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Price customization and targeting in matching markets

Author

Listed:
  • Renato Gomes

    (TSE-R - Toulouse School of Economics - UT Capitole - Université Toulouse Capitole - UT - Université de Toulouse - EHESS - École des hautes études en sciences sociales - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement)

  • Alessandro Pavan

    (TSE-R - Toulouse School of Economics - UT Capitole - Université Toulouse Capitole - UT - Université de Toulouse - EHESS - École des hautes études en sciences sociales - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement)

Abstract

We introduce a model of (platform-mediated) many-to-many matching in which agents' preferences are both vertically and horizontally differentiated. We first show how the model can be used to derive the profit-maximizing matching plans under customized pricing. We then investigate the implications for targeting and welfare of uniform pricing (be it explicitly mandated or induced by privacy regulation), preventing the platform from conditioning prices on agents' profiles. The model can be applied to study ad exchanges, online retailing, and media markets.

Suggested Citation

  • Renato Gomes & Alessandro Pavan, 2024. "Price customization and targeting in matching markets," Post-Print hal-04672444, HAL.
    • Handle: RePEc:hal:journl:hal-04672444
    DOI: 10.1111/1756-2171.12464
    as

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