751987 19021940341 00607378863
Log(Total All Expenses Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00361842114 09644626121 -355 01071504659 1418739239709 -03376953252 07360919324
Log(Total All Expenses Rentable sf) Walk Score 00087371658 10087754463 088 00026426023 1411809488418 33062734678 00011989895
Log(Total All Expenses Rentable sf) of Unfurnished Apartments -00008720665 09991283137 -009 00003752966 1389800988186 -23236728617 00215934791
Log(Total All Expenses Rentable sf) Average Apt Unit Size -0000155413 0999844599 -002 00003145108 1409449329598 -0494142052 06219751067
Log(Total All Expenses Rentable sf) Age 00015666155 10015678433 016 00035695206 1412387206124 04388868073 06614142124
Log(Total All Expenses Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00157918953 10159172462 159 00657593447 1424551160559 02401467861 08105616925
Log(NOI Rentable sf) Intercept 27416093787 155119295878 145119 049686036 1426328429735 55178669889 0000000157
Log(NOI Rentable sf) Green Certified (1=yes 0=no)[Yes] 00932241108 10977077159 977 00701671113 1292740226257 13286012361 01863200879
Log(NOI Rentable sf) Gym (1=yes 0=no)[Yes] 0111280688 11177085902 1177 0114413579 13320261997 09726178396 03325061802
Log(NOI Rentable sf) Pool (1=yes 0=no)[Yes] -00608871507 0940929417 -591 01107002034 838263437204 -05500184174 05837693269
Log(NOI Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -01393113526 08699571229 -1300 01340931949 1397855428856 -10389144106 03006382455
Log(NOI Rentable sf) Walk Score 00045000262 10045101666 045 0003337636 1423581725818 13482675372 01797136327
Log(NOI Rentable sf) of Unfurnished Apartments -00007116645 09992885887 -007 00004679272 1358400867851 -15208872073 01306124688
Log(NOI Rentable sf) Average Apt Unit Size -00001937801 09998062387 -002 00003921685 1372175013367 -04941245389 06220083144
Log(NOI Rentable sf) Age 00034607088 1003466704 035 00044548378 1376438770548 07768428318 04385844885
Log(NOI Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00488697769 10500835966 501 00828565286 1429949688826 05898120243 0556247504
Concessions rentable sf Intercept 0091580439 10959049266 959 12772069558 1418541020247 00717036801 09429387231
Concessions rentable sf Green Certified (1=yes 0=no)[Yes] 01110697527 11174728508 1175 01814813765 1293641668833 06120173584 05416004511
Concessions rentable sf Gym (1=yes 0=no)[Yes] -05094051331 06008529 -3991 02955403985 1336296409402 -17236395961 00870857294
Concessions rentable sf Pool (1=yes 0=no)[Yes] -00886152984 09151975838 -848 02791864929 69298361986 -03174053928 07518903943
Concessions rentable sf Outdoor Common Area (1=yes 0=no)[Yes] 04576291372 15803228114 5803 03455726285 1408379747117 13242632646 01875606951
Concessions rentable sf Walk Score 00120688741 10121419968 121 00085630896 1409791646097 14094064916 01609170757
Concessions rentable sf of Unfurnished Apartments -00007045588 09992956894 -007 00012075862 1364744404696 -05834438741 05605574922
Concessions rentable sf Average Apt Unit Size -00003193903 09996806607 -003 00010135961 1389703034326 -03151061148 07531537379
Concessions rentable sf Age 00130223218 10131074815 131 00115086772 139464867267 11315220311 02597773256
Concessions rentable sf Building Mix (0=multifamily 1 = mixed-use)[Mixed] -03719888249 06893619462 -3106 02129597676 1426034459287 -17467563435 00828326573
Page 23: AUGUST 21- 23, 2018 • CLEVELAND, OHIO€¦ · Business Case 2.0: New Research Around High Performing Buildings Thursday 23 rd, 2018 10:30am – 12:00pm

Money Matters Exploring the Financial Impacts of Green Certifications in the Multifamily Rental Sector

Erin A Hopkins PhD CAPS LEED Green AssociateAssistant Professor of Property Management

bull Sample 153 properties from 2 of National Multifamily Housing Councilrsquos 2016 50 Largest Apartment Managers

bull Green-certified 2288 of properties (35 properties)bull Methodology Multiple Regression Analysisbull Controls Location Fitness Center Pool Outdoor Common Area Walk

Score of Unfurnished Apartments Average Apartment Unit Size Age Building Mix

bull Limitations Building class not directly taken into account

Overview of Research

Certifications Represented in Sample

Austin Energy Green Buildingreg (AEGB)

Rating System(3)

ENERGY STARreg

(1)

Florida Green Building Coalition

(FGBC)(1)

GreenPoint Rated(4)

LEEDreg

(16)

National Green Building Standardtrade

(NGBS)(11)

Properties by City

2

4

2 2 21 1

3

1 1 12 2

1 1 1

6

1 1

8

11

4

6

14

3

1

19

3

1 1

7

43

2

9

18

2 2

0

2

4

6

8

10

12

14

16

18

20

Summary Statistics of City Datan=153

Summary Satistics of City Data Green Bldgs Summary Satistics of City Data Non-Green Comparables

Descriptive

97

71

100

31

89

69

93

24

0

20

40

60

80

100

120

Fitness Center Pool Outdoor Common Area Mixed-Use Property

Summary Statistics of Green vs Non-Green Propertiesn = 153

Green Non-Green

Descriptive

73228

866

2011

74

259

894

2003

0

500

1000

1500

2000

2500

Walk Score Average Number of Units Average Apt Unit Size (sf) Age

Summary Statistics of Green vs Non-Green Properties

n = 153

Green Non-Green

Findings

Total Rents Collected1047

Total Maintenance1254

Property Insurance1319

Total Expenses1311

Higher rents and expenses

Financial Impacts of Green

Dependent Variable Per Square Foot Per Apartment Per PropertyTotal Rents Collected 247$ 2189$ 551683$ Subtotal Maintenance 020$ 178$ 44843$ Property Insurance 005$ 42$ 10601$ Total Expenses 112$ 990$ 249535$

Coefficients Standard Errors

Tables

Summary of Green Impacts

Summary Table

Discussion

bull Assume efficient operations will offset the higher rent

bull Philanthropic motivesbull Prestige motivesbull Green buildings tend to be newermore

likely to offer the more sought-after amenities and finishes

bull Tend to be in higher-income areaslikely have higher rents

Different motivations for paying higher rent may be in

play

Discussion

Higher Operating Expenses a Surprise

Does not align with much of the existing researchhellipbut no research on effects of green certification on total operating expenses within multifamily rental sector

Many of the certifications represented in this study focus on the design phase of the property vs the operations and maintenance phase

And although promotion of sustainability is on the rise in the multifamily housing sector staff may remain unfamiliar with the unique operations and maintenance of green

buildings

Final Thoughts

Apartment homes represent $13 trillion to the US economy and 5 million new rental households are expected by 2023 (National Multifamily Housing Council 2015)

Upfront capital constraints regulatory issues knowledge limitations and marketing concerns may diminish the attractiveness of multifamily rental green building

certification if not properly managed

Most studies focus on office sector andor strictly rents or property value

This study begins to look at the multifamily rental sector and offer a more comprehensive analysis

Further research is needed with larger datasets to understand effects of green certification on income statement components in the apartment industry as NOI

ultimately determines property market valueOptimism that this study can be the impetus for further research contributions on the

financial environmental and resident satisfaction impacts of green practices and certifications on the multifamily rental sector

Contact informationErin A Hopkinserinz1vtedu

Acknowledgementsbull Todd Feist Sustainability Program Manager at The Institute of

Real Estate Management (IREMreg) for his assistance with this research project

bull Yardi and IREMreg for the grant awarded to support this researchbull The two property management companies for sharing their data

BUILDING PERFORMANCE

UNLOCKINGVALUE

New DOE-driven Research Around High Performing Buildings

AUGUST 23 2018

ANDREW WHITEASSOCIATE MANAGERawhiteretechadvisorscom

2015-2016 bull Research design working group pilot study data lab

2017 bull Connect to Real Estate Research Institute (RERI) Literature review and gap analysis

2018 bull Research agenda request for proposals research project selection and execution

Context Setting ndash DOE Research EffortWhat are the impacts of energy efficiency and high-performance building

features on financial performance of commercial real estate

RERIrsquos mission is to encourage and reward research on real estate as an investment and as an asset class that is both academically rigorous and of value to the institutional real estate investment profession In addition RERI serves to provide a forum through which the real estate academic professional and regulatory communities can interact facilitating the exchange of insights amongst these stakeholders

RERI Overview

Sponsors

Build upon DOErsquos Review of Studies in the Market

bull Focus explicitly on peer-reviewed papers Gap analysis of existing research to

identifybull Questions that have already been

sufficiently provenbull Holes in existing body of research

Academic Inputbull Guidance on which studies to includebull Suggestions for how to conduct analysis

Literature Review Objectives

Literature Review Results

LEED

ENER

GY

ST

AR

labe

l

ENER

GY

ST

AR

sc

ore

Ener

gy u

se

BR

EEA

M

Ener

gy

Perf

orm

anc

e Cer

tific

ates

(U

K)

BO

MA

B

EST

Wal

kabi

lity

Non

-ene

rgy

gree

n fe

atur

es

Oth

er

Rent 20 18 1 2 2 2 1 1 1Rent concessions 1 1 1Sales price 9 11 1 1 1 1Assessed value 2 2Market value 1 2 1 2 1Occupancy 10 9 1Lease renewals 1 1 1Service charge 1Operating cost 2 3Energy cost 2 3Tenant satisfaction 1 1 1Sales time 1 1Default rate 2 1Capitalization rate 1 2 2 1Net operating income 1 1 1Loan to value ratio 1 1Debt service coverage ratio 1 1Worker productivity 1 1Other 5 4 1 4 2 2

There is considerable evidence that green building certifications correlate with increased economic value primarily via higher rents and sales prices

bull How do we move beyond certification to analyze performancebull Correlation vs Causation

bull What is driving added value Is it green features and efficiency the green labels themselves or other desirable features often included in certified buildings

Panel studies could help reduce some of the uncertainty and noise Full results presented at ACEEE Summer Study

bull Raising the Rent Premium Moving Green Building Research Beyond Certifications and Rent

bull Cindy Zhu Andrew White Paul Mathew Jeff Deason Philip Coleman

Literature Review Results

Research Agenda Core QuestionldquoHow does ltenergygreen metricgt affect ltfinancial value metricgtrdquo

EnergyGreen Metric

Site energy use or EUI

Source energy use or EUI

Energy cost or costsf

ENERGY STAR score

ENERGY STAR label

Green Building Certification (LEED BOMA 360)

Green Building Certification level (eg LEED Silver Gold)

Financial Value Metric

VacancyOccupancy Sales Price

Leasing Velocity (absorption speed of sales leasing)

Regulatory amp Compliance Risk

Tenant Renewals Insurance (rates ability)

Tenant Satisfaction Default Risk

Rental Income and Rent Concessions Debt Service Coverage Ratio

Marketing Costs Access to Funding

Utility Costs Maintenance OpEx Interest Rates

Obsolescence Reserves

Capitalization Rates

12 proposals received 5 projects selected Criteria

bull Department of Energy goals

bull Impact on Commercial Real Estate (CRE) Industry

bull Feasibility and Interest

bull Quality and Validity

Proposal Reviews

Jim Clayton Avis Devine (York University) and Rogier Holtermans(University of Guelph) Analyzing four types of energy

efficiency interventions on financial components that impact property-level NOI

bull How do interventions impact different aspects of building operations and their subsequent financial impact

Beyond Environmental Building Certification The Impact of Environmental Interventions on Commercial Real Estate Operations

Piet Eichholtz and Nils Kok (Maastricht University) and RogierHoltermans (University of Guelph) Three key questions

bull How is environmental building certification related to commercial building energy consumption

bull How does aging affect the energy consumption of the commercial building stock

bull To what extent do specific energy efficiency investments affect energy consumption in commercial real estate

The Dynamics of Energy Consumption in Commercial Real Estate

Sofia Dermisi Chris Lee and YoungjinChoe (University of Washington) Exploring the effect of disclosure

policies on office building marketability while assessing potential links between market performance of sustainable assets

bull Before and after the disclosure policies while considering market cycles

bull Before and after ENERGY STAR andor LEED certification

Markets included San Francisco Washington DC

Effect of Energy Benchmarking and Disclosure on Office Building Marketability

Dirk Brounen (Tilburg University) and Gianluca Marcato (Reading University) Analyzing the adoption of GRESB within the public real estate markets and

predicting a potential impact of GRESB scores on REIT returns

Sustainable Insights and Public Real Estate Performance GRESB Effects in REIT Markets

Constantine Kontokosta (New York University) Franz Fuerst(Cambridge University) Gary Pivo (University of Arizona) amp Jacob Sagi (UNC Chapel Hill) Utilizing NYC data to empirically model

bull the spread between the premium for labeled (energy efficient) buildings and the cost to retrofit an under-performing building to meet the same standard which will allow us to understand how much of the observed premium is attributable to energy efficiency and how much can be assigned to other perceived benefits (marketing construction quality etc)

bull the hurdle rate for energy retrofit investments using actual audit data and permitted renovation work

Estimating Office and Residential Building Energy Retrofit Hurdle Rates and Risk Arbitrage in Energy Efficiency Investments

Collecting data for continued Data Lab analysis Presenting Research findings

bull Interim research results ndash IPC Research Symposium (October)bull Greenbuild Session (November)bull RERI Research Conference (April)bull Final research results ndash Better Buildings Webinars Summit 2019 (TBA)

Work with DOE case study and data analysis opportunities abound

Next Steps

Paul Mathew

Lawrence Berkeley National Laboratorypamathewlblgov

Paulo Issler

University of California Berkeleypauloisslerberkeleyedu

Erin Hopkins

Virginia Techerinz1vtedu

Andrew White

RE Tech Advisorsawhiteretechadvisorscom

Contact Info

  • Slide Number 1
  • Business Case 20 New Research Around High Performing Buildings
  • Panelists
  • Energy and Default Risk in Commercial Mortgages
  • Paulo Issler
  • Acknowledgements
  • The link between energy and CRE mortgages
  • Approach Impact of energy on default rate
  • Default risk and source EUI (cont)
  • Default risk and source EUI
  • Default risk and source EUI (cont)
  • Default risk and source EUI (cont)
  • What are the impacts on specific loans
  • Case Studies
  • Denver Office ndash energy use and default risk
  • Denver Office ndash energy price and default risk
  • Case Studies ndash summary of risks impacts
  • Case Studies ndash business impact
  • Looking Ahead
  • Looking Ahead ndash our vision
  • Recommendations
  • Slide Number 22
  • Money Matters Exploring the Financial Impacts of Green Certifications in the Multifamily Rental SectorErin A Hopkins PhD CAPS LEED Green AssociateAssistant Professor of Property Management
  • Overview of Research
  • Certifications Represented in Sample
  • Properties by City
  • Descriptive
  • Descriptive
  • Findings
  • Financial Impacts of Green
  • Discussion
  • Discussion
  • Final Thoughts
  • Slide Number 34
  • Slide Number 35
  • Context Setting ndash DOE Research Effort
  • RERI Overview
  • Literature Review Objectives
  • Literature Review Results
  • Literature Review Results
  • Research Agenda Core Question
  • Proposal Reviews
  • Beyond Environmental Building Certification The Impact of Environmental Interventions on Commercial Real Estate Operations
  • The Dynamics of Energy Consumption in Commercial Real Estate
  • Effect of Energy Benchmarking and Disclosure on Office Building Marketability
  • Sustainable Insights and Public Real Estate Performance GRESB Effects in REIT Markets
  • Estimating Office and Residential Building Energy Retrofit Hurdle Rates and Risk Arbitrage in Energy Efficiency Investments
  • Next Steps
  • Contact Info
Y Term ~Bias Estimate EXP estimate Practical Interpretation increasedecrease Std Error DFDen t Ratio Probgt|t| Log(Vacancies amp Rent Loss rentable sf) Log(Total Rents Collected rentable sf) Log(Total Actual Collections rentable sf) Log(Management Fee rentable sf) Log(Total Utilities Rentable sf) Log(MampR rentable sf) Log(Subtotal Maintenance rentable sf) Log(Property Insurance rentable sf) Log(Total All Expenses Rentable sf) Log(NOI Rentable sf) Concessions rentable sf
Log(Vacancies amp Rent Loss rentable sf) Intercept 00893029328 10934118365 934 06116337119 1083785495375 01460072116 08841869197 Green Certified (1=yes 0=no)[Yes] -00318 01047 00991
Log(Vacancies amp Rent Loss rentable sf) Green Certified (1=yes 0=no)[Yes] -0031825668 09686754385 -313 009164153 139931853592 -03472843369 07288994904 Gym (1=yes 0=no)[Yes] 01060 00708 00767
Log(Vacancies amp Rent Loss rentable sf) Gym (1=yes 0=no)[Yes] 01007730854 11060256399 1060 01479591517 1412043780621 0681087207 0496931725 Pool (1=yes 0=no)[Yes] 01126 00089 00131
Log(Vacancies amp Rent Loss rentable sf) Pool (1=yes 0=no)[Yes] 01125884395 11191712315 1192 0113345701 506840641957 09933190097 032527325 Outdoor Common Area (1=yes 0=no)[Yes] 02673 -00803 -00764
Log(Vacancies amp Rent Loss rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 02672618233 13063824429 3064 01690835398 1429144230275 15806495624 01161688791 Walk Score 00102 00065 00066
Log(Vacancies amp Rent Loss rentable sf) Walk Score 00101642302 10102160615 102 00040763935 1219632686439 24934369735 00139912712 of Unfurnished Apartments -00003 -00009 -00008
Log(Vacancies amp Rent Loss rentable sf) of Unfurnished Apartments -0000250981 09997490505 -003 00006011213 142449410245 -04175214322 06769256723 Average Apt Unit Size -00003 -00002 -00002
Log(Vacancies amp Rent Loss rentable sf) Average Apt Unit Size -00002575258 09997425074 -003 00004990119 1315989429881 -05160713681 06066705884 Age -00026 00008 00015
Log(Vacancies amp Rent Loss rentable sf) Age -00026152008 09973882158 -026 00056263988 1391583522195 -04648090107 06427946925 Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00099 00043 00252
Log(Vacancies amp Rent Loss rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00099001013 10099492694 099 0100821633 1384002310718 00981942166 09219201454
Log(Total Rents Collected rentable sf) Intercept 30195696974 204824761253 194825 04164909532 1420770663705 72500246992 0
Log(Total Rents Collected rentable sf) Green Certified (1=yes 0=no)[Yes] 00996165255 11047471944 1047
Hopkins Erin Hopkins Erincant provide a confidencd interval for it
00590542761 1286416575023 16868638818 0094053065
Log(Total Rents Collected rentable sf) Gym (1=yes 0=no)[Yes] 00684081888 10708023088 708 0096210834 1330244953516 07110237581 04783143732
Log(Total Rents Collected rentable sf) Pool (1=yes 0=no)[Yes] 00088712036 10089106694 089 00916333982 708572236354 00968119025 09231490817
Log(Total Rents Collected rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00836597449 09197441505 -803 01126005752 1404546011941 -07429779537 04587359136
Log(Total Rents Collected rentable sf) Walk Score 0006479206 10065002414 065 0002794287 1413201347208 23187331419 00218436949
Log(Total Rents Collected rentable sf) of Unfurnished Apartments -00008678845 0999132492 -009 00003932429 1359586026848 -22069932213 00289920945
Log(Total Rents Collected rentable sf) Average Apt Unit Size -00002078918 09997921298 -002 00003300088 1382568544162 -06299582685 05297616269
Log(Total Rents Collected rentable sf) Age 00008364704 10008368204 008 00037477419 1387794745176 02231931757 08237133506
Log(Total Rents Collected rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00042999624 10043092206 043 0069466499 142786243042 00618998008 09507291881
Log(Total Actual Collections rentable sf) Intercept 30681072891 215011686418 205012 04070110501 1415072794017 75381424868 0
Log(Total Actual Collections rentable sf) Green Certified (1=yes 0=no)[Yes] 00944491888 10990533175 991 00578900924 1291837028308 16315259643 01052148631
Log(Total Actual Collections rentable sf) Gym (1=yes 0=no)[Yes] 00739127176 10767128233 767 0094247393 1335821297113 07842415071 04342868782
Log(Total Actual Collections rentable sf) Pool (1=yes 0=no)[Yes] 00130418887 10131273051 131 00885804441 654593026021 01472321442 08834013324
Log(Total Actual Collections rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00794248992 0923647384 -764 01101507414 1410305976559 -07210564195 04720684016
Log(Total Actual Collections rentable sf) Walk Score 00065530115 10065745295 066 00027272037 14047408887 24028316857 00175745575
Log(Total Actual Collections rentable sf) of Unfurnished Apartments -0000833078 09991672689 -008 00003850262 1365168778586 -21636916411 00322285543
Log(Total Actual Collections rentable sf) Average Apt Unit Size -00002169447 09997830788 -002 00003233576 1393662972101 -06709126047 05033865944
Log(Total Actual Collections rentable sf) Age 00015178151 10015189676 015 0003670824 1398532082324 04134807595 06798877496
Log(Total Actual Collections rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00249154485 10252284322 252 0067842812 1423468871242 03672525904 07139760316
Log(Management Fee rentable sf) Intercept -02128803278 08082528568 -1917 04254329778 585619088893 -0500385111 06186792644
Log(Management Fee rentable sf) Green Certified (1=yes 0=no)[Yes] 0019865513 10200641454 201 00593086525 1354977267554 03349513461 07381797603
Log(Management Fee rentable sf) Gym (1=yes 0=no)[Yes] -00082052627 09918283086 -082 00958032958 1386068833723 -00856469772 09318706455
Log(Management Fee rentable sf) Pool (1=yes 0=no)[Yes] 00174275629 10175803089 176 00771880661 202180965349 02257805358 08236388274
Log(Management Fee rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00153191452 10154370848 154 01103651216 1423896402644 01388042255 08898009734
Log(Management Fee rentable sf) Walk Score 00070459229 10070708039 071 00028008303 805559990921 25156550566 0013868745
Log(Management Fee rentable sf) of Unfurnished Apartments -0001358177 09986427449 -014 00003916726 1421224837061 -34676335479 00006950146
Log(Management Fee rentable sf) Average Apt Unit Size -00005130214 09994871101 -005 00003375961 1007585612206 -15196307445 0131735624
Log(Management Fee rentable sf) Age 00013613923 10013623194 014 00037151697 1277713043957 03664414822 07146417588
Log(Management Fee rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -00674463479 09347778721 -652 00657081953 1299283630266 -10264525997 03065854809
Log(Total Utilities Rentable sf) Intercept -03748562337 06873880949 -3126 04464274077 1402143832266 -08396801522 04025171642
Log(Total Utilities Rentable sf) Green Certified (1=yes 0=no)[Yes] 00873163337 10912418217 912 0064576715 1358457024729 13521334071 01785794114
Log(Total Utilities Rentable sf) Gym (1=yes 0=no)[Yes] 01175979311 11247917766 1248 01048349264 1384172144229 11217438221 02639135776
Log(Total Utilities Rentable sf) Pool (1=yes 0=no)[Yes] 00115680134 10116351816 116 00928512423 72633370166 01245865221 09011950626
Log(Total Utilities Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00222539972 10225034645 225 01216524447 1425571484619 01829309493 0855112103
Log(Total Utilities Rentable sf) Walk Score 00068649233 10068885409 069 00029812807 1396033046894 23026759291 00227754146
Log(Total Utilities Rentable sf) of Unfurnished Apartments -00006773222 09993229071 -007 00004273761 1401067188346 -15848386198 01152575495
Log(Total Utilities Rentable sf) Average Apt Unit Size -00003442022 0999655857 -003 00003581401 1425120147852 -09610825805 03381384619
Log(Total Utilities Rentable sf) Age 00048795122 10048914364 049 00040600929 1425855030198 12018227897 02314244716
Log(Total Utilities Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -01198355423 08870663096 -1129 00742421382 1413320388001 -16141176043 01087323819
Log(MampR rentable sf) Intercept -09030689887 04053238148 -5947 0437858541 1384008312652 -20624674504 00410332652
Log(MampR rentable sf) Green Certified (1=yes 0=no)[Yes] 00937424436 10982768413 983 00639155521 1376081716673 14666609392 01447499128
Log(MampR rentable sf) Gym (1=yes 0=no)[Yes] 00037664885 10037735907 038 01036113865 1396450691334 00363520715 09710535435
Log(MampR rentable sf) Pool (1=yes 0=no)[Yes] 01319613595 11410642271 1411 00887446725 719561267791 14869778183 0141389644
Log(MampR rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00521515872 09491849716 -508 01197720975 1428478988157 -04354235112 06639122497
Log(MampR rentable sf) Walk Score 00110131704 10110740386 111 00029197236 1385662208531 37719907631 00002391344
Log(MampR rentable sf) of Unfurnished Apartments -00008849955 09991153959 -009 00004219429 1410140957414 -20974297602 0037740228
Log(MampR rentable sf) Average Apt Unit Size 00000594506 10000594524 001 0000353075 1429981472006 01683796031 08665225748
Log(MampR rentable sf) Age 0007624822 1007653965 077 00039990018 142990029884 19066812998 00585678315
Log(MampR rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00598131349 10616381449 616 00727173027 1406732379184 08225433659 04121598071
Log(Subtotal Maintenance rentable sf) Intercept -07997344997 04494482769 -5506 0489167182 1380935604874 -16348899298 01043496414
Log(Subtotal Maintenance rentable sf) Green Certified (1=yes 0=no)[Yes] 01180969773 11253532398 1254 00707986514 1348907221481 16680681771 00976219515
Log(Subtotal Maintenance rentable sf) Gym (1=yes 0=no)[Yes] 00409351965 10417845921 418 01148796072 1378640116803 03563312718 07221372278
Log(Subtotal Maintenance rentable sf) Pool (1=yes 0=no)[Yes] 01515780559 11636691295 1637 0100780712 617547240206 15040383505 01376688864
Log(Subtotal Maintenance rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -0078076377 09248937833 -751 01331885868 1426567369893 -05862092154 05586613077
Log(Subtotal Maintenance rentable sf) Walk Score 0011889233 10119601909 120 00032614069 1377504918879 36454307183 00003773801
Log(Subtotal Maintenance rentable sf) of Unfurnished Apartments -00008153416 09991849907 -008 00004682078 1398534995511 -17414095506 00838107083
Log(Subtotal Maintenance rentable sf) Average Apt Unit Size 00005083484 10005084776 005 00003930253 1428434249161 12934242295 01979520949
Log(Subtotal Maintenance rentable sf) Age 00104106727 10104650523 105 00044515054 1428449267664 23386858733 00207383998
Log(Subtotal Maintenance rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 02440298206 12763823925 2764 0081177414 1402563601749 30061295196 00031359748
Log(Property Insurance rentable sf) Intercept -08916874806 04099633635 -5900 04516384713 1429624291993 -19743390727 00502702101
Log(Property Insurance rentable sf) Green Certified (1=yes 0=no)[Yes] 01239058141 11319092561 1319 0062692592 1281678143933 19764027959 00502564371
Log(Property Insurance rentable sf) Gym (1=yes 0=no)[Yes] -0003522638 09964835593 -035 01024969537 1314939748594 -0034368221 09726356404
Log(Property Insurance rentable sf) Pool (1=yes 0=no)[Yes] 00227423743 10230029538 230 01040308572 1125700947624 02186118131 08273482928
Log(Property Insurance rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00155809876 10157030041 157 01206677853 1368483458399 01291230096 08974498986
Log(Property Insurance rentable sf) Walk Score 00072977866 10073244804 073 00030353828 1428602075435 24042392705 00174877086
Log(Property Insurance rentable sf) of Unfurnished Apartments -00010061941 09989943119 -010 0000420017 1337858380697 -23956034086 00179774093
Log(Property Insurance rentable sf) Average Apt Unit Size -00006330482 09993671521 -006 00003514502 1338864329416 -18012458048 0073914725
Log(Property Insurance rentable sf) Age 00009661099 10009665767 010 00039921418 1338497494964 02420028921 08091483095
Log(Property Insurance rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -00520208103 09493091112 -507 00749301111 1411273861679 -06942577501 04886618561
Log(Total All Expenses Rentable sf) Intercept 17410862845 57035357214 47035 03946731547 141889623796 44114636723 00000201648
Log(Total All Expenses Rentable sf) Green Certified (1=yes 0=no)[Yes] 01231722438 11310792255 1311 00565275641 1341244163534 21789766772 00310802733
Log(Total All Expenses Rentable sf) Gym (1=yes 0=no)[Yes] 00096244971 10096709615 097 00919378962 1370603130567 01046847658 09167789899
Log(Total All Expenses Rentable sf) Pool (1=yes 0=no)[Yes] 01610294116 11747195186 1747 00846545666 801516751987 19021940341 00607378863
Log(Total All Expenses Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00361842114 09644626121 -355 01071504659 1418739239709 -03376953252 07360919324
Log(Total All Expenses Rentable sf) Walk Score 00087371658 10087754463 088 00026426023 1411809488418 33062734678 00011989895
Log(Total All Expenses Rentable sf) of Unfurnished Apartments -00008720665 09991283137 -009 00003752966 1389800988186 -23236728617 00215934791
Log(Total All Expenses Rentable sf) Average Apt Unit Size -0000155413 0999844599 -002 00003145108 1409449329598 -0494142052 06219751067
Log(Total All Expenses Rentable sf) Age 00015666155 10015678433 016 00035695206 1412387206124 04388868073 06614142124
Log(Total All Expenses Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00157918953 10159172462 159 00657593447 1424551160559 02401467861 08105616925
Log(NOI Rentable sf) Intercept 27416093787 155119295878 145119 049686036 1426328429735 55178669889 0000000157
Log(NOI Rentable sf) Green Certified (1=yes 0=no)[Yes] 00932241108 10977077159 977 00701671113 1292740226257 13286012361 01863200879
Log(NOI Rentable sf) Gym (1=yes 0=no)[Yes] 0111280688 11177085902 1177 0114413579 13320261997 09726178396 03325061802
Log(NOI Rentable sf) Pool (1=yes 0=no)[Yes] -00608871507 0940929417 -591 01107002034 838263437204 -05500184174 05837693269
Log(NOI Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -01393113526 08699571229 -1300 01340931949 1397855428856 -10389144106 03006382455
Log(NOI Rentable sf) Walk Score 00045000262 10045101666 045 0003337636 1423581725818 13482675372 01797136327
Log(NOI Rentable sf) of Unfurnished Apartments -00007116645 09992885887 -007 00004679272 1358400867851 -15208872073 01306124688
Log(NOI Rentable sf) Average Apt Unit Size -00001937801 09998062387 -002 00003921685 1372175013367 -04941245389 06220083144
Log(NOI Rentable sf) Age 00034607088 1003466704 035 00044548378 1376438770548 07768428318 04385844885
Log(NOI Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00488697769 10500835966 501 00828565286 1429949688826 05898120243 0556247504
Concessions rentable sf Intercept 0091580439 10959049266 959 12772069558 1418541020247 00717036801 09429387231
Concessions rentable sf Green Certified (1=yes 0=no)[Yes] 01110697527 11174728508 1175 01814813765 1293641668833 06120173584 05416004511
Concessions rentable sf Gym (1=yes 0=no)[Yes] -05094051331 06008529 -3991 02955403985 1336296409402 -17236395961 00870857294
Concessions rentable sf Pool (1=yes 0=no)[Yes] -00886152984 09151975838 -848 02791864929 69298361986 -03174053928 07518903943
Concessions rentable sf Outdoor Common Area (1=yes 0=no)[Yes] 04576291372 15803228114 5803 03455726285 1408379747117 13242632646 01875606951
Concessions rentable sf Walk Score 00120688741 10121419968 121 00085630896 1409791646097 14094064916 01609170757
Concessions rentable sf of Unfurnished Apartments -00007045588 09992956894 -007 00012075862 1364744404696 -05834438741 05605574922
Concessions rentable sf Average Apt Unit Size -00003193903 09996806607 -003 00010135961 1389703034326 -03151061148 07531537379
Concessions rentable sf Age 00130223218 10131074815 131 00115086772 139464867267 11315220311 02597773256
Concessions rentable sf Building Mix (0=multifamily 1 = mixed-use)[Mixed] -03719888249 06893619462 -3106 02129597676 1426034459287 -17467563435 00828326573
Y Term Practical Interpretation increasedecrease Probgt|t| Total Rents Collected Subtotal Maintenance Property Insurance Total Expenses
Log(Total Rents Collected rentable sf) Green Certified (1=yes 0=no)[Yes] 1047
Hopkins Erin Hopkins Erincant provide a confidencd interval for it
009 130837635934 13311489362 01847683215 67633617021
Log(Subtotal Maintenance rentable sf) Green Certified (1=yes 0=no)[Yes] 1254 010 267662568114 08839769656 0489370035 133484365708
Log(Property Insurance rentable sf) Green Certified (1=yes 0=no)[Yes] 1319 005 44887430941 07758149459 02417429373 41261056301
Log(Total All Expenses Rentable sf) Green Certified (1=yes 0=no)[Yes] 1311 003 103066299601 12390720963 00474343371 5067818194
206907297628 2385711159 02072356932 9194606526
318766961061 22633758919 04452208547 128154919371
92461669878 09545425866 01280485733 38832017239
143925847783 15966970999 02187893202 54018796992
176714125561 02006495648 02876780533 58992020575
232897515382 0726170332 00787094673 69517596041
Non-green sf average Financial Green Impact sf Financial green impact differencesf Green impactapt Green impactproperty 51780910259 05203453537 00494304264 22609306646
178353784788 17547710996 02048626598 95961490345
Total Rents Collected sf 1047 2356 2603 $ 247 $ 2189 $ 551683 113769814112 12206875575 03432049607 118156743193
Subtotal Maintenance sf 1254 160 180 $ 020 $ 178 $ 44843 301239240258 10561596849 0204970258 110903994641
Property Insurance sf 1319 036 041 $ 005 $ 42 $ 10601 918584487 08376649832 00914663991 4146546939
Total Expenses sf 1311 852 963 $ 112 $ 990 $ 249535 265183769576 19294929362 03500602344 108447158033
226055903548 13557897255 03988791741 10971207244
334894587007 17970717884 05122599181 124640467569
5542518821 31394328066 04875650977 200668786372
112655732059 13445692884 02031297086 43995867235
129139526152 1168069688 00518980213 4651511283
Avg Apt Size Avg of Units 151098478261 13975 02004130435 51873478261
192155046737 21015937064 02616549091 8357602264
887 252 514840434082 52766375656 02375463267 174375582672
81421971535 06694487849 00899424521 2748686222
30246817244 21594341279 03308639536 97277207077
488523197409 27727612187 0646599696 130752346177
318750561687 38903340576 03852711795 142409683793
310384048163 43119745565 03335824966 138846874251
Green Certification Impacts 48578215663 0350218077 03095574205 23695139998
Dependent Variable Per Square Foot Per Apartment Per Property 192237574111 13374121765 02053242615 84027476689
Total Rents Collected $ 247 $ 2189 $ 551683 62979912788 05343191729 00816289996 45390243161
Subtotal Maintenance $ 020 $ 178 $ 44843 148378959661 14651715909 02004049722 80900580942
Property Insurance $ 005 $ 42 $ 10601 196798863889 11267176542 02499920663 90266351433
Total Expenses $ 112 $ 990 $ 249535 281508617823 09686995581 01118170881 119863342059
58584849751 0106864586 04187933949 44180073736
126756167712 1265684516 02796423029 87538414144
176550549412 24957340254 02343899179 88904473415
252421786235 28063734042 03142238564 133776179357
191875932907 13637043757 03440324697 987034902
159508092934 13109374847 02091697013 98967206196
342739845467 09614092295 03929892961 129755936769
192510355167 32804720611 01743191858 134560085596
257829360401 13666691797 01527100011 56329812754
358622391559 14251973427 03437553732 101098436889
217744157919 24046486586 01864745418 68711016642
222112557003 22022148788 07879755849 97807110765
202535763689 04548110217 10003436751 127886698915
155879815194 23816051158 04816227091 119033557201
11066078843 23413202706 06413902496 81812176347
151924709838 18873401649 05711000232 105403544539
163604010853 16052949068 02714509557 82030431823
133974400047 11018949984 03560839935 59096477943
133528448829 13647819036 02538331588 66159357367
187400008959 16889788117 030870974 115752907975
155246293804 18308314258 03852380906 116657595614
34082816218 05447090935 09838411173 13641308574
201220131342 11192465065 03188344246 93786154242
139108532616 13313944086 03887737775 69698295902
191656858207 15717927807 06002115982 119380046581
200921599083 12597596226 03267106334 82474085087
57536742874 00453219212 00300766262 10569757217
120548294116 11607892527 03275736725 74435143659
123188534664 1404028789 03510968138 78762080781
59543029729 0899713372 01652374748 28143456117
144215639215 19193238703 02899837711 67370054173
340046684831 19619729415 04325060698 120608464163
208244777176 28183367899 037 73104355304
234349752613 19432301154 0351134881 107484594815
136370903402 17029933791 01989576534 50899930579
149968383478 14209793679 02735642323 63813718869
81145819519 0920766851 00474564037 30674168785
226307446224 12529424404 02036192613 69235920453
132787305462 08047482453 01232346659 41808605432
251519090044 21798380428 0376480317 80396623551
492269138212 12196979039 02981674812 128316943664
107177195916 08016374211 0113808252 40618650625
128238528886 10751217142 01843492552 6476830365
57582611557 11908427448 0874334536 134004066235
43835651097 34822540694 03904989384 146763800425
205787355386 1429219053 02624404931 5321754079
463148430769 07709353846 06150738462 101617384615
377949548611 28670972222 08296944444 109743576389
360087564176 03501711352 18551055334 110041072447
18371979614 18232783153 07267294459 61184870906
678035276363 13443501226 10431616676 167533484248
56073359244 10138647576 01591318768 51440832304
189431314891 05101557395 03677787459 41010945328
383550342095 23244425576 04086557393 98151764619
115544349685 03310482653 037 40344851625
7552318246 0955023726 01241945851 24368780848
133083101881 19451300341 00938801919 48731378614
122308363087 13760780005 01439989014 45100624828
84908269322 10857071617 01155797799 36082570734
263116048067 10733627163 041902582 60372732395
76183752731 09621126305 01069925907 26170373239
172494454001 11781600332 03919686814 59016193131
342076422068 22741368431 03165622465 73557085549
215534567901 1485497076 02210396361 49118778428
314593058927 23798916958 02751353803 121998559501
586535191691 21029046354 02109026171 91979074439
138093310078 14595490221 02142269839 44286283792
227203645682 04584630891 05737147639 93344680527
572754455737 17713614269 01642228739 92545561671
60603870458 04541110154 01180884676 15902125521
358781017266 33847643857 06854022643 139200146946
342079216629 24477703832 0463059603 67166143833
651201231187 51019950176 12529595849 222094150831
369798669702 21700816928 0444474205 101410502507
421838575952 28823013788 05443272608 151399739597
626095189209 20826275416 04947814184 184651096472
214882899762 25034709712 06359683889 109534721722
274037120739 26718517094 037 67504928595
252667703737 25588590114 05379535858 109041874345
59253832495 01099622961 04620367393 19262874847
150862851538 18053109961 07398729558 71488607075
111196959019 00928417366 037 09427894164
667360269858 07921160191 02989609494 104670639024
2356 160 036 852
Log(Vacancies amp Rent Loss rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified -00318 00916 -00313 07289
Fitness Center 01008 01480 01060 04969
Pool 01126 01133 01192 03253
Outdoor Common Area 02673 01691 03064 01162
Walk Score 00102 00041 00102 00140
of Unfurnished Apartments -00003 00006 -00003 06769
Average Apt Unit Size -00003 00005 -00003 06067
Age -00026 00056 -00026 06428
Building Mix 00099 01008 00099 09219
Note R2 = 645
Log(Total Rents Collected rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00996 00591 01047 00941
Fitness Center 00684 00962 00708 04783
Pool 00089 00916 00089 09231
Outdoor Common Area -00837 01126 -00803 04587
Walk Score 00065 00028 00065 00218
of Unfurnished Apartments -00009 00004 -00009 00290
Average Apt Unit Size -00002 00003 -00002 05298
Age 00008 00037 00008 08237
Building Mix 00043 00695 00043 09507
Note R2 = 3318
Log(Total Actual Collections rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00944 00579 00991 01052
Fitness Center 00739 00942 00767 04343
Pool 00130 00886 00131 08834
Outdoor Common Area -00794 01102 -00764 04721
Walk Score 00066 00027 00066 00176
of Unfurnished Apartments -00008 00004 -00008 00322
Average Apt Unit Size -00002 00003 -00002 05034
Age 00015 00037 00015 06799
Building Mix 00249 00678 00252 07140
Note R2 = 3219
Log(Management Fee rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00199 00593 00201 07382
Fitness Center -00082 00958 -00082 09319
Pool 00174 00772 00176 08236
Outdoor Common Area 00153 01104 00154 08898
Walk Score 00070 00028 00071 00139
of Unfurnished Apartments -00014 00004 -00014 00007
Average Apt Unit Size -00005 00003 -00005 01317
Age 00014 00037 00014 07146
Building Mix -00674 00657 -00652 03066
Note R2 = 1697
Log(Total Utilities Rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00873 00646 00912 01786
Fitness Center 01176 01048 01248 02639
Pool 00116 00929 00116 09012
Outdoor Common Area 00223 01217 00225 08551
Walk Score 00069 00030 00069 00228
of Unfurnished Apartments -00007 00004 -00007 01153
Average Apt Unit Size -00003 00004 -00003 03381
Age 00049 00041 00049 02314
Building Mix -01198 00742 -01129 01087
Note R2 = 2171
Log(MampR rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00937 00639 00983 01447
Fitness Center 00038 01036 00038 09711
Pool 01320 00887 01411 01414
Outdoor Common Area -00522 01198 -00508 06639
Walk Score 00110 00029 00111 00002
of Unfurnished Apartments -00009 00004 -00009 00377
Average Apt Unit Size 00001 00004 00001 08665
Age 00076 00040 00077 00586
Building Mix 00598 00727 00616 04122
Note R2 = 2620
Log(Subtotal Maintenance rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 01181 00708 01254 00976
Fitness Center 00409 01149 00418 07221
Pool 01516 01008 01637 01377
Outdoor Common Area -00781 01332 -00751 05587
Walk Score 00119 00033 00120 00004
of Unfurnished Apartments -00008 00005 -00008 00838
Average Apt Unit Size 00005 00004 00005 01980
Age 00104 00045 00105 00207
Building Mix 02440 00812 02764 00031
Note R2 = 3218
Log(Property Insurance rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 01239 00627 01319 00503
Fitness Center -00035 01025 -00035 09726
Pool 00227 01040 00230 08273
Outdoor Common Area 00156 01207 00157 08974
Walk Score 00073 00030 00073 00175
of Unfurnished Apartments -00010 00004 -00010 00180
Average Apt Unit Size -00006 00004 -00006 00739
Age 00010 00040 00010 08091
Building Mix -00520 00749 -00507 04887
Note R2 = 3902
Log(Total All Expenses Rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 01232 00565 01311 00311
Fitness Center 00096 00919 00097 09168
Pool 01610 00847 01747 00607
Outdoor Common Area -00362 01072 -00355 07361
Walk Score 00087 00026 00088 00012
of Unfurnished Apartments -00009 00004 -00009 00216
Average Apt Unit Size -00002 00003 -00002 06220
Age 00016 00036 00016 06614
Building Mix 00158 00658 00159 08106
Note R2 = 2943
Log(NOI Rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00932 00702 00977 01863
Fitness Center 01113 01144 01177 03325
Pool -00609 01107 -00591 05838
Outdoor Common Area -01393 01341 -01300 03006
Walk Score 00045 00033 00045 01797
of Unfurnished Apartments -00007 00005 -00007 01306
Average Apt Unit Size -00002 00004 -00002 06220
Age 00035 00045 00035 04386
Building Mix 00489 00829 00501 05562
Note R2 = 3669
Concessions rentable sf
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 01111 01815 01175 05416
Fitness Center -05094 02955 -03991 00871
Pool -00886 02792 -00848 07519
Outdoor Common Area 04576 03456 05803 01876
Walk Score 00121 00086 00121 01609
of Unfurnished Apartments -00007 00012 -00007 05606
Average Apt Unit Size -00003 00010 -00003 07532
Age 00130 00115 00131 02598
Building Mix -03720 02130 -03106 00828
Note R2 = 2402
Y Term ~Bias Estimate EXP estimate Practical Interpretation increasedecrease Std Error DFDen t Ratio Probgt|t| Estimate Std Error Practical Interpretation Significance
Log(Vacancies amp Rent Loss rentable sf) Intercept 00893029328 10934118365 934 06116337119 1083785495375 01460072116 08841869197 Green Cert
Log(Vacancies amp Rent Loss rentable sf) Green Certified (1=yes 0=no)[Yes] -0031825668 09686754385 -313 009164153 139931853592 -03472843369 07288994904 Gym
Log(Vacancies amp Rent Loss rentable sf) Gym (1=yes 0=no)[Yes] 01007730854 11060256399 1060 01479591517 1412043780621 0681087207 0496931725
Log(Vacancies amp Rent Loss rentable sf) Pool (1=yes 0=no)[Yes] 01125884395 11191712315 1192 0113345701 506840641957 09933190097 032527325
Log(Vacancies amp Rent Loss rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 02672618233 13063824429 3064 01690835398 1429144230275 15806495624 01161688791
Log(Vacancies amp Rent Loss rentable sf) Walk Score 00101642302 10102160615 102 00040763935 1219632686439 24934369735 00139912712
Log(Vacancies amp Rent Loss rentable sf) of Unfurnished Apartments -0000250981 09997490505 -003 00006011213 142449410245 -04175214322 06769256723
Log(Vacancies amp Rent Loss rentable sf) Average Apt Unit Size -00002575258 09997425074 -003 00004990119 1315989429881 -05160713681 06066705884
Log(Vacancies amp Rent Loss rentable sf) Age -00026152008 09973882158 -026 00056263988 1391583522195 -04648090107 06427946925
Log(Vacancies amp Rent Loss rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00099001013 10099492694 099 0100821633 1384002310718 00981942166 09219201454
Log(Total Rents Collected rentable sf) Intercept 30195696974 204824761253 194825 04164909532 1420770663705 72500246992 0
Log(Total Rents Collected rentable sf) Green Certified (1=yes 0=no)[Yes] 00996165255 11047471944 1047
Hopkins Erin Hopkins Erincant provide a confidencd interval for it
00590542761 1286416575023 16868638818 0094053065 0099617 00590542761 1047
Log(Total Rents Collected rentable sf) Gym (1=yes 0=no)[Yes] 00684081888 10708023088 708 0096210834 1330244953516 07110237581 04783143732
Log(Total Rents Collected rentable sf) Pool (1=yes 0=no)[Yes] 00088712036 10089106694 089 00916333982 708572236354 00968119025 09231490817
Log(Total Rents Collected rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00836597449 09197441505 -803 01126005752 1404546011941 -07429779537 04587359136
Log(Total Rents Collected rentable sf) Walk Score 0006479206 10065002414 065 0002794287 1413201347208 23187331419 00218436949
Log(Total Rents Collected rentable sf) of Unfurnished Apartments -00008678845 0999132492 -009 00003932429 1359586026848 -22069932213 00289920945 variance components to talk about how much of the total error that is attribuatle to city
Log(Total Rents Collected rentable sf) Average Apt Unit Size -00002078918 09997921298 -002 00003300088 1382568544162 -06299582685 05297616269
Log(Total Rents Collected rentable sf) Age 00008364704 10008368204 008 00037477419 1387794745176 02231931757 08237133506
Log(Total Rents Collected rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00042999624 10043092206 043 0069466499 142786243042 00618998008 09507291881
Log(Total Actual Collections rentable sf) Intercept 30681072891 215011686418 205012 04070110501 1415072794017 75381424868 0
Log(Total Actual Collections rentable sf) Green Certified (1=yes 0=no)[Yes] 00944491888 10990533175 991 00578900924 1291837028308 16315259643 01052148631
Log(Total Actual Collections rentable sf) Gym (1=yes 0=no)[Yes] 00739127176 10767128233 767 0094247393 1335821297113 07842415071 04342868782
Log(Total Actual Collections rentable sf) Pool (1=yes 0=no)[Yes] 00130418887 10131273051 131 00885804441 654593026021 01472321442 08834013324
Log(Total Actual Collections rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00794248992 0923647384 -764 01101507414 1410305976559 -07210564195 04720684016
Log(Total Actual Collections rentable sf) Walk Score 00065530115 10065745295 066 00027272037 14047408887 24028316857 00175745575
Log(Total Actual Collections rentable sf) of Unfurnished Apartments -0000833078 09991672689 -008 00003850262 1365168778586 -21636916411 00322285543
Log(Total Actual Collections rentable sf) Average Apt Unit Size -00002169447 09997830788 -002 00003233576 1393662972101 -06709126047 05033865944
Log(Total Actual Collections rentable sf) Age 00015178151 10015189676 015 0003670824 1398532082324 04134807595 06798877496
Log(Total Actual Collections rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00249154485 10252284322 252 0067842812 1423468871242 03672525904 07139760316
Log(Management Fee rentable sf) Intercept -02128803278 08082528568 -1917 04254329778 585619088893 -0500385111 06186792644
Log(Management Fee rentable sf) Green Certified (1=yes 0=no)[Yes] 0019865513 10200641454 201 00593086525 1354977267554 03349513461 07381797603
Log(Management Fee rentable sf) Gym (1=yes 0=no)[Yes] -00082052627 09918283086 -082 00958032958 1386068833723 -00856469772 09318706455
Log(Management Fee rentable sf) Pool (1=yes 0=no)[Yes] 00174275629 10175803089 176 00771880661 202180965349 02257805358 08236388274
Log(Management Fee rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00153191452 10154370848 154 01103651216 1423896402644 01388042255 08898009734
Log(Management Fee rentable sf) Walk Score 00070459229 10070708039 071 00028008303 805559990921 25156550566 0013868745
Log(Management Fee rentable sf) of Unfurnished Apartments -0001358177 09986427449 -014 00003916726 1421224837061 -34676335479 00006950146
Log(Management Fee rentable sf) Average Apt Unit Size -00005130214 09994871101 -005 00003375961 1007585612206 -15196307445 0131735624
Log(Management Fee rentable sf) Age 00013613923 10013623194 014 00037151697 1277713043957 03664414822 07146417588
Log(Management Fee rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -00674463479 09347778721 -652 00657081953 1299283630266 -10264525997 03065854809
Log(Total Utilities Rentable sf) Intercept -03748562337 06873880949 -3126 04464274077 1402143832266 -08396801522 04025171642
Log(Total Utilities Rentable sf) Green Certified (1=yes 0=no)[Yes] 00873163337 10912418217 912 0064576715 1358457024729 13521334071 01785794114
Log(Total Utilities Rentable sf) Gym (1=yes 0=no)[Yes] 01175979311 11247917766 1248 01048349264 1384172144229 11217438221 02639135776
Log(Total Utilities Rentable sf) Pool (1=yes 0=no)[Yes] 00115680134 10116351816 116 00928512423 72633370166 01245865221 09011950626
Log(Total Utilities Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00222539972 10225034645 225 01216524447 1425571484619 01829309493 0855112103
Log(Total Utilities Rentable sf) Walk Score 00068649233 10068885409 069 00029812807 1396033046894 23026759291 00227754146
Log(Total Utilities Rentable sf) of Unfurnished Apartments -00006773222 09993229071 -007 00004273761 1401067188346 -15848386198 01152575495
Log(Total Utilities Rentable sf) Average Apt Unit Size -00003442022 0999655857 -003 00003581401 1425120147852 -09610825805 03381384619
Log(Total Utilities Rentable sf) Age 00048795122 10048914364 049 00040600929 1425855030198 12018227897 02314244716
Log(Total Utilities Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -01198355423 08870663096 -1129 00742421382 1413320388001 -16141176043 01087323819
Log(MampR rentable sf) Intercept -09030689887 04053238148 -5947 0437858541 1384008312652 -20624674504 00410332652
Log(MampR rentable sf) Green Certified (1=yes 0=no)[Yes] 00937424436 10982768413 983 00639155521 1376081716673 14666609392 01447499128
Log(MampR rentable sf) Gym (1=yes 0=no)[Yes] 00037664885 10037735907 038 01036113865 1396450691334 00363520715 09710535435
Log(MampR rentable sf) Pool (1=yes 0=no)[Yes] 01319613595 11410642271 1411 00887446725 719561267791 14869778183 0141389644
Log(MampR rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00521515872 09491849716 -508 01197720975 1428478988157 -04354235112 06639122497
Log(MampR rentable sf) Walk Score 00110131704 10110740386 111 00029197236 1385662208531 37719907631 00002391344
Log(MampR rentable sf) of Unfurnished Apartments -00008849955 09991153959 -009 00004219429 1410140957414 -20974297602 0037740228
Log(MampR rentable sf) Average Apt Unit Size 00000594506 10000594524 001 0000353075 1429981472006 01683796031 08665225748
Log(MampR rentable sf) Age 0007624822 1007653965 077 00039990018 142990029884 19066812998 00585678315
Log(MampR rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00598131349 10616381449 616 00727173027 1406732379184 08225433659 04121598071
Log(Subtotal Maintenance rentable sf) Intercept -07997344997 04494482769 -5506 0489167182 1380935604874 -16348899298 01043496414
Log(Subtotal Maintenance rentable sf) Green Certified (1=yes 0=no)[Yes] 01180969773 11253532398 1254 00707986514 1348907221481 16680681771 00976219515
Log(Subtotal Maintenance rentable sf) Gym (1=yes 0=no)[Yes] 00409351965 10417845921 418 01148796072 1378640116803 03563312718 07221372278
Log(Subtotal Maintenance rentable sf) Pool (1=yes 0=no)[Yes] 01515780559 11636691295 1637 0100780712 617547240206 15040383505 01376688864
Log(Subtotal Maintenance rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -0078076377 09248937833 -751 01331885868 1426567369893 -05862092154 05586613077
Log(Subtotal Maintenance rentable sf) Walk Score 0011889233 10119601909 120 00032614069 1377504918879 36454307183 00003773801
Log(Subtotal Maintenance rentable sf) of Unfurnished Apartments -00008153416 09991849907 -008 00004682078 1398534995511 -17414095506 00838107083
Log(Subtotal Maintenance rentable sf) Average Apt Unit Size 00005083484 10005084776 005 00003930253 1428434249161 12934242295 01979520949
Log(Subtotal Maintenance rentable sf) Age 00104106727 10104650523 105 00044515054 1428449267664 23386858733 00207383998
Log(Subtotal Maintenance rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 02440298206 12763823925 2764 0081177414 1402563601749 30061295196 00031359748
Log(Property Insurance rentable sf) Intercept -08916874806 04099633635 -5900 04516384713 1429624291993 -19743390727 00502702101
Log(Property Insurance rentable sf) Green Certified (1=yes 0=no)[Yes] 01239058141 11319092561 1319 0062692592 1281678143933 19764027959 00502564371
Log(Property Insurance rentable sf) Gym (1=yes 0=no)[Yes] -0003522638 09964835593 -035 01024969537 1314939748594 -0034368221 09726356404
Log(Property Insurance rentable sf) Pool (1=yes 0=no)[Yes] 00227423743 10230029538 230 01040308572 1125700947624 02186118131 08273482928
Log(Property Insurance rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00155809876 10157030041 157 01206677853 1368483458399 01291230096 08974498986
Log(Property Insurance rentable sf) Walk Score 00072977866 10073244804 073 00030353828 1428602075435 24042392705 00174877086
Log(Property Insurance rentable sf) of Unfurnished Apartments -00010061941 09989943119 -010 0000420017 1337858380697 -23956034086 00179774093
Log(Property Insurance rentable sf) Average Apt Unit Size -00006330482 09993671521 -006 00003514502 1338864329416 -18012458048 0073914725
Log(Property Insurance rentable sf) Age 00009661099 10009665767 010 00039921418 1338497494964 02420028921 08091483095
Log(Property Insurance rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -00520208103 09493091112 -507 00749301111 1411273861679 -06942577501 04886618561
Log(Total All Expenses Rentable sf) Intercept 17410862845 57035357214 47035 03946731547 141889623796 44114636723 00000201648
Log(Total All Expenses Rentable sf) Green Certified (1=yes 0=no)[Yes] 01231722438 11310792255 1311 00565275641 1341244163534 21789766772 00310802733
Log(Total All Expenses Rentable sf) Gym (1=yes 0=no)[Yes] 00096244971 10096709615 097 00919378962 1370603130567 01046847658 09167789899
Log(Total All Expenses Rentable sf) Pool (1=yes 0=no)[Yes] 01610294116 11747195186 1747 00846545666 801516751987 19021940341 00607378863
Log(Total All Expenses Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00361842114 09644626121 -355 01071504659 1418739239709 -03376953252 07360919324
Log(Total All Expenses Rentable sf) Walk Score 00087371658 10087754463 088 00026426023 1411809488418 33062734678 00011989895
Log(Total All Expenses Rentable sf) of Unfurnished Apartments -00008720665 09991283137 -009 00003752966 1389800988186 -23236728617 00215934791
Log(Total All Expenses Rentable sf) Average Apt Unit Size -0000155413 0999844599 -002 00003145108 1409449329598 -0494142052 06219751067
Log(Total All Expenses Rentable sf) Age 00015666155 10015678433 016 00035695206 1412387206124 04388868073 06614142124
Log(Total All Expenses Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00157918953 10159172462 159 00657593447 1424551160559 02401467861 08105616925
Log(NOI Rentable sf) Intercept 27416093787 155119295878 145119 049686036 1426328429735 55178669889 0000000157
Log(NOI Rentable sf) Green Certified (1=yes 0=no)[Yes] 00932241108 10977077159 977 00701671113 1292740226257 13286012361 01863200879
Log(NOI Rentable sf) Gym (1=yes 0=no)[Yes] 0111280688 11177085902 1177 0114413579 13320261997 09726178396 03325061802
Log(NOI Rentable sf) Pool (1=yes 0=no)[Yes] -00608871507 0940929417 -591 01107002034 838263437204 -05500184174 05837693269
Log(NOI Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -01393113526 08699571229 -1300 01340931949 1397855428856 -10389144106 03006382455
Log(NOI Rentable sf) Walk Score 00045000262 10045101666 045 0003337636 1423581725818 13482675372 01797136327
Log(NOI Rentable sf) of Unfurnished Apartments -00007116645 09992885887 -007 00004679272 1358400867851 -15208872073 01306124688
Log(NOI Rentable sf) Average Apt Unit Size -00001937801 09998062387 -002 00003921685 1372175013367 -04941245389 06220083144
Log(NOI Rentable sf) Age 00034607088 1003466704 035 00044548378 1376438770548 07768428318 04385844885
Log(NOI Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00488697769 10500835966 501 00828565286 1429949688826 05898120243 0556247504
Concessions rentable sf Intercept 0091580439 10959049266 959 12772069558 1418541020247 00717036801 09429387231
Concessions rentable sf Green Certified (1=yes 0=no)[Yes] 01110697527 11174728508 1175 01814813765 1293641668833 06120173584 05416004511
Concessions rentable sf Gym (1=yes 0=no)[Yes] -05094051331 06008529 -3991 02955403985 1336296409402 -17236395961 00870857294
Concessions rentable sf Pool (1=yes 0=no)[Yes] -00886152984 09151975838 -848 02791864929 69298361986 -03174053928 07518903943
Concessions rentable sf Outdoor Common Area (1=yes 0=no)[Yes] 04576291372 15803228114 5803 03455726285 1408379747117 13242632646 01875606951
Concessions rentable sf Walk Score 00120688741 10121419968 121 00085630896 1409791646097 14094064916 01609170757
Concessions rentable sf of Unfurnished Apartments -00007045588 09992956894 -007 00012075862 1364744404696 -05834438741 05605574922
Concessions rentable sf Average Apt Unit Size -00003193903 09996806607 -003 00010135961 1389703034326 -03151061148 07531537379
Concessions rentable sf Age 00130223218 10131074815 131 00115086772 139464867267 11315220311 02597773256
Concessions rentable sf Building Mix (0=multifamily 1 = mixed-use)[Mixed] -03719888249 06893619462 -3106 02129597676 1426034459287 -17467563435 00828326573
Page 24: AUGUST 21- 23, 2018 • CLEVELAND, OHIO€¦ · Business Case 2.0: New Research Around High Performing Buildings Thursday 23 rd, 2018 10:30am – 12:00pm

bull Sample 153 properties from 2 of National Multifamily Housing Councilrsquos 2016 50 Largest Apartment Managers

bull Green-certified 2288 of properties (35 properties)bull Methodology Multiple Regression Analysisbull Controls Location Fitness Center Pool Outdoor Common Area Walk

Score of Unfurnished Apartments Average Apartment Unit Size Age Building Mix

bull Limitations Building class not directly taken into account

Overview of Research

Certifications Represented in Sample

Austin Energy Green Buildingreg (AEGB)

Rating System(3)

ENERGY STARreg

(1)

Florida Green Building Coalition

(FGBC)(1)

GreenPoint Rated(4)

LEEDreg

(16)

National Green Building Standardtrade

(NGBS)(11)

Properties by City

2

4

2 2 21 1

3

1 1 12 2

1 1 1

6

1 1

8

11

4

6

14

3

1

19

3

1 1

7

43

2

9

18

2 2

0

2

4

6

8

10

12

14

16

18

20

Summary Statistics of City Datan=153

Summary Satistics of City Data Green Bldgs Summary Satistics of City Data Non-Green Comparables

Descriptive

97

71

100

31

89

69

93

24

0

20

40

60

80

100

120

Fitness Center Pool Outdoor Common Area Mixed-Use Property

Summary Statistics of Green vs Non-Green Propertiesn = 153

Green Non-Green

Descriptive

73228

866

2011

74

259

894

2003

0

500

1000

1500

2000

2500

Walk Score Average Number of Units Average Apt Unit Size (sf) Age

Summary Statistics of Green vs Non-Green Properties

n = 153

Green Non-Green

Findings

Total Rents Collected1047

Total Maintenance1254

Property Insurance1319

Total Expenses1311

Higher rents and expenses

Financial Impacts of Green

Dependent Variable Per Square Foot Per Apartment Per PropertyTotal Rents Collected 247$ 2189$ 551683$ Subtotal Maintenance 020$ 178$ 44843$ Property Insurance 005$ 42$ 10601$ Total Expenses 112$ 990$ 249535$

Coefficients Standard Errors

Tables

Summary of Green Impacts

Summary Table

Discussion

bull Assume efficient operations will offset the higher rent

bull Philanthropic motivesbull Prestige motivesbull Green buildings tend to be newermore

likely to offer the more sought-after amenities and finishes

bull Tend to be in higher-income areaslikely have higher rents

Different motivations for paying higher rent may be in

play

Discussion

Higher Operating Expenses a Surprise

Does not align with much of the existing researchhellipbut no research on effects of green certification on total operating expenses within multifamily rental sector

Many of the certifications represented in this study focus on the design phase of the property vs the operations and maintenance phase

And although promotion of sustainability is on the rise in the multifamily housing sector staff may remain unfamiliar with the unique operations and maintenance of green

buildings

Final Thoughts

Apartment homes represent $13 trillion to the US economy and 5 million new rental households are expected by 2023 (National Multifamily Housing Council 2015)

Upfront capital constraints regulatory issues knowledge limitations and marketing concerns may diminish the attractiveness of multifamily rental green building

certification if not properly managed

Most studies focus on office sector andor strictly rents or property value

This study begins to look at the multifamily rental sector and offer a more comprehensive analysis

Further research is needed with larger datasets to understand effects of green certification on income statement components in the apartment industry as NOI

ultimately determines property market valueOptimism that this study can be the impetus for further research contributions on the

financial environmental and resident satisfaction impacts of green practices and certifications on the multifamily rental sector

Contact informationErin A Hopkinserinz1vtedu

Acknowledgementsbull Todd Feist Sustainability Program Manager at The Institute of

Real Estate Management (IREMreg) for his assistance with this research project

bull Yardi and IREMreg for the grant awarded to support this researchbull The two property management companies for sharing their data

BUILDING PERFORMANCE

UNLOCKINGVALUE

New DOE-driven Research Around High Performing Buildings

AUGUST 23 2018

ANDREW WHITEASSOCIATE MANAGERawhiteretechadvisorscom

2015-2016 bull Research design working group pilot study data lab

2017 bull Connect to Real Estate Research Institute (RERI) Literature review and gap analysis

2018 bull Research agenda request for proposals research project selection and execution

Context Setting ndash DOE Research EffortWhat are the impacts of energy efficiency and high-performance building

features on financial performance of commercial real estate

RERIrsquos mission is to encourage and reward research on real estate as an investment and as an asset class that is both academically rigorous and of value to the institutional real estate investment profession In addition RERI serves to provide a forum through which the real estate academic professional and regulatory communities can interact facilitating the exchange of insights amongst these stakeholders

RERI Overview

Sponsors

Build upon DOErsquos Review of Studies in the Market

bull Focus explicitly on peer-reviewed papers Gap analysis of existing research to

identifybull Questions that have already been

sufficiently provenbull Holes in existing body of research

Academic Inputbull Guidance on which studies to includebull Suggestions for how to conduct analysis

Literature Review Objectives

Literature Review Results

LEED

ENER

GY

ST

AR

labe

l

ENER

GY

ST

AR

sc

ore

Ener

gy u

se

BR

EEA

M

Ener

gy

Perf

orm

anc

e Cer

tific

ates

(U

K)

BO

MA

B

EST

Wal

kabi

lity

Non

-ene

rgy

gree

n fe

atur

es

Oth

er

Rent 20 18 1 2 2 2 1 1 1Rent concessions 1 1 1Sales price 9 11 1 1 1 1Assessed value 2 2Market value 1 2 1 2 1Occupancy 10 9 1Lease renewals 1 1 1Service charge 1Operating cost 2 3Energy cost 2 3Tenant satisfaction 1 1 1Sales time 1 1Default rate 2 1Capitalization rate 1 2 2 1Net operating income 1 1 1Loan to value ratio 1 1Debt service coverage ratio 1 1Worker productivity 1 1Other 5 4 1 4 2 2

There is considerable evidence that green building certifications correlate with increased economic value primarily via higher rents and sales prices

bull How do we move beyond certification to analyze performancebull Correlation vs Causation

bull What is driving added value Is it green features and efficiency the green labels themselves or other desirable features often included in certified buildings

Panel studies could help reduce some of the uncertainty and noise Full results presented at ACEEE Summer Study

bull Raising the Rent Premium Moving Green Building Research Beyond Certifications and Rent

bull Cindy Zhu Andrew White Paul Mathew Jeff Deason Philip Coleman

Literature Review Results

Research Agenda Core QuestionldquoHow does ltenergygreen metricgt affect ltfinancial value metricgtrdquo

EnergyGreen Metric

Site energy use or EUI

Source energy use or EUI

Energy cost or costsf

ENERGY STAR score

ENERGY STAR label

Green Building Certification (LEED BOMA 360)

Green Building Certification level (eg LEED Silver Gold)

Financial Value Metric

VacancyOccupancy Sales Price

Leasing Velocity (absorption speed of sales leasing)

Regulatory amp Compliance Risk

Tenant Renewals Insurance (rates ability)

Tenant Satisfaction Default Risk

Rental Income and Rent Concessions Debt Service Coverage Ratio

Marketing Costs Access to Funding

Utility Costs Maintenance OpEx Interest Rates

Obsolescence Reserves

Capitalization Rates

12 proposals received 5 projects selected Criteria

bull Department of Energy goals

bull Impact on Commercial Real Estate (CRE) Industry

bull Feasibility and Interest

bull Quality and Validity

Proposal Reviews

Jim Clayton Avis Devine (York University) and Rogier Holtermans(University of Guelph) Analyzing four types of energy

efficiency interventions on financial components that impact property-level NOI

bull How do interventions impact different aspects of building operations and their subsequent financial impact

Beyond Environmental Building Certification The Impact of Environmental Interventions on Commercial Real Estate Operations

Piet Eichholtz and Nils Kok (Maastricht University) and RogierHoltermans (University of Guelph) Three key questions

bull How is environmental building certification related to commercial building energy consumption

bull How does aging affect the energy consumption of the commercial building stock

bull To what extent do specific energy efficiency investments affect energy consumption in commercial real estate

The Dynamics of Energy Consumption in Commercial Real Estate

Sofia Dermisi Chris Lee and YoungjinChoe (University of Washington) Exploring the effect of disclosure

policies on office building marketability while assessing potential links between market performance of sustainable assets

bull Before and after the disclosure policies while considering market cycles

bull Before and after ENERGY STAR andor LEED certification

Markets included San Francisco Washington DC

Effect of Energy Benchmarking and Disclosure on Office Building Marketability

Dirk Brounen (Tilburg University) and Gianluca Marcato (Reading University) Analyzing the adoption of GRESB within the public real estate markets and

predicting a potential impact of GRESB scores on REIT returns

Sustainable Insights and Public Real Estate Performance GRESB Effects in REIT Markets

Constantine Kontokosta (New York University) Franz Fuerst(Cambridge University) Gary Pivo (University of Arizona) amp Jacob Sagi (UNC Chapel Hill) Utilizing NYC data to empirically model

bull the spread between the premium for labeled (energy efficient) buildings and the cost to retrofit an under-performing building to meet the same standard which will allow us to understand how much of the observed premium is attributable to energy efficiency and how much can be assigned to other perceived benefits (marketing construction quality etc)

bull the hurdle rate for energy retrofit investments using actual audit data and permitted renovation work

Estimating Office and Residential Building Energy Retrofit Hurdle Rates and Risk Arbitrage in Energy Efficiency Investments

Collecting data for continued Data Lab analysis Presenting Research findings

bull Interim research results ndash IPC Research Symposium (October)bull Greenbuild Session (November)bull RERI Research Conference (April)bull Final research results ndash Better Buildings Webinars Summit 2019 (TBA)

Work with DOE case study and data analysis opportunities abound

Next Steps

Paul Mathew

Lawrence Berkeley National Laboratorypamathewlblgov

Paulo Issler

University of California Berkeleypauloisslerberkeleyedu

Erin Hopkins

Virginia Techerinz1vtedu

Andrew White

RE Tech Advisorsawhiteretechadvisorscom

Contact Info

  • Slide Number 1
  • Business Case 20 New Research Around High Performing Buildings
  • Panelists
  • Energy and Default Risk in Commercial Mortgages
  • Paulo Issler
  • Acknowledgements
  • The link between energy and CRE mortgages
  • Approach Impact of energy on default rate
  • Default risk and source EUI (cont)
  • Default risk and source EUI
  • Default risk and source EUI (cont)
  • Default risk and source EUI (cont)
  • What are the impacts on specific loans
  • Case Studies
  • Denver Office ndash energy use and default risk
  • Denver Office ndash energy price and default risk
  • Case Studies ndash summary of risks impacts
  • Case Studies ndash business impact
  • Looking Ahead
  • Looking Ahead ndash our vision
  • Recommendations
  • Slide Number 22
  • Money Matters Exploring the Financial Impacts of Green Certifications in the Multifamily Rental SectorErin A Hopkins PhD CAPS LEED Green AssociateAssistant Professor of Property Management
  • Overview of Research
  • Certifications Represented in Sample
  • Properties by City
  • Descriptive
  • Descriptive
  • Findings
  • Financial Impacts of Green
  • Discussion
  • Discussion
  • Final Thoughts
  • Slide Number 34
  • Slide Number 35
  • Context Setting ndash DOE Research Effort
  • RERI Overview
  • Literature Review Objectives
  • Literature Review Results
  • Literature Review Results
  • Research Agenda Core Question
  • Proposal Reviews
  • Beyond Environmental Building Certification The Impact of Environmental Interventions on Commercial Real Estate Operations
  • The Dynamics of Energy Consumption in Commercial Real Estate
  • Effect of Energy Benchmarking and Disclosure on Office Building Marketability
  • Sustainable Insights and Public Real Estate Performance GRESB Effects in REIT Markets
  • Estimating Office and Residential Building Energy Retrofit Hurdle Rates and Risk Arbitrage in Energy Efficiency Investments
  • Next Steps
  • Contact Info
Y Term ~Bias Estimate EXP estimate Practical Interpretation increasedecrease Std Error DFDen t Ratio Probgt|t| Log(Vacancies amp Rent Loss rentable sf) Log(Total Rents Collected rentable sf) Log(Total Actual Collections rentable sf) Log(Management Fee rentable sf) Log(Total Utilities Rentable sf) Log(MampR rentable sf) Log(Subtotal Maintenance rentable sf) Log(Property Insurance rentable sf) Log(Total All Expenses Rentable sf) Log(NOI Rentable sf) Concessions rentable sf
Log(Vacancies amp Rent Loss rentable sf) Intercept 00893029328 10934118365 934 06116337119 1083785495375 01460072116 08841869197 Green Certified (1=yes 0=no)[Yes] -00318 01047 00991
Log(Vacancies amp Rent Loss rentable sf) Green Certified (1=yes 0=no)[Yes] -0031825668 09686754385 -313 009164153 139931853592 -03472843369 07288994904 Gym (1=yes 0=no)[Yes] 01060 00708 00767
Log(Vacancies amp Rent Loss rentable sf) Gym (1=yes 0=no)[Yes] 01007730854 11060256399 1060 01479591517 1412043780621 0681087207 0496931725 Pool (1=yes 0=no)[Yes] 01126 00089 00131
Log(Vacancies amp Rent Loss rentable sf) Pool (1=yes 0=no)[Yes] 01125884395 11191712315 1192 0113345701 506840641957 09933190097 032527325 Outdoor Common Area (1=yes 0=no)[Yes] 02673 -00803 -00764
Log(Vacancies amp Rent Loss rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 02672618233 13063824429 3064 01690835398 1429144230275 15806495624 01161688791 Walk Score 00102 00065 00066
Log(Vacancies amp Rent Loss rentable sf) Walk Score 00101642302 10102160615 102 00040763935 1219632686439 24934369735 00139912712 of Unfurnished Apartments -00003 -00009 -00008
Log(Vacancies amp Rent Loss rentable sf) of Unfurnished Apartments -0000250981 09997490505 -003 00006011213 142449410245 -04175214322 06769256723 Average Apt Unit Size -00003 -00002 -00002
Log(Vacancies amp Rent Loss rentable sf) Average Apt Unit Size -00002575258 09997425074 -003 00004990119 1315989429881 -05160713681 06066705884 Age -00026 00008 00015
Log(Vacancies amp Rent Loss rentable sf) Age -00026152008 09973882158 -026 00056263988 1391583522195 -04648090107 06427946925 Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00099 00043 00252
Log(Vacancies amp Rent Loss rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00099001013 10099492694 099 0100821633 1384002310718 00981942166 09219201454
Log(Total Rents Collected rentable sf) Intercept 30195696974 204824761253 194825 04164909532 1420770663705 72500246992 0
Log(Total Rents Collected rentable sf) Green Certified (1=yes 0=no)[Yes] 00996165255 11047471944 1047
Hopkins Erin Hopkins Erincant provide a confidencd interval for it
00590542761 1286416575023 16868638818 0094053065
Log(Total Rents Collected rentable sf) Gym (1=yes 0=no)[Yes] 00684081888 10708023088 708 0096210834 1330244953516 07110237581 04783143732
Log(Total Rents Collected rentable sf) Pool (1=yes 0=no)[Yes] 00088712036 10089106694 089 00916333982 708572236354 00968119025 09231490817
Log(Total Rents Collected rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00836597449 09197441505 -803 01126005752 1404546011941 -07429779537 04587359136
Log(Total Rents Collected rentable sf) Walk Score 0006479206 10065002414 065 0002794287 1413201347208 23187331419 00218436949
Log(Total Rents Collected rentable sf) of Unfurnished Apartments -00008678845 0999132492 -009 00003932429 1359586026848 -22069932213 00289920945
Log(Total Rents Collected rentable sf) Average Apt Unit Size -00002078918 09997921298 -002 00003300088 1382568544162 -06299582685 05297616269
Log(Total Rents Collected rentable sf) Age 00008364704 10008368204 008 00037477419 1387794745176 02231931757 08237133506
Log(Total Rents Collected rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00042999624 10043092206 043 0069466499 142786243042 00618998008 09507291881
Log(Total Actual Collections rentable sf) Intercept 30681072891 215011686418 205012 04070110501 1415072794017 75381424868 0
Log(Total Actual Collections rentable sf) Green Certified (1=yes 0=no)[Yes] 00944491888 10990533175 991 00578900924 1291837028308 16315259643 01052148631
Log(Total Actual Collections rentable sf) Gym (1=yes 0=no)[Yes] 00739127176 10767128233 767 0094247393 1335821297113 07842415071 04342868782
Log(Total Actual Collections rentable sf) Pool (1=yes 0=no)[Yes] 00130418887 10131273051 131 00885804441 654593026021 01472321442 08834013324
Log(Total Actual Collections rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00794248992 0923647384 -764 01101507414 1410305976559 -07210564195 04720684016
Log(Total Actual Collections rentable sf) Walk Score 00065530115 10065745295 066 00027272037 14047408887 24028316857 00175745575
Log(Total Actual Collections rentable sf) of Unfurnished Apartments -0000833078 09991672689 -008 00003850262 1365168778586 -21636916411 00322285543
Log(Total Actual Collections rentable sf) Average Apt Unit Size -00002169447 09997830788 -002 00003233576 1393662972101 -06709126047 05033865944
Log(Total Actual Collections rentable sf) Age 00015178151 10015189676 015 0003670824 1398532082324 04134807595 06798877496
Log(Total Actual Collections rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00249154485 10252284322 252 0067842812 1423468871242 03672525904 07139760316
Log(Management Fee rentable sf) Intercept -02128803278 08082528568 -1917 04254329778 585619088893 -0500385111 06186792644
Log(Management Fee rentable sf) Green Certified (1=yes 0=no)[Yes] 0019865513 10200641454 201 00593086525 1354977267554 03349513461 07381797603
Log(Management Fee rentable sf) Gym (1=yes 0=no)[Yes] -00082052627 09918283086 -082 00958032958 1386068833723 -00856469772 09318706455
Log(Management Fee rentable sf) Pool (1=yes 0=no)[Yes] 00174275629 10175803089 176 00771880661 202180965349 02257805358 08236388274
Log(Management Fee rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00153191452 10154370848 154 01103651216 1423896402644 01388042255 08898009734
Log(Management Fee rentable sf) Walk Score 00070459229 10070708039 071 00028008303 805559990921 25156550566 0013868745
Log(Management Fee rentable sf) of Unfurnished Apartments -0001358177 09986427449 -014 00003916726 1421224837061 -34676335479 00006950146
Log(Management Fee rentable sf) Average Apt Unit Size -00005130214 09994871101 -005 00003375961 1007585612206 -15196307445 0131735624
Log(Management Fee rentable sf) Age 00013613923 10013623194 014 00037151697 1277713043957 03664414822 07146417588
Log(Management Fee rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -00674463479 09347778721 -652 00657081953 1299283630266 -10264525997 03065854809
Log(Total Utilities Rentable sf) Intercept -03748562337 06873880949 -3126 04464274077 1402143832266 -08396801522 04025171642
Log(Total Utilities Rentable sf) Green Certified (1=yes 0=no)[Yes] 00873163337 10912418217 912 0064576715 1358457024729 13521334071 01785794114
Log(Total Utilities Rentable sf) Gym (1=yes 0=no)[Yes] 01175979311 11247917766 1248 01048349264 1384172144229 11217438221 02639135776
Log(Total Utilities Rentable sf) Pool (1=yes 0=no)[Yes] 00115680134 10116351816 116 00928512423 72633370166 01245865221 09011950626
Log(Total Utilities Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00222539972 10225034645 225 01216524447 1425571484619 01829309493 0855112103
Log(Total Utilities Rentable sf) Walk Score 00068649233 10068885409 069 00029812807 1396033046894 23026759291 00227754146
Log(Total Utilities Rentable sf) of Unfurnished Apartments -00006773222 09993229071 -007 00004273761 1401067188346 -15848386198 01152575495
Log(Total Utilities Rentable sf) Average Apt Unit Size -00003442022 0999655857 -003 00003581401 1425120147852 -09610825805 03381384619
Log(Total Utilities Rentable sf) Age 00048795122 10048914364 049 00040600929 1425855030198 12018227897 02314244716
Log(Total Utilities Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -01198355423 08870663096 -1129 00742421382 1413320388001 -16141176043 01087323819
Log(MampR rentable sf) Intercept -09030689887 04053238148 -5947 0437858541 1384008312652 -20624674504 00410332652
Log(MampR rentable sf) Green Certified (1=yes 0=no)[Yes] 00937424436 10982768413 983 00639155521 1376081716673 14666609392 01447499128
Log(MampR rentable sf) Gym (1=yes 0=no)[Yes] 00037664885 10037735907 038 01036113865 1396450691334 00363520715 09710535435
Log(MampR rentable sf) Pool (1=yes 0=no)[Yes] 01319613595 11410642271 1411 00887446725 719561267791 14869778183 0141389644
Log(MampR rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00521515872 09491849716 -508 01197720975 1428478988157 -04354235112 06639122497
Log(MampR rentable sf) Walk Score 00110131704 10110740386 111 00029197236 1385662208531 37719907631 00002391344
Log(MampR rentable sf) of Unfurnished Apartments -00008849955 09991153959 -009 00004219429 1410140957414 -20974297602 0037740228
Log(MampR rentable sf) Average Apt Unit Size 00000594506 10000594524 001 0000353075 1429981472006 01683796031 08665225748
Log(MampR rentable sf) Age 0007624822 1007653965 077 00039990018 142990029884 19066812998 00585678315
Log(MampR rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00598131349 10616381449 616 00727173027 1406732379184 08225433659 04121598071
Log(Subtotal Maintenance rentable sf) Intercept -07997344997 04494482769 -5506 0489167182 1380935604874 -16348899298 01043496414
Log(Subtotal Maintenance rentable sf) Green Certified (1=yes 0=no)[Yes] 01180969773 11253532398 1254 00707986514 1348907221481 16680681771 00976219515
Log(Subtotal Maintenance rentable sf) Gym (1=yes 0=no)[Yes] 00409351965 10417845921 418 01148796072 1378640116803 03563312718 07221372278
Log(Subtotal Maintenance rentable sf) Pool (1=yes 0=no)[Yes] 01515780559 11636691295 1637 0100780712 617547240206 15040383505 01376688864
Log(Subtotal Maintenance rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -0078076377 09248937833 -751 01331885868 1426567369893 -05862092154 05586613077
Log(Subtotal Maintenance rentable sf) Walk Score 0011889233 10119601909 120 00032614069 1377504918879 36454307183 00003773801
Log(Subtotal Maintenance rentable sf) of Unfurnished Apartments -00008153416 09991849907 -008 00004682078 1398534995511 -17414095506 00838107083
Log(Subtotal Maintenance rentable sf) Average Apt Unit Size 00005083484 10005084776 005 00003930253 1428434249161 12934242295 01979520949
Log(Subtotal Maintenance rentable sf) Age 00104106727 10104650523 105 00044515054 1428449267664 23386858733 00207383998
Log(Subtotal Maintenance rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 02440298206 12763823925 2764 0081177414 1402563601749 30061295196 00031359748
Log(Property Insurance rentable sf) Intercept -08916874806 04099633635 -5900 04516384713 1429624291993 -19743390727 00502702101
Log(Property Insurance rentable sf) Green Certified (1=yes 0=no)[Yes] 01239058141 11319092561 1319 0062692592 1281678143933 19764027959 00502564371
Log(Property Insurance rentable sf) Gym (1=yes 0=no)[Yes] -0003522638 09964835593 -035 01024969537 1314939748594 -0034368221 09726356404
Log(Property Insurance rentable sf) Pool (1=yes 0=no)[Yes] 00227423743 10230029538 230 01040308572 1125700947624 02186118131 08273482928
Log(Property Insurance rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00155809876 10157030041 157 01206677853 1368483458399 01291230096 08974498986
Log(Property Insurance rentable sf) Walk Score 00072977866 10073244804 073 00030353828 1428602075435 24042392705 00174877086
Log(Property Insurance rentable sf) of Unfurnished Apartments -00010061941 09989943119 -010 0000420017 1337858380697 -23956034086 00179774093
Log(Property Insurance rentable sf) Average Apt Unit Size -00006330482 09993671521 -006 00003514502 1338864329416 -18012458048 0073914725
Log(Property Insurance rentable sf) Age 00009661099 10009665767 010 00039921418 1338497494964 02420028921 08091483095
Log(Property Insurance rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -00520208103 09493091112 -507 00749301111 1411273861679 -06942577501 04886618561
Log(Total All Expenses Rentable sf) Intercept 17410862845 57035357214 47035 03946731547 141889623796 44114636723 00000201648
Log(Total All Expenses Rentable sf) Green Certified (1=yes 0=no)[Yes] 01231722438 11310792255 1311 00565275641 1341244163534 21789766772 00310802733
Log(Total All Expenses Rentable sf) Gym (1=yes 0=no)[Yes] 00096244971 10096709615 097 00919378962 1370603130567 01046847658 09167789899
Log(Total All Expenses Rentable sf) Pool (1=yes 0=no)[Yes] 01610294116 11747195186 1747 00846545666 801516751987 19021940341 00607378863
Log(Total All Expenses Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00361842114 09644626121 -355 01071504659 1418739239709 -03376953252 07360919324
Log(Total All Expenses Rentable sf) Walk Score 00087371658 10087754463 088 00026426023 1411809488418 33062734678 00011989895
Log(Total All Expenses Rentable sf) of Unfurnished Apartments -00008720665 09991283137 -009 00003752966 1389800988186 -23236728617 00215934791
Log(Total All Expenses Rentable sf) Average Apt Unit Size -0000155413 0999844599 -002 00003145108 1409449329598 -0494142052 06219751067
Log(Total All Expenses Rentable sf) Age 00015666155 10015678433 016 00035695206 1412387206124 04388868073 06614142124
Log(Total All Expenses Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00157918953 10159172462 159 00657593447 1424551160559 02401467861 08105616925
Log(NOI Rentable sf) Intercept 27416093787 155119295878 145119 049686036 1426328429735 55178669889 0000000157
Log(NOI Rentable sf) Green Certified (1=yes 0=no)[Yes] 00932241108 10977077159 977 00701671113 1292740226257 13286012361 01863200879
Log(NOI Rentable sf) Gym (1=yes 0=no)[Yes] 0111280688 11177085902 1177 0114413579 13320261997 09726178396 03325061802
Log(NOI Rentable sf) Pool (1=yes 0=no)[Yes] -00608871507 0940929417 -591 01107002034 838263437204 -05500184174 05837693269
Log(NOI Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -01393113526 08699571229 -1300 01340931949 1397855428856 -10389144106 03006382455
Log(NOI Rentable sf) Walk Score 00045000262 10045101666 045 0003337636 1423581725818 13482675372 01797136327
Log(NOI Rentable sf) of Unfurnished Apartments -00007116645 09992885887 -007 00004679272 1358400867851 -15208872073 01306124688
Log(NOI Rentable sf) Average Apt Unit Size -00001937801 09998062387 -002 00003921685 1372175013367 -04941245389 06220083144
Log(NOI Rentable sf) Age 00034607088 1003466704 035 00044548378 1376438770548 07768428318 04385844885
Log(NOI Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00488697769 10500835966 501 00828565286 1429949688826 05898120243 0556247504
Concessions rentable sf Intercept 0091580439 10959049266 959 12772069558 1418541020247 00717036801 09429387231
Concessions rentable sf Green Certified (1=yes 0=no)[Yes] 01110697527 11174728508 1175 01814813765 1293641668833 06120173584 05416004511
Concessions rentable sf Gym (1=yes 0=no)[Yes] -05094051331 06008529 -3991 02955403985 1336296409402 -17236395961 00870857294
Concessions rentable sf Pool (1=yes 0=no)[Yes] -00886152984 09151975838 -848 02791864929 69298361986 -03174053928 07518903943
Concessions rentable sf Outdoor Common Area (1=yes 0=no)[Yes] 04576291372 15803228114 5803 03455726285 1408379747117 13242632646 01875606951
Concessions rentable sf Walk Score 00120688741 10121419968 121 00085630896 1409791646097 14094064916 01609170757
Concessions rentable sf of Unfurnished Apartments -00007045588 09992956894 -007 00012075862 1364744404696 -05834438741 05605574922
Concessions rentable sf Average Apt Unit Size -00003193903 09996806607 -003 00010135961 1389703034326 -03151061148 07531537379
Concessions rentable sf Age 00130223218 10131074815 131 00115086772 139464867267 11315220311 02597773256
Concessions rentable sf Building Mix (0=multifamily 1 = mixed-use)[Mixed] -03719888249 06893619462 -3106 02129597676 1426034459287 -17467563435 00828326573
Y Term Practical Interpretation increasedecrease Probgt|t| Total Rents Collected Subtotal Maintenance Property Insurance Total Expenses
Log(Total Rents Collected rentable sf) Green Certified (1=yes 0=no)[Yes] 1047
Hopkins Erin Hopkins Erincant provide a confidencd interval for it
009 130837635934 13311489362 01847683215 67633617021
Log(Subtotal Maintenance rentable sf) Green Certified (1=yes 0=no)[Yes] 1254 010 267662568114 08839769656 0489370035 133484365708
Log(Property Insurance rentable sf) Green Certified (1=yes 0=no)[Yes] 1319 005 44887430941 07758149459 02417429373 41261056301
Log(Total All Expenses Rentable sf) Green Certified (1=yes 0=no)[Yes] 1311 003 103066299601 12390720963 00474343371 5067818194
206907297628 2385711159 02072356932 9194606526
318766961061 22633758919 04452208547 128154919371
92461669878 09545425866 01280485733 38832017239
143925847783 15966970999 02187893202 54018796992
176714125561 02006495648 02876780533 58992020575
232897515382 0726170332 00787094673 69517596041
Non-green sf average Financial Green Impact sf Financial green impact differencesf Green impactapt Green impactproperty 51780910259 05203453537 00494304264 22609306646
178353784788 17547710996 02048626598 95961490345
Total Rents Collected sf 1047 2356 2603 $ 247 $ 2189 $ 551683 113769814112 12206875575 03432049607 118156743193
Subtotal Maintenance sf 1254 160 180 $ 020 $ 178 $ 44843 301239240258 10561596849 0204970258 110903994641
Property Insurance sf 1319 036 041 $ 005 $ 42 $ 10601 918584487 08376649832 00914663991 4146546939
Total Expenses sf 1311 852 963 $ 112 $ 990 $ 249535 265183769576 19294929362 03500602344 108447158033
226055903548 13557897255 03988791741 10971207244
334894587007 17970717884 05122599181 124640467569
5542518821 31394328066 04875650977 200668786372
112655732059 13445692884 02031297086 43995867235
129139526152 1168069688 00518980213 4651511283
Avg Apt Size Avg of Units 151098478261 13975 02004130435 51873478261
192155046737 21015937064 02616549091 8357602264
887 252 514840434082 52766375656 02375463267 174375582672
81421971535 06694487849 00899424521 2748686222
30246817244 21594341279 03308639536 97277207077
488523197409 27727612187 0646599696 130752346177
318750561687 38903340576 03852711795 142409683793
310384048163 43119745565 03335824966 138846874251
Green Certification Impacts 48578215663 0350218077 03095574205 23695139998
Dependent Variable Per Square Foot Per Apartment Per Property 192237574111 13374121765 02053242615 84027476689
Total Rents Collected $ 247 $ 2189 $ 551683 62979912788 05343191729 00816289996 45390243161
Subtotal Maintenance $ 020 $ 178 $ 44843 148378959661 14651715909 02004049722 80900580942
Property Insurance $ 005 $ 42 $ 10601 196798863889 11267176542 02499920663 90266351433
Total Expenses $ 112 $ 990 $ 249535 281508617823 09686995581 01118170881 119863342059
58584849751 0106864586 04187933949 44180073736
126756167712 1265684516 02796423029 87538414144
176550549412 24957340254 02343899179 88904473415
252421786235 28063734042 03142238564 133776179357
191875932907 13637043757 03440324697 987034902
159508092934 13109374847 02091697013 98967206196
342739845467 09614092295 03929892961 129755936769
192510355167 32804720611 01743191858 134560085596
257829360401 13666691797 01527100011 56329812754
358622391559 14251973427 03437553732 101098436889
217744157919 24046486586 01864745418 68711016642
222112557003 22022148788 07879755849 97807110765
202535763689 04548110217 10003436751 127886698915
155879815194 23816051158 04816227091 119033557201
11066078843 23413202706 06413902496 81812176347
151924709838 18873401649 05711000232 105403544539
163604010853 16052949068 02714509557 82030431823
133974400047 11018949984 03560839935 59096477943
133528448829 13647819036 02538331588 66159357367
187400008959 16889788117 030870974 115752907975
155246293804 18308314258 03852380906 116657595614
34082816218 05447090935 09838411173 13641308574
201220131342 11192465065 03188344246 93786154242
139108532616 13313944086 03887737775 69698295902
191656858207 15717927807 06002115982 119380046581
200921599083 12597596226 03267106334 82474085087
57536742874 00453219212 00300766262 10569757217
120548294116 11607892527 03275736725 74435143659
123188534664 1404028789 03510968138 78762080781
59543029729 0899713372 01652374748 28143456117
144215639215 19193238703 02899837711 67370054173
340046684831 19619729415 04325060698 120608464163
208244777176 28183367899 037 73104355304
234349752613 19432301154 0351134881 107484594815
136370903402 17029933791 01989576534 50899930579
149968383478 14209793679 02735642323 63813718869
81145819519 0920766851 00474564037 30674168785
226307446224 12529424404 02036192613 69235920453
132787305462 08047482453 01232346659 41808605432
251519090044 21798380428 0376480317 80396623551
492269138212 12196979039 02981674812 128316943664
107177195916 08016374211 0113808252 40618650625
128238528886 10751217142 01843492552 6476830365
57582611557 11908427448 0874334536 134004066235
43835651097 34822540694 03904989384 146763800425
205787355386 1429219053 02624404931 5321754079
463148430769 07709353846 06150738462 101617384615
377949548611 28670972222 08296944444 109743576389
360087564176 03501711352 18551055334 110041072447
18371979614 18232783153 07267294459 61184870906
678035276363 13443501226 10431616676 167533484248
56073359244 10138647576 01591318768 51440832304
189431314891 05101557395 03677787459 41010945328
383550342095 23244425576 04086557393 98151764619
115544349685 03310482653 037 40344851625
7552318246 0955023726 01241945851 24368780848
133083101881 19451300341 00938801919 48731378614
122308363087 13760780005 01439989014 45100624828
84908269322 10857071617 01155797799 36082570734
263116048067 10733627163 041902582 60372732395
76183752731 09621126305 01069925907 26170373239
172494454001 11781600332 03919686814 59016193131
342076422068 22741368431 03165622465 73557085549
215534567901 1485497076 02210396361 49118778428
314593058927 23798916958 02751353803 121998559501
586535191691 21029046354 02109026171 91979074439
138093310078 14595490221 02142269839 44286283792
227203645682 04584630891 05737147639 93344680527
572754455737 17713614269 01642228739 92545561671
60603870458 04541110154 01180884676 15902125521
358781017266 33847643857 06854022643 139200146946
342079216629 24477703832 0463059603 67166143833
651201231187 51019950176 12529595849 222094150831
369798669702 21700816928 0444474205 101410502507
421838575952 28823013788 05443272608 151399739597
626095189209 20826275416 04947814184 184651096472
214882899762 25034709712 06359683889 109534721722
274037120739 26718517094 037 67504928595
252667703737 25588590114 05379535858 109041874345
59253832495 01099622961 04620367393 19262874847
150862851538 18053109961 07398729558 71488607075
111196959019 00928417366 037 09427894164
667360269858 07921160191 02989609494 104670639024
2356 160 036 852
Log(Vacancies amp Rent Loss rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified -00318 00916 -00313 07289
Fitness Center 01008 01480 01060 04969
Pool 01126 01133 01192 03253
Outdoor Common Area 02673 01691 03064 01162
Walk Score 00102 00041 00102 00140
of Unfurnished Apartments -00003 00006 -00003 06769
Average Apt Unit Size -00003 00005 -00003 06067
Age -00026 00056 -00026 06428
Building Mix 00099 01008 00099 09219
Note R2 = 645
Log(Total Rents Collected rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00996 00591 01047 00941
Fitness Center 00684 00962 00708 04783
Pool 00089 00916 00089 09231
Outdoor Common Area -00837 01126 -00803 04587
Walk Score 00065 00028 00065 00218
of Unfurnished Apartments -00009 00004 -00009 00290
Average Apt Unit Size -00002 00003 -00002 05298
Age 00008 00037 00008 08237
Building Mix 00043 00695 00043 09507
Note R2 = 3318
Log(Total Actual Collections rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00944 00579 00991 01052
Fitness Center 00739 00942 00767 04343
Pool 00130 00886 00131 08834
Outdoor Common Area -00794 01102 -00764 04721
Walk Score 00066 00027 00066 00176
of Unfurnished Apartments -00008 00004 -00008 00322
Average Apt Unit Size -00002 00003 -00002 05034
Age 00015 00037 00015 06799
Building Mix 00249 00678 00252 07140
Note R2 = 3219
Log(Management Fee rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00199 00593 00201 07382
Fitness Center -00082 00958 -00082 09319
Pool 00174 00772 00176 08236
Outdoor Common Area 00153 01104 00154 08898
Walk Score 00070 00028 00071 00139
of Unfurnished Apartments -00014 00004 -00014 00007
Average Apt Unit Size -00005 00003 -00005 01317
Age 00014 00037 00014 07146
Building Mix -00674 00657 -00652 03066
Note R2 = 1697
Log(Total Utilities Rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00873 00646 00912 01786
Fitness Center 01176 01048 01248 02639
Pool 00116 00929 00116 09012
Outdoor Common Area 00223 01217 00225 08551
Walk Score 00069 00030 00069 00228
of Unfurnished Apartments -00007 00004 -00007 01153
Average Apt Unit Size -00003 00004 -00003 03381
Age 00049 00041 00049 02314
Building Mix -01198 00742 -01129 01087
Note R2 = 2171
Log(MampR rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00937 00639 00983 01447
Fitness Center 00038 01036 00038 09711
Pool 01320 00887 01411 01414
Outdoor Common Area -00522 01198 -00508 06639
Walk Score 00110 00029 00111 00002
of Unfurnished Apartments -00009 00004 -00009 00377
Average Apt Unit Size 00001 00004 00001 08665
Age 00076 00040 00077 00586
Building Mix 00598 00727 00616 04122
Note R2 = 2620
Log(Subtotal Maintenance rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 01181 00708 01254 00976
Fitness Center 00409 01149 00418 07221
Pool 01516 01008 01637 01377
Outdoor Common Area -00781 01332 -00751 05587
Walk Score 00119 00033 00120 00004
of Unfurnished Apartments -00008 00005 -00008 00838
Average Apt Unit Size 00005 00004 00005 01980
Age 00104 00045 00105 00207
Building Mix 02440 00812 02764 00031
Note R2 = 3218
Log(Property Insurance rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 01239 00627 01319 00503
Fitness Center -00035 01025 -00035 09726
Pool 00227 01040 00230 08273
Outdoor Common Area 00156 01207 00157 08974
Walk Score 00073 00030 00073 00175
of Unfurnished Apartments -00010 00004 -00010 00180
Average Apt Unit Size -00006 00004 -00006 00739
Age 00010 00040 00010 08091
Building Mix -00520 00749 -00507 04887
Note R2 = 3902
Log(Total All Expenses Rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 01232 00565 01311 00311
Fitness Center 00096 00919 00097 09168
Pool 01610 00847 01747 00607
Outdoor Common Area -00362 01072 -00355 07361
Walk Score 00087 00026 00088 00012
of Unfurnished Apartments -00009 00004 -00009 00216
Average Apt Unit Size -00002 00003 -00002 06220
Age 00016 00036 00016 06614
Building Mix 00158 00658 00159 08106
Note R2 = 2943
Log(NOI Rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00932 00702 00977 01863
Fitness Center 01113 01144 01177 03325
Pool -00609 01107 -00591 05838
Outdoor Common Area -01393 01341 -01300 03006
Walk Score 00045 00033 00045 01797
of Unfurnished Apartments -00007 00005 -00007 01306
Average Apt Unit Size -00002 00004 -00002 06220
Age 00035 00045 00035 04386
Building Mix 00489 00829 00501 05562
Note R2 = 3669
Concessions rentable sf
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 01111 01815 01175 05416
Fitness Center -05094 02955 -03991 00871
Pool -00886 02792 -00848 07519
Outdoor Common Area 04576 03456 05803 01876
Walk Score 00121 00086 00121 01609
of Unfurnished Apartments -00007 00012 -00007 05606
Average Apt Unit Size -00003 00010 -00003 07532
Age 00130 00115 00131 02598
Building Mix -03720 02130 -03106 00828
Note R2 = 2402
Y Term ~Bias Estimate EXP estimate Practical Interpretation increasedecrease Std Error DFDen t Ratio Probgt|t| Estimate Std Error Practical Interpretation Significance
Log(Vacancies amp Rent Loss rentable sf) Intercept 00893029328 10934118365 934 06116337119 1083785495375 01460072116 08841869197 Green Cert
Log(Vacancies amp Rent Loss rentable sf) Green Certified (1=yes 0=no)[Yes] -0031825668 09686754385 -313 009164153 139931853592 -03472843369 07288994904 Gym
Log(Vacancies amp Rent Loss rentable sf) Gym (1=yes 0=no)[Yes] 01007730854 11060256399 1060 01479591517 1412043780621 0681087207 0496931725
Log(Vacancies amp Rent Loss rentable sf) Pool (1=yes 0=no)[Yes] 01125884395 11191712315 1192 0113345701 506840641957 09933190097 032527325
Log(Vacancies amp Rent Loss rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 02672618233 13063824429 3064 01690835398 1429144230275 15806495624 01161688791
Log(Vacancies amp Rent Loss rentable sf) Walk Score 00101642302 10102160615 102 00040763935 1219632686439 24934369735 00139912712
Log(Vacancies amp Rent Loss rentable sf) of Unfurnished Apartments -0000250981 09997490505 -003 00006011213 142449410245 -04175214322 06769256723
Log(Vacancies amp Rent Loss rentable sf) Average Apt Unit Size -00002575258 09997425074 -003 00004990119 1315989429881 -05160713681 06066705884
Log(Vacancies amp Rent Loss rentable sf) Age -00026152008 09973882158 -026 00056263988 1391583522195 -04648090107 06427946925
Log(Vacancies amp Rent Loss rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00099001013 10099492694 099 0100821633 1384002310718 00981942166 09219201454
Log(Total Rents Collected rentable sf) Intercept 30195696974 204824761253 194825 04164909532 1420770663705 72500246992 0
Log(Total Rents Collected rentable sf) Green Certified (1=yes 0=no)[Yes] 00996165255 11047471944 1047
Hopkins Erin Hopkins Erincant provide a confidencd interval for it
00590542761 1286416575023 16868638818 0094053065 0099617 00590542761 1047
Log(Total Rents Collected rentable sf) Gym (1=yes 0=no)[Yes] 00684081888 10708023088 708 0096210834 1330244953516 07110237581 04783143732
Log(Total Rents Collected rentable sf) Pool (1=yes 0=no)[Yes] 00088712036 10089106694 089 00916333982 708572236354 00968119025 09231490817
Log(Total Rents Collected rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00836597449 09197441505 -803 01126005752 1404546011941 -07429779537 04587359136
Log(Total Rents Collected rentable sf) Walk Score 0006479206 10065002414 065 0002794287 1413201347208 23187331419 00218436949
Log(Total Rents Collected rentable sf) of Unfurnished Apartments -00008678845 0999132492 -009 00003932429 1359586026848 -22069932213 00289920945 variance components to talk about how much of the total error that is attribuatle to city
Log(Total Rents Collected rentable sf) Average Apt Unit Size -00002078918 09997921298 -002 00003300088 1382568544162 -06299582685 05297616269
Log(Total Rents Collected rentable sf) Age 00008364704 10008368204 008 00037477419 1387794745176 02231931757 08237133506
Log(Total Rents Collected rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00042999624 10043092206 043 0069466499 142786243042 00618998008 09507291881
Log(Total Actual Collections rentable sf) Intercept 30681072891 215011686418 205012 04070110501 1415072794017 75381424868 0
Log(Total Actual Collections rentable sf) Green Certified (1=yes 0=no)[Yes] 00944491888 10990533175 991 00578900924 1291837028308 16315259643 01052148631
Log(Total Actual Collections rentable sf) Gym (1=yes 0=no)[Yes] 00739127176 10767128233 767 0094247393 1335821297113 07842415071 04342868782
Log(Total Actual Collections rentable sf) Pool (1=yes 0=no)[Yes] 00130418887 10131273051 131 00885804441 654593026021 01472321442 08834013324
Log(Total Actual Collections rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00794248992 0923647384 -764 01101507414 1410305976559 -07210564195 04720684016
Log(Total Actual Collections rentable sf) Walk Score 00065530115 10065745295 066 00027272037 14047408887 24028316857 00175745575
Log(Total Actual Collections rentable sf) of Unfurnished Apartments -0000833078 09991672689 -008 00003850262 1365168778586 -21636916411 00322285543
Log(Total Actual Collections rentable sf) Average Apt Unit Size -00002169447 09997830788 -002 00003233576 1393662972101 -06709126047 05033865944
Log(Total Actual Collections rentable sf) Age 00015178151 10015189676 015 0003670824 1398532082324 04134807595 06798877496
Log(Total Actual Collections rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00249154485 10252284322 252 0067842812 1423468871242 03672525904 07139760316
Log(Management Fee rentable sf) Intercept -02128803278 08082528568 -1917 04254329778 585619088893 -0500385111 06186792644
Log(Management Fee rentable sf) Green Certified (1=yes 0=no)[Yes] 0019865513 10200641454 201 00593086525 1354977267554 03349513461 07381797603
Log(Management Fee rentable sf) Gym (1=yes 0=no)[Yes] -00082052627 09918283086 -082 00958032958 1386068833723 -00856469772 09318706455
Log(Management Fee rentable sf) Pool (1=yes 0=no)[Yes] 00174275629 10175803089 176 00771880661 202180965349 02257805358 08236388274
Log(Management Fee rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00153191452 10154370848 154 01103651216 1423896402644 01388042255 08898009734
Log(Management Fee rentable sf) Walk Score 00070459229 10070708039 071 00028008303 805559990921 25156550566 0013868745
Log(Management Fee rentable sf) of Unfurnished Apartments -0001358177 09986427449 -014 00003916726 1421224837061 -34676335479 00006950146
Log(Management Fee rentable sf) Average Apt Unit Size -00005130214 09994871101 -005 00003375961 1007585612206 -15196307445 0131735624
Log(Management Fee rentable sf) Age 00013613923 10013623194 014 00037151697 1277713043957 03664414822 07146417588
Log(Management Fee rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -00674463479 09347778721 -652 00657081953 1299283630266 -10264525997 03065854809
Log(Total Utilities Rentable sf) Intercept -03748562337 06873880949 -3126 04464274077 1402143832266 -08396801522 04025171642
Log(Total Utilities Rentable sf) Green Certified (1=yes 0=no)[Yes] 00873163337 10912418217 912 0064576715 1358457024729 13521334071 01785794114
Log(Total Utilities Rentable sf) Gym (1=yes 0=no)[Yes] 01175979311 11247917766 1248 01048349264 1384172144229 11217438221 02639135776
Log(Total Utilities Rentable sf) Pool (1=yes 0=no)[Yes] 00115680134 10116351816 116 00928512423 72633370166 01245865221 09011950626
Log(Total Utilities Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00222539972 10225034645 225 01216524447 1425571484619 01829309493 0855112103
Log(Total Utilities Rentable sf) Walk Score 00068649233 10068885409 069 00029812807 1396033046894 23026759291 00227754146
Log(Total Utilities Rentable sf) of Unfurnished Apartments -00006773222 09993229071 -007 00004273761 1401067188346 -15848386198 01152575495
Log(Total Utilities Rentable sf) Average Apt Unit Size -00003442022 0999655857 -003 00003581401 1425120147852 -09610825805 03381384619
Log(Total Utilities Rentable sf) Age 00048795122 10048914364 049 00040600929 1425855030198 12018227897 02314244716
Log(Total Utilities Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -01198355423 08870663096 -1129 00742421382 1413320388001 -16141176043 01087323819
Log(MampR rentable sf) Intercept -09030689887 04053238148 -5947 0437858541 1384008312652 -20624674504 00410332652
Log(MampR rentable sf) Green Certified (1=yes 0=no)[Yes] 00937424436 10982768413 983 00639155521 1376081716673 14666609392 01447499128
Log(MampR rentable sf) Gym (1=yes 0=no)[Yes] 00037664885 10037735907 038 01036113865 1396450691334 00363520715 09710535435
Log(MampR rentable sf) Pool (1=yes 0=no)[Yes] 01319613595 11410642271 1411 00887446725 719561267791 14869778183 0141389644
Log(MampR rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00521515872 09491849716 -508 01197720975 1428478988157 -04354235112 06639122497
Log(MampR rentable sf) Walk Score 00110131704 10110740386 111 00029197236 1385662208531 37719907631 00002391344
Log(MampR rentable sf) of Unfurnished Apartments -00008849955 09991153959 -009 00004219429 1410140957414 -20974297602 0037740228
Log(MampR rentable sf) Average Apt Unit Size 00000594506 10000594524 001 0000353075 1429981472006 01683796031 08665225748
Log(MampR rentable sf) Age 0007624822 1007653965 077 00039990018 142990029884 19066812998 00585678315
Log(MampR rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00598131349 10616381449 616 00727173027 1406732379184 08225433659 04121598071
Log(Subtotal Maintenance rentable sf) Intercept -07997344997 04494482769 -5506 0489167182 1380935604874 -16348899298 01043496414
Log(Subtotal Maintenance rentable sf) Green Certified (1=yes 0=no)[Yes] 01180969773 11253532398 1254 00707986514 1348907221481 16680681771 00976219515
Log(Subtotal Maintenance rentable sf) Gym (1=yes 0=no)[Yes] 00409351965 10417845921 418 01148796072 1378640116803 03563312718 07221372278
Log(Subtotal Maintenance rentable sf) Pool (1=yes 0=no)[Yes] 01515780559 11636691295 1637 0100780712 617547240206 15040383505 01376688864
Log(Subtotal Maintenance rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -0078076377 09248937833 -751 01331885868 1426567369893 -05862092154 05586613077
Log(Subtotal Maintenance rentable sf) Walk Score 0011889233 10119601909 120 00032614069 1377504918879 36454307183 00003773801
Log(Subtotal Maintenance rentable sf) of Unfurnished Apartments -00008153416 09991849907 -008 00004682078 1398534995511 -17414095506 00838107083
Log(Subtotal Maintenance rentable sf) Average Apt Unit Size 00005083484 10005084776 005 00003930253 1428434249161 12934242295 01979520949
Log(Subtotal Maintenance rentable sf) Age 00104106727 10104650523 105 00044515054 1428449267664 23386858733 00207383998
Log(Subtotal Maintenance rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 02440298206 12763823925 2764 0081177414 1402563601749 30061295196 00031359748
Log(Property Insurance rentable sf) Intercept -08916874806 04099633635 -5900 04516384713 1429624291993 -19743390727 00502702101
Log(Property Insurance rentable sf) Green Certified (1=yes 0=no)[Yes] 01239058141 11319092561 1319 0062692592 1281678143933 19764027959 00502564371
Log(Property Insurance rentable sf) Gym (1=yes 0=no)[Yes] -0003522638 09964835593 -035 01024969537 1314939748594 -0034368221 09726356404
Log(Property Insurance rentable sf) Pool (1=yes 0=no)[Yes] 00227423743 10230029538 230 01040308572 1125700947624 02186118131 08273482928
Log(Property Insurance rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00155809876 10157030041 157 01206677853 1368483458399 01291230096 08974498986
Log(Property Insurance rentable sf) Walk Score 00072977866 10073244804 073 00030353828 1428602075435 24042392705 00174877086
Log(Property Insurance rentable sf) of Unfurnished Apartments -00010061941 09989943119 -010 0000420017 1337858380697 -23956034086 00179774093
Log(Property Insurance rentable sf) Average Apt Unit Size -00006330482 09993671521 -006 00003514502 1338864329416 -18012458048 0073914725
Log(Property Insurance rentable sf) Age 00009661099 10009665767 010 00039921418 1338497494964 02420028921 08091483095
Log(Property Insurance rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -00520208103 09493091112 -507 00749301111 1411273861679 -06942577501 04886618561
Log(Total All Expenses Rentable sf) Intercept 17410862845 57035357214 47035 03946731547 141889623796 44114636723 00000201648
Log(Total All Expenses Rentable sf) Green Certified (1=yes 0=no)[Yes] 01231722438 11310792255 1311 00565275641 1341244163534 21789766772 00310802733
Log(Total All Expenses Rentable sf) Gym (1=yes 0=no)[Yes] 00096244971 10096709615 097 00919378962 1370603130567 01046847658 09167789899
Log(Total All Expenses Rentable sf) Pool (1=yes 0=no)[Yes] 01610294116 11747195186 1747 00846545666 801516751987 19021940341 00607378863
Log(Total All Expenses Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00361842114 09644626121 -355 01071504659 1418739239709 -03376953252 07360919324
Log(Total All Expenses Rentable sf) Walk Score 00087371658 10087754463 088 00026426023 1411809488418 33062734678 00011989895
Log(Total All Expenses Rentable sf) of Unfurnished Apartments -00008720665 09991283137 -009 00003752966 1389800988186 -23236728617 00215934791
Log(Total All Expenses Rentable sf) Average Apt Unit Size -0000155413 0999844599 -002 00003145108 1409449329598 -0494142052 06219751067
Log(Total All Expenses Rentable sf) Age 00015666155 10015678433 016 00035695206 1412387206124 04388868073 06614142124
Log(Total All Expenses Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00157918953 10159172462 159 00657593447 1424551160559 02401467861 08105616925
Log(NOI Rentable sf) Intercept 27416093787 155119295878 145119 049686036 1426328429735 55178669889 0000000157
Log(NOI Rentable sf) Green Certified (1=yes 0=no)[Yes] 00932241108 10977077159 977 00701671113 1292740226257 13286012361 01863200879
Log(NOI Rentable sf) Gym (1=yes 0=no)[Yes] 0111280688 11177085902 1177 0114413579 13320261997 09726178396 03325061802
Log(NOI Rentable sf) Pool (1=yes 0=no)[Yes] -00608871507 0940929417 -591 01107002034 838263437204 -05500184174 05837693269
Log(NOI Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -01393113526 08699571229 -1300 01340931949 1397855428856 -10389144106 03006382455
Log(NOI Rentable sf) Walk Score 00045000262 10045101666 045 0003337636 1423581725818 13482675372 01797136327
Log(NOI Rentable sf) of Unfurnished Apartments -00007116645 09992885887 -007 00004679272 1358400867851 -15208872073 01306124688
Log(NOI Rentable sf) Average Apt Unit Size -00001937801 09998062387 -002 00003921685 1372175013367 -04941245389 06220083144
Log(NOI Rentable sf) Age 00034607088 1003466704 035 00044548378 1376438770548 07768428318 04385844885
Log(NOI Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00488697769 10500835966 501 00828565286 1429949688826 05898120243 0556247504
Concessions rentable sf Intercept 0091580439 10959049266 959 12772069558 1418541020247 00717036801 09429387231
Concessions rentable sf Green Certified (1=yes 0=no)[Yes] 01110697527 11174728508 1175 01814813765 1293641668833 06120173584 05416004511
Concessions rentable sf Gym (1=yes 0=no)[Yes] -05094051331 06008529 -3991 02955403985 1336296409402 -17236395961 00870857294
Concessions rentable sf Pool (1=yes 0=no)[Yes] -00886152984 09151975838 -848 02791864929 69298361986 -03174053928 07518903943
Concessions rentable sf Outdoor Common Area (1=yes 0=no)[Yes] 04576291372 15803228114 5803 03455726285 1408379747117 13242632646 01875606951
Concessions rentable sf Walk Score 00120688741 10121419968 121 00085630896 1409791646097 14094064916 01609170757
Concessions rentable sf of Unfurnished Apartments -00007045588 09992956894 -007 00012075862 1364744404696 -05834438741 05605574922
Concessions rentable sf Average Apt Unit Size -00003193903 09996806607 -003 00010135961 1389703034326 -03151061148 07531537379
Concessions rentable sf Age 00130223218 10131074815 131 00115086772 139464867267 11315220311 02597773256
Concessions rentable sf Building Mix (0=multifamily 1 = mixed-use)[Mixed] -03719888249 06893619462 -3106 02129597676 1426034459287 -17467563435 00828326573
Page 25: AUGUST 21- 23, 2018 • CLEVELAND, OHIO€¦ · Business Case 2.0: New Research Around High Performing Buildings Thursday 23 rd, 2018 10:30am – 12:00pm

Certifications Represented in Sample

Austin Energy Green Buildingreg (AEGB)

Rating System(3)

ENERGY STARreg

(1)

Florida Green Building Coalition

(FGBC)(1)

GreenPoint Rated(4)

LEEDreg

(16)

National Green Building Standardtrade

(NGBS)(11)

Properties by City

2

4

2 2 21 1

3

1 1 12 2

1 1 1

6

1 1

8

11

4

6

14

3

1

19

3

1 1

7

43

2

9

18

2 2

0

2

4

6

8

10

12

14

16

18

20

Summary Statistics of City Datan=153

Summary Satistics of City Data Green Bldgs Summary Satistics of City Data Non-Green Comparables

Descriptive

97

71

100

31

89

69

93

24

0

20

40

60

80

100

120

Fitness Center Pool Outdoor Common Area Mixed-Use Property

Summary Statistics of Green vs Non-Green Propertiesn = 153

Green Non-Green

Descriptive

73228

866

2011

74

259

894

2003

0

500

1000

1500

2000

2500

Walk Score Average Number of Units Average Apt Unit Size (sf) Age

Summary Statistics of Green vs Non-Green Properties

n = 153

Green Non-Green

Findings

Total Rents Collected1047

Total Maintenance1254

Property Insurance1319

Total Expenses1311

Higher rents and expenses

Financial Impacts of Green

Dependent Variable Per Square Foot Per Apartment Per PropertyTotal Rents Collected 247$ 2189$ 551683$ Subtotal Maintenance 020$ 178$ 44843$ Property Insurance 005$ 42$ 10601$ Total Expenses 112$ 990$ 249535$

Coefficients Standard Errors

Tables

Summary of Green Impacts

Summary Table

Discussion

bull Assume efficient operations will offset the higher rent

bull Philanthropic motivesbull Prestige motivesbull Green buildings tend to be newermore

likely to offer the more sought-after amenities and finishes

bull Tend to be in higher-income areaslikely have higher rents

Different motivations for paying higher rent may be in

play

Discussion

Higher Operating Expenses a Surprise

Does not align with much of the existing researchhellipbut no research on effects of green certification on total operating expenses within multifamily rental sector

Many of the certifications represented in this study focus on the design phase of the property vs the operations and maintenance phase

And although promotion of sustainability is on the rise in the multifamily housing sector staff may remain unfamiliar with the unique operations and maintenance of green

buildings

Final Thoughts

Apartment homes represent $13 trillion to the US economy and 5 million new rental households are expected by 2023 (National Multifamily Housing Council 2015)

Upfront capital constraints regulatory issues knowledge limitations and marketing concerns may diminish the attractiveness of multifamily rental green building

certification if not properly managed

Most studies focus on office sector andor strictly rents or property value

This study begins to look at the multifamily rental sector and offer a more comprehensive analysis

Further research is needed with larger datasets to understand effects of green certification on income statement components in the apartment industry as NOI

ultimately determines property market valueOptimism that this study can be the impetus for further research contributions on the

financial environmental and resident satisfaction impacts of green practices and certifications on the multifamily rental sector

Contact informationErin A Hopkinserinz1vtedu

Acknowledgementsbull Todd Feist Sustainability Program Manager at The Institute of

Real Estate Management (IREMreg) for his assistance with this research project

bull Yardi and IREMreg for the grant awarded to support this researchbull The two property management companies for sharing their data

BUILDING PERFORMANCE

UNLOCKINGVALUE

New DOE-driven Research Around High Performing Buildings

AUGUST 23 2018

ANDREW WHITEASSOCIATE MANAGERawhiteretechadvisorscom

2015-2016 bull Research design working group pilot study data lab

2017 bull Connect to Real Estate Research Institute (RERI) Literature review and gap analysis

2018 bull Research agenda request for proposals research project selection and execution

Context Setting ndash DOE Research EffortWhat are the impacts of energy efficiency and high-performance building

features on financial performance of commercial real estate

RERIrsquos mission is to encourage and reward research on real estate as an investment and as an asset class that is both academically rigorous and of value to the institutional real estate investment profession In addition RERI serves to provide a forum through which the real estate academic professional and regulatory communities can interact facilitating the exchange of insights amongst these stakeholders

RERI Overview

Sponsors

Build upon DOErsquos Review of Studies in the Market

bull Focus explicitly on peer-reviewed papers Gap analysis of existing research to

identifybull Questions that have already been

sufficiently provenbull Holes in existing body of research

Academic Inputbull Guidance on which studies to includebull Suggestions for how to conduct analysis

Literature Review Objectives

Literature Review Results

LEED

ENER

GY

ST

AR

labe

l

ENER

GY

ST

AR

sc

ore

Ener

gy u

se

BR

EEA

M

Ener

gy

Perf

orm

anc

e Cer

tific

ates

(U

K)

BO

MA

B

EST

Wal

kabi

lity

Non

-ene

rgy

gree

n fe

atur

es

Oth

er

Rent 20 18 1 2 2 2 1 1 1Rent concessions 1 1 1Sales price 9 11 1 1 1 1Assessed value 2 2Market value 1 2 1 2 1Occupancy 10 9 1Lease renewals 1 1 1Service charge 1Operating cost 2 3Energy cost 2 3Tenant satisfaction 1 1 1Sales time 1 1Default rate 2 1Capitalization rate 1 2 2 1Net operating income 1 1 1Loan to value ratio 1 1Debt service coverage ratio 1 1Worker productivity 1 1Other 5 4 1 4 2 2

There is considerable evidence that green building certifications correlate with increased economic value primarily via higher rents and sales prices

bull How do we move beyond certification to analyze performancebull Correlation vs Causation

bull What is driving added value Is it green features and efficiency the green labels themselves or other desirable features often included in certified buildings

Panel studies could help reduce some of the uncertainty and noise Full results presented at ACEEE Summer Study

bull Raising the Rent Premium Moving Green Building Research Beyond Certifications and Rent

bull Cindy Zhu Andrew White Paul Mathew Jeff Deason Philip Coleman

Literature Review Results

Research Agenda Core QuestionldquoHow does ltenergygreen metricgt affect ltfinancial value metricgtrdquo

EnergyGreen Metric

Site energy use or EUI

Source energy use or EUI

Energy cost or costsf

ENERGY STAR score

ENERGY STAR label

Green Building Certification (LEED BOMA 360)

Green Building Certification level (eg LEED Silver Gold)

Financial Value Metric

VacancyOccupancy Sales Price

Leasing Velocity (absorption speed of sales leasing)

Regulatory amp Compliance Risk

Tenant Renewals Insurance (rates ability)

Tenant Satisfaction Default Risk

Rental Income and Rent Concessions Debt Service Coverage Ratio

Marketing Costs Access to Funding

Utility Costs Maintenance OpEx Interest Rates

Obsolescence Reserves

Capitalization Rates

12 proposals received 5 projects selected Criteria

bull Department of Energy goals

bull Impact on Commercial Real Estate (CRE) Industry

bull Feasibility and Interest

bull Quality and Validity

Proposal Reviews

Jim Clayton Avis Devine (York University) and Rogier Holtermans(University of Guelph) Analyzing four types of energy

efficiency interventions on financial components that impact property-level NOI

bull How do interventions impact different aspects of building operations and their subsequent financial impact

Beyond Environmental Building Certification The Impact of Environmental Interventions on Commercial Real Estate Operations

Piet Eichholtz and Nils Kok (Maastricht University) and RogierHoltermans (University of Guelph) Three key questions

bull How is environmental building certification related to commercial building energy consumption

bull How does aging affect the energy consumption of the commercial building stock

bull To what extent do specific energy efficiency investments affect energy consumption in commercial real estate

The Dynamics of Energy Consumption in Commercial Real Estate

Sofia Dermisi Chris Lee and YoungjinChoe (University of Washington) Exploring the effect of disclosure

policies on office building marketability while assessing potential links between market performance of sustainable assets

bull Before and after the disclosure policies while considering market cycles

bull Before and after ENERGY STAR andor LEED certification

Markets included San Francisco Washington DC

Effect of Energy Benchmarking and Disclosure on Office Building Marketability

Dirk Brounen (Tilburg University) and Gianluca Marcato (Reading University) Analyzing the adoption of GRESB within the public real estate markets and

predicting a potential impact of GRESB scores on REIT returns

Sustainable Insights and Public Real Estate Performance GRESB Effects in REIT Markets

Constantine Kontokosta (New York University) Franz Fuerst(Cambridge University) Gary Pivo (University of Arizona) amp Jacob Sagi (UNC Chapel Hill) Utilizing NYC data to empirically model

bull the spread between the premium for labeled (energy efficient) buildings and the cost to retrofit an under-performing building to meet the same standard which will allow us to understand how much of the observed premium is attributable to energy efficiency and how much can be assigned to other perceived benefits (marketing construction quality etc)

bull the hurdle rate for energy retrofit investments using actual audit data and permitted renovation work

Estimating Office and Residential Building Energy Retrofit Hurdle Rates and Risk Arbitrage in Energy Efficiency Investments

Collecting data for continued Data Lab analysis Presenting Research findings

bull Interim research results ndash IPC Research Symposium (October)bull Greenbuild Session (November)bull RERI Research Conference (April)bull Final research results ndash Better Buildings Webinars Summit 2019 (TBA)

Work with DOE case study and data analysis opportunities abound

Next Steps

Paul Mathew

Lawrence Berkeley National Laboratorypamathewlblgov

Paulo Issler

University of California Berkeleypauloisslerberkeleyedu

Erin Hopkins

Virginia Techerinz1vtedu

Andrew White

RE Tech Advisorsawhiteretechadvisorscom

Contact Info

  • Slide Number 1
  • Business Case 20 New Research Around High Performing Buildings
  • Panelists
  • Energy and Default Risk in Commercial Mortgages
  • Paulo Issler
  • Acknowledgements
  • The link between energy and CRE mortgages
  • Approach Impact of energy on default rate
  • Default risk and source EUI (cont)
  • Default risk and source EUI
  • Default risk and source EUI (cont)
  • Default risk and source EUI (cont)
  • What are the impacts on specific loans
  • Case Studies
  • Denver Office ndash energy use and default risk
  • Denver Office ndash energy price and default risk
  • Case Studies ndash summary of risks impacts
  • Case Studies ndash business impact
  • Looking Ahead
  • Looking Ahead ndash our vision
  • Recommendations
  • Slide Number 22
  • Money Matters Exploring the Financial Impacts of Green Certifications in the Multifamily Rental SectorErin A Hopkins PhD CAPS LEED Green AssociateAssistant Professor of Property Management
  • Overview of Research
  • Certifications Represented in Sample
  • Properties by City
  • Descriptive
  • Descriptive
  • Findings
  • Financial Impacts of Green
  • Discussion
  • Discussion
  • Final Thoughts
  • Slide Number 34
  • Slide Number 35
  • Context Setting ndash DOE Research Effort
  • RERI Overview
  • Literature Review Objectives
  • Literature Review Results
  • Literature Review Results
  • Research Agenda Core Question
  • Proposal Reviews
  • Beyond Environmental Building Certification The Impact of Environmental Interventions on Commercial Real Estate Operations
  • The Dynamics of Energy Consumption in Commercial Real Estate
  • Effect of Energy Benchmarking and Disclosure on Office Building Marketability
  • Sustainable Insights and Public Real Estate Performance GRESB Effects in REIT Markets
  • Estimating Office and Residential Building Energy Retrofit Hurdle Rates and Risk Arbitrage in Energy Efficiency Investments
  • Next Steps
  • Contact Info
Y Term ~Bias Estimate EXP estimate Practical Interpretation increasedecrease Std Error DFDen t Ratio Probgt|t| Log(Vacancies amp Rent Loss rentable sf) Log(Total Rents Collected rentable sf) Log(Total Actual Collections rentable sf) Log(Management Fee rentable sf) Log(Total Utilities Rentable sf) Log(MampR rentable sf) Log(Subtotal Maintenance rentable sf) Log(Property Insurance rentable sf) Log(Total All Expenses Rentable sf) Log(NOI Rentable sf) Concessions rentable sf
Log(Vacancies amp Rent Loss rentable sf) Intercept 00893029328 10934118365 934 06116337119 1083785495375 01460072116 08841869197 Green Certified (1=yes 0=no)[Yes] -00318 01047 00991
Log(Vacancies amp Rent Loss rentable sf) Green Certified (1=yes 0=no)[Yes] -0031825668 09686754385 -313 009164153 139931853592 -03472843369 07288994904 Gym (1=yes 0=no)[Yes] 01060 00708 00767
Log(Vacancies amp Rent Loss rentable sf) Gym (1=yes 0=no)[Yes] 01007730854 11060256399 1060 01479591517 1412043780621 0681087207 0496931725 Pool (1=yes 0=no)[Yes] 01126 00089 00131
Log(Vacancies amp Rent Loss rentable sf) Pool (1=yes 0=no)[Yes] 01125884395 11191712315 1192 0113345701 506840641957 09933190097 032527325 Outdoor Common Area (1=yes 0=no)[Yes] 02673 -00803 -00764
Log(Vacancies amp Rent Loss rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 02672618233 13063824429 3064 01690835398 1429144230275 15806495624 01161688791 Walk Score 00102 00065 00066
Log(Vacancies amp Rent Loss rentable sf) Walk Score 00101642302 10102160615 102 00040763935 1219632686439 24934369735 00139912712 of Unfurnished Apartments -00003 -00009 -00008
Log(Vacancies amp Rent Loss rentable sf) of Unfurnished Apartments -0000250981 09997490505 -003 00006011213 142449410245 -04175214322 06769256723 Average Apt Unit Size -00003 -00002 -00002
Log(Vacancies amp Rent Loss rentable sf) Average Apt Unit Size -00002575258 09997425074 -003 00004990119 1315989429881 -05160713681 06066705884 Age -00026 00008 00015
Log(Vacancies amp Rent Loss rentable sf) Age -00026152008 09973882158 -026 00056263988 1391583522195 -04648090107 06427946925 Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00099 00043 00252
Log(Vacancies amp Rent Loss rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00099001013 10099492694 099 0100821633 1384002310718 00981942166 09219201454
Log(Total Rents Collected rentable sf) Intercept 30195696974 204824761253 194825 04164909532 1420770663705 72500246992 0
Log(Total Rents Collected rentable sf) Green Certified (1=yes 0=no)[Yes] 00996165255 11047471944 1047
Hopkins Erin Hopkins Erincant provide a confidencd interval for it
00590542761 1286416575023 16868638818 0094053065
Log(Total Rents Collected rentable sf) Gym (1=yes 0=no)[Yes] 00684081888 10708023088 708 0096210834 1330244953516 07110237581 04783143732
Log(Total Rents Collected rentable sf) Pool (1=yes 0=no)[Yes] 00088712036 10089106694 089 00916333982 708572236354 00968119025 09231490817
Log(Total Rents Collected rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00836597449 09197441505 -803 01126005752 1404546011941 -07429779537 04587359136
Log(Total Rents Collected rentable sf) Walk Score 0006479206 10065002414 065 0002794287 1413201347208 23187331419 00218436949
Log(Total Rents Collected rentable sf) of Unfurnished Apartments -00008678845 0999132492 -009 00003932429 1359586026848 -22069932213 00289920945
Log(Total Rents Collected rentable sf) Average Apt Unit Size -00002078918 09997921298 -002 00003300088 1382568544162 -06299582685 05297616269
Log(Total Rents Collected rentable sf) Age 00008364704 10008368204 008 00037477419 1387794745176 02231931757 08237133506
Log(Total Rents Collected rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00042999624 10043092206 043 0069466499 142786243042 00618998008 09507291881
Log(Total Actual Collections rentable sf) Intercept 30681072891 215011686418 205012 04070110501 1415072794017 75381424868 0
Log(Total Actual Collections rentable sf) Green Certified (1=yes 0=no)[Yes] 00944491888 10990533175 991 00578900924 1291837028308 16315259643 01052148631
Log(Total Actual Collections rentable sf) Gym (1=yes 0=no)[Yes] 00739127176 10767128233 767 0094247393 1335821297113 07842415071 04342868782
Log(Total Actual Collections rentable sf) Pool (1=yes 0=no)[Yes] 00130418887 10131273051 131 00885804441 654593026021 01472321442 08834013324
Log(Total Actual Collections rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00794248992 0923647384 -764 01101507414 1410305976559 -07210564195 04720684016
Log(Total Actual Collections rentable sf) Walk Score 00065530115 10065745295 066 00027272037 14047408887 24028316857 00175745575
Log(Total Actual Collections rentable sf) of Unfurnished Apartments -0000833078 09991672689 -008 00003850262 1365168778586 -21636916411 00322285543
Log(Total Actual Collections rentable sf) Average Apt Unit Size -00002169447 09997830788 -002 00003233576 1393662972101 -06709126047 05033865944
Log(Total Actual Collections rentable sf) Age 00015178151 10015189676 015 0003670824 1398532082324 04134807595 06798877496
Log(Total Actual Collections rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00249154485 10252284322 252 0067842812 1423468871242 03672525904 07139760316
Log(Management Fee rentable sf) Intercept -02128803278 08082528568 -1917 04254329778 585619088893 -0500385111 06186792644
Log(Management Fee rentable sf) Green Certified (1=yes 0=no)[Yes] 0019865513 10200641454 201 00593086525 1354977267554 03349513461 07381797603
Log(Management Fee rentable sf) Gym (1=yes 0=no)[Yes] -00082052627 09918283086 -082 00958032958 1386068833723 -00856469772 09318706455
Log(Management Fee rentable sf) Pool (1=yes 0=no)[Yes] 00174275629 10175803089 176 00771880661 202180965349 02257805358 08236388274
Log(Management Fee rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00153191452 10154370848 154 01103651216 1423896402644 01388042255 08898009734
Log(Management Fee rentable sf) Walk Score 00070459229 10070708039 071 00028008303 805559990921 25156550566 0013868745
Log(Management Fee rentable sf) of Unfurnished Apartments -0001358177 09986427449 -014 00003916726 1421224837061 -34676335479 00006950146
Log(Management Fee rentable sf) Average Apt Unit Size -00005130214 09994871101 -005 00003375961 1007585612206 -15196307445 0131735624
Log(Management Fee rentable sf) Age 00013613923 10013623194 014 00037151697 1277713043957 03664414822 07146417588
Log(Management Fee rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -00674463479 09347778721 -652 00657081953 1299283630266 -10264525997 03065854809
Log(Total Utilities Rentable sf) Intercept -03748562337 06873880949 -3126 04464274077 1402143832266 -08396801522 04025171642
Log(Total Utilities Rentable sf) Green Certified (1=yes 0=no)[Yes] 00873163337 10912418217 912 0064576715 1358457024729 13521334071 01785794114
Log(Total Utilities Rentable sf) Gym (1=yes 0=no)[Yes] 01175979311 11247917766 1248 01048349264 1384172144229 11217438221 02639135776
Log(Total Utilities Rentable sf) Pool (1=yes 0=no)[Yes] 00115680134 10116351816 116 00928512423 72633370166 01245865221 09011950626
Log(Total Utilities Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00222539972 10225034645 225 01216524447 1425571484619 01829309493 0855112103
Log(Total Utilities Rentable sf) Walk Score 00068649233 10068885409 069 00029812807 1396033046894 23026759291 00227754146
Log(Total Utilities Rentable sf) of Unfurnished Apartments -00006773222 09993229071 -007 00004273761 1401067188346 -15848386198 01152575495
Log(Total Utilities Rentable sf) Average Apt Unit Size -00003442022 0999655857 -003 00003581401 1425120147852 -09610825805 03381384619
Log(Total Utilities Rentable sf) Age 00048795122 10048914364 049 00040600929 1425855030198 12018227897 02314244716
Log(Total Utilities Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -01198355423 08870663096 -1129 00742421382 1413320388001 -16141176043 01087323819
Log(MampR rentable sf) Intercept -09030689887 04053238148 -5947 0437858541 1384008312652 -20624674504 00410332652
Log(MampR rentable sf) Green Certified (1=yes 0=no)[Yes] 00937424436 10982768413 983 00639155521 1376081716673 14666609392 01447499128
Log(MampR rentable sf) Gym (1=yes 0=no)[Yes] 00037664885 10037735907 038 01036113865 1396450691334 00363520715 09710535435
Log(MampR rentable sf) Pool (1=yes 0=no)[Yes] 01319613595 11410642271 1411 00887446725 719561267791 14869778183 0141389644
Log(MampR rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00521515872 09491849716 -508 01197720975 1428478988157 -04354235112 06639122497
Log(MampR rentable sf) Walk Score 00110131704 10110740386 111 00029197236 1385662208531 37719907631 00002391344
Log(MampR rentable sf) of Unfurnished Apartments -00008849955 09991153959 -009 00004219429 1410140957414 -20974297602 0037740228
Log(MampR rentable sf) Average Apt Unit Size 00000594506 10000594524 001 0000353075 1429981472006 01683796031 08665225748
Log(MampR rentable sf) Age 0007624822 1007653965 077 00039990018 142990029884 19066812998 00585678315
Log(MampR rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00598131349 10616381449 616 00727173027 1406732379184 08225433659 04121598071
Log(Subtotal Maintenance rentable sf) Intercept -07997344997 04494482769 -5506 0489167182 1380935604874 -16348899298 01043496414
Log(Subtotal Maintenance rentable sf) Green Certified (1=yes 0=no)[Yes] 01180969773 11253532398 1254 00707986514 1348907221481 16680681771 00976219515
Log(Subtotal Maintenance rentable sf) Gym (1=yes 0=no)[Yes] 00409351965 10417845921 418 01148796072 1378640116803 03563312718 07221372278
Log(Subtotal Maintenance rentable sf) Pool (1=yes 0=no)[Yes] 01515780559 11636691295 1637 0100780712 617547240206 15040383505 01376688864
Log(Subtotal Maintenance rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -0078076377 09248937833 -751 01331885868 1426567369893 -05862092154 05586613077
Log(Subtotal Maintenance rentable sf) Walk Score 0011889233 10119601909 120 00032614069 1377504918879 36454307183 00003773801
Log(Subtotal Maintenance rentable sf) of Unfurnished Apartments -00008153416 09991849907 -008 00004682078 1398534995511 -17414095506 00838107083
Log(Subtotal Maintenance rentable sf) Average Apt Unit Size 00005083484 10005084776 005 00003930253 1428434249161 12934242295 01979520949
Log(Subtotal Maintenance rentable sf) Age 00104106727 10104650523 105 00044515054 1428449267664 23386858733 00207383998
Log(Subtotal Maintenance rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 02440298206 12763823925 2764 0081177414 1402563601749 30061295196 00031359748
Log(Property Insurance rentable sf) Intercept -08916874806 04099633635 -5900 04516384713 1429624291993 -19743390727 00502702101
Log(Property Insurance rentable sf) Green Certified (1=yes 0=no)[Yes] 01239058141 11319092561 1319 0062692592 1281678143933 19764027959 00502564371
Log(Property Insurance rentable sf) Gym (1=yes 0=no)[Yes] -0003522638 09964835593 -035 01024969537 1314939748594 -0034368221 09726356404
Log(Property Insurance rentable sf) Pool (1=yes 0=no)[Yes] 00227423743 10230029538 230 01040308572 1125700947624 02186118131 08273482928
Log(Property Insurance rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00155809876 10157030041 157 01206677853 1368483458399 01291230096 08974498986
Log(Property Insurance rentable sf) Walk Score 00072977866 10073244804 073 00030353828 1428602075435 24042392705 00174877086
Log(Property Insurance rentable sf) of Unfurnished Apartments -00010061941 09989943119 -010 0000420017 1337858380697 -23956034086 00179774093
Log(Property Insurance rentable sf) Average Apt Unit Size -00006330482 09993671521 -006 00003514502 1338864329416 -18012458048 0073914725
Log(Property Insurance rentable sf) Age 00009661099 10009665767 010 00039921418 1338497494964 02420028921 08091483095
Log(Property Insurance rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -00520208103 09493091112 -507 00749301111 1411273861679 -06942577501 04886618561
Log(Total All Expenses Rentable sf) Intercept 17410862845 57035357214 47035 03946731547 141889623796 44114636723 00000201648
Log(Total All Expenses Rentable sf) Green Certified (1=yes 0=no)[Yes] 01231722438 11310792255 1311 00565275641 1341244163534 21789766772 00310802733
Log(Total All Expenses Rentable sf) Gym (1=yes 0=no)[Yes] 00096244971 10096709615 097 00919378962 1370603130567 01046847658 09167789899
Log(Total All Expenses Rentable sf) Pool (1=yes 0=no)[Yes] 01610294116 11747195186 1747 00846545666 801516751987 19021940341 00607378863
Log(Total All Expenses Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00361842114 09644626121 -355 01071504659 1418739239709 -03376953252 07360919324
Log(Total All Expenses Rentable sf) Walk Score 00087371658 10087754463 088 00026426023 1411809488418 33062734678 00011989895
Log(Total All Expenses Rentable sf) of Unfurnished Apartments -00008720665 09991283137 -009 00003752966 1389800988186 -23236728617 00215934791
Log(Total All Expenses Rentable sf) Average Apt Unit Size -0000155413 0999844599 -002 00003145108 1409449329598 -0494142052 06219751067
Log(Total All Expenses Rentable sf) Age 00015666155 10015678433 016 00035695206 1412387206124 04388868073 06614142124
Log(Total All Expenses Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00157918953 10159172462 159 00657593447 1424551160559 02401467861 08105616925
Log(NOI Rentable sf) Intercept 27416093787 155119295878 145119 049686036 1426328429735 55178669889 0000000157
Log(NOI Rentable sf) Green Certified (1=yes 0=no)[Yes] 00932241108 10977077159 977 00701671113 1292740226257 13286012361 01863200879
Log(NOI Rentable sf) Gym (1=yes 0=no)[Yes] 0111280688 11177085902 1177 0114413579 13320261997 09726178396 03325061802
Log(NOI Rentable sf) Pool (1=yes 0=no)[Yes] -00608871507 0940929417 -591 01107002034 838263437204 -05500184174 05837693269
Log(NOI Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -01393113526 08699571229 -1300 01340931949 1397855428856 -10389144106 03006382455
Log(NOI Rentable sf) Walk Score 00045000262 10045101666 045 0003337636 1423581725818 13482675372 01797136327
Log(NOI Rentable sf) of Unfurnished Apartments -00007116645 09992885887 -007 00004679272 1358400867851 -15208872073 01306124688
Log(NOI Rentable sf) Average Apt Unit Size -00001937801 09998062387 -002 00003921685 1372175013367 -04941245389 06220083144
Log(NOI Rentable sf) Age 00034607088 1003466704 035 00044548378 1376438770548 07768428318 04385844885
Log(NOI Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00488697769 10500835966 501 00828565286 1429949688826 05898120243 0556247504
Concessions rentable sf Intercept 0091580439 10959049266 959 12772069558 1418541020247 00717036801 09429387231
Concessions rentable sf Green Certified (1=yes 0=no)[Yes] 01110697527 11174728508 1175 01814813765 1293641668833 06120173584 05416004511
Concessions rentable sf Gym (1=yes 0=no)[Yes] -05094051331 06008529 -3991 02955403985 1336296409402 -17236395961 00870857294
Concessions rentable sf Pool (1=yes 0=no)[Yes] -00886152984 09151975838 -848 02791864929 69298361986 -03174053928 07518903943
Concessions rentable sf Outdoor Common Area (1=yes 0=no)[Yes] 04576291372 15803228114 5803 03455726285 1408379747117 13242632646 01875606951
Concessions rentable sf Walk Score 00120688741 10121419968 121 00085630896 1409791646097 14094064916 01609170757
Concessions rentable sf of Unfurnished Apartments -00007045588 09992956894 -007 00012075862 1364744404696 -05834438741 05605574922
Concessions rentable sf Average Apt Unit Size -00003193903 09996806607 -003 00010135961 1389703034326 -03151061148 07531537379
Concessions rentable sf Age 00130223218 10131074815 131 00115086772 139464867267 11315220311 02597773256
Concessions rentable sf Building Mix (0=multifamily 1 = mixed-use)[Mixed] -03719888249 06893619462 -3106 02129597676 1426034459287 -17467563435 00828326573
Y Term Practical Interpretation increasedecrease Probgt|t| Total Rents Collected Subtotal Maintenance Property Insurance Total Expenses
Log(Total Rents Collected rentable sf) Green Certified (1=yes 0=no)[Yes] 1047
Hopkins Erin Hopkins Erincant provide a confidencd interval for it
009 130837635934 13311489362 01847683215 67633617021
Log(Subtotal Maintenance rentable sf) Green Certified (1=yes 0=no)[Yes] 1254 010 267662568114 08839769656 0489370035 133484365708
Log(Property Insurance rentable sf) Green Certified (1=yes 0=no)[Yes] 1319 005 44887430941 07758149459 02417429373 41261056301
Log(Total All Expenses Rentable sf) Green Certified (1=yes 0=no)[Yes] 1311 003 103066299601 12390720963 00474343371 5067818194
206907297628 2385711159 02072356932 9194606526
318766961061 22633758919 04452208547 128154919371
92461669878 09545425866 01280485733 38832017239
143925847783 15966970999 02187893202 54018796992
176714125561 02006495648 02876780533 58992020575
232897515382 0726170332 00787094673 69517596041
Non-green sf average Financial Green Impact sf Financial green impact differencesf Green impactapt Green impactproperty 51780910259 05203453537 00494304264 22609306646
178353784788 17547710996 02048626598 95961490345
Total Rents Collected sf 1047 2356 2603 $ 247 $ 2189 $ 551683 113769814112 12206875575 03432049607 118156743193
Subtotal Maintenance sf 1254 160 180 $ 020 $ 178 $ 44843 301239240258 10561596849 0204970258 110903994641
Property Insurance sf 1319 036 041 $ 005 $ 42 $ 10601 918584487 08376649832 00914663991 4146546939
Total Expenses sf 1311 852 963 $ 112 $ 990 $ 249535 265183769576 19294929362 03500602344 108447158033
226055903548 13557897255 03988791741 10971207244
334894587007 17970717884 05122599181 124640467569
5542518821 31394328066 04875650977 200668786372
112655732059 13445692884 02031297086 43995867235
129139526152 1168069688 00518980213 4651511283
Avg Apt Size Avg of Units 151098478261 13975 02004130435 51873478261
192155046737 21015937064 02616549091 8357602264
887 252 514840434082 52766375656 02375463267 174375582672
81421971535 06694487849 00899424521 2748686222
30246817244 21594341279 03308639536 97277207077
488523197409 27727612187 0646599696 130752346177
318750561687 38903340576 03852711795 142409683793
310384048163 43119745565 03335824966 138846874251
Green Certification Impacts 48578215663 0350218077 03095574205 23695139998
Dependent Variable Per Square Foot Per Apartment Per Property 192237574111 13374121765 02053242615 84027476689
Total Rents Collected $ 247 $ 2189 $ 551683 62979912788 05343191729 00816289996 45390243161
Subtotal Maintenance $ 020 $ 178 $ 44843 148378959661 14651715909 02004049722 80900580942
Property Insurance $ 005 $ 42 $ 10601 196798863889 11267176542 02499920663 90266351433
Total Expenses $ 112 $ 990 $ 249535 281508617823 09686995581 01118170881 119863342059
58584849751 0106864586 04187933949 44180073736
126756167712 1265684516 02796423029 87538414144
176550549412 24957340254 02343899179 88904473415
252421786235 28063734042 03142238564 133776179357
191875932907 13637043757 03440324697 987034902
159508092934 13109374847 02091697013 98967206196
342739845467 09614092295 03929892961 129755936769
192510355167 32804720611 01743191858 134560085596
257829360401 13666691797 01527100011 56329812754
358622391559 14251973427 03437553732 101098436889
217744157919 24046486586 01864745418 68711016642
222112557003 22022148788 07879755849 97807110765
202535763689 04548110217 10003436751 127886698915
155879815194 23816051158 04816227091 119033557201
11066078843 23413202706 06413902496 81812176347
151924709838 18873401649 05711000232 105403544539
163604010853 16052949068 02714509557 82030431823
133974400047 11018949984 03560839935 59096477943
133528448829 13647819036 02538331588 66159357367
187400008959 16889788117 030870974 115752907975
155246293804 18308314258 03852380906 116657595614
34082816218 05447090935 09838411173 13641308574
201220131342 11192465065 03188344246 93786154242
139108532616 13313944086 03887737775 69698295902
191656858207 15717927807 06002115982 119380046581
200921599083 12597596226 03267106334 82474085087
57536742874 00453219212 00300766262 10569757217
120548294116 11607892527 03275736725 74435143659
123188534664 1404028789 03510968138 78762080781
59543029729 0899713372 01652374748 28143456117
144215639215 19193238703 02899837711 67370054173
340046684831 19619729415 04325060698 120608464163
208244777176 28183367899 037 73104355304
234349752613 19432301154 0351134881 107484594815
136370903402 17029933791 01989576534 50899930579
149968383478 14209793679 02735642323 63813718869
81145819519 0920766851 00474564037 30674168785
226307446224 12529424404 02036192613 69235920453
132787305462 08047482453 01232346659 41808605432
251519090044 21798380428 0376480317 80396623551
492269138212 12196979039 02981674812 128316943664
107177195916 08016374211 0113808252 40618650625
128238528886 10751217142 01843492552 6476830365
57582611557 11908427448 0874334536 134004066235
43835651097 34822540694 03904989384 146763800425
205787355386 1429219053 02624404931 5321754079
463148430769 07709353846 06150738462 101617384615
377949548611 28670972222 08296944444 109743576389
360087564176 03501711352 18551055334 110041072447
18371979614 18232783153 07267294459 61184870906
678035276363 13443501226 10431616676 167533484248
56073359244 10138647576 01591318768 51440832304
189431314891 05101557395 03677787459 41010945328
383550342095 23244425576 04086557393 98151764619
115544349685 03310482653 037 40344851625
7552318246 0955023726 01241945851 24368780848
133083101881 19451300341 00938801919 48731378614
122308363087 13760780005 01439989014 45100624828
84908269322 10857071617 01155797799 36082570734
263116048067 10733627163 041902582 60372732395
76183752731 09621126305 01069925907 26170373239
172494454001 11781600332 03919686814 59016193131
342076422068 22741368431 03165622465 73557085549
215534567901 1485497076 02210396361 49118778428
314593058927 23798916958 02751353803 121998559501
586535191691 21029046354 02109026171 91979074439
138093310078 14595490221 02142269839 44286283792
227203645682 04584630891 05737147639 93344680527
572754455737 17713614269 01642228739 92545561671
60603870458 04541110154 01180884676 15902125521
358781017266 33847643857 06854022643 139200146946
342079216629 24477703832 0463059603 67166143833
651201231187 51019950176 12529595849 222094150831
369798669702 21700816928 0444474205 101410502507
421838575952 28823013788 05443272608 151399739597
626095189209 20826275416 04947814184 184651096472
214882899762 25034709712 06359683889 109534721722
274037120739 26718517094 037 67504928595
252667703737 25588590114 05379535858 109041874345
59253832495 01099622961 04620367393 19262874847
150862851538 18053109961 07398729558 71488607075
111196959019 00928417366 037 09427894164
667360269858 07921160191 02989609494 104670639024
2356 160 036 852
Log(Vacancies amp Rent Loss rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified -00318 00916 -00313 07289
Fitness Center 01008 01480 01060 04969
Pool 01126 01133 01192 03253
Outdoor Common Area 02673 01691 03064 01162
Walk Score 00102 00041 00102 00140
of Unfurnished Apartments -00003 00006 -00003 06769
Average Apt Unit Size -00003 00005 -00003 06067
Age -00026 00056 -00026 06428
Building Mix 00099 01008 00099 09219
Note R2 = 645
Log(Total Rents Collected rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00996 00591 01047 00941
Fitness Center 00684 00962 00708 04783
Pool 00089 00916 00089 09231
Outdoor Common Area -00837 01126 -00803 04587
Walk Score 00065 00028 00065 00218
of Unfurnished Apartments -00009 00004 -00009 00290
Average Apt Unit Size -00002 00003 -00002 05298
Age 00008 00037 00008 08237
Building Mix 00043 00695 00043 09507
Note R2 = 3318
Log(Total Actual Collections rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00944 00579 00991 01052
Fitness Center 00739 00942 00767 04343
Pool 00130 00886 00131 08834
Outdoor Common Area -00794 01102 -00764 04721
Walk Score 00066 00027 00066 00176
of Unfurnished Apartments -00008 00004 -00008 00322
Average Apt Unit Size -00002 00003 -00002 05034
Age 00015 00037 00015 06799
Building Mix 00249 00678 00252 07140
Note R2 = 3219
Log(Management Fee rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00199 00593 00201 07382
Fitness Center -00082 00958 -00082 09319
Pool 00174 00772 00176 08236
Outdoor Common Area 00153 01104 00154 08898
Walk Score 00070 00028 00071 00139
of Unfurnished Apartments -00014 00004 -00014 00007
Average Apt Unit Size -00005 00003 -00005 01317
Age 00014 00037 00014 07146
Building Mix -00674 00657 -00652 03066
Note R2 = 1697
Log(Total Utilities Rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00873 00646 00912 01786
Fitness Center 01176 01048 01248 02639
Pool 00116 00929 00116 09012
Outdoor Common Area 00223 01217 00225 08551
Walk Score 00069 00030 00069 00228
of Unfurnished Apartments -00007 00004 -00007 01153
Average Apt Unit Size -00003 00004 -00003 03381
Age 00049 00041 00049 02314
Building Mix -01198 00742 -01129 01087
Note R2 = 2171
Log(MampR rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00937 00639 00983 01447
Fitness Center 00038 01036 00038 09711
Pool 01320 00887 01411 01414
Outdoor Common Area -00522 01198 -00508 06639
Walk Score 00110 00029 00111 00002
of Unfurnished Apartments -00009 00004 -00009 00377
Average Apt Unit Size 00001 00004 00001 08665
Age 00076 00040 00077 00586
Building Mix 00598 00727 00616 04122
Note R2 = 2620
Log(Subtotal Maintenance rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 01181 00708 01254 00976
Fitness Center 00409 01149 00418 07221
Pool 01516 01008 01637 01377
Outdoor Common Area -00781 01332 -00751 05587
Walk Score 00119 00033 00120 00004
of Unfurnished Apartments -00008 00005 -00008 00838
Average Apt Unit Size 00005 00004 00005 01980
Age 00104 00045 00105 00207
Building Mix 02440 00812 02764 00031
Note R2 = 3218
Log(Property Insurance rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 01239 00627 01319 00503
Fitness Center -00035 01025 -00035 09726
Pool 00227 01040 00230 08273
Outdoor Common Area 00156 01207 00157 08974
Walk Score 00073 00030 00073 00175
of Unfurnished Apartments -00010 00004 -00010 00180
Average Apt Unit Size -00006 00004 -00006 00739
Age 00010 00040 00010 08091
Building Mix -00520 00749 -00507 04887
Note R2 = 3902
Log(Total All Expenses Rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 01232 00565 01311 00311
Fitness Center 00096 00919 00097 09168
Pool 01610 00847 01747 00607
Outdoor Common Area -00362 01072 -00355 07361
Walk Score 00087 00026 00088 00012
of Unfurnished Apartments -00009 00004 -00009 00216
Average Apt Unit Size -00002 00003 -00002 06220
Age 00016 00036 00016 06614
Building Mix 00158 00658 00159 08106
Note R2 = 2943
Log(NOI Rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00932 00702 00977 01863
Fitness Center 01113 01144 01177 03325
Pool -00609 01107 -00591 05838
Outdoor Common Area -01393 01341 -01300 03006
Walk Score 00045 00033 00045 01797
of Unfurnished Apartments -00007 00005 -00007 01306
Average Apt Unit Size -00002 00004 -00002 06220
Age 00035 00045 00035 04386
Building Mix 00489 00829 00501 05562
Note R2 = 3669
Concessions rentable sf
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 01111 01815 01175 05416
Fitness Center -05094 02955 -03991 00871
Pool -00886 02792 -00848 07519
Outdoor Common Area 04576 03456 05803 01876
Walk Score 00121 00086 00121 01609
of Unfurnished Apartments -00007 00012 -00007 05606
Average Apt Unit Size -00003 00010 -00003 07532
Age 00130 00115 00131 02598
Building Mix -03720 02130 -03106 00828
Note R2 = 2402
Y Term ~Bias Estimate EXP estimate Practical Interpretation increasedecrease Std Error DFDen t Ratio Probgt|t| Estimate Std Error Practical Interpretation Significance
Log(Vacancies amp Rent Loss rentable sf) Intercept 00893029328 10934118365 934 06116337119 1083785495375 01460072116 08841869197 Green Cert
Log(Vacancies amp Rent Loss rentable sf) Green Certified (1=yes 0=no)[Yes] -0031825668 09686754385 -313 009164153 139931853592 -03472843369 07288994904 Gym
Log(Vacancies amp Rent Loss rentable sf) Gym (1=yes 0=no)[Yes] 01007730854 11060256399 1060 01479591517 1412043780621 0681087207 0496931725
Log(Vacancies amp Rent Loss rentable sf) Pool (1=yes 0=no)[Yes] 01125884395 11191712315 1192 0113345701 506840641957 09933190097 032527325
Log(Vacancies amp Rent Loss rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 02672618233 13063824429 3064 01690835398 1429144230275 15806495624 01161688791
Log(Vacancies amp Rent Loss rentable sf) Walk Score 00101642302 10102160615 102 00040763935 1219632686439 24934369735 00139912712
Log(Vacancies amp Rent Loss rentable sf) of Unfurnished Apartments -0000250981 09997490505 -003 00006011213 142449410245 -04175214322 06769256723
Log(Vacancies amp Rent Loss rentable sf) Average Apt Unit Size -00002575258 09997425074 -003 00004990119 1315989429881 -05160713681 06066705884
Log(Vacancies amp Rent Loss rentable sf) Age -00026152008 09973882158 -026 00056263988 1391583522195 -04648090107 06427946925
Log(Vacancies amp Rent Loss rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00099001013 10099492694 099 0100821633 1384002310718 00981942166 09219201454
Log(Total Rents Collected rentable sf) Intercept 30195696974 204824761253 194825 04164909532 1420770663705 72500246992 0
Log(Total Rents Collected rentable sf) Green Certified (1=yes 0=no)[Yes] 00996165255 11047471944 1047
Hopkins Erin Hopkins Erincant provide a confidencd interval for it
00590542761 1286416575023 16868638818 0094053065 0099617 00590542761 1047
Log(Total Rents Collected rentable sf) Gym (1=yes 0=no)[Yes] 00684081888 10708023088 708 0096210834 1330244953516 07110237581 04783143732
Log(Total Rents Collected rentable sf) Pool (1=yes 0=no)[Yes] 00088712036 10089106694 089 00916333982 708572236354 00968119025 09231490817
Log(Total Rents Collected rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00836597449 09197441505 -803 01126005752 1404546011941 -07429779537 04587359136
Log(Total Rents Collected rentable sf) Walk Score 0006479206 10065002414 065 0002794287 1413201347208 23187331419 00218436949
Log(Total Rents Collected rentable sf) of Unfurnished Apartments -00008678845 0999132492 -009 00003932429 1359586026848 -22069932213 00289920945 variance components to talk about how much of the total error that is attribuatle to city
Log(Total Rents Collected rentable sf) Average Apt Unit Size -00002078918 09997921298 -002 00003300088 1382568544162 -06299582685 05297616269
Log(Total Rents Collected rentable sf) Age 00008364704 10008368204 008 00037477419 1387794745176 02231931757 08237133506
Log(Total Rents Collected rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00042999624 10043092206 043 0069466499 142786243042 00618998008 09507291881
Log(Total Actual Collections rentable sf) Intercept 30681072891 215011686418 205012 04070110501 1415072794017 75381424868 0
Log(Total Actual Collections rentable sf) Green Certified (1=yes 0=no)[Yes] 00944491888 10990533175 991 00578900924 1291837028308 16315259643 01052148631
Log(Total Actual Collections rentable sf) Gym (1=yes 0=no)[Yes] 00739127176 10767128233 767 0094247393 1335821297113 07842415071 04342868782
Log(Total Actual Collections rentable sf) Pool (1=yes 0=no)[Yes] 00130418887 10131273051 131 00885804441 654593026021 01472321442 08834013324
Log(Total Actual Collections rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00794248992 0923647384 -764 01101507414 1410305976559 -07210564195 04720684016
Log(Total Actual Collections rentable sf) Walk Score 00065530115 10065745295 066 00027272037 14047408887 24028316857 00175745575
Log(Total Actual Collections rentable sf) of Unfurnished Apartments -0000833078 09991672689 -008 00003850262 1365168778586 -21636916411 00322285543
Log(Total Actual Collections rentable sf) Average Apt Unit Size -00002169447 09997830788 -002 00003233576 1393662972101 -06709126047 05033865944
Log(Total Actual Collections rentable sf) Age 00015178151 10015189676 015 0003670824 1398532082324 04134807595 06798877496
Log(Total Actual Collections rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00249154485 10252284322 252 0067842812 1423468871242 03672525904 07139760316
Log(Management Fee rentable sf) Intercept -02128803278 08082528568 -1917 04254329778 585619088893 -0500385111 06186792644
Log(Management Fee rentable sf) Green Certified (1=yes 0=no)[Yes] 0019865513 10200641454 201 00593086525 1354977267554 03349513461 07381797603
Log(Management Fee rentable sf) Gym (1=yes 0=no)[Yes] -00082052627 09918283086 -082 00958032958 1386068833723 -00856469772 09318706455
Log(Management Fee rentable sf) Pool (1=yes 0=no)[Yes] 00174275629 10175803089 176 00771880661 202180965349 02257805358 08236388274
Log(Management Fee rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00153191452 10154370848 154 01103651216 1423896402644 01388042255 08898009734
Log(Management Fee rentable sf) Walk Score 00070459229 10070708039 071 00028008303 805559990921 25156550566 0013868745
Log(Management Fee rentable sf) of Unfurnished Apartments -0001358177 09986427449 -014 00003916726 1421224837061 -34676335479 00006950146
Log(Management Fee rentable sf) Average Apt Unit Size -00005130214 09994871101 -005 00003375961 1007585612206 -15196307445 0131735624
Log(Management Fee rentable sf) Age 00013613923 10013623194 014 00037151697 1277713043957 03664414822 07146417588
Log(Management Fee rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -00674463479 09347778721 -652 00657081953 1299283630266 -10264525997 03065854809
Log(Total Utilities Rentable sf) Intercept -03748562337 06873880949 -3126 04464274077 1402143832266 -08396801522 04025171642
Log(Total Utilities Rentable sf) Green Certified (1=yes 0=no)[Yes] 00873163337 10912418217 912 0064576715 1358457024729 13521334071 01785794114
Log(Total Utilities Rentable sf) Gym (1=yes 0=no)[Yes] 01175979311 11247917766 1248 01048349264 1384172144229 11217438221 02639135776
Log(Total Utilities Rentable sf) Pool (1=yes 0=no)[Yes] 00115680134 10116351816 116 00928512423 72633370166 01245865221 09011950626
Log(Total Utilities Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00222539972 10225034645 225 01216524447 1425571484619 01829309493 0855112103
Log(Total Utilities Rentable sf) Walk Score 00068649233 10068885409 069 00029812807 1396033046894 23026759291 00227754146
Log(Total Utilities Rentable sf) of Unfurnished Apartments -00006773222 09993229071 -007 00004273761 1401067188346 -15848386198 01152575495
Log(Total Utilities Rentable sf) Average Apt Unit Size -00003442022 0999655857 -003 00003581401 1425120147852 -09610825805 03381384619
Log(Total Utilities Rentable sf) Age 00048795122 10048914364 049 00040600929 1425855030198 12018227897 02314244716
Log(Total Utilities Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -01198355423 08870663096 -1129 00742421382 1413320388001 -16141176043 01087323819
Log(MampR rentable sf) Intercept -09030689887 04053238148 -5947 0437858541 1384008312652 -20624674504 00410332652
Log(MampR rentable sf) Green Certified (1=yes 0=no)[Yes] 00937424436 10982768413 983 00639155521 1376081716673 14666609392 01447499128
Log(MampR rentable sf) Gym (1=yes 0=no)[Yes] 00037664885 10037735907 038 01036113865 1396450691334 00363520715 09710535435
Log(MampR rentable sf) Pool (1=yes 0=no)[Yes] 01319613595 11410642271 1411 00887446725 719561267791 14869778183 0141389644
Log(MampR rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00521515872 09491849716 -508 01197720975 1428478988157 -04354235112 06639122497
Log(MampR rentable sf) Walk Score 00110131704 10110740386 111 00029197236 1385662208531 37719907631 00002391344
Log(MampR rentable sf) of Unfurnished Apartments -00008849955 09991153959 -009 00004219429 1410140957414 -20974297602 0037740228
Log(MampR rentable sf) Average Apt Unit Size 00000594506 10000594524 001 0000353075 1429981472006 01683796031 08665225748
Log(MampR rentable sf) Age 0007624822 1007653965 077 00039990018 142990029884 19066812998 00585678315
Log(MampR rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00598131349 10616381449 616 00727173027 1406732379184 08225433659 04121598071
Log(Subtotal Maintenance rentable sf) Intercept -07997344997 04494482769 -5506 0489167182 1380935604874 -16348899298 01043496414
Log(Subtotal Maintenance rentable sf) Green Certified (1=yes 0=no)[Yes] 01180969773 11253532398 1254 00707986514 1348907221481 16680681771 00976219515
Log(Subtotal Maintenance rentable sf) Gym (1=yes 0=no)[Yes] 00409351965 10417845921 418 01148796072 1378640116803 03563312718 07221372278
Log(Subtotal Maintenance rentable sf) Pool (1=yes 0=no)[Yes] 01515780559 11636691295 1637 0100780712 617547240206 15040383505 01376688864
Log(Subtotal Maintenance rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -0078076377 09248937833 -751 01331885868 1426567369893 -05862092154 05586613077
Log(Subtotal Maintenance rentable sf) Walk Score 0011889233 10119601909 120 00032614069 1377504918879 36454307183 00003773801
Log(Subtotal Maintenance rentable sf) of Unfurnished Apartments -00008153416 09991849907 -008 00004682078 1398534995511 -17414095506 00838107083
Log(Subtotal Maintenance rentable sf) Average Apt Unit Size 00005083484 10005084776 005 00003930253 1428434249161 12934242295 01979520949
Log(Subtotal Maintenance rentable sf) Age 00104106727 10104650523 105 00044515054 1428449267664 23386858733 00207383998
Log(Subtotal Maintenance rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 02440298206 12763823925 2764 0081177414 1402563601749 30061295196 00031359748
Log(Property Insurance rentable sf) Intercept -08916874806 04099633635 -5900 04516384713 1429624291993 -19743390727 00502702101
Log(Property Insurance rentable sf) Green Certified (1=yes 0=no)[Yes] 01239058141 11319092561 1319 0062692592 1281678143933 19764027959 00502564371
Log(Property Insurance rentable sf) Gym (1=yes 0=no)[Yes] -0003522638 09964835593 -035 01024969537 1314939748594 -0034368221 09726356404
Log(Property Insurance rentable sf) Pool (1=yes 0=no)[Yes] 00227423743 10230029538 230 01040308572 1125700947624 02186118131 08273482928
Log(Property Insurance rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00155809876 10157030041 157 01206677853 1368483458399 01291230096 08974498986
Log(Property Insurance rentable sf) Walk Score 00072977866 10073244804 073 00030353828 1428602075435 24042392705 00174877086
Log(Property Insurance rentable sf) of Unfurnished Apartments -00010061941 09989943119 -010 0000420017 1337858380697 -23956034086 00179774093
Log(Property Insurance rentable sf) Average Apt Unit Size -00006330482 09993671521 -006 00003514502 1338864329416 -18012458048 0073914725
Log(Property Insurance rentable sf) Age 00009661099 10009665767 010 00039921418 1338497494964 02420028921 08091483095
Log(Property Insurance rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -00520208103 09493091112 -507 00749301111 1411273861679 -06942577501 04886618561
Log(Total All Expenses Rentable sf) Intercept 17410862845 57035357214 47035 03946731547 141889623796 44114636723 00000201648
Log(Total All Expenses Rentable sf) Green Certified (1=yes 0=no)[Yes] 01231722438 11310792255 1311 00565275641 1341244163534 21789766772 00310802733
Log(Total All Expenses Rentable sf) Gym (1=yes 0=no)[Yes] 00096244971 10096709615 097 00919378962 1370603130567 01046847658 09167789899
Log(Total All Expenses Rentable sf) Pool (1=yes 0=no)[Yes] 01610294116 11747195186 1747 00846545666 801516751987 19021940341 00607378863
Log(Total All Expenses Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00361842114 09644626121 -355 01071504659 1418739239709 -03376953252 07360919324
Log(Total All Expenses Rentable sf) Walk Score 00087371658 10087754463 088 00026426023 1411809488418 33062734678 00011989895
Log(Total All Expenses Rentable sf) of Unfurnished Apartments -00008720665 09991283137 -009 00003752966 1389800988186 -23236728617 00215934791
Log(Total All Expenses Rentable sf) Average Apt Unit Size -0000155413 0999844599 -002 00003145108 1409449329598 -0494142052 06219751067
Log(Total All Expenses Rentable sf) Age 00015666155 10015678433 016 00035695206 1412387206124 04388868073 06614142124
Log(Total All Expenses Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00157918953 10159172462 159 00657593447 1424551160559 02401467861 08105616925
Log(NOI Rentable sf) Intercept 27416093787 155119295878 145119 049686036 1426328429735 55178669889 0000000157
Log(NOI Rentable sf) Green Certified (1=yes 0=no)[Yes] 00932241108 10977077159 977 00701671113 1292740226257 13286012361 01863200879
Log(NOI Rentable sf) Gym (1=yes 0=no)[Yes] 0111280688 11177085902 1177 0114413579 13320261997 09726178396 03325061802
Log(NOI Rentable sf) Pool (1=yes 0=no)[Yes] -00608871507 0940929417 -591 01107002034 838263437204 -05500184174 05837693269
Log(NOI Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -01393113526 08699571229 -1300 01340931949 1397855428856 -10389144106 03006382455
Log(NOI Rentable sf) Walk Score 00045000262 10045101666 045 0003337636 1423581725818 13482675372 01797136327
Log(NOI Rentable sf) of Unfurnished Apartments -00007116645 09992885887 -007 00004679272 1358400867851 -15208872073 01306124688
Log(NOI Rentable sf) Average Apt Unit Size -00001937801 09998062387 -002 00003921685 1372175013367 -04941245389 06220083144
Log(NOI Rentable sf) Age 00034607088 1003466704 035 00044548378 1376438770548 07768428318 04385844885
Log(NOI Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00488697769 10500835966 501 00828565286 1429949688826 05898120243 0556247504
Concessions rentable sf Intercept 0091580439 10959049266 959 12772069558 1418541020247 00717036801 09429387231
Concessions rentable sf Green Certified (1=yes 0=no)[Yes] 01110697527 11174728508 1175 01814813765 1293641668833 06120173584 05416004511
Concessions rentable sf Gym (1=yes 0=no)[Yes] -05094051331 06008529 -3991 02955403985 1336296409402 -17236395961 00870857294
Concessions rentable sf Pool (1=yes 0=no)[Yes] -00886152984 09151975838 -848 02791864929 69298361986 -03174053928 07518903943
Concessions rentable sf Outdoor Common Area (1=yes 0=no)[Yes] 04576291372 15803228114 5803 03455726285 1408379747117 13242632646 01875606951
Concessions rentable sf Walk Score 00120688741 10121419968 121 00085630896 1409791646097 14094064916 01609170757
Concessions rentable sf of Unfurnished Apartments -00007045588 09992956894 -007 00012075862 1364744404696 -05834438741 05605574922
Concessions rentable sf Average Apt Unit Size -00003193903 09996806607 -003 00010135961 1389703034326 -03151061148 07531537379
Concessions rentable sf Age 00130223218 10131074815 131 00115086772 139464867267 11315220311 02597773256
Concessions rentable sf Building Mix (0=multifamily 1 = mixed-use)[Mixed] -03719888249 06893619462 -3106 02129597676 1426034459287 -17467563435 00828326573
Page 26: AUGUST 21- 23, 2018 • CLEVELAND, OHIO€¦ · Business Case 2.0: New Research Around High Performing Buildings Thursday 23 rd, 2018 10:30am – 12:00pm

Properties by City

2

4

2 2 21 1

3

1 1 12 2

1 1 1

6

1 1

8

11

4

6

14

3

1

19

3

1 1

7

43

2

9

18

2 2

0

2

4

6

8

10

12

14

16

18

20

Summary Statistics of City Datan=153

Summary Satistics of City Data Green Bldgs Summary Satistics of City Data Non-Green Comparables

Descriptive

97

71

100

31

89

69

93

24

0

20

40

60

80

100

120

Fitness Center Pool Outdoor Common Area Mixed-Use Property

Summary Statistics of Green vs Non-Green Propertiesn = 153

Green Non-Green

Descriptive

73228

866

2011

74

259

894

2003

0

500

1000

1500

2000

2500

Walk Score Average Number of Units Average Apt Unit Size (sf) Age

Summary Statistics of Green vs Non-Green Properties

n = 153

Green Non-Green

Findings

Total Rents Collected1047

Total Maintenance1254

Property Insurance1319

Total Expenses1311

Higher rents and expenses

Financial Impacts of Green

Dependent Variable Per Square Foot Per Apartment Per PropertyTotal Rents Collected 247$ 2189$ 551683$ Subtotal Maintenance 020$ 178$ 44843$ Property Insurance 005$ 42$ 10601$ Total Expenses 112$ 990$ 249535$

Coefficients Standard Errors

Tables

Summary of Green Impacts

Summary Table

Discussion

bull Assume efficient operations will offset the higher rent

bull Philanthropic motivesbull Prestige motivesbull Green buildings tend to be newermore

likely to offer the more sought-after amenities and finishes

bull Tend to be in higher-income areaslikely have higher rents

Different motivations for paying higher rent may be in

play

Discussion

Higher Operating Expenses a Surprise

Does not align with much of the existing researchhellipbut no research on effects of green certification on total operating expenses within multifamily rental sector

Many of the certifications represented in this study focus on the design phase of the property vs the operations and maintenance phase

And although promotion of sustainability is on the rise in the multifamily housing sector staff may remain unfamiliar with the unique operations and maintenance of green

buildings

Final Thoughts

Apartment homes represent $13 trillion to the US economy and 5 million new rental households are expected by 2023 (National Multifamily Housing Council 2015)

Upfront capital constraints regulatory issues knowledge limitations and marketing concerns may diminish the attractiveness of multifamily rental green building

certification if not properly managed

Most studies focus on office sector andor strictly rents or property value

This study begins to look at the multifamily rental sector and offer a more comprehensive analysis

Further research is needed with larger datasets to understand effects of green certification on income statement components in the apartment industry as NOI

ultimately determines property market valueOptimism that this study can be the impetus for further research contributions on the

financial environmental and resident satisfaction impacts of green practices and certifications on the multifamily rental sector

Contact informationErin A Hopkinserinz1vtedu

Acknowledgementsbull Todd Feist Sustainability Program Manager at The Institute of

Real Estate Management (IREMreg) for his assistance with this research project

bull Yardi and IREMreg for the grant awarded to support this researchbull The two property management companies for sharing their data

BUILDING PERFORMANCE

UNLOCKINGVALUE

New DOE-driven Research Around High Performing Buildings

AUGUST 23 2018

ANDREW WHITEASSOCIATE MANAGERawhiteretechadvisorscom

2015-2016 bull Research design working group pilot study data lab

2017 bull Connect to Real Estate Research Institute (RERI) Literature review and gap analysis

2018 bull Research agenda request for proposals research project selection and execution

Context Setting ndash DOE Research EffortWhat are the impacts of energy efficiency and high-performance building

features on financial performance of commercial real estate

RERIrsquos mission is to encourage and reward research on real estate as an investment and as an asset class that is both academically rigorous and of value to the institutional real estate investment profession In addition RERI serves to provide a forum through which the real estate academic professional and regulatory communities can interact facilitating the exchange of insights amongst these stakeholders

RERI Overview

Sponsors

Build upon DOErsquos Review of Studies in the Market

bull Focus explicitly on peer-reviewed papers Gap analysis of existing research to

identifybull Questions that have already been

sufficiently provenbull Holes in existing body of research

Academic Inputbull Guidance on which studies to includebull Suggestions for how to conduct analysis

Literature Review Objectives

Literature Review Results

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Rent 20 18 1 2 2 2 1 1 1Rent concessions 1 1 1Sales price 9 11 1 1 1 1Assessed value 2 2Market value 1 2 1 2 1Occupancy 10 9 1Lease renewals 1 1 1Service charge 1Operating cost 2 3Energy cost 2 3Tenant satisfaction 1 1 1Sales time 1 1Default rate 2 1Capitalization rate 1 2 2 1Net operating income 1 1 1Loan to value ratio 1 1Debt service coverage ratio 1 1Worker productivity 1 1Other 5 4 1 4 2 2

There is considerable evidence that green building certifications correlate with increased economic value primarily via higher rents and sales prices

bull How do we move beyond certification to analyze performancebull Correlation vs Causation

bull What is driving added value Is it green features and efficiency the green labels themselves or other desirable features often included in certified buildings

Panel studies could help reduce some of the uncertainty and noise Full results presented at ACEEE Summer Study

bull Raising the Rent Premium Moving Green Building Research Beyond Certifications and Rent

bull Cindy Zhu Andrew White Paul Mathew Jeff Deason Philip Coleman

Literature Review Results

Research Agenda Core QuestionldquoHow does ltenergygreen metricgt affect ltfinancial value metricgtrdquo

EnergyGreen Metric

Site energy use or EUI

Source energy use or EUI

Energy cost or costsf

ENERGY STAR score

ENERGY STAR label

Green Building Certification (LEED BOMA 360)

Green Building Certification level (eg LEED Silver Gold)

Financial Value Metric

VacancyOccupancy Sales Price

Leasing Velocity (absorption speed of sales leasing)

Regulatory amp Compliance Risk

Tenant Renewals Insurance (rates ability)

Tenant Satisfaction Default Risk

Rental Income and Rent Concessions Debt Service Coverage Ratio

Marketing Costs Access to Funding

Utility Costs Maintenance OpEx Interest Rates

Obsolescence Reserves

Capitalization Rates

12 proposals received 5 projects selected Criteria

bull Department of Energy goals

bull Impact on Commercial Real Estate (CRE) Industry

bull Feasibility and Interest

bull Quality and Validity

Proposal Reviews

Jim Clayton Avis Devine (York University) and Rogier Holtermans(University of Guelph) Analyzing four types of energy

efficiency interventions on financial components that impact property-level NOI

bull How do interventions impact different aspects of building operations and their subsequent financial impact

Beyond Environmental Building Certification The Impact of Environmental Interventions on Commercial Real Estate Operations

Piet Eichholtz and Nils Kok (Maastricht University) and RogierHoltermans (University of Guelph) Three key questions

bull How is environmental building certification related to commercial building energy consumption

bull How does aging affect the energy consumption of the commercial building stock

bull To what extent do specific energy efficiency investments affect energy consumption in commercial real estate

The Dynamics of Energy Consumption in Commercial Real Estate

Sofia Dermisi Chris Lee and YoungjinChoe (University of Washington) Exploring the effect of disclosure

policies on office building marketability while assessing potential links between market performance of sustainable assets

bull Before and after the disclosure policies while considering market cycles

bull Before and after ENERGY STAR andor LEED certification

Markets included San Francisco Washington DC

Effect of Energy Benchmarking and Disclosure on Office Building Marketability

Dirk Brounen (Tilburg University) and Gianluca Marcato (Reading University) Analyzing the adoption of GRESB within the public real estate markets and

predicting a potential impact of GRESB scores on REIT returns

Sustainable Insights and Public Real Estate Performance GRESB Effects in REIT Markets

Constantine Kontokosta (New York University) Franz Fuerst(Cambridge University) Gary Pivo (University of Arizona) amp Jacob Sagi (UNC Chapel Hill) Utilizing NYC data to empirically model

bull the spread between the premium for labeled (energy efficient) buildings and the cost to retrofit an under-performing building to meet the same standard which will allow us to understand how much of the observed premium is attributable to energy efficiency and how much can be assigned to other perceived benefits (marketing construction quality etc)

bull the hurdle rate for energy retrofit investments using actual audit data and permitted renovation work

Estimating Office and Residential Building Energy Retrofit Hurdle Rates and Risk Arbitrage in Energy Efficiency Investments

Collecting data for continued Data Lab analysis Presenting Research findings

bull Interim research results ndash IPC Research Symposium (October)bull Greenbuild Session (November)bull RERI Research Conference (April)bull Final research results ndash Better Buildings Webinars Summit 2019 (TBA)

Work with DOE case study and data analysis opportunities abound

Next Steps

Paul Mathew

Lawrence Berkeley National Laboratorypamathewlblgov

Paulo Issler

University of California Berkeleypauloisslerberkeleyedu

Erin Hopkins

Virginia Techerinz1vtedu

Andrew White

RE Tech Advisorsawhiteretechadvisorscom

Contact Info

  • Slide Number 1
  • Business Case 20 New Research Around High Performing Buildings
  • Panelists
  • Energy and Default Risk in Commercial Mortgages
  • Paulo Issler
  • Acknowledgements
  • The link between energy and CRE mortgages
  • Approach Impact of energy on default rate
  • Default risk and source EUI (cont)
  • Default risk and source EUI
  • Default risk and source EUI (cont)
  • Default risk and source EUI (cont)
  • What are the impacts on specific loans
  • Case Studies
  • Denver Office ndash energy use and default risk
  • Denver Office ndash energy price and default risk
  • Case Studies ndash summary of risks impacts
  • Case Studies ndash business impact
  • Looking Ahead
  • Looking Ahead ndash our vision
  • Recommendations
  • Slide Number 22
  • Money Matters Exploring the Financial Impacts of Green Certifications in the Multifamily Rental SectorErin A Hopkins PhD CAPS LEED Green AssociateAssistant Professor of Property Management
  • Overview of Research
  • Certifications Represented in Sample
  • Properties by City
  • Descriptive
  • Descriptive
  • Findings
  • Financial Impacts of Green
  • Discussion
  • Discussion
  • Final Thoughts
  • Slide Number 34
  • Slide Number 35
  • Context Setting ndash DOE Research Effort
  • RERI Overview
  • Literature Review Objectives
  • Literature Review Results
  • Literature Review Results
  • Research Agenda Core Question
  • Proposal Reviews
  • Beyond Environmental Building Certification The Impact of Environmental Interventions on Commercial Real Estate Operations
  • The Dynamics of Energy Consumption in Commercial Real Estate
  • Effect of Energy Benchmarking and Disclosure on Office Building Marketability
  • Sustainable Insights and Public Real Estate Performance GRESB Effects in REIT Markets
  • Estimating Office and Residential Building Energy Retrofit Hurdle Rates and Risk Arbitrage in Energy Efficiency Investments
  • Next Steps
  • Contact Info
Y Term ~Bias Estimate EXP estimate Practical Interpretation increasedecrease Std Error DFDen t Ratio Probgt|t| Log(Vacancies amp Rent Loss rentable sf) Log(Total Rents Collected rentable sf) Log(Total Actual Collections rentable sf) Log(Management Fee rentable sf) Log(Total Utilities Rentable sf) Log(MampR rentable sf) Log(Subtotal Maintenance rentable sf) Log(Property Insurance rentable sf) Log(Total All Expenses Rentable sf) Log(NOI Rentable sf) Concessions rentable sf
Log(Vacancies amp Rent Loss rentable sf) Intercept 00893029328 10934118365 934 06116337119 1083785495375 01460072116 08841869197 Green Certified (1=yes 0=no)[Yes] -00318 01047 00991
Log(Vacancies amp Rent Loss rentable sf) Green Certified (1=yes 0=no)[Yes] -0031825668 09686754385 -313 009164153 139931853592 -03472843369 07288994904 Gym (1=yes 0=no)[Yes] 01060 00708 00767
Log(Vacancies amp Rent Loss rentable sf) Gym (1=yes 0=no)[Yes] 01007730854 11060256399 1060 01479591517 1412043780621 0681087207 0496931725 Pool (1=yes 0=no)[Yes] 01126 00089 00131
Log(Vacancies amp Rent Loss rentable sf) Pool (1=yes 0=no)[Yes] 01125884395 11191712315 1192 0113345701 506840641957 09933190097 032527325 Outdoor Common Area (1=yes 0=no)[Yes] 02673 -00803 -00764
Log(Vacancies amp Rent Loss rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 02672618233 13063824429 3064 01690835398 1429144230275 15806495624 01161688791 Walk Score 00102 00065 00066
Log(Vacancies amp Rent Loss rentable sf) Walk Score 00101642302 10102160615 102 00040763935 1219632686439 24934369735 00139912712 of Unfurnished Apartments -00003 -00009 -00008
Log(Vacancies amp Rent Loss rentable sf) of Unfurnished Apartments -0000250981 09997490505 -003 00006011213 142449410245 -04175214322 06769256723 Average Apt Unit Size -00003 -00002 -00002
Log(Vacancies amp Rent Loss rentable sf) Average Apt Unit Size -00002575258 09997425074 -003 00004990119 1315989429881 -05160713681 06066705884 Age -00026 00008 00015
Log(Vacancies amp Rent Loss rentable sf) Age -00026152008 09973882158 -026 00056263988 1391583522195 -04648090107 06427946925 Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00099 00043 00252
Log(Vacancies amp Rent Loss rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00099001013 10099492694 099 0100821633 1384002310718 00981942166 09219201454
Log(Total Rents Collected rentable sf) Intercept 30195696974 204824761253 194825 04164909532 1420770663705 72500246992 0
Log(Total Rents Collected rentable sf) Green Certified (1=yes 0=no)[Yes] 00996165255 11047471944 1047
Hopkins Erin Hopkins Erincant provide a confidencd interval for it
00590542761 1286416575023 16868638818 0094053065
Log(Total Rents Collected rentable sf) Gym (1=yes 0=no)[Yes] 00684081888 10708023088 708 0096210834 1330244953516 07110237581 04783143732
Log(Total Rents Collected rentable sf) Pool (1=yes 0=no)[Yes] 00088712036 10089106694 089 00916333982 708572236354 00968119025 09231490817
Log(Total Rents Collected rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00836597449 09197441505 -803 01126005752 1404546011941 -07429779537 04587359136
Log(Total Rents Collected rentable sf) Walk Score 0006479206 10065002414 065 0002794287 1413201347208 23187331419 00218436949
Log(Total Rents Collected rentable sf) of Unfurnished Apartments -00008678845 0999132492 -009 00003932429 1359586026848 -22069932213 00289920945
Log(Total Rents Collected rentable sf) Average Apt Unit Size -00002078918 09997921298 -002 00003300088 1382568544162 -06299582685 05297616269
Log(Total Rents Collected rentable sf) Age 00008364704 10008368204 008 00037477419 1387794745176 02231931757 08237133506
Log(Total Rents Collected rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00042999624 10043092206 043 0069466499 142786243042 00618998008 09507291881
Log(Total Actual Collections rentable sf) Intercept 30681072891 215011686418 205012 04070110501 1415072794017 75381424868 0
Log(Total Actual Collections rentable sf) Green Certified (1=yes 0=no)[Yes] 00944491888 10990533175 991 00578900924 1291837028308 16315259643 01052148631
Log(Total Actual Collections rentable sf) Gym (1=yes 0=no)[Yes] 00739127176 10767128233 767 0094247393 1335821297113 07842415071 04342868782
Log(Total Actual Collections rentable sf) Pool (1=yes 0=no)[Yes] 00130418887 10131273051 131 00885804441 654593026021 01472321442 08834013324
Log(Total Actual Collections rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00794248992 0923647384 -764 01101507414 1410305976559 -07210564195 04720684016
Log(Total Actual Collections rentable sf) Walk Score 00065530115 10065745295 066 00027272037 14047408887 24028316857 00175745575
Log(Total Actual Collections rentable sf) of Unfurnished Apartments -0000833078 09991672689 -008 00003850262 1365168778586 -21636916411 00322285543
Log(Total Actual Collections rentable sf) Average Apt Unit Size -00002169447 09997830788 -002 00003233576 1393662972101 -06709126047 05033865944
Log(Total Actual Collections rentable sf) Age 00015178151 10015189676 015 0003670824 1398532082324 04134807595 06798877496
Log(Total Actual Collections rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00249154485 10252284322 252 0067842812 1423468871242 03672525904 07139760316
Log(Management Fee rentable sf) Intercept -02128803278 08082528568 -1917 04254329778 585619088893 -0500385111 06186792644
Log(Management Fee rentable sf) Green Certified (1=yes 0=no)[Yes] 0019865513 10200641454 201 00593086525 1354977267554 03349513461 07381797603
Log(Management Fee rentable sf) Gym (1=yes 0=no)[Yes] -00082052627 09918283086 -082 00958032958 1386068833723 -00856469772 09318706455
Log(Management Fee rentable sf) Pool (1=yes 0=no)[Yes] 00174275629 10175803089 176 00771880661 202180965349 02257805358 08236388274
Log(Management Fee rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00153191452 10154370848 154 01103651216 1423896402644 01388042255 08898009734
Log(Management Fee rentable sf) Walk Score 00070459229 10070708039 071 00028008303 805559990921 25156550566 0013868745
Log(Management Fee rentable sf) of Unfurnished Apartments -0001358177 09986427449 -014 00003916726 1421224837061 -34676335479 00006950146
Log(Management Fee rentable sf) Average Apt Unit Size -00005130214 09994871101 -005 00003375961 1007585612206 -15196307445 0131735624
Log(Management Fee rentable sf) Age 00013613923 10013623194 014 00037151697 1277713043957 03664414822 07146417588
Log(Management Fee rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -00674463479 09347778721 -652 00657081953 1299283630266 -10264525997 03065854809
Log(Total Utilities Rentable sf) Intercept -03748562337 06873880949 -3126 04464274077 1402143832266 -08396801522 04025171642
Log(Total Utilities Rentable sf) Green Certified (1=yes 0=no)[Yes] 00873163337 10912418217 912 0064576715 1358457024729 13521334071 01785794114
Log(Total Utilities Rentable sf) Gym (1=yes 0=no)[Yes] 01175979311 11247917766 1248 01048349264 1384172144229 11217438221 02639135776
Log(Total Utilities Rentable sf) Pool (1=yes 0=no)[Yes] 00115680134 10116351816 116 00928512423 72633370166 01245865221 09011950626
Log(Total Utilities Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00222539972 10225034645 225 01216524447 1425571484619 01829309493 0855112103
Log(Total Utilities Rentable sf) Walk Score 00068649233 10068885409 069 00029812807 1396033046894 23026759291 00227754146
Log(Total Utilities Rentable sf) of Unfurnished Apartments -00006773222 09993229071 -007 00004273761 1401067188346 -15848386198 01152575495
Log(Total Utilities Rentable sf) Average Apt Unit Size -00003442022 0999655857 -003 00003581401 1425120147852 -09610825805 03381384619
Log(Total Utilities Rentable sf) Age 00048795122 10048914364 049 00040600929 1425855030198 12018227897 02314244716
Log(Total Utilities Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -01198355423 08870663096 -1129 00742421382 1413320388001 -16141176043 01087323819
Log(MampR rentable sf) Intercept -09030689887 04053238148 -5947 0437858541 1384008312652 -20624674504 00410332652
Log(MampR rentable sf) Green Certified (1=yes 0=no)[Yes] 00937424436 10982768413 983 00639155521 1376081716673 14666609392 01447499128
Log(MampR rentable sf) Gym (1=yes 0=no)[Yes] 00037664885 10037735907 038 01036113865 1396450691334 00363520715 09710535435
Log(MampR rentable sf) Pool (1=yes 0=no)[Yes] 01319613595 11410642271 1411 00887446725 719561267791 14869778183 0141389644
Log(MampR rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00521515872 09491849716 -508 01197720975 1428478988157 -04354235112 06639122497
Log(MampR rentable sf) Walk Score 00110131704 10110740386 111 00029197236 1385662208531 37719907631 00002391344
Log(MampR rentable sf) of Unfurnished Apartments -00008849955 09991153959 -009 00004219429 1410140957414 -20974297602 0037740228
Log(MampR rentable sf) Average Apt Unit Size 00000594506 10000594524 001 0000353075 1429981472006 01683796031 08665225748
Log(MampR rentable sf) Age 0007624822 1007653965 077 00039990018 142990029884 19066812998 00585678315
Log(MampR rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00598131349 10616381449 616 00727173027 1406732379184 08225433659 04121598071
Log(Subtotal Maintenance rentable sf) Intercept -07997344997 04494482769 -5506 0489167182 1380935604874 -16348899298 01043496414
Log(Subtotal Maintenance rentable sf) Green Certified (1=yes 0=no)[Yes] 01180969773 11253532398 1254 00707986514 1348907221481 16680681771 00976219515
Log(Subtotal Maintenance rentable sf) Gym (1=yes 0=no)[Yes] 00409351965 10417845921 418 01148796072 1378640116803 03563312718 07221372278
Log(Subtotal Maintenance rentable sf) Pool (1=yes 0=no)[Yes] 01515780559 11636691295 1637 0100780712 617547240206 15040383505 01376688864
Log(Subtotal Maintenance rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -0078076377 09248937833 -751 01331885868 1426567369893 -05862092154 05586613077
Log(Subtotal Maintenance rentable sf) Walk Score 0011889233 10119601909 120 00032614069 1377504918879 36454307183 00003773801
Log(Subtotal Maintenance rentable sf) of Unfurnished Apartments -00008153416 09991849907 -008 00004682078 1398534995511 -17414095506 00838107083
Log(Subtotal Maintenance rentable sf) Average Apt Unit Size 00005083484 10005084776 005 00003930253 1428434249161 12934242295 01979520949
Log(Subtotal Maintenance rentable sf) Age 00104106727 10104650523 105 00044515054 1428449267664 23386858733 00207383998
Log(Subtotal Maintenance rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 02440298206 12763823925 2764 0081177414 1402563601749 30061295196 00031359748
Log(Property Insurance rentable sf) Intercept -08916874806 04099633635 -5900 04516384713 1429624291993 -19743390727 00502702101
Log(Property Insurance rentable sf) Green Certified (1=yes 0=no)[Yes] 01239058141 11319092561 1319 0062692592 1281678143933 19764027959 00502564371
Log(Property Insurance rentable sf) Gym (1=yes 0=no)[Yes] -0003522638 09964835593 -035 01024969537 1314939748594 -0034368221 09726356404
Log(Property Insurance rentable sf) Pool (1=yes 0=no)[Yes] 00227423743 10230029538 230 01040308572 1125700947624 02186118131 08273482928
Log(Property Insurance rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00155809876 10157030041 157 01206677853 1368483458399 01291230096 08974498986
Log(Property Insurance rentable sf) Walk Score 00072977866 10073244804 073 00030353828 1428602075435 24042392705 00174877086
Log(Property Insurance rentable sf) of Unfurnished Apartments -00010061941 09989943119 -010 0000420017 1337858380697 -23956034086 00179774093
Log(Property Insurance rentable sf) Average Apt Unit Size -00006330482 09993671521 -006 00003514502 1338864329416 -18012458048 0073914725
Log(Property Insurance rentable sf) Age 00009661099 10009665767 010 00039921418 1338497494964 02420028921 08091483095
Log(Property Insurance rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -00520208103 09493091112 -507 00749301111 1411273861679 -06942577501 04886618561
Log(Total All Expenses Rentable sf) Intercept 17410862845 57035357214 47035 03946731547 141889623796 44114636723 00000201648
Log(Total All Expenses Rentable sf) Green Certified (1=yes 0=no)[Yes] 01231722438 11310792255 1311 00565275641 1341244163534 21789766772 00310802733
Log(Total All Expenses Rentable sf) Gym (1=yes 0=no)[Yes] 00096244971 10096709615 097 00919378962 1370603130567 01046847658 09167789899
Log(Total All Expenses Rentable sf) Pool (1=yes 0=no)[Yes] 01610294116 11747195186 1747 00846545666 801516751987 19021940341 00607378863
Log(Total All Expenses Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00361842114 09644626121 -355 01071504659 1418739239709 -03376953252 07360919324
Log(Total All Expenses Rentable sf) Walk Score 00087371658 10087754463 088 00026426023 1411809488418 33062734678 00011989895
Log(Total All Expenses Rentable sf) of Unfurnished Apartments -00008720665 09991283137 -009 00003752966 1389800988186 -23236728617 00215934791
Log(Total All Expenses Rentable sf) Average Apt Unit Size -0000155413 0999844599 -002 00003145108 1409449329598 -0494142052 06219751067
Log(Total All Expenses Rentable sf) Age 00015666155 10015678433 016 00035695206 1412387206124 04388868073 06614142124
Log(Total All Expenses Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00157918953 10159172462 159 00657593447 1424551160559 02401467861 08105616925
Log(NOI Rentable sf) Intercept 27416093787 155119295878 145119 049686036 1426328429735 55178669889 0000000157
Log(NOI Rentable sf) Green Certified (1=yes 0=no)[Yes] 00932241108 10977077159 977 00701671113 1292740226257 13286012361 01863200879
Log(NOI Rentable sf) Gym (1=yes 0=no)[Yes] 0111280688 11177085902 1177 0114413579 13320261997 09726178396 03325061802
Log(NOI Rentable sf) Pool (1=yes 0=no)[Yes] -00608871507 0940929417 -591 01107002034 838263437204 -05500184174 05837693269
Log(NOI Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -01393113526 08699571229 -1300 01340931949 1397855428856 -10389144106 03006382455
Log(NOI Rentable sf) Walk Score 00045000262 10045101666 045 0003337636 1423581725818 13482675372 01797136327
Log(NOI Rentable sf) of Unfurnished Apartments -00007116645 09992885887 -007 00004679272 1358400867851 -15208872073 01306124688
Log(NOI Rentable sf) Average Apt Unit Size -00001937801 09998062387 -002 00003921685 1372175013367 -04941245389 06220083144
Log(NOI Rentable sf) Age 00034607088 1003466704 035 00044548378 1376438770548 07768428318 04385844885
Log(NOI Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00488697769 10500835966 501 00828565286 1429949688826 05898120243 0556247504
Concessions rentable sf Intercept 0091580439 10959049266 959 12772069558 1418541020247 00717036801 09429387231
Concessions rentable sf Green Certified (1=yes 0=no)[Yes] 01110697527 11174728508 1175 01814813765 1293641668833 06120173584 05416004511
Concessions rentable sf Gym (1=yes 0=no)[Yes] -05094051331 06008529 -3991 02955403985 1336296409402 -17236395961 00870857294
Concessions rentable sf Pool (1=yes 0=no)[Yes] -00886152984 09151975838 -848 02791864929 69298361986 -03174053928 07518903943
Concessions rentable sf Outdoor Common Area (1=yes 0=no)[Yes] 04576291372 15803228114 5803 03455726285 1408379747117 13242632646 01875606951
Concessions rentable sf Walk Score 00120688741 10121419968 121 00085630896 1409791646097 14094064916 01609170757
Concessions rentable sf of Unfurnished Apartments -00007045588 09992956894 -007 00012075862 1364744404696 -05834438741 05605574922
Concessions rentable sf Average Apt Unit Size -00003193903 09996806607 -003 00010135961 1389703034326 -03151061148 07531537379
Concessions rentable sf Age 00130223218 10131074815 131 00115086772 139464867267 11315220311 02597773256
Concessions rentable sf Building Mix (0=multifamily 1 = mixed-use)[Mixed] -03719888249 06893619462 -3106 02129597676 1426034459287 -17467563435 00828326573
Y Term Practical Interpretation increasedecrease Probgt|t| Total Rents Collected Subtotal Maintenance Property Insurance Total Expenses
Log(Total Rents Collected rentable sf) Green Certified (1=yes 0=no)[Yes] 1047
Hopkins Erin Hopkins Erincant provide a confidencd interval for it
009 130837635934 13311489362 01847683215 67633617021
Log(Subtotal Maintenance rentable sf) Green Certified (1=yes 0=no)[Yes] 1254 010 267662568114 08839769656 0489370035 133484365708
Log(Property Insurance rentable sf) Green Certified (1=yes 0=no)[Yes] 1319 005 44887430941 07758149459 02417429373 41261056301
Log(Total All Expenses Rentable sf) Green Certified (1=yes 0=no)[Yes] 1311 003 103066299601 12390720963 00474343371 5067818194
206907297628 2385711159 02072356932 9194606526
318766961061 22633758919 04452208547 128154919371
92461669878 09545425866 01280485733 38832017239
143925847783 15966970999 02187893202 54018796992
176714125561 02006495648 02876780533 58992020575
232897515382 0726170332 00787094673 69517596041
Non-green sf average Financial Green Impact sf Financial green impact differencesf Green impactapt Green impactproperty 51780910259 05203453537 00494304264 22609306646
178353784788 17547710996 02048626598 95961490345
Total Rents Collected sf 1047 2356 2603 $ 247 $ 2189 $ 551683 113769814112 12206875575 03432049607 118156743193
Subtotal Maintenance sf 1254 160 180 $ 020 $ 178 $ 44843 301239240258 10561596849 0204970258 110903994641
Property Insurance sf 1319 036 041 $ 005 $ 42 $ 10601 918584487 08376649832 00914663991 4146546939
Total Expenses sf 1311 852 963 $ 112 $ 990 $ 249535 265183769576 19294929362 03500602344 108447158033
226055903548 13557897255 03988791741 10971207244
334894587007 17970717884 05122599181 124640467569
5542518821 31394328066 04875650977 200668786372
112655732059 13445692884 02031297086 43995867235
129139526152 1168069688 00518980213 4651511283
Avg Apt Size Avg of Units 151098478261 13975 02004130435 51873478261
192155046737 21015937064 02616549091 8357602264
887 252 514840434082 52766375656 02375463267 174375582672
81421971535 06694487849 00899424521 2748686222
30246817244 21594341279 03308639536 97277207077
488523197409 27727612187 0646599696 130752346177
318750561687 38903340576 03852711795 142409683793
310384048163 43119745565 03335824966 138846874251
Green Certification Impacts 48578215663 0350218077 03095574205 23695139998
Dependent Variable Per Square Foot Per Apartment Per Property 192237574111 13374121765 02053242615 84027476689
Total Rents Collected $ 247 $ 2189 $ 551683 62979912788 05343191729 00816289996 45390243161
Subtotal Maintenance $ 020 $ 178 $ 44843 148378959661 14651715909 02004049722 80900580942
Property Insurance $ 005 $ 42 $ 10601 196798863889 11267176542 02499920663 90266351433
Total Expenses $ 112 $ 990 $ 249535 281508617823 09686995581 01118170881 119863342059
58584849751 0106864586 04187933949 44180073736
126756167712 1265684516 02796423029 87538414144
176550549412 24957340254 02343899179 88904473415
252421786235 28063734042 03142238564 133776179357
191875932907 13637043757 03440324697 987034902
159508092934 13109374847 02091697013 98967206196
342739845467 09614092295 03929892961 129755936769
192510355167 32804720611 01743191858 134560085596
257829360401 13666691797 01527100011 56329812754
358622391559 14251973427 03437553732 101098436889
217744157919 24046486586 01864745418 68711016642
222112557003 22022148788 07879755849 97807110765
202535763689 04548110217 10003436751 127886698915
155879815194 23816051158 04816227091 119033557201
11066078843 23413202706 06413902496 81812176347
151924709838 18873401649 05711000232 105403544539
163604010853 16052949068 02714509557 82030431823
133974400047 11018949984 03560839935 59096477943
133528448829 13647819036 02538331588 66159357367
187400008959 16889788117 030870974 115752907975
155246293804 18308314258 03852380906 116657595614
34082816218 05447090935 09838411173 13641308574
201220131342 11192465065 03188344246 93786154242
139108532616 13313944086 03887737775 69698295902
191656858207 15717927807 06002115982 119380046581
200921599083 12597596226 03267106334 82474085087
57536742874 00453219212 00300766262 10569757217
120548294116 11607892527 03275736725 74435143659
123188534664 1404028789 03510968138 78762080781
59543029729 0899713372 01652374748 28143456117
144215639215 19193238703 02899837711 67370054173
340046684831 19619729415 04325060698 120608464163
208244777176 28183367899 037 73104355304
234349752613 19432301154 0351134881 107484594815
136370903402 17029933791 01989576534 50899930579
149968383478 14209793679 02735642323 63813718869
81145819519 0920766851 00474564037 30674168785
226307446224 12529424404 02036192613 69235920453
132787305462 08047482453 01232346659 41808605432
251519090044 21798380428 0376480317 80396623551
492269138212 12196979039 02981674812 128316943664
107177195916 08016374211 0113808252 40618650625
128238528886 10751217142 01843492552 6476830365
57582611557 11908427448 0874334536 134004066235
43835651097 34822540694 03904989384 146763800425
205787355386 1429219053 02624404931 5321754079
463148430769 07709353846 06150738462 101617384615
377949548611 28670972222 08296944444 109743576389
360087564176 03501711352 18551055334 110041072447
18371979614 18232783153 07267294459 61184870906
678035276363 13443501226 10431616676 167533484248
56073359244 10138647576 01591318768 51440832304
189431314891 05101557395 03677787459 41010945328
383550342095 23244425576 04086557393 98151764619
115544349685 03310482653 037 40344851625
7552318246 0955023726 01241945851 24368780848
133083101881 19451300341 00938801919 48731378614
122308363087 13760780005 01439989014 45100624828
84908269322 10857071617 01155797799 36082570734
263116048067 10733627163 041902582 60372732395
76183752731 09621126305 01069925907 26170373239
172494454001 11781600332 03919686814 59016193131
342076422068 22741368431 03165622465 73557085549
215534567901 1485497076 02210396361 49118778428
314593058927 23798916958 02751353803 121998559501
586535191691 21029046354 02109026171 91979074439
138093310078 14595490221 02142269839 44286283792
227203645682 04584630891 05737147639 93344680527
572754455737 17713614269 01642228739 92545561671
60603870458 04541110154 01180884676 15902125521
358781017266 33847643857 06854022643 139200146946
342079216629 24477703832 0463059603 67166143833
651201231187 51019950176 12529595849 222094150831
369798669702 21700816928 0444474205 101410502507
421838575952 28823013788 05443272608 151399739597
626095189209 20826275416 04947814184 184651096472
214882899762 25034709712 06359683889 109534721722
274037120739 26718517094 037 67504928595
252667703737 25588590114 05379535858 109041874345
59253832495 01099622961 04620367393 19262874847
150862851538 18053109961 07398729558 71488607075
111196959019 00928417366 037 09427894164
667360269858 07921160191 02989609494 104670639024
2356 160 036 852
Log(Vacancies amp Rent Loss rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified -00318 00916 -00313 07289
Fitness Center 01008 01480 01060 04969
Pool 01126 01133 01192 03253
Outdoor Common Area 02673 01691 03064 01162
Walk Score 00102 00041 00102 00140
of Unfurnished Apartments -00003 00006 -00003 06769
Average Apt Unit Size -00003 00005 -00003 06067
Age -00026 00056 -00026 06428
Building Mix 00099 01008 00099 09219
Note R2 = 645
Log(Total Rents Collected rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00996 00591 01047 00941
Fitness Center 00684 00962 00708 04783
Pool 00089 00916 00089 09231
Outdoor Common Area -00837 01126 -00803 04587
Walk Score 00065 00028 00065 00218
of Unfurnished Apartments -00009 00004 -00009 00290
Average Apt Unit Size -00002 00003 -00002 05298
Age 00008 00037 00008 08237
Building Mix 00043 00695 00043 09507
Note R2 = 3318
Log(Total Actual Collections rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00944 00579 00991 01052
Fitness Center 00739 00942 00767 04343
Pool 00130 00886 00131 08834
Outdoor Common Area -00794 01102 -00764 04721
Walk Score 00066 00027 00066 00176
of Unfurnished Apartments -00008 00004 -00008 00322
Average Apt Unit Size -00002 00003 -00002 05034
Age 00015 00037 00015 06799
Building Mix 00249 00678 00252 07140
Note R2 = 3219
Log(Management Fee rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00199 00593 00201 07382
Fitness Center -00082 00958 -00082 09319
Pool 00174 00772 00176 08236
Outdoor Common Area 00153 01104 00154 08898
Walk Score 00070 00028 00071 00139
of Unfurnished Apartments -00014 00004 -00014 00007
Average Apt Unit Size -00005 00003 -00005 01317
Age 00014 00037 00014 07146
Building Mix -00674 00657 -00652 03066
Note R2 = 1697
Log(Total Utilities Rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00873 00646 00912 01786
Fitness Center 01176 01048 01248 02639
Pool 00116 00929 00116 09012
Outdoor Common Area 00223 01217 00225 08551
Walk Score 00069 00030 00069 00228
of Unfurnished Apartments -00007 00004 -00007 01153
Average Apt Unit Size -00003 00004 -00003 03381
Age 00049 00041 00049 02314
Building Mix -01198 00742 -01129 01087
Note R2 = 2171
Log(MampR rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00937 00639 00983 01447
Fitness Center 00038 01036 00038 09711
Pool 01320 00887 01411 01414
Outdoor Common Area -00522 01198 -00508 06639
Walk Score 00110 00029 00111 00002
of Unfurnished Apartments -00009 00004 -00009 00377
Average Apt Unit Size 00001 00004 00001 08665
Age 00076 00040 00077 00586
Building Mix 00598 00727 00616 04122
Note R2 = 2620
Log(Subtotal Maintenance rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 01181 00708 01254 00976
Fitness Center 00409 01149 00418 07221
Pool 01516 01008 01637 01377
Outdoor Common Area -00781 01332 -00751 05587
Walk Score 00119 00033 00120 00004
of Unfurnished Apartments -00008 00005 -00008 00838
Average Apt Unit Size 00005 00004 00005 01980
Age 00104 00045 00105 00207
Building Mix 02440 00812 02764 00031
Note R2 = 3218
Log(Property Insurance rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 01239 00627 01319 00503
Fitness Center -00035 01025 -00035 09726
Pool 00227 01040 00230 08273
Outdoor Common Area 00156 01207 00157 08974
Walk Score 00073 00030 00073 00175
of Unfurnished Apartments -00010 00004 -00010 00180
Average Apt Unit Size -00006 00004 -00006 00739
Age 00010 00040 00010 08091
Building Mix -00520 00749 -00507 04887
Note R2 = 3902
Log(Total All Expenses Rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 01232 00565 01311 00311
Fitness Center 00096 00919 00097 09168
Pool 01610 00847 01747 00607
Outdoor Common Area -00362 01072 -00355 07361
Walk Score 00087 00026 00088 00012
of Unfurnished Apartments -00009 00004 -00009 00216
Average Apt Unit Size -00002 00003 -00002 06220
Age 00016 00036 00016 06614
Building Mix 00158 00658 00159 08106
Note R2 = 2943
Log(NOI Rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00932 00702 00977 01863
Fitness Center 01113 01144 01177 03325
Pool -00609 01107 -00591 05838
Outdoor Common Area -01393 01341 -01300 03006
Walk Score 00045 00033 00045 01797
of Unfurnished Apartments -00007 00005 -00007 01306
Average Apt Unit Size -00002 00004 -00002 06220
Age 00035 00045 00035 04386
Building Mix 00489 00829 00501 05562
Note R2 = 3669
Concessions rentable sf
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 01111 01815 01175 05416
Fitness Center -05094 02955 -03991 00871
Pool -00886 02792 -00848 07519
Outdoor Common Area 04576 03456 05803 01876
Walk Score 00121 00086 00121 01609
of Unfurnished Apartments -00007 00012 -00007 05606
Average Apt Unit Size -00003 00010 -00003 07532
Age 00130 00115 00131 02598
Building Mix -03720 02130 -03106 00828
Note R2 = 2402
Y Term ~Bias Estimate EXP estimate Practical Interpretation increasedecrease Std Error DFDen t Ratio Probgt|t| Estimate Std Error Practical Interpretation Significance
Log(Vacancies amp Rent Loss rentable sf) Intercept 00893029328 10934118365 934 06116337119 1083785495375 01460072116 08841869197 Green Cert
Log(Vacancies amp Rent Loss rentable sf) Green Certified (1=yes 0=no)[Yes] -0031825668 09686754385 -313 009164153 139931853592 -03472843369 07288994904 Gym
Log(Vacancies amp Rent Loss rentable sf) Gym (1=yes 0=no)[Yes] 01007730854 11060256399 1060 01479591517 1412043780621 0681087207 0496931725
Log(Vacancies amp Rent Loss rentable sf) Pool (1=yes 0=no)[Yes] 01125884395 11191712315 1192 0113345701 506840641957 09933190097 032527325
Log(Vacancies amp Rent Loss rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 02672618233 13063824429 3064 01690835398 1429144230275 15806495624 01161688791
Log(Vacancies amp Rent Loss rentable sf) Walk Score 00101642302 10102160615 102 00040763935 1219632686439 24934369735 00139912712
Log(Vacancies amp Rent Loss rentable sf) of Unfurnished Apartments -0000250981 09997490505 -003 00006011213 142449410245 -04175214322 06769256723
Log(Vacancies amp Rent Loss rentable sf) Average Apt Unit Size -00002575258 09997425074 -003 00004990119 1315989429881 -05160713681 06066705884
Log(Vacancies amp Rent Loss rentable sf) Age -00026152008 09973882158 -026 00056263988 1391583522195 -04648090107 06427946925
Log(Vacancies amp Rent Loss rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00099001013 10099492694 099 0100821633 1384002310718 00981942166 09219201454
Log(Total Rents Collected rentable sf) Intercept 30195696974 204824761253 194825 04164909532 1420770663705 72500246992 0
Log(Total Rents Collected rentable sf) Green Certified (1=yes 0=no)[Yes] 00996165255 11047471944 1047
Hopkins Erin Hopkins Erincant provide a confidencd interval for it
00590542761 1286416575023 16868638818 0094053065 0099617 00590542761 1047
Log(Total Rents Collected rentable sf) Gym (1=yes 0=no)[Yes] 00684081888 10708023088 708 0096210834 1330244953516 07110237581 04783143732
Log(Total Rents Collected rentable sf) Pool (1=yes 0=no)[Yes] 00088712036 10089106694 089 00916333982 708572236354 00968119025 09231490817
Log(Total Rents Collected rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00836597449 09197441505 -803 01126005752 1404546011941 -07429779537 04587359136
Log(Total Rents Collected rentable sf) Walk Score 0006479206 10065002414 065 0002794287 1413201347208 23187331419 00218436949
Log(Total Rents Collected rentable sf) of Unfurnished Apartments -00008678845 0999132492 -009 00003932429 1359586026848 -22069932213 00289920945 variance components to talk about how much of the total error that is attribuatle to city
Log(Total Rents Collected rentable sf) Average Apt Unit Size -00002078918 09997921298 -002 00003300088 1382568544162 -06299582685 05297616269
Log(Total Rents Collected rentable sf) Age 00008364704 10008368204 008 00037477419 1387794745176 02231931757 08237133506
Log(Total Rents Collected rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00042999624 10043092206 043 0069466499 142786243042 00618998008 09507291881
Log(Total Actual Collections rentable sf) Intercept 30681072891 215011686418 205012 04070110501 1415072794017 75381424868 0
Log(Total Actual Collections rentable sf) Green Certified (1=yes 0=no)[Yes] 00944491888 10990533175 991 00578900924 1291837028308 16315259643 01052148631
Log(Total Actual Collections rentable sf) Gym (1=yes 0=no)[Yes] 00739127176 10767128233 767 0094247393 1335821297113 07842415071 04342868782
Log(Total Actual Collections rentable sf) Pool (1=yes 0=no)[Yes] 00130418887 10131273051 131 00885804441 654593026021 01472321442 08834013324
Log(Total Actual Collections rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00794248992 0923647384 -764 01101507414 1410305976559 -07210564195 04720684016
Log(Total Actual Collections rentable sf) Walk Score 00065530115 10065745295 066 00027272037 14047408887 24028316857 00175745575
Log(Total Actual Collections rentable sf) of Unfurnished Apartments -0000833078 09991672689 -008 00003850262 1365168778586 -21636916411 00322285543
Log(Total Actual Collections rentable sf) Average Apt Unit Size -00002169447 09997830788 -002 00003233576 1393662972101 -06709126047 05033865944
Log(Total Actual Collections rentable sf) Age 00015178151 10015189676 015 0003670824 1398532082324 04134807595 06798877496
Log(Total Actual Collections rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00249154485 10252284322 252 0067842812 1423468871242 03672525904 07139760316
Log(Management Fee rentable sf) Intercept -02128803278 08082528568 -1917 04254329778 585619088893 -0500385111 06186792644
Log(Management Fee rentable sf) Green Certified (1=yes 0=no)[Yes] 0019865513 10200641454 201 00593086525 1354977267554 03349513461 07381797603
Log(Management Fee rentable sf) Gym (1=yes 0=no)[Yes] -00082052627 09918283086 -082 00958032958 1386068833723 -00856469772 09318706455
Log(Management Fee rentable sf) Pool (1=yes 0=no)[Yes] 00174275629 10175803089 176 00771880661 202180965349 02257805358 08236388274
Log(Management Fee rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00153191452 10154370848 154 01103651216 1423896402644 01388042255 08898009734
Log(Management Fee rentable sf) Walk Score 00070459229 10070708039 071 00028008303 805559990921 25156550566 0013868745
Log(Management Fee rentable sf) of Unfurnished Apartments -0001358177 09986427449 -014 00003916726 1421224837061 -34676335479 00006950146
Log(Management Fee rentable sf) Average Apt Unit Size -00005130214 09994871101 -005 00003375961 1007585612206 -15196307445 0131735624
Log(Management Fee rentable sf) Age 00013613923 10013623194 014 00037151697 1277713043957 03664414822 07146417588
Log(Management Fee rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -00674463479 09347778721 -652 00657081953 1299283630266 -10264525997 03065854809
Log(Total Utilities Rentable sf) Intercept -03748562337 06873880949 -3126 04464274077 1402143832266 -08396801522 04025171642
Log(Total Utilities Rentable sf) Green Certified (1=yes 0=no)[Yes] 00873163337 10912418217 912 0064576715 1358457024729 13521334071 01785794114
Log(Total Utilities Rentable sf) Gym (1=yes 0=no)[Yes] 01175979311 11247917766 1248 01048349264 1384172144229 11217438221 02639135776
Log(Total Utilities Rentable sf) Pool (1=yes 0=no)[Yes] 00115680134 10116351816 116 00928512423 72633370166 01245865221 09011950626
Log(Total Utilities Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00222539972 10225034645 225 01216524447 1425571484619 01829309493 0855112103
Log(Total Utilities Rentable sf) Walk Score 00068649233 10068885409 069 00029812807 1396033046894 23026759291 00227754146
Log(Total Utilities Rentable sf) of Unfurnished Apartments -00006773222 09993229071 -007 00004273761 1401067188346 -15848386198 01152575495
Log(Total Utilities Rentable sf) Average Apt Unit Size -00003442022 0999655857 -003 00003581401 1425120147852 -09610825805 03381384619
Log(Total Utilities Rentable sf) Age 00048795122 10048914364 049 00040600929 1425855030198 12018227897 02314244716
Log(Total Utilities Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -01198355423 08870663096 -1129 00742421382 1413320388001 -16141176043 01087323819
Log(MampR rentable sf) Intercept -09030689887 04053238148 -5947 0437858541 1384008312652 -20624674504 00410332652
Log(MampR rentable sf) Green Certified (1=yes 0=no)[Yes] 00937424436 10982768413 983 00639155521 1376081716673 14666609392 01447499128
Log(MampR rentable sf) Gym (1=yes 0=no)[Yes] 00037664885 10037735907 038 01036113865 1396450691334 00363520715 09710535435
Log(MampR rentable sf) Pool (1=yes 0=no)[Yes] 01319613595 11410642271 1411 00887446725 719561267791 14869778183 0141389644
Log(MampR rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00521515872 09491849716 -508 01197720975 1428478988157 -04354235112 06639122497
Log(MampR rentable sf) Walk Score 00110131704 10110740386 111 00029197236 1385662208531 37719907631 00002391344
Log(MampR rentable sf) of Unfurnished Apartments -00008849955 09991153959 -009 00004219429 1410140957414 -20974297602 0037740228
Log(MampR rentable sf) Average Apt Unit Size 00000594506 10000594524 001 0000353075 1429981472006 01683796031 08665225748
Log(MampR rentable sf) Age 0007624822 1007653965 077 00039990018 142990029884 19066812998 00585678315
Log(MampR rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00598131349 10616381449 616 00727173027 1406732379184 08225433659 04121598071
Log(Subtotal Maintenance rentable sf) Intercept -07997344997 04494482769 -5506 0489167182 1380935604874 -16348899298 01043496414
Log(Subtotal Maintenance rentable sf) Green Certified (1=yes 0=no)[Yes] 01180969773 11253532398 1254 00707986514 1348907221481 16680681771 00976219515
Log(Subtotal Maintenance rentable sf) Gym (1=yes 0=no)[Yes] 00409351965 10417845921 418 01148796072 1378640116803 03563312718 07221372278
Log(Subtotal Maintenance rentable sf) Pool (1=yes 0=no)[Yes] 01515780559 11636691295 1637 0100780712 617547240206 15040383505 01376688864
Log(Subtotal Maintenance rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -0078076377 09248937833 -751 01331885868 1426567369893 -05862092154 05586613077
Log(Subtotal Maintenance rentable sf) Walk Score 0011889233 10119601909 120 00032614069 1377504918879 36454307183 00003773801
Log(Subtotal Maintenance rentable sf) of Unfurnished Apartments -00008153416 09991849907 -008 00004682078 1398534995511 -17414095506 00838107083
Log(Subtotal Maintenance rentable sf) Average Apt Unit Size 00005083484 10005084776 005 00003930253 1428434249161 12934242295 01979520949
Log(Subtotal Maintenance rentable sf) Age 00104106727 10104650523 105 00044515054 1428449267664 23386858733 00207383998
Log(Subtotal Maintenance rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 02440298206 12763823925 2764 0081177414 1402563601749 30061295196 00031359748
Log(Property Insurance rentable sf) Intercept -08916874806 04099633635 -5900 04516384713 1429624291993 -19743390727 00502702101
Log(Property Insurance rentable sf) Green Certified (1=yes 0=no)[Yes] 01239058141 11319092561 1319 0062692592 1281678143933 19764027959 00502564371
Log(Property Insurance rentable sf) Gym (1=yes 0=no)[Yes] -0003522638 09964835593 -035 01024969537 1314939748594 -0034368221 09726356404
Log(Property Insurance rentable sf) Pool (1=yes 0=no)[Yes] 00227423743 10230029538 230 01040308572 1125700947624 02186118131 08273482928
Log(Property Insurance rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00155809876 10157030041 157 01206677853 1368483458399 01291230096 08974498986
Log(Property Insurance rentable sf) Walk Score 00072977866 10073244804 073 00030353828 1428602075435 24042392705 00174877086
Log(Property Insurance rentable sf) of Unfurnished Apartments -00010061941 09989943119 -010 0000420017 1337858380697 -23956034086 00179774093
Log(Property Insurance rentable sf) Average Apt Unit Size -00006330482 09993671521 -006 00003514502 1338864329416 -18012458048 0073914725
Log(Property Insurance rentable sf) Age 00009661099 10009665767 010 00039921418 1338497494964 02420028921 08091483095
Log(Property Insurance rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -00520208103 09493091112 -507 00749301111 1411273861679 -06942577501 04886618561
Log(Total All Expenses Rentable sf) Intercept 17410862845 57035357214 47035 03946731547 141889623796 44114636723 00000201648
Log(Total All Expenses Rentable sf) Green Certified (1=yes 0=no)[Yes] 01231722438 11310792255 1311 00565275641 1341244163534 21789766772 00310802733
Log(Total All Expenses Rentable sf) Gym (1=yes 0=no)[Yes] 00096244971 10096709615 097 00919378962 1370603130567 01046847658 09167789899
Log(Total All Expenses Rentable sf) Pool (1=yes 0=no)[Yes] 01610294116 11747195186 1747 00846545666 801516751987 19021940341 00607378863
Log(Total All Expenses Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00361842114 09644626121 -355 01071504659 1418739239709 -03376953252 07360919324
Log(Total All Expenses Rentable sf) Walk Score 00087371658 10087754463 088 00026426023 1411809488418 33062734678 00011989895
Log(Total All Expenses Rentable sf) of Unfurnished Apartments -00008720665 09991283137 -009 00003752966 1389800988186 -23236728617 00215934791
Log(Total All Expenses Rentable sf) Average Apt Unit Size -0000155413 0999844599 -002 00003145108 1409449329598 -0494142052 06219751067
Log(Total All Expenses Rentable sf) Age 00015666155 10015678433 016 00035695206 1412387206124 04388868073 06614142124
Log(Total All Expenses Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00157918953 10159172462 159 00657593447 1424551160559 02401467861 08105616925
Log(NOI Rentable sf) Intercept 27416093787 155119295878 145119 049686036 1426328429735 55178669889 0000000157
Log(NOI Rentable sf) Green Certified (1=yes 0=no)[Yes] 00932241108 10977077159 977 00701671113 1292740226257 13286012361 01863200879
Log(NOI Rentable sf) Gym (1=yes 0=no)[Yes] 0111280688 11177085902 1177 0114413579 13320261997 09726178396 03325061802
Log(NOI Rentable sf) Pool (1=yes 0=no)[Yes] -00608871507 0940929417 -591 01107002034 838263437204 -05500184174 05837693269
Log(NOI Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -01393113526 08699571229 -1300 01340931949 1397855428856 -10389144106 03006382455
Log(NOI Rentable sf) Walk Score 00045000262 10045101666 045 0003337636 1423581725818 13482675372 01797136327
Log(NOI Rentable sf) of Unfurnished Apartments -00007116645 09992885887 -007 00004679272 1358400867851 -15208872073 01306124688
Log(NOI Rentable sf) Average Apt Unit Size -00001937801 09998062387 -002 00003921685 1372175013367 -04941245389 06220083144
Log(NOI Rentable sf) Age 00034607088 1003466704 035 00044548378 1376438770548 07768428318 04385844885
Log(NOI Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00488697769 10500835966 501 00828565286 1429949688826 05898120243 0556247504
Concessions rentable sf Intercept 0091580439 10959049266 959 12772069558 1418541020247 00717036801 09429387231
Concessions rentable sf Green Certified (1=yes 0=no)[Yes] 01110697527 11174728508 1175 01814813765 1293641668833 06120173584 05416004511
Concessions rentable sf Gym (1=yes 0=no)[Yes] -05094051331 06008529 -3991 02955403985 1336296409402 -17236395961 00870857294
Concessions rentable sf Pool (1=yes 0=no)[Yes] -00886152984 09151975838 -848 02791864929 69298361986 -03174053928 07518903943
Concessions rentable sf Outdoor Common Area (1=yes 0=no)[Yes] 04576291372 15803228114 5803 03455726285 1408379747117 13242632646 01875606951
Concessions rentable sf Walk Score 00120688741 10121419968 121 00085630896 1409791646097 14094064916 01609170757
Concessions rentable sf of Unfurnished Apartments -00007045588 09992956894 -007 00012075862 1364744404696 -05834438741 05605574922
Concessions rentable sf Average Apt Unit Size -00003193903 09996806607 -003 00010135961 1389703034326 -03151061148 07531537379
Concessions rentable sf Age 00130223218 10131074815 131 00115086772 139464867267 11315220311 02597773256
Concessions rentable sf Building Mix (0=multifamily 1 = mixed-use)[Mixed] -03719888249 06893619462 -3106 02129597676 1426034459287 -17467563435 00828326573
Page 27: AUGUST 21- 23, 2018 • CLEVELAND, OHIO€¦ · Business Case 2.0: New Research Around High Performing Buildings Thursday 23 rd, 2018 10:30am – 12:00pm

Descriptive

97

71

100

31

89

69

93

24

0

20

40

60

80

100

120

Fitness Center Pool Outdoor Common Area Mixed-Use Property

Summary Statistics of Green vs Non-Green Propertiesn = 153

Green Non-Green

Descriptive

73228

866

2011

74

259

894

2003

0

500

1000

1500

2000

2500

Walk Score Average Number of Units Average Apt Unit Size (sf) Age

Summary Statistics of Green vs Non-Green Properties

n = 153

Green Non-Green

Findings

Total Rents Collected1047

Total Maintenance1254

Property Insurance1319

Total Expenses1311

Higher rents and expenses

Financial Impacts of Green

Dependent Variable Per Square Foot Per Apartment Per PropertyTotal Rents Collected 247$ 2189$ 551683$ Subtotal Maintenance 020$ 178$ 44843$ Property Insurance 005$ 42$ 10601$ Total Expenses 112$ 990$ 249535$

Coefficients Standard Errors

Tables

Summary of Green Impacts

Summary Table

Discussion

bull Assume efficient operations will offset the higher rent

bull Philanthropic motivesbull Prestige motivesbull Green buildings tend to be newermore

likely to offer the more sought-after amenities and finishes

bull Tend to be in higher-income areaslikely have higher rents

Different motivations for paying higher rent may be in

play

Discussion

Higher Operating Expenses a Surprise

Does not align with much of the existing researchhellipbut no research on effects of green certification on total operating expenses within multifamily rental sector

Many of the certifications represented in this study focus on the design phase of the property vs the operations and maintenance phase

And although promotion of sustainability is on the rise in the multifamily housing sector staff may remain unfamiliar with the unique operations and maintenance of green

buildings

Final Thoughts

Apartment homes represent $13 trillion to the US economy and 5 million new rental households are expected by 2023 (National Multifamily Housing Council 2015)

Upfront capital constraints regulatory issues knowledge limitations and marketing concerns may diminish the attractiveness of multifamily rental green building

certification if not properly managed

Most studies focus on office sector andor strictly rents or property value

This study begins to look at the multifamily rental sector and offer a more comprehensive analysis

Further research is needed with larger datasets to understand effects of green certification on income statement components in the apartment industry as NOI

ultimately determines property market valueOptimism that this study can be the impetus for further research contributions on the

financial environmental and resident satisfaction impacts of green practices and certifications on the multifamily rental sector

Contact informationErin A Hopkinserinz1vtedu

Acknowledgementsbull Todd Feist Sustainability Program Manager at The Institute of

Real Estate Management (IREMreg) for his assistance with this research project

bull Yardi and IREMreg for the grant awarded to support this researchbull The two property management companies for sharing their data

BUILDING PERFORMANCE

UNLOCKINGVALUE

New DOE-driven Research Around High Performing Buildings

AUGUST 23 2018

ANDREW WHITEASSOCIATE MANAGERawhiteretechadvisorscom

2015-2016 bull Research design working group pilot study data lab

2017 bull Connect to Real Estate Research Institute (RERI) Literature review and gap analysis

2018 bull Research agenda request for proposals research project selection and execution

Context Setting ndash DOE Research EffortWhat are the impacts of energy efficiency and high-performance building

features on financial performance of commercial real estate

RERIrsquos mission is to encourage and reward research on real estate as an investment and as an asset class that is both academically rigorous and of value to the institutional real estate investment profession In addition RERI serves to provide a forum through which the real estate academic professional and regulatory communities can interact facilitating the exchange of insights amongst these stakeholders

RERI Overview

Sponsors

Build upon DOErsquos Review of Studies in the Market

bull Focus explicitly on peer-reviewed papers Gap analysis of existing research to

identifybull Questions that have already been

sufficiently provenbull Holes in existing body of research

Academic Inputbull Guidance on which studies to includebull Suggestions for how to conduct analysis

Literature Review Objectives

Literature Review Results

LEED

ENER

GY

ST

AR

labe

l

ENER

GY

ST

AR

sc

ore

Ener

gy u

se

BR

EEA

M

Ener

gy

Perf

orm

anc

e Cer

tific

ates

(U

K)

BO

MA

B

EST

Wal

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Non

-ene

rgy

gree

n fe

atur

es

Oth

er

Rent 20 18 1 2 2 2 1 1 1Rent concessions 1 1 1Sales price 9 11 1 1 1 1Assessed value 2 2Market value 1 2 1 2 1Occupancy 10 9 1Lease renewals 1 1 1Service charge 1Operating cost 2 3Energy cost 2 3Tenant satisfaction 1 1 1Sales time 1 1Default rate 2 1Capitalization rate 1 2 2 1Net operating income 1 1 1Loan to value ratio 1 1Debt service coverage ratio 1 1Worker productivity 1 1Other 5 4 1 4 2 2

There is considerable evidence that green building certifications correlate with increased economic value primarily via higher rents and sales prices

bull How do we move beyond certification to analyze performancebull Correlation vs Causation

bull What is driving added value Is it green features and efficiency the green labels themselves or other desirable features often included in certified buildings

Panel studies could help reduce some of the uncertainty and noise Full results presented at ACEEE Summer Study

bull Raising the Rent Premium Moving Green Building Research Beyond Certifications and Rent

bull Cindy Zhu Andrew White Paul Mathew Jeff Deason Philip Coleman

Literature Review Results

Research Agenda Core QuestionldquoHow does ltenergygreen metricgt affect ltfinancial value metricgtrdquo

EnergyGreen Metric

Site energy use or EUI

Source energy use or EUI

Energy cost or costsf

ENERGY STAR score

ENERGY STAR label

Green Building Certification (LEED BOMA 360)

Green Building Certification level (eg LEED Silver Gold)

Financial Value Metric

VacancyOccupancy Sales Price

Leasing Velocity (absorption speed of sales leasing)

Regulatory amp Compliance Risk

Tenant Renewals Insurance (rates ability)

Tenant Satisfaction Default Risk

Rental Income and Rent Concessions Debt Service Coverage Ratio

Marketing Costs Access to Funding

Utility Costs Maintenance OpEx Interest Rates

Obsolescence Reserves

Capitalization Rates

12 proposals received 5 projects selected Criteria

bull Department of Energy goals

bull Impact on Commercial Real Estate (CRE) Industry

bull Feasibility and Interest

bull Quality and Validity

Proposal Reviews

Jim Clayton Avis Devine (York University) and Rogier Holtermans(University of Guelph) Analyzing four types of energy

efficiency interventions on financial components that impact property-level NOI

bull How do interventions impact different aspects of building operations and their subsequent financial impact

Beyond Environmental Building Certification The Impact of Environmental Interventions on Commercial Real Estate Operations

Piet Eichholtz and Nils Kok (Maastricht University) and RogierHoltermans (University of Guelph) Three key questions

bull How is environmental building certification related to commercial building energy consumption

bull How does aging affect the energy consumption of the commercial building stock

bull To what extent do specific energy efficiency investments affect energy consumption in commercial real estate

The Dynamics of Energy Consumption in Commercial Real Estate

Sofia Dermisi Chris Lee and YoungjinChoe (University of Washington) Exploring the effect of disclosure

policies on office building marketability while assessing potential links between market performance of sustainable assets

bull Before and after the disclosure policies while considering market cycles

bull Before and after ENERGY STAR andor LEED certification

Markets included San Francisco Washington DC

Effect of Energy Benchmarking and Disclosure on Office Building Marketability

Dirk Brounen (Tilburg University) and Gianluca Marcato (Reading University) Analyzing the adoption of GRESB within the public real estate markets and

predicting a potential impact of GRESB scores on REIT returns

Sustainable Insights and Public Real Estate Performance GRESB Effects in REIT Markets

Constantine Kontokosta (New York University) Franz Fuerst(Cambridge University) Gary Pivo (University of Arizona) amp Jacob Sagi (UNC Chapel Hill) Utilizing NYC data to empirically model

bull the spread between the premium for labeled (energy efficient) buildings and the cost to retrofit an under-performing building to meet the same standard which will allow us to understand how much of the observed premium is attributable to energy efficiency and how much can be assigned to other perceived benefits (marketing construction quality etc)

bull the hurdle rate for energy retrofit investments using actual audit data and permitted renovation work

Estimating Office and Residential Building Energy Retrofit Hurdle Rates and Risk Arbitrage in Energy Efficiency Investments

Collecting data for continued Data Lab analysis Presenting Research findings

bull Interim research results ndash IPC Research Symposium (October)bull Greenbuild Session (November)bull RERI Research Conference (April)bull Final research results ndash Better Buildings Webinars Summit 2019 (TBA)

Work with DOE case study and data analysis opportunities abound

Next Steps

Paul Mathew

Lawrence Berkeley National Laboratorypamathewlblgov

Paulo Issler

University of California Berkeleypauloisslerberkeleyedu

Erin Hopkins

Virginia Techerinz1vtedu

Andrew White

RE Tech Advisorsawhiteretechadvisorscom

Contact Info

  • Slide Number 1
  • Business Case 20 New Research Around High Performing Buildings
  • Panelists
  • Energy and Default Risk in Commercial Mortgages
  • Paulo Issler
  • Acknowledgements
  • The link between energy and CRE mortgages
  • Approach Impact of energy on default rate
  • Default risk and source EUI (cont)
  • Default risk and source EUI
  • Default risk and source EUI (cont)
  • Default risk and source EUI (cont)
  • What are the impacts on specific loans
  • Case Studies
  • Denver Office ndash energy use and default risk
  • Denver Office ndash energy price and default risk
  • Case Studies ndash summary of risks impacts
  • Case Studies ndash business impact
  • Looking Ahead
  • Looking Ahead ndash our vision
  • Recommendations
  • Slide Number 22
  • Money Matters Exploring the Financial Impacts of Green Certifications in the Multifamily Rental SectorErin A Hopkins PhD CAPS LEED Green AssociateAssistant Professor of Property Management
  • Overview of Research
  • Certifications Represented in Sample
  • Properties by City
  • Descriptive
  • Descriptive
  • Findings
  • Financial Impacts of Green
  • Discussion
  • Discussion
  • Final Thoughts
  • Slide Number 34
  • Slide Number 35
  • Context Setting ndash DOE Research Effort
  • RERI Overview
  • Literature Review Objectives
  • Literature Review Results
  • Literature Review Results
  • Research Agenda Core Question
  • Proposal Reviews
  • Beyond Environmental Building Certification The Impact of Environmental Interventions on Commercial Real Estate Operations
  • The Dynamics of Energy Consumption in Commercial Real Estate
  • Effect of Energy Benchmarking and Disclosure on Office Building Marketability
  • Sustainable Insights and Public Real Estate Performance GRESB Effects in REIT Markets
  • Estimating Office and Residential Building Energy Retrofit Hurdle Rates and Risk Arbitrage in Energy Efficiency Investments
  • Next Steps
  • Contact Info
Y Term ~Bias Estimate EXP estimate Practical Interpretation increasedecrease Std Error DFDen t Ratio Probgt|t| Log(Vacancies amp Rent Loss rentable sf) Log(Total Rents Collected rentable sf) Log(Total Actual Collections rentable sf) Log(Management Fee rentable sf) Log(Total Utilities Rentable sf) Log(MampR rentable sf) Log(Subtotal Maintenance rentable sf) Log(Property Insurance rentable sf) Log(Total All Expenses Rentable sf) Log(NOI Rentable sf) Concessions rentable sf
Log(Vacancies amp Rent Loss rentable sf) Intercept 00893029328 10934118365 934 06116337119 1083785495375 01460072116 08841869197 Green Certified (1=yes 0=no)[Yes] -00318 01047 00991
Log(Vacancies amp Rent Loss rentable sf) Green Certified (1=yes 0=no)[Yes] -0031825668 09686754385 -313 009164153 139931853592 -03472843369 07288994904 Gym (1=yes 0=no)[Yes] 01060 00708 00767
Log(Vacancies amp Rent Loss rentable sf) Gym (1=yes 0=no)[Yes] 01007730854 11060256399 1060 01479591517 1412043780621 0681087207 0496931725 Pool (1=yes 0=no)[Yes] 01126 00089 00131
Log(Vacancies amp Rent Loss rentable sf) Pool (1=yes 0=no)[Yes] 01125884395 11191712315 1192 0113345701 506840641957 09933190097 032527325 Outdoor Common Area (1=yes 0=no)[Yes] 02673 -00803 -00764
Log(Vacancies amp Rent Loss rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 02672618233 13063824429 3064 01690835398 1429144230275 15806495624 01161688791 Walk Score 00102 00065 00066
Log(Vacancies amp Rent Loss rentable sf) Walk Score 00101642302 10102160615 102 00040763935 1219632686439 24934369735 00139912712 of Unfurnished Apartments -00003 -00009 -00008
Log(Vacancies amp Rent Loss rentable sf) of Unfurnished Apartments -0000250981 09997490505 -003 00006011213 142449410245 -04175214322 06769256723 Average Apt Unit Size -00003 -00002 -00002
Log(Vacancies amp Rent Loss rentable sf) Average Apt Unit Size -00002575258 09997425074 -003 00004990119 1315989429881 -05160713681 06066705884 Age -00026 00008 00015
Log(Vacancies amp Rent Loss rentable sf) Age -00026152008 09973882158 -026 00056263988 1391583522195 -04648090107 06427946925 Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00099 00043 00252
Log(Vacancies amp Rent Loss rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00099001013 10099492694 099 0100821633 1384002310718 00981942166 09219201454
Log(Total Rents Collected rentable sf) Intercept 30195696974 204824761253 194825 04164909532 1420770663705 72500246992 0
Log(Total Rents Collected rentable sf) Green Certified (1=yes 0=no)[Yes] 00996165255 11047471944 1047
Hopkins Erin Hopkins Erincant provide a confidencd interval for it
00590542761 1286416575023 16868638818 0094053065
Log(Total Rents Collected rentable sf) Gym (1=yes 0=no)[Yes] 00684081888 10708023088 708 0096210834 1330244953516 07110237581 04783143732
Log(Total Rents Collected rentable sf) Pool (1=yes 0=no)[Yes] 00088712036 10089106694 089 00916333982 708572236354 00968119025 09231490817
Log(Total Rents Collected rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00836597449 09197441505 -803 01126005752 1404546011941 -07429779537 04587359136
Log(Total Rents Collected rentable sf) Walk Score 0006479206 10065002414 065 0002794287 1413201347208 23187331419 00218436949
Log(Total Rents Collected rentable sf) of Unfurnished Apartments -00008678845 0999132492 -009 00003932429 1359586026848 -22069932213 00289920945
Log(Total Rents Collected rentable sf) Average Apt Unit Size -00002078918 09997921298 -002 00003300088 1382568544162 -06299582685 05297616269
Log(Total Rents Collected rentable sf) Age 00008364704 10008368204 008 00037477419 1387794745176 02231931757 08237133506
Log(Total Rents Collected rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00042999624 10043092206 043 0069466499 142786243042 00618998008 09507291881
Log(Total Actual Collections rentable sf) Intercept 30681072891 215011686418 205012 04070110501 1415072794017 75381424868 0
Log(Total Actual Collections rentable sf) Green Certified (1=yes 0=no)[Yes] 00944491888 10990533175 991 00578900924 1291837028308 16315259643 01052148631
Log(Total Actual Collections rentable sf) Gym (1=yes 0=no)[Yes] 00739127176 10767128233 767 0094247393 1335821297113 07842415071 04342868782
Log(Total Actual Collections rentable sf) Pool (1=yes 0=no)[Yes] 00130418887 10131273051 131 00885804441 654593026021 01472321442 08834013324
Log(Total Actual Collections rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00794248992 0923647384 -764 01101507414 1410305976559 -07210564195 04720684016
Log(Total Actual Collections rentable sf) Walk Score 00065530115 10065745295 066 00027272037 14047408887 24028316857 00175745575
Log(Total Actual Collections rentable sf) of Unfurnished Apartments -0000833078 09991672689 -008 00003850262 1365168778586 -21636916411 00322285543
Log(Total Actual Collections rentable sf) Average Apt Unit Size -00002169447 09997830788 -002 00003233576 1393662972101 -06709126047 05033865944
Log(Total Actual Collections rentable sf) Age 00015178151 10015189676 015 0003670824 1398532082324 04134807595 06798877496
Log(Total Actual Collections rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00249154485 10252284322 252 0067842812 1423468871242 03672525904 07139760316
Log(Management Fee rentable sf) Intercept -02128803278 08082528568 -1917 04254329778 585619088893 -0500385111 06186792644
Log(Management Fee rentable sf) Green Certified (1=yes 0=no)[Yes] 0019865513 10200641454 201 00593086525 1354977267554 03349513461 07381797603
Log(Management Fee rentable sf) Gym (1=yes 0=no)[Yes] -00082052627 09918283086 -082 00958032958 1386068833723 -00856469772 09318706455
Log(Management Fee rentable sf) Pool (1=yes 0=no)[Yes] 00174275629 10175803089 176 00771880661 202180965349 02257805358 08236388274
Log(Management Fee rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00153191452 10154370848 154 01103651216 1423896402644 01388042255 08898009734
Log(Management Fee rentable sf) Walk Score 00070459229 10070708039 071 00028008303 805559990921 25156550566 0013868745
Log(Management Fee rentable sf) of Unfurnished Apartments -0001358177 09986427449 -014 00003916726 1421224837061 -34676335479 00006950146
Log(Management Fee rentable sf) Average Apt Unit Size -00005130214 09994871101 -005 00003375961 1007585612206 -15196307445 0131735624
Log(Management Fee rentable sf) Age 00013613923 10013623194 014 00037151697 1277713043957 03664414822 07146417588
Log(Management Fee rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -00674463479 09347778721 -652 00657081953 1299283630266 -10264525997 03065854809
Log(Total Utilities Rentable sf) Intercept -03748562337 06873880949 -3126 04464274077 1402143832266 -08396801522 04025171642
Log(Total Utilities Rentable sf) Green Certified (1=yes 0=no)[Yes] 00873163337 10912418217 912 0064576715 1358457024729 13521334071 01785794114
Log(Total Utilities Rentable sf) Gym (1=yes 0=no)[Yes] 01175979311 11247917766 1248 01048349264 1384172144229 11217438221 02639135776
Log(Total Utilities Rentable sf) Pool (1=yes 0=no)[Yes] 00115680134 10116351816 116 00928512423 72633370166 01245865221 09011950626
Log(Total Utilities Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00222539972 10225034645 225 01216524447 1425571484619 01829309493 0855112103
Log(Total Utilities Rentable sf) Walk Score 00068649233 10068885409 069 00029812807 1396033046894 23026759291 00227754146
Log(Total Utilities Rentable sf) of Unfurnished Apartments -00006773222 09993229071 -007 00004273761 1401067188346 -15848386198 01152575495
Log(Total Utilities Rentable sf) Average Apt Unit Size -00003442022 0999655857 -003 00003581401 1425120147852 -09610825805 03381384619
Log(Total Utilities Rentable sf) Age 00048795122 10048914364 049 00040600929 1425855030198 12018227897 02314244716
Log(Total Utilities Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -01198355423 08870663096 -1129 00742421382 1413320388001 -16141176043 01087323819
Log(MampR rentable sf) Intercept -09030689887 04053238148 -5947 0437858541 1384008312652 -20624674504 00410332652
Log(MampR rentable sf) Green Certified (1=yes 0=no)[Yes] 00937424436 10982768413 983 00639155521 1376081716673 14666609392 01447499128
Log(MampR rentable sf) Gym (1=yes 0=no)[Yes] 00037664885 10037735907 038 01036113865 1396450691334 00363520715 09710535435
Log(MampR rentable sf) Pool (1=yes 0=no)[Yes] 01319613595 11410642271 1411 00887446725 719561267791 14869778183 0141389644
Log(MampR rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00521515872 09491849716 -508 01197720975 1428478988157 -04354235112 06639122497
Log(MampR rentable sf) Walk Score 00110131704 10110740386 111 00029197236 1385662208531 37719907631 00002391344
Log(MampR rentable sf) of Unfurnished Apartments -00008849955 09991153959 -009 00004219429 1410140957414 -20974297602 0037740228
Log(MampR rentable sf) Average Apt Unit Size 00000594506 10000594524 001 0000353075 1429981472006 01683796031 08665225748
Log(MampR rentable sf) Age 0007624822 1007653965 077 00039990018 142990029884 19066812998 00585678315
Log(MampR rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00598131349 10616381449 616 00727173027 1406732379184 08225433659 04121598071
Log(Subtotal Maintenance rentable sf) Intercept -07997344997 04494482769 -5506 0489167182 1380935604874 -16348899298 01043496414
Log(Subtotal Maintenance rentable sf) Green Certified (1=yes 0=no)[Yes] 01180969773 11253532398 1254 00707986514 1348907221481 16680681771 00976219515
Log(Subtotal Maintenance rentable sf) Gym (1=yes 0=no)[Yes] 00409351965 10417845921 418 01148796072 1378640116803 03563312718 07221372278
Log(Subtotal Maintenance rentable sf) Pool (1=yes 0=no)[Yes] 01515780559 11636691295 1637 0100780712 617547240206 15040383505 01376688864
Log(Subtotal Maintenance rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -0078076377 09248937833 -751 01331885868 1426567369893 -05862092154 05586613077
Log(Subtotal Maintenance rentable sf) Walk Score 0011889233 10119601909 120 00032614069 1377504918879 36454307183 00003773801
Log(Subtotal Maintenance rentable sf) of Unfurnished Apartments -00008153416 09991849907 -008 00004682078 1398534995511 -17414095506 00838107083
Log(Subtotal Maintenance rentable sf) Average Apt Unit Size 00005083484 10005084776 005 00003930253 1428434249161 12934242295 01979520949
Log(Subtotal Maintenance rentable sf) Age 00104106727 10104650523 105 00044515054 1428449267664 23386858733 00207383998
Log(Subtotal Maintenance rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 02440298206 12763823925 2764 0081177414 1402563601749 30061295196 00031359748
Log(Property Insurance rentable sf) Intercept -08916874806 04099633635 -5900 04516384713 1429624291993 -19743390727 00502702101
Log(Property Insurance rentable sf) Green Certified (1=yes 0=no)[Yes] 01239058141 11319092561 1319 0062692592 1281678143933 19764027959 00502564371
Log(Property Insurance rentable sf) Gym (1=yes 0=no)[Yes] -0003522638 09964835593 -035 01024969537 1314939748594 -0034368221 09726356404
Log(Property Insurance rentable sf) Pool (1=yes 0=no)[Yes] 00227423743 10230029538 230 01040308572 1125700947624 02186118131 08273482928
Log(Property Insurance rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00155809876 10157030041 157 01206677853 1368483458399 01291230096 08974498986
Log(Property Insurance rentable sf) Walk Score 00072977866 10073244804 073 00030353828 1428602075435 24042392705 00174877086
Log(Property Insurance rentable sf) of Unfurnished Apartments -00010061941 09989943119 -010 0000420017 1337858380697 -23956034086 00179774093
Log(Property Insurance rentable sf) Average Apt Unit Size -00006330482 09993671521 -006 00003514502 1338864329416 -18012458048 0073914725
Log(Property Insurance rentable sf) Age 00009661099 10009665767 010 00039921418 1338497494964 02420028921 08091483095
Log(Property Insurance rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -00520208103 09493091112 -507 00749301111 1411273861679 -06942577501 04886618561
Log(Total All Expenses Rentable sf) Intercept 17410862845 57035357214 47035 03946731547 141889623796 44114636723 00000201648
Log(Total All Expenses Rentable sf) Green Certified (1=yes 0=no)[Yes] 01231722438 11310792255 1311 00565275641 1341244163534 21789766772 00310802733
Log(Total All Expenses Rentable sf) Gym (1=yes 0=no)[Yes] 00096244971 10096709615 097 00919378962 1370603130567 01046847658 09167789899
Log(Total All Expenses Rentable sf) Pool (1=yes 0=no)[Yes] 01610294116 11747195186 1747 00846545666 801516751987 19021940341 00607378863
Log(Total All Expenses Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00361842114 09644626121 -355 01071504659 1418739239709 -03376953252 07360919324
Log(Total All Expenses Rentable sf) Walk Score 00087371658 10087754463 088 00026426023 1411809488418 33062734678 00011989895
Log(Total All Expenses Rentable sf) of Unfurnished Apartments -00008720665 09991283137 -009 00003752966 1389800988186 -23236728617 00215934791
Log(Total All Expenses Rentable sf) Average Apt Unit Size -0000155413 0999844599 -002 00003145108 1409449329598 -0494142052 06219751067
Log(Total All Expenses Rentable sf) Age 00015666155 10015678433 016 00035695206 1412387206124 04388868073 06614142124
Log(Total All Expenses Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00157918953 10159172462 159 00657593447 1424551160559 02401467861 08105616925
Log(NOI Rentable sf) Intercept 27416093787 155119295878 145119 049686036 1426328429735 55178669889 0000000157
Log(NOI Rentable sf) Green Certified (1=yes 0=no)[Yes] 00932241108 10977077159 977 00701671113 1292740226257 13286012361 01863200879
Log(NOI Rentable sf) Gym (1=yes 0=no)[Yes] 0111280688 11177085902 1177 0114413579 13320261997 09726178396 03325061802
Log(NOI Rentable sf) Pool (1=yes 0=no)[Yes] -00608871507 0940929417 -591 01107002034 838263437204 -05500184174 05837693269
Log(NOI Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -01393113526 08699571229 -1300 01340931949 1397855428856 -10389144106 03006382455
Log(NOI Rentable sf) Walk Score 00045000262 10045101666 045 0003337636 1423581725818 13482675372 01797136327
Log(NOI Rentable sf) of Unfurnished Apartments -00007116645 09992885887 -007 00004679272 1358400867851 -15208872073 01306124688
Log(NOI Rentable sf) Average Apt Unit Size -00001937801 09998062387 -002 00003921685 1372175013367 -04941245389 06220083144
Log(NOI Rentable sf) Age 00034607088 1003466704 035 00044548378 1376438770548 07768428318 04385844885
Log(NOI Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00488697769 10500835966 501 00828565286 1429949688826 05898120243 0556247504
Concessions rentable sf Intercept 0091580439 10959049266 959 12772069558 1418541020247 00717036801 09429387231
Concessions rentable sf Green Certified (1=yes 0=no)[Yes] 01110697527 11174728508 1175 01814813765 1293641668833 06120173584 05416004511
Concessions rentable sf Gym (1=yes 0=no)[Yes] -05094051331 06008529 -3991 02955403985 1336296409402 -17236395961 00870857294
Concessions rentable sf Pool (1=yes 0=no)[Yes] -00886152984 09151975838 -848 02791864929 69298361986 -03174053928 07518903943
Concessions rentable sf Outdoor Common Area (1=yes 0=no)[Yes] 04576291372 15803228114 5803 03455726285 1408379747117 13242632646 01875606951
Concessions rentable sf Walk Score 00120688741 10121419968 121 00085630896 1409791646097 14094064916 01609170757
Concessions rentable sf of Unfurnished Apartments -00007045588 09992956894 -007 00012075862 1364744404696 -05834438741 05605574922
Concessions rentable sf Average Apt Unit Size -00003193903 09996806607 -003 00010135961 1389703034326 -03151061148 07531537379
Concessions rentable sf Age 00130223218 10131074815 131 00115086772 139464867267 11315220311 02597773256
Concessions rentable sf Building Mix (0=multifamily 1 = mixed-use)[Mixed] -03719888249 06893619462 -3106 02129597676 1426034459287 -17467563435 00828326573
Y Term Practical Interpretation increasedecrease Probgt|t| Total Rents Collected Subtotal Maintenance Property Insurance Total Expenses
Log(Total Rents Collected rentable sf) Green Certified (1=yes 0=no)[Yes] 1047
Hopkins Erin Hopkins Erincant provide a confidencd interval for it
009 130837635934 13311489362 01847683215 67633617021
Log(Subtotal Maintenance rentable sf) Green Certified (1=yes 0=no)[Yes] 1254 010 267662568114 08839769656 0489370035 133484365708
Log(Property Insurance rentable sf) Green Certified (1=yes 0=no)[Yes] 1319 005 44887430941 07758149459 02417429373 41261056301
Log(Total All Expenses Rentable sf) Green Certified (1=yes 0=no)[Yes] 1311 003 103066299601 12390720963 00474343371 5067818194
206907297628 2385711159 02072356932 9194606526
318766961061 22633758919 04452208547 128154919371
92461669878 09545425866 01280485733 38832017239
143925847783 15966970999 02187893202 54018796992
176714125561 02006495648 02876780533 58992020575
232897515382 0726170332 00787094673 69517596041
Non-green sf average Financial Green Impact sf Financial green impact differencesf Green impactapt Green impactproperty 51780910259 05203453537 00494304264 22609306646
178353784788 17547710996 02048626598 95961490345
Total Rents Collected sf 1047 2356 2603 $ 247 $ 2189 $ 551683 113769814112 12206875575 03432049607 118156743193
Subtotal Maintenance sf 1254 160 180 $ 020 $ 178 $ 44843 301239240258 10561596849 0204970258 110903994641
Property Insurance sf 1319 036 041 $ 005 $ 42 $ 10601 918584487 08376649832 00914663991 4146546939
Total Expenses sf 1311 852 963 $ 112 $ 990 $ 249535 265183769576 19294929362 03500602344 108447158033
226055903548 13557897255 03988791741 10971207244
334894587007 17970717884 05122599181 124640467569
5542518821 31394328066 04875650977 200668786372
112655732059 13445692884 02031297086 43995867235
129139526152 1168069688 00518980213 4651511283
Avg Apt Size Avg of Units 151098478261 13975 02004130435 51873478261
192155046737 21015937064 02616549091 8357602264
887 252 514840434082 52766375656 02375463267 174375582672
81421971535 06694487849 00899424521 2748686222
30246817244 21594341279 03308639536 97277207077
488523197409 27727612187 0646599696 130752346177
318750561687 38903340576 03852711795 142409683793
310384048163 43119745565 03335824966 138846874251
Green Certification Impacts 48578215663 0350218077 03095574205 23695139998
Dependent Variable Per Square Foot Per Apartment Per Property 192237574111 13374121765 02053242615 84027476689
Total Rents Collected $ 247 $ 2189 $ 551683 62979912788 05343191729 00816289996 45390243161
Subtotal Maintenance $ 020 $ 178 $ 44843 148378959661 14651715909 02004049722 80900580942
Property Insurance $ 005 $ 42 $ 10601 196798863889 11267176542 02499920663 90266351433
Total Expenses $ 112 $ 990 $ 249535 281508617823 09686995581 01118170881 119863342059
58584849751 0106864586 04187933949 44180073736
126756167712 1265684516 02796423029 87538414144
176550549412 24957340254 02343899179 88904473415
252421786235 28063734042 03142238564 133776179357
191875932907 13637043757 03440324697 987034902
159508092934 13109374847 02091697013 98967206196
342739845467 09614092295 03929892961 129755936769
192510355167 32804720611 01743191858 134560085596
257829360401 13666691797 01527100011 56329812754
358622391559 14251973427 03437553732 101098436889
217744157919 24046486586 01864745418 68711016642
222112557003 22022148788 07879755849 97807110765
202535763689 04548110217 10003436751 127886698915
155879815194 23816051158 04816227091 119033557201
11066078843 23413202706 06413902496 81812176347
151924709838 18873401649 05711000232 105403544539
163604010853 16052949068 02714509557 82030431823
133974400047 11018949984 03560839935 59096477943
133528448829 13647819036 02538331588 66159357367
187400008959 16889788117 030870974 115752907975
155246293804 18308314258 03852380906 116657595614
34082816218 05447090935 09838411173 13641308574
201220131342 11192465065 03188344246 93786154242
139108532616 13313944086 03887737775 69698295902
191656858207 15717927807 06002115982 119380046581
200921599083 12597596226 03267106334 82474085087
57536742874 00453219212 00300766262 10569757217
120548294116 11607892527 03275736725 74435143659
123188534664 1404028789 03510968138 78762080781
59543029729 0899713372 01652374748 28143456117
144215639215 19193238703 02899837711 67370054173
340046684831 19619729415 04325060698 120608464163
208244777176 28183367899 037 73104355304
234349752613 19432301154 0351134881 107484594815
136370903402 17029933791 01989576534 50899930579
149968383478 14209793679 02735642323 63813718869
81145819519 0920766851 00474564037 30674168785
226307446224 12529424404 02036192613 69235920453
132787305462 08047482453 01232346659 41808605432
251519090044 21798380428 0376480317 80396623551
492269138212 12196979039 02981674812 128316943664
107177195916 08016374211 0113808252 40618650625
128238528886 10751217142 01843492552 6476830365
57582611557 11908427448 0874334536 134004066235
43835651097 34822540694 03904989384 146763800425
205787355386 1429219053 02624404931 5321754079
463148430769 07709353846 06150738462 101617384615
377949548611 28670972222 08296944444 109743576389
360087564176 03501711352 18551055334 110041072447
18371979614 18232783153 07267294459 61184870906
678035276363 13443501226 10431616676 167533484248
56073359244 10138647576 01591318768 51440832304
189431314891 05101557395 03677787459 41010945328
383550342095 23244425576 04086557393 98151764619
115544349685 03310482653 037 40344851625
7552318246 0955023726 01241945851 24368780848
133083101881 19451300341 00938801919 48731378614
122308363087 13760780005 01439989014 45100624828
84908269322 10857071617 01155797799 36082570734
263116048067 10733627163 041902582 60372732395
76183752731 09621126305 01069925907 26170373239
172494454001 11781600332 03919686814 59016193131
342076422068 22741368431 03165622465 73557085549
215534567901 1485497076 02210396361 49118778428
314593058927 23798916958 02751353803 121998559501
586535191691 21029046354 02109026171 91979074439
138093310078 14595490221 02142269839 44286283792
227203645682 04584630891 05737147639 93344680527
572754455737 17713614269 01642228739 92545561671
60603870458 04541110154 01180884676 15902125521
358781017266 33847643857 06854022643 139200146946
342079216629 24477703832 0463059603 67166143833
651201231187 51019950176 12529595849 222094150831
369798669702 21700816928 0444474205 101410502507
421838575952 28823013788 05443272608 151399739597
626095189209 20826275416 04947814184 184651096472
214882899762 25034709712 06359683889 109534721722
274037120739 26718517094 037 67504928595
252667703737 25588590114 05379535858 109041874345
59253832495 01099622961 04620367393 19262874847
150862851538 18053109961 07398729558 71488607075
111196959019 00928417366 037 09427894164
667360269858 07921160191 02989609494 104670639024
2356 160 036 852
Log(Vacancies amp Rent Loss rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified -00318 00916 -00313 07289
Fitness Center 01008 01480 01060 04969
Pool 01126 01133 01192 03253
Outdoor Common Area 02673 01691 03064 01162
Walk Score 00102 00041 00102 00140
of Unfurnished Apartments -00003 00006 -00003 06769
Average Apt Unit Size -00003 00005 -00003 06067
Age -00026 00056 -00026 06428
Building Mix 00099 01008 00099 09219
Note R2 = 645
Log(Total Rents Collected rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00996 00591 01047 00941
Fitness Center 00684 00962 00708 04783
Pool 00089 00916 00089 09231
Outdoor Common Area -00837 01126 -00803 04587
Walk Score 00065 00028 00065 00218
of Unfurnished Apartments -00009 00004 -00009 00290
Average Apt Unit Size -00002 00003 -00002 05298
Age 00008 00037 00008 08237
Building Mix 00043 00695 00043 09507
Note R2 = 3318
Log(Total Actual Collections rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00944 00579 00991 01052
Fitness Center 00739 00942 00767 04343
Pool 00130 00886 00131 08834
Outdoor Common Area -00794 01102 -00764 04721
Walk Score 00066 00027 00066 00176
of Unfurnished Apartments -00008 00004 -00008 00322
Average Apt Unit Size -00002 00003 -00002 05034
Age 00015 00037 00015 06799
Building Mix 00249 00678 00252 07140
Note R2 = 3219
Log(Management Fee rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00199 00593 00201 07382
Fitness Center -00082 00958 -00082 09319
Pool 00174 00772 00176 08236
Outdoor Common Area 00153 01104 00154 08898
Walk Score 00070 00028 00071 00139
of Unfurnished Apartments -00014 00004 -00014 00007
Average Apt Unit Size -00005 00003 -00005 01317
Age 00014 00037 00014 07146
Building Mix -00674 00657 -00652 03066
Note R2 = 1697
Log(Total Utilities Rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00873 00646 00912 01786
Fitness Center 01176 01048 01248 02639
Pool 00116 00929 00116 09012
Outdoor Common Area 00223 01217 00225 08551
Walk Score 00069 00030 00069 00228
of Unfurnished Apartments -00007 00004 -00007 01153
Average Apt Unit Size -00003 00004 -00003 03381
Age 00049 00041 00049 02314
Building Mix -01198 00742 -01129 01087
Note R2 = 2171
Log(MampR rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00937 00639 00983 01447
Fitness Center 00038 01036 00038 09711
Pool 01320 00887 01411 01414
Outdoor Common Area -00522 01198 -00508 06639
Walk Score 00110 00029 00111 00002
of Unfurnished Apartments -00009 00004 -00009 00377
Average Apt Unit Size 00001 00004 00001 08665
Age 00076 00040 00077 00586
Building Mix 00598 00727 00616 04122
Note R2 = 2620
Log(Subtotal Maintenance rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 01181 00708 01254 00976
Fitness Center 00409 01149 00418 07221
Pool 01516 01008 01637 01377
Outdoor Common Area -00781 01332 -00751 05587
Walk Score 00119 00033 00120 00004
of Unfurnished Apartments -00008 00005 -00008 00838
Average Apt Unit Size 00005 00004 00005 01980
Age 00104 00045 00105 00207
Building Mix 02440 00812 02764 00031
Note R2 = 3218
Log(Property Insurance rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 01239 00627 01319 00503
Fitness Center -00035 01025 -00035 09726
Pool 00227 01040 00230 08273
Outdoor Common Area 00156 01207 00157 08974
Walk Score 00073 00030 00073 00175
of Unfurnished Apartments -00010 00004 -00010 00180
Average Apt Unit Size -00006 00004 -00006 00739
Age 00010 00040 00010 08091
Building Mix -00520 00749 -00507 04887
Note R2 = 3902
Log(Total All Expenses Rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 01232 00565 01311 00311
Fitness Center 00096 00919 00097 09168
Pool 01610 00847 01747 00607
Outdoor Common Area -00362 01072 -00355 07361
Walk Score 00087 00026 00088 00012
of Unfurnished Apartments -00009 00004 -00009 00216
Average Apt Unit Size -00002 00003 -00002 06220
Age 00016 00036 00016 06614
Building Mix 00158 00658 00159 08106
Note R2 = 2943
Log(NOI Rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00932 00702 00977 01863
Fitness Center 01113 01144 01177 03325
Pool -00609 01107 -00591 05838
Outdoor Common Area -01393 01341 -01300 03006
Walk Score 00045 00033 00045 01797
of Unfurnished Apartments -00007 00005 -00007 01306
Average Apt Unit Size -00002 00004 -00002 06220
Age 00035 00045 00035 04386
Building Mix 00489 00829 00501 05562
Note R2 = 3669
Concessions rentable sf
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 01111 01815 01175 05416
Fitness Center -05094 02955 -03991 00871
Pool -00886 02792 -00848 07519
Outdoor Common Area 04576 03456 05803 01876
Walk Score 00121 00086 00121 01609
of Unfurnished Apartments -00007 00012 -00007 05606
Average Apt Unit Size -00003 00010 -00003 07532
Age 00130 00115 00131 02598
Building Mix -03720 02130 -03106 00828
Note R2 = 2402
Y Term ~Bias Estimate EXP estimate Practical Interpretation increasedecrease Std Error DFDen t Ratio Probgt|t| Estimate Std Error Practical Interpretation Significance
Log(Vacancies amp Rent Loss rentable sf) Intercept 00893029328 10934118365 934 06116337119 1083785495375 01460072116 08841869197 Green Cert
Log(Vacancies amp Rent Loss rentable sf) Green Certified (1=yes 0=no)[Yes] -0031825668 09686754385 -313 009164153 139931853592 -03472843369 07288994904 Gym
Log(Vacancies amp Rent Loss rentable sf) Gym (1=yes 0=no)[Yes] 01007730854 11060256399 1060 01479591517 1412043780621 0681087207 0496931725
Log(Vacancies amp Rent Loss rentable sf) Pool (1=yes 0=no)[Yes] 01125884395 11191712315 1192 0113345701 506840641957 09933190097 032527325
Log(Vacancies amp Rent Loss rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 02672618233 13063824429 3064 01690835398 1429144230275 15806495624 01161688791
Log(Vacancies amp Rent Loss rentable sf) Walk Score 00101642302 10102160615 102 00040763935 1219632686439 24934369735 00139912712
Log(Vacancies amp Rent Loss rentable sf) of Unfurnished Apartments -0000250981 09997490505 -003 00006011213 142449410245 -04175214322 06769256723
Log(Vacancies amp Rent Loss rentable sf) Average Apt Unit Size -00002575258 09997425074 -003 00004990119 1315989429881 -05160713681 06066705884
Log(Vacancies amp Rent Loss rentable sf) Age -00026152008 09973882158 -026 00056263988 1391583522195 -04648090107 06427946925
Log(Vacancies amp Rent Loss rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00099001013 10099492694 099 0100821633 1384002310718 00981942166 09219201454
Log(Total Rents Collected rentable sf) Intercept 30195696974 204824761253 194825 04164909532 1420770663705 72500246992 0
Log(Total Rents Collected rentable sf) Green Certified (1=yes 0=no)[Yes] 00996165255 11047471944 1047
Hopkins Erin Hopkins Erincant provide a confidencd interval for it
00590542761 1286416575023 16868638818 0094053065 0099617 00590542761 1047
Log(Total Rents Collected rentable sf) Gym (1=yes 0=no)[Yes] 00684081888 10708023088 708 0096210834 1330244953516 07110237581 04783143732
Log(Total Rents Collected rentable sf) Pool (1=yes 0=no)[Yes] 00088712036 10089106694 089 00916333982 708572236354 00968119025 09231490817
Log(Total Rents Collected rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00836597449 09197441505 -803 01126005752 1404546011941 -07429779537 04587359136
Log(Total Rents Collected rentable sf) Walk Score 0006479206 10065002414 065 0002794287 1413201347208 23187331419 00218436949
Log(Total Rents Collected rentable sf) of Unfurnished Apartments -00008678845 0999132492 -009 00003932429 1359586026848 -22069932213 00289920945 variance components to talk about how much of the total error that is attribuatle to city
Log(Total Rents Collected rentable sf) Average Apt Unit Size -00002078918 09997921298 -002 00003300088 1382568544162 -06299582685 05297616269
Log(Total Rents Collected rentable sf) Age 00008364704 10008368204 008 00037477419 1387794745176 02231931757 08237133506
Log(Total Rents Collected rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00042999624 10043092206 043 0069466499 142786243042 00618998008 09507291881
Log(Total Actual Collections rentable sf) Intercept 30681072891 215011686418 205012 04070110501 1415072794017 75381424868 0
Log(Total Actual Collections rentable sf) Green Certified (1=yes 0=no)[Yes] 00944491888 10990533175 991 00578900924 1291837028308 16315259643 01052148631
Log(Total Actual Collections rentable sf) Gym (1=yes 0=no)[Yes] 00739127176 10767128233 767 0094247393 1335821297113 07842415071 04342868782
Log(Total Actual Collections rentable sf) Pool (1=yes 0=no)[Yes] 00130418887 10131273051 131 00885804441 654593026021 01472321442 08834013324
Log(Total Actual Collections rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00794248992 0923647384 -764 01101507414 1410305976559 -07210564195 04720684016
Log(Total Actual Collections rentable sf) Walk Score 00065530115 10065745295 066 00027272037 14047408887 24028316857 00175745575
Log(Total Actual Collections rentable sf) of Unfurnished Apartments -0000833078 09991672689 -008 00003850262 1365168778586 -21636916411 00322285543
Log(Total Actual Collections rentable sf) Average Apt Unit Size -00002169447 09997830788 -002 00003233576 1393662972101 -06709126047 05033865944
Log(Total Actual Collections rentable sf) Age 00015178151 10015189676 015 0003670824 1398532082324 04134807595 06798877496
Log(Total Actual Collections rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00249154485 10252284322 252 0067842812 1423468871242 03672525904 07139760316
Log(Management Fee rentable sf) Intercept -02128803278 08082528568 -1917 04254329778 585619088893 -0500385111 06186792644
Log(Management Fee rentable sf) Green Certified (1=yes 0=no)[Yes] 0019865513 10200641454 201 00593086525 1354977267554 03349513461 07381797603
Log(Management Fee rentable sf) Gym (1=yes 0=no)[Yes] -00082052627 09918283086 -082 00958032958 1386068833723 -00856469772 09318706455
Log(Management Fee rentable sf) Pool (1=yes 0=no)[Yes] 00174275629 10175803089 176 00771880661 202180965349 02257805358 08236388274
Log(Management Fee rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00153191452 10154370848 154 01103651216 1423896402644 01388042255 08898009734
Log(Management Fee rentable sf) Walk Score 00070459229 10070708039 071 00028008303 805559990921 25156550566 0013868745
Log(Management Fee rentable sf) of Unfurnished Apartments -0001358177 09986427449 -014 00003916726 1421224837061 -34676335479 00006950146
Log(Management Fee rentable sf) Average Apt Unit Size -00005130214 09994871101 -005 00003375961 1007585612206 -15196307445 0131735624
Log(Management Fee rentable sf) Age 00013613923 10013623194 014 00037151697 1277713043957 03664414822 07146417588
Log(Management Fee rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -00674463479 09347778721 -652 00657081953 1299283630266 -10264525997 03065854809
Log(Total Utilities Rentable sf) Intercept -03748562337 06873880949 -3126 04464274077 1402143832266 -08396801522 04025171642
Log(Total Utilities Rentable sf) Green Certified (1=yes 0=no)[Yes] 00873163337 10912418217 912 0064576715 1358457024729 13521334071 01785794114
Log(Total Utilities Rentable sf) Gym (1=yes 0=no)[Yes] 01175979311 11247917766 1248 01048349264 1384172144229 11217438221 02639135776
Log(Total Utilities Rentable sf) Pool (1=yes 0=no)[Yes] 00115680134 10116351816 116 00928512423 72633370166 01245865221 09011950626
Log(Total Utilities Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00222539972 10225034645 225 01216524447 1425571484619 01829309493 0855112103
Log(Total Utilities Rentable sf) Walk Score 00068649233 10068885409 069 00029812807 1396033046894 23026759291 00227754146
Log(Total Utilities Rentable sf) of Unfurnished Apartments -00006773222 09993229071 -007 00004273761 1401067188346 -15848386198 01152575495
Log(Total Utilities Rentable sf) Average Apt Unit Size -00003442022 0999655857 -003 00003581401 1425120147852 -09610825805 03381384619
Log(Total Utilities Rentable sf) Age 00048795122 10048914364 049 00040600929 1425855030198 12018227897 02314244716
Log(Total Utilities Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -01198355423 08870663096 -1129 00742421382 1413320388001 -16141176043 01087323819
Log(MampR rentable sf) Intercept -09030689887 04053238148 -5947 0437858541 1384008312652 -20624674504 00410332652
Log(MampR rentable sf) Green Certified (1=yes 0=no)[Yes] 00937424436 10982768413 983 00639155521 1376081716673 14666609392 01447499128
Log(MampR rentable sf) Gym (1=yes 0=no)[Yes] 00037664885 10037735907 038 01036113865 1396450691334 00363520715 09710535435
Log(MampR rentable sf) Pool (1=yes 0=no)[Yes] 01319613595 11410642271 1411 00887446725 719561267791 14869778183 0141389644
Log(MampR rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00521515872 09491849716 -508 01197720975 1428478988157 -04354235112 06639122497
Log(MampR rentable sf) Walk Score 00110131704 10110740386 111 00029197236 1385662208531 37719907631 00002391344
Log(MampR rentable sf) of Unfurnished Apartments -00008849955 09991153959 -009 00004219429 1410140957414 -20974297602 0037740228
Log(MampR rentable sf) Average Apt Unit Size 00000594506 10000594524 001 0000353075 1429981472006 01683796031 08665225748
Log(MampR rentable sf) Age 0007624822 1007653965 077 00039990018 142990029884 19066812998 00585678315
Log(MampR rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00598131349 10616381449 616 00727173027 1406732379184 08225433659 04121598071
Log(Subtotal Maintenance rentable sf) Intercept -07997344997 04494482769 -5506 0489167182 1380935604874 -16348899298 01043496414
Log(Subtotal Maintenance rentable sf) Green Certified (1=yes 0=no)[Yes] 01180969773 11253532398 1254 00707986514 1348907221481 16680681771 00976219515
Log(Subtotal Maintenance rentable sf) Gym (1=yes 0=no)[Yes] 00409351965 10417845921 418 01148796072 1378640116803 03563312718 07221372278
Log(Subtotal Maintenance rentable sf) Pool (1=yes 0=no)[Yes] 01515780559 11636691295 1637 0100780712 617547240206 15040383505 01376688864
Log(Subtotal Maintenance rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -0078076377 09248937833 -751 01331885868 1426567369893 -05862092154 05586613077
Log(Subtotal Maintenance rentable sf) Walk Score 0011889233 10119601909 120 00032614069 1377504918879 36454307183 00003773801
Log(Subtotal Maintenance rentable sf) of Unfurnished Apartments -00008153416 09991849907 -008 00004682078 1398534995511 -17414095506 00838107083
Log(Subtotal Maintenance rentable sf) Average Apt Unit Size 00005083484 10005084776 005 00003930253 1428434249161 12934242295 01979520949
Log(Subtotal Maintenance rentable sf) Age 00104106727 10104650523 105 00044515054 1428449267664 23386858733 00207383998
Log(Subtotal Maintenance rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 02440298206 12763823925 2764 0081177414 1402563601749 30061295196 00031359748
Log(Property Insurance rentable sf) Intercept -08916874806 04099633635 -5900 04516384713 1429624291993 -19743390727 00502702101
Log(Property Insurance rentable sf) Green Certified (1=yes 0=no)[Yes] 01239058141 11319092561 1319 0062692592 1281678143933 19764027959 00502564371
Log(Property Insurance rentable sf) Gym (1=yes 0=no)[Yes] -0003522638 09964835593 -035 01024969537 1314939748594 -0034368221 09726356404
Log(Property Insurance rentable sf) Pool (1=yes 0=no)[Yes] 00227423743 10230029538 230 01040308572 1125700947624 02186118131 08273482928
Log(Property Insurance rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00155809876 10157030041 157 01206677853 1368483458399 01291230096 08974498986
Log(Property Insurance rentable sf) Walk Score 00072977866 10073244804 073 00030353828 1428602075435 24042392705 00174877086
Log(Property Insurance rentable sf) of Unfurnished Apartments -00010061941 09989943119 -010 0000420017 1337858380697 -23956034086 00179774093
Log(Property Insurance rentable sf) Average Apt Unit Size -00006330482 09993671521 -006 00003514502 1338864329416 -18012458048 0073914725
Log(Property Insurance rentable sf) Age 00009661099 10009665767 010 00039921418 1338497494964 02420028921 08091483095
Log(Property Insurance rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -00520208103 09493091112 -507 00749301111 1411273861679 -06942577501 04886618561
Log(Total All Expenses Rentable sf) Intercept 17410862845 57035357214 47035 03946731547 141889623796 44114636723 00000201648
Log(Total All Expenses Rentable sf) Green Certified (1=yes 0=no)[Yes] 01231722438 11310792255 1311 00565275641 1341244163534 21789766772 00310802733
Log(Total All Expenses Rentable sf) Gym (1=yes 0=no)[Yes] 00096244971 10096709615 097 00919378962 1370603130567 01046847658 09167789899
Log(Total All Expenses Rentable sf) Pool (1=yes 0=no)[Yes] 01610294116 11747195186 1747 00846545666 801516751987 19021940341 00607378863
Log(Total All Expenses Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00361842114 09644626121 -355 01071504659 1418739239709 -03376953252 07360919324
Log(Total All Expenses Rentable sf) Walk Score 00087371658 10087754463 088 00026426023 1411809488418 33062734678 00011989895
Log(Total All Expenses Rentable sf) of Unfurnished Apartments -00008720665 09991283137 -009 00003752966 1389800988186 -23236728617 00215934791
Log(Total All Expenses Rentable sf) Average Apt Unit Size -0000155413 0999844599 -002 00003145108 1409449329598 -0494142052 06219751067
Log(Total All Expenses Rentable sf) Age 00015666155 10015678433 016 00035695206 1412387206124 04388868073 06614142124
Log(Total All Expenses Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00157918953 10159172462 159 00657593447 1424551160559 02401467861 08105616925
Log(NOI Rentable sf) Intercept 27416093787 155119295878 145119 049686036 1426328429735 55178669889 0000000157
Log(NOI Rentable sf) Green Certified (1=yes 0=no)[Yes] 00932241108 10977077159 977 00701671113 1292740226257 13286012361 01863200879
Log(NOI Rentable sf) Gym (1=yes 0=no)[Yes] 0111280688 11177085902 1177 0114413579 13320261997 09726178396 03325061802
Log(NOI Rentable sf) Pool (1=yes 0=no)[Yes] -00608871507 0940929417 -591 01107002034 838263437204 -05500184174 05837693269
Log(NOI Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -01393113526 08699571229 -1300 01340931949 1397855428856 -10389144106 03006382455
Log(NOI Rentable sf) Walk Score 00045000262 10045101666 045 0003337636 1423581725818 13482675372 01797136327
Log(NOI Rentable sf) of Unfurnished Apartments -00007116645 09992885887 -007 00004679272 1358400867851 -15208872073 01306124688
Log(NOI Rentable sf) Average Apt Unit Size -00001937801 09998062387 -002 00003921685 1372175013367 -04941245389 06220083144
Log(NOI Rentable sf) Age 00034607088 1003466704 035 00044548378 1376438770548 07768428318 04385844885
Log(NOI Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00488697769 10500835966 501 00828565286 1429949688826 05898120243 0556247504
Concessions rentable sf Intercept 0091580439 10959049266 959 12772069558 1418541020247 00717036801 09429387231
Concessions rentable sf Green Certified (1=yes 0=no)[Yes] 01110697527 11174728508 1175 01814813765 1293641668833 06120173584 05416004511
Concessions rentable sf Gym (1=yes 0=no)[Yes] -05094051331 06008529 -3991 02955403985 1336296409402 -17236395961 00870857294
Concessions rentable sf Pool (1=yes 0=no)[Yes] -00886152984 09151975838 -848 02791864929 69298361986 -03174053928 07518903943
Concessions rentable sf Outdoor Common Area (1=yes 0=no)[Yes] 04576291372 15803228114 5803 03455726285 1408379747117 13242632646 01875606951
Concessions rentable sf Walk Score 00120688741 10121419968 121 00085630896 1409791646097 14094064916 01609170757
Concessions rentable sf of Unfurnished Apartments -00007045588 09992956894 -007 00012075862 1364744404696 -05834438741 05605574922
Concessions rentable sf Average Apt Unit Size -00003193903 09996806607 -003 00010135961 1389703034326 -03151061148 07531537379
Concessions rentable sf Age 00130223218 10131074815 131 00115086772 139464867267 11315220311 02597773256
Concessions rentable sf Building Mix (0=multifamily 1 = mixed-use)[Mixed] -03719888249 06893619462 -3106 02129597676 1426034459287 -17467563435 00828326573
Page 28: AUGUST 21- 23, 2018 • CLEVELAND, OHIO€¦ · Business Case 2.0: New Research Around High Performing Buildings Thursday 23 rd, 2018 10:30am – 12:00pm

Descriptive

73228

866

2011

74

259

894

2003

0

500

1000

1500

2000

2500

Walk Score Average Number of Units Average Apt Unit Size (sf) Age

Summary Statistics of Green vs Non-Green Properties

n = 153

Green Non-Green

Findings

Total Rents Collected1047

Total Maintenance1254

Property Insurance1319

Total Expenses1311

Higher rents and expenses

Financial Impacts of Green

Dependent Variable Per Square Foot Per Apartment Per PropertyTotal Rents Collected 247$ 2189$ 551683$ Subtotal Maintenance 020$ 178$ 44843$ Property Insurance 005$ 42$ 10601$ Total Expenses 112$ 990$ 249535$

Coefficients Standard Errors

Tables

Summary of Green Impacts

Summary Table

Discussion

bull Assume efficient operations will offset the higher rent

bull Philanthropic motivesbull Prestige motivesbull Green buildings tend to be newermore

likely to offer the more sought-after amenities and finishes

bull Tend to be in higher-income areaslikely have higher rents

Different motivations for paying higher rent may be in

play

Discussion

Higher Operating Expenses a Surprise

Does not align with much of the existing researchhellipbut no research on effects of green certification on total operating expenses within multifamily rental sector

Many of the certifications represented in this study focus on the design phase of the property vs the operations and maintenance phase

And although promotion of sustainability is on the rise in the multifamily housing sector staff may remain unfamiliar with the unique operations and maintenance of green

buildings

Final Thoughts

Apartment homes represent $13 trillion to the US economy and 5 million new rental households are expected by 2023 (National Multifamily Housing Council 2015)

Upfront capital constraints regulatory issues knowledge limitations and marketing concerns may diminish the attractiveness of multifamily rental green building

certification if not properly managed

Most studies focus on office sector andor strictly rents or property value

This study begins to look at the multifamily rental sector and offer a more comprehensive analysis

Further research is needed with larger datasets to understand effects of green certification on income statement components in the apartment industry as NOI

ultimately determines property market valueOptimism that this study can be the impetus for further research contributions on the

financial environmental and resident satisfaction impacts of green practices and certifications on the multifamily rental sector

Contact informationErin A Hopkinserinz1vtedu

Acknowledgementsbull Todd Feist Sustainability Program Manager at The Institute of

Real Estate Management (IREMreg) for his assistance with this research project

bull Yardi and IREMreg for the grant awarded to support this researchbull The two property management companies for sharing their data

BUILDING PERFORMANCE

UNLOCKINGVALUE

New DOE-driven Research Around High Performing Buildings

AUGUST 23 2018

ANDREW WHITEASSOCIATE MANAGERawhiteretechadvisorscom

2015-2016 bull Research design working group pilot study data lab

2017 bull Connect to Real Estate Research Institute (RERI) Literature review and gap analysis

2018 bull Research agenda request for proposals research project selection and execution

Context Setting ndash DOE Research EffortWhat are the impacts of energy efficiency and high-performance building

features on financial performance of commercial real estate

RERIrsquos mission is to encourage and reward research on real estate as an investment and as an asset class that is both academically rigorous and of value to the institutional real estate investment profession In addition RERI serves to provide a forum through which the real estate academic professional and regulatory communities can interact facilitating the exchange of insights amongst these stakeholders

RERI Overview

Sponsors

Build upon DOErsquos Review of Studies in the Market

bull Focus explicitly on peer-reviewed papers Gap analysis of existing research to

identifybull Questions that have already been

sufficiently provenbull Holes in existing body of research

Academic Inputbull Guidance on which studies to includebull Suggestions for how to conduct analysis

Literature Review Objectives

Literature Review Results

LEED

ENER

GY

ST

AR

labe

l

ENER

GY

ST

AR

sc

ore

Ener

gy u

se

BR

EEA

M

Ener

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Perf

orm

anc

e Cer

tific

ates

(U

K)

BO

MA

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Non

-ene

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n fe

atur

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Oth

er

Rent 20 18 1 2 2 2 1 1 1Rent concessions 1 1 1Sales price 9 11 1 1 1 1Assessed value 2 2Market value 1 2 1 2 1Occupancy 10 9 1Lease renewals 1 1 1Service charge 1Operating cost 2 3Energy cost 2 3Tenant satisfaction 1 1 1Sales time 1 1Default rate 2 1Capitalization rate 1 2 2 1Net operating income 1 1 1Loan to value ratio 1 1Debt service coverage ratio 1 1Worker productivity 1 1Other 5 4 1 4 2 2

There is considerable evidence that green building certifications correlate with increased economic value primarily via higher rents and sales prices

bull How do we move beyond certification to analyze performancebull Correlation vs Causation

bull What is driving added value Is it green features and efficiency the green labels themselves or other desirable features often included in certified buildings

Panel studies could help reduce some of the uncertainty and noise Full results presented at ACEEE Summer Study

bull Raising the Rent Premium Moving Green Building Research Beyond Certifications and Rent

bull Cindy Zhu Andrew White Paul Mathew Jeff Deason Philip Coleman

Literature Review Results

Research Agenda Core QuestionldquoHow does ltenergygreen metricgt affect ltfinancial value metricgtrdquo

EnergyGreen Metric

Site energy use or EUI

Source energy use or EUI

Energy cost or costsf

ENERGY STAR score

ENERGY STAR label

Green Building Certification (LEED BOMA 360)

Green Building Certification level (eg LEED Silver Gold)

Financial Value Metric

VacancyOccupancy Sales Price

Leasing Velocity (absorption speed of sales leasing)

Regulatory amp Compliance Risk

Tenant Renewals Insurance (rates ability)

Tenant Satisfaction Default Risk

Rental Income and Rent Concessions Debt Service Coverage Ratio

Marketing Costs Access to Funding

Utility Costs Maintenance OpEx Interest Rates

Obsolescence Reserves

Capitalization Rates

12 proposals received 5 projects selected Criteria

bull Department of Energy goals

bull Impact on Commercial Real Estate (CRE) Industry

bull Feasibility and Interest

bull Quality and Validity

Proposal Reviews

Jim Clayton Avis Devine (York University) and Rogier Holtermans(University of Guelph) Analyzing four types of energy

efficiency interventions on financial components that impact property-level NOI

bull How do interventions impact different aspects of building operations and their subsequent financial impact

Beyond Environmental Building Certification The Impact of Environmental Interventions on Commercial Real Estate Operations

Piet Eichholtz and Nils Kok (Maastricht University) and RogierHoltermans (University of Guelph) Three key questions

bull How is environmental building certification related to commercial building energy consumption

bull How does aging affect the energy consumption of the commercial building stock

bull To what extent do specific energy efficiency investments affect energy consumption in commercial real estate

The Dynamics of Energy Consumption in Commercial Real Estate

Sofia Dermisi Chris Lee and YoungjinChoe (University of Washington) Exploring the effect of disclosure

policies on office building marketability while assessing potential links between market performance of sustainable assets

bull Before and after the disclosure policies while considering market cycles

bull Before and after ENERGY STAR andor LEED certification

Markets included San Francisco Washington DC

Effect of Energy Benchmarking and Disclosure on Office Building Marketability

Dirk Brounen (Tilburg University) and Gianluca Marcato (Reading University) Analyzing the adoption of GRESB within the public real estate markets and

predicting a potential impact of GRESB scores on REIT returns

Sustainable Insights and Public Real Estate Performance GRESB Effects in REIT Markets

Constantine Kontokosta (New York University) Franz Fuerst(Cambridge University) Gary Pivo (University of Arizona) amp Jacob Sagi (UNC Chapel Hill) Utilizing NYC data to empirically model

bull the spread between the premium for labeled (energy efficient) buildings and the cost to retrofit an under-performing building to meet the same standard which will allow us to understand how much of the observed premium is attributable to energy efficiency and how much can be assigned to other perceived benefits (marketing construction quality etc)

bull the hurdle rate for energy retrofit investments using actual audit data and permitted renovation work

Estimating Office and Residential Building Energy Retrofit Hurdle Rates and Risk Arbitrage in Energy Efficiency Investments

Collecting data for continued Data Lab analysis Presenting Research findings

bull Interim research results ndash IPC Research Symposium (October)bull Greenbuild Session (November)bull RERI Research Conference (April)bull Final research results ndash Better Buildings Webinars Summit 2019 (TBA)

Work with DOE case study and data analysis opportunities abound

Next Steps

Paul Mathew

Lawrence Berkeley National Laboratorypamathewlblgov

Paulo Issler

University of California Berkeleypauloisslerberkeleyedu

Erin Hopkins

Virginia Techerinz1vtedu

Andrew White

RE Tech Advisorsawhiteretechadvisorscom

Contact Info

  • Slide Number 1
  • Business Case 20 New Research Around High Performing Buildings
  • Panelists
  • Energy and Default Risk in Commercial Mortgages
  • Paulo Issler
  • Acknowledgements
  • The link between energy and CRE mortgages
  • Approach Impact of energy on default rate
  • Default risk and source EUI (cont)
  • Default risk and source EUI
  • Default risk and source EUI (cont)
  • Default risk and source EUI (cont)
  • What are the impacts on specific loans
  • Case Studies
  • Denver Office ndash energy use and default risk
  • Denver Office ndash energy price and default risk
  • Case Studies ndash summary of risks impacts
  • Case Studies ndash business impact
  • Looking Ahead
  • Looking Ahead ndash our vision
  • Recommendations
  • Slide Number 22
  • Money Matters Exploring the Financial Impacts of Green Certifications in the Multifamily Rental SectorErin A Hopkins PhD CAPS LEED Green AssociateAssistant Professor of Property Management
  • Overview of Research
  • Certifications Represented in Sample
  • Properties by City
  • Descriptive
  • Descriptive
  • Findings
  • Financial Impacts of Green
  • Discussion
  • Discussion
  • Final Thoughts
  • Slide Number 34
  • Slide Number 35
  • Context Setting ndash DOE Research Effort
  • RERI Overview
  • Literature Review Objectives
  • Literature Review Results
  • Literature Review Results
  • Research Agenda Core Question
  • Proposal Reviews
  • Beyond Environmental Building Certification The Impact of Environmental Interventions on Commercial Real Estate Operations
  • The Dynamics of Energy Consumption in Commercial Real Estate
  • Effect of Energy Benchmarking and Disclosure on Office Building Marketability
  • Sustainable Insights and Public Real Estate Performance GRESB Effects in REIT Markets
  • Estimating Office and Residential Building Energy Retrofit Hurdle Rates and Risk Arbitrage in Energy Efficiency Investments
  • Next Steps
  • Contact Info
Y Term ~Bias Estimate EXP estimate Practical Interpretation increasedecrease Std Error DFDen t Ratio Probgt|t| Log(Vacancies amp Rent Loss rentable sf) Log(Total Rents Collected rentable sf) Log(Total Actual Collections rentable sf) Log(Management Fee rentable sf) Log(Total Utilities Rentable sf) Log(MampR rentable sf) Log(Subtotal Maintenance rentable sf) Log(Property Insurance rentable sf) Log(Total All Expenses Rentable sf) Log(NOI Rentable sf) Concessions rentable sf
Log(Vacancies amp Rent Loss rentable sf) Intercept 00893029328 10934118365 934 06116337119 1083785495375 01460072116 08841869197 Green Certified (1=yes 0=no)[Yes] -00318 01047 00991
Log(Vacancies amp Rent Loss rentable sf) Green Certified (1=yes 0=no)[Yes] -0031825668 09686754385 -313 009164153 139931853592 -03472843369 07288994904 Gym (1=yes 0=no)[Yes] 01060 00708 00767
Log(Vacancies amp Rent Loss rentable sf) Gym (1=yes 0=no)[Yes] 01007730854 11060256399 1060 01479591517 1412043780621 0681087207 0496931725 Pool (1=yes 0=no)[Yes] 01126 00089 00131
Log(Vacancies amp Rent Loss rentable sf) Pool (1=yes 0=no)[Yes] 01125884395 11191712315 1192 0113345701 506840641957 09933190097 032527325 Outdoor Common Area (1=yes 0=no)[Yes] 02673 -00803 -00764
Log(Vacancies amp Rent Loss rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 02672618233 13063824429 3064 01690835398 1429144230275 15806495624 01161688791 Walk Score 00102 00065 00066
Log(Vacancies amp Rent Loss rentable sf) Walk Score 00101642302 10102160615 102 00040763935 1219632686439 24934369735 00139912712 of Unfurnished Apartments -00003 -00009 -00008
Log(Vacancies amp Rent Loss rentable sf) of Unfurnished Apartments -0000250981 09997490505 -003 00006011213 142449410245 -04175214322 06769256723 Average Apt Unit Size -00003 -00002 -00002
Log(Vacancies amp Rent Loss rentable sf) Average Apt Unit Size -00002575258 09997425074 -003 00004990119 1315989429881 -05160713681 06066705884 Age -00026 00008 00015
Log(Vacancies amp Rent Loss rentable sf) Age -00026152008 09973882158 -026 00056263988 1391583522195 -04648090107 06427946925 Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00099 00043 00252
Log(Vacancies amp Rent Loss rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00099001013 10099492694 099 0100821633 1384002310718 00981942166 09219201454
Log(Total Rents Collected rentable sf) Intercept 30195696974 204824761253 194825 04164909532 1420770663705 72500246992 0
Log(Total Rents Collected rentable sf) Green Certified (1=yes 0=no)[Yes] 00996165255 11047471944 1047
Hopkins Erin Hopkins Erincant provide a confidencd interval for it
00590542761 1286416575023 16868638818 0094053065
Log(Total Rents Collected rentable sf) Gym (1=yes 0=no)[Yes] 00684081888 10708023088 708 0096210834 1330244953516 07110237581 04783143732
Log(Total Rents Collected rentable sf) Pool (1=yes 0=no)[Yes] 00088712036 10089106694 089 00916333982 708572236354 00968119025 09231490817
Log(Total Rents Collected rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00836597449 09197441505 -803 01126005752 1404546011941 -07429779537 04587359136
Log(Total Rents Collected rentable sf) Walk Score 0006479206 10065002414 065 0002794287 1413201347208 23187331419 00218436949
Log(Total Rents Collected rentable sf) of Unfurnished Apartments -00008678845 0999132492 -009 00003932429 1359586026848 -22069932213 00289920945
Log(Total Rents Collected rentable sf) Average Apt Unit Size -00002078918 09997921298 -002 00003300088 1382568544162 -06299582685 05297616269
Log(Total Rents Collected rentable sf) Age 00008364704 10008368204 008 00037477419 1387794745176 02231931757 08237133506
Log(Total Rents Collected rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00042999624 10043092206 043 0069466499 142786243042 00618998008 09507291881
Log(Total Actual Collections rentable sf) Intercept 30681072891 215011686418 205012 04070110501 1415072794017 75381424868 0
Log(Total Actual Collections rentable sf) Green Certified (1=yes 0=no)[Yes] 00944491888 10990533175 991 00578900924 1291837028308 16315259643 01052148631
Log(Total Actual Collections rentable sf) Gym (1=yes 0=no)[Yes] 00739127176 10767128233 767 0094247393 1335821297113 07842415071 04342868782
Log(Total Actual Collections rentable sf) Pool (1=yes 0=no)[Yes] 00130418887 10131273051 131 00885804441 654593026021 01472321442 08834013324
Log(Total Actual Collections rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00794248992 0923647384 -764 01101507414 1410305976559 -07210564195 04720684016
Log(Total Actual Collections rentable sf) Walk Score 00065530115 10065745295 066 00027272037 14047408887 24028316857 00175745575
Log(Total Actual Collections rentable sf) of Unfurnished Apartments -0000833078 09991672689 -008 00003850262 1365168778586 -21636916411 00322285543
Log(Total Actual Collections rentable sf) Average Apt Unit Size -00002169447 09997830788 -002 00003233576 1393662972101 -06709126047 05033865944
Log(Total Actual Collections rentable sf) Age 00015178151 10015189676 015 0003670824 1398532082324 04134807595 06798877496
Log(Total Actual Collections rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00249154485 10252284322 252 0067842812 1423468871242 03672525904 07139760316
Log(Management Fee rentable sf) Intercept -02128803278 08082528568 -1917 04254329778 585619088893 -0500385111 06186792644
Log(Management Fee rentable sf) Green Certified (1=yes 0=no)[Yes] 0019865513 10200641454 201 00593086525 1354977267554 03349513461 07381797603
Log(Management Fee rentable sf) Gym (1=yes 0=no)[Yes] -00082052627 09918283086 -082 00958032958 1386068833723 -00856469772 09318706455
Log(Management Fee rentable sf) Pool (1=yes 0=no)[Yes] 00174275629 10175803089 176 00771880661 202180965349 02257805358 08236388274
Log(Management Fee rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00153191452 10154370848 154 01103651216 1423896402644 01388042255 08898009734
Log(Management Fee rentable sf) Walk Score 00070459229 10070708039 071 00028008303 805559990921 25156550566 0013868745
Log(Management Fee rentable sf) of Unfurnished Apartments -0001358177 09986427449 -014 00003916726 1421224837061 -34676335479 00006950146
Log(Management Fee rentable sf) Average Apt Unit Size -00005130214 09994871101 -005 00003375961 1007585612206 -15196307445 0131735624
Log(Management Fee rentable sf) Age 00013613923 10013623194 014 00037151697 1277713043957 03664414822 07146417588
Log(Management Fee rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -00674463479 09347778721 -652 00657081953 1299283630266 -10264525997 03065854809
Log(Total Utilities Rentable sf) Intercept -03748562337 06873880949 -3126 04464274077 1402143832266 -08396801522 04025171642
Log(Total Utilities Rentable sf) Green Certified (1=yes 0=no)[Yes] 00873163337 10912418217 912 0064576715 1358457024729 13521334071 01785794114
Log(Total Utilities Rentable sf) Gym (1=yes 0=no)[Yes] 01175979311 11247917766 1248 01048349264 1384172144229 11217438221 02639135776
Log(Total Utilities Rentable sf) Pool (1=yes 0=no)[Yes] 00115680134 10116351816 116 00928512423 72633370166 01245865221 09011950626
Log(Total Utilities Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00222539972 10225034645 225 01216524447 1425571484619 01829309493 0855112103
Log(Total Utilities Rentable sf) Walk Score 00068649233 10068885409 069 00029812807 1396033046894 23026759291 00227754146
Log(Total Utilities Rentable sf) of Unfurnished Apartments -00006773222 09993229071 -007 00004273761 1401067188346 -15848386198 01152575495
Log(Total Utilities Rentable sf) Average Apt Unit Size -00003442022 0999655857 -003 00003581401 1425120147852 -09610825805 03381384619
Log(Total Utilities Rentable sf) Age 00048795122 10048914364 049 00040600929 1425855030198 12018227897 02314244716
Log(Total Utilities Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -01198355423 08870663096 -1129 00742421382 1413320388001 -16141176043 01087323819
Log(MampR rentable sf) Intercept -09030689887 04053238148 -5947 0437858541 1384008312652 -20624674504 00410332652
Log(MampR rentable sf) Green Certified (1=yes 0=no)[Yes] 00937424436 10982768413 983 00639155521 1376081716673 14666609392 01447499128
Log(MampR rentable sf) Gym (1=yes 0=no)[Yes] 00037664885 10037735907 038 01036113865 1396450691334 00363520715 09710535435
Log(MampR rentable sf) Pool (1=yes 0=no)[Yes] 01319613595 11410642271 1411 00887446725 719561267791 14869778183 0141389644
Log(MampR rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00521515872 09491849716 -508 01197720975 1428478988157 -04354235112 06639122497
Log(MampR rentable sf) Walk Score 00110131704 10110740386 111 00029197236 1385662208531 37719907631 00002391344
Log(MampR rentable sf) of Unfurnished Apartments -00008849955 09991153959 -009 00004219429 1410140957414 -20974297602 0037740228
Log(MampR rentable sf) Average Apt Unit Size 00000594506 10000594524 001 0000353075 1429981472006 01683796031 08665225748
Log(MampR rentable sf) Age 0007624822 1007653965 077 00039990018 142990029884 19066812998 00585678315
Log(MampR rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00598131349 10616381449 616 00727173027 1406732379184 08225433659 04121598071
Log(Subtotal Maintenance rentable sf) Intercept -07997344997 04494482769 -5506 0489167182 1380935604874 -16348899298 01043496414
Log(Subtotal Maintenance rentable sf) Green Certified (1=yes 0=no)[Yes] 01180969773 11253532398 1254 00707986514 1348907221481 16680681771 00976219515
Log(Subtotal Maintenance rentable sf) Gym (1=yes 0=no)[Yes] 00409351965 10417845921 418 01148796072 1378640116803 03563312718 07221372278
Log(Subtotal Maintenance rentable sf) Pool (1=yes 0=no)[Yes] 01515780559 11636691295 1637 0100780712 617547240206 15040383505 01376688864
Log(Subtotal Maintenance rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -0078076377 09248937833 -751 01331885868 1426567369893 -05862092154 05586613077
Log(Subtotal Maintenance rentable sf) Walk Score 0011889233 10119601909 120 00032614069 1377504918879 36454307183 00003773801
Log(Subtotal Maintenance rentable sf) of Unfurnished Apartments -00008153416 09991849907 -008 00004682078 1398534995511 -17414095506 00838107083
Log(Subtotal Maintenance rentable sf) Average Apt Unit Size 00005083484 10005084776 005 00003930253 1428434249161 12934242295 01979520949
Log(Subtotal Maintenance rentable sf) Age 00104106727 10104650523 105 00044515054 1428449267664 23386858733 00207383998
Log(Subtotal Maintenance rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 02440298206 12763823925 2764 0081177414 1402563601749 30061295196 00031359748
Log(Property Insurance rentable sf) Intercept -08916874806 04099633635 -5900 04516384713 1429624291993 -19743390727 00502702101
Log(Property Insurance rentable sf) Green Certified (1=yes 0=no)[Yes] 01239058141 11319092561 1319 0062692592 1281678143933 19764027959 00502564371
Log(Property Insurance rentable sf) Gym (1=yes 0=no)[Yes] -0003522638 09964835593 -035 01024969537 1314939748594 -0034368221 09726356404
Log(Property Insurance rentable sf) Pool (1=yes 0=no)[Yes] 00227423743 10230029538 230 01040308572 1125700947624 02186118131 08273482928
Log(Property Insurance rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00155809876 10157030041 157 01206677853 1368483458399 01291230096 08974498986
Log(Property Insurance rentable sf) Walk Score 00072977866 10073244804 073 00030353828 1428602075435 24042392705 00174877086
Log(Property Insurance rentable sf) of Unfurnished Apartments -00010061941 09989943119 -010 0000420017 1337858380697 -23956034086 00179774093
Log(Property Insurance rentable sf) Average Apt Unit Size -00006330482 09993671521 -006 00003514502 1338864329416 -18012458048 0073914725
Log(Property Insurance rentable sf) Age 00009661099 10009665767 010 00039921418 1338497494964 02420028921 08091483095
Log(Property Insurance rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -00520208103 09493091112 -507 00749301111 1411273861679 -06942577501 04886618561
Log(Total All Expenses Rentable sf) Intercept 17410862845 57035357214 47035 03946731547 141889623796 44114636723 00000201648
Log(Total All Expenses Rentable sf) Green Certified (1=yes 0=no)[Yes] 01231722438 11310792255 1311 00565275641 1341244163534 21789766772 00310802733
Log(Total All Expenses Rentable sf) Gym (1=yes 0=no)[Yes] 00096244971 10096709615 097 00919378962 1370603130567 01046847658 09167789899
Log(Total All Expenses Rentable sf) Pool (1=yes 0=no)[Yes] 01610294116 11747195186 1747 00846545666 801516751987 19021940341 00607378863
Log(Total All Expenses Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00361842114 09644626121 -355 01071504659 1418739239709 -03376953252 07360919324
Log(Total All Expenses Rentable sf) Walk Score 00087371658 10087754463 088 00026426023 1411809488418 33062734678 00011989895
Log(Total All Expenses Rentable sf) of Unfurnished Apartments -00008720665 09991283137 -009 00003752966 1389800988186 -23236728617 00215934791
Log(Total All Expenses Rentable sf) Average Apt Unit Size -0000155413 0999844599 -002 00003145108 1409449329598 -0494142052 06219751067
Log(Total All Expenses Rentable sf) Age 00015666155 10015678433 016 00035695206 1412387206124 04388868073 06614142124
Log(Total All Expenses Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00157918953 10159172462 159 00657593447 1424551160559 02401467861 08105616925
Log(NOI Rentable sf) Intercept 27416093787 155119295878 145119 049686036 1426328429735 55178669889 0000000157
Log(NOI Rentable sf) Green Certified (1=yes 0=no)[Yes] 00932241108 10977077159 977 00701671113 1292740226257 13286012361 01863200879
Log(NOI Rentable sf) Gym (1=yes 0=no)[Yes] 0111280688 11177085902 1177 0114413579 13320261997 09726178396 03325061802
Log(NOI Rentable sf) Pool (1=yes 0=no)[Yes] -00608871507 0940929417 -591 01107002034 838263437204 -05500184174 05837693269
Log(NOI Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -01393113526 08699571229 -1300 01340931949 1397855428856 -10389144106 03006382455
Log(NOI Rentable sf) Walk Score 00045000262 10045101666 045 0003337636 1423581725818 13482675372 01797136327
Log(NOI Rentable sf) of Unfurnished Apartments -00007116645 09992885887 -007 00004679272 1358400867851 -15208872073 01306124688
Log(NOI Rentable sf) Average Apt Unit Size -00001937801 09998062387 -002 00003921685 1372175013367 -04941245389 06220083144
Log(NOI Rentable sf) Age 00034607088 1003466704 035 00044548378 1376438770548 07768428318 04385844885
Log(NOI Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00488697769 10500835966 501 00828565286 1429949688826 05898120243 0556247504
Concessions rentable sf Intercept 0091580439 10959049266 959 12772069558 1418541020247 00717036801 09429387231
Concessions rentable sf Green Certified (1=yes 0=no)[Yes] 01110697527 11174728508 1175 01814813765 1293641668833 06120173584 05416004511
Concessions rentable sf Gym (1=yes 0=no)[Yes] -05094051331 06008529 -3991 02955403985 1336296409402 -17236395961 00870857294
Concessions rentable sf Pool (1=yes 0=no)[Yes] -00886152984 09151975838 -848 02791864929 69298361986 -03174053928 07518903943
Concessions rentable sf Outdoor Common Area (1=yes 0=no)[Yes] 04576291372 15803228114 5803 03455726285 1408379747117 13242632646 01875606951
Concessions rentable sf Walk Score 00120688741 10121419968 121 00085630896 1409791646097 14094064916 01609170757
Concessions rentable sf of Unfurnished Apartments -00007045588 09992956894 -007 00012075862 1364744404696 -05834438741 05605574922
Concessions rentable sf Average Apt Unit Size -00003193903 09996806607 -003 00010135961 1389703034326 -03151061148 07531537379
Concessions rentable sf Age 00130223218 10131074815 131 00115086772 139464867267 11315220311 02597773256
Concessions rentable sf Building Mix (0=multifamily 1 = mixed-use)[Mixed] -03719888249 06893619462 -3106 02129597676 1426034459287 -17467563435 00828326573
Y Term Practical Interpretation increasedecrease Probgt|t| Total Rents Collected Subtotal Maintenance Property Insurance Total Expenses
Log(Total Rents Collected rentable sf) Green Certified (1=yes 0=no)[Yes] 1047
Hopkins Erin Hopkins Erincant provide a confidencd interval for it
009 130837635934 13311489362 01847683215 67633617021
Log(Subtotal Maintenance rentable sf) Green Certified (1=yes 0=no)[Yes] 1254 010 267662568114 08839769656 0489370035 133484365708
Log(Property Insurance rentable sf) Green Certified (1=yes 0=no)[Yes] 1319 005 44887430941 07758149459 02417429373 41261056301
Log(Total All Expenses Rentable sf) Green Certified (1=yes 0=no)[Yes] 1311 003 103066299601 12390720963 00474343371 5067818194
206907297628 2385711159 02072356932 9194606526
318766961061 22633758919 04452208547 128154919371
92461669878 09545425866 01280485733 38832017239
143925847783 15966970999 02187893202 54018796992
176714125561 02006495648 02876780533 58992020575
232897515382 0726170332 00787094673 69517596041
Non-green sf average Financial Green Impact sf Financial green impact differencesf Green impactapt Green impactproperty 51780910259 05203453537 00494304264 22609306646
178353784788 17547710996 02048626598 95961490345
Total Rents Collected sf 1047 2356 2603 $ 247 $ 2189 $ 551683 113769814112 12206875575 03432049607 118156743193
Subtotal Maintenance sf 1254 160 180 $ 020 $ 178 $ 44843 301239240258 10561596849 0204970258 110903994641
Property Insurance sf 1319 036 041 $ 005 $ 42 $ 10601 918584487 08376649832 00914663991 4146546939
Total Expenses sf 1311 852 963 $ 112 $ 990 $ 249535 265183769576 19294929362 03500602344 108447158033
226055903548 13557897255 03988791741 10971207244
334894587007 17970717884 05122599181 124640467569
5542518821 31394328066 04875650977 200668786372
112655732059 13445692884 02031297086 43995867235
129139526152 1168069688 00518980213 4651511283
Avg Apt Size Avg of Units 151098478261 13975 02004130435 51873478261
192155046737 21015937064 02616549091 8357602264
887 252 514840434082 52766375656 02375463267 174375582672
81421971535 06694487849 00899424521 2748686222
30246817244 21594341279 03308639536 97277207077
488523197409 27727612187 0646599696 130752346177
318750561687 38903340576 03852711795 142409683793
310384048163 43119745565 03335824966 138846874251
Green Certification Impacts 48578215663 0350218077 03095574205 23695139998
Dependent Variable Per Square Foot Per Apartment Per Property 192237574111 13374121765 02053242615 84027476689
Total Rents Collected $ 247 $ 2189 $ 551683 62979912788 05343191729 00816289996 45390243161
Subtotal Maintenance $ 020 $ 178 $ 44843 148378959661 14651715909 02004049722 80900580942
Property Insurance $ 005 $ 42 $ 10601 196798863889 11267176542 02499920663 90266351433
Total Expenses $ 112 $ 990 $ 249535 281508617823 09686995581 01118170881 119863342059
58584849751 0106864586 04187933949 44180073736
126756167712 1265684516 02796423029 87538414144
176550549412 24957340254 02343899179 88904473415
252421786235 28063734042 03142238564 133776179357
191875932907 13637043757 03440324697 987034902
159508092934 13109374847 02091697013 98967206196
342739845467 09614092295 03929892961 129755936769
192510355167 32804720611 01743191858 134560085596
257829360401 13666691797 01527100011 56329812754
358622391559 14251973427 03437553732 101098436889
217744157919 24046486586 01864745418 68711016642
222112557003 22022148788 07879755849 97807110765
202535763689 04548110217 10003436751 127886698915
155879815194 23816051158 04816227091 119033557201
11066078843 23413202706 06413902496 81812176347
151924709838 18873401649 05711000232 105403544539
163604010853 16052949068 02714509557 82030431823
133974400047 11018949984 03560839935 59096477943
133528448829 13647819036 02538331588 66159357367
187400008959 16889788117 030870974 115752907975
155246293804 18308314258 03852380906 116657595614
34082816218 05447090935 09838411173 13641308574
201220131342 11192465065 03188344246 93786154242
139108532616 13313944086 03887737775 69698295902
191656858207 15717927807 06002115982 119380046581
200921599083 12597596226 03267106334 82474085087
57536742874 00453219212 00300766262 10569757217
120548294116 11607892527 03275736725 74435143659
123188534664 1404028789 03510968138 78762080781
59543029729 0899713372 01652374748 28143456117
144215639215 19193238703 02899837711 67370054173
340046684831 19619729415 04325060698 120608464163
208244777176 28183367899 037 73104355304
234349752613 19432301154 0351134881 107484594815
136370903402 17029933791 01989576534 50899930579
149968383478 14209793679 02735642323 63813718869
81145819519 0920766851 00474564037 30674168785
226307446224 12529424404 02036192613 69235920453
132787305462 08047482453 01232346659 41808605432
251519090044 21798380428 0376480317 80396623551
492269138212 12196979039 02981674812 128316943664
107177195916 08016374211 0113808252 40618650625
128238528886 10751217142 01843492552 6476830365
57582611557 11908427448 0874334536 134004066235
43835651097 34822540694 03904989384 146763800425
205787355386 1429219053 02624404931 5321754079
463148430769 07709353846 06150738462 101617384615
377949548611 28670972222 08296944444 109743576389
360087564176 03501711352 18551055334 110041072447
18371979614 18232783153 07267294459 61184870906
678035276363 13443501226 10431616676 167533484248
56073359244 10138647576 01591318768 51440832304
189431314891 05101557395 03677787459 41010945328
383550342095 23244425576 04086557393 98151764619
115544349685 03310482653 037 40344851625
7552318246 0955023726 01241945851 24368780848
133083101881 19451300341 00938801919 48731378614
122308363087 13760780005 01439989014 45100624828
84908269322 10857071617 01155797799 36082570734
263116048067 10733627163 041902582 60372732395
76183752731 09621126305 01069925907 26170373239
172494454001 11781600332 03919686814 59016193131
342076422068 22741368431 03165622465 73557085549
215534567901 1485497076 02210396361 49118778428
314593058927 23798916958 02751353803 121998559501
586535191691 21029046354 02109026171 91979074439
138093310078 14595490221 02142269839 44286283792
227203645682 04584630891 05737147639 93344680527
572754455737 17713614269 01642228739 92545561671
60603870458 04541110154 01180884676 15902125521
358781017266 33847643857 06854022643 139200146946
342079216629 24477703832 0463059603 67166143833
651201231187 51019950176 12529595849 222094150831
369798669702 21700816928 0444474205 101410502507
421838575952 28823013788 05443272608 151399739597
626095189209 20826275416 04947814184 184651096472
214882899762 25034709712 06359683889 109534721722
274037120739 26718517094 037 67504928595
252667703737 25588590114 05379535858 109041874345
59253832495 01099622961 04620367393 19262874847
150862851538 18053109961 07398729558 71488607075
111196959019 00928417366 037 09427894164
667360269858 07921160191 02989609494 104670639024
2356 160 036 852
Log(Vacancies amp Rent Loss rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified -00318 00916 -00313 07289
Fitness Center 01008 01480 01060 04969
Pool 01126 01133 01192 03253
Outdoor Common Area 02673 01691 03064 01162
Walk Score 00102 00041 00102 00140
of Unfurnished Apartments -00003 00006 -00003 06769
Average Apt Unit Size -00003 00005 -00003 06067
Age -00026 00056 -00026 06428
Building Mix 00099 01008 00099 09219
Note R2 = 645
Log(Total Rents Collected rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00996 00591 01047 00941
Fitness Center 00684 00962 00708 04783
Pool 00089 00916 00089 09231
Outdoor Common Area -00837 01126 -00803 04587
Walk Score 00065 00028 00065 00218
of Unfurnished Apartments -00009 00004 -00009 00290
Average Apt Unit Size -00002 00003 -00002 05298
Age 00008 00037 00008 08237
Building Mix 00043 00695 00043 09507
Note R2 = 3318
Log(Total Actual Collections rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00944 00579 00991 01052
Fitness Center 00739 00942 00767 04343
Pool 00130 00886 00131 08834
Outdoor Common Area -00794 01102 -00764 04721
Walk Score 00066 00027 00066 00176
of Unfurnished Apartments -00008 00004 -00008 00322
Average Apt Unit Size -00002 00003 -00002 05034
Age 00015 00037 00015 06799
Building Mix 00249 00678 00252 07140
Note R2 = 3219
Log(Management Fee rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00199 00593 00201 07382
Fitness Center -00082 00958 -00082 09319
Pool 00174 00772 00176 08236
Outdoor Common Area 00153 01104 00154 08898
Walk Score 00070 00028 00071 00139
of Unfurnished Apartments -00014 00004 -00014 00007
Average Apt Unit Size -00005 00003 -00005 01317
Age 00014 00037 00014 07146
Building Mix -00674 00657 -00652 03066
Note R2 = 1697
Log(Total Utilities Rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00873 00646 00912 01786
Fitness Center 01176 01048 01248 02639
Pool 00116 00929 00116 09012
Outdoor Common Area 00223 01217 00225 08551
Walk Score 00069 00030 00069 00228
of Unfurnished Apartments -00007 00004 -00007 01153
Average Apt Unit Size -00003 00004 -00003 03381
Age 00049 00041 00049 02314
Building Mix -01198 00742 -01129 01087
Note R2 = 2171
Log(MampR rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00937 00639 00983 01447
Fitness Center 00038 01036 00038 09711
Pool 01320 00887 01411 01414
Outdoor Common Area -00522 01198 -00508 06639
Walk Score 00110 00029 00111 00002
of Unfurnished Apartments -00009 00004 -00009 00377
Average Apt Unit Size 00001 00004 00001 08665
Age 00076 00040 00077 00586
Building Mix 00598 00727 00616 04122
Note R2 = 2620
Log(Subtotal Maintenance rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 01181 00708 01254 00976
Fitness Center 00409 01149 00418 07221
Pool 01516 01008 01637 01377
Outdoor Common Area -00781 01332 -00751 05587
Walk Score 00119 00033 00120 00004
of Unfurnished Apartments -00008 00005 -00008 00838
Average Apt Unit Size 00005 00004 00005 01980
Age 00104 00045 00105 00207
Building Mix 02440 00812 02764 00031
Note R2 = 3218
Log(Property Insurance rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 01239 00627 01319 00503
Fitness Center -00035 01025 -00035 09726
Pool 00227 01040 00230 08273
Outdoor Common Area 00156 01207 00157 08974
Walk Score 00073 00030 00073 00175
of Unfurnished Apartments -00010 00004 -00010 00180
Average Apt Unit Size -00006 00004 -00006 00739
Age 00010 00040 00010 08091
Building Mix -00520 00749 -00507 04887
Note R2 = 3902
Log(Total All Expenses Rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 01232 00565 01311 00311
Fitness Center 00096 00919 00097 09168
Pool 01610 00847 01747 00607
Outdoor Common Area -00362 01072 -00355 07361
Walk Score 00087 00026 00088 00012
of Unfurnished Apartments -00009 00004 -00009 00216
Average Apt Unit Size -00002 00003 -00002 06220
Age 00016 00036 00016 06614
Building Mix 00158 00658 00159 08106
Note R2 = 2943
Log(NOI Rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00932 00702 00977 01863
Fitness Center 01113 01144 01177 03325
Pool -00609 01107 -00591 05838
Outdoor Common Area -01393 01341 -01300 03006
Walk Score 00045 00033 00045 01797
of Unfurnished Apartments -00007 00005 -00007 01306
Average Apt Unit Size -00002 00004 -00002 06220
Age 00035 00045 00035 04386
Building Mix 00489 00829 00501 05562
Note R2 = 3669
Concessions rentable sf
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 01111 01815 01175 05416
Fitness Center -05094 02955 -03991 00871
Pool -00886 02792 -00848 07519
Outdoor Common Area 04576 03456 05803 01876
Walk Score 00121 00086 00121 01609
of Unfurnished Apartments -00007 00012 -00007 05606
Average Apt Unit Size -00003 00010 -00003 07532
Age 00130 00115 00131 02598
Building Mix -03720 02130 -03106 00828
Note R2 = 2402
Y Term ~Bias Estimate EXP estimate Practical Interpretation increasedecrease Std Error DFDen t Ratio Probgt|t| Estimate Std Error Practical Interpretation Significance
Log(Vacancies amp Rent Loss rentable sf) Intercept 00893029328 10934118365 934 06116337119 1083785495375 01460072116 08841869197 Green Cert
Log(Vacancies amp Rent Loss rentable sf) Green Certified (1=yes 0=no)[Yes] -0031825668 09686754385 -313 009164153 139931853592 -03472843369 07288994904 Gym
Log(Vacancies amp Rent Loss rentable sf) Gym (1=yes 0=no)[Yes] 01007730854 11060256399 1060 01479591517 1412043780621 0681087207 0496931725
Log(Vacancies amp Rent Loss rentable sf) Pool (1=yes 0=no)[Yes] 01125884395 11191712315 1192 0113345701 506840641957 09933190097 032527325
Log(Vacancies amp Rent Loss rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 02672618233 13063824429 3064 01690835398 1429144230275 15806495624 01161688791
Log(Vacancies amp Rent Loss rentable sf) Walk Score 00101642302 10102160615 102 00040763935 1219632686439 24934369735 00139912712
Log(Vacancies amp Rent Loss rentable sf) of Unfurnished Apartments -0000250981 09997490505 -003 00006011213 142449410245 -04175214322 06769256723
Log(Vacancies amp Rent Loss rentable sf) Average Apt Unit Size -00002575258 09997425074 -003 00004990119 1315989429881 -05160713681 06066705884
Log(Vacancies amp Rent Loss rentable sf) Age -00026152008 09973882158 -026 00056263988 1391583522195 -04648090107 06427946925
Log(Vacancies amp Rent Loss rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00099001013 10099492694 099 0100821633 1384002310718 00981942166 09219201454
Log(Total Rents Collected rentable sf) Intercept 30195696974 204824761253 194825 04164909532 1420770663705 72500246992 0
Log(Total Rents Collected rentable sf) Green Certified (1=yes 0=no)[Yes] 00996165255 11047471944 1047
Hopkins Erin Hopkins Erincant provide a confidencd interval for it
00590542761 1286416575023 16868638818 0094053065 0099617 00590542761 1047
Log(Total Rents Collected rentable sf) Gym (1=yes 0=no)[Yes] 00684081888 10708023088 708 0096210834 1330244953516 07110237581 04783143732
Log(Total Rents Collected rentable sf) Pool (1=yes 0=no)[Yes] 00088712036 10089106694 089 00916333982 708572236354 00968119025 09231490817
Log(Total Rents Collected rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00836597449 09197441505 -803 01126005752 1404546011941 -07429779537 04587359136
Log(Total Rents Collected rentable sf) Walk Score 0006479206 10065002414 065 0002794287 1413201347208 23187331419 00218436949
Log(Total Rents Collected rentable sf) of Unfurnished Apartments -00008678845 0999132492 -009 00003932429 1359586026848 -22069932213 00289920945 variance components to talk about how much of the total error that is attribuatle to city
Log(Total Rents Collected rentable sf) Average Apt Unit Size -00002078918 09997921298 -002 00003300088 1382568544162 -06299582685 05297616269
Log(Total Rents Collected rentable sf) Age 00008364704 10008368204 008 00037477419 1387794745176 02231931757 08237133506
Log(Total Rents Collected rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00042999624 10043092206 043 0069466499 142786243042 00618998008 09507291881
Log(Total Actual Collections rentable sf) Intercept 30681072891 215011686418 205012 04070110501 1415072794017 75381424868 0
Log(Total Actual Collections rentable sf) Green Certified (1=yes 0=no)[Yes] 00944491888 10990533175 991 00578900924 1291837028308 16315259643 01052148631
Log(Total Actual Collections rentable sf) Gym (1=yes 0=no)[Yes] 00739127176 10767128233 767 0094247393 1335821297113 07842415071 04342868782
Log(Total Actual Collections rentable sf) Pool (1=yes 0=no)[Yes] 00130418887 10131273051 131 00885804441 654593026021 01472321442 08834013324
Log(Total Actual Collections rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00794248992 0923647384 -764 01101507414 1410305976559 -07210564195 04720684016
Log(Total Actual Collections rentable sf) Walk Score 00065530115 10065745295 066 00027272037 14047408887 24028316857 00175745575
Log(Total Actual Collections rentable sf) of Unfurnished Apartments -0000833078 09991672689 -008 00003850262 1365168778586 -21636916411 00322285543
Log(Total Actual Collections rentable sf) Average Apt Unit Size -00002169447 09997830788 -002 00003233576 1393662972101 -06709126047 05033865944
Log(Total Actual Collections rentable sf) Age 00015178151 10015189676 015 0003670824 1398532082324 04134807595 06798877496
Log(Total Actual Collections rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00249154485 10252284322 252 0067842812 1423468871242 03672525904 07139760316
Log(Management Fee rentable sf) Intercept -02128803278 08082528568 -1917 04254329778 585619088893 -0500385111 06186792644
Log(Management Fee rentable sf) Green Certified (1=yes 0=no)[Yes] 0019865513 10200641454 201 00593086525 1354977267554 03349513461 07381797603
Log(Management Fee rentable sf) Gym (1=yes 0=no)[Yes] -00082052627 09918283086 -082 00958032958 1386068833723 -00856469772 09318706455
Log(Management Fee rentable sf) Pool (1=yes 0=no)[Yes] 00174275629 10175803089 176 00771880661 202180965349 02257805358 08236388274
Log(Management Fee rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00153191452 10154370848 154 01103651216 1423896402644 01388042255 08898009734
Log(Management Fee rentable sf) Walk Score 00070459229 10070708039 071 00028008303 805559990921 25156550566 0013868745
Log(Management Fee rentable sf) of Unfurnished Apartments -0001358177 09986427449 -014 00003916726 1421224837061 -34676335479 00006950146
Log(Management Fee rentable sf) Average Apt Unit Size -00005130214 09994871101 -005 00003375961 1007585612206 -15196307445 0131735624
Log(Management Fee rentable sf) Age 00013613923 10013623194 014 00037151697 1277713043957 03664414822 07146417588
Log(Management Fee rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -00674463479 09347778721 -652 00657081953 1299283630266 -10264525997 03065854809
Log(Total Utilities Rentable sf) Intercept -03748562337 06873880949 -3126 04464274077 1402143832266 -08396801522 04025171642
Log(Total Utilities Rentable sf) Green Certified (1=yes 0=no)[Yes] 00873163337 10912418217 912 0064576715 1358457024729 13521334071 01785794114
Log(Total Utilities Rentable sf) Gym (1=yes 0=no)[Yes] 01175979311 11247917766 1248 01048349264 1384172144229 11217438221 02639135776
Log(Total Utilities Rentable sf) Pool (1=yes 0=no)[Yes] 00115680134 10116351816 116 00928512423 72633370166 01245865221 09011950626
Log(Total Utilities Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00222539972 10225034645 225 01216524447 1425571484619 01829309493 0855112103
Log(Total Utilities Rentable sf) Walk Score 00068649233 10068885409 069 00029812807 1396033046894 23026759291 00227754146
Log(Total Utilities Rentable sf) of Unfurnished Apartments -00006773222 09993229071 -007 00004273761 1401067188346 -15848386198 01152575495
Log(Total Utilities Rentable sf) Average Apt Unit Size -00003442022 0999655857 -003 00003581401 1425120147852 -09610825805 03381384619
Log(Total Utilities Rentable sf) Age 00048795122 10048914364 049 00040600929 1425855030198 12018227897 02314244716
Log(Total Utilities Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -01198355423 08870663096 -1129 00742421382 1413320388001 -16141176043 01087323819
Log(MampR rentable sf) Intercept -09030689887 04053238148 -5947 0437858541 1384008312652 -20624674504 00410332652
Log(MampR rentable sf) Green Certified (1=yes 0=no)[Yes] 00937424436 10982768413 983 00639155521 1376081716673 14666609392 01447499128
Log(MampR rentable sf) Gym (1=yes 0=no)[Yes] 00037664885 10037735907 038 01036113865 1396450691334 00363520715 09710535435
Log(MampR rentable sf) Pool (1=yes 0=no)[Yes] 01319613595 11410642271 1411 00887446725 719561267791 14869778183 0141389644
Log(MampR rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00521515872 09491849716 -508 01197720975 1428478988157 -04354235112 06639122497
Log(MampR rentable sf) Walk Score 00110131704 10110740386 111 00029197236 1385662208531 37719907631 00002391344
Log(MampR rentable sf) of Unfurnished Apartments -00008849955 09991153959 -009 00004219429 1410140957414 -20974297602 0037740228
Log(MampR rentable sf) Average Apt Unit Size 00000594506 10000594524 001 0000353075 1429981472006 01683796031 08665225748
Log(MampR rentable sf) Age 0007624822 1007653965 077 00039990018 142990029884 19066812998 00585678315
Log(MampR rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00598131349 10616381449 616 00727173027 1406732379184 08225433659 04121598071
Log(Subtotal Maintenance rentable sf) Intercept -07997344997 04494482769 -5506 0489167182 1380935604874 -16348899298 01043496414
Log(Subtotal Maintenance rentable sf) Green Certified (1=yes 0=no)[Yes] 01180969773 11253532398 1254 00707986514 1348907221481 16680681771 00976219515
Log(Subtotal Maintenance rentable sf) Gym (1=yes 0=no)[Yes] 00409351965 10417845921 418 01148796072 1378640116803 03563312718 07221372278
Log(Subtotal Maintenance rentable sf) Pool (1=yes 0=no)[Yes] 01515780559 11636691295 1637 0100780712 617547240206 15040383505 01376688864
Log(Subtotal Maintenance rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -0078076377 09248937833 -751 01331885868 1426567369893 -05862092154 05586613077
Log(Subtotal Maintenance rentable sf) Walk Score 0011889233 10119601909 120 00032614069 1377504918879 36454307183 00003773801
Log(Subtotal Maintenance rentable sf) of Unfurnished Apartments -00008153416 09991849907 -008 00004682078 1398534995511 -17414095506 00838107083
Log(Subtotal Maintenance rentable sf) Average Apt Unit Size 00005083484 10005084776 005 00003930253 1428434249161 12934242295 01979520949
Log(Subtotal Maintenance rentable sf) Age 00104106727 10104650523 105 00044515054 1428449267664 23386858733 00207383998
Log(Subtotal Maintenance rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 02440298206 12763823925 2764 0081177414 1402563601749 30061295196 00031359748
Log(Property Insurance rentable sf) Intercept -08916874806 04099633635 -5900 04516384713 1429624291993 -19743390727 00502702101
Log(Property Insurance rentable sf) Green Certified (1=yes 0=no)[Yes] 01239058141 11319092561 1319 0062692592 1281678143933 19764027959 00502564371
Log(Property Insurance rentable sf) Gym (1=yes 0=no)[Yes] -0003522638 09964835593 -035 01024969537 1314939748594 -0034368221 09726356404
Log(Property Insurance rentable sf) Pool (1=yes 0=no)[Yes] 00227423743 10230029538 230 01040308572 1125700947624 02186118131 08273482928
Log(Property Insurance rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00155809876 10157030041 157 01206677853 1368483458399 01291230096 08974498986
Log(Property Insurance rentable sf) Walk Score 00072977866 10073244804 073 00030353828 1428602075435 24042392705 00174877086
Log(Property Insurance rentable sf) of Unfurnished Apartments -00010061941 09989943119 -010 0000420017 1337858380697 -23956034086 00179774093
Log(Property Insurance rentable sf) Average Apt Unit Size -00006330482 09993671521 -006 00003514502 1338864329416 -18012458048 0073914725
Log(Property Insurance rentable sf) Age 00009661099 10009665767 010 00039921418 1338497494964 02420028921 08091483095
Log(Property Insurance rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -00520208103 09493091112 -507 00749301111 1411273861679 -06942577501 04886618561
Log(Total All Expenses Rentable sf) Intercept 17410862845 57035357214 47035 03946731547 141889623796 44114636723 00000201648
Log(Total All Expenses Rentable sf) Green Certified (1=yes 0=no)[Yes] 01231722438 11310792255 1311 00565275641 1341244163534 21789766772 00310802733
Log(Total All Expenses Rentable sf) Gym (1=yes 0=no)[Yes] 00096244971 10096709615 097 00919378962 1370603130567 01046847658 09167789899
Log(Total All Expenses Rentable sf) Pool (1=yes 0=no)[Yes] 01610294116 11747195186 1747 00846545666 801516751987 19021940341 00607378863
Log(Total All Expenses Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00361842114 09644626121 -355 01071504659 1418739239709 -03376953252 07360919324
Log(Total All Expenses Rentable sf) Walk Score 00087371658 10087754463 088 00026426023 1411809488418 33062734678 00011989895
Log(Total All Expenses Rentable sf) of Unfurnished Apartments -00008720665 09991283137 -009 00003752966 1389800988186 -23236728617 00215934791
Log(Total All Expenses Rentable sf) Average Apt Unit Size -0000155413 0999844599 -002 00003145108 1409449329598 -0494142052 06219751067
Log(Total All Expenses Rentable sf) Age 00015666155 10015678433 016 00035695206 1412387206124 04388868073 06614142124
Log(Total All Expenses Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00157918953 10159172462 159 00657593447 1424551160559 02401467861 08105616925
Log(NOI Rentable sf) Intercept 27416093787 155119295878 145119 049686036 1426328429735 55178669889 0000000157
Log(NOI Rentable sf) Green Certified (1=yes 0=no)[Yes] 00932241108 10977077159 977 00701671113 1292740226257 13286012361 01863200879
Log(NOI Rentable sf) Gym (1=yes 0=no)[Yes] 0111280688 11177085902 1177 0114413579 13320261997 09726178396 03325061802
Log(NOI Rentable sf) Pool (1=yes 0=no)[Yes] -00608871507 0940929417 -591 01107002034 838263437204 -05500184174 05837693269
Log(NOI Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -01393113526 08699571229 -1300 01340931949 1397855428856 -10389144106 03006382455
Log(NOI Rentable sf) Walk Score 00045000262 10045101666 045 0003337636 1423581725818 13482675372 01797136327
Log(NOI Rentable sf) of Unfurnished Apartments -00007116645 09992885887 -007 00004679272 1358400867851 -15208872073 01306124688
Log(NOI Rentable sf) Average Apt Unit Size -00001937801 09998062387 -002 00003921685 1372175013367 -04941245389 06220083144
Log(NOI Rentable sf) Age 00034607088 1003466704 035 00044548378 1376438770548 07768428318 04385844885
Log(NOI Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00488697769 10500835966 501 00828565286 1429949688826 05898120243 0556247504
Concessions rentable sf Intercept 0091580439 10959049266 959 12772069558 1418541020247 00717036801 09429387231
Concessions rentable sf Green Certified (1=yes 0=no)[Yes] 01110697527 11174728508 1175 01814813765 1293641668833 06120173584 05416004511
Concessions rentable sf Gym (1=yes 0=no)[Yes] -05094051331 06008529 -3991 02955403985 1336296409402 -17236395961 00870857294
Concessions rentable sf Pool (1=yes 0=no)[Yes] -00886152984 09151975838 -848 02791864929 69298361986 -03174053928 07518903943
Concessions rentable sf Outdoor Common Area (1=yes 0=no)[Yes] 04576291372 15803228114 5803 03455726285 1408379747117 13242632646 01875606951
Concessions rentable sf Walk Score 00120688741 10121419968 121 00085630896 1409791646097 14094064916 01609170757
Concessions rentable sf of Unfurnished Apartments -00007045588 09992956894 -007 00012075862 1364744404696 -05834438741 05605574922
Concessions rentable sf Average Apt Unit Size -00003193903 09996806607 -003 00010135961 1389703034326 -03151061148 07531537379
Concessions rentable sf Age 00130223218 10131074815 131 00115086772 139464867267 11315220311 02597773256
Concessions rentable sf Building Mix (0=multifamily 1 = mixed-use)[Mixed] -03719888249 06893619462 -3106 02129597676 1426034459287 -17467563435 00828326573
Page 29: AUGUST 21- 23, 2018 • CLEVELAND, OHIO€¦ · Business Case 2.0: New Research Around High Performing Buildings Thursday 23 rd, 2018 10:30am – 12:00pm

Findings

Total Rents Collected1047

Total Maintenance1254

Property Insurance1319

Total Expenses1311

Higher rents and expenses

Financial Impacts of Green

Dependent Variable Per Square Foot Per Apartment Per PropertyTotal Rents Collected 247$ 2189$ 551683$ Subtotal Maintenance 020$ 178$ 44843$ Property Insurance 005$ 42$ 10601$ Total Expenses 112$ 990$ 249535$

Coefficients Standard Errors

Tables

Summary of Green Impacts

Summary Table

Discussion

bull Assume efficient operations will offset the higher rent

bull Philanthropic motivesbull Prestige motivesbull Green buildings tend to be newermore

likely to offer the more sought-after amenities and finishes

bull Tend to be in higher-income areaslikely have higher rents

Different motivations for paying higher rent may be in

play

Discussion

Higher Operating Expenses a Surprise

Does not align with much of the existing researchhellipbut no research on effects of green certification on total operating expenses within multifamily rental sector

Many of the certifications represented in this study focus on the design phase of the property vs the operations and maintenance phase

And although promotion of sustainability is on the rise in the multifamily housing sector staff may remain unfamiliar with the unique operations and maintenance of green

buildings

Final Thoughts

Apartment homes represent $13 trillion to the US economy and 5 million new rental households are expected by 2023 (National Multifamily Housing Council 2015)

Upfront capital constraints regulatory issues knowledge limitations and marketing concerns may diminish the attractiveness of multifamily rental green building

certification if not properly managed

Most studies focus on office sector andor strictly rents or property value

This study begins to look at the multifamily rental sector and offer a more comprehensive analysis

Further research is needed with larger datasets to understand effects of green certification on income statement components in the apartment industry as NOI

ultimately determines property market valueOptimism that this study can be the impetus for further research contributions on the

financial environmental and resident satisfaction impacts of green practices and certifications on the multifamily rental sector

Contact informationErin A Hopkinserinz1vtedu

Acknowledgementsbull Todd Feist Sustainability Program Manager at The Institute of

Real Estate Management (IREMreg) for his assistance with this research project

bull Yardi and IREMreg for the grant awarded to support this researchbull The two property management companies for sharing their data

BUILDING PERFORMANCE

UNLOCKINGVALUE

New DOE-driven Research Around High Performing Buildings

AUGUST 23 2018

ANDREW WHITEASSOCIATE MANAGERawhiteretechadvisorscom

2015-2016 bull Research design working group pilot study data lab

2017 bull Connect to Real Estate Research Institute (RERI) Literature review and gap analysis

2018 bull Research agenda request for proposals research project selection and execution

Context Setting ndash DOE Research EffortWhat are the impacts of energy efficiency and high-performance building

features on financial performance of commercial real estate

RERIrsquos mission is to encourage and reward research on real estate as an investment and as an asset class that is both academically rigorous and of value to the institutional real estate investment profession In addition RERI serves to provide a forum through which the real estate academic professional and regulatory communities can interact facilitating the exchange of insights amongst these stakeholders

RERI Overview

Sponsors

Build upon DOErsquos Review of Studies in the Market

bull Focus explicitly on peer-reviewed papers Gap analysis of existing research to

identifybull Questions that have already been

sufficiently provenbull Holes in existing body of research

Academic Inputbull Guidance on which studies to includebull Suggestions for how to conduct analysis

Literature Review Objectives

Literature Review Results

LEED

ENER

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ENER

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Rent 20 18 1 2 2 2 1 1 1Rent concessions 1 1 1Sales price 9 11 1 1 1 1Assessed value 2 2Market value 1 2 1 2 1Occupancy 10 9 1Lease renewals 1 1 1Service charge 1Operating cost 2 3Energy cost 2 3Tenant satisfaction 1 1 1Sales time 1 1Default rate 2 1Capitalization rate 1 2 2 1Net operating income 1 1 1Loan to value ratio 1 1Debt service coverage ratio 1 1Worker productivity 1 1Other 5 4 1 4 2 2

There is considerable evidence that green building certifications correlate with increased economic value primarily via higher rents and sales prices

bull How do we move beyond certification to analyze performancebull Correlation vs Causation

bull What is driving added value Is it green features and efficiency the green labels themselves or other desirable features often included in certified buildings

Panel studies could help reduce some of the uncertainty and noise Full results presented at ACEEE Summer Study

bull Raising the Rent Premium Moving Green Building Research Beyond Certifications and Rent

bull Cindy Zhu Andrew White Paul Mathew Jeff Deason Philip Coleman

Literature Review Results

Research Agenda Core QuestionldquoHow does ltenergygreen metricgt affect ltfinancial value metricgtrdquo

EnergyGreen Metric

Site energy use or EUI

Source energy use or EUI

Energy cost or costsf

ENERGY STAR score

ENERGY STAR label

Green Building Certification (LEED BOMA 360)

Green Building Certification level (eg LEED Silver Gold)

Financial Value Metric

VacancyOccupancy Sales Price

Leasing Velocity (absorption speed of sales leasing)

Regulatory amp Compliance Risk

Tenant Renewals Insurance (rates ability)

Tenant Satisfaction Default Risk

Rental Income and Rent Concessions Debt Service Coverage Ratio

Marketing Costs Access to Funding

Utility Costs Maintenance OpEx Interest Rates

Obsolescence Reserves

Capitalization Rates

12 proposals received 5 projects selected Criteria

bull Department of Energy goals

bull Impact on Commercial Real Estate (CRE) Industry

bull Feasibility and Interest

bull Quality and Validity

Proposal Reviews

Jim Clayton Avis Devine (York University) and Rogier Holtermans(University of Guelph) Analyzing four types of energy

efficiency interventions on financial components that impact property-level NOI

bull How do interventions impact different aspects of building operations and their subsequent financial impact

Beyond Environmental Building Certification The Impact of Environmental Interventions on Commercial Real Estate Operations

Piet Eichholtz and Nils Kok (Maastricht University) and RogierHoltermans (University of Guelph) Three key questions

bull How is environmental building certification related to commercial building energy consumption

bull How does aging affect the energy consumption of the commercial building stock

bull To what extent do specific energy efficiency investments affect energy consumption in commercial real estate

The Dynamics of Energy Consumption in Commercial Real Estate

Sofia Dermisi Chris Lee and YoungjinChoe (University of Washington) Exploring the effect of disclosure

policies on office building marketability while assessing potential links between market performance of sustainable assets

bull Before and after the disclosure policies while considering market cycles

bull Before and after ENERGY STAR andor LEED certification

Markets included San Francisco Washington DC

Effect of Energy Benchmarking and Disclosure on Office Building Marketability

Dirk Brounen (Tilburg University) and Gianluca Marcato (Reading University) Analyzing the adoption of GRESB within the public real estate markets and

predicting a potential impact of GRESB scores on REIT returns

Sustainable Insights and Public Real Estate Performance GRESB Effects in REIT Markets

Constantine Kontokosta (New York University) Franz Fuerst(Cambridge University) Gary Pivo (University of Arizona) amp Jacob Sagi (UNC Chapel Hill) Utilizing NYC data to empirically model

bull the spread between the premium for labeled (energy efficient) buildings and the cost to retrofit an under-performing building to meet the same standard which will allow us to understand how much of the observed premium is attributable to energy efficiency and how much can be assigned to other perceived benefits (marketing construction quality etc)

bull the hurdle rate for energy retrofit investments using actual audit data and permitted renovation work

Estimating Office and Residential Building Energy Retrofit Hurdle Rates and Risk Arbitrage in Energy Efficiency Investments

Collecting data for continued Data Lab analysis Presenting Research findings

bull Interim research results ndash IPC Research Symposium (October)bull Greenbuild Session (November)bull RERI Research Conference (April)bull Final research results ndash Better Buildings Webinars Summit 2019 (TBA)

Work with DOE case study and data analysis opportunities abound

Next Steps

Paul Mathew

Lawrence Berkeley National Laboratorypamathewlblgov

Paulo Issler

University of California Berkeleypauloisslerberkeleyedu

Erin Hopkins

Virginia Techerinz1vtedu

Andrew White

RE Tech Advisorsawhiteretechadvisorscom

Contact Info

  • Slide Number 1
  • Business Case 20 New Research Around High Performing Buildings
  • Panelists
  • Energy and Default Risk in Commercial Mortgages
  • Paulo Issler
  • Acknowledgements
  • The link between energy and CRE mortgages
  • Approach Impact of energy on default rate
  • Default risk and source EUI (cont)
  • Default risk and source EUI
  • Default risk and source EUI (cont)
  • Default risk and source EUI (cont)
  • What are the impacts on specific loans
  • Case Studies
  • Denver Office ndash energy use and default risk
  • Denver Office ndash energy price and default risk
  • Case Studies ndash summary of risks impacts
  • Case Studies ndash business impact
  • Looking Ahead
  • Looking Ahead ndash our vision
  • Recommendations
  • Slide Number 22
  • Money Matters Exploring the Financial Impacts of Green Certifications in the Multifamily Rental SectorErin A Hopkins PhD CAPS LEED Green AssociateAssistant Professor of Property Management
  • Overview of Research
  • Certifications Represented in Sample
  • Properties by City
  • Descriptive
  • Descriptive
  • Findings
  • Financial Impacts of Green
  • Discussion
  • Discussion
  • Final Thoughts
  • Slide Number 34
  • Slide Number 35
  • Context Setting ndash DOE Research Effort
  • RERI Overview
  • Literature Review Objectives
  • Literature Review Results
  • Literature Review Results
  • Research Agenda Core Question
  • Proposal Reviews
  • Beyond Environmental Building Certification The Impact of Environmental Interventions on Commercial Real Estate Operations
  • The Dynamics of Energy Consumption in Commercial Real Estate
  • Effect of Energy Benchmarking and Disclosure on Office Building Marketability
  • Sustainable Insights and Public Real Estate Performance GRESB Effects in REIT Markets
  • Estimating Office and Residential Building Energy Retrofit Hurdle Rates and Risk Arbitrage in Energy Efficiency Investments
  • Next Steps
  • Contact Info
Y Term ~Bias Estimate EXP estimate Practical Interpretation increasedecrease Std Error DFDen t Ratio Probgt|t| Log(Vacancies amp Rent Loss rentable sf) Log(Total Rents Collected rentable sf) Log(Total Actual Collections rentable sf) Log(Management Fee rentable sf) Log(Total Utilities Rentable sf) Log(MampR rentable sf) Log(Subtotal Maintenance rentable sf) Log(Property Insurance rentable sf) Log(Total All Expenses Rentable sf) Log(NOI Rentable sf) Concessions rentable sf
Log(Vacancies amp Rent Loss rentable sf) Intercept 00893029328 10934118365 934 06116337119 1083785495375 01460072116 08841869197 Green Certified (1=yes 0=no)[Yes] -00318 01047 00991
Log(Vacancies amp Rent Loss rentable sf) Green Certified (1=yes 0=no)[Yes] -0031825668 09686754385 -313 009164153 139931853592 -03472843369 07288994904 Gym (1=yes 0=no)[Yes] 01060 00708 00767
Log(Vacancies amp Rent Loss rentable sf) Gym (1=yes 0=no)[Yes] 01007730854 11060256399 1060 01479591517 1412043780621 0681087207 0496931725 Pool (1=yes 0=no)[Yes] 01126 00089 00131
Log(Vacancies amp Rent Loss rentable sf) Pool (1=yes 0=no)[Yes] 01125884395 11191712315 1192 0113345701 506840641957 09933190097 032527325 Outdoor Common Area (1=yes 0=no)[Yes] 02673 -00803 -00764
Log(Vacancies amp Rent Loss rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 02672618233 13063824429 3064 01690835398 1429144230275 15806495624 01161688791 Walk Score 00102 00065 00066
Log(Vacancies amp Rent Loss rentable sf) Walk Score 00101642302 10102160615 102 00040763935 1219632686439 24934369735 00139912712 of Unfurnished Apartments -00003 -00009 -00008
Log(Vacancies amp Rent Loss rentable sf) of Unfurnished Apartments -0000250981 09997490505 -003 00006011213 142449410245 -04175214322 06769256723 Average Apt Unit Size -00003 -00002 -00002
Log(Vacancies amp Rent Loss rentable sf) Average Apt Unit Size -00002575258 09997425074 -003 00004990119 1315989429881 -05160713681 06066705884 Age -00026 00008 00015
Log(Vacancies amp Rent Loss rentable sf) Age -00026152008 09973882158 -026 00056263988 1391583522195 -04648090107 06427946925 Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00099 00043 00252
Log(Vacancies amp Rent Loss rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00099001013 10099492694 099 0100821633 1384002310718 00981942166 09219201454
Log(Total Rents Collected rentable sf) Intercept 30195696974 204824761253 194825 04164909532 1420770663705 72500246992 0
Log(Total Rents Collected rentable sf) Green Certified (1=yes 0=no)[Yes] 00996165255 11047471944 1047
Hopkins Erin Hopkins Erincant provide a confidencd interval for it
00590542761 1286416575023 16868638818 0094053065
Log(Total Rents Collected rentable sf) Gym (1=yes 0=no)[Yes] 00684081888 10708023088 708 0096210834 1330244953516 07110237581 04783143732
Log(Total Rents Collected rentable sf) Pool (1=yes 0=no)[Yes] 00088712036 10089106694 089 00916333982 708572236354 00968119025 09231490817
Log(Total Rents Collected rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00836597449 09197441505 -803 01126005752 1404546011941 -07429779537 04587359136
Log(Total Rents Collected rentable sf) Walk Score 0006479206 10065002414 065 0002794287 1413201347208 23187331419 00218436949
Log(Total Rents Collected rentable sf) of Unfurnished Apartments -00008678845 0999132492 -009 00003932429 1359586026848 -22069932213 00289920945
Log(Total Rents Collected rentable sf) Average Apt Unit Size -00002078918 09997921298 -002 00003300088 1382568544162 -06299582685 05297616269
Log(Total Rents Collected rentable sf) Age 00008364704 10008368204 008 00037477419 1387794745176 02231931757 08237133506
Log(Total Rents Collected rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00042999624 10043092206 043 0069466499 142786243042 00618998008 09507291881
Log(Total Actual Collections rentable sf) Intercept 30681072891 215011686418 205012 04070110501 1415072794017 75381424868 0
Log(Total Actual Collections rentable sf) Green Certified (1=yes 0=no)[Yes] 00944491888 10990533175 991 00578900924 1291837028308 16315259643 01052148631
Log(Total Actual Collections rentable sf) Gym (1=yes 0=no)[Yes] 00739127176 10767128233 767 0094247393 1335821297113 07842415071 04342868782
Log(Total Actual Collections rentable sf) Pool (1=yes 0=no)[Yes] 00130418887 10131273051 131 00885804441 654593026021 01472321442 08834013324
Log(Total Actual Collections rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00794248992 0923647384 -764 01101507414 1410305976559 -07210564195 04720684016
Log(Total Actual Collections rentable sf) Walk Score 00065530115 10065745295 066 00027272037 14047408887 24028316857 00175745575
Log(Total Actual Collections rentable sf) of Unfurnished Apartments -0000833078 09991672689 -008 00003850262 1365168778586 -21636916411 00322285543
Log(Total Actual Collections rentable sf) Average Apt Unit Size -00002169447 09997830788 -002 00003233576 1393662972101 -06709126047 05033865944
Log(Total Actual Collections rentable sf) Age 00015178151 10015189676 015 0003670824 1398532082324 04134807595 06798877496
Log(Total Actual Collections rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00249154485 10252284322 252 0067842812 1423468871242 03672525904 07139760316
Log(Management Fee rentable sf) Intercept -02128803278 08082528568 -1917 04254329778 585619088893 -0500385111 06186792644
Log(Management Fee rentable sf) Green Certified (1=yes 0=no)[Yes] 0019865513 10200641454 201 00593086525 1354977267554 03349513461 07381797603
Log(Management Fee rentable sf) Gym (1=yes 0=no)[Yes] -00082052627 09918283086 -082 00958032958 1386068833723 -00856469772 09318706455
Log(Management Fee rentable sf) Pool (1=yes 0=no)[Yes] 00174275629 10175803089 176 00771880661 202180965349 02257805358 08236388274
Log(Management Fee rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00153191452 10154370848 154 01103651216 1423896402644 01388042255 08898009734
Log(Management Fee rentable sf) Walk Score 00070459229 10070708039 071 00028008303 805559990921 25156550566 0013868745
Log(Management Fee rentable sf) of Unfurnished Apartments -0001358177 09986427449 -014 00003916726 1421224837061 -34676335479 00006950146
Log(Management Fee rentable sf) Average Apt Unit Size -00005130214 09994871101 -005 00003375961 1007585612206 -15196307445 0131735624
Log(Management Fee rentable sf) Age 00013613923 10013623194 014 00037151697 1277713043957 03664414822 07146417588
Log(Management Fee rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -00674463479 09347778721 -652 00657081953 1299283630266 -10264525997 03065854809
Log(Total Utilities Rentable sf) Intercept -03748562337 06873880949 -3126 04464274077 1402143832266 -08396801522 04025171642
Log(Total Utilities Rentable sf) Green Certified (1=yes 0=no)[Yes] 00873163337 10912418217 912 0064576715 1358457024729 13521334071 01785794114
Log(Total Utilities Rentable sf) Gym (1=yes 0=no)[Yes] 01175979311 11247917766 1248 01048349264 1384172144229 11217438221 02639135776
Log(Total Utilities Rentable sf) Pool (1=yes 0=no)[Yes] 00115680134 10116351816 116 00928512423 72633370166 01245865221 09011950626
Log(Total Utilities Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00222539972 10225034645 225 01216524447 1425571484619 01829309493 0855112103
Log(Total Utilities Rentable sf) Walk Score 00068649233 10068885409 069 00029812807 1396033046894 23026759291 00227754146
Log(Total Utilities Rentable sf) of Unfurnished Apartments -00006773222 09993229071 -007 00004273761 1401067188346 -15848386198 01152575495
Log(Total Utilities Rentable sf) Average Apt Unit Size -00003442022 0999655857 -003 00003581401 1425120147852 -09610825805 03381384619
Log(Total Utilities Rentable sf) Age 00048795122 10048914364 049 00040600929 1425855030198 12018227897 02314244716
Log(Total Utilities Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -01198355423 08870663096 -1129 00742421382 1413320388001 -16141176043 01087323819
Log(MampR rentable sf) Intercept -09030689887 04053238148 -5947 0437858541 1384008312652 -20624674504 00410332652
Log(MampR rentable sf) Green Certified (1=yes 0=no)[Yes] 00937424436 10982768413 983 00639155521 1376081716673 14666609392 01447499128
Log(MampR rentable sf) Gym (1=yes 0=no)[Yes] 00037664885 10037735907 038 01036113865 1396450691334 00363520715 09710535435
Log(MampR rentable sf) Pool (1=yes 0=no)[Yes] 01319613595 11410642271 1411 00887446725 719561267791 14869778183 0141389644
Log(MampR rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00521515872 09491849716 -508 01197720975 1428478988157 -04354235112 06639122497
Log(MampR rentable sf) Walk Score 00110131704 10110740386 111 00029197236 1385662208531 37719907631 00002391344
Log(MampR rentable sf) of Unfurnished Apartments -00008849955 09991153959 -009 00004219429 1410140957414 -20974297602 0037740228
Log(MampR rentable sf) Average Apt Unit Size 00000594506 10000594524 001 0000353075 1429981472006 01683796031 08665225748
Log(MampR rentable sf) Age 0007624822 1007653965 077 00039990018 142990029884 19066812998 00585678315
Log(MampR rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00598131349 10616381449 616 00727173027 1406732379184 08225433659 04121598071
Log(Subtotal Maintenance rentable sf) Intercept -07997344997 04494482769 -5506 0489167182 1380935604874 -16348899298 01043496414
Log(Subtotal Maintenance rentable sf) Green Certified (1=yes 0=no)[Yes] 01180969773 11253532398 1254 00707986514 1348907221481 16680681771 00976219515
Log(Subtotal Maintenance rentable sf) Gym (1=yes 0=no)[Yes] 00409351965 10417845921 418 01148796072 1378640116803 03563312718 07221372278
Log(Subtotal Maintenance rentable sf) Pool (1=yes 0=no)[Yes] 01515780559 11636691295 1637 0100780712 617547240206 15040383505 01376688864
Log(Subtotal Maintenance rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -0078076377 09248937833 -751 01331885868 1426567369893 -05862092154 05586613077
Log(Subtotal Maintenance rentable sf) Walk Score 0011889233 10119601909 120 00032614069 1377504918879 36454307183 00003773801
Log(Subtotal Maintenance rentable sf) of Unfurnished Apartments -00008153416 09991849907 -008 00004682078 1398534995511 -17414095506 00838107083
Log(Subtotal Maintenance rentable sf) Average Apt Unit Size 00005083484 10005084776 005 00003930253 1428434249161 12934242295 01979520949
Log(Subtotal Maintenance rentable sf) Age 00104106727 10104650523 105 00044515054 1428449267664 23386858733 00207383998
Log(Subtotal Maintenance rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 02440298206 12763823925 2764 0081177414 1402563601749 30061295196 00031359748
Log(Property Insurance rentable sf) Intercept -08916874806 04099633635 -5900 04516384713 1429624291993 -19743390727 00502702101
Log(Property Insurance rentable sf) Green Certified (1=yes 0=no)[Yes] 01239058141 11319092561 1319 0062692592 1281678143933 19764027959 00502564371
Log(Property Insurance rentable sf) Gym (1=yes 0=no)[Yes] -0003522638 09964835593 -035 01024969537 1314939748594 -0034368221 09726356404
Log(Property Insurance rentable sf) Pool (1=yes 0=no)[Yes] 00227423743 10230029538 230 01040308572 1125700947624 02186118131 08273482928
Log(Property Insurance rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00155809876 10157030041 157 01206677853 1368483458399 01291230096 08974498986
Log(Property Insurance rentable sf) Walk Score 00072977866 10073244804 073 00030353828 1428602075435 24042392705 00174877086
Log(Property Insurance rentable sf) of Unfurnished Apartments -00010061941 09989943119 -010 0000420017 1337858380697 -23956034086 00179774093
Log(Property Insurance rentable sf) Average Apt Unit Size -00006330482 09993671521 -006 00003514502 1338864329416 -18012458048 0073914725
Log(Property Insurance rentable sf) Age 00009661099 10009665767 010 00039921418 1338497494964 02420028921 08091483095
Log(Property Insurance rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -00520208103 09493091112 -507 00749301111 1411273861679 -06942577501 04886618561
Log(Total All Expenses Rentable sf) Intercept 17410862845 57035357214 47035 03946731547 141889623796 44114636723 00000201648
Log(Total All Expenses Rentable sf) Green Certified (1=yes 0=no)[Yes] 01231722438 11310792255 1311 00565275641 1341244163534 21789766772 00310802733
Log(Total All Expenses Rentable sf) Gym (1=yes 0=no)[Yes] 00096244971 10096709615 097 00919378962 1370603130567 01046847658 09167789899
Log(Total All Expenses Rentable sf) Pool (1=yes 0=no)[Yes] 01610294116 11747195186 1747 00846545666 801516751987 19021940341 00607378863
Log(Total All Expenses Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00361842114 09644626121 -355 01071504659 1418739239709 -03376953252 07360919324
Log(Total All Expenses Rentable sf) Walk Score 00087371658 10087754463 088 00026426023 1411809488418 33062734678 00011989895
Log(Total All Expenses Rentable sf) of Unfurnished Apartments -00008720665 09991283137 -009 00003752966 1389800988186 -23236728617 00215934791
Log(Total All Expenses Rentable sf) Average Apt Unit Size -0000155413 0999844599 -002 00003145108 1409449329598 -0494142052 06219751067
Log(Total All Expenses Rentable sf) Age 00015666155 10015678433 016 00035695206 1412387206124 04388868073 06614142124
Log(Total All Expenses Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00157918953 10159172462 159 00657593447 1424551160559 02401467861 08105616925
Log(NOI Rentable sf) Intercept 27416093787 155119295878 145119 049686036 1426328429735 55178669889 0000000157
Log(NOI Rentable sf) Green Certified (1=yes 0=no)[Yes] 00932241108 10977077159 977 00701671113 1292740226257 13286012361 01863200879
Log(NOI Rentable sf) Gym (1=yes 0=no)[Yes] 0111280688 11177085902 1177 0114413579 13320261997 09726178396 03325061802
Log(NOI Rentable sf) Pool (1=yes 0=no)[Yes] -00608871507 0940929417 -591 01107002034 838263437204 -05500184174 05837693269
Log(NOI Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -01393113526 08699571229 -1300 01340931949 1397855428856 -10389144106 03006382455
Log(NOI Rentable sf) Walk Score 00045000262 10045101666 045 0003337636 1423581725818 13482675372 01797136327
Log(NOI Rentable sf) of Unfurnished Apartments -00007116645 09992885887 -007 00004679272 1358400867851 -15208872073 01306124688
Log(NOI Rentable sf) Average Apt Unit Size -00001937801 09998062387 -002 00003921685 1372175013367 -04941245389 06220083144
Log(NOI Rentable sf) Age 00034607088 1003466704 035 00044548378 1376438770548 07768428318 04385844885
Log(NOI Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00488697769 10500835966 501 00828565286 1429949688826 05898120243 0556247504
Concessions rentable sf Intercept 0091580439 10959049266 959 12772069558 1418541020247 00717036801 09429387231
Concessions rentable sf Green Certified (1=yes 0=no)[Yes] 01110697527 11174728508 1175 01814813765 1293641668833 06120173584 05416004511
Concessions rentable sf Gym (1=yes 0=no)[Yes] -05094051331 06008529 -3991 02955403985 1336296409402 -17236395961 00870857294
Concessions rentable sf Pool (1=yes 0=no)[Yes] -00886152984 09151975838 -848 02791864929 69298361986 -03174053928 07518903943
Concessions rentable sf Outdoor Common Area (1=yes 0=no)[Yes] 04576291372 15803228114 5803 03455726285 1408379747117 13242632646 01875606951
Concessions rentable sf Walk Score 00120688741 10121419968 121 00085630896 1409791646097 14094064916 01609170757
Concessions rentable sf of Unfurnished Apartments -00007045588 09992956894 -007 00012075862 1364744404696 -05834438741 05605574922
Concessions rentable sf Average Apt Unit Size -00003193903 09996806607 -003 00010135961 1389703034326 -03151061148 07531537379
Concessions rentable sf Age 00130223218 10131074815 131 00115086772 139464867267 11315220311 02597773256
Concessions rentable sf Building Mix (0=multifamily 1 = mixed-use)[Mixed] -03719888249 06893619462 -3106 02129597676 1426034459287 -17467563435 00828326573
Y Term Practical Interpretation increasedecrease Probgt|t| Total Rents Collected Subtotal Maintenance Property Insurance Total Expenses
Log(Total Rents Collected rentable sf) Green Certified (1=yes 0=no)[Yes] 1047
Hopkins Erin Hopkins Erincant provide a confidencd interval for it
009 130837635934 13311489362 01847683215 67633617021
Log(Subtotal Maintenance rentable sf) Green Certified (1=yes 0=no)[Yes] 1254 010 267662568114 08839769656 0489370035 133484365708
Log(Property Insurance rentable sf) Green Certified (1=yes 0=no)[Yes] 1319 005 44887430941 07758149459 02417429373 41261056301
Log(Total All Expenses Rentable sf) Green Certified (1=yes 0=no)[Yes] 1311 003 103066299601 12390720963 00474343371 5067818194
206907297628 2385711159 02072356932 9194606526
318766961061 22633758919 04452208547 128154919371
92461669878 09545425866 01280485733 38832017239
143925847783 15966970999 02187893202 54018796992
176714125561 02006495648 02876780533 58992020575
232897515382 0726170332 00787094673 69517596041
Non-green sf average Financial Green Impact sf Financial green impact differencesf Green impactapt Green impactproperty 51780910259 05203453537 00494304264 22609306646
178353784788 17547710996 02048626598 95961490345
Total Rents Collected sf 1047 2356 2603 $ 247 $ 2189 $ 551683 113769814112 12206875575 03432049607 118156743193
Subtotal Maintenance sf 1254 160 180 $ 020 $ 178 $ 44843 301239240258 10561596849 0204970258 110903994641
Property Insurance sf 1319 036 041 $ 005 $ 42 $ 10601 918584487 08376649832 00914663991 4146546939
Total Expenses sf 1311 852 963 $ 112 $ 990 $ 249535 265183769576 19294929362 03500602344 108447158033
226055903548 13557897255 03988791741 10971207244
334894587007 17970717884 05122599181 124640467569
5542518821 31394328066 04875650977 200668786372
112655732059 13445692884 02031297086 43995867235
129139526152 1168069688 00518980213 4651511283
Avg Apt Size Avg of Units 151098478261 13975 02004130435 51873478261
192155046737 21015937064 02616549091 8357602264
887 252 514840434082 52766375656 02375463267 174375582672
81421971535 06694487849 00899424521 2748686222
30246817244 21594341279 03308639536 97277207077
488523197409 27727612187 0646599696 130752346177
318750561687 38903340576 03852711795 142409683793
310384048163 43119745565 03335824966 138846874251
Green Certification Impacts 48578215663 0350218077 03095574205 23695139998
Dependent Variable Per Square Foot Per Apartment Per Property 192237574111 13374121765 02053242615 84027476689
Total Rents Collected $ 247 $ 2189 $ 551683 62979912788 05343191729 00816289996 45390243161
Subtotal Maintenance $ 020 $ 178 $ 44843 148378959661 14651715909 02004049722 80900580942
Property Insurance $ 005 $ 42 $ 10601 196798863889 11267176542 02499920663 90266351433
Total Expenses $ 112 $ 990 $ 249535 281508617823 09686995581 01118170881 119863342059
58584849751 0106864586 04187933949 44180073736
126756167712 1265684516 02796423029 87538414144
176550549412 24957340254 02343899179 88904473415
252421786235 28063734042 03142238564 133776179357
191875932907 13637043757 03440324697 987034902
159508092934 13109374847 02091697013 98967206196
342739845467 09614092295 03929892961 129755936769
192510355167 32804720611 01743191858 134560085596
257829360401 13666691797 01527100011 56329812754
358622391559 14251973427 03437553732 101098436889
217744157919 24046486586 01864745418 68711016642
222112557003 22022148788 07879755849 97807110765
202535763689 04548110217 10003436751 127886698915
155879815194 23816051158 04816227091 119033557201
11066078843 23413202706 06413902496 81812176347
151924709838 18873401649 05711000232 105403544539
163604010853 16052949068 02714509557 82030431823
133974400047 11018949984 03560839935 59096477943
133528448829 13647819036 02538331588 66159357367
187400008959 16889788117 030870974 115752907975
155246293804 18308314258 03852380906 116657595614
34082816218 05447090935 09838411173 13641308574
201220131342 11192465065 03188344246 93786154242
139108532616 13313944086 03887737775 69698295902
191656858207 15717927807 06002115982 119380046581
200921599083 12597596226 03267106334 82474085087
57536742874 00453219212 00300766262 10569757217
120548294116 11607892527 03275736725 74435143659
123188534664 1404028789 03510968138 78762080781
59543029729 0899713372 01652374748 28143456117
144215639215 19193238703 02899837711 67370054173
340046684831 19619729415 04325060698 120608464163
208244777176 28183367899 037 73104355304
234349752613 19432301154 0351134881 107484594815
136370903402 17029933791 01989576534 50899930579
149968383478 14209793679 02735642323 63813718869
81145819519 0920766851 00474564037 30674168785
226307446224 12529424404 02036192613 69235920453
132787305462 08047482453 01232346659 41808605432
251519090044 21798380428 0376480317 80396623551
492269138212 12196979039 02981674812 128316943664
107177195916 08016374211 0113808252 40618650625
128238528886 10751217142 01843492552 6476830365
57582611557 11908427448 0874334536 134004066235
43835651097 34822540694 03904989384 146763800425
205787355386 1429219053 02624404931 5321754079
463148430769 07709353846 06150738462 101617384615
377949548611 28670972222 08296944444 109743576389
360087564176 03501711352 18551055334 110041072447
18371979614 18232783153 07267294459 61184870906
678035276363 13443501226 10431616676 167533484248
56073359244 10138647576 01591318768 51440832304
189431314891 05101557395 03677787459 41010945328
383550342095 23244425576 04086557393 98151764619
115544349685 03310482653 037 40344851625
7552318246 0955023726 01241945851 24368780848
133083101881 19451300341 00938801919 48731378614
122308363087 13760780005 01439989014 45100624828
84908269322 10857071617 01155797799 36082570734
263116048067 10733627163 041902582 60372732395
76183752731 09621126305 01069925907 26170373239
172494454001 11781600332 03919686814 59016193131
342076422068 22741368431 03165622465 73557085549
215534567901 1485497076 02210396361 49118778428
314593058927 23798916958 02751353803 121998559501
586535191691 21029046354 02109026171 91979074439
138093310078 14595490221 02142269839 44286283792
227203645682 04584630891 05737147639 93344680527
572754455737 17713614269 01642228739 92545561671
60603870458 04541110154 01180884676 15902125521
358781017266 33847643857 06854022643 139200146946
342079216629 24477703832 0463059603 67166143833
651201231187 51019950176 12529595849 222094150831
369798669702 21700816928 0444474205 101410502507
421838575952 28823013788 05443272608 151399739597
626095189209 20826275416 04947814184 184651096472
214882899762 25034709712 06359683889 109534721722
274037120739 26718517094 037 67504928595
252667703737 25588590114 05379535858 109041874345
59253832495 01099622961 04620367393 19262874847
150862851538 18053109961 07398729558 71488607075
111196959019 00928417366 037 09427894164
667360269858 07921160191 02989609494 104670639024
2356 160 036 852
Log(Vacancies amp Rent Loss rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified -00318 00916 -00313 07289
Fitness Center 01008 01480 01060 04969
Pool 01126 01133 01192 03253
Outdoor Common Area 02673 01691 03064 01162
Walk Score 00102 00041 00102 00140
of Unfurnished Apartments -00003 00006 -00003 06769
Average Apt Unit Size -00003 00005 -00003 06067
Age -00026 00056 -00026 06428
Building Mix 00099 01008 00099 09219
Note R2 = 645
Log(Total Rents Collected rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00996 00591 01047 00941
Fitness Center 00684 00962 00708 04783
Pool 00089 00916 00089 09231
Outdoor Common Area -00837 01126 -00803 04587
Walk Score 00065 00028 00065 00218
of Unfurnished Apartments -00009 00004 -00009 00290
Average Apt Unit Size -00002 00003 -00002 05298
Age 00008 00037 00008 08237
Building Mix 00043 00695 00043 09507
Note R2 = 3318
Log(Total Actual Collections rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00944 00579 00991 01052
Fitness Center 00739 00942 00767 04343
Pool 00130 00886 00131 08834
Outdoor Common Area -00794 01102 -00764 04721
Walk Score 00066 00027 00066 00176
of Unfurnished Apartments -00008 00004 -00008 00322
Average Apt Unit Size -00002 00003 -00002 05034
Age 00015 00037 00015 06799
Building Mix 00249 00678 00252 07140
Note R2 = 3219
Log(Management Fee rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00199 00593 00201 07382
Fitness Center -00082 00958 -00082 09319
Pool 00174 00772 00176 08236
Outdoor Common Area 00153 01104 00154 08898
Walk Score 00070 00028 00071 00139
of Unfurnished Apartments -00014 00004 -00014 00007
Average Apt Unit Size -00005 00003 -00005 01317
Age 00014 00037 00014 07146
Building Mix -00674 00657 -00652 03066
Note R2 = 1697
Log(Total Utilities Rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00873 00646 00912 01786
Fitness Center 01176 01048 01248 02639
Pool 00116 00929 00116 09012
Outdoor Common Area 00223 01217 00225 08551
Walk Score 00069 00030 00069 00228
of Unfurnished Apartments -00007 00004 -00007 01153
Average Apt Unit Size -00003 00004 -00003 03381
Age 00049 00041 00049 02314
Building Mix -01198 00742 -01129 01087
Note R2 = 2171
Log(MampR rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00937 00639 00983 01447
Fitness Center 00038 01036 00038 09711
Pool 01320 00887 01411 01414
Outdoor Common Area -00522 01198 -00508 06639
Walk Score 00110 00029 00111 00002
of Unfurnished Apartments -00009 00004 -00009 00377
Average Apt Unit Size 00001 00004 00001 08665
Age 00076 00040 00077 00586
Building Mix 00598 00727 00616 04122
Note R2 = 2620
Log(Subtotal Maintenance rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 01181 00708 01254 00976
Fitness Center 00409 01149 00418 07221
Pool 01516 01008 01637 01377
Outdoor Common Area -00781 01332 -00751 05587
Walk Score 00119 00033 00120 00004
of Unfurnished Apartments -00008 00005 -00008 00838
Average Apt Unit Size 00005 00004 00005 01980
Age 00104 00045 00105 00207
Building Mix 02440 00812 02764 00031
Note R2 = 3218
Log(Property Insurance rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 01239 00627 01319 00503
Fitness Center -00035 01025 -00035 09726
Pool 00227 01040 00230 08273
Outdoor Common Area 00156 01207 00157 08974
Walk Score 00073 00030 00073 00175
of Unfurnished Apartments -00010 00004 -00010 00180
Average Apt Unit Size -00006 00004 -00006 00739
Age 00010 00040 00010 08091
Building Mix -00520 00749 -00507 04887
Note R2 = 3902
Log(Total All Expenses Rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 01232 00565 01311 00311
Fitness Center 00096 00919 00097 09168
Pool 01610 00847 01747 00607
Outdoor Common Area -00362 01072 -00355 07361
Walk Score 00087 00026 00088 00012
of Unfurnished Apartments -00009 00004 -00009 00216
Average Apt Unit Size -00002 00003 -00002 06220
Age 00016 00036 00016 06614
Building Mix 00158 00658 00159 08106
Note R2 = 2943
Log(NOI Rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00932 00702 00977 01863
Fitness Center 01113 01144 01177 03325
Pool -00609 01107 -00591 05838
Outdoor Common Area -01393 01341 -01300 03006
Walk Score 00045 00033 00045 01797
of Unfurnished Apartments -00007 00005 -00007 01306
Average Apt Unit Size -00002 00004 -00002 06220
Age 00035 00045 00035 04386
Building Mix 00489 00829 00501 05562
Note R2 = 3669
Concessions rentable sf
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 01111 01815 01175 05416
Fitness Center -05094 02955 -03991 00871
Pool -00886 02792 -00848 07519
Outdoor Common Area 04576 03456 05803 01876
Walk Score 00121 00086 00121 01609
of Unfurnished Apartments -00007 00012 -00007 05606
Average Apt Unit Size -00003 00010 -00003 07532
Age 00130 00115 00131 02598
Building Mix -03720 02130 -03106 00828
Note R2 = 2402
Y Term ~Bias Estimate EXP estimate Practical Interpretation increasedecrease Std Error DFDen t Ratio Probgt|t| Estimate Std Error Practical Interpretation Significance
Log(Vacancies amp Rent Loss rentable sf) Intercept 00893029328 10934118365 934 06116337119 1083785495375 01460072116 08841869197 Green Cert
Log(Vacancies amp Rent Loss rentable sf) Green Certified (1=yes 0=no)[Yes] -0031825668 09686754385 -313 009164153 139931853592 -03472843369 07288994904 Gym
Log(Vacancies amp Rent Loss rentable sf) Gym (1=yes 0=no)[Yes] 01007730854 11060256399 1060 01479591517 1412043780621 0681087207 0496931725
Log(Vacancies amp Rent Loss rentable sf) Pool (1=yes 0=no)[Yes] 01125884395 11191712315 1192 0113345701 506840641957 09933190097 032527325
Log(Vacancies amp Rent Loss rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 02672618233 13063824429 3064 01690835398 1429144230275 15806495624 01161688791
Log(Vacancies amp Rent Loss rentable sf) Walk Score 00101642302 10102160615 102 00040763935 1219632686439 24934369735 00139912712
Log(Vacancies amp Rent Loss rentable sf) of Unfurnished Apartments -0000250981 09997490505 -003 00006011213 142449410245 -04175214322 06769256723
Log(Vacancies amp Rent Loss rentable sf) Average Apt Unit Size -00002575258 09997425074 -003 00004990119 1315989429881 -05160713681 06066705884
Log(Vacancies amp Rent Loss rentable sf) Age -00026152008 09973882158 -026 00056263988 1391583522195 -04648090107 06427946925
Log(Vacancies amp Rent Loss rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00099001013 10099492694 099 0100821633 1384002310718 00981942166 09219201454
Log(Total Rents Collected rentable sf) Intercept 30195696974 204824761253 194825 04164909532 1420770663705 72500246992 0
Log(Total Rents Collected rentable sf) Green Certified (1=yes 0=no)[Yes] 00996165255 11047471944 1047
Hopkins Erin Hopkins Erincant provide a confidencd interval for it
00590542761 1286416575023 16868638818 0094053065 0099617 00590542761 1047
Log(Total Rents Collected rentable sf) Gym (1=yes 0=no)[Yes] 00684081888 10708023088 708 0096210834 1330244953516 07110237581 04783143732
Log(Total Rents Collected rentable sf) Pool (1=yes 0=no)[Yes] 00088712036 10089106694 089 00916333982 708572236354 00968119025 09231490817
Log(Total Rents Collected rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00836597449 09197441505 -803 01126005752 1404546011941 -07429779537 04587359136
Log(Total Rents Collected rentable sf) Walk Score 0006479206 10065002414 065 0002794287 1413201347208 23187331419 00218436949
Log(Total Rents Collected rentable sf) of Unfurnished Apartments -00008678845 0999132492 -009 00003932429 1359586026848 -22069932213 00289920945 variance components to talk about how much of the total error that is attribuatle to city
Log(Total Rents Collected rentable sf) Average Apt Unit Size -00002078918 09997921298 -002 00003300088 1382568544162 -06299582685 05297616269
Log(Total Rents Collected rentable sf) Age 00008364704 10008368204 008 00037477419 1387794745176 02231931757 08237133506
Log(Total Rents Collected rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00042999624 10043092206 043 0069466499 142786243042 00618998008 09507291881
Log(Total Actual Collections rentable sf) Intercept 30681072891 215011686418 205012 04070110501 1415072794017 75381424868 0
Log(Total Actual Collections rentable sf) Green Certified (1=yes 0=no)[Yes] 00944491888 10990533175 991 00578900924 1291837028308 16315259643 01052148631
Log(Total Actual Collections rentable sf) Gym (1=yes 0=no)[Yes] 00739127176 10767128233 767 0094247393 1335821297113 07842415071 04342868782
Log(Total Actual Collections rentable sf) Pool (1=yes 0=no)[Yes] 00130418887 10131273051 131 00885804441 654593026021 01472321442 08834013324
Log(Total Actual Collections rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00794248992 0923647384 -764 01101507414 1410305976559 -07210564195 04720684016
Log(Total Actual Collections rentable sf) Walk Score 00065530115 10065745295 066 00027272037 14047408887 24028316857 00175745575
Log(Total Actual Collections rentable sf) of Unfurnished Apartments -0000833078 09991672689 -008 00003850262 1365168778586 -21636916411 00322285543
Log(Total Actual Collections rentable sf) Average Apt Unit Size -00002169447 09997830788 -002 00003233576 1393662972101 -06709126047 05033865944
Log(Total Actual Collections rentable sf) Age 00015178151 10015189676 015 0003670824 1398532082324 04134807595 06798877496
Log(Total Actual Collections rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00249154485 10252284322 252 0067842812 1423468871242 03672525904 07139760316
Log(Management Fee rentable sf) Intercept -02128803278 08082528568 -1917 04254329778 585619088893 -0500385111 06186792644
Log(Management Fee rentable sf) Green Certified (1=yes 0=no)[Yes] 0019865513 10200641454 201 00593086525 1354977267554 03349513461 07381797603
Log(Management Fee rentable sf) Gym (1=yes 0=no)[Yes] -00082052627 09918283086 -082 00958032958 1386068833723 -00856469772 09318706455
Log(Management Fee rentable sf) Pool (1=yes 0=no)[Yes] 00174275629 10175803089 176 00771880661 202180965349 02257805358 08236388274
Log(Management Fee rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00153191452 10154370848 154 01103651216 1423896402644 01388042255 08898009734
Log(Management Fee rentable sf) Walk Score 00070459229 10070708039 071 00028008303 805559990921 25156550566 0013868745
Log(Management Fee rentable sf) of Unfurnished Apartments -0001358177 09986427449 -014 00003916726 1421224837061 -34676335479 00006950146
Log(Management Fee rentable sf) Average Apt Unit Size -00005130214 09994871101 -005 00003375961 1007585612206 -15196307445 0131735624
Log(Management Fee rentable sf) Age 00013613923 10013623194 014 00037151697 1277713043957 03664414822 07146417588
Log(Management Fee rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -00674463479 09347778721 -652 00657081953 1299283630266 -10264525997 03065854809
Log(Total Utilities Rentable sf) Intercept -03748562337 06873880949 -3126 04464274077 1402143832266 -08396801522 04025171642
Log(Total Utilities Rentable sf) Green Certified (1=yes 0=no)[Yes] 00873163337 10912418217 912 0064576715 1358457024729 13521334071 01785794114
Log(Total Utilities Rentable sf) Gym (1=yes 0=no)[Yes] 01175979311 11247917766 1248 01048349264 1384172144229 11217438221 02639135776
Log(Total Utilities Rentable sf) Pool (1=yes 0=no)[Yes] 00115680134 10116351816 116 00928512423 72633370166 01245865221 09011950626
Log(Total Utilities Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00222539972 10225034645 225 01216524447 1425571484619 01829309493 0855112103
Log(Total Utilities Rentable sf) Walk Score 00068649233 10068885409 069 00029812807 1396033046894 23026759291 00227754146
Log(Total Utilities Rentable sf) of Unfurnished Apartments -00006773222 09993229071 -007 00004273761 1401067188346 -15848386198 01152575495
Log(Total Utilities Rentable sf) Average Apt Unit Size -00003442022 0999655857 -003 00003581401 1425120147852 -09610825805 03381384619
Log(Total Utilities Rentable sf) Age 00048795122 10048914364 049 00040600929 1425855030198 12018227897 02314244716
Log(Total Utilities Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -01198355423 08870663096 -1129 00742421382 1413320388001 -16141176043 01087323819
Log(MampR rentable sf) Intercept -09030689887 04053238148 -5947 0437858541 1384008312652 -20624674504 00410332652
Log(MampR rentable sf) Green Certified (1=yes 0=no)[Yes] 00937424436 10982768413 983 00639155521 1376081716673 14666609392 01447499128
Log(MampR rentable sf) Gym (1=yes 0=no)[Yes] 00037664885 10037735907 038 01036113865 1396450691334 00363520715 09710535435
Log(MampR rentable sf) Pool (1=yes 0=no)[Yes] 01319613595 11410642271 1411 00887446725 719561267791 14869778183 0141389644
Log(MampR rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00521515872 09491849716 -508 01197720975 1428478988157 -04354235112 06639122497
Log(MampR rentable sf) Walk Score 00110131704 10110740386 111 00029197236 1385662208531 37719907631 00002391344
Log(MampR rentable sf) of Unfurnished Apartments -00008849955 09991153959 -009 00004219429 1410140957414 -20974297602 0037740228
Log(MampR rentable sf) Average Apt Unit Size 00000594506 10000594524 001 0000353075 1429981472006 01683796031 08665225748
Log(MampR rentable sf) Age 0007624822 1007653965 077 00039990018 142990029884 19066812998 00585678315
Log(MampR rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00598131349 10616381449 616 00727173027 1406732379184 08225433659 04121598071
Log(Subtotal Maintenance rentable sf) Intercept -07997344997 04494482769 -5506 0489167182 1380935604874 -16348899298 01043496414
Log(Subtotal Maintenance rentable sf) Green Certified (1=yes 0=no)[Yes] 01180969773 11253532398 1254 00707986514 1348907221481 16680681771 00976219515
Log(Subtotal Maintenance rentable sf) Gym (1=yes 0=no)[Yes] 00409351965 10417845921 418 01148796072 1378640116803 03563312718 07221372278
Log(Subtotal Maintenance rentable sf) Pool (1=yes 0=no)[Yes] 01515780559 11636691295 1637 0100780712 617547240206 15040383505 01376688864
Log(Subtotal Maintenance rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -0078076377 09248937833 -751 01331885868 1426567369893 -05862092154 05586613077
Log(Subtotal Maintenance rentable sf) Walk Score 0011889233 10119601909 120 00032614069 1377504918879 36454307183 00003773801
Log(Subtotal Maintenance rentable sf) of Unfurnished Apartments -00008153416 09991849907 -008 00004682078 1398534995511 -17414095506 00838107083
Log(Subtotal Maintenance rentable sf) Average Apt Unit Size 00005083484 10005084776 005 00003930253 1428434249161 12934242295 01979520949
Log(Subtotal Maintenance rentable sf) Age 00104106727 10104650523 105 00044515054 1428449267664 23386858733 00207383998
Log(Subtotal Maintenance rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 02440298206 12763823925 2764 0081177414 1402563601749 30061295196 00031359748
Log(Property Insurance rentable sf) Intercept -08916874806 04099633635 -5900 04516384713 1429624291993 -19743390727 00502702101
Log(Property Insurance rentable sf) Green Certified (1=yes 0=no)[Yes] 01239058141 11319092561 1319 0062692592 1281678143933 19764027959 00502564371
Log(Property Insurance rentable sf) Gym (1=yes 0=no)[Yes] -0003522638 09964835593 -035 01024969537 1314939748594 -0034368221 09726356404
Log(Property Insurance rentable sf) Pool (1=yes 0=no)[Yes] 00227423743 10230029538 230 01040308572 1125700947624 02186118131 08273482928
Log(Property Insurance rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00155809876 10157030041 157 01206677853 1368483458399 01291230096 08974498986
Log(Property Insurance rentable sf) Walk Score 00072977866 10073244804 073 00030353828 1428602075435 24042392705 00174877086
Log(Property Insurance rentable sf) of Unfurnished Apartments -00010061941 09989943119 -010 0000420017 1337858380697 -23956034086 00179774093
Log(Property Insurance rentable sf) Average Apt Unit Size -00006330482 09993671521 -006 00003514502 1338864329416 -18012458048 0073914725
Log(Property Insurance rentable sf) Age 00009661099 10009665767 010 00039921418 1338497494964 02420028921 08091483095
Log(Property Insurance rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -00520208103 09493091112 -507 00749301111 1411273861679 -06942577501 04886618561
Log(Total All Expenses Rentable sf) Intercept 17410862845 57035357214 47035 03946731547 141889623796 44114636723 00000201648
Log(Total All Expenses Rentable sf) Green Certified (1=yes 0=no)[Yes] 01231722438 11310792255 1311 00565275641 1341244163534 21789766772 00310802733
Log(Total All Expenses Rentable sf) Gym (1=yes 0=no)[Yes] 00096244971 10096709615 097 00919378962 1370603130567 01046847658 09167789899
Log(Total All Expenses Rentable sf) Pool (1=yes 0=no)[Yes] 01610294116 11747195186 1747 00846545666 801516751987 19021940341 00607378863
Log(Total All Expenses Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00361842114 09644626121 -355 01071504659 1418739239709 -03376953252 07360919324
Log(Total All Expenses Rentable sf) Walk Score 00087371658 10087754463 088 00026426023 1411809488418 33062734678 00011989895
Log(Total All Expenses Rentable sf) of Unfurnished Apartments -00008720665 09991283137 -009 00003752966 1389800988186 -23236728617 00215934791
Log(Total All Expenses Rentable sf) Average Apt Unit Size -0000155413 0999844599 -002 00003145108 1409449329598 -0494142052 06219751067
Log(Total All Expenses Rentable sf) Age 00015666155 10015678433 016 00035695206 1412387206124 04388868073 06614142124
Log(Total All Expenses Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00157918953 10159172462 159 00657593447 1424551160559 02401467861 08105616925
Log(NOI Rentable sf) Intercept 27416093787 155119295878 145119 049686036 1426328429735 55178669889 0000000157
Log(NOI Rentable sf) Green Certified (1=yes 0=no)[Yes] 00932241108 10977077159 977 00701671113 1292740226257 13286012361 01863200879
Log(NOI Rentable sf) Gym (1=yes 0=no)[Yes] 0111280688 11177085902 1177 0114413579 13320261997 09726178396 03325061802
Log(NOI Rentable sf) Pool (1=yes 0=no)[Yes] -00608871507 0940929417 -591 01107002034 838263437204 -05500184174 05837693269
Log(NOI Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -01393113526 08699571229 -1300 01340931949 1397855428856 -10389144106 03006382455
Log(NOI Rentable sf) Walk Score 00045000262 10045101666 045 0003337636 1423581725818 13482675372 01797136327
Log(NOI Rentable sf) of Unfurnished Apartments -00007116645 09992885887 -007 00004679272 1358400867851 -15208872073 01306124688
Log(NOI Rentable sf) Average Apt Unit Size -00001937801 09998062387 -002 00003921685 1372175013367 -04941245389 06220083144
Log(NOI Rentable sf) Age 00034607088 1003466704 035 00044548378 1376438770548 07768428318 04385844885
Log(NOI Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00488697769 10500835966 501 00828565286 1429949688826 05898120243 0556247504
Concessions rentable sf Intercept 0091580439 10959049266 959 12772069558 1418541020247 00717036801 09429387231
Concessions rentable sf Green Certified (1=yes 0=no)[Yes] 01110697527 11174728508 1175 01814813765 1293641668833 06120173584 05416004511
Concessions rentable sf Gym (1=yes 0=no)[Yes] -05094051331 06008529 -3991 02955403985 1336296409402 -17236395961 00870857294
Concessions rentable sf Pool (1=yes 0=no)[Yes] -00886152984 09151975838 -848 02791864929 69298361986 -03174053928 07518903943
Concessions rentable sf Outdoor Common Area (1=yes 0=no)[Yes] 04576291372 15803228114 5803 03455726285 1408379747117 13242632646 01875606951
Concessions rentable sf Walk Score 00120688741 10121419968 121 00085630896 1409791646097 14094064916 01609170757
Concessions rentable sf of Unfurnished Apartments -00007045588 09992956894 -007 00012075862 1364744404696 -05834438741 05605574922
Concessions rentable sf Average Apt Unit Size -00003193903 09996806607 -003 00010135961 1389703034326 -03151061148 07531537379
Concessions rentable sf Age 00130223218 10131074815 131 00115086772 139464867267 11315220311 02597773256
Concessions rentable sf Building Mix (0=multifamily 1 = mixed-use)[Mixed] -03719888249 06893619462 -3106 02129597676 1426034459287 -17467563435 00828326573
Page 30: AUGUST 21- 23, 2018 • CLEVELAND, OHIO€¦ · Business Case 2.0: New Research Around High Performing Buildings Thursday 23 rd, 2018 10:30am – 12:00pm

Financial Impacts of Green

Dependent Variable Per Square Foot Per Apartment Per PropertyTotal Rents Collected 247$ 2189$ 551683$ Subtotal Maintenance 020$ 178$ 44843$ Property Insurance 005$ 42$ 10601$ Total Expenses 112$ 990$ 249535$

Coefficients Standard Errors

Tables

Summary of Green Impacts

Summary Table

Discussion

bull Assume efficient operations will offset the higher rent

bull Philanthropic motivesbull Prestige motivesbull Green buildings tend to be newermore

likely to offer the more sought-after amenities and finishes

bull Tend to be in higher-income areaslikely have higher rents

Different motivations for paying higher rent may be in

play

Discussion

Higher Operating Expenses a Surprise

Does not align with much of the existing researchhellipbut no research on effects of green certification on total operating expenses within multifamily rental sector

Many of the certifications represented in this study focus on the design phase of the property vs the operations and maintenance phase

And although promotion of sustainability is on the rise in the multifamily housing sector staff may remain unfamiliar with the unique operations and maintenance of green

buildings

Final Thoughts

Apartment homes represent $13 trillion to the US economy and 5 million new rental households are expected by 2023 (National Multifamily Housing Council 2015)

Upfront capital constraints regulatory issues knowledge limitations and marketing concerns may diminish the attractiveness of multifamily rental green building

certification if not properly managed

Most studies focus on office sector andor strictly rents or property value

This study begins to look at the multifamily rental sector and offer a more comprehensive analysis

Further research is needed with larger datasets to understand effects of green certification on income statement components in the apartment industry as NOI

ultimately determines property market valueOptimism that this study can be the impetus for further research contributions on the

financial environmental and resident satisfaction impacts of green practices and certifications on the multifamily rental sector

Contact informationErin A Hopkinserinz1vtedu

Acknowledgementsbull Todd Feist Sustainability Program Manager at The Institute of

Real Estate Management (IREMreg) for his assistance with this research project

bull Yardi and IREMreg for the grant awarded to support this researchbull The two property management companies for sharing their data

BUILDING PERFORMANCE

UNLOCKINGVALUE

New DOE-driven Research Around High Performing Buildings

AUGUST 23 2018

ANDREW WHITEASSOCIATE MANAGERawhiteretechadvisorscom

2015-2016 bull Research design working group pilot study data lab

2017 bull Connect to Real Estate Research Institute (RERI) Literature review and gap analysis

2018 bull Research agenda request for proposals research project selection and execution

Context Setting ndash DOE Research EffortWhat are the impacts of energy efficiency and high-performance building

features on financial performance of commercial real estate

RERIrsquos mission is to encourage and reward research on real estate as an investment and as an asset class that is both academically rigorous and of value to the institutional real estate investment profession In addition RERI serves to provide a forum through which the real estate academic professional and regulatory communities can interact facilitating the exchange of insights amongst these stakeholders

RERI Overview

Sponsors

Build upon DOErsquos Review of Studies in the Market

bull Focus explicitly on peer-reviewed papers Gap analysis of existing research to

identifybull Questions that have already been

sufficiently provenbull Holes in existing body of research

Academic Inputbull Guidance on which studies to includebull Suggestions for how to conduct analysis

Literature Review Objectives

Literature Review Results

LEED

ENER

GY

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ENER

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AR

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Ener

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M

Ener

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(U

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Rent 20 18 1 2 2 2 1 1 1Rent concessions 1 1 1Sales price 9 11 1 1 1 1Assessed value 2 2Market value 1 2 1 2 1Occupancy 10 9 1Lease renewals 1 1 1Service charge 1Operating cost 2 3Energy cost 2 3Tenant satisfaction 1 1 1Sales time 1 1Default rate 2 1Capitalization rate 1 2 2 1Net operating income 1 1 1Loan to value ratio 1 1Debt service coverage ratio 1 1Worker productivity 1 1Other 5 4 1 4 2 2

There is considerable evidence that green building certifications correlate with increased economic value primarily via higher rents and sales prices

bull How do we move beyond certification to analyze performancebull Correlation vs Causation

bull What is driving added value Is it green features and efficiency the green labels themselves or other desirable features often included in certified buildings

Panel studies could help reduce some of the uncertainty and noise Full results presented at ACEEE Summer Study

bull Raising the Rent Premium Moving Green Building Research Beyond Certifications and Rent

bull Cindy Zhu Andrew White Paul Mathew Jeff Deason Philip Coleman

Literature Review Results

Research Agenda Core QuestionldquoHow does ltenergygreen metricgt affect ltfinancial value metricgtrdquo

EnergyGreen Metric

Site energy use or EUI

Source energy use or EUI

Energy cost or costsf

ENERGY STAR score

ENERGY STAR label

Green Building Certification (LEED BOMA 360)

Green Building Certification level (eg LEED Silver Gold)

Financial Value Metric

VacancyOccupancy Sales Price

Leasing Velocity (absorption speed of sales leasing)

Regulatory amp Compliance Risk

Tenant Renewals Insurance (rates ability)

Tenant Satisfaction Default Risk

Rental Income and Rent Concessions Debt Service Coverage Ratio

Marketing Costs Access to Funding

Utility Costs Maintenance OpEx Interest Rates

Obsolescence Reserves

Capitalization Rates

12 proposals received 5 projects selected Criteria

bull Department of Energy goals

bull Impact on Commercial Real Estate (CRE) Industry

bull Feasibility and Interest

bull Quality and Validity

Proposal Reviews

Jim Clayton Avis Devine (York University) and Rogier Holtermans(University of Guelph) Analyzing four types of energy

efficiency interventions on financial components that impact property-level NOI

bull How do interventions impact different aspects of building operations and their subsequent financial impact

Beyond Environmental Building Certification The Impact of Environmental Interventions on Commercial Real Estate Operations

Piet Eichholtz and Nils Kok (Maastricht University) and RogierHoltermans (University of Guelph) Three key questions

bull How is environmental building certification related to commercial building energy consumption

bull How does aging affect the energy consumption of the commercial building stock

bull To what extent do specific energy efficiency investments affect energy consumption in commercial real estate

The Dynamics of Energy Consumption in Commercial Real Estate

Sofia Dermisi Chris Lee and YoungjinChoe (University of Washington) Exploring the effect of disclosure

policies on office building marketability while assessing potential links between market performance of sustainable assets

bull Before and after the disclosure policies while considering market cycles

bull Before and after ENERGY STAR andor LEED certification

Markets included San Francisco Washington DC

Effect of Energy Benchmarking and Disclosure on Office Building Marketability

Dirk Brounen (Tilburg University) and Gianluca Marcato (Reading University) Analyzing the adoption of GRESB within the public real estate markets and

predicting a potential impact of GRESB scores on REIT returns

Sustainable Insights and Public Real Estate Performance GRESB Effects in REIT Markets

Constantine Kontokosta (New York University) Franz Fuerst(Cambridge University) Gary Pivo (University of Arizona) amp Jacob Sagi (UNC Chapel Hill) Utilizing NYC data to empirically model

bull the spread between the premium for labeled (energy efficient) buildings and the cost to retrofit an under-performing building to meet the same standard which will allow us to understand how much of the observed premium is attributable to energy efficiency and how much can be assigned to other perceived benefits (marketing construction quality etc)

bull the hurdle rate for energy retrofit investments using actual audit data and permitted renovation work

Estimating Office and Residential Building Energy Retrofit Hurdle Rates and Risk Arbitrage in Energy Efficiency Investments

Collecting data for continued Data Lab analysis Presenting Research findings

bull Interim research results ndash IPC Research Symposium (October)bull Greenbuild Session (November)bull RERI Research Conference (April)bull Final research results ndash Better Buildings Webinars Summit 2019 (TBA)

Work with DOE case study and data analysis opportunities abound

Next Steps

Paul Mathew

Lawrence Berkeley National Laboratorypamathewlblgov

Paulo Issler

University of California Berkeleypauloisslerberkeleyedu

Erin Hopkins

Virginia Techerinz1vtedu

Andrew White

RE Tech Advisorsawhiteretechadvisorscom

Contact Info

  • Slide Number 1
  • Business Case 20 New Research Around High Performing Buildings
  • Panelists
  • Energy and Default Risk in Commercial Mortgages
  • Paulo Issler
  • Acknowledgements
  • The link between energy and CRE mortgages
  • Approach Impact of energy on default rate
  • Default risk and source EUI (cont)
  • Default risk and source EUI
  • Default risk and source EUI (cont)
  • Default risk and source EUI (cont)
  • What are the impacts on specific loans
  • Case Studies
  • Denver Office ndash energy use and default risk
  • Denver Office ndash energy price and default risk
  • Case Studies ndash summary of risks impacts
  • Case Studies ndash business impact
  • Looking Ahead
  • Looking Ahead ndash our vision
  • Recommendations
  • Slide Number 22
  • Money Matters Exploring the Financial Impacts of Green Certifications in the Multifamily Rental SectorErin A Hopkins PhD CAPS LEED Green AssociateAssistant Professor of Property Management
  • Overview of Research
  • Certifications Represented in Sample
  • Properties by City
  • Descriptive
  • Descriptive
  • Findings
  • Financial Impacts of Green
  • Discussion
  • Discussion
  • Final Thoughts
  • Slide Number 34
  • Slide Number 35
  • Context Setting ndash DOE Research Effort
  • RERI Overview
  • Literature Review Objectives
  • Literature Review Results
  • Literature Review Results
  • Research Agenda Core Question
  • Proposal Reviews
  • Beyond Environmental Building Certification The Impact of Environmental Interventions on Commercial Real Estate Operations
  • The Dynamics of Energy Consumption in Commercial Real Estate
  • Effect of Energy Benchmarking and Disclosure on Office Building Marketability
  • Sustainable Insights and Public Real Estate Performance GRESB Effects in REIT Markets
  • Estimating Office and Residential Building Energy Retrofit Hurdle Rates and Risk Arbitrage in Energy Efficiency Investments
  • Next Steps
  • Contact Info
Y Term ~Bias Estimate EXP estimate Practical Interpretation increasedecrease Std Error DFDen t Ratio Probgt|t| Log(Vacancies amp Rent Loss rentable sf) Log(Total Rents Collected rentable sf) Log(Total Actual Collections rentable sf) Log(Management Fee rentable sf) Log(Total Utilities Rentable sf) Log(MampR rentable sf) Log(Subtotal Maintenance rentable sf) Log(Property Insurance rentable sf) Log(Total All Expenses Rentable sf) Log(NOI Rentable sf) Concessions rentable sf
Log(Vacancies amp Rent Loss rentable sf) Intercept 00893029328 10934118365 934 06116337119 1083785495375 01460072116 08841869197 Green Certified (1=yes 0=no)[Yes] -00318 01047 00991
Log(Vacancies amp Rent Loss rentable sf) Green Certified (1=yes 0=no)[Yes] -0031825668 09686754385 -313 009164153 139931853592 -03472843369 07288994904 Gym (1=yes 0=no)[Yes] 01060 00708 00767
Log(Vacancies amp Rent Loss rentable sf) Gym (1=yes 0=no)[Yes] 01007730854 11060256399 1060 01479591517 1412043780621 0681087207 0496931725 Pool (1=yes 0=no)[Yes] 01126 00089 00131
Log(Vacancies amp Rent Loss rentable sf) Pool (1=yes 0=no)[Yes] 01125884395 11191712315 1192 0113345701 506840641957 09933190097 032527325 Outdoor Common Area (1=yes 0=no)[Yes] 02673 -00803 -00764
Log(Vacancies amp Rent Loss rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 02672618233 13063824429 3064 01690835398 1429144230275 15806495624 01161688791 Walk Score 00102 00065 00066
Log(Vacancies amp Rent Loss rentable sf) Walk Score 00101642302 10102160615 102 00040763935 1219632686439 24934369735 00139912712 of Unfurnished Apartments -00003 -00009 -00008
Log(Vacancies amp Rent Loss rentable sf) of Unfurnished Apartments -0000250981 09997490505 -003 00006011213 142449410245 -04175214322 06769256723 Average Apt Unit Size -00003 -00002 -00002
Log(Vacancies amp Rent Loss rentable sf) Average Apt Unit Size -00002575258 09997425074 -003 00004990119 1315989429881 -05160713681 06066705884 Age -00026 00008 00015
Log(Vacancies amp Rent Loss rentable sf) Age -00026152008 09973882158 -026 00056263988 1391583522195 -04648090107 06427946925 Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00099 00043 00252
Log(Vacancies amp Rent Loss rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00099001013 10099492694 099 0100821633 1384002310718 00981942166 09219201454
Log(Total Rents Collected rentable sf) Intercept 30195696974 204824761253 194825 04164909532 1420770663705 72500246992 0
Log(Total Rents Collected rentable sf) Green Certified (1=yes 0=no)[Yes] 00996165255 11047471944 1047
Hopkins Erin Hopkins Erincant provide a confidencd interval for it
00590542761 1286416575023 16868638818 0094053065
Log(Total Rents Collected rentable sf) Gym (1=yes 0=no)[Yes] 00684081888 10708023088 708 0096210834 1330244953516 07110237581 04783143732
Log(Total Rents Collected rentable sf) Pool (1=yes 0=no)[Yes] 00088712036 10089106694 089 00916333982 708572236354 00968119025 09231490817
Log(Total Rents Collected rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00836597449 09197441505 -803 01126005752 1404546011941 -07429779537 04587359136
Log(Total Rents Collected rentable sf) Walk Score 0006479206 10065002414 065 0002794287 1413201347208 23187331419 00218436949
Log(Total Rents Collected rentable sf) of Unfurnished Apartments -00008678845 0999132492 -009 00003932429 1359586026848 -22069932213 00289920945
Log(Total Rents Collected rentable sf) Average Apt Unit Size -00002078918 09997921298 -002 00003300088 1382568544162 -06299582685 05297616269
Log(Total Rents Collected rentable sf) Age 00008364704 10008368204 008 00037477419 1387794745176 02231931757 08237133506
Log(Total Rents Collected rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00042999624 10043092206 043 0069466499 142786243042 00618998008 09507291881
Log(Total Actual Collections rentable sf) Intercept 30681072891 215011686418 205012 04070110501 1415072794017 75381424868 0
Log(Total Actual Collections rentable sf) Green Certified (1=yes 0=no)[Yes] 00944491888 10990533175 991 00578900924 1291837028308 16315259643 01052148631
Log(Total Actual Collections rentable sf) Gym (1=yes 0=no)[Yes] 00739127176 10767128233 767 0094247393 1335821297113 07842415071 04342868782
Log(Total Actual Collections rentable sf) Pool (1=yes 0=no)[Yes] 00130418887 10131273051 131 00885804441 654593026021 01472321442 08834013324
Log(Total Actual Collections rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00794248992 0923647384 -764 01101507414 1410305976559 -07210564195 04720684016
Log(Total Actual Collections rentable sf) Walk Score 00065530115 10065745295 066 00027272037 14047408887 24028316857 00175745575
Log(Total Actual Collections rentable sf) of Unfurnished Apartments -0000833078 09991672689 -008 00003850262 1365168778586 -21636916411 00322285543
Log(Total Actual Collections rentable sf) Average Apt Unit Size -00002169447 09997830788 -002 00003233576 1393662972101 -06709126047 05033865944
Log(Total Actual Collections rentable sf) Age 00015178151 10015189676 015 0003670824 1398532082324 04134807595 06798877496
Log(Total Actual Collections rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00249154485 10252284322 252 0067842812 1423468871242 03672525904 07139760316
Log(Management Fee rentable sf) Intercept -02128803278 08082528568 -1917 04254329778 585619088893 -0500385111 06186792644
Log(Management Fee rentable sf) Green Certified (1=yes 0=no)[Yes] 0019865513 10200641454 201 00593086525 1354977267554 03349513461 07381797603
Log(Management Fee rentable sf) Gym (1=yes 0=no)[Yes] -00082052627 09918283086 -082 00958032958 1386068833723 -00856469772 09318706455
Log(Management Fee rentable sf) Pool (1=yes 0=no)[Yes] 00174275629 10175803089 176 00771880661 202180965349 02257805358 08236388274
Log(Management Fee rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00153191452 10154370848 154 01103651216 1423896402644 01388042255 08898009734
Log(Management Fee rentable sf) Walk Score 00070459229 10070708039 071 00028008303 805559990921 25156550566 0013868745
Log(Management Fee rentable sf) of Unfurnished Apartments -0001358177 09986427449 -014 00003916726 1421224837061 -34676335479 00006950146
Log(Management Fee rentable sf) Average Apt Unit Size -00005130214 09994871101 -005 00003375961 1007585612206 -15196307445 0131735624
Log(Management Fee rentable sf) Age 00013613923 10013623194 014 00037151697 1277713043957 03664414822 07146417588
Log(Management Fee rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -00674463479 09347778721 -652 00657081953 1299283630266 -10264525997 03065854809
Log(Total Utilities Rentable sf) Intercept -03748562337 06873880949 -3126 04464274077 1402143832266 -08396801522 04025171642
Log(Total Utilities Rentable sf) Green Certified (1=yes 0=no)[Yes] 00873163337 10912418217 912 0064576715 1358457024729 13521334071 01785794114
Log(Total Utilities Rentable sf) Gym (1=yes 0=no)[Yes] 01175979311 11247917766 1248 01048349264 1384172144229 11217438221 02639135776
Log(Total Utilities Rentable sf) Pool (1=yes 0=no)[Yes] 00115680134 10116351816 116 00928512423 72633370166 01245865221 09011950626
Log(Total Utilities Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00222539972 10225034645 225 01216524447 1425571484619 01829309493 0855112103
Log(Total Utilities Rentable sf) Walk Score 00068649233 10068885409 069 00029812807 1396033046894 23026759291 00227754146
Log(Total Utilities Rentable sf) of Unfurnished Apartments -00006773222 09993229071 -007 00004273761 1401067188346 -15848386198 01152575495
Log(Total Utilities Rentable sf) Average Apt Unit Size -00003442022 0999655857 -003 00003581401 1425120147852 -09610825805 03381384619
Log(Total Utilities Rentable sf) Age 00048795122 10048914364 049 00040600929 1425855030198 12018227897 02314244716
Log(Total Utilities Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -01198355423 08870663096 -1129 00742421382 1413320388001 -16141176043 01087323819
Log(MampR rentable sf) Intercept -09030689887 04053238148 -5947 0437858541 1384008312652 -20624674504 00410332652
Log(MampR rentable sf) Green Certified (1=yes 0=no)[Yes] 00937424436 10982768413 983 00639155521 1376081716673 14666609392 01447499128
Log(MampR rentable sf) Gym (1=yes 0=no)[Yes] 00037664885 10037735907 038 01036113865 1396450691334 00363520715 09710535435
Log(MampR rentable sf) Pool (1=yes 0=no)[Yes] 01319613595 11410642271 1411 00887446725 719561267791 14869778183 0141389644
Log(MampR rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00521515872 09491849716 -508 01197720975 1428478988157 -04354235112 06639122497
Log(MampR rentable sf) Walk Score 00110131704 10110740386 111 00029197236 1385662208531 37719907631 00002391344
Log(MampR rentable sf) of Unfurnished Apartments -00008849955 09991153959 -009 00004219429 1410140957414 -20974297602 0037740228
Log(MampR rentable sf) Average Apt Unit Size 00000594506 10000594524 001 0000353075 1429981472006 01683796031 08665225748
Log(MampR rentable sf) Age 0007624822 1007653965 077 00039990018 142990029884 19066812998 00585678315
Log(MampR rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00598131349 10616381449 616 00727173027 1406732379184 08225433659 04121598071
Log(Subtotal Maintenance rentable sf) Intercept -07997344997 04494482769 -5506 0489167182 1380935604874 -16348899298 01043496414
Log(Subtotal Maintenance rentable sf) Green Certified (1=yes 0=no)[Yes] 01180969773 11253532398 1254 00707986514 1348907221481 16680681771 00976219515
Log(Subtotal Maintenance rentable sf) Gym (1=yes 0=no)[Yes] 00409351965 10417845921 418 01148796072 1378640116803 03563312718 07221372278
Log(Subtotal Maintenance rentable sf) Pool (1=yes 0=no)[Yes] 01515780559 11636691295 1637 0100780712 617547240206 15040383505 01376688864
Log(Subtotal Maintenance rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -0078076377 09248937833 -751 01331885868 1426567369893 -05862092154 05586613077
Log(Subtotal Maintenance rentable sf) Walk Score 0011889233 10119601909 120 00032614069 1377504918879 36454307183 00003773801
Log(Subtotal Maintenance rentable sf) of Unfurnished Apartments -00008153416 09991849907 -008 00004682078 1398534995511 -17414095506 00838107083
Log(Subtotal Maintenance rentable sf) Average Apt Unit Size 00005083484 10005084776 005 00003930253 1428434249161 12934242295 01979520949
Log(Subtotal Maintenance rentable sf) Age 00104106727 10104650523 105 00044515054 1428449267664 23386858733 00207383998
Log(Subtotal Maintenance rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 02440298206 12763823925 2764 0081177414 1402563601749 30061295196 00031359748
Log(Property Insurance rentable sf) Intercept -08916874806 04099633635 -5900 04516384713 1429624291993 -19743390727 00502702101
Log(Property Insurance rentable sf) Green Certified (1=yes 0=no)[Yes] 01239058141 11319092561 1319 0062692592 1281678143933 19764027959 00502564371
Log(Property Insurance rentable sf) Gym (1=yes 0=no)[Yes] -0003522638 09964835593 -035 01024969537 1314939748594 -0034368221 09726356404
Log(Property Insurance rentable sf) Pool (1=yes 0=no)[Yes] 00227423743 10230029538 230 01040308572 1125700947624 02186118131 08273482928
Log(Property Insurance rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00155809876 10157030041 157 01206677853 1368483458399 01291230096 08974498986
Log(Property Insurance rentable sf) Walk Score 00072977866 10073244804 073 00030353828 1428602075435 24042392705 00174877086
Log(Property Insurance rentable sf) of Unfurnished Apartments -00010061941 09989943119 -010 0000420017 1337858380697 -23956034086 00179774093
Log(Property Insurance rentable sf) Average Apt Unit Size -00006330482 09993671521 -006 00003514502 1338864329416 -18012458048 0073914725
Log(Property Insurance rentable sf) Age 00009661099 10009665767 010 00039921418 1338497494964 02420028921 08091483095
Log(Property Insurance rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -00520208103 09493091112 -507 00749301111 1411273861679 -06942577501 04886618561
Log(Total All Expenses Rentable sf) Intercept 17410862845 57035357214 47035 03946731547 141889623796 44114636723 00000201648
Log(Total All Expenses Rentable sf) Green Certified (1=yes 0=no)[Yes] 01231722438 11310792255 1311 00565275641 1341244163534 21789766772 00310802733
Log(Total All Expenses Rentable sf) Gym (1=yes 0=no)[Yes] 00096244971 10096709615 097 00919378962 1370603130567 01046847658 09167789899
Log(Total All Expenses Rentable sf) Pool (1=yes 0=no)[Yes] 01610294116 11747195186 1747 00846545666 801516751987 19021940341 00607378863
Log(Total All Expenses Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00361842114 09644626121 -355 01071504659 1418739239709 -03376953252 07360919324
Log(Total All Expenses Rentable sf) Walk Score 00087371658 10087754463 088 00026426023 1411809488418 33062734678 00011989895
Log(Total All Expenses Rentable sf) of Unfurnished Apartments -00008720665 09991283137 -009 00003752966 1389800988186 -23236728617 00215934791
Log(Total All Expenses Rentable sf) Average Apt Unit Size -0000155413 0999844599 -002 00003145108 1409449329598 -0494142052 06219751067
Log(Total All Expenses Rentable sf) Age 00015666155 10015678433 016 00035695206 1412387206124 04388868073 06614142124
Log(Total All Expenses Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00157918953 10159172462 159 00657593447 1424551160559 02401467861 08105616925
Log(NOI Rentable sf) Intercept 27416093787 155119295878 145119 049686036 1426328429735 55178669889 0000000157
Log(NOI Rentable sf) Green Certified (1=yes 0=no)[Yes] 00932241108 10977077159 977 00701671113 1292740226257 13286012361 01863200879
Log(NOI Rentable sf) Gym (1=yes 0=no)[Yes] 0111280688 11177085902 1177 0114413579 13320261997 09726178396 03325061802
Log(NOI Rentable sf) Pool (1=yes 0=no)[Yes] -00608871507 0940929417 -591 01107002034 838263437204 -05500184174 05837693269
Log(NOI Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -01393113526 08699571229 -1300 01340931949 1397855428856 -10389144106 03006382455
Log(NOI Rentable sf) Walk Score 00045000262 10045101666 045 0003337636 1423581725818 13482675372 01797136327
Log(NOI Rentable sf) of Unfurnished Apartments -00007116645 09992885887 -007 00004679272 1358400867851 -15208872073 01306124688
Log(NOI Rentable sf) Average Apt Unit Size -00001937801 09998062387 -002 00003921685 1372175013367 -04941245389 06220083144
Log(NOI Rentable sf) Age 00034607088 1003466704 035 00044548378 1376438770548 07768428318 04385844885
Log(NOI Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00488697769 10500835966 501 00828565286 1429949688826 05898120243 0556247504
Concessions rentable sf Intercept 0091580439 10959049266 959 12772069558 1418541020247 00717036801 09429387231
Concessions rentable sf Green Certified (1=yes 0=no)[Yes] 01110697527 11174728508 1175 01814813765 1293641668833 06120173584 05416004511
Concessions rentable sf Gym (1=yes 0=no)[Yes] -05094051331 06008529 -3991 02955403985 1336296409402 -17236395961 00870857294
Concessions rentable sf Pool (1=yes 0=no)[Yes] -00886152984 09151975838 -848 02791864929 69298361986 -03174053928 07518903943
Concessions rentable sf Outdoor Common Area (1=yes 0=no)[Yes] 04576291372 15803228114 5803 03455726285 1408379747117 13242632646 01875606951
Concessions rentable sf Walk Score 00120688741 10121419968 121 00085630896 1409791646097 14094064916 01609170757
Concessions rentable sf of Unfurnished Apartments -00007045588 09992956894 -007 00012075862 1364744404696 -05834438741 05605574922
Concessions rentable sf Average Apt Unit Size -00003193903 09996806607 -003 00010135961 1389703034326 -03151061148 07531537379
Concessions rentable sf Age 00130223218 10131074815 131 00115086772 139464867267 11315220311 02597773256
Concessions rentable sf Building Mix (0=multifamily 1 = mixed-use)[Mixed] -03719888249 06893619462 -3106 02129597676 1426034459287 -17467563435 00828326573
Y Term Practical Interpretation increasedecrease Probgt|t| Total Rents Collected Subtotal Maintenance Property Insurance Total Expenses
Log(Total Rents Collected rentable sf) Green Certified (1=yes 0=no)[Yes] 1047
Hopkins Erin Hopkins Erincant provide a confidencd interval for it
009 130837635934 13311489362 01847683215 67633617021
Log(Subtotal Maintenance rentable sf) Green Certified (1=yes 0=no)[Yes] 1254 010 267662568114 08839769656 0489370035 133484365708
Log(Property Insurance rentable sf) Green Certified (1=yes 0=no)[Yes] 1319 005 44887430941 07758149459 02417429373 41261056301
Log(Total All Expenses Rentable sf) Green Certified (1=yes 0=no)[Yes] 1311 003 103066299601 12390720963 00474343371 5067818194
206907297628 2385711159 02072356932 9194606526
318766961061 22633758919 04452208547 128154919371
92461669878 09545425866 01280485733 38832017239
143925847783 15966970999 02187893202 54018796992
176714125561 02006495648 02876780533 58992020575
232897515382 0726170332 00787094673 69517596041
Non-green sf average Financial Green Impact sf Financial green impact differencesf Green impactapt Green impactproperty 51780910259 05203453537 00494304264 22609306646
178353784788 17547710996 02048626598 95961490345
Total Rents Collected sf 1047 2356 2603 $ 247 $ 2189 $ 551683 113769814112 12206875575 03432049607 118156743193
Subtotal Maintenance sf 1254 160 180 $ 020 $ 178 $ 44843 301239240258 10561596849 0204970258 110903994641
Property Insurance sf 1319 036 041 $ 005 $ 42 $ 10601 918584487 08376649832 00914663991 4146546939
Total Expenses sf 1311 852 963 $ 112 $ 990 $ 249535 265183769576 19294929362 03500602344 108447158033
226055903548 13557897255 03988791741 10971207244
334894587007 17970717884 05122599181 124640467569
5542518821 31394328066 04875650977 200668786372
112655732059 13445692884 02031297086 43995867235
129139526152 1168069688 00518980213 4651511283
Avg Apt Size Avg of Units 151098478261 13975 02004130435 51873478261
192155046737 21015937064 02616549091 8357602264
887 252 514840434082 52766375656 02375463267 174375582672
81421971535 06694487849 00899424521 2748686222
30246817244 21594341279 03308639536 97277207077
488523197409 27727612187 0646599696 130752346177
318750561687 38903340576 03852711795 142409683793
310384048163 43119745565 03335824966 138846874251
Green Certification Impacts 48578215663 0350218077 03095574205 23695139998
Dependent Variable Per Square Foot Per Apartment Per Property 192237574111 13374121765 02053242615 84027476689
Total Rents Collected $ 247 $ 2189 $ 551683 62979912788 05343191729 00816289996 45390243161
Subtotal Maintenance $ 020 $ 178 $ 44843 148378959661 14651715909 02004049722 80900580942
Property Insurance $ 005 $ 42 $ 10601 196798863889 11267176542 02499920663 90266351433
Total Expenses $ 112 $ 990 $ 249535 281508617823 09686995581 01118170881 119863342059
58584849751 0106864586 04187933949 44180073736
126756167712 1265684516 02796423029 87538414144
176550549412 24957340254 02343899179 88904473415
252421786235 28063734042 03142238564 133776179357
191875932907 13637043757 03440324697 987034902
159508092934 13109374847 02091697013 98967206196
342739845467 09614092295 03929892961 129755936769
192510355167 32804720611 01743191858 134560085596
257829360401 13666691797 01527100011 56329812754
358622391559 14251973427 03437553732 101098436889
217744157919 24046486586 01864745418 68711016642
222112557003 22022148788 07879755849 97807110765
202535763689 04548110217 10003436751 127886698915
155879815194 23816051158 04816227091 119033557201
11066078843 23413202706 06413902496 81812176347
151924709838 18873401649 05711000232 105403544539
163604010853 16052949068 02714509557 82030431823
133974400047 11018949984 03560839935 59096477943
133528448829 13647819036 02538331588 66159357367
187400008959 16889788117 030870974 115752907975
155246293804 18308314258 03852380906 116657595614
34082816218 05447090935 09838411173 13641308574
201220131342 11192465065 03188344246 93786154242
139108532616 13313944086 03887737775 69698295902
191656858207 15717927807 06002115982 119380046581
200921599083 12597596226 03267106334 82474085087
57536742874 00453219212 00300766262 10569757217
120548294116 11607892527 03275736725 74435143659
123188534664 1404028789 03510968138 78762080781
59543029729 0899713372 01652374748 28143456117
144215639215 19193238703 02899837711 67370054173
340046684831 19619729415 04325060698 120608464163
208244777176 28183367899 037 73104355304
234349752613 19432301154 0351134881 107484594815
136370903402 17029933791 01989576534 50899930579
149968383478 14209793679 02735642323 63813718869
81145819519 0920766851 00474564037 30674168785
226307446224 12529424404 02036192613 69235920453
132787305462 08047482453 01232346659 41808605432
251519090044 21798380428 0376480317 80396623551
492269138212 12196979039 02981674812 128316943664
107177195916 08016374211 0113808252 40618650625
128238528886 10751217142 01843492552 6476830365
57582611557 11908427448 0874334536 134004066235
43835651097 34822540694 03904989384 146763800425
205787355386 1429219053 02624404931 5321754079
463148430769 07709353846 06150738462 101617384615
377949548611 28670972222 08296944444 109743576389
360087564176 03501711352 18551055334 110041072447
18371979614 18232783153 07267294459 61184870906
678035276363 13443501226 10431616676 167533484248
56073359244 10138647576 01591318768 51440832304
189431314891 05101557395 03677787459 41010945328
383550342095 23244425576 04086557393 98151764619
115544349685 03310482653 037 40344851625
7552318246 0955023726 01241945851 24368780848
133083101881 19451300341 00938801919 48731378614
122308363087 13760780005 01439989014 45100624828
84908269322 10857071617 01155797799 36082570734
263116048067 10733627163 041902582 60372732395
76183752731 09621126305 01069925907 26170373239
172494454001 11781600332 03919686814 59016193131
342076422068 22741368431 03165622465 73557085549
215534567901 1485497076 02210396361 49118778428
314593058927 23798916958 02751353803 121998559501
586535191691 21029046354 02109026171 91979074439
138093310078 14595490221 02142269839 44286283792
227203645682 04584630891 05737147639 93344680527
572754455737 17713614269 01642228739 92545561671
60603870458 04541110154 01180884676 15902125521
358781017266 33847643857 06854022643 139200146946
342079216629 24477703832 0463059603 67166143833
651201231187 51019950176 12529595849 222094150831
369798669702 21700816928 0444474205 101410502507
421838575952 28823013788 05443272608 151399739597
626095189209 20826275416 04947814184 184651096472
214882899762 25034709712 06359683889 109534721722
274037120739 26718517094 037 67504928595
252667703737 25588590114 05379535858 109041874345
59253832495 01099622961 04620367393 19262874847
150862851538 18053109961 07398729558 71488607075
111196959019 00928417366 037 09427894164
667360269858 07921160191 02989609494 104670639024
2356 160 036 852
Log(Vacancies amp Rent Loss rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified -00318 00916 -00313 07289
Fitness Center 01008 01480 01060 04969
Pool 01126 01133 01192 03253
Outdoor Common Area 02673 01691 03064 01162
Walk Score 00102 00041 00102 00140
of Unfurnished Apartments -00003 00006 -00003 06769
Average Apt Unit Size -00003 00005 -00003 06067
Age -00026 00056 -00026 06428
Building Mix 00099 01008 00099 09219
Note R2 = 645
Log(Total Rents Collected rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00996 00591 01047 00941
Fitness Center 00684 00962 00708 04783
Pool 00089 00916 00089 09231
Outdoor Common Area -00837 01126 -00803 04587
Walk Score 00065 00028 00065 00218
of Unfurnished Apartments -00009 00004 -00009 00290
Average Apt Unit Size -00002 00003 -00002 05298
Age 00008 00037 00008 08237
Building Mix 00043 00695 00043 09507
Note R2 = 3318
Log(Total Actual Collections rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00944 00579 00991 01052
Fitness Center 00739 00942 00767 04343
Pool 00130 00886 00131 08834
Outdoor Common Area -00794 01102 -00764 04721
Walk Score 00066 00027 00066 00176
of Unfurnished Apartments -00008 00004 -00008 00322
Average Apt Unit Size -00002 00003 -00002 05034
Age 00015 00037 00015 06799
Building Mix 00249 00678 00252 07140
Note R2 = 3219
Log(Management Fee rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00199 00593 00201 07382
Fitness Center -00082 00958 -00082 09319
Pool 00174 00772 00176 08236
Outdoor Common Area 00153 01104 00154 08898
Walk Score 00070 00028 00071 00139
of Unfurnished Apartments -00014 00004 -00014 00007
Average Apt Unit Size -00005 00003 -00005 01317
Age 00014 00037 00014 07146
Building Mix -00674 00657 -00652 03066
Note R2 = 1697
Log(Total Utilities Rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00873 00646 00912 01786
Fitness Center 01176 01048 01248 02639
Pool 00116 00929 00116 09012
Outdoor Common Area 00223 01217 00225 08551
Walk Score 00069 00030 00069 00228
of Unfurnished Apartments -00007 00004 -00007 01153
Average Apt Unit Size -00003 00004 -00003 03381
Age 00049 00041 00049 02314
Building Mix -01198 00742 -01129 01087
Note R2 = 2171
Log(MampR rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00937 00639 00983 01447
Fitness Center 00038 01036 00038 09711
Pool 01320 00887 01411 01414
Outdoor Common Area -00522 01198 -00508 06639
Walk Score 00110 00029 00111 00002
of Unfurnished Apartments -00009 00004 -00009 00377
Average Apt Unit Size 00001 00004 00001 08665
Age 00076 00040 00077 00586
Building Mix 00598 00727 00616 04122
Note R2 = 2620
Log(Subtotal Maintenance rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 01181 00708 01254 00976
Fitness Center 00409 01149 00418 07221
Pool 01516 01008 01637 01377
Outdoor Common Area -00781 01332 -00751 05587
Walk Score 00119 00033 00120 00004
of Unfurnished Apartments -00008 00005 -00008 00838
Average Apt Unit Size 00005 00004 00005 01980
Age 00104 00045 00105 00207
Building Mix 02440 00812 02764 00031
Note R2 = 3218
Log(Property Insurance rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 01239 00627 01319 00503
Fitness Center -00035 01025 -00035 09726
Pool 00227 01040 00230 08273
Outdoor Common Area 00156 01207 00157 08974
Walk Score 00073 00030 00073 00175
of Unfurnished Apartments -00010 00004 -00010 00180
Average Apt Unit Size -00006 00004 -00006 00739
Age 00010 00040 00010 08091
Building Mix -00520 00749 -00507 04887
Note R2 = 3902
Log(Total All Expenses Rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 01232 00565 01311 00311
Fitness Center 00096 00919 00097 09168
Pool 01610 00847 01747 00607
Outdoor Common Area -00362 01072 -00355 07361
Walk Score 00087 00026 00088 00012
of Unfurnished Apartments -00009 00004 -00009 00216
Average Apt Unit Size -00002 00003 -00002 06220
Age 00016 00036 00016 06614
Building Mix 00158 00658 00159 08106
Note R2 = 2943
Log(NOI Rentable sf)
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 00932 00702 00977 01863
Fitness Center 01113 01144 01177 03325
Pool -00609 01107 -00591 05838
Outdoor Common Area -01393 01341 -01300 03006
Walk Score 00045 00033 00045 01797
of Unfurnished Apartments -00007 00005 -00007 01306
Average Apt Unit Size -00002 00004 -00002 06220
Age 00035 00045 00035 04386
Building Mix 00489 00829 00501 05562
Note R2 = 3669
Concessions rentable sf
Independent Variable Estimate Std Error Practical Interpretation Probgt|t|
Green Certified 01111 01815 01175 05416
Fitness Center -05094 02955 -03991 00871
Pool -00886 02792 -00848 07519
Outdoor Common Area 04576 03456 05803 01876
Walk Score 00121 00086 00121 01609
of Unfurnished Apartments -00007 00012 -00007 05606
Average Apt Unit Size -00003 00010 -00003 07532
Age 00130 00115 00131 02598
Building Mix -03720 02130 -03106 00828
Note R2 = 2402
Y Term ~Bias Estimate EXP estimate Practical Interpretation increasedecrease Std Error DFDen t Ratio Probgt|t| Estimate Std Error Practical Interpretation Significance
Log(Vacancies amp Rent Loss rentable sf) Intercept 00893029328 10934118365 934 06116337119 1083785495375 01460072116 08841869197 Green Cert
Log(Vacancies amp Rent Loss rentable sf) Green Certified (1=yes 0=no)[Yes] -0031825668 09686754385 -313 009164153 139931853592 -03472843369 07288994904 Gym
Log(Vacancies amp Rent Loss rentable sf) Gym (1=yes 0=no)[Yes] 01007730854 11060256399 1060 01479591517 1412043780621 0681087207 0496931725
Log(Vacancies amp Rent Loss rentable sf) Pool (1=yes 0=no)[Yes] 01125884395 11191712315 1192 0113345701 506840641957 09933190097 032527325
Log(Vacancies amp Rent Loss rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 02672618233 13063824429 3064 01690835398 1429144230275 15806495624 01161688791
Log(Vacancies amp Rent Loss rentable sf) Walk Score 00101642302 10102160615 102 00040763935 1219632686439 24934369735 00139912712
Log(Vacancies amp Rent Loss rentable sf) of Unfurnished Apartments -0000250981 09997490505 -003 00006011213 142449410245 -04175214322 06769256723
Log(Vacancies amp Rent Loss rentable sf) Average Apt Unit Size -00002575258 09997425074 -003 00004990119 1315989429881 -05160713681 06066705884
Log(Vacancies amp Rent Loss rentable sf) Age -00026152008 09973882158 -026 00056263988 1391583522195 -04648090107 06427946925
Log(Vacancies amp Rent Loss rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00099001013 10099492694 099 0100821633 1384002310718 00981942166 09219201454
Log(Total Rents Collected rentable sf) Intercept 30195696974 204824761253 194825 04164909532 1420770663705 72500246992 0
Log(Total Rents Collected rentable sf) Green Certified (1=yes 0=no)[Yes] 00996165255 11047471944 1047
Hopkins Erin Hopkins Erincant provide a confidencd interval for it
00590542761 1286416575023 16868638818 0094053065 0099617 00590542761 1047
Log(Total Rents Collected rentable sf) Gym (1=yes 0=no)[Yes] 00684081888 10708023088 708 0096210834 1330244953516 07110237581 04783143732
Log(Total Rents Collected rentable sf) Pool (1=yes 0=no)[Yes] 00088712036 10089106694 089 00916333982 708572236354 00968119025 09231490817
Log(Total Rents Collected rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00836597449 09197441505 -803 01126005752 1404546011941 -07429779537 04587359136
Log(Total Rents Collected rentable sf) Walk Score 0006479206 10065002414 065 0002794287 1413201347208 23187331419 00218436949
Log(Total Rents Collected rentable sf) of Unfurnished Apartments -00008678845 0999132492 -009 00003932429 1359586026848 -22069932213 00289920945 variance components to talk about how much of the total error that is attribuatle to city
Log(Total Rents Collected rentable sf) Average Apt Unit Size -00002078918 09997921298 -002 00003300088 1382568544162 -06299582685 05297616269
Log(Total Rents Collected rentable sf) Age 00008364704 10008368204 008 00037477419 1387794745176 02231931757 08237133506
Log(Total Rents Collected rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00042999624 10043092206 043 0069466499 142786243042 00618998008 09507291881
Log(Total Actual Collections rentable sf) Intercept 30681072891 215011686418 205012 04070110501 1415072794017 75381424868 0
Log(Total Actual Collections rentable sf) Green Certified (1=yes 0=no)[Yes] 00944491888 10990533175 991 00578900924 1291837028308 16315259643 01052148631
Log(Total Actual Collections rentable sf) Gym (1=yes 0=no)[Yes] 00739127176 10767128233 767 0094247393 1335821297113 07842415071 04342868782
Log(Total Actual Collections rentable sf) Pool (1=yes 0=no)[Yes] 00130418887 10131273051 131 00885804441 654593026021 01472321442 08834013324
Log(Total Actual Collections rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00794248992 0923647384 -764 01101507414 1410305976559 -07210564195 04720684016
Log(Total Actual Collections rentable sf) Walk Score 00065530115 10065745295 066 00027272037 14047408887 24028316857 00175745575
Log(Total Actual Collections rentable sf) of Unfurnished Apartments -0000833078 09991672689 -008 00003850262 1365168778586 -21636916411 00322285543
Log(Total Actual Collections rentable sf) Average Apt Unit Size -00002169447 09997830788 -002 00003233576 1393662972101 -06709126047 05033865944
Log(Total Actual Collections rentable sf) Age 00015178151 10015189676 015 0003670824 1398532082324 04134807595 06798877496
Log(Total Actual Collections rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00249154485 10252284322 252 0067842812 1423468871242 03672525904 07139760316
Log(Management Fee rentable sf) Intercept -02128803278 08082528568 -1917 04254329778 585619088893 -0500385111 06186792644
Log(Management Fee rentable sf) Green Certified (1=yes 0=no)[Yes] 0019865513 10200641454 201 00593086525 1354977267554 03349513461 07381797603
Log(Management Fee rentable sf) Gym (1=yes 0=no)[Yes] -00082052627 09918283086 -082 00958032958 1386068833723 -00856469772 09318706455
Log(Management Fee rentable sf) Pool (1=yes 0=no)[Yes] 00174275629 10175803089 176 00771880661 202180965349 02257805358 08236388274
Log(Management Fee rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00153191452 10154370848 154 01103651216 1423896402644 01388042255 08898009734
Log(Management Fee rentable sf) Walk Score 00070459229 10070708039 071 00028008303 805559990921 25156550566 0013868745
Log(Management Fee rentable sf) of Unfurnished Apartments -0001358177 09986427449 -014 00003916726 1421224837061 -34676335479 00006950146
Log(Management Fee rentable sf) Average Apt Unit Size -00005130214 09994871101 -005 00003375961 1007585612206 -15196307445 0131735624
Log(Management Fee rentable sf) Age 00013613923 10013623194 014 00037151697 1277713043957 03664414822 07146417588
Log(Management Fee rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -00674463479 09347778721 -652 00657081953 1299283630266 -10264525997 03065854809
Log(Total Utilities Rentable sf) Intercept -03748562337 06873880949 -3126 04464274077 1402143832266 -08396801522 04025171642
Log(Total Utilities Rentable sf) Green Certified (1=yes 0=no)[Yes] 00873163337 10912418217 912 0064576715 1358457024729 13521334071 01785794114
Log(Total Utilities Rentable sf) Gym (1=yes 0=no)[Yes] 01175979311 11247917766 1248 01048349264 1384172144229 11217438221 02639135776
Log(Total Utilities Rentable sf) Pool (1=yes 0=no)[Yes] 00115680134 10116351816 116 00928512423 72633370166 01245865221 09011950626
Log(Total Utilities Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00222539972 10225034645 225 01216524447 1425571484619 01829309493 0855112103
Log(Total Utilities Rentable sf) Walk Score 00068649233 10068885409 069 00029812807 1396033046894 23026759291 00227754146
Log(Total Utilities Rentable sf) of Unfurnished Apartments -00006773222 09993229071 -007 00004273761 1401067188346 -15848386198 01152575495
Log(Total Utilities Rentable sf) Average Apt Unit Size -00003442022 0999655857 -003 00003581401 1425120147852 -09610825805 03381384619
Log(Total Utilities Rentable sf) Age 00048795122 10048914364 049 00040600929 1425855030198 12018227897 02314244716
Log(Total Utilities Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -01198355423 08870663096 -1129 00742421382 1413320388001 -16141176043 01087323819
Log(MampR rentable sf) Intercept -09030689887 04053238148 -5947 0437858541 1384008312652 -20624674504 00410332652
Log(MampR rentable sf) Green Certified (1=yes 0=no)[Yes] 00937424436 10982768413 983 00639155521 1376081716673 14666609392 01447499128
Log(MampR rentable sf) Gym (1=yes 0=no)[Yes] 00037664885 10037735907 038 01036113865 1396450691334 00363520715 09710535435
Log(MampR rentable sf) Pool (1=yes 0=no)[Yes] 01319613595 11410642271 1411 00887446725 719561267791 14869778183 0141389644
Log(MampR rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00521515872 09491849716 -508 01197720975 1428478988157 -04354235112 06639122497
Log(MampR rentable sf) Walk Score 00110131704 10110740386 111 00029197236 1385662208531 37719907631 00002391344
Log(MampR rentable sf) of Unfurnished Apartments -00008849955 09991153959 -009 00004219429 1410140957414 -20974297602 0037740228
Log(MampR rentable sf) Average Apt Unit Size 00000594506 10000594524 001 0000353075 1429981472006 01683796031 08665225748
Log(MampR rentable sf) Age 0007624822 1007653965 077 00039990018 142990029884 19066812998 00585678315
Log(MampR rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00598131349 10616381449 616 00727173027 1406732379184 08225433659 04121598071
Log(Subtotal Maintenance rentable sf) Intercept -07997344997 04494482769 -5506 0489167182 1380935604874 -16348899298 01043496414
Log(Subtotal Maintenance rentable sf) Green Certified (1=yes 0=no)[Yes] 01180969773 11253532398 1254 00707986514 1348907221481 16680681771 00976219515
Log(Subtotal Maintenance rentable sf) Gym (1=yes 0=no)[Yes] 00409351965 10417845921 418 01148796072 1378640116803 03563312718 07221372278
Log(Subtotal Maintenance rentable sf) Pool (1=yes 0=no)[Yes] 01515780559 11636691295 1637 0100780712 617547240206 15040383505 01376688864
Log(Subtotal Maintenance rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -0078076377 09248937833 -751 01331885868 1426567369893 -05862092154 05586613077
Log(Subtotal Maintenance rentable sf) Walk Score 0011889233 10119601909 120 00032614069 1377504918879 36454307183 00003773801
Log(Subtotal Maintenance rentable sf) of Unfurnished Apartments -00008153416 09991849907 -008 00004682078 1398534995511 -17414095506 00838107083
Log(Subtotal Maintenance rentable sf) Average Apt Unit Size 00005083484 10005084776 005 00003930253 1428434249161 12934242295 01979520949
Log(Subtotal Maintenance rentable sf) Age 00104106727 10104650523 105 00044515054 1428449267664 23386858733 00207383998
Log(Subtotal Maintenance rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 02440298206 12763823925 2764 0081177414 1402563601749 30061295196 00031359748
Log(Property Insurance rentable sf) Intercept -08916874806 04099633635 -5900 04516384713 1429624291993 -19743390727 00502702101
Log(Property Insurance rentable sf) Green Certified (1=yes 0=no)[Yes] 01239058141 11319092561 1319 0062692592 1281678143933 19764027959 00502564371
Log(Property Insurance rentable sf) Gym (1=yes 0=no)[Yes] -0003522638 09964835593 -035 01024969537 1314939748594 -0034368221 09726356404
Log(Property Insurance rentable sf) Pool (1=yes 0=no)[Yes] 00227423743 10230029538 230 01040308572 1125700947624 02186118131 08273482928
Log(Property Insurance rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] 00155809876 10157030041 157 01206677853 1368483458399 01291230096 08974498986
Log(Property Insurance rentable sf) Walk Score 00072977866 10073244804 073 00030353828 1428602075435 24042392705 00174877086
Log(Property Insurance rentable sf) of Unfurnished Apartments -00010061941 09989943119 -010 0000420017 1337858380697 -23956034086 00179774093
Log(Property Insurance rentable sf) Average Apt Unit Size -00006330482 09993671521 -006 00003514502 1338864329416 -18012458048 0073914725
Log(Property Insurance rentable sf) Age 00009661099 10009665767 010 00039921418 1338497494964 02420028921 08091483095
Log(Property Insurance rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] -00520208103 09493091112 -507 00749301111 1411273861679 -06942577501 04886618561
Log(Total All Expenses Rentable sf) Intercept 17410862845 57035357214 47035 03946731547 141889623796 44114636723 00000201648
Log(Total All Expenses Rentable sf) Green Certified (1=yes 0=no)[Yes] 01231722438 11310792255 1311 00565275641 1341244163534 21789766772 00310802733
Log(Total All Expenses Rentable sf) Gym (1=yes 0=no)[Yes] 00096244971 10096709615 097 00919378962 1370603130567 01046847658 09167789899
Log(Total All Expenses Rentable sf) Pool (1=yes 0=no)[Yes] 01610294116 11747195186 1747 00846545666 801516751987 19021940341 00607378863
Log(Total All Expenses Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -00361842114 09644626121 -355 01071504659 1418739239709 -03376953252 07360919324
Log(Total All Expenses Rentable sf) Walk Score 00087371658 10087754463 088 00026426023 1411809488418 33062734678 00011989895
Log(Total All Expenses Rentable sf) of Unfurnished Apartments -00008720665 09991283137 -009 00003752966 1389800988186 -23236728617 00215934791
Log(Total All Expenses Rentable sf) Average Apt Unit Size -0000155413 0999844599 -002 00003145108 1409449329598 -0494142052 06219751067
Log(Total All Expenses Rentable sf) Age 00015666155 10015678433 016 00035695206 1412387206124 04388868073 06614142124
Log(Total All Expenses Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00157918953 10159172462 159 00657593447 1424551160559 02401467861 08105616925
Log(NOI Rentable sf) Intercept 27416093787 155119295878 145119 049686036 1426328429735 55178669889 0000000157
Log(NOI Rentable sf) Green Certified (1=yes 0=no)[Yes] 00932241108 10977077159 977 00701671113 1292740226257 13286012361 01863200879
Log(NOI Rentable sf) Gym (1=yes 0=no)[Yes] 0111280688 11177085902 1177 0114413579 13320261997 09726178396 03325061802
Log(NOI Rentable sf) Pool (1=yes 0=no)[Yes] -00608871507 0940929417 -591 01107002034 838263437204 -05500184174 05837693269
Log(NOI Rentable sf) Outdoor Common Area (1=yes 0=no)[Yes] -01393113526 08699571229 -1300 01340931949 1397855428856 -10389144106 03006382455
Log(NOI Rentable sf) Walk Score 00045000262 10045101666 045 0003337636 1423581725818 13482675372 01797136327
Log(NOI Rentable sf) of Unfurnished Apartments -00007116645 09992885887 -007 00004679272 1358400867851 -15208872073 01306124688
Log(NOI Rentable sf) Average Apt Unit Size -00001937801 09998062387 -002 00003921685 1372175013367 -04941245389 06220083144
Log(NOI Rentable sf) Age 00034607088 1003466704 035 00044548378 1376438770548 07768428318 04385844885
Log(NOI Rentable sf) Building Mix (0=multifamily 1 = mixed-use)[Mixed] 00488697769 10500835966 501 00828565286 1429949688826 05898120243 0556247504
Concessions rentable sf Intercept 0091580439 10959049266 959 12772069558 1418541020247 00717036801 09429387231
Concessions rentable sf Green Certified (1=yes 0=no)[Yes] 01110697527 11174728508 1175 01814813765 1293641668833 06120173584 05416004511
Concessions rentable sf Gym (1=yes 0=no)[Yes] -05094051331 06008529 -3991 02955403985 1336296409402 -17236395961 00870857294
Concessions rentable sf Pool (1=yes 0=no)[Yes] -00886152984 09151975838 -848 02791864929 69298361986 -03174053928 07518903943
Concessions rentable sf Outdoor Common Area (1=yes 0=no)[Yes] 04576291372 15803228114 5803 03455726285 1408379747117 13242632646 01875606951
Concessions rentable sf Walk Score 00120688741 10121419968 121 00085630896 1409791646097 14094064916 01609170757
Concessions rentable sf of Unfurnished Apartments -00007045588 09992956894 -007 00012075862 1364744404696 -05834438741 05605574922
Concessions rentable sf Average Apt Unit Size -00003193903 09996806607 -003 00010135961 1389703034326 -03151061148 07531537379
Concessions rentable sf Age 00130223218 10131074815 131 00115086772 139464867267 11315220311 02597773256
Concessions rentable sf Building Mix (0=multifamily 1 = mixed-use)[Mixed] -03719888249 06893619462 -3106 02129597676 1426034459287 -17467563435 00828326573
Page 31: AUGUST 21- 23, 2018 • CLEVELAND, OHIO€¦ · Business Case 2.0: New Research Around High Performing Buildings Thursday 23 rd, 2018 10:30am – 12:00pm

Discussion

bull Assume efficient operations will offset the higher rent

bull Philanthropic motivesbull Prestige motivesbull Green buildings tend to be newermore

likely to offer the more sought-after amenities and finishes

bull Tend to be in higher-income areaslikely have higher rents

Different motivations for paying higher rent may be in

play

Discussion

Higher Operating Expenses a Surprise

Does not align with much of the existing researchhellipbut no research on effects of green certification on total operating expenses within multifamily rental sector

Many of the certifications represented in this study focus on the design phase of the property vs the operations and maintenance phase

And although promotion of sustainability is on the rise in the multifamily housing sector staff may remain unfamiliar with the unique operations and maintenance of green

buildings

Final Thoughts

Apartment homes represent $13 trillion to the US economy and 5 million new rental households are expected by 2023 (National Multifamily Housing Council 2015)

Upfront capital constraints regulatory issues knowledge limitations and marketing concerns may diminish the attractiveness of multifamily rental green building

certification if not properly managed

Most studies focus on office sector andor strictly rents or property value

This study begins to look at the multifamily rental sector and offer a more comprehensive analysis

Further research is needed with larger datasets to understand effects of green certification on income statement components in the apartment industry as NOI

ultimately determines property market valueOptimism that this study can be the impetus for further research contributions on the

financial environmental and resident satisfaction impacts of green practices and certifications on the multifamily rental sector

Contact informationErin A Hopkinserinz1vtedu

Acknowledgementsbull Todd Feist Sustainability Program Manager at The Institute of

Real Estate Management (IREMreg) for his assistance with this research project

bull Yardi and IREMreg for the grant awarded to support this researchbull The two property management companies for sharing their data

BUILDING PERFORMANCE

UNLOCKINGVALUE

New DOE-driven Research Around High Performing Buildings

AUGUST 23 2018

ANDREW WHITEASSOCIATE MANAGERawhiteretechadvisorscom

2015-2016 bull Research design working group pilot study data lab

2017 bull Connect to Real Estate Research Institute (RERI) Literature review and gap analysis

2018 bull Research agenda request for proposals research project selection and execution

Context Setting ndash DOE Research EffortWhat are the impacts of energy efficiency and high-performance building

features on financial performance of commercial real estate

RERIrsquos mission is to encourage and reward research on real estate as an investment and as an asset class that is both academically rigorous and of value to the institutional real estate investment profession In addition RERI serves to provide a forum through which the real estate academic professional and regulatory communities can interact facilitating the exchange of insights amongst these stakeholders

RERI Overview

Sponsors

Build upon DOErsquos Review of Studies in the Market

bull Focus explicitly on peer-reviewed papers Gap analysis of existing research to

identifybull Questions that have already been

sufficiently provenbull Holes in existing body of research

Academic Inputbull Guidance on which studies to includebull Suggestions for how to conduct analysis

Literature Review Objectives

Literature Review Results

LEED

ENER

GY

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ENER

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M

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er

Rent 20 18 1 2 2 2 1 1 1Rent concessions 1 1 1Sales price 9 11 1 1 1 1Assessed value 2 2Market value 1 2 1 2 1Occupancy 10 9 1Lease renewals 1 1 1Service charge 1Operating cost 2 3Energy cost 2 3Tenant satisfaction 1 1 1Sales time 1 1Default rate 2 1Capitalization rate 1 2 2 1Net operating income 1 1 1Loan to value ratio 1 1Debt service coverage ratio 1 1Worker productivity 1 1Other 5 4 1 4 2 2

There is considerable evidence that green building certifications correlate with increased economic value primarily via higher rents and sales prices

bull How do we move beyond certification to analyze performancebull Correlation vs Causation

bull What is driving added value Is it green features and efficiency the green labels themselves or other desirable features often included in certified buildings

Panel studies could help reduce some of the uncertainty and noise Full results presented at ACEEE Summer Study

bull Raising the Rent Premium Moving Green Building Research Beyond Certifications and Rent

bull Cindy Zhu Andrew White Paul Mathew Jeff Deason Philip Coleman

Literature Review Results

Research Agenda Core QuestionldquoHow does ltenergygreen metricgt affect ltfinancial value metricgtrdquo

EnergyGreen Metric

Site energy use or EUI

Source energy use or EUI

Energy cost or costsf

ENERGY STAR score

ENERGY STAR label

Green Building Certification (LEED BOMA 360)

Green Building Certification level (eg LEED Silver Gold)

Financial Value Metric

VacancyOccupancy Sales Price

Leasing Velocity (absorption speed of sales leasing)

Regulatory amp Compliance Risk

Tenant Renewals Insurance (rates ability)

Tenant Satisfaction Default Risk

Rental Income and Rent Concessions Debt Service Coverage Ratio

Marketing Costs Access to Funding

Utility Costs Maintenance OpEx Interest Rates

Obsolescence Reserves

Capitalization Rates

12 proposals received 5 projects selected Criteria

bull Department of Energy goals

bull Impact on Commercial Real Estate (CRE) Industry

bull Feasibility and Interest

bull Quality and Validity

Proposal Reviews

Jim Clayton Avis Devine (York University) and Rogier Holtermans(University of Guelph) Analyzing four types of energy

efficiency interventions on financial components that impact property-level NOI

bull How do interventions impact different aspects of building operations and their subsequent financial impact

Beyond Environmental Building Certification The Impact of Environmental Interventions on Commercial Real Estate Operations

Piet Eichholtz and Nils Kok (Maastricht University) and RogierHoltermans (University of Guelph) Three key questions

bull How is environmental building certification related to commercial building energy consumption

bull How does aging affect the energy consumption of the commercial building stock

bull To what extent do specific energy efficiency investments affect energy consumption in commercial real estate

The Dynamics of Energy Consumption in Commercial Real Estate

Sofia Dermisi Chris Lee and YoungjinChoe (University of Washington) Exploring the effect of disclosure

policies on office building marketability while assessing potential links between market performance of sustainable assets

bull Before and after the disclosure policies while considering market cycles

bull Before and after ENERGY STAR andor LEED certification

Markets included San Francisco Washington DC

Effect of Energy Benchmarking and Disclosure on Office Building Marketability

Dirk Brounen (Tilburg University) and Gianluca Marcato (Reading University) Analyzing the adoption of GRESB within the public real estate markets and

predicting a potential impact of GRESB scores on REIT returns

Sustainable Insights and Public Real Estate Performance GRESB Effects in REIT Markets

Constantine Kontokosta (New York University) Franz Fuerst(Cambridge University) Gary Pivo (University of Arizona) amp Jacob Sagi (UNC Chapel Hill) Utilizing NYC data to empirically model

bull the spread between the premium for labeled (energy efficient) buildings and the cost to retrofit an under-performing building to meet the same standard which will allow us to understand how much of the observed premium is attributable to energy efficiency and how much can be assigned to other perceived benefits (marketing construction quality etc)

bull the hurdle rate for energy retrofit investments using actual audit data and permitted renovation work

Estimating Office and Residential Building Energy Retrofit Hurdle Rates and Risk Arbitrage in Energy Efficiency Investments

Collecting data for continued Data Lab analysis Presenting Research findings

bull Interim research results ndash IPC Research Symposium (October)bull Greenbuild Session (November)bull RERI Research Conference (April)bull Final research results ndash Better Buildings Webinars Summit 2019 (TBA)

Work with DOE case study and data analysis opportunities abound

Next Steps

Paul Mathew

Lawrence Berkeley National Laboratorypamathewlblgov

Paulo Issler

University of California Berkeleypauloisslerberkeleyedu

Erin Hopkins

Virginia Techerinz1vtedu

Andrew White

RE Tech Advisorsawhiteretechadvisorscom

Contact Info

  • Slide Number 1
  • Business Case 20 New Research Around High Performing Buildings
  • Panelists
  • Energy and Default Risk in Commercial Mortgages
  • Paulo Issler
  • Acknowledgements
  • The link between energy and CRE mortgages
  • Approach Impact of energy on default rate
  • Default risk and source EUI (cont)
  • Default risk and source EUI
  • Default risk and source EUI (cont)
  • Default risk and source EUI (cont)
  • What are the impacts on specific loans
  • Case Studies
  • Denver Office ndash energy use and default risk
  • Denver Office ndash energy price and default risk
  • Case Studies ndash summary of risks impacts
  • Case Studies ndash business impact
  • Looking Ahead
  • Looking Ahead ndash our vision
  • Recommendations
  • Slide Number 22
  • Money Matters Exploring the Financial Impacts of Green Certifications in the Multifamily Rental SectorErin A Hopkins PhD CAPS LEED Green AssociateAssistant Professor of Property Management
  • Overview of Research
  • Certifications Represented in Sample
  • Properties by City
  • Descriptive
  • Descriptive
  • Findings
  • Financial Impacts of Green
  • Discussion
  • Discussion
  • Final Thoughts
  • Slide Number 34
  • Slide Number 35
  • Context Setting ndash DOE Research Effort
  • RERI Overview
  • Literature Review Objectives
  • Literature Review Results
  • Literature Review Results
  • Research Agenda Core Question
  • Proposal Reviews
  • Beyond Environmental Building Certification The Impact of Environmental Interventions on Commercial Real Estate Operations
  • The Dynamics of Energy Consumption in Commercial Real Estate
  • Effect of Energy Benchmarking and Disclosure on Office Building Marketability
  • Sustainable Insights and Public Real Estate Performance GRESB Effects in REIT Markets
  • Estimating Office and Residential Building Energy Retrofit Hurdle Rates and Risk Arbitrage in Energy Efficiency Investments
  • Next Steps
  • Contact Info
Page 32: AUGUST 21- 23, 2018 • CLEVELAND, OHIO€¦ · Business Case 2.0: New Research Around High Performing Buildings Thursday 23 rd, 2018 10:30am – 12:00pm

Discussion

Higher Operating Expenses a Surprise

Does not align with much of the existing researchhellipbut no research on effects of green certification on total operating expenses within multifamily rental sector

Many of the certifications represented in this study focus on the design phase of the property vs the operations and maintenance phase

And although promotion of sustainability is on the rise in the multifamily housing sector staff may remain unfamiliar with the unique operations and maintenance of green

buildings

Final Thoughts

Apartment homes represent $13 trillion to the US economy and 5 million new rental households are expected by 2023 (National Multifamily Housing Council 2015)

Upfront capital constraints regulatory issues knowledge limitations and marketing concerns may diminish the attractiveness of multifamily rental green building

certification if not properly managed

Most studies focus on office sector andor strictly rents or property value

This study begins to look at the multifamily rental sector and offer a more comprehensive analysis

Further research is needed with larger datasets to understand effects of green certification on income statement components in the apartment industry as NOI

ultimately determines property market valueOptimism that this study can be the impetus for further research contributions on the

financial environmental and resident satisfaction impacts of green practices and certifications on the multifamily rental sector

Contact informationErin A Hopkinserinz1vtedu

Acknowledgementsbull Todd Feist Sustainability Program Manager at The Institute of

Real Estate Management (IREMreg) for his assistance with this research project

bull Yardi and IREMreg for the grant awarded to support this researchbull The two property management companies for sharing their data

BUILDING PERFORMANCE

UNLOCKINGVALUE

New DOE-driven Research Around High Performing Buildings

AUGUST 23 2018

ANDREW WHITEASSOCIATE MANAGERawhiteretechadvisorscom

2015-2016 bull Research design working group pilot study data lab

2017 bull Connect to Real Estate Research Institute (RERI) Literature review and gap analysis

2018 bull Research agenda request for proposals research project selection and execution

Context Setting ndash DOE Research EffortWhat are the impacts of energy efficiency and high-performance building

features on financial performance of commercial real estate

RERIrsquos mission is to encourage and reward research on real estate as an investment and as an asset class that is both academically rigorous and of value to the institutional real estate investment profession In addition RERI serves to provide a forum through which the real estate academic professional and regulatory communities can interact facilitating the exchange of insights amongst these stakeholders

RERI Overview

Sponsors

Build upon DOErsquos Review of Studies in the Market

bull Focus explicitly on peer-reviewed papers Gap analysis of existing research to

identifybull Questions that have already been

sufficiently provenbull Holes in existing body of research

Academic Inputbull Guidance on which studies to includebull Suggestions for how to conduct analysis

Literature Review Objectives

Literature Review Results

LEED

ENER

GY

ST

AR

labe

l

ENER

GY

ST

AR

sc

ore

Ener

gy u

se

BR

EEA

M

Ener

gy

Perf

orm

anc

e Cer

tific

ates

(U

K)

BO

MA

B

EST

Wal

kabi

lity

Non

-ene

rgy

gree

n fe

atur

es

Oth

er

Rent 20 18 1 2 2 2 1 1 1Rent concessions 1 1 1Sales price 9 11 1 1 1 1Assessed value 2 2Market value 1 2 1 2 1Occupancy 10 9 1Lease renewals 1 1 1Service charge 1Operating cost 2 3Energy cost 2 3Tenant satisfaction 1 1 1Sales time 1 1Default rate 2 1Capitalization rate 1 2 2 1Net operating income 1 1 1Loan to value ratio 1 1Debt service coverage ratio 1 1Worker productivity 1 1Other 5 4 1 4 2 2

There is considerable evidence that green building certifications correlate with increased economic value primarily via higher rents and sales prices

bull How do we move beyond certification to analyze performancebull Correlation vs Causation

bull What is driving added value Is it green features and efficiency the green labels themselves or other desirable features often included in certified buildings

Panel studies could help reduce some of the uncertainty and noise Full results presented at ACEEE Summer Study

bull Raising the Rent Premium Moving Green Building Research Beyond Certifications and Rent

bull Cindy Zhu Andrew White Paul Mathew Jeff Deason Philip Coleman

Literature Review Results

Research Agenda Core QuestionldquoHow does ltenergygreen metricgt affect ltfinancial value metricgtrdquo

EnergyGreen Metric

Site energy use or EUI

Source energy use or EUI

Energy cost or costsf

ENERGY STAR score

ENERGY STAR label

Green Building Certification (LEED BOMA 360)

Green Building Certification level (eg LEED Silver Gold)

Financial Value Metric

VacancyOccupancy Sales Price

Leasing Velocity (absorption speed of sales leasing)

Regulatory amp Compliance Risk

Tenant Renewals Insurance (rates ability)

Tenant Satisfaction Default Risk

Rental Income and Rent Concessions Debt Service Coverage Ratio

Marketing Costs Access to Funding

Utility Costs Maintenance OpEx Interest Rates

Obsolescence Reserves

Capitalization Rates

12 proposals received 5 projects selected Criteria

bull Department of Energy goals

bull Impact on Commercial Real Estate (CRE) Industry

bull Feasibility and Interest

bull Quality and Validity

Proposal Reviews

Jim Clayton Avis Devine (York University) and Rogier Holtermans(University of Guelph) Analyzing four types of energy

efficiency interventions on financial components that impact property-level NOI

bull How do interventions impact different aspects of building operations and their subsequent financial impact

Beyond Environmental Building Certification The Impact of Environmental Interventions on Commercial Real Estate Operations

Piet Eichholtz and Nils Kok (Maastricht University) and RogierHoltermans (University of Guelph) Three key questions

bull How is environmental building certification related to commercial building energy consumption

bull How does aging affect the energy consumption of the commercial building stock

bull To what extent do specific energy efficiency investments affect energy consumption in commercial real estate

The Dynamics of Energy Consumption in Commercial Real Estate

Sofia Dermisi Chris Lee and YoungjinChoe (University of Washington) Exploring the effect of disclosure

policies on office building marketability while assessing potential links between market performance of sustainable assets

bull Before and after the disclosure policies while considering market cycles

bull Before and after ENERGY STAR andor LEED certification

Markets included San Francisco Washington DC

Effect of Energy Benchmarking and Disclosure on Office Building Marketability

Dirk Brounen (Tilburg University) and Gianluca Marcato (Reading University) Analyzing the adoption of GRESB within the public real estate markets and

predicting a potential impact of GRESB scores on REIT returns

Sustainable Insights and Public Real Estate Performance GRESB Effects in REIT Markets

Constantine Kontokosta (New York University) Franz Fuerst(Cambridge University) Gary Pivo (University of Arizona) amp Jacob Sagi (UNC Chapel Hill) Utilizing NYC data to empirically model

bull the spread between the premium for labeled (energy efficient) buildings and the cost to retrofit an under-performing building to meet the same standard which will allow us to understand how much of the observed premium is attributable to energy efficiency and how much can be assigned to other perceived benefits (marketing construction quality etc)

bull the hurdle rate for energy retrofit investments using actual audit data and permitted renovation work

Estimating Office and Residential Building Energy Retrofit Hurdle Rates and Risk Arbitrage in Energy Efficiency Investments

Collecting data for continued Data Lab analysis Presenting Research findings

bull Interim research results ndash IPC Research Symposium (October)bull Greenbuild Session (November)bull RERI Research Conference (April)bull Final research results ndash Better Buildings Webinars Summit 2019 (TBA)

Work with DOE case study and data analysis opportunities abound

Next Steps

Paul Mathew

Lawrence Berkeley National Laboratorypamathewlblgov

Paulo Issler

University of California Berkeleypauloisslerberkeleyedu

Erin Hopkins

Virginia Techerinz1vtedu

Andrew White

RE Tech Advisorsawhiteretechadvisorscom

Contact Info

  • Slide Number 1
  • Business Case 20 New Research Around High Performing Buildings
  • Panelists
  • Energy and Default Risk in Commercial Mortgages
  • Paulo Issler
  • Acknowledgements
  • The link between energy and CRE mortgages
  • Approach Impact of energy on default rate
  • Default risk and source EUI (cont)
  • Default risk and source EUI
  • Default risk and source EUI (cont)
  • Default risk and source EUI (cont)
  • What are the impacts on specific loans
  • Case Studies
  • Denver Office ndash energy use and default risk
  • Denver Office ndash energy price and default risk
  • Case Studies ndash summary of risks impacts
  • Case Studies ndash business impact
  • Looking Ahead
  • Looking Ahead ndash our vision
  • Recommendations
  • Slide Number 22
  • Money Matters Exploring the Financial Impacts of Green Certifications in the Multifamily Rental SectorErin A Hopkins PhD CAPS LEED Green AssociateAssistant Professor of Property Management
  • Overview of Research
  • Certifications Represented in Sample
  • Properties by City
  • Descriptive
  • Descriptive
  • Findings
  • Financial Impacts of Green
  • Discussion
  • Discussion
  • Final Thoughts
  • Slide Number 34
  • Slide Number 35
  • Context Setting ndash DOE Research Effort
  • RERI Overview
  • Literature Review Objectives
  • Literature Review Results
  • Literature Review Results
  • Research Agenda Core Question
  • Proposal Reviews
  • Beyond Environmental Building Certification The Impact of Environmental Interventions on Commercial Real Estate Operations
  • The Dynamics of Energy Consumption in Commercial Real Estate
  • Effect of Energy Benchmarking and Disclosure on Office Building Marketability
  • Sustainable Insights and Public Real Estate Performance GRESB Effects in REIT Markets
  • Estimating Office and Residential Building Energy Retrofit Hurdle Rates and Risk Arbitrage in Energy Efficiency Investments
  • Next Steps
  • Contact Info
Page 33: AUGUST 21- 23, 2018 • CLEVELAND, OHIO€¦ · Business Case 2.0: New Research Around High Performing Buildings Thursday 23 rd, 2018 10:30am – 12:00pm

Final Thoughts

Apartment homes represent $13 trillion to the US economy and 5 million new rental households are expected by 2023 (National Multifamily Housing Council 2015)

Upfront capital constraints regulatory issues knowledge limitations and marketing concerns may diminish the attractiveness of multifamily rental green building

certification if not properly managed

Most studies focus on office sector andor strictly rents or property value

This study begins to look at the multifamily rental sector and offer a more comprehensive analysis

Further research is needed with larger datasets to understand effects of green certification on income statement components in the apartment industry as NOI

ultimately determines property market valueOptimism that this study can be the impetus for further research contributions on the

financial environmental and resident satisfaction impacts of green practices and certifications on the multifamily rental sector

Contact informationErin A Hopkinserinz1vtedu

Acknowledgementsbull Todd Feist Sustainability Program Manager at The Institute of

Real Estate Management (IREMreg) for his assistance with this research project

bull Yardi and IREMreg for the grant awarded to support this researchbull The two property management companies for sharing their data

BUILDING PERFORMANCE

UNLOCKINGVALUE

New DOE-driven Research Around High Performing Buildings

AUGUST 23 2018

ANDREW WHITEASSOCIATE MANAGERawhiteretechadvisorscom

2015-2016 bull Research design working group pilot study data lab

2017 bull Connect to Real Estate Research Institute (RERI) Literature review and gap analysis

2018 bull Research agenda request for proposals research project selection and execution

Context Setting ndash DOE Research EffortWhat are the impacts of energy efficiency and high-performance building

features on financial performance of commercial real estate

RERIrsquos mission is to encourage and reward research on real estate as an investment and as an asset class that is both academically rigorous and of value to the institutional real estate investment profession In addition RERI serves to provide a forum through which the real estate academic professional and regulatory communities can interact facilitating the exchange of insights amongst these stakeholders

RERI Overview

Sponsors

Build upon DOErsquos Review of Studies in the Market

bull Focus explicitly on peer-reviewed papers Gap analysis of existing research to

identifybull Questions that have already been

sufficiently provenbull Holes in existing body of research

Academic Inputbull Guidance on which studies to includebull Suggestions for how to conduct analysis

Literature Review Objectives

Literature Review Results

LEED

ENER

GY

ST

AR

labe

l

ENER

GY

ST

AR

sc

ore

Ener

gy u

se

BR

EEA

M

Ener

gy

Perf

orm

anc

e Cer

tific

ates

(U

K)

BO

MA

B

EST

Wal

kabi

lity

Non

-ene

rgy

gree

n fe

atur

es

Oth

er

Rent 20 18 1 2 2 2 1 1 1Rent concessions 1 1 1Sales price 9 11 1 1 1 1Assessed value 2 2Market value 1 2 1 2 1Occupancy 10 9 1Lease renewals 1 1 1Service charge 1Operating cost 2 3Energy cost 2 3Tenant satisfaction 1 1 1Sales time 1 1Default rate 2 1Capitalization rate 1 2 2 1Net operating income 1 1 1Loan to value ratio 1 1Debt service coverage ratio 1 1Worker productivity 1 1Other 5 4 1 4 2 2

There is considerable evidence that green building certifications correlate with increased economic value primarily via higher rents and sales prices

bull How do we move beyond certification to analyze performancebull Correlation vs Causation

bull What is driving added value Is it green features and efficiency the green labels themselves or other desirable features often included in certified buildings

Panel studies could help reduce some of the uncertainty and noise Full results presented at ACEEE Summer Study

bull Raising the Rent Premium Moving Green Building Research Beyond Certifications and Rent

bull Cindy Zhu Andrew White Paul Mathew Jeff Deason Philip Coleman

Literature Review Results

Research Agenda Core QuestionldquoHow does ltenergygreen metricgt affect ltfinancial value metricgtrdquo

EnergyGreen Metric

Site energy use or EUI

Source energy use or EUI

Energy cost or costsf

ENERGY STAR score

ENERGY STAR label

Green Building Certification (LEED BOMA 360)

Green Building Certification level (eg LEED Silver Gold)

Financial Value Metric

VacancyOccupancy Sales Price

Leasing Velocity (absorption speed of sales leasing)

Regulatory amp Compliance Risk

Tenant Renewals Insurance (rates ability)

Tenant Satisfaction Default Risk

Rental Income and Rent Concessions Debt Service Coverage Ratio

Marketing Costs Access to Funding

Utility Costs Maintenance OpEx Interest Rates

Obsolescence Reserves

Capitalization Rates

12 proposals received 5 projects selected Criteria

bull Department of Energy goals

bull Impact on Commercial Real Estate (CRE) Industry

bull Feasibility and Interest

bull Quality and Validity

Proposal Reviews

Jim Clayton Avis Devine (York University) and Rogier Holtermans(University of Guelph) Analyzing four types of energy

efficiency interventions on financial components that impact property-level NOI

bull How do interventions impact different aspects of building operations and their subsequent financial impact

Beyond Environmental Building Certification The Impact of Environmental Interventions on Commercial Real Estate Operations

Piet Eichholtz and Nils Kok (Maastricht University) and RogierHoltermans (University of Guelph) Three key questions

bull How is environmental building certification related to commercial building energy consumption

bull How does aging affect the energy consumption of the commercial building stock

bull To what extent do specific energy efficiency investments affect energy consumption in commercial real estate

The Dynamics of Energy Consumption in Commercial Real Estate

Sofia Dermisi Chris Lee and YoungjinChoe (University of Washington) Exploring the effect of disclosure

policies on office building marketability while assessing potential links between market performance of sustainable assets

bull Before and after the disclosure policies while considering market cycles

bull Before and after ENERGY STAR andor LEED certification

Markets included San Francisco Washington DC

Effect of Energy Benchmarking and Disclosure on Office Building Marketability

Dirk Brounen (Tilburg University) and Gianluca Marcato (Reading University) Analyzing the adoption of GRESB within the public real estate markets and

predicting a potential impact of GRESB scores on REIT returns

Sustainable Insights and Public Real Estate Performance GRESB Effects in REIT Markets

Constantine Kontokosta (New York University) Franz Fuerst(Cambridge University) Gary Pivo (University of Arizona) amp Jacob Sagi (UNC Chapel Hill) Utilizing NYC data to empirically model

bull the spread between the premium for labeled (energy efficient) buildings and the cost to retrofit an under-performing building to meet the same standard which will allow us to understand how much of the observed premium is attributable to energy efficiency and how much can be assigned to other perceived benefits (marketing construction quality etc)

bull the hurdle rate for energy retrofit investments using actual audit data and permitted renovation work

Estimating Office and Residential Building Energy Retrofit Hurdle Rates and Risk Arbitrage in Energy Efficiency Investments

Collecting data for continued Data Lab analysis Presenting Research findings

bull Interim research results ndash IPC Research Symposium (October)bull Greenbuild Session (November)bull RERI Research Conference (April)bull Final research results ndash Better Buildings Webinars Summit 2019 (TBA)

Work with DOE case study and data analysis opportunities abound

Next Steps

Paul Mathew

Lawrence Berkeley National Laboratorypamathewlblgov

Paulo Issler

University of California Berkeleypauloisslerberkeleyedu

Erin Hopkins

Virginia Techerinz1vtedu

Andrew White

RE Tech Advisorsawhiteretechadvisorscom

Contact Info

  • Slide Number 1
  • Business Case 20 New Research Around High Performing Buildings
  • Panelists
  • Energy and Default Risk in Commercial Mortgages
  • Paulo Issler
  • Acknowledgements
  • The link between energy and CRE mortgages
  • Approach Impact of energy on default rate
  • Default risk and source EUI (cont)
  • Default risk and source EUI
  • Default risk and source EUI (cont)
  • Default risk and source EUI (cont)
  • What are the impacts on specific loans
  • Case Studies
  • Denver Office ndash energy use and default risk
  • Denver Office ndash energy price and default risk
  • Case Studies ndash summary of risks impacts
  • Case Studies ndash business impact
  • Looking Ahead
  • Looking Ahead ndash our vision
  • Recommendations
  • Slide Number 22
  • Money Matters Exploring the Financial Impacts of Green Certifications in the Multifamily Rental SectorErin A Hopkins PhD CAPS LEED Green AssociateAssistant Professor of Property Management
  • Overview of Research
  • Certifications Represented in Sample
  • Properties by City
  • Descriptive
  • Descriptive
  • Findings
  • Financial Impacts of Green
  • Discussion
  • Discussion
  • Final Thoughts
  • Slide Number 34
  • Slide Number 35
  • Context Setting ndash DOE Research Effort
  • RERI Overview
  • Literature Review Objectives
  • Literature Review Results
  • Literature Review Results
  • Research Agenda Core Question
  • Proposal Reviews
  • Beyond Environmental Building Certification The Impact of Environmental Interventions on Commercial Real Estate Operations
  • The Dynamics of Energy Consumption in Commercial Real Estate
  • Effect of Energy Benchmarking and Disclosure on Office Building Marketability
  • Sustainable Insights and Public Real Estate Performance GRESB Effects in REIT Markets
  • Estimating Office and Residential Building Energy Retrofit Hurdle Rates and Risk Arbitrage in Energy Efficiency Investments
  • Next Steps
  • Contact Info
Page 34: AUGUST 21- 23, 2018 • CLEVELAND, OHIO€¦ · Business Case 2.0: New Research Around High Performing Buildings Thursday 23 rd, 2018 10:30am – 12:00pm

Contact informationErin A Hopkinserinz1vtedu

Acknowledgementsbull Todd Feist Sustainability Program Manager at The Institute of

Real Estate Management (IREMreg) for his assistance with this research project

bull Yardi and IREMreg for the grant awarded to support this researchbull The two property management companies for sharing their data

BUILDING PERFORMANCE

UNLOCKINGVALUE

New DOE-driven Research Around High Performing Buildings

AUGUST 23 2018

ANDREW WHITEASSOCIATE MANAGERawhiteretechadvisorscom

2015-2016 bull Research design working group pilot study data lab

2017 bull Connect to Real Estate Research Institute (RERI) Literature review and gap analysis

2018 bull Research agenda request for proposals research project selection and execution

Context Setting ndash DOE Research EffortWhat are the impacts of energy efficiency and high-performance building

features on financial performance of commercial real estate

RERIrsquos mission is to encourage and reward research on real estate as an investment and as an asset class that is both academically rigorous and of value to the institutional real estate investment profession In addition RERI serves to provide a forum through which the real estate academic professional and regulatory communities can interact facilitating the exchange of insights amongst these stakeholders

RERI Overview

Sponsors

Build upon DOErsquos Review of Studies in the Market

bull Focus explicitly on peer-reviewed papers Gap analysis of existing research to

identifybull Questions that have already been

sufficiently provenbull Holes in existing body of research

Academic Inputbull Guidance on which studies to includebull Suggestions for how to conduct analysis

Literature Review Objectives

Literature Review Results

LEED

ENER

GY

ST

AR

labe

l

ENER

GY

ST

AR

sc

ore

Ener

gy u

se

BR

EEA

M

Ener

gy

Perf

orm

anc

e Cer

tific

ates

(U

K)

BO

MA

B

EST

Wal

kabi

lity

Non

-ene

rgy

gree

n fe

atur

es

Oth

er

Rent 20 18 1 2 2 2 1 1 1Rent concessions 1 1 1Sales price 9 11 1 1 1 1Assessed value 2 2Market value 1 2 1 2 1Occupancy 10 9 1Lease renewals 1 1 1Service charge 1Operating cost 2 3Energy cost 2 3Tenant satisfaction 1 1 1Sales time 1 1Default rate 2 1Capitalization rate 1 2 2 1Net operating income 1 1 1Loan to value ratio 1 1Debt service coverage ratio 1 1Worker productivity 1 1Other 5 4 1 4 2 2

There is considerable evidence that green building certifications correlate with increased economic value primarily via higher rents and sales prices

bull How do we move beyond certification to analyze performancebull Correlation vs Causation

bull What is driving added value Is it green features and efficiency the green labels themselves or other desirable features often included in certified buildings

Panel studies could help reduce some of the uncertainty and noise Full results presented at ACEEE Summer Study

bull Raising the Rent Premium Moving Green Building Research Beyond Certifications and Rent

bull Cindy Zhu Andrew White Paul Mathew Jeff Deason Philip Coleman

Literature Review Results

Research Agenda Core QuestionldquoHow does ltenergygreen metricgt affect ltfinancial value metricgtrdquo

EnergyGreen Metric

Site energy use or EUI

Source energy use or EUI

Energy cost or costsf

ENERGY STAR score

ENERGY STAR label

Green Building Certification (LEED BOMA 360)

Green Building Certification level (eg LEED Silver Gold)

Financial Value Metric

VacancyOccupancy Sales Price

Leasing Velocity (absorption speed of sales leasing)

Regulatory amp Compliance Risk

Tenant Renewals Insurance (rates ability)

Tenant Satisfaction Default Risk

Rental Income and Rent Concessions Debt Service Coverage Ratio

Marketing Costs Access to Funding

Utility Costs Maintenance OpEx Interest Rates

Obsolescence Reserves

Capitalization Rates

12 proposals received 5 projects selected Criteria

bull Department of Energy goals

bull Impact on Commercial Real Estate (CRE) Industry

bull Feasibility and Interest

bull Quality and Validity

Proposal Reviews

Jim Clayton Avis Devine (York University) and Rogier Holtermans(University of Guelph) Analyzing four types of energy

efficiency interventions on financial components that impact property-level NOI

bull How do interventions impact different aspects of building operations and their subsequent financial impact

Beyond Environmental Building Certification The Impact of Environmental Interventions on Commercial Real Estate Operations

Piet Eichholtz and Nils Kok (Maastricht University) and RogierHoltermans (University of Guelph) Three key questions

bull How is environmental building certification related to commercial building energy consumption

bull How does aging affect the energy consumption of the commercial building stock

bull To what extent do specific energy efficiency investments affect energy consumption in commercial real estate

The Dynamics of Energy Consumption in Commercial Real Estate

Sofia Dermisi Chris Lee and YoungjinChoe (University of Washington) Exploring the effect of disclosure

policies on office building marketability while assessing potential links between market performance of sustainable assets

bull Before and after the disclosure policies while considering market cycles

bull Before and after ENERGY STAR andor LEED certification

Markets included San Francisco Washington DC

Effect of Energy Benchmarking and Disclosure on Office Building Marketability

Dirk Brounen (Tilburg University) and Gianluca Marcato (Reading University) Analyzing the adoption of GRESB within the public real estate markets and

predicting a potential impact of GRESB scores on REIT returns

Sustainable Insights and Public Real Estate Performance GRESB Effects in REIT Markets

Constantine Kontokosta (New York University) Franz Fuerst(Cambridge University) Gary Pivo (University of Arizona) amp Jacob Sagi (UNC Chapel Hill) Utilizing NYC data to empirically model

bull the spread between the premium for labeled (energy efficient) buildings and the cost to retrofit an under-performing building to meet the same standard which will allow us to understand how much of the observed premium is attributable to energy efficiency and how much can be assigned to other perceived benefits (marketing construction quality etc)

bull the hurdle rate for energy retrofit investments using actual audit data and permitted renovation work

Estimating Office and Residential Building Energy Retrofit Hurdle Rates and Risk Arbitrage in Energy Efficiency Investments

Collecting data for continued Data Lab analysis Presenting Research findings

bull Interim research results ndash IPC Research Symposium (October)bull Greenbuild Session (November)bull RERI Research Conference (April)bull Final research results ndash Better Buildings Webinars Summit 2019 (TBA)

Work with DOE case study and data analysis opportunities abound

Next Steps

Paul Mathew

Lawrence Berkeley National Laboratorypamathewlblgov

Paulo Issler

University of California Berkeleypauloisslerberkeleyedu

Erin Hopkins

Virginia Techerinz1vtedu

Andrew White

RE Tech Advisorsawhiteretechadvisorscom

Contact Info

  • Slide Number 1
  • Business Case 20 New Research Around High Performing Buildings
  • Panelists
  • Energy and Default Risk in Commercial Mortgages
  • Paulo Issler
  • Acknowledgements
  • The link between energy and CRE mortgages
  • Approach Impact of energy on default rate
  • Default risk and source EUI (cont)
  • Default risk and source EUI
  • Default risk and source EUI (cont)
  • Default risk and source EUI (cont)
  • What are the impacts on specific loans
  • Case Studies
  • Denver Office ndash energy use and default risk
  • Denver Office ndash energy price and default risk
  • Case Studies ndash summary of risks impacts
  • Case Studies ndash business impact
  • Looking Ahead
  • Looking Ahead ndash our vision
  • Recommendations
  • Slide Number 22
  • Money Matters Exploring the Financial Impacts of Green Certifications in the Multifamily Rental SectorErin A Hopkins PhD CAPS LEED Green AssociateAssistant Professor of Property Management
  • Overview of Research
  • Certifications Represented in Sample
  • Properties by City
  • Descriptive
  • Descriptive
  • Findings
  • Financial Impacts of Green
  • Discussion
  • Discussion
  • Final Thoughts
  • Slide Number 34
  • Slide Number 35
  • Context Setting ndash DOE Research Effort
  • RERI Overview
  • Literature Review Objectives
  • Literature Review Results
  • Literature Review Results
  • Research Agenda Core Question
  • Proposal Reviews
  • Beyond Environmental Building Certification The Impact of Environmental Interventions on Commercial Real Estate Operations
  • The Dynamics of Energy Consumption in Commercial Real Estate
  • Effect of Energy Benchmarking and Disclosure on Office Building Marketability
  • Sustainable Insights and Public Real Estate Performance GRESB Effects in REIT Markets
  • Estimating Office and Residential Building Energy Retrofit Hurdle Rates and Risk Arbitrage in Energy Efficiency Investments
  • Next Steps
  • Contact Info
Page 35: AUGUST 21- 23, 2018 • CLEVELAND, OHIO€¦ · Business Case 2.0: New Research Around High Performing Buildings Thursday 23 rd, 2018 10:30am – 12:00pm

BUILDING PERFORMANCE

UNLOCKINGVALUE

New DOE-driven Research Around High Performing Buildings

AUGUST 23 2018

ANDREW WHITEASSOCIATE MANAGERawhiteretechadvisorscom

2015-2016 bull Research design working group pilot study data lab

2017 bull Connect to Real Estate Research Institute (RERI) Literature review and gap analysis

2018 bull Research agenda request for proposals research project selection and execution

Context Setting ndash DOE Research EffortWhat are the impacts of energy efficiency and high-performance building

features on financial performance of commercial real estate

RERIrsquos mission is to encourage and reward research on real estate as an investment and as an asset class that is both academically rigorous and of value to the institutional real estate investment profession In addition RERI serves to provide a forum through which the real estate academic professional and regulatory communities can interact facilitating the exchange of insights amongst these stakeholders

RERI Overview

Sponsors

Build upon DOErsquos Review of Studies in the Market

bull Focus explicitly on peer-reviewed papers Gap analysis of existing research to

identifybull Questions that have already been

sufficiently provenbull Holes in existing body of research

Academic Inputbull Guidance on which studies to includebull Suggestions for how to conduct analysis

Literature Review Objectives

Literature Review Results

LEED

ENER

GY

ST

AR

labe

l

ENER

GY

ST

AR

sc

ore

Ener

gy u

se

BR

EEA

M

Ener

gy

Perf

orm

anc

e Cer

tific

ates

(U

K)

BO

MA

B

EST

Wal

kabi

lity

Non

-ene

rgy

gree

n fe

atur

es

Oth

er

Rent 20 18 1 2 2 2 1 1 1Rent concessions 1 1 1Sales price 9 11 1 1 1 1Assessed value 2 2Market value 1 2 1 2 1Occupancy 10 9 1Lease renewals 1 1 1Service charge 1Operating cost 2 3Energy cost 2 3Tenant satisfaction 1 1 1Sales time 1 1Default rate 2 1Capitalization rate 1 2 2 1Net operating income 1 1 1Loan to value ratio 1 1Debt service coverage ratio 1 1Worker productivity 1 1Other 5 4 1 4 2 2

There is considerable evidence that green building certifications correlate with increased economic value primarily via higher rents and sales prices

bull How do we move beyond certification to analyze performancebull Correlation vs Causation

bull What is driving added value Is it green features and efficiency the green labels themselves or other desirable features often included in certified buildings

Panel studies could help reduce some of the uncertainty and noise Full results presented at ACEEE Summer Study

bull Raising the Rent Premium Moving Green Building Research Beyond Certifications and Rent

bull Cindy Zhu Andrew White Paul Mathew Jeff Deason Philip Coleman

Literature Review Results

Research Agenda Core QuestionldquoHow does ltenergygreen metricgt affect ltfinancial value metricgtrdquo

EnergyGreen Metric

Site energy use or EUI

Source energy use or EUI

Energy cost or costsf

ENERGY STAR score

ENERGY STAR label

Green Building Certification (LEED BOMA 360)

Green Building Certification level (eg LEED Silver Gold)

Financial Value Metric

VacancyOccupancy Sales Price

Leasing Velocity (absorption speed of sales leasing)

Regulatory amp Compliance Risk

Tenant Renewals Insurance (rates ability)

Tenant Satisfaction Default Risk

Rental Income and Rent Concessions Debt Service Coverage Ratio

Marketing Costs Access to Funding

Utility Costs Maintenance OpEx Interest Rates

Obsolescence Reserves

Capitalization Rates

12 proposals received 5 projects selected Criteria

bull Department of Energy goals

bull Impact on Commercial Real Estate (CRE) Industry

bull Feasibility and Interest

bull Quality and Validity

Proposal Reviews

Jim Clayton Avis Devine (York University) and Rogier Holtermans(University of Guelph) Analyzing four types of energy

efficiency interventions on financial components that impact property-level NOI

bull How do interventions impact different aspects of building operations and their subsequent financial impact

Beyond Environmental Building Certification The Impact of Environmental Interventions on Commercial Real Estate Operations

Piet Eichholtz and Nils Kok (Maastricht University) and RogierHoltermans (University of Guelph) Three key questions

bull How is environmental building certification related to commercial building energy consumption

bull How does aging affect the energy consumption of the commercial building stock

bull To what extent do specific energy efficiency investments affect energy consumption in commercial real estate

The Dynamics of Energy Consumption in Commercial Real Estate

Sofia Dermisi Chris Lee and YoungjinChoe (University of Washington) Exploring the effect of disclosure

policies on office building marketability while assessing potential links between market performance of sustainable assets

bull Before and after the disclosure policies while considering market cycles

bull Before and after ENERGY STAR andor LEED certification

Markets included San Francisco Washington DC

Effect of Energy Benchmarking and Disclosure on Office Building Marketability

Dirk Brounen (Tilburg University) and Gianluca Marcato (Reading University) Analyzing the adoption of GRESB within the public real estate markets and

predicting a potential impact of GRESB scores on REIT returns

Sustainable Insights and Public Real Estate Performance GRESB Effects in REIT Markets

Constantine Kontokosta (New York University) Franz Fuerst(Cambridge University) Gary Pivo (University of Arizona) amp Jacob Sagi (UNC Chapel Hill) Utilizing NYC data to empirically model

bull the spread between the premium for labeled (energy efficient) buildings and the cost to retrofit an under-performing building to meet the same standard which will allow us to understand how much of the observed premium is attributable to energy efficiency and how much can be assigned to other perceived benefits (marketing construction quality etc)

bull the hurdle rate for energy retrofit investments using actual audit data and permitted renovation work

Estimating Office and Residential Building Energy Retrofit Hurdle Rates and Risk Arbitrage in Energy Efficiency Investments

Collecting data for continued Data Lab analysis Presenting Research findings

bull Interim research results ndash IPC Research Symposium (October)bull Greenbuild Session (November)bull RERI Research Conference (April)bull Final research results ndash Better Buildings Webinars Summit 2019 (TBA)

Work with DOE case study and data analysis opportunities abound

Next Steps

Paul Mathew

Lawrence Berkeley National Laboratorypamathewlblgov

Paulo Issler

University of California Berkeleypauloisslerberkeleyedu

Erin Hopkins

Virginia Techerinz1vtedu

Andrew White

RE Tech Advisorsawhiteretechadvisorscom

Contact Info

  • Slide Number 1
  • Business Case 20 New Research Around High Performing Buildings
  • Panelists
  • Energy and Default Risk in Commercial Mortgages
  • Paulo Issler
  • Acknowledgements
  • The link between energy and CRE mortgages
  • Approach Impact of energy on default rate
  • Default risk and source EUI (cont)
  • Default risk and source EUI
  • Default risk and source EUI (cont)
  • Default risk and source EUI (cont)
  • What are the impacts on specific loans
  • Case Studies
  • Denver Office ndash energy use and default risk
  • Denver Office ndash energy price and default risk
  • Case Studies ndash summary of risks impacts
  • Case Studies ndash business impact
  • Looking Ahead
  • Looking Ahead ndash our vision
  • Recommendations
  • Slide Number 22
  • Money Matters Exploring the Financial Impacts of Green Certifications in the Multifamily Rental SectorErin A Hopkins PhD CAPS LEED Green AssociateAssistant Professor of Property Management
  • Overview of Research
  • Certifications Represented in Sample
  • Properties by City
  • Descriptive
  • Descriptive
  • Findings
  • Financial Impacts of Green
  • Discussion
  • Discussion
  • Final Thoughts
  • Slide Number 34
  • Slide Number 35
  • Context Setting ndash DOE Research Effort
  • RERI Overview
  • Literature Review Objectives
  • Literature Review Results
  • Literature Review Results
  • Research Agenda Core Question
  • Proposal Reviews
  • Beyond Environmental Building Certification The Impact of Environmental Interventions on Commercial Real Estate Operations
  • The Dynamics of Energy Consumption in Commercial Real Estate
  • Effect of Energy Benchmarking and Disclosure on Office Building Marketability
  • Sustainable Insights and Public Real Estate Performance GRESB Effects in REIT Markets
  • Estimating Office and Residential Building Energy Retrofit Hurdle Rates and Risk Arbitrage in Energy Efficiency Investments
  • Next Steps
  • Contact Info
Page 36: AUGUST 21- 23, 2018 • CLEVELAND, OHIO€¦ · Business Case 2.0: New Research Around High Performing Buildings Thursday 23 rd, 2018 10:30am – 12:00pm

2015-2016 bull Research design working group pilot study data lab

2017 bull Connect to Real Estate Research Institute (RERI) Literature review and gap analysis

2018 bull Research agenda request for proposals research project selection and execution

Context Setting ndash DOE Research EffortWhat are the impacts of energy efficiency and high-performance building

features on financial performance of commercial real estate

RERIrsquos mission is to encourage and reward research on real estate as an investment and as an asset class that is both academically rigorous and of value to the institutional real estate investment profession In addition RERI serves to provide a forum through which the real estate academic professional and regulatory communities can interact facilitating the exchange of insights amongst these stakeholders

RERI Overview

Sponsors

Build upon DOErsquos Review of Studies in the Market

bull Focus explicitly on peer-reviewed papers Gap analysis of existing research to

identifybull Questions that have already been

sufficiently provenbull Holes in existing body of research

Academic Inputbull Guidance on which studies to includebull Suggestions for how to conduct analysis

Literature Review Objectives

Literature Review Results

LEED

ENER

GY

ST

AR

labe

l

ENER

GY

ST

AR

sc

ore

Ener

gy u

se

BR

EEA

M

Ener

gy

Perf

orm

anc

e Cer

tific

ates

(U

K)

BO

MA

B

EST

Wal

kabi

lity

Non

-ene

rgy

gree

n fe

atur

es

Oth

er

Rent 20 18 1 2 2 2 1 1 1Rent concessions 1 1 1Sales price 9 11 1 1 1 1Assessed value 2 2Market value 1 2 1 2 1Occupancy 10 9 1Lease renewals 1 1 1Service charge 1Operating cost 2 3Energy cost 2 3Tenant satisfaction 1 1 1Sales time 1 1Default rate 2 1Capitalization rate 1 2 2 1Net operating income 1 1 1Loan to value ratio 1 1Debt service coverage ratio 1 1Worker productivity 1 1Other 5 4 1 4 2 2

There is considerable evidence that green building certifications correlate with increased economic value primarily via higher rents and sales prices

bull How do we move beyond certification to analyze performancebull Correlation vs Causation

bull What is driving added value Is it green features and efficiency the green labels themselves or other desirable features often included in certified buildings

Panel studies could help reduce some of the uncertainty and noise Full results presented at ACEEE Summer Study

bull Raising the Rent Premium Moving Green Building Research Beyond Certifications and Rent

bull Cindy Zhu Andrew White Paul Mathew Jeff Deason Philip Coleman

Literature Review Results

Research Agenda Core QuestionldquoHow does ltenergygreen metricgt affect ltfinancial value metricgtrdquo

EnergyGreen Metric

Site energy use or EUI

Source energy use or EUI

Energy cost or costsf

ENERGY STAR score

ENERGY STAR label

Green Building Certification (LEED BOMA 360)

Green Building Certification level (eg LEED Silver Gold)

Financial Value Metric

VacancyOccupancy Sales Price

Leasing Velocity (absorption speed of sales leasing)

Regulatory amp Compliance Risk

Tenant Renewals Insurance (rates ability)

Tenant Satisfaction Default Risk

Rental Income and Rent Concessions Debt Service Coverage Ratio

Marketing Costs Access to Funding

Utility Costs Maintenance OpEx Interest Rates

Obsolescence Reserves

Capitalization Rates

12 proposals received 5 projects selected Criteria

bull Department of Energy goals

bull Impact on Commercial Real Estate (CRE) Industry

bull Feasibility and Interest

bull Quality and Validity

Proposal Reviews

Jim Clayton Avis Devine (York University) and Rogier Holtermans(University of Guelph) Analyzing four types of energy

efficiency interventions on financial components that impact property-level NOI

bull How do interventions impact different aspects of building operations and their subsequent financial impact

Beyond Environmental Building Certification The Impact of Environmental Interventions on Commercial Real Estate Operations

Piet Eichholtz and Nils Kok (Maastricht University) and RogierHoltermans (University of Guelph) Three key questions

bull How is environmental building certification related to commercial building energy consumption

bull How does aging affect the energy consumption of the commercial building stock

bull To what extent do specific energy efficiency investments affect energy consumption in commercial real estate

The Dynamics of Energy Consumption in Commercial Real Estate

Sofia Dermisi Chris Lee and YoungjinChoe (University of Washington) Exploring the effect of disclosure

policies on office building marketability while assessing potential links between market performance of sustainable assets

bull Before and after the disclosure policies while considering market cycles

bull Before and after ENERGY STAR andor LEED certification

Markets included San Francisco Washington DC

Effect of Energy Benchmarking and Disclosure on Office Building Marketability

Dirk Brounen (Tilburg University) and Gianluca Marcato (Reading University) Analyzing the adoption of GRESB within the public real estate markets and

predicting a potential impact of GRESB scores on REIT returns

Sustainable Insights and Public Real Estate Performance GRESB Effects in REIT Markets

Constantine Kontokosta (New York University) Franz Fuerst(Cambridge University) Gary Pivo (University of Arizona) amp Jacob Sagi (UNC Chapel Hill) Utilizing NYC data to empirically model

bull the spread between the premium for labeled (energy efficient) buildings and the cost to retrofit an under-performing building to meet the same standard which will allow us to understand how much of the observed premium is attributable to energy efficiency and how much can be assigned to other perceived benefits (marketing construction quality etc)

bull the hurdle rate for energy retrofit investments using actual audit data and permitted renovation work

Estimating Office and Residential Building Energy Retrofit Hurdle Rates and Risk Arbitrage in Energy Efficiency Investments

Collecting data for continued Data Lab analysis Presenting Research findings

bull Interim research results ndash IPC Research Symposium (October)bull Greenbuild Session (November)bull RERI Research Conference (April)bull Final research results ndash Better Buildings Webinars Summit 2019 (TBA)

Work with DOE case study and data analysis opportunities abound

Next Steps

Paul Mathew

Lawrence Berkeley National Laboratorypamathewlblgov

Paulo Issler

University of California Berkeleypauloisslerberkeleyedu

Erin Hopkins

Virginia Techerinz1vtedu

Andrew White

RE Tech Advisorsawhiteretechadvisorscom

Contact Info

  • Slide Number 1
  • Business Case 20 New Research Around High Performing Buildings
  • Panelists
  • Energy and Default Risk in Commercial Mortgages
  • Paulo Issler
  • Acknowledgements
  • The link between energy and CRE mortgages
  • Approach Impact of energy on default rate
  • Default risk and source EUI (cont)
  • Default risk and source EUI
  • Default risk and source EUI (cont)
  • Default risk and source EUI (cont)
  • What are the impacts on specific loans
  • Case Studies
  • Denver Office ndash energy use and default risk
  • Denver Office ndash energy price and default risk
  • Case Studies ndash summary of risks impacts
  • Case Studies ndash business impact
  • Looking Ahead
  • Looking Ahead ndash our vision
  • Recommendations
  • Slide Number 22
  • Money Matters Exploring the Financial Impacts of Green Certifications in the Multifamily Rental SectorErin A Hopkins PhD CAPS LEED Green AssociateAssistant Professor of Property Management
  • Overview of Research
  • Certifications Represented in Sample
  • Properties by City
  • Descriptive
  • Descriptive
  • Findings
  • Financial Impacts of Green
  • Discussion
  • Discussion
  • Final Thoughts
  • Slide Number 34
  • Slide Number 35
  • Context Setting ndash DOE Research Effort
  • RERI Overview
  • Literature Review Objectives
  • Literature Review Results
  • Literature Review Results
  • Research Agenda Core Question
  • Proposal Reviews
  • Beyond Environmental Building Certification The Impact of Environmental Interventions on Commercial Real Estate Operations
  • The Dynamics of Energy Consumption in Commercial Real Estate
  • Effect of Energy Benchmarking and Disclosure on Office Building Marketability
  • Sustainable Insights and Public Real Estate Performance GRESB Effects in REIT Markets
  • Estimating Office and Residential Building Energy Retrofit Hurdle Rates and Risk Arbitrage in Energy Efficiency Investments
  • Next Steps
  • Contact Info
Page 37: AUGUST 21- 23, 2018 • CLEVELAND, OHIO€¦ · Business Case 2.0: New Research Around High Performing Buildings Thursday 23 rd, 2018 10:30am – 12:00pm

RERIrsquos mission is to encourage and reward research on real estate as an investment and as an asset class that is both academically rigorous and of value to the institutional real estate investment profession In addition RERI serves to provide a forum through which the real estate academic professional and regulatory communities can interact facilitating the exchange of insights amongst these stakeholders

RERI Overview

Sponsors

Build upon DOErsquos Review of Studies in the Market

bull Focus explicitly on peer-reviewed papers Gap analysis of existing research to

identifybull Questions that have already been

sufficiently provenbull Holes in existing body of research

Academic Inputbull Guidance on which studies to includebull Suggestions for how to conduct analysis

Literature Review Objectives

Literature Review Results

LEED

ENER

GY

ST

AR

labe

l

ENER

GY

ST

AR

sc

ore

Ener

gy u

se

BR

EEA

M

Ener

gy

Perf

orm

anc

e Cer

tific

ates

(U

K)

BO

MA

B

EST

Wal

kabi

lity

Non

-ene

rgy

gree

n fe

atur

es

Oth

er

Rent 20 18 1 2 2 2 1 1 1Rent concessions 1 1 1Sales price 9 11 1 1 1 1Assessed value 2 2Market value 1 2 1 2 1Occupancy 10 9 1Lease renewals 1 1 1Service charge 1Operating cost 2 3Energy cost 2 3Tenant satisfaction 1 1 1Sales time 1 1Default rate 2 1Capitalization rate 1 2 2 1Net operating income 1 1 1Loan to value ratio 1 1Debt service coverage ratio 1 1Worker productivity 1 1Other 5 4 1 4 2 2

There is considerable evidence that green building certifications correlate with increased economic value primarily via higher rents and sales prices

bull How do we move beyond certification to analyze performancebull Correlation vs Causation

bull What is driving added value Is it green features and efficiency the green labels themselves or other desirable features often included in certified buildings

Panel studies could help reduce some of the uncertainty and noise Full results presented at ACEEE Summer Study

bull Raising the Rent Premium Moving Green Building Research Beyond Certifications and Rent

bull Cindy Zhu Andrew White Paul Mathew Jeff Deason Philip Coleman

Literature Review Results

Research Agenda Core QuestionldquoHow does ltenergygreen metricgt affect ltfinancial value metricgtrdquo

EnergyGreen Metric

Site energy use or EUI

Source energy use or EUI

Energy cost or costsf

ENERGY STAR score

ENERGY STAR label

Green Building Certification (LEED BOMA 360)

Green Building Certification level (eg LEED Silver Gold)

Financial Value Metric

VacancyOccupancy Sales Price

Leasing Velocity (absorption speed of sales leasing)

Regulatory amp Compliance Risk

Tenant Renewals Insurance (rates ability)

Tenant Satisfaction Default Risk

Rental Income and Rent Concessions Debt Service Coverage Ratio

Marketing Costs Access to Funding

Utility Costs Maintenance OpEx Interest Rates

Obsolescence Reserves

Capitalization Rates

12 proposals received 5 projects selected Criteria

bull Department of Energy goals

bull Impact on Commercial Real Estate (CRE) Industry

bull Feasibility and Interest

bull Quality and Validity

Proposal Reviews

Jim Clayton Avis Devine (York University) and Rogier Holtermans(University of Guelph) Analyzing four types of energy

efficiency interventions on financial components that impact property-level NOI

bull How do interventions impact different aspects of building operations and their subsequent financial impact

Beyond Environmental Building Certification The Impact of Environmental Interventions on Commercial Real Estate Operations

Piet Eichholtz and Nils Kok (Maastricht University) and RogierHoltermans (University of Guelph) Three key questions

bull How is environmental building certification related to commercial building energy consumption

bull How does aging affect the energy consumption of the commercial building stock

bull To what extent do specific energy efficiency investments affect energy consumption in commercial real estate

The Dynamics of Energy Consumption in Commercial Real Estate

Sofia Dermisi Chris Lee and YoungjinChoe (University of Washington) Exploring the effect of disclosure

policies on office building marketability while assessing potential links between market performance of sustainable assets

bull Before and after the disclosure policies while considering market cycles

bull Before and after ENERGY STAR andor LEED certification

Markets included San Francisco Washington DC

Effect of Energy Benchmarking and Disclosure on Office Building Marketability

Dirk Brounen (Tilburg University) and Gianluca Marcato (Reading University) Analyzing the adoption of GRESB within the public real estate markets and

predicting a potential impact of GRESB scores on REIT returns

Sustainable Insights and Public Real Estate Performance GRESB Effects in REIT Markets

Constantine Kontokosta (New York University) Franz Fuerst(Cambridge University) Gary Pivo (University of Arizona) amp Jacob Sagi (UNC Chapel Hill) Utilizing NYC data to empirically model

bull the spread between the premium for labeled (energy efficient) buildings and the cost to retrofit an under-performing building to meet the same standard which will allow us to understand how much of the observed premium is attributable to energy efficiency and how much can be assigned to other perceived benefits (marketing construction quality etc)

bull the hurdle rate for energy retrofit investments using actual audit data and permitted renovation work

Estimating Office and Residential Building Energy Retrofit Hurdle Rates and Risk Arbitrage in Energy Efficiency Investments

Collecting data for continued Data Lab analysis Presenting Research findings

bull Interim research results ndash IPC Research Symposium (October)bull Greenbuild Session (November)bull RERI Research Conference (April)bull Final research results ndash Better Buildings Webinars Summit 2019 (TBA)

Work with DOE case study and data analysis opportunities abound

Next Steps

Paul Mathew

Lawrence Berkeley National Laboratorypamathewlblgov

Paulo Issler

University of California Berkeleypauloisslerberkeleyedu

Erin Hopkins

Virginia Techerinz1vtedu

Andrew White

RE Tech Advisorsawhiteretechadvisorscom

Contact Info

  • Slide Number 1
  • Business Case 20 New Research Around High Performing Buildings
  • Panelists
  • Energy and Default Risk in Commercial Mortgages
  • Paulo Issler
  • Acknowledgements
  • The link between energy and CRE mortgages
  • Approach Impact of energy on default rate
  • Default risk and source EUI (cont)
  • Default risk and source EUI
  • Default risk and source EUI (cont)
  • Default risk and source EUI (cont)
  • What are the impacts on specific loans
  • Case Studies
  • Denver Office ndash energy use and default risk
  • Denver Office ndash energy price and default risk
  • Case Studies ndash summary of risks impacts
  • Case Studies ndash business impact
  • Looking Ahead
  • Looking Ahead ndash our vision
  • Recommendations
  • Slide Number 22
  • Money Matters Exploring the Financial Impacts of Green Certifications in the Multifamily Rental SectorErin A Hopkins PhD CAPS LEED Green AssociateAssistant Professor of Property Management
  • Overview of Research
  • Certifications Represented in Sample
  • Properties by City
  • Descriptive
  • Descriptive
  • Findings
  • Financial Impacts of Green
  • Discussion
  • Discussion
  • Final Thoughts
  • Slide Number 34
  • Slide Number 35
  • Context Setting ndash DOE Research Effort
  • RERI Overview
  • Literature Review Objectives
  • Literature Review Results
  • Literature Review Results
  • Research Agenda Core Question
  • Proposal Reviews
  • Beyond Environmental Building Certification The Impact of Environmental Interventions on Commercial Real Estate Operations
  • The Dynamics of Energy Consumption in Commercial Real Estate
  • Effect of Energy Benchmarking and Disclosure on Office Building Marketability
  • Sustainable Insights and Public Real Estate Performance GRESB Effects in REIT Markets
  • Estimating Office and Residential Building Energy Retrofit Hurdle Rates and Risk Arbitrage in Energy Efficiency Investments
  • Next Steps
  • Contact Info
Page 38: AUGUST 21- 23, 2018 • CLEVELAND, OHIO€¦ · Business Case 2.0: New Research Around High Performing Buildings Thursday 23 rd, 2018 10:30am – 12:00pm

Build upon DOErsquos Review of Studies in the Market

bull Focus explicitly on peer-reviewed papers Gap analysis of existing research to

identifybull Questions that have already been

sufficiently provenbull Holes in existing body of research

Academic Inputbull Guidance on which studies to includebull Suggestions for how to conduct analysis

Literature Review Objectives

Literature Review Results

LEED

ENER

GY

ST

AR

labe

l

ENER

GY

ST

AR

sc

ore

Ener

gy u

se

BR

EEA

M

Ener

gy

Perf

orm

anc

e Cer

tific

ates

(U

K)

BO

MA

B

EST

Wal

kabi

lity

Non

-ene

rgy

gree

n fe

atur

es

Oth

er

Rent 20 18 1 2 2 2 1 1 1Rent concessions 1 1 1Sales price 9 11 1 1 1 1Assessed value 2 2Market value 1 2 1 2 1Occupancy 10 9 1Lease renewals 1 1 1Service charge 1Operating cost 2 3Energy cost 2 3Tenant satisfaction 1 1 1Sales time 1 1Default rate 2 1Capitalization rate 1 2 2 1Net operating income 1 1 1Loan to value ratio 1 1Debt service coverage ratio 1 1Worker productivity 1 1Other 5 4 1 4 2 2

There is considerable evidence that green building certifications correlate with increased economic value primarily via higher rents and sales prices

bull How do we move beyond certification to analyze performancebull Correlation vs Causation

bull What is driving added value Is it green features and efficiency the green labels themselves or other desirable features often included in certified buildings

Panel studies could help reduce some of the uncertainty and noise Full results presented at ACEEE Summer Study

bull Raising the Rent Premium Moving Green Building Research Beyond Certifications and Rent

bull Cindy Zhu Andrew White Paul Mathew Jeff Deason Philip Coleman

Literature Review Results

Research Agenda Core QuestionldquoHow does ltenergygreen metricgt affect ltfinancial value metricgtrdquo

EnergyGreen Metric

Site energy use or EUI

Source energy use or EUI

Energy cost or costsf

ENERGY STAR score

ENERGY STAR label

Green Building Certification (LEED BOMA 360)

Green Building Certification level (eg LEED Silver Gold)

Financial Value Metric

VacancyOccupancy Sales Price

Leasing Velocity (absorption speed of sales leasing)

Regulatory amp Compliance Risk

Tenant Renewals Insurance (rates ability)

Tenant Satisfaction Default Risk

Rental Income and Rent Concessions Debt Service Coverage Ratio

Marketing Costs Access to Funding

Utility Costs Maintenance OpEx Interest Rates

Obsolescence Reserves

Capitalization Rates

12 proposals received 5 projects selected Criteria

bull Department of Energy goals

bull Impact on Commercial Real Estate (CRE) Industry

bull Feasibility and Interest

bull Quality and Validity

Proposal Reviews

Jim Clayton Avis Devine (York University) and Rogier Holtermans(University of Guelph) Analyzing four types of energy

efficiency interventions on financial components that impact property-level NOI

bull How do interventions impact different aspects of building operations and their subsequent financial impact

Beyond Environmental Building Certification The Impact of Environmental Interventions on Commercial Real Estate Operations

Piet Eichholtz and Nils Kok (Maastricht University) and RogierHoltermans (University of Guelph) Three key questions

bull How is environmental building certification related to commercial building energy consumption

bull How does aging affect the energy consumption of the commercial building stock

bull To what extent do specific energy efficiency investments affect energy consumption in commercial real estate

The Dynamics of Energy Consumption in Commercial Real Estate

Sofia Dermisi Chris Lee and YoungjinChoe (University of Washington) Exploring the effect of disclosure

policies on office building marketability while assessing potential links between market performance of sustainable assets

bull Before and after the disclosure policies while considering market cycles

bull Before and after ENERGY STAR andor LEED certification

Markets included San Francisco Washington DC

Effect of Energy Benchmarking and Disclosure on Office Building Marketability

Dirk Brounen (Tilburg University) and Gianluca Marcato (Reading University) Analyzing the adoption of GRESB within the public real estate markets and

predicting a potential impact of GRESB scores on REIT returns

Sustainable Insights and Public Real Estate Performance GRESB Effects in REIT Markets

Constantine Kontokosta (New York University) Franz Fuerst(Cambridge University) Gary Pivo (University of Arizona) amp Jacob Sagi (UNC Chapel Hill) Utilizing NYC data to empirically model

bull the spread between the premium for labeled (energy efficient) buildings and the cost to retrofit an under-performing building to meet the same standard which will allow us to understand how much of the observed premium is attributable to energy efficiency and how much can be assigned to other perceived benefits (marketing construction quality etc)

bull the hurdle rate for energy retrofit investments using actual audit data and permitted renovation work

Estimating Office and Residential Building Energy Retrofit Hurdle Rates and Risk Arbitrage in Energy Efficiency Investments

Collecting data for continued Data Lab analysis Presenting Research findings

bull Interim research results ndash IPC Research Symposium (October)bull Greenbuild Session (November)bull RERI Research Conference (April)bull Final research results ndash Better Buildings Webinars Summit 2019 (TBA)

Work with DOE case study and data analysis opportunities abound

Next Steps

Paul Mathew

Lawrence Berkeley National Laboratorypamathewlblgov

Paulo Issler

University of California Berkeleypauloisslerberkeleyedu

Erin Hopkins

Virginia Techerinz1vtedu

Andrew White

RE Tech Advisorsawhiteretechadvisorscom

Contact Info

  • Slide Number 1
  • Business Case 20 New Research Around High Performing Buildings
  • Panelists
  • Energy and Default Risk in Commercial Mortgages
  • Paulo Issler
  • Acknowledgements
  • The link between energy and CRE mortgages
  • Approach Impact of energy on default rate
  • Default risk and source EUI (cont)
  • Default risk and source EUI
  • Default risk and source EUI (cont)
  • Default risk and source EUI (cont)
  • What are the impacts on specific loans
  • Case Studies
  • Denver Office ndash energy use and default risk
  • Denver Office ndash energy price and default risk
  • Case Studies ndash summary of risks impacts
  • Case Studies ndash business impact
  • Looking Ahead
  • Looking Ahead ndash our vision
  • Recommendations
  • Slide Number 22
  • Money Matters Exploring the Financial Impacts of Green Certifications in the Multifamily Rental SectorErin A Hopkins PhD CAPS LEED Green AssociateAssistant Professor of Property Management
  • Overview of Research
  • Certifications Represented in Sample
  • Properties by City
  • Descriptive
  • Descriptive
  • Findings
  • Financial Impacts of Green
  • Discussion
  • Discussion
  • Final Thoughts
  • Slide Number 34
  • Slide Number 35
  • Context Setting ndash DOE Research Effort
  • RERI Overview
  • Literature Review Objectives
  • Literature Review Results
  • Literature Review Results
  • Research Agenda Core Question
  • Proposal Reviews
  • Beyond Environmental Building Certification The Impact of Environmental Interventions on Commercial Real Estate Operations
  • The Dynamics of Energy Consumption in Commercial Real Estate
  • Effect of Energy Benchmarking and Disclosure on Office Building Marketability
  • Sustainable Insights and Public Real Estate Performance GRESB Effects in REIT Markets
  • Estimating Office and Residential Building Energy Retrofit Hurdle Rates and Risk Arbitrage in Energy Efficiency Investments
  • Next Steps
  • Contact Info
Page 39: AUGUST 21- 23, 2018 • CLEVELAND, OHIO€¦ · Business Case 2.0: New Research Around High Performing Buildings Thursday 23 rd, 2018 10:30am – 12:00pm

Literature Review Results

LEED

ENER

GY

ST

AR

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l

ENER

GY

ST

AR

sc

ore

Ener

gy u

se

BR

EEA

M

Ener

gy

Perf

orm

anc

e Cer

tific

ates

(U

K)

BO

MA

B

EST

Wal

kabi

lity

Non

-ene

rgy

gree

n fe

atur

es

Oth

er

Rent 20 18 1 2 2 2 1 1 1Rent concessions 1 1 1Sales price 9 11 1 1 1 1Assessed value 2 2Market value 1 2 1 2 1Occupancy 10 9 1Lease renewals 1 1 1Service charge 1Operating cost 2 3Energy cost 2 3Tenant satisfaction 1 1 1Sales time 1 1Default rate 2 1Capitalization rate 1 2 2 1Net operating income 1 1 1Loan to value ratio 1 1Debt service coverage ratio 1 1Worker productivity 1 1Other 5 4 1 4 2 2

There is considerable evidence that green building certifications correlate with increased economic value primarily via higher rents and sales prices

bull How do we move beyond certification to analyze performancebull Correlation vs Causation

bull What is driving added value Is it green features and efficiency the green labels themselves or other desirable features often included in certified buildings

Panel studies could help reduce some of the uncertainty and noise Full results presented at ACEEE Summer Study

bull Raising the Rent Premium Moving Green Building Research Beyond Certifications and Rent

bull Cindy Zhu Andrew White Paul Mathew Jeff Deason Philip Coleman

Literature Review Results

Research Agenda Core QuestionldquoHow does ltenergygreen metricgt affect ltfinancial value metricgtrdquo

EnergyGreen Metric

Site energy use or EUI

Source energy use or EUI

Energy cost or costsf

ENERGY STAR score

ENERGY STAR label

Green Building Certification (LEED BOMA 360)

Green Building Certification level (eg LEED Silver Gold)

Financial Value Metric

VacancyOccupancy Sales Price

Leasing Velocity (absorption speed of sales leasing)

Regulatory amp Compliance Risk

Tenant Renewals Insurance (rates ability)

Tenant Satisfaction Default Risk

Rental Income and Rent Concessions Debt Service Coverage Ratio

Marketing Costs Access to Funding

Utility Costs Maintenance OpEx Interest Rates

Obsolescence Reserves

Capitalization Rates

12 proposals received 5 projects selected Criteria

bull Department of Energy goals

bull Impact on Commercial Real Estate (CRE) Industry

bull Feasibility and Interest

bull Quality and Validity

Proposal Reviews

Jim Clayton Avis Devine (York University) and Rogier Holtermans(University of Guelph) Analyzing four types of energy

efficiency interventions on financial components that impact property-level NOI

bull How do interventions impact different aspects of building operations and their subsequent financial impact

Beyond Environmental Building Certification The Impact of Environmental Interventions on Commercial Real Estate Operations

Piet Eichholtz and Nils Kok (Maastricht University) and RogierHoltermans (University of Guelph) Three key questions

bull How is environmental building certification related to commercial building energy consumption

bull How does aging affect the energy consumption of the commercial building stock

bull To what extent do specific energy efficiency investments affect energy consumption in commercial real estate

The Dynamics of Energy Consumption in Commercial Real Estate

Sofia Dermisi Chris Lee and YoungjinChoe (University of Washington) Exploring the effect of disclosure

policies on office building marketability while assessing potential links between market performance of sustainable assets

bull Before and after the disclosure policies while considering market cycles

bull Before and after ENERGY STAR andor LEED certification

Markets included San Francisco Washington DC

Effect of Energy Benchmarking and Disclosure on Office Building Marketability

Dirk Brounen (Tilburg University) and Gianluca Marcato (Reading University) Analyzing the adoption of GRESB within the public real estate markets and

predicting a potential impact of GRESB scores on REIT returns

Sustainable Insights and Public Real Estate Performance GRESB Effects in REIT Markets

Constantine Kontokosta (New York University) Franz Fuerst(Cambridge University) Gary Pivo (University of Arizona) amp Jacob Sagi (UNC Chapel Hill) Utilizing NYC data to empirically model

bull the spread between the premium for labeled (energy efficient) buildings and the cost to retrofit an under-performing building to meet the same standard which will allow us to understand how much of the observed premium is attributable to energy efficiency and how much can be assigned to other perceived benefits (marketing construction quality etc)

bull the hurdle rate for energy retrofit investments using actual audit data and permitted renovation work

Estimating Office and Residential Building Energy Retrofit Hurdle Rates and Risk Arbitrage in Energy Efficiency Investments

Collecting data for continued Data Lab analysis Presenting Research findings

bull Interim research results ndash IPC Research Symposium (October)bull Greenbuild Session (November)bull RERI Research Conference (April)bull Final research results ndash Better Buildings Webinars Summit 2019 (TBA)

Work with DOE case study and data analysis opportunities abound

Next Steps

Paul Mathew

Lawrence Berkeley National Laboratorypamathewlblgov

Paulo Issler

University of California Berkeleypauloisslerberkeleyedu

Erin Hopkins

Virginia Techerinz1vtedu

Andrew White

RE Tech Advisorsawhiteretechadvisorscom

Contact Info

  • Slide Number 1
  • Business Case 20 New Research Around High Performing Buildings
  • Panelists
  • Energy and Default Risk in Commercial Mortgages
  • Paulo Issler
  • Acknowledgements
  • The link between energy and CRE mortgages
  • Approach Impact of energy on default rate
  • Default risk and source EUI (cont)
  • Default risk and source EUI
  • Default risk and source EUI (cont)
  • Default risk and source EUI (cont)
  • What are the impacts on specific loans
  • Case Studies
  • Denver Office ndash energy use and default risk
  • Denver Office ndash energy price and default risk
  • Case Studies ndash summary of risks impacts
  • Case Studies ndash business impact
  • Looking Ahead
  • Looking Ahead ndash our vision
  • Recommendations
  • Slide Number 22
  • Money Matters Exploring the Financial Impacts of Green Certifications in the Multifamily Rental SectorErin A Hopkins PhD CAPS LEED Green AssociateAssistant Professor of Property Management
  • Overview of Research
  • Certifications Represented in Sample
  • Properties by City
  • Descriptive
  • Descriptive
  • Findings
  • Financial Impacts of Green
  • Discussion
  • Discussion
  • Final Thoughts
  • Slide Number 34
  • Slide Number 35
  • Context Setting ndash DOE Research Effort
  • RERI Overview
  • Literature Review Objectives
  • Literature Review Results
  • Literature Review Results
  • Research Agenda Core Question
  • Proposal Reviews
  • Beyond Environmental Building Certification The Impact of Environmental Interventions on Commercial Real Estate Operations
  • The Dynamics of Energy Consumption in Commercial Real Estate
  • Effect of Energy Benchmarking and Disclosure on Office Building Marketability
  • Sustainable Insights and Public Real Estate Performance GRESB Effects in REIT Markets
  • Estimating Office and Residential Building Energy Retrofit Hurdle Rates and Risk Arbitrage in Energy Efficiency Investments
  • Next Steps
  • Contact Info
Page 40: AUGUST 21- 23, 2018 • CLEVELAND, OHIO€¦ · Business Case 2.0: New Research Around High Performing Buildings Thursday 23 rd, 2018 10:30am – 12:00pm

There is considerable evidence that green building certifications correlate with increased economic value primarily via higher rents and sales prices

bull How do we move beyond certification to analyze performancebull Correlation vs Causation

bull What is driving added value Is it green features and efficiency the green labels themselves or other desirable features often included in certified buildings

Panel studies could help reduce some of the uncertainty and noise Full results presented at ACEEE Summer Study

bull Raising the Rent Premium Moving Green Building Research Beyond Certifications and Rent

bull Cindy Zhu Andrew White Paul Mathew Jeff Deason Philip Coleman

Literature Review Results

Research Agenda Core QuestionldquoHow does ltenergygreen metricgt affect ltfinancial value metricgtrdquo

EnergyGreen Metric

Site energy use or EUI

Source energy use or EUI

Energy cost or costsf

ENERGY STAR score

ENERGY STAR label

Green Building Certification (LEED BOMA 360)

Green Building Certification level (eg LEED Silver Gold)

Financial Value Metric

VacancyOccupancy Sales Price

Leasing Velocity (absorption speed of sales leasing)

Regulatory amp Compliance Risk

Tenant Renewals Insurance (rates ability)

Tenant Satisfaction Default Risk

Rental Income and Rent Concessions Debt Service Coverage Ratio

Marketing Costs Access to Funding

Utility Costs Maintenance OpEx Interest Rates

Obsolescence Reserves

Capitalization Rates

12 proposals received 5 projects selected Criteria

bull Department of Energy goals

bull Impact on Commercial Real Estate (CRE) Industry

bull Feasibility and Interest

bull Quality and Validity

Proposal Reviews

Jim Clayton Avis Devine (York University) and Rogier Holtermans(University of Guelph) Analyzing four types of energy

efficiency interventions on financial components that impact property-level NOI

bull How do interventions impact different aspects of building operations and their subsequent financial impact

Beyond Environmental Building Certification The Impact of Environmental Interventions on Commercial Real Estate Operations

Piet Eichholtz and Nils Kok (Maastricht University) and RogierHoltermans (University of Guelph) Three key questions

bull How is environmental building certification related to commercial building energy consumption

bull How does aging affect the energy consumption of the commercial building stock

bull To what extent do specific energy efficiency investments affect energy consumption in commercial real estate

The Dynamics of Energy Consumption in Commercial Real Estate

Sofia Dermisi Chris Lee and YoungjinChoe (University of Washington) Exploring the effect of disclosure

policies on office building marketability while assessing potential links between market performance of sustainable assets

bull Before and after the disclosure policies while considering market cycles

bull Before and after ENERGY STAR andor LEED certification

Markets included San Francisco Washington DC

Effect of Energy Benchmarking and Disclosure on Office Building Marketability

Dirk Brounen (Tilburg University) and Gianluca Marcato (Reading University) Analyzing the adoption of GRESB within the public real estate markets and

predicting a potential impact of GRESB scores on REIT returns

Sustainable Insights and Public Real Estate Performance GRESB Effects in REIT Markets

Constantine Kontokosta (New York University) Franz Fuerst(Cambridge University) Gary Pivo (University of Arizona) amp Jacob Sagi (UNC Chapel Hill) Utilizing NYC data to empirically model

bull the spread between the premium for labeled (energy efficient) buildings and the cost to retrofit an under-performing building to meet the same standard which will allow us to understand how much of the observed premium is attributable to energy efficiency and how much can be assigned to other perceived benefits (marketing construction quality etc)

bull the hurdle rate for energy retrofit investments using actual audit data and permitted renovation work

Estimating Office and Residential Building Energy Retrofit Hurdle Rates and Risk Arbitrage in Energy Efficiency Investments

Collecting data for continued Data Lab analysis Presenting Research findings

bull Interim research results ndash IPC Research Symposium (October)bull Greenbuild Session (November)bull RERI Research Conference (April)bull Final research results ndash Better Buildings Webinars Summit 2019 (TBA)

Work with DOE case study and data analysis opportunities abound

Next Steps

Paul Mathew

Lawrence Berkeley National Laboratorypamathewlblgov

Paulo Issler

University of California Berkeleypauloisslerberkeleyedu

Erin Hopkins

Virginia Techerinz1vtedu

Andrew White

RE Tech Advisorsawhiteretechadvisorscom

Contact Info

  • Slide Number 1
  • Business Case 20 New Research Around High Performing Buildings
  • Panelists
  • Energy and Default Risk in Commercial Mortgages
  • Paulo Issler
  • Acknowledgements
  • The link between energy and CRE mortgages
  • Approach Impact of energy on default rate
  • Default risk and source EUI (cont)
  • Default risk and source EUI
  • Default risk and source EUI (cont)
  • Default risk and source EUI (cont)
  • What are the impacts on specific loans
  • Case Studies
  • Denver Office ndash energy use and default risk
  • Denver Office ndash energy price and default risk
  • Case Studies ndash summary of risks impacts
  • Case Studies ndash business impact
  • Looking Ahead
  • Looking Ahead ndash our vision
  • Recommendations
  • Slide Number 22
  • Money Matters Exploring the Financial Impacts of Green Certifications in the Multifamily Rental SectorErin A Hopkins PhD CAPS LEED Green AssociateAssistant Professor of Property Management
  • Overview of Research
  • Certifications Represented in Sample
  • Properties by City
  • Descriptive
  • Descriptive
  • Findings
  • Financial Impacts of Green
  • Discussion
  • Discussion
  • Final Thoughts
  • Slide Number 34
  • Slide Number 35
  • Context Setting ndash DOE Research Effort
  • RERI Overview
  • Literature Review Objectives
  • Literature Review Results
  • Literature Review Results
  • Research Agenda Core Question
  • Proposal Reviews
  • Beyond Environmental Building Certification The Impact of Environmental Interventions on Commercial Real Estate Operations
  • The Dynamics of Energy Consumption in Commercial Real Estate
  • Effect of Energy Benchmarking and Disclosure on Office Building Marketability
  • Sustainable Insights and Public Real Estate Performance GRESB Effects in REIT Markets
  • Estimating Office and Residential Building Energy Retrofit Hurdle Rates and Risk Arbitrage in Energy Efficiency Investments
  • Next Steps
  • Contact Info
Page 41: AUGUST 21- 23, 2018 • CLEVELAND, OHIO€¦ · Business Case 2.0: New Research Around High Performing Buildings Thursday 23 rd, 2018 10:30am – 12:00pm

Research Agenda Core QuestionldquoHow does ltenergygreen metricgt affect ltfinancial value metricgtrdquo

EnergyGreen Metric

Site energy use or EUI

Source energy use or EUI

Energy cost or costsf

ENERGY STAR score

ENERGY STAR label

Green Building Certification (LEED BOMA 360)

Green Building Certification level (eg LEED Silver Gold)

Financial Value Metric

VacancyOccupancy Sales Price

Leasing Velocity (absorption speed of sales leasing)

Regulatory amp Compliance Risk

Tenant Renewals Insurance (rates ability)

Tenant Satisfaction Default Risk

Rental Income and Rent Concessions Debt Service Coverage Ratio

Marketing Costs Access to Funding

Utility Costs Maintenance OpEx Interest Rates

Obsolescence Reserves

Capitalization Rates

12 proposals received 5 projects selected Criteria

bull Department of Energy goals

bull Impact on Commercial Real Estate (CRE) Industry

bull Feasibility and Interest

bull Quality and Validity

Proposal Reviews

Jim Clayton Avis Devine (York University) and Rogier Holtermans(University of Guelph) Analyzing four types of energy

efficiency interventions on financial components that impact property-level NOI

bull How do interventions impact different aspects of building operations and their subsequent financial impact

Beyond Environmental Building Certification The Impact of Environmental Interventions on Commercial Real Estate Operations

Piet Eichholtz and Nils Kok (Maastricht University) and RogierHoltermans (University of Guelph) Three key questions

bull How is environmental building certification related to commercial building energy consumption

bull How does aging affect the energy consumption of the commercial building stock

bull To what extent do specific energy efficiency investments affect energy consumption in commercial real estate

The Dynamics of Energy Consumption in Commercial Real Estate

Sofia Dermisi Chris Lee and YoungjinChoe (University of Washington) Exploring the effect of disclosure

policies on office building marketability while assessing potential links between market performance of sustainable assets

bull Before and after the disclosure policies while considering market cycles

bull Before and after ENERGY STAR andor LEED certification

Markets included San Francisco Washington DC

Effect of Energy Benchmarking and Disclosure on Office Building Marketability

Dirk Brounen (Tilburg University) and Gianluca Marcato (Reading University) Analyzing the adoption of GRESB within the public real estate markets and

predicting a potential impact of GRESB scores on REIT returns

Sustainable Insights and Public Real Estate Performance GRESB Effects in REIT Markets

Constantine Kontokosta (New York University) Franz Fuerst(Cambridge University) Gary Pivo (University of Arizona) amp Jacob Sagi (UNC Chapel Hill) Utilizing NYC data to empirically model

bull the spread between the premium for labeled (energy efficient) buildings and the cost to retrofit an under-performing building to meet the same standard which will allow us to understand how much of the observed premium is attributable to energy efficiency and how much can be assigned to other perceived benefits (marketing construction quality etc)

bull the hurdle rate for energy retrofit investments using actual audit data and permitted renovation work

Estimating Office and Residential Building Energy Retrofit Hurdle Rates and Risk Arbitrage in Energy Efficiency Investments

Collecting data for continued Data Lab analysis Presenting Research findings

bull Interim research results ndash IPC Research Symposium (October)bull Greenbuild Session (November)bull RERI Research Conference (April)bull Final research results ndash Better Buildings Webinars Summit 2019 (TBA)

Work with DOE case study and data analysis opportunities abound

Next Steps

Paul Mathew

Lawrence Berkeley National Laboratorypamathewlblgov

Paulo Issler

University of California Berkeleypauloisslerberkeleyedu

Erin Hopkins

Virginia Techerinz1vtedu

Andrew White

RE Tech Advisorsawhiteretechadvisorscom

Contact Info

  • Slide Number 1
  • Business Case 20 New Research Around High Performing Buildings
  • Panelists
  • Energy and Default Risk in Commercial Mortgages
  • Paulo Issler
  • Acknowledgements
  • The link between energy and CRE mortgages
  • Approach Impact of energy on default rate
  • Default risk and source EUI (cont)
  • Default risk and source EUI
  • Default risk and source EUI (cont)
  • Default risk and source EUI (cont)
  • What are the impacts on specific loans
  • Case Studies
  • Denver Office ndash energy use and default risk
  • Denver Office ndash energy price and default risk
  • Case Studies ndash summary of risks impacts
  • Case Studies ndash business impact
  • Looking Ahead
  • Looking Ahead ndash our vision
  • Recommendations
  • Slide Number 22
  • Money Matters Exploring the Financial Impacts of Green Certifications in the Multifamily Rental SectorErin A Hopkins PhD CAPS LEED Green AssociateAssistant Professor of Property Management
  • Overview of Research
  • Certifications Represented in Sample
  • Properties by City
  • Descriptive
  • Descriptive
  • Findings
  • Financial Impacts of Green
  • Discussion
  • Discussion
  • Final Thoughts
  • Slide Number 34
  • Slide Number 35
  • Context Setting ndash DOE Research Effort
  • RERI Overview
  • Literature Review Objectives
  • Literature Review Results
  • Literature Review Results
  • Research Agenda Core Question
  • Proposal Reviews
  • Beyond Environmental Building Certification The Impact of Environmental Interventions on Commercial Real Estate Operations
  • The Dynamics of Energy Consumption in Commercial Real Estate
  • Effect of Energy Benchmarking and Disclosure on Office Building Marketability
  • Sustainable Insights and Public Real Estate Performance GRESB Effects in REIT Markets
  • Estimating Office and Residential Building Energy Retrofit Hurdle Rates and Risk Arbitrage in Energy Efficiency Investments
  • Next Steps
  • Contact Info
Page 42: AUGUST 21- 23, 2018 • CLEVELAND, OHIO€¦ · Business Case 2.0: New Research Around High Performing Buildings Thursday 23 rd, 2018 10:30am – 12:00pm

12 proposals received 5 projects selected Criteria

bull Department of Energy goals

bull Impact on Commercial Real Estate (CRE) Industry

bull Feasibility and Interest

bull Quality and Validity

Proposal Reviews

Jim Clayton Avis Devine (York University) and Rogier Holtermans(University of Guelph) Analyzing four types of energy

efficiency interventions on financial components that impact property-level NOI

bull How do interventions impact different aspects of building operations and their subsequent financial impact

Beyond Environmental Building Certification The Impact of Environmental Interventions on Commercial Real Estate Operations

Piet Eichholtz and Nils Kok (Maastricht University) and RogierHoltermans (University of Guelph) Three key questions

bull How is environmental building certification related to commercial building energy consumption

bull How does aging affect the energy consumption of the commercial building stock

bull To what extent do specific energy efficiency investments affect energy consumption in commercial real estate

The Dynamics of Energy Consumption in Commercial Real Estate

Sofia Dermisi Chris Lee and YoungjinChoe (University of Washington) Exploring the effect of disclosure

policies on office building marketability while assessing potential links between market performance of sustainable assets

bull Before and after the disclosure policies while considering market cycles

bull Before and after ENERGY STAR andor LEED certification

Markets included San Francisco Washington DC

Effect of Energy Benchmarking and Disclosure on Office Building Marketability

Dirk Brounen (Tilburg University) and Gianluca Marcato (Reading University) Analyzing the adoption of GRESB within the public real estate markets and

predicting a potential impact of GRESB scores on REIT returns

Sustainable Insights and Public Real Estate Performance GRESB Effects in REIT Markets

Constantine Kontokosta (New York University) Franz Fuerst(Cambridge University) Gary Pivo (University of Arizona) amp Jacob Sagi (UNC Chapel Hill) Utilizing NYC data to empirically model

bull the spread between the premium for labeled (energy efficient) buildings and the cost to retrofit an under-performing building to meet the same standard which will allow us to understand how much of the observed premium is attributable to energy efficiency and how much can be assigned to other perceived benefits (marketing construction quality etc)

bull the hurdle rate for energy retrofit investments using actual audit data and permitted renovation work

Estimating Office and Residential Building Energy Retrofit Hurdle Rates and Risk Arbitrage in Energy Efficiency Investments

Collecting data for continued Data Lab analysis Presenting Research findings

bull Interim research results ndash IPC Research Symposium (October)bull Greenbuild Session (November)bull RERI Research Conference (April)bull Final research results ndash Better Buildings Webinars Summit 2019 (TBA)

Work with DOE case study and data analysis opportunities abound

Next Steps

Paul Mathew

Lawrence Berkeley National Laboratorypamathewlblgov

Paulo Issler

University of California Berkeleypauloisslerberkeleyedu

Erin Hopkins

Virginia Techerinz1vtedu

Andrew White

RE Tech Advisorsawhiteretechadvisorscom

Contact Info

  • Slide Number 1
  • Business Case 20 New Research Around High Performing Buildings
  • Panelists
  • Energy and Default Risk in Commercial Mortgages
  • Paulo Issler
  • Acknowledgements
  • The link between energy and CRE mortgages
  • Approach Impact of energy on default rate
  • Default risk and source EUI (cont)
  • Default risk and source EUI
  • Default risk and source EUI (cont)
  • Default risk and source EUI (cont)
  • What are the impacts on specific loans
  • Case Studies
  • Denver Office ndash energy use and default risk
  • Denver Office ndash energy price and default risk
  • Case Studies ndash summary of risks impacts
  • Case Studies ndash business impact
  • Looking Ahead
  • Looking Ahead ndash our vision
  • Recommendations
  • Slide Number 22
  • Money Matters Exploring the Financial Impacts of Green Certifications in the Multifamily Rental SectorErin A Hopkins PhD CAPS LEED Green AssociateAssistant Professor of Property Management
  • Overview of Research
  • Certifications Represented in Sample
  • Properties by City
  • Descriptive
  • Descriptive
  • Findings
  • Financial Impacts of Green
  • Discussion
  • Discussion
  • Final Thoughts
  • Slide Number 34
  • Slide Number 35
  • Context Setting ndash DOE Research Effort
  • RERI Overview
  • Literature Review Objectives
  • Literature Review Results
  • Literature Review Results
  • Research Agenda Core Question
  • Proposal Reviews
  • Beyond Environmental Building Certification The Impact of Environmental Interventions on Commercial Real Estate Operations
  • The Dynamics of Energy Consumption in Commercial Real Estate
  • Effect of Energy Benchmarking and Disclosure on Office Building Marketability
  • Sustainable Insights and Public Real Estate Performance GRESB Effects in REIT Markets
  • Estimating Office and Residential Building Energy Retrofit Hurdle Rates and Risk Arbitrage in Energy Efficiency Investments
  • Next Steps
  • Contact Info
Page 43: AUGUST 21- 23, 2018 • CLEVELAND, OHIO€¦ · Business Case 2.0: New Research Around High Performing Buildings Thursday 23 rd, 2018 10:30am – 12:00pm

Jim Clayton Avis Devine (York University) and Rogier Holtermans(University of Guelph) Analyzing four types of energy

efficiency interventions on financial components that impact property-level NOI

bull How do interventions impact different aspects of building operations and their subsequent financial impact

Beyond Environmental Building Certification The Impact of Environmental Interventions on Commercial Real Estate Operations

Piet Eichholtz and Nils Kok (Maastricht University) and RogierHoltermans (University of Guelph) Three key questions

bull How is environmental building certification related to commercial building energy consumption

bull How does aging affect the energy consumption of the commercial building stock

bull To what extent do specific energy efficiency investments affect energy consumption in commercial real estate

The Dynamics of Energy Consumption in Commercial Real Estate

Sofia Dermisi Chris Lee and YoungjinChoe (University of Washington) Exploring the effect of disclosure

policies on office building marketability while assessing potential links between market performance of sustainable assets

bull Before and after the disclosure policies while considering market cycles

bull Before and after ENERGY STAR andor LEED certification

Markets included San Francisco Washington DC

Effect of Energy Benchmarking and Disclosure on Office Building Marketability

Dirk Brounen (Tilburg University) and Gianluca Marcato (Reading University) Analyzing the adoption of GRESB within the public real estate markets and

predicting a potential impact of GRESB scores on REIT returns

Sustainable Insights and Public Real Estate Performance GRESB Effects in REIT Markets

Constantine Kontokosta (New York University) Franz Fuerst(Cambridge University) Gary Pivo (University of Arizona) amp Jacob Sagi (UNC Chapel Hill) Utilizing NYC data to empirically model

bull the spread between the premium for labeled (energy efficient) buildings and the cost to retrofit an under-performing building to meet the same standard which will allow us to understand how much of the observed premium is attributable to energy efficiency and how much can be assigned to other perceived benefits (marketing construction quality etc)

bull the hurdle rate for energy retrofit investments using actual audit data and permitted renovation work

Estimating Office and Residential Building Energy Retrofit Hurdle Rates and Risk Arbitrage in Energy Efficiency Investments

Collecting data for continued Data Lab analysis Presenting Research findings

bull Interim research results ndash IPC Research Symposium (October)bull Greenbuild Session (November)bull RERI Research Conference (April)bull Final research results ndash Better Buildings Webinars Summit 2019 (TBA)

Work with DOE case study and data analysis opportunities abound

Next Steps

Paul Mathew

Lawrence Berkeley National Laboratorypamathewlblgov

Paulo Issler

University of California Berkeleypauloisslerberkeleyedu

Erin Hopkins

Virginia Techerinz1vtedu

Andrew White

RE Tech Advisorsawhiteretechadvisorscom

Contact Info

  • Slide Number 1
  • Business Case 20 New Research Around High Performing Buildings
  • Panelists
  • Energy and Default Risk in Commercial Mortgages
  • Paulo Issler
  • Acknowledgements
  • The link between energy and CRE mortgages
  • Approach Impact of energy on default rate
  • Default risk and source EUI (cont)
  • Default risk and source EUI
  • Default risk and source EUI (cont)
  • Default risk and source EUI (cont)
  • What are the impacts on specific loans
  • Case Studies
  • Denver Office ndash energy use and default risk
  • Denver Office ndash energy price and default risk
  • Case Studies ndash summary of risks impacts
  • Case Studies ndash business impact
  • Looking Ahead
  • Looking Ahead ndash our vision
  • Recommendations
  • Slide Number 22
  • Money Matters Exploring the Financial Impacts of Green Certifications in the Multifamily Rental SectorErin A Hopkins PhD CAPS LEED Green AssociateAssistant Professor of Property Management
  • Overview of Research
  • Certifications Represented in Sample
  • Properties by City
  • Descriptive
  • Descriptive
  • Findings
  • Financial Impacts of Green
  • Discussion
  • Discussion
  • Final Thoughts
  • Slide Number 34
  • Slide Number 35
  • Context Setting ndash DOE Research Effort
  • RERI Overview
  • Literature Review Objectives
  • Literature Review Results
  • Literature Review Results
  • Research Agenda Core Question
  • Proposal Reviews
  • Beyond Environmental Building Certification The Impact of Environmental Interventions on Commercial Real Estate Operations
  • The Dynamics of Energy Consumption in Commercial Real Estate
  • Effect of Energy Benchmarking and Disclosure on Office Building Marketability
  • Sustainable Insights and Public Real Estate Performance GRESB Effects in REIT Markets
  • Estimating Office and Residential Building Energy Retrofit Hurdle Rates and Risk Arbitrage in Energy Efficiency Investments
  • Next Steps
  • Contact Info
Page 44: AUGUST 21- 23, 2018 • CLEVELAND, OHIO€¦ · Business Case 2.0: New Research Around High Performing Buildings Thursday 23 rd, 2018 10:30am – 12:00pm

Piet Eichholtz and Nils Kok (Maastricht University) and RogierHoltermans (University of Guelph) Three key questions

bull How is environmental building certification related to commercial building energy consumption

bull How does aging affect the energy consumption of the commercial building stock

bull To what extent do specific energy efficiency investments affect energy consumption in commercial real estate

The Dynamics of Energy Consumption in Commercial Real Estate

Sofia Dermisi Chris Lee and YoungjinChoe (University of Washington) Exploring the effect of disclosure

policies on office building marketability while assessing potential links between market performance of sustainable assets

bull Before and after the disclosure policies while considering market cycles

bull Before and after ENERGY STAR andor LEED certification

Markets included San Francisco Washington DC

Effect of Energy Benchmarking and Disclosure on Office Building Marketability

Dirk Brounen (Tilburg University) and Gianluca Marcato (Reading University) Analyzing the adoption of GRESB within the public real estate markets and

predicting a potential impact of GRESB scores on REIT returns

Sustainable Insights and Public Real Estate Performance GRESB Effects in REIT Markets

Constantine Kontokosta (New York University) Franz Fuerst(Cambridge University) Gary Pivo (University of Arizona) amp Jacob Sagi (UNC Chapel Hill) Utilizing NYC data to empirically model

bull the spread between the premium for labeled (energy efficient) buildings and the cost to retrofit an under-performing building to meet the same standard which will allow us to understand how much of the observed premium is attributable to energy efficiency and how much can be assigned to other perceived benefits (marketing construction quality etc)

bull the hurdle rate for energy retrofit investments using actual audit data and permitted renovation work

Estimating Office and Residential Building Energy Retrofit Hurdle Rates and Risk Arbitrage in Energy Efficiency Investments

Collecting data for continued Data Lab analysis Presenting Research findings

bull Interim research results ndash IPC Research Symposium (October)bull Greenbuild Session (November)bull RERI Research Conference (April)bull Final research results ndash Better Buildings Webinars Summit 2019 (TBA)

Work with DOE case study and data analysis opportunities abound

Next Steps

Paul Mathew

Lawrence Berkeley National Laboratorypamathewlblgov

Paulo Issler

University of California Berkeleypauloisslerberkeleyedu

Erin Hopkins

Virginia Techerinz1vtedu

Andrew White

RE Tech Advisorsawhiteretechadvisorscom

Contact Info

  • Slide Number 1
  • Business Case 20 New Research Around High Performing Buildings
  • Panelists
  • Energy and Default Risk in Commercial Mortgages
  • Paulo Issler
  • Acknowledgements
  • The link between energy and CRE mortgages
  • Approach Impact of energy on default rate
  • Default risk and source EUI (cont)
  • Default risk and source EUI
  • Default risk and source EUI (cont)
  • Default risk and source EUI (cont)
  • What are the impacts on specific loans
  • Case Studies
  • Denver Office ndash energy use and default risk
  • Denver Office ndash energy price and default risk
  • Case Studies ndash summary of risks impacts
  • Case Studies ndash business impact
  • Looking Ahead
  • Looking Ahead ndash our vision
  • Recommendations
  • Slide Number 22
  • Money Matters Exploring the Financial Impacts of Green Certifications in the Multifamily Rental SectorErin A Hopkins PhD CAPS LEED Green AssociateAssistant Professor of Property Management
  • Overview of Research
  • Certifications Represented in Sample
  • Properties by City
  • Descriptive
  • Descriptive
  • Findings
  • Financial Impacts of Green
  • Discussion
  • Discussion
  • Final Thoughts
  • Slide Number 34
  • Slide Number 35
  • Context Setting ndash DOE Research Effort
  • RERI Overview
  • Literature Review Objectives
  • Literature Review Results
  • Literature Review Results
  • Research Agenda Core Question
  • Proposal Reviews
  • Beyond Environmental Building Certification The Impact of Environmental Interventions on Commercial Real Estate Operations
  • The Dynamics of Energy Consumption in Commercial Real Estate
  • Effect of Energy Benchmarking and Disclosure on Office Building Marketability
  • Sustainable Insights and Public Real Estate Performance GRESB Effects in REIT Markets
  • Estimating Office and Residential Building Energy Retrofit Hurdle Rates and Risk Arbitrage in Energy Efficiency Investments
  • Next Steps
  • Contact Info
Page 45: AUGUST 21- 23, 2018 • CLEVELAND, OHIO€¦ · Business Case 2.0: New Research Around High Performing Buildings Thursday 23 rd, 2018 10:30am – 12:00pm

Sofia Dermisi Chris Lee and YoungjinChoe (University of Washington) Exploring the effect of disclosure

policies on office building marketability while assessing potential links between market performance of sustainable assets

bull Before and after the disclosure policies while considering market cycles

bull Before and after ENERGY STAR andor LEED certification

Markets included San Francisco Washington DC

Effect of Energy Benchmarking and Disclosure on Office Building Marketability

Dirk Brounen (Tilburg University) and Gianluca Marcato (Reading University) Analyzing the adoption of GRESB within the public real estate markets and

predicting a potential impact of GRESB scores on REIT returns

Sustainable Insights and Public Real Estate Performance GRESB Effects in REIT Markets

Constantine Kontokosta (New York University) Franz Fuerst(Cambridge University) Gary Pivo (University of Arizona) amp Jacob Sagi (UNC Chapel Hill) Utilizing NYC data to empirically model

bull the spread between the premium for labeled (energy efficient) buildings and the cost to retrofit an under-performing building to meet the same standard which will allow us to understand how much of the observed premium is attributable to energy efficiency and how much can be assigned to other perceived benefits (marketing construction quality etc)

bull the hurdle rate for energy retrofit investments using actual audit data and permitted renovation work

Estimating Office and Residential Building Energy Retrofit Hurdle Rates and Risk Arbitrage in Energy Efficiency Investments

Collecting data for continued Data Lab analysis Presenting Research findings

bull Interim research results ndash IPC Research Symposium (October)bull Greenbuild Session (November)bull RERI Research Conference (April)bull Final research results ndash Better Buildings Webinars Summit 2019 (TBA)

Work with DOE case study and data analysis opportunities abound

Next Steps

Paul Mathew

Lawrence Berkeley National Laboratorypamathewlblgov

Paulo Issler

University of California Berkeleypauloisslerberkeleyedu

Erin Hopkins

Virginia Techerinz1vtedu

Andrew White

RE Tech Advisorsawhiteretechadvisorscom

Contact Info

  • Slide Number 1
  • Business Case 20 New Research Around High Performing Buildings
  • Panelists
  • Energy and Default Risk in Commercial Mortgages
  • Paulo Issler
  • Acknowledgements
  • The link between energy and CRE mortgages
  • Approach Impact of energy on default rate
  • Default risk and source EUI (cont)
  • Default risk and source EUI
  • Default risk and source EUI (cont)
  • Default risk and source EUI (cont)
  • What are the impacts on specific loans
  • Case Studies
  • Denver Office ndash energy use and default risk
  • Denver Office ndash energy price and default risk
  • Case Studies ndash summary of risks impacts
  • Case Studies ndash business impact
  • Looking Ahead
  • Looking Ahead ndash our vision
  • Recommendations
  • Slide Number 22
  • Money Matters Exploring the Financial Impacts of Green Certifications in the Multifamily Rental SectorErin A Hopkins PhD CAPS LEED Green AssociateAssistant Professor of Property Management
  • Overview of Research
  • Certifications Represented in Sample
  • Properties by City
  • Descriptive
  • Descriptive
  • Findings
  • Financial Impacts of Green
  • Discussion
  • Discussion
  • Final Thoughts
  • Slide Number 34
  • Slide Number 35
  • Context Setting ndash DOE Research Effort
  • RERI Overview
  • Literature Review Objectives
  • Literature Review Results
  • Literature Review Results
  • Research Agenda Core Question
  • Proposal Reviews
  • Beyond Environmental Building Certification The Impact of Environmental Interventions on Commercial Real Estate Operations
  • The Dynamics of Energy Consumption in Commercial Real Estate
  • Effect of Energy Benchmarking and Disclosure on Office Building Marketability
  • Sustainable Insights and Public Real Estate Performance GRESB Effects in REIT Markets
  • Estimating Office and Residential Building Energy Retrofit Hurdle Rates and Risk Arbitrage in Energy Efficiency Investments
  • Next Steps
  • Contact Info
Page 46: AUGUST 21- 23, 2018 • CLEVELAND, OHIO€¦ · Business Case 2.0: New Research Around High Performing Buildings Thursday 23 rd, 2018 10:30am – 12:00pm

Dirk Brounen (Tilburg University) and Gianluca Marcato (Reading University) Analyzing the adoption of GRESB within the public real estate markets and

predicting a potential impact of GRESB scores on REIT returns

Sustainable Insights and Public Real Estate Performance GRESB Effects in REIT Markets

Constantine Kontokosta (New York University) Franz Fuerst(Cambridge University) Gary Pivo (University of Arizona) amp Jacob Sagi (UNC Chapel Hill) Utilizing NYC data to empirically model

bull the spread between the premium for labeled (energy efficient) buildings and the cost to retrofit an under-performing building to meet the same standard which will allow us to understand how much of the observed premium is attributable to energy efficiency and how much can be assigned to other perceived benefits (marketing construction quality etc)

bull the hurdle rate for energy retrofit investments using actual audit data and permitted renovation work

Estimating Office and Residential Building Energy Retrofit Hurdle Rates and Risk Arbitrage in Energy Efficiency Investments

Collecting data for continued Data Lab analysis Presenting Research findings

bull Interim research results ndash IPC Research Symposium (October)bull Greenbuild Session (November)bull RERI Research Conference (April)bull Final research results ndash Better Buildings Webinars Summit 2019 (TBA)

Work with DOE case study and data analysis opportunities abound

Next Steps

Paul Mathew

Lawrence Berkeley National Laboratorypamathewlblgov

Paulo Issler

University of California Berkeleypauloisslerberkeleyedu

Erin Hopkins

Virginia Techerinz1vtedu

Andrew White

RE Tech Advisorsawhiteretechadvisorscom

Contact Info

  • Slide Number 1
  • Business Case 20 New Research Around High Performing Buildings
  • Panelists
  • Energy and Default Risk in Commercial Mortgages
  • Paulo Issler
  • Acknowledgements
  • The link between energy and CRE mortgages
  • Approach Impact of energy on default rate
  • Default risk and source EUI (cont)
  • Default risk and source EUI
  • Default risk and source EUI (cont)
  • Default risk and source EUI (cont)
  • What are the impacts on specific loans
  • Case Studies
  • Denver Office ndash energy use and default risk
  • Denver Office ndash energy price and default risk
  • Case Studies ndash summary of risks impacts
  • Case Studies ndash business impact
  • Looking Ahead
  • Looking Ahead ndash our vision
  • Recommendations
  • Slide Number 22
  • Money Matters Exploring the Financial Impacts of Green Certifications in the Multifamily Rental SectorErin A Hopkins PhD CAPS LEED Green AssociateAssistant Professor of Property Management
  • Overview of Research
  • Certifications Represented in Sample
  • Properties by City
  • Descriptive
  • Descriptive
  • Findings
  • Financial Impacts of Green
  • Discussion
  • Discussion
  • Final Thoughts
  • Slide Number 34
  • Slide Number 35
  • Context Setting ndash DOE Research Effort
  • RERI Overview
  • Literature Review Objectives
  • Literature Review Results
  • Literature Review Results
  • Research Agenda Core Question
  • Proposal Reviews
  • Beyond Environmental Building Certification The Impact of Environmental Interventions on Commercial Real Estate Operations
  • The Dynamics of Energy Consumption in Commercial Real Estate
  • Effect of Energy Benchmarking and Disclosure on Office Building Marketability
  • Sustainable Insights and Public Real Estate Performance GRESB Effects in REIT Markets
  • Estimating Office and Residential Building Energy Retrofit Hurdle Rates and Risk Arbitrage in Energy Efficiency Investments
  • Next Steps
  • Contact Info
Page 47: AUGUST 21- 23, 2018 • CLEVELAND, OHIO€¦ · Business Case 2.0: New Research Around High Performing Buildings Thursday 23 rd, 2018 10:30am – 12:00pm

Constantine Kontokosta (New York University) Franz Fuerst(Cambridge University) Gary Pivo (University of Arizona) amp Jacob Sagi (UNC Chapel Hill) Utilizing NYC data to empirically model

bull the spread between the premium for labeled (energy efficient) buildings and the cost to retrofit an under-performing building to meet the same standard which will allow us to understand how much of the observed premium is attributable to energy efficiency and how much can be assigned to other perceived benefits (marketing construction quality etc)

bull the hurdle rate for energy retrofit investments using actual audit data and permitted renovation work

Estimating Office and Residential Building Energy Retrofit Hurdle Rates and Risk Arbitrage in Energy Efficiency Investments

Collecting data for continued Data Lab analysis Presenting Research findings

bull Interim research results ndash IPC Research Symposium (October)bull Greenbuild Session (November)bull RERI Research Conference (April)bull Final research results ndash Better Buildings Webinars Summit 2019 (TBA)

Work with DOE case study and data analysis opportunities abound

Next Steps

Paul Mathew

Lawrence Berkeley National Laboratorypamathewlblgov

Paulo Issler

University of California Berkeleypauloisslerberkeleyedu

Erin Hopkins

Virginia Techerinz1vtedu

Andrew White

RE Tech Advisorsawhiteretechadvisorscom

Contact Info

  • Slide Number 1
  • Business Case 20 New Research Around High Performing Buildings
  • Panelists
  • Energy and Default Risk in Commercial Mortgages
  • Paulo Issler
  • Acknowledgements
  • The link between energy and CRE mortgages
  • Approach Impact of energy on default rate
  • Default risk and source EUI (cont)
  • Default risk and source EUI
  • Default risk and source EUI (cont)
  • Default risk and source EUI (cont)
  • What are the impacts on specific loans
  • Case Studies
  • Denver Office ndash energy use and default risk
  • Denver Office ndash energy price and default risk
  • Case Studies ndash summary of risks impacts
  • Case Studies ndash business impact
  • Looking Ahead
  • Looking Ahead ndash our vision
  • Recommendations
  • Slide Number 22
  • Money Matters Exploring the Financial Impacts of Green Certifications in the Multifamily Rental SectorErin A Hopkins PhD CAPS LEED Green AssociateAssistant Professor of Property Management
  • Overview of Research
  • Certifications Represented in Sample
  • Properties by City
  • Descriptive
  • Descriptive
  • Findings
  • Financial Impacts of Green
  • Discussion
  • Discussion
  • Final Thoughts
  • Slide Number 34
  • Slide Number 35
  • Context Setting ndash DOE Research Effort
  • RERI Overview
  • Literature Review Objectives
  • Literature Review Results
  • Literature Review Results
  • Research Agenda Core Question
  • Proposal Reviews
  • Beyond Environmental Building Certification The Impact of Environmental Interventions on Commercial Real Estate Operations
  • The Dynamics of Energy Consumption in Commercial Real Estate
  • Effect of Energy Benchmarking and Disclosure on Office Building Marketability
  • Sustainable Insights and Public Real Estate Performance GRESB Effects in REIT Markets
  • Estimating Office and Residential Building Energy Retrofit Hurdle Rates and Risk Arbitrage in Energy Efficiency Investments
  • Next Steps
  • Contact Info
Page 48: AUGUST 21- 23, 2018 • CLEVELAND, OHIO€¦ · Business Case 2.0: New Research Around High Performing Buildings Thursday 23 rd, 2018 10:30am – 12:00pm

Collecting data for continued Data Lab analysis Presenting Research findings

bull Interim research results ndash IPC Research Symposium (October)bull Greenbuild Session (November)bull RERI Research Conference (April)bull Final research results ndash Better Buildings Webinars Summit 2019 (TBA)

Work with DOE case study and data analysis opportunities abound

Next Steps

Paul Mathew

Lawrence Berkeley National Laboratorypamathewlblgov

Paulo Issler

University of California Berkeleypauloisslerberkeleyedu

Erin Hopkins

Virginia Techerinz1vtedu

Andrew White

RE Tech Advisorsawhiteretechadvisorscom

Contact Info

  • Slide Number 1
  • Business Case 20 New Research Around High Performing Buildings
  • Panelists
  • Energy and Default Risk in Commercial Mortgages
  • Paulo Issler
  • Acknowledgements
  • The link between energy and CRE mortgages
  • Approach Impact of energy on default rate
  • Default risk and source EUI (cont)
  • Default risk and source EUI
  • Default risk and source EUI (cont)
  • Default risk and source EUI (cont)
  • What are the impacts on specific loans
  • Case Studies
  • Denver Office ndash energy use and default risk
  • Denver Office ndash energy price and default risk
  • Case Studies ndash summary of risks impacts
  • Case Studies ndash business impact
  • Looking Ahead
  • Looking Ahead ndash our vision
  • Recommendations
  • Slide Number 22
  • Money Matters Exploring the Financial Impacts of Green Certifications in the Multifamily Rental SectorErin A Hopkins PhD CAPS LEED Green AssociateAssistant Professor of Property Management
  • Overview of Research
  • Certifications Represented in Sample
  • Properties by City
  • Descriptive
  • Descriptive
  • Findings
  • Financial Impacts of Green
  • Discussion
  • Discussion
  • Final Thoughts
  • Slide Number 34
  • Slide Number 35
  • Context Setting ndash DOE Research Effort
  • RERI Overview
  • Literature Review Objectives
  • Literature Review Results
  • Literature Review Results
  • Research Agenda Core Question
  • Proposal Reviews
  • Beyond Environmental Building Certification The Impact of Environmental Interventions on Commercial Real Estate Operations
  • The Dynamics of Energy Consumption in Commercial Real Estate
  • Effect of Energy Benchmarking and Disclosure on Office Building Marketability
  • Sustainable Insights and Public Real Estate Performance GRESB Effects in REIT Markets
  • Estimating Office and Residential Building Energy Retrofit Hurdle Rates and Risk Arbitrage in Energy Efficiency Investments
  • Next Steps
  • Contact Info
Page 49: AUGUST 21- 23, 2018 • CLEVELAND, OHIO€¦ · Business Case 2.0: New Research Around High Performing Buildings Thursday 23 rd, 2018 10:30am – 12:00pm

Paul Mathew

Lawrence Berkeley National Laboratorypamathewlblgov

Paulo Issler

University of California Berkeleypauloisslerberkeleyedu

Erin Hopkins

Virginia Techerinz1vtedu

Andrew White

RE Tech Advisorsawhiteretechadvisorscom

Contact Info

  • Slide Number 1
  • Business Case 20 New Research Around High Performing Buildings
  • Panelists
  • Energy and Default Risk in Commercial Mortgages
  • Paulo Issler
  • Acknowledgements
  • The link between energy and CRE mortgages
  • Approach Impact of energy on default rate
  • Default risk and source EUI (cont)
  • Default risk and source EUI
  • Default risk and source EUI (cont)
  • Default risk and source EUI (cont)
  • What are the impacts on specific loans
  • Case Studies
  • Denver Office ndash energy use and default risk
  • Denver Office ndash energy price and default risk
  • Case Studies ndash summary of risks impacts
  • Case Studies ndash business impact
  • Looking Ahead
  • Looking Ahead ndash our vision
  • Recommendations
  • Slide Number 22
  • Money Matters Exploring the Financial Impacts of Green Certifications in the Multifamily Rental SectorErin A Hopkins PhD CAPS LEED Green AssociateAssistant Professor of Property Management
  • Overview of Research
  • Certifications Represented in Sample
  • Properties by City
  • Descriptive
  • Descriptive
  • Findings
  • Financial Impacts of Green
  • Discussion
  • Discussion
  • Final Thoughts
  • Slide Number 34
  • Slide Number 35
  • Context Setting ndash DOE Research Effort
  • RERI Overview
  • Literature Review Objectives
  • Literature Review Results
  • Literature Review Results
  • Research Agenda Core Question
  • Proposal Reviews
  • Beyond Environmental Building Certification The Impact of Environmental Interventions on Commercial Real Estate Operations
  • The Dynamics of Energy Consumption in Commercial Real Estate
  • Effect of Energy Benchmarking and Disclosure on Office Building Marketability
  • Sustainable Insights and Public Real Estate Performance GRESB Effects in REIT Markets
  • Estimating Office and Residential Building Energy Retrofit Hurdle Rates and Risk Arbitrage in Energy Efficiency Investments
  • Next Steps
  • Contact Info

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