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House Prices, Sales, And Time On The Market: A Search‐Theoretic Framework

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  • ANTONIA DÍAZ
  • BELÉN JEREZ
Abstract
We assess the ability of a standard search and matching framework to account for the cyclical properties of key macroeconomic time series of the housing market. We calibrate a model with aggregate demand and supply shocks to match selected business cycle properties of vacancies and sales in the United States. Our model reproduces the cyclical time series properties of house prices and the positive and negative comovement of prices with sales and time on the market, respectively. Search and matching frictions produce trading delays that augment the volatility of prices and propagate the effect of aggregate shocks to future periods.

Suggested Citation

  • Antonia Díaz & Belén Jerez, 2013. "House Prices, Sales, And Time On The Market: A Search‐Theoretic Framework," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 54(3), pages 837-872, August.
    • Handle: RePEc:wly:iecrev:v:54:y:2013:i:3:p:837-872
    DOI: 10.1111/iere.12019
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    More about this item

    JEL classification:

    • R31 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Housing Supply and Markets
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • D40 - Microeconomics - - Market Structure, Pricing, and Design - - - General

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