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Market for Information and Selling Mechanisms

Author

Listed:
  • David Bounie
  • 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 Bounie & Antoine Dubus & Patrick Waelbroeck, 2020. "Market for Information and Selling Mechanisms," CESifo Working Paper Series 8307, CESifo.
  • Handle: RePEc:ces:ceswps:_8307
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    References listed on IDEAS

    as
    1. Dirk Bergemann & Alessandro Bonatti & Alex Smolin, 2018. "The Design and Price of Information," American Economic Review, American Economic Association, vol. 108(1), pages 1-48, January.
    2. Rubinstein, Ariel, 1982. "Perfect Equilibrium in a Bargaining Model," Econometrica, Econometric Society, vol. 50(1), pages 97-109, January.
    3. Dirk Bergemann & Alessandro Bonatti, 2019. "Markets for Information: An Introduction," Annual Review of Economics, Annual Reviews, vol. 11(1), pages 85-107, August.
    4. Alessandro Acquisti & Hal R. Varian, 2005. "Conditioning Prices on Purchase History," Marketing Science, INFORMS, vol. 24(3), pages 367-381, May.
    5. 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.
    6. Josh Lerner & Jean Tirole, 2004. "Efficient Patent Pools," American Economic Review, American Economic Association, vol. 94(3), pages 691-711, June.
    7. 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.
    8. David Bounie & Antoine Dubus & Patrick Waelbroeck, 2018. "Selling Strategic Information in Digital Competitive Markets," Working Papers hal-01794886, HAL.
    9. Michael L. Katz & Carl Shapiro, 1986. "How to License Intangible Property," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 101(3), pages 567-589.
    10. 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.
    11. Dirk Bergemann & Alessandro Bonatti & Tan Gan, 2022. "The economics of social data," RAND Journal of Economics, RAND Corporation, vol. 53(2), pages 263-296, June.
    12. 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.
    13. 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.
    14. Qihong Liu & Konstantinos Serfes, 2004. "Quality of Information and Oligopolistic Price Discrimination," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 13(4), pages 671-702, December.
    15. 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.
    16. Paul Klemperer, 1999. "Auction Theory: A Guide to the Literature," Journal of Economic Surveys, Wiley Blackwell, vol. 13(3), pages 227-286, July.
    17. 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.
    18. Dirk Bergemann & Alessandro Bonatti, 2015. "Selling Cookies," American Economic Journal: Microeconomics, American Economic Association, vol. 7(3), pages 259-294, August.
    19. John Riley & Richard Zeckhauser, 1983. "Optimal Selling Strategies: When to Haggle, When to Hold Firm," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 98(2), pages 267-289.
    20. Paul Belleflamme & Wing Man Wynne Lam & Wouter Vergote, 2019. "Competitive Imperfect Price Discrimination and Market Power," CESifo Working Paper Series 7964, CESifo.
    21. 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.
    22. 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.
    23. Figueroa, Nicolás & Skreta, Vasiliki, 2009. "The role of optimal threats in auction design," Journal of Economic Theory, Elsevier, vol. 144(2), pages 884-897, March.
    24. Ramon Casadesus-Masanell & Andres Hervas-Drane, 2015. "Competing with Privacy," Management Science, INFORMS, vol. 61(1), pages 229-246, January.
    25. Dominic Coey & Bradley J. Larsen & Brennan C. Platt, 2020. "Discounts and Deadlines in Consumer Search," American Economic Review, American Economic Association, vol. 110(12), pages 3748-3785, December.
    26. Bradley J Larsen, 2021. "The Efficiency of Real-World Bargaining: Evidence from Wholesale Used-Auto Auctions," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 88(2), pages 851-882.
    27. 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.
    28. 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, President and Fellows of Harvard College, vol. 135(3), pages 1319-1361.
    29. Bulow, Jeremy I. & Klemperer, Paul, 1994. "Auctions vs. Negotiations," CEPR Discussion Papers 924, C.E.P.R. Discussion Papers.
    30. 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.
    31. 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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    Cited by:

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    More about this item

    Keywords

    market for information; competition; price discrimination; data collection; privacy; selling mechanisms;
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