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Can Tightness in the Housing Market Help Predict Subsequent Home Price Appreciation? Evidence from the U.S. and the Netherlands

  • Paul E. Carrillo


    (Department of Economics/Institute for International Economic Policy, George Washington University)

  • Erik Robert De Wit


    (University of Amsterdam)

  • William D. Larson


    (George Washington University)

This paper assesses the predictive power of variables that measure market tightness, such as seller's bargaining power and sale probabilities, on future home prices. Theoretical insights from a stylized search-and-matching model illustrate that such indicators can be associated with subsequent home price appreciation. The empirical analysis employs data on all residential units offered for sale through a real estate broker in the Netherlands and a large suburb in the Washington, DC area. Individual records are used to construct a quarterly home price index, an index that measures seller's bargaining power, and (quality adjusted) home sale probabilities. Using conventional time-series models we show that current sale probabilities and bargaining power can significantly reduce home price appreciation forecast errors.

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Paper provided by The George Washington University, Institute for International Economic Policy in its series Working Papers with number 2012-11.

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Length: 42 pages
Date of creation: Nov 2012
Date of revision:
Handle: RePEc:gwi:wpaper:2012-11
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  17. Paul E. Carrillo, 2012. "An Empirical Stationary Equilibrium Search Model Of The Housing Market," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 53(1), pages 203-234, 02.
  18. Yinger, John, 1981. "A Search Model of Real Estate Broker Behavior," American Economic Review, American Economic Association, vol. 71(4), pages 591-605, September.
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