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Estimating the Relationship between Price and Time to Sale for Investment Property

Author

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  • Robert R. Trippi

    (Associated Business Consultants, San Diego)

Abstract

This article develops an empirical model for estimating the relationship between selling price and length of time on market for a unique, large-ticket item. The model provides valuable information in the form of probability statements concerning the length of time to sale at any given price for a capital asset having a well-defined set of characteristics.

Suggested Citation

  • Robert R. Trippi, 1977. "Estimating the Relationship between Price and Time to Sale for Investment Property," Management Science, INFORMS, vol. 23(8), pages 838-842, April.
    • Handle: RePEc:inm:ormnsc:v:23:y:1977:i:8:p:838-842
    DOI: 10.1287/mnsc.23.8.838
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    File URL: http://dx.doi.org/10.1287/mnsc.23.8.838
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    Cited by:

    1. David Koch & Gunther Maier, 2015. "The influence of estate agencies’ location and time on Internet," Review of Regional Research: Jahrbuch für Regionalwissenschaft, Springer;Gesellschaft für Regionalforschung (GfR), vol. 35(2), pages 147-171, October.
    2. 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.
    3. Alan W. Evans, 1995. "The Property Market: Ninety Per Cent Efficient?," Urban Studies, Urban Studies Journal Limited, vol. 32(1), pages 5-29, February.
    4. Jerez, Belén, 2023. "Competitive search with two-sided risk aversion," European Economic Review, Elsevier, vol. 157(C).
    5. Steven Devaney & David Scofield, 2015. "Liquidity and the drivers of search, due diligence and transaction times for UK commercial real estate investments," Journal of Property Research, Taylor & Francis Journals, vol. 32(4), pages 362-383, December.
    6. Antonia Díaz & Belén Jerez & Juan Pablo Rincón-Zapatero, 2024. "Housing Prices and Credit Constraints in Competitive Search," The Economic Journal, Royal Economic Society, vol. 134(657), pages 220-270.

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