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Competitive Imperfect Price Discrimination and Market Power

Author

Listed:
  • Paul Belleflamme
  • Wing Man Wynne Lam
  • Wouter Vergote

Abstract

Two duopolists compete in price on the market for a homogeneous product. They can ‘profile’ consumers, i.e., identify their valuations with some probability. If both firms can profile consumers but with different abilities, then they achieve positive expected profits at equilibrium. This provides a rationale for firms to (partially and unequally) share data about consumers, or for data brokers to sell different customer analytics to competing firms. Consumers prefer that both firms profile exactly the same set of consumers, or that only one firm profiles consumers, as this entails marginal cost pricing (so does a policy requiring list prices to be public). Otherwise, more protective privacy regulations have ambiguous effects on consumer surplus.

Suggested Citation

  • Paul Belleflamme & Wing Man Wynne Lam & Wouter Vergote, 2019. "Competitive Imperfect Price Discrimination and Market Power," CESifo Working Paper Series 7964, CESifo.
  • Handle: RePEc:ces:ceswps:_7964
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Rosa-Branca Esteves & Francisco Carballo-Cruz, 2021. "Access to Data for Personalized Pricing: Can it raise entry barriers and abuse of dominance concerns?," NIPE Working Papers 05/2021, NIPE - Universidade do Minho.
    2. David Bounies & Antoine Dubus & Patrick Waelbroeck, 2020. "Market for Information and Selling Mechanisms," Working Papers ECARES 2020-07, ULB -- Universite Libre de Bruxelles.
    3. Chongwoo Choe & Noriaki Matsushima & Mark J. Tremblay, 2020. "Behavior-Based Personalized Pricing: When Firms Can Share Customer Information," ISER Discussion Paper 1083r, Institute of Social and Economic Research, Osaka University, revised Jul 2021.
    4. David Bounie & Antoine Dubus & Patrick Waelbroeck, 2020. "Market for Information and Selling Mechanisms," CESifo Working Paper Series 8307, CESifo.
    5. Yiquan Gu & Leonardo Madio & Carlo Reggiani, 2019. "Data Brokers Co-Opetition," CESifo Working Paper Series 7523, CESifo.
    6. Marta Rocha & Thomas Greve, 2021. "Contracting in a Market with Differential Information," Journal of Industry, Competition and Trade, Springer, vol. 21(2), pages 193-210, June.
    7. Antoine Dubus, 2021. "Behavior-Based Price Discrimination with endogenous data collection and strategic customer targeting," Working Papers hal-03269586, HAL.
    8. Chongwoo Choe & Noriaki Matsushima & Mark J. Tremblay, 2020. "Behavior-Based Personalized Pricing: When Firms Can Share Customer Information," ISER Discussion Paper 1083, Institute of Social and Economic Research, Osaka University.
    9. Yiquan Gu & Leonardo Madio & Carlo Reggiani, 2019. "Exclusive Data, Price Manipulation and Market Leadership," CESifo Working Paper Series 7853, CESifo.

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    More about this item

    Keywords

    price discrimination; price dispersion; Bertrand competition; privacy; big data;
    All these keywords.

    JEL classification:

    • D11 - Microeconomics - - Household Behavior - - - Consumer Economics: Theory
    • D18 - Microeconomics - - Household Behavior - - - Consumer Protection
    • L12 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Monopoly; Monopolization Strategies
    • L86 - Industrial Organization - - Industry Studies: Services - - - Information and Internet Services; Computer Software

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