HOUSING MARKETS
ENERGY AND ENVIRONMENT
ECONOMIC HISTORY
HUMAN CAPITAL AND LABOR
CAUSAL INFERENCE WITH SPATIAL DATA
9th and 10th May 2022
RWI-Leibniz Institute for Economic Research Essen, Germany
WORKSHOP
CAUSAL INFERENCE WITH SPATIAL DATA
9th and 10th May 2022
The “CAUSAL INFERENCE WITH SPATIAL DATA” workshop, organized by and held at the RWI-Leibniz Institute for Economic Research in Essen, Germany, will bring together graduate students in economics who are working on ques-tions with a spatial setting, causal inference problems requiring the use of spatial data and modern geographic information systems (GIS) tools. With its four broad focus areas in Housing Markets, Environment and Energy, Economic History, and Human Capital and Labor, the two-day workshop will host twelve presentations - three in each session. Additionally, every session will have its own keynote speaker.
CALL FOR PAPERS DEADLINE: 11th February 2022Submissions from PhD students are highly encouraged!
SESSIONS
HOUSING MARKETSFrom studying the impact of clean air, to cultural her-itage, to exogenous political shocks, and to landfills, economists have thoroughly studied home and land prices. This literature spans multiple fields, with ba-ses in applied microeconomics, econometrics, public economics, etc. For this session, we invite papers in-volving analyses of home prices drawing on spatial data and GIS tools. Keynote speaker: Gabriel Ahlfeldt (LSE)
ENVIRONMENT AND ENERGYArmed with rich satellite imagery for temperature, rainfall, etc., environmental economists frequently put GIS tools to use when answering important policy relevant questions at the intersection of economics, environmental studies, and civil engineering. Many fundamental policy tools in the fight against climate change, for example, protected areas and payments for ecosystem services are spatially explicit, meaning they have a strong geographic element attached to them. For this session, we invite papers involving the use of spatial data and focusing on matters in sustai-nability and energy policy. Keynote speaker: Anna Alberini (UMaryland)
ECONOMIC HISTORY The past contains a large repository of maps which are ripe for digitization and usage as grids and sha-pefiles. Economic historians frequently use such maps when, for example, studying government po-licies from the past to shed light on the here and the now and also the future. For this session, we invite papers involving the use of spatial data focusing on economic history, topics in economic growth, long-term development, and persistence among others. Keynote speaker: Erik Hornung (UCologne)
HUMAN CAPITAL AND LABOR
Questions in human capital and labor are among the most important in economic research. This field analyzes fundamental decisions regarding earnings, location choice, and educational attainment. Using spatial data, economists are able to study, for exam-ple, inequalities across geographic space and impacts of government policies on life outcomes. For this ses-sion, we invite papers involving the use of spatial data focusing on topics including education econo-mics, crime and conflict, labor market dynamics, and migration activity. Keynote speaker: Mariaflavia Harari (UPenn)
SCHEDULE DAY 1: Monday, May 9th 2022
DAY 2: Tuesday, May 10th 2022
Time
12:00 WELCOME ADDRESS AND INTRODUCTION OF THE KEYNOTE SPEAKERSSpeaker:
SESSION 1: HOUSING MARKETS12:10 Keynote 1
TITLESpeaker: Gabriel Ahlfeldt (LSE)
13:00 PresentationTITLESpeaker:
13:45 PresentationTITLESpeaker:
14:30 PresentationTITLESpeaker:
15 Minutes Break
SESSION 2: ENVIRONMENT AND ENERGY15:30 Keynote 2
TITLEAnna Alberini (UMaryland)
16:20 PresentationTITLESpeaker:
17:05 PresentationTITLESpeaker:
17:50 PresentationTITLESpeaker:
19:00 Dinner
SESSION 3: ECONOMIC HISTORYTime
09:00 Keynote 3 TITLESpeaker: Erik Hornung (UCologne)
09:50 PresentationTITLESpeaker:
10:35 PresentationTITLESpeaker:
11:20 PresentationTITLESpeaker:
Lunch Break
SESSION 4: HUMAN CAPITAL AND LABOR13:00 Keynote 4
TITLEMariaflavia Harari (UPenn)
13:50 PresentationTITLESpeaker:
14:35 PresentationTITLESpeaker:
15:20 PresentationTITLESpeaker:
16:05 Closing Remarks
Speakers for accepted papers will have 30 minutes for presentation and an additional 15 minutes for discussions.
Speakers for accepted papers will have 30 minutes for presentation and an additional 15 minutes for discussions.
CAUSAL INFERENCE WITH SPATIAL DATA
9th and 10th May 2022
TRAVELBY PLANEThe nearest airport is Düsseldorf Airport. The cabin railway “SkyTrain” takes you from the terminal to the railway station “Düsseldorf Flughafen”. From there, three regional train lines (“Regionalexpress”) are running to Essen central station (travel time: 20 to 25 minutes): RE1 (NRW-Express direction to Hamm), RE2 (Rhein-Haard-Express direction to Münster) and RE6 (Westfalen-Express direction to Minden).
BY TRAINfrom Essen central stationThe subway line U11 (direction to Messe West/Süd/Gruga) or the tram lines 107 and 108 (both direction to Bredeney) take you from Essen central station to the stop “Philharmonie”. Take exit B and walk Huys-senallee uphill until it crosses Hohenzollernstraße af-ter 200m. Turn left into Hohenzollernstraße and walk about 40m further. On the left-hand side you find the entrance of RWI. If you prefer walking: a walk from Essen central station to the RWI via Huyssenallee will take about 15 minutes.
BY CARFrom Düsseldorf via highway A52:Leave the highway A52 at exit 29 “Essen-Süd“ and drive straight towards Essen city center (“Essen-Zen-trum”). After about 1.5 km turn left towards “Philhar-monie/Saalbau” into Kronprinzenstraße. Follow the course of the road for about 1 km. Kronprinzenstraße turns into Hohenzollernstraße and passes the “Stadt-garten”. The RWI is located behind the park on the right side just before the junction with Huyssenallee.
From Bochum (from the east) via highway A40:Leave the A40 at exit 24 “Essen-Huttrop“ and drive towards E-Huttrop. At the traffic lights after approx. 450 m turn left into Steeler Straße. At the water tower
How to get to the RWI
of Steele after approx. 120 m turn right into Kur-fürstenstraße/L451. Follow the course of the road about 1.8 km. Kurfürstenstraße turns into Kron-prinzenstraße, before turning into Hohenzollern-straße which passes the “Stadtgarten”. The RWI is located behind the park on the right side just before the junction with Huyssenallee.
From Duisburg (from the west) via highway A40:Leave the A40 at exit 23 “Essen-Zentrum/B224“ and turn left to B224 Solingen/Dorsten in Holster-hauser Straße. After approx. 150 m turn right into Friedrichstraße direction to A52 Düsseldorf/B224 Solingen. After approx. 500 m and two intersec-tions with traffic lights you are going to find the building of the RWI on the left side opposite to the Steag headquarter.
PARKING FACILITIES around the RWIRWI has no parking spaces for visitors. Please use the fee-based parking facilities provided by Phil-harmonie/Saalbau (Admiral-Scheer-Str.1) behind the building of RWI. You get there by following the signpost “P Philharmonie/Saalbau”.
LOW-EMISSION ZONEThe RWI is located within a low-emission zone. If you visit us by car you need a “pollution badge”. Without the badge it is not allowed to enter an area identified as “Umweltzone” by signs, not even if your vehicle would meet the requirements for a badge. Otherwise, you risk a fine of 40 Euro plus points on your driver’s licence. Please check the details on the website of the city of Essen be-fore your visit.
CAUSAL INFERENCE WITH SPATIAL DATA
9th and 10th May 2022
CONTACT Patrick Thiel
RWI - Leibniz-Institut für WirtschaftsforschungHohenzollernstraße 1-3
45128 EssenGermany
Phone: +49 (201) 8149-133E-Mail: [email protected]
Arijit Ghosh
RWI - Leibniz-Institut für WirtschaftsforschungHohenzollernstraße 1-3
45128 EssenGermany
Phone: +49 (201) 8149-321E-Mail: [email protected]
RWI website: https://en.rwi-essen.de
Information
CAUSAL INFERENCE WITH SPATIAL DATA
9th and 10th May 2022
