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Peer-to-Peer Markets with Bilateral Ratings

Author

Listed:
  • T. Tony Ke

    (MIT Sloan School of Management)

  • Baojun Jiang

    (Washington University in St. Louis)

  • Monic Sun

    (Boston University)

Abstract

We consider a platform that matches service providers with potential customers. Ratings of a service provider reveal the quality of his service while ratings of a consumer reveal the cost to serve her. Under a competitive search framework, we study how bilateral ratings influence market competition and segmentation. Two types of equilibria exist under bilateral ratings. In the first type, low-cost consumers only apply to high-quality service providers, who post a higher price, have longer queues and are less likely to accept an application than low-quality providers. High-cost consumers apply to all service providers and have a lower acceptance rate. In the second type of equilibria, both high- and low-quality service providers serve all consumers. Across all equilibria, equilibrium prices may decrease as the fraction of high-quality providers increases, as consumers become more costly to serve, and as the platform's commission rate increases. Compared with a platform with unilateral ratings where only service providers are rated, a platform with bilateral ratings may soften service providers' competition, leading to higher equilibrium prices. Lastly, we find that in the case of incomplete market coverage, high-quality service providers may charge lower prices than low-quality providers in equilibrium, because by charging a lower price, a high-quality service provider attracts more consumer applications, which enables him to cherrypick a low-cost consumer, while a low-quality service provider faces with consumers with higher serving costs and thus charge a higher price to make up the serving cost.

Suggested Citation

  • T. Tony Ke & Baojun Jiang & Monic Sun, 2017. "Peer-to-Peer Markets with Bilateral Ratings," Working Papers 17-01, NET Institute.
  • Handle: RePEc:net:wpaper:1701
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    Citations

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    Cited by:

    1. Vladimir Pavlov & Ron Berman, 2019. "Price Manipulation in Peer-to-Peer Markets and the Sharing Economy," Working Papers 19-10, NET Institute.
    2. Xu, Yu & Hazée, Simon & So, Kevin Kam Fung & Li, K. Daisy & Malthouse, Edward Carl, 2021. "An evolutionary perspective on the dynamics of service platform ecosystems for the sharing economy," Journal of Business Research, Elsevier, vol. 135(C), pages 127-136.

    More about this item

    Keywords

    Platform; Peer-to-Peer; Competitive Search; Matching; Reviews; Information Disclosure; Segmentation;
    All these keywords.

    JEL classification:

    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • M31 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Marketing

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