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“Fire Sales” in housing market: is the house-searching process similar to a theme park visit?

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  • Leung, Charles Ka Yui
  • Zhang, Jun

Abstract

Three striking empirical regularities have been repeatedly reported: the positive correlation between housing prices and trading volume, between housing price and the time-on-the-market (TOM), and the existence of price dispersion. This short paper provides perhaps the first unifying framework which mimics these phenomena in a simple competitive search framework. In the equilibrium, sellers with heterogeneous waiting cost and buyers are endogenously segregated into different submarkets, each with distinct market tightness and prices. With endogenous search effort, our model also reproduces the well-documented price-volume correlation. Directions for future research are also discussed.

Suggested Citation

  • Leung, Charles Ka Yui & Zhang, Jun, 2011. "“Fire Sales” in housing market: is the house-searching process similar to a theme park visit?," MPRA Paper 29127, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:29127
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    References listed on IDEAS

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    Cited by:

    1. Charles Ka Yui Leung & Joe Cho Yiu Ng, 2018. "Macro Aspects of Housing," GRU Working Paper Series GRU_2018_016, City University of Hong Kong, Department of Economics and Finance, Global Research Unit.
    2. Leung, Charles Ka Yui & Tse, Chung-Yi, 2017. "Flipping in the housing market," Journal of Economic Dynamics and Control, Elsevier, vol. 76(C), pages 232-263.
    3. Daisy J. Huang & Charles Ka Yui Leung & Chung-Yi Tse, 2018. "What Accounts for the Differences in Rent-Price Ratio and Turnover Rate? A Search-and-Matching Approach," The Journal of Real Estate Finance and Economics, Springer, vol. 57(3), pages 431-475, October.
    4. Lisi, Gaetano, 2011. "Price dispersion in the housing market: the role of bargaining and search costs," MPRA Paper 33863, University Library of Munich, Germany.
    5. Gaetano Lisi, 2019. "Hedonic pricing models and residual house price volatility," Letters in Spatial and Resource Sciences, Springer, vol. 12(2), pages 133-142, August.
    6. Xiaoqi Zhang & Yanqiao Zheng & Lei Sun & Qiwen Dai, 2019. "Urban Structure, Subway Systemand Housing Price: Evidence from Beijing and Hangzhou, China," Sustainability, MDPI, vol. 11(3), pages 1-23, January.
    7. Gaetano Lisi, 2014. "Home-seekers in the Housing Market," International Real Estate Review, Global Social Science Institute, vol. 17(1), pages 47-62.

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    More about this item

    Keywords

    housing market; competitive search; price dispersion; trading volume; time on the market;
    All these keywords.

    JEL classification:

    • E30 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - General (includes Measurement and Data)
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • R21 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Housing Demand

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