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The effects of personal information on competition: Consumer privacy and partial price discrimination

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  • Clavorà Braulin, Francesco

Abstract

This article studies the effects of consumer information on the intensity of competition. In a two dimensional duopoly model of horizontal product differentiation, firms use consumer information to price discriminate. I contrast a full privacy and a no privacy benchmark with intermediate regimes in which the firms can profile consumers only partially. I show that with partial privacy firms are always better-off with price discrimination: the relationship between information and profits is hump-shaped. In particular, competing firms prefer to target consumers with partial but asymmetric information about preferences. Instead, consumers prefer either no or full privacy in aggregate, but the effects of information on individual surplus are ambiguous: there are always winners and losers. Finally, I study the information acquisition incentives of the firms when there is an external data seller. When this upstream data broker holds partially informative data, an exclusive allocation arises. Instead, when data is fully informative, each competitor acquires consumer data but on a different dimension. These findings are relevant for the strategic decisions of firms active in digital markets and contribute to the policy debate surrounding privacy, exclusive access to data and competition.

Suggested Citation

  • 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).
  • Handle: RePEc:eee:indorg:v:87:y:2023:i:c:s016771872300005x
    DOI: 10.1016/j.ijindorg.2023.102923
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    References listed on IDEAS

    as
    1. 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.
    2. Kenneth S. Corts, 1998. "Third-Degree Price Discrimination in Oligopoly: All-Out Competition and Strategic Commitment," RAND Journal of Economics, The RAND Corporation, vol. 29(2), pages 306-323, Summer.
    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. Paul Belleflamme & Wing Man Wynne Lam & Wouter Vergote, 2019. "Competitive Imperfect Price Discrimination and Market Power," CESifo Working Paper Series 7964, CESifo.
    5. Belleflamme, Paul & Vergote, Wouter, 2016. "Monopoly price discrimination and privacy: The hidden cost of hiding," Economics Letters, Elsevier, vol. 149(C), pages 141-144.
    6. Drew Fudenberg & Jean Tirole, 2000. "Customer Poaching and Brand Switching," RAND Journal of Economics, The RAND Corporation, vol. 31(4), pages 634-657, Winter.
    7. Liu, Qihong & Shuai, Jie, 2013. "Multi-dimensional price discrimination," International Journal of Industrial Organization, Elsevier, vol. 31(5), pages 417-428.
    8. V. Bhaskar & Ted To, 2004. "Is Perfect Price Discrimination Really Efficient? An Analysis of Free Entry," RAND Journal of Economics, The RAND Corporation, vol. 35(4), pages 762-776, Winter.
    9. Zhijun Chen & Chongwoo Choe & Noriaki Matsushima, 2020. "Competitive Personalized Pricing," Management Science, INFORMS, vol. 66(9), pages 4003-4023, September.
    10. Yiquan Gu & Leonardo Madio & Carlo Reggiani, 2019. "Exclusive Data, Price Manipulation and Market Leadership," CESifo Working Paper Series 7853, CESifo.
    11. Armstrong, Mark, 2006. "Price discrimination," MPRA Paper 4693, University Library of Munich, Germany.
    12. Hindermann, Christoph Michael, 2018. "Price Discrimination in Online Retail," EconStor Preprints 181294, ZBW - Leibniz Information Centre for Economics.
    13. Thisse, Jacques-Francois & Vives, Xavier, 1988. "On the Strategic Choice of Spatial Price Policy," American Economic Review, American Economic Association, vol. 78(1), pages 122-137, March.
    14. Taylor, Curtis & Wagman, Liad, 2014. "Consumer privacy in oligopolistic markets: Winners, losers, and welfare," International Journal of Industrial Organization, Elsevier, vol. 34(C), pages 80-84.
    15. Esteves, Rosa-Branca, 2009. "Price discrimination with partial information: Does it pay off?," Economics Letters, Elsevier, vol. 105(1), pages 28-31, October.
    16. Clavorà Braulin, Francesco & Valletti, Tommaso, 2016. "Selling customer information to competing firms," Economics Letters, Elsevier, vol. 149(C), pages 10-14.
    17. Paul Belleflamme & Wing Man Wynne Lam, & Wouter Vergote, 2020. "Competitive Imperfect Price Discrimination and Market Power," Marketing Science, INFORMS, vol. 39(5), pages 996-1015, September.
    18. Alessandro Acquisti & Curtis Taylor & Liad Wagman, 2016. "The Economics of Privacy," Journal of Economic Literature, American Economic Association, vol. 54(2), pages 442-492, June.
    19. Philippe Jehiel & Benny Moldovanu, 2000. "Auctions with Downstream Interaction Among Buyers," RAND Journal of Economics, The RAND Corporation, vol. 31(4), pages 768-791, Winter.
    20. Carmen Matutes & Pierre Regibeau, 1988. ""Mix and Match": Product Compatibility without Network Externalities," RAND Journal of Economics, The RAND Corporation, vol. 19(2), pages 221-234, Summer.
    21. Anette Boom, 2001. "On the Desirability of Compatibility with Product Selection," Journal of Industrial Economics, Wiley Blackwell, vol. 49(1), pages 85-96, March.
    22. Ramon Casadesus-Masanell & Andres Hervas-Drane, 2015. "Competing with Privacy," Management Science, INFORMS, vol. 61(1), pages 229-246, January.
    23. 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.
    24. Alexandre de Cornière & Romain de Nijs, 2016. "Online advertising and privacy," RAND Journal of Economics, RAND Corporation, vol. 47(1), pages 48-72, February.
    25. Lewis, Matthew S., 2021. "Identifying airline price discrimination and the effect of competition," International Journal of Industrial Organization, Elsevier, vol. 78(C).
    26. Jentzsch, Nicola & Sapi, Geza & Suleymanova, Irina, 2013. "Targeted pricing and customer data sharing among rivals," International Journal of Industrial Organization, Elsevier, vol. 31(2), pages 131-144.
    27. J. Miguel Villas-Boas, 1999. "Dynamic Competition with Customer Recognition," RAND Journal of Economics, The RAND Corporation, vol. 30(4), pages 604-631, Winter.
    28. Jean-Pierre Dubé & Zheng Fang & Nathan Fong & Xueming Luo, 2017. "Competitive Price Targeting with Smartphone Coupons," Marketing Science, INFORMS, vol. 36(6), pages 944-975, November.
    29. Vincent Conitzer & Curtis R. Taylor & Liad Wagman, 2012. "Hide and Seek: Costly Consumer Privacy in a Market with Repeat Purchases," Marketing Science, INFORMS, vol. 31(2), pages 277-292, March.
    30. Baye, Irina & Reiz, Tim & Sapi, Geza, 2018. "Customer recognition and mobile geo-targeting," DICE Discussion Papers 285, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).
    31. Nestor Duch-Brown & Bertin Martens & Frank Mueller-Langer, 2017. "The economics of ownership, access and trade in digital data," JRC Working Papers on Digital Economy 2017-01, Joint Research Centre.
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    Cited by:

    1. Ronen Gradwohl & Moshe Tennenholtz, 2023. "Selling Data to a Competitor (Extended Abstract)," Papers 2307.05078, arXiv.org.

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    More about this item

    Keywords

    Price discrimination; Data broker; Consumer information; Privacy;
    All these keywords.

    JEL classification:

    • D43 - Microeconomics - - Market Structure, Pricing, and Design - - - Oligopoly and Other Forms of Market Imperfection
    • K24 - Law and Economics - - Regulation and Business Law - - - Cyber Law
    • L11 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Production, Pricing, and Market Structure; Size Distribution of Firms
    • L13 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Oligopoly and Other Imperfect Markets

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