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Price Effects of Non-Traditionally Broker-Marketed Properties

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  • Ken Johnson
  • Thomas Springer
  • Christopher Brockman

Abstract

This study investigates whether or not non-traditional marketing has an effect on the prices paid for residential real estate. Non-traditionally broker-marketed properties are defined as those properties that are sold with the aid of a real estate broker, but not marketed through a Multiple Listing Service (MLS). An analysis of properties that sold in this fashion offers further insight into the intermediation role of the real estate broker, as well as an opportunity to further investigate the efficiency of residential real estate markets. Specifically, we can assess whether MLS participation generates higher prices by determining whether like-kind properties price equivalently despite differences in their mode of marketing. The results show a significant and positive impact by non-traditionally broker-marketed properties on property price suggesting, for this sample, a premium of over 6% compared to like-kind properties marketed through the MLS. This premium may be a result of brokers intermediating a better matching of buyers and sellers. The observed premium also suggests a degree of market inefficiency. Copyright Springer Science + Business Media, Inc. 2005

Suggested Citation

  • Ken Johnson & Thomas Springer & Christopher Brockman, 2005. "Price Effects of Non-Traditionally Broker-Marketed Properties," The Journal of Real Estate Finance and Economics, Springer, vol. 31(3), pages 331-343, November.
    • Handle: RePEc:kap:jrefec:v:31:y:2005:i:3:p:331-343
    DOI: 10.1007/s11146-005-2793-3
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    References listed on IDEAS

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    Cited by:

    1. Jonathan Wiley & Leonard Zumpano & Justin Benefield, 2011. "The Limited-Service Brokerage Decision: Theory and Evidence," The Journal of Real Estate Finance and Economics, Springer, vol. 43(3), pages 336-358, October.
    2. Marcus T. Allen & Justin D. Benefield & Christopher L. Cain & Norman Maynard, 2024. "Distressed Property Sales: Differences and Similarities Across Types of Distress," The Journal of Real Estate Finance and Economics, Springer, vol. 68(2), pages 318-353, February.
    3. 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.
    4. Chris Cunningham & Kristopher Gerardi & Lily Shen, 2022. "The Good, the Bad, and the Ordinary: Estimating Agent Value-Added Using Real Estate Transactions," FRB Atlanta Working Paper 2022-11, Federal Reserve Bank of Atlanta.
    5. Steven Stelk & Leonard V. Zumpano, 2017. "Can Real Estate Brokers Affect Home Prices Under Extreme Market Conditions?," International Real Estate Review, Global Social Science Institute, vol. 20(1), pages 51-73.
    6. Sean P. Salter & Franklin G. Mixon & Ernest W. King, 2012. "Broker beauty and boon: a study of physical attractiveness and its effect on real estate brokers’ income and productivity," Applied Financial Economics, Taylor & Francis Journals, vol. 22(10), pages 811-825, May.
    7. Biqing Huang & Ronald Rutherford, 2007. "Who You Going to Call? Performance of Realtors and Non-realtors in a MLS Setting," The Journal of Real Estate Finance and Economics, Springer, vol. 35(1), pages 77-93, July.
    8. 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.
    9. William G. Hardin III & Ken H. Johnson & Zhonghua Wu, 2009. "Brokerage Intermediation in the Commercial Property Market," Journal of Real Estate Research, American Real Estate Society, vol. 31(4), pages 397-420.
    10. Justin Benefield & William Hardin, 2015. "Does Time-on-Market Measurement Matter?," The Journal of Real Estate Finance and Economics, Springer, vol. 50(1), pages 52-73, January.

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