Price customization and targeting in matching markets.

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 fo...

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Publicado en:RAND Journal of Economics (Wiley-Blackwell) Vol. 55; no. 2; pp. 230 - 266
Autores principales: Gomes, Renato, Pavan, Alessandro
Formato: Artículo
Publicado: Wiley-Blackwell Jun2024
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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        atl: Price customization and targeting in matching markets.
      aug:
        au:
          Gomes, Renato
          Pavan, Alessandro
        affil:
          Central Bank of Brazil and Toulouse School of Economics, University of Toulouse Capitole, Toulouse, France
          Northwestern University and CEPR
      su:
        Prices
        Electronic commerce
        Target marketing
        Customization
        Price discrimination
      sug:
        subj:
          Prices
          Electronic commerce
          Target marketing
          Electronic shopping and mail-order houses
          Electronic Shopping
          Customization
          Price discrimination
      keyword:
        asymmetric information
        many‐to‐many matching
        platforms
        second‐ and third‐degree price discrimination
        targeting
        uniform pricing
        asymmetric information
        many‐to‐many matching
        platforms
        second‐ and third‐degree price discrimination
        targeting
        uniform pricing
      ab: 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.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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