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How Can One Tell When the Housing Market Is Out of Equilibrium?

Author

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  • Robert Hill
Abstract
Purpose - One way of detecting departures from equilibrium is by comparing house prices and rents. Here I assess the viability of this approach.Design/methodology - Error-correction models (ECMs) based on price and rent indexes can be used to forecast movements in house prices. The short-term forecasting ability of ECMs is limited though due to the long persistence of departures from equilibrium. ECMs also suffer from the limitation that they do not tell us whether the price-rent ratio is above or below its equilibrium level at any given point in time. To answer this question it is necessary to make cross-section comparisons of prices, rents and user cost (i.e., the cost incurred by owning a house).Findings - A meaningful cross-section comparison requires that prices and rents are quality adjusted. This may require the use of hedonic methods. The equilibrium price-rent ratio (which is derived from the user cost) is difficult to compute since it depends on the expected capital gain. Also, both the actual and equilibrium price-rent ratios differ depending on which segment of the housing market is considered. Originality/value - The housing market, which is prone to booms and busts, can very significantly affect the rest of the economy. Hence it is important that central banks and governments can detect when the housing market is out of equilibrium. I show here how difficult it is to detect such departures.

Suggested Citation

  • Robert Hill, 2013. "How Can One Tell When the Housing Market Is Out of Equilibrium?," ERES eres2013_59, European Real Estate Society (ERES).
  • Handle: RePEc:arz:wpaper:eres2013_59
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    References listed on IDEAS

    as
    1. Charles Himmelberg & Christopher Mayer & Todd Sinai, 2005. "Assessing High House Prices: Bubbles, Fundamentals and Misperceptions," Journal of Economic Perspectives, American Economic Association, vol. 19(4), pages 67-92, Fall.
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    5. John V. Duca & John Muellbauer & Anthony Murphy, 2011. "House Prices and Credit Constraints: Making Sense of the US Experience," Economic Journal, Royal Economic Society, vol. 121(552), pages 533-551, May.
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    8. Joshua Gallin, 2008. "The Long‐Run Relationship Between House Prices and Rents," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 36(4), pages 635-658, December.
    9. Clapp, John M & Giaccotto, Carmelo, 1992. "Estimating Price Trends for Residential Property: A Comparison of Repeat Sales and Assessed Value Methods," The Journal of Real Estate Finance and Economics, Springer, vol. 5(4), pages 357-374, December.
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    12. Eden Hatzvi & Glenn Otto, 2008. "Prices, Rents and Rational Speculative Bubbles in the Sydney Housing Market," The Economic Record, The Economic Society of Australia, vol. 84(267), pages 405-420, December.
    13. Gatzlaff, Dean H & Haurin, Donald R, 1997. "Sample Selection Bias and Repeat-Sales Index Estimates," The Journal of Real Estate Finance and Economics, Springer, vol. 14(1-2), pages 33-50, Jan.-Marc.
    14. Robert J. Hill, 2013. "Hedonic Price Indexes For Residential Housing: A Survey, Evaluation And Taxonomy," Journal of Economic Surveys, Wiley Blackwell, vol. 27(5), pages 879-914, December.
    15. Shimizu Chihiro & Nishimura Kiyohiko G. & Watanabe Tsutomu, 2010. "Housing Prices in Tokyo: A Comparison of Hedonic and Repeat Sales Measures," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 230(6), pages 792-813, December.
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    JEL classification:

    • R3 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location

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