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Micro Evidence Relating to House Rents, Prices and Investor Size from a Matched Dataset

Author

Listed:
  • Jessica Rutherford
  • Ronald Rutherford

    (Muma College of Business University of South Florida)

  • Abdullah Yavas

    (University of WI Madison)

  • Lei Wedge

    (Muma College of Business, University of South Florida)

  • Marcus T. Allen

    (Alico Eminent Scholar, Lutgert College of Business, Florida Gulf Coast University)

Abstract

We examine matched rent-price ratios and rent transaction prices for single-family houses in Miami-Dade County between January 2009 and April 2014. The primary dataset consists of properties that are purchased and then rented within 240 days of the purchase. Each of the buyers in the sample are considered investors since each property included has a rental event indicating they are not owner occupied. We examine the relationship between housing and market characteristics and the impact active investors have on single-family rents and rent-price ratios. Entities that purchase the largest number of units pay more for properties, obtain marginally higher rent and obtain lower rent-to-price ratios.

Suggested Citation

  • Jessica Rutherford & Ronald Rutherford & Abdullah Yavas & Lei Wedge & Marcus T. Allen, 2025. "Micro Evidence Relating to House Rents, Prices and Investor Size from a Matched Dataset," The Journal of Real Estate Finance and Economics, Springer, vol. 70(1), pages 38-64, January.
  • Handle: RePEc:kap:jrefec:v:70:y:2025:i:1:d:10.1007_s11146-023-09970-z
    DOI: 10.1007/s11146-023-09970-z
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    References listed on IDEAS

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    1. Glenn Otto & Nigel Stapledon, 2017. "How Predictable? Rent Growth and Returns in Sydney and Melbourne Housing Markets," Discussion Papers 2017-01, School of Economics, The University of New South Wales.
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    Keywords

    Rent; Price; Large Investors;
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