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Listing Contract Length and Time on Market

Author

Listed:
  • Bennie D. Waller

    (Longwood University)

  • Ray Brastow

    (Longwood University)

  • Ken H. Johnson

    (Florida International University)

Abstract

Miceli (1989) in a search for the optimal time to allow a broker to market property provides a theoretical model which posits that the principal (seller) may use the length of the listing contract to motivate the agent (listing broker) to better align incentives. Expanding slightly on Miceli, this present work predicts that longer time allotted the broker to market residential property will decrease broker effort resulting in lower search intensity and eventually a longer marketing span for property, ceteris paribus. This prediction is borne out across three empirical modeling methodologies commonly used in time on market studies.

Suggested Citation

  • Bennie D. Waller & Ray Brastow & Ken H. Johnson, 2010. "Listing Contract Length and Time on Market," Journal of Real Estate Research, American Real Estate Society, vol. 32(3), pages 271-288.
    • Handle: RePEc:jre:issued:v:32:n:3:2010:p:271-288
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    Citations

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    Cited by:

    1. 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.
    2. Xun Bian & Geoffrey K. Turnbull & Bennie D. Waller, 2017. "Client Externality Effects of Agents Selling Their Own Properties," The Journal of Real Estate Finance and Economics, Springer, vol. 54(2), pages 139-164, February.
    3. Tatiana Cesaroni, 2022. "Average time to sell a property and credit conditions: Evidence from the Italian housing market survey," Bulletin of Economic Research, Wiley Blackwell, vol. 74(1), pages 49-68, January.
    4. Han, Lu & Strange, William C., 2015. "The Microstructure of Housing Markets," Handbook of Regional and Urban Economics, in: Gilles Duranton & J. V. Henderson & William C. Strange (ed.), Handbook of Regional and Urban Economics, edition 1, volume 5, chapter 0, pages 813-886, Elsevier.
    5. Xin He & Zhenguo Lin & Yingchun Liu & Michael J. Seiler, 2020. "Search Benefit in Housing Markets: An Inverted U‐Shaped Price and TOM Relation," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 48(3), pages 772-807, September.
    6. 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.
    7. Geoffrey K. Turnbull & Bennie D. Waller & Scott A. Wentland, 2022. "Mitigating agency costs in the housing market," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 50(3), pages 829-861, September.
    8. Bian, Xun & Waller, Bennie D. & Turnbull, Geoffrey K. & Wentland, Scott A., 2015. "How many listings are too many? Agent inventory externalities and the residential housing market," Journal of Housing Economics, Elsevier, vol. 28(C), pages 130-143.
    9. Randy Anderson & Raymond Brastow & Geoffrey Turnbull & Bennie Waller, 2014. "Seller Over-Pricing and Listing Contract Length: The Effects of Endogenous Listing Contracts on Housing Markets," The Journal of Real Estate Finance and Economics, Springer, vol. 49(3), pages 434-450, October.

    More about this item

    JEL classification:

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

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