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Measuring House Price Bubbles

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Listed:
  • Steven C. Bourassa
  • Martin Hoesli
  • Elias Oikarinen

Abstract

Using data for six metropolitan housing markets in three countries, this article provides a comparison of methods used to measure house price bubbles. We use an asset pricing approach to identify bubble periods retrospectively and then compare those results with results produced by six other methods. We also apply the various methods recursively to assess their ability to identify bubbles as they form. In view of the complexity of the asset pricing approach, we conclude that a simple price–rent ratio measure is a reliable method both ex post and in real time. Our results have important policy implications because a reliable signal that a bubble is forming could be used to avoid further house price increases.

Suggested Citation

  • Steven C. Bourassa & Martin Hoesli & Elias Oikarinen, 2019. "Measuring House Price Bubbles," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 47(2), pages 534-563, June.
  • Handle: RePEc:bla:reesec:v:47:y:2019:i:2:p:534-563
    DOI: 10.1111/1540-6229.12154
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    JEL classification:

    • R31 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Housing Supply and Markets
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies

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