IDEAS home Printed from https://ideas.repec.org/a/jre/issued/v35n22013p199-222.html
   My bibliography  Save this article

Dual Agency Representation: Incentive Conflicts or Efficiencies

Author

Listed:
  • Bennie D. Waller

    (Longwood University)

  • Raymond T. Brastow

    (Longwood University)

Abstract

This study is the first to examine dual agency sales over the listing contract between seller and listing agent. We test hypotheses about the timing of dual agency and its effects on sales price and time on market. Probit results indicate that dual agency sales are more likely to occur near the beginning or the end of a listing contract. Three stage least squares results demonstrate that dual agency affects sales price in both periods and that dual agency sales have shorter marketing times. Results support the conclusion that dual agency sales result from both incentives and informational efficiencies. In the residential real estate market, buyers and sellers both rely greatly on

Suggested Citation

  • Bennie D. Waller & Raymond T. Brastow, 2013. "Dual Agency Representation: Incentive Conflicts or Efficiencies," Journal of Real Estate Research, American Real Estate Society, vol. 35(2), pages 83-102.
  • Handle: RePEc:jre:issued:v:35:n:2:2013:p:199-222
    as

    Download full text from publisher

    File URL: http://pages.jh.edu/jrer/papers/pdf/past/vol35n02/04.199_222.pdf
    File Function: Full text
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Xun Bian & Bennie D. Waller & Abdullah Yavas, 2017. "Commission Splits in Real Estate Transactions," The Journal of Real Estate Finance and Economics, Springer, vol. 54(2), pages 165-187, February.
    2. Shen, Lily & Ross, Stephen, 2021. "Information value of property description: A Machine learning approach," Journal of Urban Economics, Elsevier, vol. 121(C).
    3. Lily Shen & Stephen L. Ross, 2019. "Information Value of Property Description: A Machine Learning Approach," Working papers 2019-20, University of Connecticut, Department of Economics, revised Sep 2020.
    4. 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.
    5. Lawrence Kryzanowski & Yanting Wu & Tingyu Zhou, 2023. "Conflicts of interest and agent heterogeneity in buyer brokerage," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 51(1), pages 130-169, January.

    More about this item

    JEL classification:

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

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:jre:issued:v:35:n:2:2013:p:199-222. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: JRER Graduate Assistant/Webmaster (email available below). General contact details of provider: http://www.aresnet.org/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.