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Regional composition of national house price cycles in the US

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  • Prüser, Jan
  • Schmidt, Torsten

Abstract

House price cycles may have considerable macroeconomic effects even if they evolve heterogeneous across local markets. In this paper we use a panel Markov switching model allowing for time-varying volatility to analyze national and state level house price regimes for the US jointly. Our approach identifies three house price regimes endogenously. A nationwide boom regime, a spatially limited bust regime and a nationwide bust regime. The spatially limited bust regime occurs in the coastal states where compared to other states the population density is high, the unemployment rate, the housing density as well as the land supply elasticity is low. This spatially limited bust regime usually follows a nationwide house price boom. Hence, house price movements in the coastal states usually determine the nationwide cycle in the US. Moreover, boom and bust cycles are accompanied by an exaggeration of house price increases during the boom in this group of states. In contrast, a bubble in the housing market occored in almost all states previous to the Great Recession. This is one explanation for the severity of the Great Recession.

Suggested Citation

  • Prüser, Jan & Schmidt, Torsten, 2020. "Regional composition of national house price cycles in the US," Ruhr Economic Papers 853, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    • Handle: RePEc:zbw:rwirep:853
    DOI: 10.4419/86788989
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    More about this item

    Keywords

    house price cycles; regional house prices; Markov switching;
    All these keywords.

    JEL classification:

    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • R31 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Housing Supply and Markets
    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models

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