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An Investigation of Buyer Search in the Residential Real Estate Market under Different Market Conditions

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Abstract

The purpose of this research is to examine buyer search under different market conditions. We conduct a survival regression analysis of survey data generated by the National Association of Realtors for 1988, 1991 and 1993. We find, in all instances, that economic conditions are the dominant factor influencing search duration. Some evidence does indicate, however, that search is influenced by interest rates. Additionally, the evidence suggests that the probability of finding a home increases for broker-assisted search, while this is not the case for self-conducted search.

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  • Edward A. Baryla, Jr. & Leonard V. Zumpano & Harold W. Elder, 2000. "An Investigation of Buyer Search in the Residential Real Estate Market under Different Market Conditions," Journal of Real Estate Research, American Real Estate Society, vol. 20(1), pages 75-91.
    • Handle: RePEc:jre:issued:v:20:n:1:2000:p:75-91
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    Cited by:

    1. Genesove, David & Han, Lu, 2012. "Search and matching in the housing market," Journal of Urban Economics, Elsevier, vol. 72(1), pages 31-45.
    2. Jerez, Belén, 2023. "Competitive search with two-sided risk aversion," European Economic Review, Elsevier, vol. 157(C).
    3. Antonia Díaz & Belén Jerez & Juan Pablo Rincón-Zapatero, 2023. "Housing Prices and Credit Constraints in Competitive Search," The Economic Journal, Royal Economic Society, vol. 134(657), pages 220-270.
    4. Marcus T. Allen & Justin D. Benefield & Ronald C. Rutherford, 2023. "Co-Listing Strategies: Better Transaction Outcomes?," The Journal of Real Estate Finance and Economics, Springer, vol. 67(3), pages 517-544, October.
    5. Chhabra, Meenal & Das, Sanmay & Sarne, David, 2014. "Expert-mediated sequential search," European Journal of Operational Research, Elsevier, vol. 234(3), pages 861-873.
    6. Oded Palmon & Ben J. Sopranzetti, 2017. "On the relationship between the number of a broker’s real estate listings and transaction outcomes," Review of Quantitative Finance and Accounting, Springer, vol. 49(1), pages 65-89, July.
    7. Grosfeld-Nir, Abraham & Sarne, David & Spiegler, Israel, 2009. "Modeling the search for the least costly opportunity," European Journal of Operational Research, Elsevier, vol. 197(2), pages 667-674, September.
    8. Zumpano, Leonard V. & Johnson, Ken H. & Anderson, Randy I., 2003. "Internet use and real estate brokerage market intermediation," Journal of Housing Economics, Elsevier, vol. 12(2), pages 134-150, June.
    9. Jessica Shui & Shriya Murthy, 2017. "Under What Circumstances do First-time Homebuyers Overpay? – An Empirical Analysis Using Mortgage and Appraisal Data," FHFA Staff Working Papers 17-03, Federal Housing Finance Agency.
    10. Stanley McGreal & Alastair Adair & Louise Brown & James R. Webb, 2009. "Pricing and Time on the Market for Residential Properties in a Major U.K. City," Journal of Real Estate Research, American Real Estate Society, vol. 31(2), pages 209-234.

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    JEL classification:

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

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