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Competing Selling Strategies in the Housing Market

Author

Listed:
  • Ping Cheng

    (Florida Atlantic University)

  • Zhenguo Lin

    (Florida International University)

  • Yingchun Liu

    (University of North Texas)

Abstract

Due to the heterogeneous nature of real estate assets, housing market is characterized by a sequential search and seller’s optimal strategies. This paper provides a side-by-side performance comparison of the two competing stopping rules (i.e, the reservation rule and the number rule) in the housing market. It demonstrates that the selling strategies by these two stopping rules are not mutually exclusive, and the optimal choice of the two strategies varies over market conditions. Our analyses reveal clear evidence that no strategy consistently outperforms the other under all market conditions. Therefore, a single selling strategy is likely to result in suboptimal selling outcomes, and the widely-used reservation rule in academic research is likely to result in biased findings. Furthermore, we identify the explicit impact of several supply and demand factors on the optimal trading outcome and provide rich insights into optimal selling strategies in the housing market.

Suggested Citation

  • Ping Cheng & Zhenguo Lin & Yingchun Liu, 2021. "Competing Selling Strategies in the Housing Market," The Journal of Real Estate Finance and Economics, Springer, vol. 63(3), pages 394-413, October.
    • Handle: RePEc:kap:jrefec:v:63:y:2021:i:3:d:10.1007_s11146-020-09778-1
    DOI: 10.1007/s11146-020-09778-1
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    References listed on IDEAS

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    Cited by:

    1. Fan, Ying & Fu, Yuqi & Yang, Zan & Chen, Ming, 2023. "Search Frictions in Rental Markets: Evidence from Urban China," Working Paper Series 23/11, Royal Institute of Technology, Department of Real Estate and Construction Management & Banking and Finance.

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