Data and Code for Asymmetric effects of monetary policy in regional housing markets
Principal Investigator(s): View help for Principal Investigator(s) Knut Are Aastveit, Norges Bank and BI Norwegian Business School; Andrè K. Anundsen, Oslo Metropolitan University
Version: View help for Version V1
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Replication_AEJ_Macro | 08/19/2021 08:17:AM | ||
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application/pdf | 164.6 KB | 09/14/2021 04:40:AM |
Project Citation:
Aastveit, Knut Are, and Anundsen, Andrè K. Data and Code for Asymmetric effects of monetary policy in regional housing markets. Nashville, TN: American Economic Association [publisher], 2022. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2022-09-28. https://doi.org/10.3886/E140882V1
Project Description
Summary:
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The responsiveness of house prices to monetary policy shocks depends on the nature of the shock - expansionary versus contractionary - and on local housing supply elasticities. These findings are established using a panel of 263 US metropolitan areas. Expansionary monetary policy shocks have a larger impact on house prices in supply inelastic areas. Contractionary shocks are orthogonal to housing supply elasticities. In supply elastic areas, contractionary shocks have a greater impact on house prices than expansionary shocks. The opposite holds true in supply inelastic areas. We attribute this to asymmetric housing supply adjustments.
Scope of Project
Subject Terms:
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House prices;
Heterogeniety;
Monetary policy;
Non-linearity;
Supply elasticities
JEL Classification:
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E32 Business Fluctuations; Cycles
E43 Interest Rates: Determination, Term Structure, and Effects
E52 Monetary Policy
R21 Urban, Rural, Regional, Real Estate, and Transportation Economics: Housing Demand
R31 Housing Supply and Markets
E32 Business Fluctuations; Cycles
E43 Interest Rates: Determination, Term Structure, and Effects
E52 Monetary Policy
R21 Urban, Rural, Regional, Real Estate, and Transportation Economics: Housing Demand
R31 Housing Supply and Markets
Geographic Coverage:
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United States, Metropolitan Statistical Areas
Time Period(s):
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1/1983 – 12/2007 (Quarterly obesrvations)
Universe:
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263 U.S. Metropolitan Statistical Areas
Data Type(s):
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aggregate data;
census/enumeration data;
geographic information system (GIS) data
Methodology
Unit(s) of Observation:
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US Metropolitan Statistical Areas
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