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Markets for Data

Author

Listed:
  • Alessandro Bonatti

    (MIT)

  • Dirk Bergemann

    (Yale University)

Abstract

We develop a model of data provision and data pricing in an environment with strategically interacting firms. The demand for data is generated by firms which seek to tailor their product positioning, or price, to either the individual or the aggregate demand. In turn, the data provider determines the amount of information released to the individual firms and the price to access it. We derive the optimal information and pricing policy of the data provider, under either individual or aggregate tailoring by the firms. We show that frequently the optimal information policy is to provide only partial and noisy information to the competing firms. In addition, the revenue of the data provider is commonly maximized by asymmetric or even exclusive information policies.

Suggested Citation

  • Alessandro Bonatti & Dirk Bergemann, 2012. "Markets for Data," 2012 Meeting Papers 538, Society for Economic Dynamics.
    • Handle: RePEc:red:sed012:538
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    References listed on IDEAS

    as
    1. Bergemann, Dirk & Pesendorfer, Martin, 2007. "Information structures in optimal auctions," Journal of Economic Theory, Elsevier, vol. 137(1), pages 580-609, November.
    2. Richard N. Clarke, 1983. "Collusion and the Incentives for Information Sharing," Bell Journal of Economics, The RAND Corporation, vol. 14(2), pages 383-394, Autumn.
    3. Vives, Xavier, 1984. "Duopoly information equilibrium: Cournot and bertrand," Journal of Economic Theory, Elsevier, vol. 34(1), pages 71-94, October.
    4. George-Marios Angeletos & Alessandro Pavan, 2007. "Efficient Use of Information and Social Value of Information," Econometrica, Econometric Society, vol. 75(4), pages 1103-1142, July.
    5. Raith, Michael, 1996. "A General Model of Information Sharing in Oligopoly," Journal of Economic Theory, Elsevier, vol. 71(1), pages 260-288, October.
    6. Juan-José Ganuza, 2004. "Ignorance Promotes Competition: An Auction Model of Endogenous Private Valuations," RAND Journal of Economics, The RAND Corporation, vol. 35(3), pages 583-598, Autumn.
    7. William Novshek & Hugo Sonnenschein, 1982. "Fulfilled Expectations Cournot Duopoly with Information Acquisition and Release," Bell Journal of Economics, The RAND Corporation, vol. 13(1), pages 214-218, Spring.
    8. Matthew Gentzkow & Emir Kamenica, 2011. "Competition in Persuasion," NBER Working Papers 17436, National Bureau of Economic Research, Inc.
    9. Dirk Bergemann & Alessandro Bonatti, 2011. "Targeting in advertising markets: implications for offline versus online media," RAND Journal of Economics, RAND Corporation, vol. 42(3), pages 417-443, September.
    10. repec:oup:restud:v:84:y::i:1:p:300-322. is not listed on IDEAS
    11. Juan-JosÈ Ganuza & JosÈ S. Penalva, 2010. "Signal Orderings Based on Dispersion and the Supply of Private Information in Auctions," Econometrica, Econometric Society, vol. 78(3), pages 1007-1030, May.
    Full references (including those not matched with items on IDEAS)

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    Cited by:

    1. Bertin Martens, 2018. "The impact of data access regimes on artificial intelligence and machine learning," JRC Working Papers on Digital Economy 2018-09, Joint Research Centre.

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