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Market for Information and Selling Mechanisms

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  • David Bounies
  • Antoine Dubus
  • Patrick Waelbroeck

Abstract

We investigate the strategies of a data intermediary selling consumer information to firms for price discrimination purpose. We analyze how the mechanism through which the data intermediary sells information influences how much consumer information she will collect and sell to firms, and how it impacts consumer surplus. We consider three selling mechanisms tailored to sell consumer information: take it or leave it, sequential bargaining, and auctions. We show that the more information the intermediary collects, the lower consumer surplus. Consumer information collection is minimized, and consumer surplus maximized under the take it or leave it mechanism, which is the least profitable mechanism for the intermediary. We discuss two regulatory tools { a data minimization principle and a price cap { that can be used by data protection agencies and competition authorities to limit consumer information collection, increase consumer surplus, and ensure a fair access to information to firms.

Suggested Citation

  • David Bounies & Antoine Dubus & Patrick Waelbroeck, 2020. "Market for Information and Selling Mechanisms," Working Papers ECARES 2020-07, ULB -- Universite Libre de Bruxelles.
  • Handle: RePEc:eca:wpaper:2013/303840
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    References listed on IDEAS

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    1. Dirk Bergemann & Alessandro Bonatti, 2018. "Markets for Information: An Introduction," Cowles Foundation Discussion Papers 2142, Cowles Foundation for Research in Economics, Yale University.
    2. Alessandro Acquisti & Hal R. Varian, 2005. "Conditioning Prices on Purchase History," Marketing Science, INFORMS, vol. 24(3), pages 367-381, May.
    3. Josh Lerner & Jean Tirole, 2004. "Efficient Patent Pools," American Economic Review, American Economic Association, vol. 94(3), pages 691-711, June.
    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. Paul R. Milgrom & Steven Tadelis, 2018. "How Artificial Intelligence and Machine Learning Can Impact Market Design," NBER Chapters, in: The Economics of Artificial Intelligence: An Agenda, pages 567-585, National Bureau of Economic Research, Inc.
    6. David Bounie & Antoine Dubus & Patrick Waelbroeck, 2018. "Selling Strategic Information in Digital Competitive Markets," Working Papers hal-01794886, HAL.
    7. Michael L. Katz & Carl Shapiro, 1986. "How to License Intangible Property," The Quarterly Journal of Economics, Oxford University Press, vol. 101(3), pages 567-589.
    8. Matthew Backus & Thomas Blake & Steven Tadelis, 2019. "On the Empirical Content of Cheap-Talk Signaling: An Application to Bargaining," Journal of Political Economy, University of Chicago Press, vol. 127(4), pages 1599-1628.
    9. Dirk Bergemann & Alessandro Bonatti & Tan Gan, 2019. "The Economics of Social Data," Cowles Foundation Discussion Papers 2203R, Cowles Foundation for Research in Economics, Yale University, revised Mar 2020.
    10. Ken Binmore & Ariel Rubinstein & Asher Wolinsky, 1986. "The Nash Bargaining Solution in Economic Modelling," RAND Journal of Economics, The RAND Corporation, vol. 17(2), pages 176-188, Summer.
    11. Patrick Rey & Jean Tirole, 2019. "Price Caps as Welfare-Enhancing Coopetition," Journal of Political Economy, University of Chicago Press, vol. 127(6), pages 3018-3069.
    12. 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.
    13. Paul Klemperer, 1999. "Auction Theory: A Guide to the Literature," Journal of Economic Surveys, Wiley Blackwell, vol. 13(3), pages 227-286, July.
    14. David Bounie & Antoine Dubus & Patrick Waelbroeck, 2018. "Selling Strategic Information in Digital Competitive Markets," CESifo Working Paper Series 7078, CESifo.
    15. 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.
    16. John Riley & Richard Zeckhauser, 1983. "Optimal Selling Strategies: When to Haggle, When to Hold Firm," The Quarterly Journal of Economics, Oxford University Press, vol. 98(2), pages 267-289.
    17. Anne Layne-Farrar & A. Jorge Padilla & Richard Schmalensee, 2007. "Pricing Patents for Licensing in Standard Setting Organizations: Making Sense of FRAND Commitments," Working Papers wp2007_0702, CEMFI.
    18. Hal Varian, 2018. "Artificial Intelligence, Economics, and Industrial Organization," NBER Chapters, in: The Economics of Artificial Intelligence: An Agenda, pages 399-419, National Bureau of Economic Research, Inc.
    19. Ramon Casadesus-Masanell & Andres Hervas-Drane, 2015. "Competing with Privacy," Management Science, INFORMS, vol. 61(1), pages 229-246, January.
    20. Matthew Backus & Thomas Blakee & Brad Larsen & Steven Tadelis, 2020. "Sequential Bargaining in the Field: Evidence from Millions of Online Bargaining Interactions," The Quarterly Journal of Economics, Oxford University Press, vol. 135(3), pages 1319-1361.
    21. 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.
    22. Klemperer, Paul, 1999. " Auction Theory: A Guide to the Literature," Journal of Economic Surveys, Wiley Blackwell, vol. 13(3), pages 227-86, July.
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