Clustered housing cycles

B-Tier
Journal: Regional Science and Urban Economics
Year: 2017
Volume: 66
Issue: C
Pages: 185-197

Score contribution per author:

0.670 = (α=2.01 / 3 authors) × 1.0x B-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

Abstract

Using a panel of U.S. city-level building permits data, we estimate a Markov-switching model of housing cycles that allows cities to systematically deviate from the national housing cycle. These deviations occur for clusters of cities that experience simultaneous housing contractions. We find that cities do not form housing regions in the traditional geographic sense. Instead, similarities in factors affecting the demand for housing (such as population growth or availability of credit) appear to be more important determinants of cyclical co-movements than similarities in factors affecting the supply for land (such as the availability of developable land or the elasticity of land supply).

Technical Details

RePEc Handle
repec:eee:regeco:v:66:y:2017:i:c:p:185-197
Journal Field
Urban
Author Count
3
Added to Database
2026-01-26