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Profit Effects of Consumers’ Identity Management: A Dynamic Model

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  • Didier Laussel

    (Aix-Marseille School of Economics, Aix-Marseille University, 13001 Marseille, France; National Centre for Scientific Research, 75016 Paris, France; School for Advanced Studies in the Social Sciences, 75006 Paris, France)

  • Ngo Van Long

    (Department of Economics, McGill University, Montreal, Quebec H3A 0G4, Canada; Research School of Economics, Australian National University, Acton ACT 2601, Australia)

  • Joana Resende

    (Cef.up, Economics Department, University of Porto, 4099-002 Porto, Portugal)

Abstract

We consider a nondurable good monopolist that collects data on its customers in order to profile them and subsequently practice price discrimination on returning customers. The monopolist’s price discrimination scheme is leaky in the sense that an endogenous fraction of consumers choose to incur a privacy cost to conceal their identity when they return in the following periods. We characterize the Markov perfect equilibrium of the game under two alternative customer profiling regimes: full information acquisition (FIA) and purchase history information (PHI). In both cases, we find that, contrary to what could be expected, the monopolist’s aggregate profit is not monotonically increasing in the level of the privacy cost, but a U-shaped function of it, leading to ambiguous profit effects: a reduction in privacy costs increases the fraction of customers who choose to be anonymous (detrimental profit effect), but it also softens the firm’s introductory price, reducing the pace at which prices targeted to new customers fall over time (positive profit effect). When comparing results under FIA and PHI, we find that market expansion is faster, and more customers conceal their identity under FIA than under PHI. Equilibrium profits are also higher in the FIA case. Although equilibrium profits are U-shaped functions of the privacy cost in both profiling regimes, they tend to be globally decreasing with the privacy cost under PHI and globally increasing under FIA.

Suggested Citation

  • Didier Laussel & Ngo Van Long & Joana Resende, 2023. "Profit Effects of Consumers’ Identity Management: A Dynamic Model," Management Science, INFORMS, vol. 69(6), pages 3602-3615, June.
  • Handle: RePEc:inm:ormnsc:v:69:y:2023:i:6:p:3602-3615
    DOI: 10.1287/mnsc.2022.4511
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    1. 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.
    2. Belleflamme, Paul & Vergote, Wouter, 2016. "Monopoly price discrimination and privacy: The hidden cost of hiding," Economics Letters, Elsevier, vol. 149(C), pages 141-144.
    3. Alessandro Acquisti & Hal R. Varian, 2005. "Conditioning Prices on Purchase History," Marketing Science, INFORMS, vol. 24(3), pages 367-381, May.
    4. Rodrigo Montes & Wilfried Sand-Zantman & Tommaso Valletti, 2019. "The Value of Personal Information in Online Markets with Endogenous Privacy," Management Science, INFORMS, vol. 65(3), pages 1342-1362, March.
    5. Jentzsch, Nicola, 2016. "State-of-the-Art of the Economics of Cyber-Security and Privacy," EconStor Research Reports 126223, ZBW - Leibniz Information Centre for Economics.
    6. 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.
    7. Curtis R. Taylor, 2004. "Consumer Privacy and the Market for Customer Information," RAND Journal of Economics, The RAND Corporation, vol. 35(4), pages 631-650, Winter.
    8. Esteves, Rosa-Branca, 2009. "Price discrimination with partial information: Does it pay off?," Economics Letters, Elsevier, vol. 105(1), pages 28-31, October.
    9. Yongmin Chen, 1997. "Paying Customers to Switch," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 6(4), pages 877-897, December.
    10. Zhijun Chen & Chongwoo Choe & Noriaki Matsushima, 2020. "Competitive Personalized Pricing," Management Science, INFORMS, vol. 66(9), pages 4003-4023, September.
    11. Anita Rao, 2015. "Online Content Pricing: Purchase and Rental Markets," Marketing Science, INFORMS, vol. 34(3), pages 430-451, May.
    12. Simon Anderson & Alicia Baik & Nathan Larson, 2023. "Price Discrimination in the Information Age: Prices, Poaching, and Privacy with Personalized Targeted Discounts," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 90(5), pages 2085-2115.
    13. Drew Fudenberg & Jean Tirole, 2000. "Customer Poaching and Brand Switching," RAND Journal of Economics, The RAND Corporation, vol. 31(4), pages 634-657, Winter.
    14. Ramon Casadesus-Masanell & Andres Hervas-Drane, 2015. "Competing with Privacy," Management Science, INFORMS, vol. 61(1), pages 229-246, January.
    15. Thomas Gehrig & Oz Shy & Rune Stenbacka, 2012. "A Welfare Evaluation of History-Based Price Discrimination," Journal of Industry, Competition and Trade, Springer, vol. 12(4), pages 373-393, December.
    16. Chongwoo Choe & Stephen King & Noriaki Matsushima, 2018. "Pricing with Cookies: Behavior-Based Price Discrimination and Spatial Competition," Management Science, INFORMS, vol. 64(12), pages 5669-5687, December.
    17. Anderson, Simon & Baik, Alicia & Larson, Nathan, 2015. "Personalized pricing and advertising: An asymmetric equilibrium analysis," Games and Economic Behavior, Elsevier, vol. 92(C), pages 53-73.
    18. Esteves, Rosa-Branca, 2010. "Pricing with customer recognition," International Journal of Industrial Organization, Elsevier, vol. 28(6), pages 669-681, November.
    19. Laussel, Didier & Long, Ngo Van & Resende, Joana, 2020. "Quality and price personalization under customer recognition: A dynamic monopoly model with contrasting equilibria," Journal of Economic Dynamics and Control, Elsevier, vol. 114(C).
    20. Bleier, Alexander & Goldfarb, Avi & Tucker, Catherine, 2020. "Consumer privacy and the future of data-based innovation and marketing," International Journal of Research in Marketing, Elsevier, vol. 37(3), pages 466-480.
    21. J. Miguel Villas-Boas, 2004. "Price Cycles in Markets with Customer Recognition," RAND Journal of Economics, The RAND Corporation, vol. 35(3), pages 486-501, Autumn.
    22. Shota Ichihashi, 2020. "Online Privacy and Information Disclosure by Consumers," American Economic Review, American Economic Association, vol. 110(2), pages 569-595, February.
    23. Gehrig, Thomas & Shy, Oz & Stenbacka, Rune, 2011. "History-based price discrimination and entry in markets with switching costs: A welfare analysis," European Economic Review, Elsevier, vol. 55(5), pages 732-739, June.
    24. J. Miguel Villas-Boas, 1999. "Dynamic Competition with Customer Recognition," RAND Journal of Economics, The RAND Corporation, vol. 30(4), pages 604-631, Winter.
    25. Yongmin Chen & Jason Pearcy, 2010. "Dynamic pricing: when to entice brand switching and when to reward consumer loyalty," RAND Journal of Economics, RAND Corporation, vol. 41(4), pages 674-685, December.
    26. Stole, Lars A., 2007. "Price Discrimination and Competition," Handbook of Industrial Organization, in: Mark Armstrong & Robert Porter (ed.), Handbook of Industrial Organization, edition 1, volume 3, chapter 34, pages 2221-2299, Elsevier.
    27. Carroni, Elias, 2016. "Competitive customer poaching with asymmetric firms," International Journal of Industrial Organization, Elsevier, vol. 48(C), pages 173-206.
    28. Laussel, Didier & Long, Ngo Van & Resende, Joana, 2019. "The Curse of Knowledge: Having Access to Customer Information Can be Detrimental to Monopoly’s Profit," Discussion paper series HIAS-E-93, Hitotsubashi Institute for Advanced Study, Hitotsubashi University.
    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. Peitz, Martin & Waldfogel, Joel, 2012. "The Oxford Handbook of the Digital Economy," OUP Catalogue, Oxford University Press, number 9780195397840.
    31. Akan, Mustafa & Ata, Barış & Dana, James D., 2015. "Revenue management by sequential screening," Journal of Economic Theory, Elsevier, vol. 159(PB), pages 728-774.
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    More about this item

    Keywords

    dynamic programming; optimal control; Markov; economics; game theory; bargaining theory; games; group decisions;
    All these keywords.

    JEL classification:

    • C73 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Stochastic and Dynamic Games; Evolutionary Games
    • D42 - Microeconomics - - Market Structure, Pricing, and Design - - - Monopoly
    • L12 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Monopoly; Monopolization Strategies
    • L15 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Information and Product Quality

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