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Platform pricing in matching markets

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  • Maarten GOOS
  • Patrick VAN CAYSEELE
  • Bert WILLEKENS

Abstract

This paper develops a simple model of monopoly platform pricing accounting for two pertinent features of matching markets. 1) The trading process is characterized by search and matching frictions implying limits to positive cross-side network effects and the presence of own-side congestion. 2)Matched agents bargain over the division of the match surplus depending on the qualitative characteristics of both parties. We find that, compared to the frictionless benchmark typically analyzed in the classic platform pricing literature, the harms of monopoly market power are mitigated by frictions. However, when the platform is allowed to make investments in the reduction of frictions, a private platform is likely to under-invest compared to a Pigouvian platform. In addition, accounting for user quality differentiation further reduces classic harms of monopoly market power when user quality types are complements in creation of the match surplus. In this case it is socially desirable to attract smaller groups of users with higher average quality to maximize the aggregate match surplus, resulting in a downward price distortion. This result is reversed when quality types are substitutes and the distortion disappears when they are strategically independent.

Suggested Citation

  • Maarten GOOS & Patrick VAN CAYSEELE & Bert WILLEKENS, 2011. "Platform pricing in matching markets," Working Papers of Department of Economics, Leuven ces11.32, KU Leuven, Faculty of Economics and Business (FEB), Department of Economics, Leuven.
  • Handle: RePEc:ete:ceswps:ces11.32
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    References listed on IDEAS

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    Cited by:

    1. Cecilia Grieco & Gennaro Iasevoli, 2022. "Paths and patterns of value capture innovation in sharing economy," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 21(3), pages 255-261, June.
    2. Niedermayer, Andras & Shneyerov, Artyom, 2013. "For-Profit Search Platforms," Discussion Paper Series of SFB/TR 15 Governance and the Efficiency of Economic Systems 436, Free University of Berlin, Humboldt University of Berlin, University of Bonn, University of Mannheim, University of Munich.
    3. Tang, Hua & Chen, Jing & Ai, Xingzheng & Li, Xiaojing & He, Haojia, 2023. "First-party content decision under competitive hardware/software platforms: Free vs. charge," European Journal of Operational Research, Elsevier, vol. 311(3), pages 1068-1083.
    4. Steffen, Nico & Wiewiorra, Lukas & Kroon, Peter, 2021. "Wettbewerb und Regulierung in der Plattform- und Datenökonomie," WIK Discussion Papers 481, WIK Wissenschaftliches Institut für Infrastruktur und Kommunikationsdienste GmbH.

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