Economic and Housing Market Trends
Gay Cororaton Senior Economist and Director of Housing & Commercial Research
National Association of REALTORS® January 16, 2020
Decade-long growth slowed in 2019
3.2
-3.0
-2.0
-1.0
0.0
1.0
2.0
3.0
4.0
5.0
2007
2008
2009
2010
2011
2012
2013
2014
2015
2016
2017
2018
2019
Q1
2019
Q2
2019
Q3
GDP
Source: BEA
Business investment contracts, but consumer spending still strong
-6.3-1.0
-25.0-20.0-15.0-10.0
-5.00.05.0
10.015.020.020
05
2006
2007
2008
2009
2010
2011
2012
2013
2014
2015
2016
2017
2018
2019
Q1
2019
Q2
2019
Q3
Private Consumption Gross Domestic Investment
Source: BEA
Non-residential investment falls while residential investment recovered in 2019 Q3
-1.0 -2.3
-30.0-25.0-20.0-15.0-10.0
-5.00.05.0
10.015.0
2007
2008
2009
2010
2011
2012
2013
2014
2015
2016
2017
2018
2019
Q1
2019
Q2
2019
Q3
Real Private Nonresidential Fixed Investment (%Chg) Real Private Residential Investment (%Chg)
Source: BEA
Slower export and import growth in 2019 as tariff war escalated
-5.7
1.0
-15.0
-10.0
-5.0
0.0
5.0
10.0
15.0
2007
2008
2009
2010
2011
2012
2013
2014
2015
2016
2017
2018
2019
Q1
2019
Q2
2019
Q3
Real Exports of Goods & Services (%Chg)
Real Imports of Goods & Services (%Chg)
Source: BEA
Oregon is growing faster than the U.S.
2.1
2.4
-8.0-6.0-4.0-2.00.02.04.06.08.0
Q1/
2006
Q3/
2006
Q1/
2007
Q3/
2007
Q1/
2008
Q3/
2008
Q1/
2009
Q3/
2009
Q1/
2010
Q3/
2010
Q1/
2011
Q3/
2011
Q1/
2012
Q3/
2012
Q1/
2013
Q3/
2013
Q1/
2014
Q3/
2014
Q1/
2015
Q3/
2015
Q1/
2016
Q3/
2016
Q1/
2017
Q3/
2017
Q1/
2018
Q3/
2018
Q1/
2019
Q3/
2019
GDP Growth RateUS OR
Strong job growth (2.2 Mil) with lowest unemployment rate (3.5%) since 1951
0.0
2.0
4.0
6.0
8.0
10.0
12.0
-8000
-6000
-4000
-2000
0
2000
4000
2006
-Jan
2006
-Jul
2007
-Jan
2007
-Jul
2008
-Jan
2008
-Jul
2009
-Jan
2009
-Jul
2010
-Jan
2010
-Jul
2011
-Jan
2011
-Jul
2012
-Jan
2012
-Jul
2013
-Jan
2013
-Jul
2014
-Jan
2014
-Jul
2015
-Jan
2015
-Jul
2016
-Jan
2016
-Jul
2017
-Jan
2017
-Jul
2018
-Jan
2018
-Jul
2019
-Jan
2019
-Jul
12-Month Payroll Change ('000) Unemployment Rate
Source: BLS
Job gains except in utilities and mining (y/y as of Dec 2019)
-22.0-2.0
15.318
506471
122143.0
158400401
645
Mining/LoggingUtilities
Retail TradeInformation
ManufacturingWholesale Trade
Transportation/WarehousingFinancial and Real Estate Activities
ConstructionGovernment
Prof./Bus. ServicesLeisure/Hospitality
Educ./Health
Annual Change in Payroll Employment as of December 2019 (in thousands)
Source: BLS
1.5 million more job openings than job-seekers
5753
7267
02000400060008000
1000012000140001600018000
Dec/
2000
Jul/2
001
Feb/
2002
Sep/
2002
Apr/
2003
Nov
/200
3Ju
n/20
04Ja
n/20
05Au
g/20
05M
ar/2
006
Oct
/200
6M
ay/2
007
Dec/
2007
Jul/2
008
Feb/
2009
Sep/
2009
Apr/
2010
Nov
/201
0Ju
n/20
11Ja
n/20
12Au
g/20
12M
ar/2
013
Oct
/201
3M
ay/2
014
Dec/
2014
Jul/2
015
Feb/
2016
Sep/
2016
Apr/
2017
Nov
/201
7Ju
n/20
18Ja
n/20
19Au
g/20
19
Unemployed, 16 Years & Over (SA, Thous) JOLTS: Job Openings: Total (EOP, SA, Thous)
Oregon’s job growth is picking up compared to U.S
1.411.93
0.000.501.001.502.002.503.003.504.00
Jan/
2012
Apr/
2012
Jul/2
012
Oct
/201
2Ja
n/20
13Ap
r/20
13Ju
l/201
3O
ct/2
013
Jan/
2014
Apr/
2014
Jul/2
014
Oct
/201
4Ja
n/20
15Ap
r/20
15Ju
l/201
5O
ct/2
015
Jan/
2016
Apr/
2016
Jul/2
016
Oct
/201
6Ja
n/20
17Ap
r/20
17Ju
l/201
7O
ct/2
017
Jan/
2018
Apr/
2018
Jul/2
018
Oct
/201
8Ja
n/20
19Ap
r/20
19Ju
l/201
9O
ct/2
019
US OR
Oregon: 37,200 net new jobs in past 12 months
Jobs created by metro area
Oregon benefiting from CA movers
Mortgage rates fell in 2019 as FOMC cut rates by 0.75% amid global economic risks
1.75
3.72
0.001.002.003.004.005.006.007.008.009.00
Jan/
2000
Aug/
2000
Mar
/200
1O
ct/2
001
May
/200
2De
c/20
02Ju
l/200
3Fe
b/20
04Se
p/20
04Ap
r/20
05No
v/20
05Ju
n/20
06Ja
n/20
07Au
g/20
07M
ar/2
008
Oct
/200
8M
ay/2
009
Dec/
2009
Jul/2
010
Feb/
2011
Sep/
2011
Apr/
2012
Nov/
2012
Jun/
2013
Jan/
2014
Aug/
2014
Mar
/201
5O
ct/2
015
May
/201
6De
c/20
16Ju
l/201
7Fe
b/20
18Se
p/20
18Ap
r/20
19No
v/20
19
Federal Open Market Committee: Fed Funds Target Rate: Upper Limit (EOP, %)FHLMC: 30-Year Fixed-Rate Mortgages: U.S. (%)
Source: FRB, Freddie Mac
Existing home sales and prices rebounded in 2019
5.40
-4.00-2.000.002.004.006.008.0010.0012.0014.0016.00
-15.00-10.00
-5.000.005.00
10.0015.0020.00
Jan/
2012
Apr/
2012
Jul/2
012
Oct
/201
2Ja
n/20
13Ap
r/20
13Ju
l/201
3O
ct/2
013
Jan/
2014
Apr/
2014
Jul/2
014
Oct
/201
4Ja
n/20
15Ap
r/20
15Ju
l/201
5O
ct/2
015
Jan/
2016
Apr/
2016
Jul/2
016
Oct
/201
6Ja
n/20
17Ap
r/20
17Ju
l/201
7O
ct/2
017
Jan/
2018
Apr/
2018
Jul/2
018
Oct
/201
8Ja
n/20
19Ap
r/20
19Ju
l/201
9O
ct/2
019
NAR Total Existing Home Sales, United States (SAAR, Units) % Change - Year to YearNAR Median Sales Price: Total Existing Homes, United States ($) % Change - Year to Year
Housing starts steadily improving but still inadequate relative to household formation
14101243
500700900
11001300150017001900
Jan/
2012
Apr/
2012
Jul/2
012
Oct
/201
2Ja
n/20
13Ap
r/20
13Ju
l/201
3O
ct/2
013
Jan/
2014
Apr/
2014
Jul/2
014
Oct
/201
4Ja
n/20
15Ap
r/20
15Ju
l/201
5O
ct/2
015
Jan/
2016
Apr/
2016
Jul/2
016
Oct
/201
6Ja
n/20
17Ap
r/20
17Ju
l/201
7O
ct/2
017
Jan/
2018
Apr/
2018
Jul/2
018
Oct
/201
8Ja
n/20
19Ap
r/20
19Ju
l/201
9
Annual Net HH Formation Housing Starts, SAAR
Housing permits not keeping pace with new jobs in many metro areas (ratio > 2)
Months’ supply remains low in many metro areas
Lack of affordable homes at <$500K and <$1 M in the West
5.5
2.8 2.6 2.93.8
6.6
3.14.5
3.4 4.0 4.86.4
9.7
4.1
02468
10121416
$0-100,000 $100,000-250,000 $250,000-500,000 $500,000-750,000 $750,000-1,000,000 $1,000,000+ ALL RANGES
Months' Supply of Existing Home SalesNortheast Midwest South West U.S.
Home price appreciation at ~4X than wage growth since 2012
5.4%
3.1%
-20.0%-15.0%-10.0%
-5.0%0.0%5.0%
10.0%15.0%20.0%
Mar
/200
7Au
g/20
07Ja
n/20
08Ju
n/20
08N
ov/2
008
Apr/
2009
Sep/
2009
Feb/
2010
Jul/2
010
Dec/
2010
May
/201
1O
ct/2
011
Mar
/201
2Au
g/20
12Ja
n/20
13Ju
n/20
13N
ov/2
013
Apr/
2014
Sep/
2014
Feb/
2015
Jul/2
015
Dec/
2015
May
/201
6O
ct/2
016
Mar
/201
7Au
g/20
17Ja
n/20
18Ju
n/20
18N
ov/2
018
Apr/
2019
Sep/
2019
Y/Y NAR Median Price Y/Y Average Weekly Wage
Sources of data: NAR, BLS
Oregon: Home price appreciation moderating but still growing 2x wage growth (~5x since 2012)
2.634.41
-4.00-2.000.002.004.006.008.00
10.0012.00
Q1/
2012
Q2/
2012
Q3/
2012
Q4/
2012
Q1/
2013
Q2/
2013
Q3/
2013
Q4/
2013
Q1/
2014
Q2/
2014
Q3/
2014
Q4/
2014
Q1/
2015
Q2/
2015
Q3/
2015
Q4/
2015
Q1/
2016
Q2/
2016
Q3/
2016
Q4/
2016
Q1/
2017
Q2/
2017
Q3/
2017
Q4/
2017
Q1/
2018
Q2/
2018
Q3/
2018
Q4/
2018
Q1/
2019
Q2/
2019
Q3/
2019
Oregon: Y/Y Percent Change Home Prices vs. Wage Growth as of 2019 Q3Weekly Wage Growth House Prices
Based on FHFA House Price Index
Home prices rising faster than income in many metro areas (ratio >1)
Less than 50% of affordable inventory available for households at 50% income percentile
Rental vacancy rates are below 8% in several metro areas
49.7% of Renter HH spent more than 30% of income on rent in 2018
Steady But Modest Gain in First-time Homebuyer Share Since 2015
45%
39%33% 32%
29% 29% 30% 32% 32% 31% 32%
0%5%
10%15%20%25%30%35%40%45%50%
2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 Jan-Nov2019
First-time Buyers
Steady But Modest Increase in Homeownership Rates Among Under 35 and 35-44
34.137.5
58.060.364.8
30.035.040.045.050.055.060.065.070.075.0
Q1/
2005
Q3/
2005
Q1/
2006
Q3/
2006
Q1/
2007
Q3/
2007
Q1/
2008
Q3/
2008
Q1/
2009
Q3/
2009
Q1/
2010
Q3/
2010
Q1/
2011
Q3/
2011
Q1/
2012
Q3/
2012
Q1/
2013
Q3/
2013
Q1/
2014
Q3/
2014
Q1/
2015
Q3/
2015
Q1/
2016
Q3/
2016
Q1/
2017
Q3/
2017
Q1/
2018
Q3/
2018
Q1/
2019
Under 35 35-44 U.S.
Source: U.S. Census Bureau, Housing Vacancies and Homeownership Table 4SA , downloaded from Haver Analytics
200,000 Fewer Workers in Residential Construction in 2019 vs. 2005
1008.7
803.9
0.0
200.0
400.0
600.0
800.0
1000.0
1200.0
19851988
19911994
19972000
20032006
20092012
20152018
Employees in Residential Construction Industry
0
500
1000
1500
2000
2500
3000
Dec
/200
0Ju
l/200
1Fe
b/20
02Se
p/20
02Ap
r/20
03N
ov/2
003
Jun/
2004
Jan/
2005
Aug/
2005
Mar
/200
6O
ct/2
006
May
/200
7D
ec/2
007
Jul/2
008
Feb/
2009
Sep/
2009
Apr/
2010
Nov
/201
0Ju
n/20
11Ja
n/20
12Au
g/20
12M
ar/2
013
Oct
/201
3M
ay/2
014
Dec
/201
4Ju
l/201
5Fe
b/20
16Se
p/20
16Ap
r/20
17N
ov/2
017
Jun/
2018
Jan/
2019
Aug/
2019
Fewer Workers Looking for Construction Jobs
JOLTS: Job Openings: Construction (EOP, SA, Thous)
Total Unemployed: Construct ion (NSA, Thous.)
Fewer Specialty Trade Workers Per 1000 People in in 2005 vs. 2018 in Nearly All States
31 States Have Lost Specialty Trade Contractors since 2005
Increasing Land Use and Zoning Regulations Over Time
Figure 2: Land-use regulation growth over time: national (1941–2010)
Figure 3: Zoning regulation growth over time: national (1941–2010)
Unpublished dataset provided by Daniel Shoag of the Harvard Kennedy School. Copy in author’s files (Paper of Vanessa Brown Calder, Zoning, Land-Use Planning, and Housing Affordability, Cato Institute,PolicyAnalysis #823, October 18, 2017; https://www.cato.org/publications/policy-analysis/zoning-land-use-planning-housing-affordability
2020 outlook: modest growth
2017 2018 2019F 2020F
EconomyReal GDP, % Growth 2.4% 2.9% 2.1% 2.2%Inflation Rate 2.1% 2.4% 2.0% 1.9%Unemployment Rate 4.4% 3.9% 3.7% 3.8%
Housing Market30-Yr Fixed Rate 4.0% 4.5% 4.0% 3.8%
Housing Market Existing home sales('000) 5,510 5,340 5,362 5,560 % change 1.1% -3.1% 0.4% 3.7%Median existing home sales price ($ '000) $247.2 $259.3 $270.4 $280.2 % change 5.7% 4.9% 4.3% 3.6%
U.S. ECONOMIC OUTLOOK — November 2019
The Millennials and Baby Boomers will have the biggest impact on housing demand in next 20 years
46.542.4 40.6 42.8
56.146.9 48.2 48.1
41.0
80.8
0.010.020.030.040.050.060.070.080.090.0
25-34 35-44 45-54 55-64 65 and over
Mill
ions
Population Projections2020 2030 2040
US Census Bureau defines millennials as those born between 1982-2000 and Harvard delineates the time as 1985-2004. Using Census definition, eldest millennial is 38 years old in 2020 and youngest millennial is 20 years old in 2020. The youngest millennial will be 40 years old by 2040.
Sustained Growth in E-Commerce
$154.54
020406080
100120140160180
2000
/Q1
2000
/Q4
2001
/Q3
2002
/Q2
2003
/Q1
2003
/Q4
2004
/Q3
2005
/Q2
2006
/Q1
2006
/Q4
2007
/Q3
2008
/Q2
2009
/Q1
2009
/Q4
2010
/Q3
2011
/Q2
2012
/Q1
2012
/Q4
2013
/Q3
2014
/Q2
2015
/Q1
2015
/Q4
2016
/Q3
2017
/Q2
2018
/Q1
2018
/Q4
2019
/Q3
Billi
on $
Retail E-Commerce ( in $Bn)
U.S. is not as dependent on oil imports
29.29
2.9
51.4
48.2
- 20.00 40.00 60.00 80.00
100.00 120.00 140.00 160.00
Q1/
2000
Q4/
2000
Q3/
2001
Q2/
2002
Q1/
2003
Q4/
2003
Q3/
2004
Q2/
2005
Q1/
2006
Q4/
2006
Q3/
2007
Q2/
2008
Q1/
2009
Q4/
2009
Q3/
2010
Q2/
2011
Q1/
2012
Q4/
2012
Q3/
2013
Q2/
2014
Q1/
2015
Q4/
2015
Q3/
2016
Q2/
2017
Q1/
2018
Q4/
2018
Q3/
2019
Billi
on d
olla
rs
Mineral fuels, lubricants, and related materials per Quarter (in billion $)
Thank You. Gay Cororaton
Senior Economist and Director of Housing & Commercial ResearchNational Association of REALTORS®
January 16, 2020
Studies Show Land Use Regulations Decrease Housing Supply, Increase Prices, and Reduce Growth
134 percent price difference between construction costs and mean price due to the “regulatory tax” of zoning and other land-use regulations that increase the cost of obtaining building permits and also restrict housing supply; New York, Boston, Los Angeles, Newport News, Oakland, Salt Lake City, San Francisco, San Jose, and Washington, DC, all have “zoning taxes” that account for more than 10 percent of housing costs; Edward Glaeser et al., “Why Is Manhattan So Expensive? Regulation and the Rise in House Prices,” Journal of Law and Economics 48, no. 2 (October 2005): 331–70.
each regulation in Californian cities is associated with a 4.5 percent increase in the cost of owner-occupied housing and a 2.3 percent increase in the cost of rental housing; John M. Quigley and Steven Raphael, “Regulation and the High Cost of Housing in California,” American Economic Review 95, no. 2 (January 2005): 323–28.
zoning regulations decrease the number of building permits issued, especially for apartments and condominiums: Jenny Schuetz, “No Renters in My Suburban Backyard: Land Use Regulation and Rental Housing,” Journal of Policy Analysis and Management 28, no. 2 (2009): 296–320.
Studies Show Land Use Regulations Decrease Housing Supply, Increase Prices, and Reduces Growth
residents of high-cost coastal cities would pay 20 percent less in homeownership costs and 9 percent less in rent if cities adopted zoning regulations typical of the rest of the country; Salim Furth, “Costly Mistakes: How Bad Policies Raise the Cost of Living,” Heritage Foundation Backgrounder no. 3081, November 23, 2015, http://www.heritage.org/research/reports/2015/11/costly-mistakes-how-bad-policies-raise-the-cost-of-living.
2006 study, Glaeser, Schuetz, and Ward find that the factor that contributes most to restricting the supply and increasing the cost of housing is minimum-lot-size requirements; Edward L. Glaeser, Jenny Schuetz, and Bryce Ward, “Regulation and the Rise of Housing Prices in Greater Boston,” Pioneer Institute for Public Policy Research and Rappaport Institute for Greater Boston, January 5, 2006, http://www.hks.harvard.edu/content/download/68821/1248094/version /1/file/regulation_housingprices.pdf.; each additional acre of minimum lot size requirement is associated with a 50 percent drop in building permits; Edward L. Glaeser and Bryce A. Ward, “The Causes and Consequences of Land Use Regulation: Evidence from Greater Boston,” Journal of Urban Economics 65 (2008): 265–78, doi:10.3386/w12601.
In a study of San Francisco neighborhoods, Wenyu Jia and Martin Wachs find that housing that’s built to comply with parking requirements costs 10 percent more than housing with no off-street parking; Wenyu Jia and Martin Wachs, “Parking Requirements and Housing Affordability: A Case Study of San Francisco,” University of California Transportation Center No. 380, July 1998, http://escholarship.org/uc/item/0fm8k169#page-3.
Studies Show Land Use Regulations Decrease Housing Supply, Increase Prices, and Reduces Growth
roughly 20 percent of the variation in metropolitan housing growth can be explained through density regulations: Jonathan T. Rothwell, “The Effects of Density Regulation on Metropolitan Housing Markets,” working paper, the Woodrow Wilson School of Public and International Affairs, Princeton University, 2009, https://dx.doi.org/10.2139/ssrn.1154146.
A broad review of the academic literature by Keith Ihlanfeldt found the evidence strongly suggests that zoning regulation increases the cost of housing within suburban communities; Keith Ihlanfeldt, “Exclusionary Land-Use Regulations within Suburban Communities: A Review of the Evidence and Policy Prescriptions,” Urban Studies 41, no. 2 (2004): 261–83.
land-use zoning is contributing to a sort of geographical segregation by income; Jonathan T. Rothwell and Douglas S. Massey, “Density Zoning and Class Segregation in U.S. Metropolitan Areas,” Social Science Quarterly 51, no. 9 (December 2010):1223–43.
mismatch between regional labor supply and job opportunities caused by land-use rules had the effect of reducing U.S. economic output by 8.9 percent; Hsieh and Moretti, “Housing Constraints and Spatial Misallocation.”
Studies Show Land Use Regulations Decrease Housing Supply, Increase Prices, and Reduces Growth
land-use regulations have played a role in reducing income convergence between more and less productive areas of the United States ; Peter Ganong and Daniel Shoag, “Why Has Regional Income Convergence in the U.S. Declined?” (HKS Working Paper No. RW12-028, John F. Kennedy School of Government, Harvard University, Cambridge, MA, May 2013),
Within the United States New York, San Francisco, and San Jose are the three cities with the highest labor productivity; lowering the level of regulation in these three cities to the level of regulation in the median US city would be expected to increase GDP by 9.5 percent; Chang-Tai Hsieh and Enrico Moretti, “Why Do Cities Matter? Local Growth and Aggregate Growth” (working paper, Econometrics Laboratory, University of California, Berkeley, April 2015). 71.
Literature Review. How Land-Use Regulation Undermines Affordable Housing, Sanford Ikeda and Emily Washington, Mercatus Center, George Mason University; https://www.mercatus.org/system/files/Ikeda-Land-Use-Regulation.pdf