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The Effects of Demand Specification and Search Patience on the Buyer Search Process in China¡¦s Resale Housing Market: An Experimental Study

Author

Listed:
  • Yang Zhang

    () (Tsinghua University)

  • Hong Zhang

    () (Tsinghua University)

  • Michael J. Seiler

    () (The College of William & Mary)

Abstract

Through the implementation of an experimental design, this study examines the effect of buyer demand specification and search patience on the home buying process. We find that there are no significant effects of demand specification on the behavior of brokers and the search results. When the search patience of a buyer is higher, the earnings of the buyer are greater, matching degree is higher, search duration is longer, number of broker recommendations is greater, and attribute competition is fiercer.

Suggested Citation

  • Yang Zhang & Hong Zhang & Michael J. Seiler, 2014. "The Effects of Demand Specification and Search Patience on the Buyer Search Process in China¡¦s Resale Housing Market: An Experimental Study," International Real Estate Review, Asian Real Estate Society, vol. 17(3), pages 275-299.
  • Handle: RePEc:ire:issued:v:17:n:03:2014:p:275-299
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    References listed on IDEAS

    as
    1. Dyer, Douglas & Kagel, John H & Levin, Dan, 1989. "A Comparison of Naive and Experienced Bidders in Common Value Offer Auctions: A Laboratory Analysis," Economic Journal, Royal Economic Society, vol. 99(394), pages 108-115, March.
    2. G. Stacy Sirmans & Philip G. Swicegood, 2000. "Determining Real Estate Licensee Income," Journal of Real Estate Research, American Real Estate Society, vol. 20(1), pages 189-204.
    3. Nuriddin Ikromov & Abdullah Yavas, 2012. "Asset Characteristics and Boom and Bust Periods: An Experimental Study," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 40(3), pages 603-636, September.
    4. Elder, Harold W & Zumpano, Leonard V & Baryla, Edward A, 1999. "Buyer Search Intensity and the Role of the Residential Real Estate Broker," The Journal of Real Estate Finance and Economics, Springer, vol. 18(3), pages 351-368, May.
    5. Kim, Sunwoong, 1992. "Search, Hedonic Prices and Housing Demand," The Review of Economics and Statistics, MIT Press, vol. 74(3), pages 503-508, August.
    6. Edward A. Baryla & Leonard V. Zumpano, 1995. "Buyer Search Duration in the Residential Real Estate Market: The Role of the Real Estate Agent," Journal of Real Estate Research, American Real Estate Society, vol. 10(1), pages 1-14.
    7. Urs Fischbacher, 2007. "z-Tree: Zurich toolbox for ready-made economic experiments," Experimental Economics, Springer;Economic Science Association, vol. 10(2), pages 171-178, June.
    8. Wheaton, William C, 1990. "Vacancy, Search, and Prices in a Housing Market Matching Model," Journal of Political Economy, University of Chicago Press, vol. 98(6), pages 1270-1292, December.
    9. Michael A. Abelson & K. Michele Kacmar & Ellen F. Jackofsky, 1990. "Factors Influencing Real Estate Brokerage Sales Staff Performance," Journal of Real Estate Research, American Real Estate Society, vol. 5(2), pages 265-276.
    10. Stuart Mestelman & David Feeny, 1988. "Does ideology matter?: Anecdotal experimental evidence on the voluntary provision of public goods," Public Choice, Springer, vol. 57(3), pages 281-286, June.
    11. Geoffrey Turnbull & Jonathan Dombrow, 2007. "Individual Agents, Firms, and the Real Estate Brokerage Process," The Journal of Real Estate Finance and Economics, Springer, vol. 35(1), pages 57-76, July.
    12. Courant, Paul N., 1978. "Racial prejudice in a search model of the urban housing market," Journal of Urban Economics, Elsevier, vol. 5(3), pages 329-345, July.
    13. Paul M. Anglin, 1997. "Determinants of Buyer Search in a Housing Market," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 25(4), pages 567-589.
    14. Nuriddin Ikromov & Abdullah Yavas, 2012. "Cash Flow Volatility, Prices and Price Volatility: An Experimental Study," The Journal of Real Estate Finance and Economics, Springer, vol. 44(1), pages 203-229, January.
    15. Abdullah Yavas & Thomas J. Miceli & C.F. Sirmans, 2001. "An Experimental Analysis of the Impact of Intermediaries on the Outcome of Bargaining Games," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 29(2), pages 251-276.
    16. Glenn E. Crellin & James R. Frew & G. Donald Jud, 1988. "The Earnings of REALTORS: Some Empirical Evidence," Journal of Real Estate Research, American Real Estate Society, vol. 3(2), pages 69-78.
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    More about this item

    Keywords

    Demand Specification; Search Patience; Experimental Methods; Resale Housing Market;

    JEL classification:

    • L85 - Industrial Organization - - Industry Studies: Services - - - Real Estate Services

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