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The impact of real estate agents on house prices near environmental disamenities

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  • Andres Jauregui
  • Diane Hite

Abstract

The purpose of this paper is to determine the impact of real estate agents on the price of houses that are located close to an environmental disamenity. Our main hypothesis is that real estate agents obtain higher prices than those theoretically expected when the houses are located closer to an environmental disamenity. We attribute this result to agents' ability to effectively match potential buyers to house sellers as well as their influence on bargaining power. Estimates from a sample selection corrected hedonic model suggest that the percentage increase in the house price obtained by a real estate agent is greater than the commission rate.

Suggested Citation

  • Andres Jauregui & Diane Hite, 2010. "The impact of real estate agents on house prices near environmental disamenities," Housing Policy Debate, Taylor & Francis Journals, vol. 20(2), pages 295-316, March.
  • Handle: RePEc:taf:houspd:v:20:y:2010:i:2:p:295-316
    DOI: 10.1080/10511481003738419
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    Cited by:

    1. Volkan Sevinç, 2022. "Determining the Flat Sales Prices by Flat Characteristics Using Bayesian Network Models," Computational Economics, Springer;Society for Computational Economics, vol. 59(2), pages 549-577, February.
    2. Alan Tidwell & Andres Jauregui & Vivek Sah & Andrew Narwold, 2018. "Cash and Distressed House Sales Price Discounts: Dual Sample Selection Spatial Interdependence Approaches," The Journal of Real Estate Finance and Economics, Springer, vol. 56(1), pages 101-139, January.
    3. Andres Jauregui & Alan Tidwell & Vivek Sah, 2019. "Sample Selection Approaches to Estimating and Allocating House Transaction Funding Price Differentials," The Journal of Real Estate Finance and Economics, Springer, vol. 58(3), pages 366-407, April.
    4. Andres Jauregui & Alan Tidwell & Diane Hite, 2017. "Sample Selection Approaches to Estimating House Price Cash Differentials," The Journal of Real Estate Finance and Economics, Springer, vol. 54(1), pages 117-137, January.

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