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Can the Mortensen-Pissarides Model Match the Housing Market Facts ?

Author

Listed:
  • Gaetano Lisi

    (University of Cassino - Creativity and Motivations (CreaM) Economic Center)

Abstract
This paper examines whether the baseline Mortensen-Pissarides matching model can account for the housing market facts, namely, the existence of price dispersion, the positive correlation between housing price and trading volume, and between housing price and time-on-the-market. Our main finding is that the model can account for these three basic facts of the housing market, thus showing that the Mortensen-Pissarides framework can be seen as the benchmark macroeconomic model not only for the labour market but for any market with frictions.

Suggested Citation

  • Gaetano Lisi, 2012. "Can the Mortensen-Pissarides Model Match the Housing Market Facts ?," Working Papers hal-00676072, HAL.
    • Handle: RePEc:hal:wpaper:hal-00676072
    Note: View the original document on HAL open archive server: https://hal.science/hal-00676072v2
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    References listed on IDEAS

    as
    1. Jeffrey Fisher & Dean Gatzlaff & David Geltner & Donald Haurin, 2003. "Controlling for the Impact of Variable Liquidity in Commercial Real Estate Price Indices," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 31(2), pages 269-303, June.
    2. L. Rachel Ngai & Silvana Tenreyro, 2014. "Hot and Cold Seasons in the Housing Market," American Economic Review, American Economic Association, vol. 104(12), pages 3991-4026, December.
    3. Jos Janssen & Bert Kruijt & Barrie Needham, 1994. "The Honeycomb Cycle in Real Estate," Journal of Real Estate Research, American Real Estate Society, vol. 9(2), pages 237-252.
    4. Charles Leung & Youngman Leong & Siu Wong, 2006. "Housing Price Dispersion: An Empirical Investigation," The Journal of Real Estate Finance and Economics, Springer, vol. 32(3), pages 357-385, May.
    5. Etienne Wasmer & Philippe Weil, 2004. "The Macroeconomics of Labor and Credit Market Imperfections," American Economic Review, American Economic Association, vol. 94(4), pages 944-963, September.
    6. Charles Ka Yui Leung & Jun Zhang, 2011. ""Fire Sales" in Housing Market: Is the House- Search Process Similar to a Theme Park Visit?," International Real Estate Review, Global Social Science Institute, vol. 14(3), pages 311-329.
    7. Monika Piazzesi & Martin Schneider, 2009. "Momentum Traders in the Housing Market: Survey Evidence and a Search Model," American Economic Review, American Economic Association, vol. 99(2), pages 406-411, May.
    8. Merlo, Antonio & Ortalo-Magne, Francois, 2004. "Bargaining over residential real estate: evidence from England," Journal of Urban Economics, Elsevier, vol. 56(2), pages 192-216, September.
    9. Christopher A. Pissarides, 2000. "Equilibrium Unemployment Theory, 2nd Edition," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262161877, April.
    10. Gaetano Lisi, 2011. "The Hedonic Price Function in a Matching Model of Housing Market," Economics Bulletin, AccessEcon, vol. 31(3), pages 2347-2355.
    11. Vukina, Tomislav & Zheng, Xiaoyong, 2010. "Bargaining, Search, and Price Dispersion: Evidence from the Live Hogs Market," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 39(3), pages 1-13, October.
    12. Brian Petereson, 2009. "Fooled by Search: Housing Prices, Turnover and Bubbles," Caepr Working Papers 2009-004, Center for Applied Economics and Policy Research, Economics Department, Indiana University Bloomington.
    13. James Albrecht & Axel Anderson & Eric Smith & Susan Vroman, 2007. "Opportunistic Matching In The Housing Market," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 48(2), pages 641-664, May.
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    More about this item

    Keywords

    housing price dispersion; time-on-the-market; trading volume; search and matching process.; search and matching process;
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