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Competitive Imperfect Price Discrimination and Market Power

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  • 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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    Cited by:

    1. Mauring, Eeva, 2022. "Search and Price Discrimination Online," CEPR Discussion Papers 15729, C.E.P.R. Discussion Papers.
    2. Yiquan Gu & Leonardo Madio & Carlo Reggiani, 2022. "Data brokers co-opetition [The impact of big data on firm performance: an empirical investigation]," Oxford Economic Papers, Oxford University Press, vol. 74(3), pages 820-839.
    3. Choe, Chongwoo & Matsushima, Noriaki & Tremblay, Mark J., 2022. "Behavior-based personalized pricing: When firms can share customer information," International Journal of Industrial Organization, Elsevier, vol. 82(C).
    4. Groh, Carl-Christian, 2023. "Search, Data, and Market Power," VfS Annual Conference 2023 (Regensburg): Growth and the "sociale Frage" 277701, Verein für Socialpolitik / German Economic Association.
    5. David Bounie & Antoine Dubus & Patrick Waelbroeck, 2020. "Market for Information and Selling Mechanisms," CESifo Working Paper Series 8307, CESifo.
    6. 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.
    7. David Bounie & Antoine Dubus & Patrick Waelbroeck, 2021. "Competition and Mergers with Strategic Data Intermediaries," CESifo Working Paper Series 9339, CESifo.
    8. Jean-Marc Zogheib & Marc Bourreau, 2021. "Privacy, Competition, and Multi-Homing," EconomiX Working Papers 2021-15, University of Paris Nanterre, EconomiX.
    9. Yiquan Gu & Leonardo Madio & Carlo Reggiani, 2019. "Exclusive Data, Price Manipulation and Market Leadership," CESifo Working Paper Series 7853, CESifo.
    10. 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.
    11. 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.
    12. David Bounie & Antoine Dubus & Patrick Waelbroeck, 2021. "Selling strategic information in digital competitive markets," RAND Journal of Economics, RAND Corporation, vol. 52(2), pages 283-313, June.
    13. Stefano Colombo & Clara Graziano & Aldo Pignataro, 2023. "Personalized Pricing with Imperfect Customer Recognition," CESifo Working Paper Series 10455, CESifo.
    14. Antoine Dubus, 2023. "Behavior-Based Algorithmic Pricing," Working Papers hal-03269586, HAL.
    15. Flavio Pino, 2022. "The microeconomics of data – a survey," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 49(3), pages 635-665, September.
    16. DELBONO Flavio & REGGIANI Carlo & SANDRINI Luca, 2021. "Strategic data sales to competing firms," JRC Working Papers on Digital Economy 2021-05, Joint Research Centre.
    17. David Bounies & Antoine Dubus & Patrick Waelbroeck, 2020. "Market for Information and Selling Mechanisms," Working Papers ECARES 2020-07, ULB -- Universite Libre de Bruxelles.
    18. Ronen Gradwohl & Moshe Tennenholtz, 2022. "Pareto-Improving Data-Sharing," Papers 2205.11295, arXiv.org.
    19. David Bounie & Antoine Dubus & Patrick Waelbroeck, 2023. "Competition Between Strategic Data Intermediaries with Implications for Merger Policy," Working Papers hal-03336520, HAL.
    20. Clavorà Braulin, Francesco, 2023. "The effects of personal information on competition: Consumer privacy and partial price discrimination," International Journal of Industrial Organization, Elsevier, vol. 87(C).
    21. David Bounie & Antoine Dubus & Patrick Waelbroeck, 2022. "Market for Information and Selling Mechanisms," CER-ETH Economics working paper series 22/367, CER-ETH - Center of Economic Research (CER-ETH) at ETH Zurich.
    22. Zhang, Zhiming & Ren, Da & Lan, Yanfei & Yang, Shanxue, 2022. "Price competition and blockchain adoption in retailing markets," European Journal of Operational Research, Elsevier, vol. 300(2), pages 647-660.
    23. Garcia, Daniel, 2022. "Harmonic price targeting," Information Economics and Policy, Elsevier, vol. 60(C).

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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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