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Selling Strategic Information in Digital Competitive Markets

Author

Listed:
  • David Bounie
  • Antoine Dubus
  • Patrick Waelbroeck

Abstract

This paper investigates the strategies of a data broker in selling information to one or to two competing firms that can price-discriminate consumers. The data broker can strategically choose any segment of the consumer demand (information structure) to sell to firms that implement third-degree price-discrimination. We show that the equilibrium profits of the data broker are maximized when (1) information identifies the consumers with the highest willingness to pay; (2) consumers with a low willingness to pay remain unidentified; (3) the data broker sells two symmetrical information structures. The data broker therefore strategically sells partial information on consumers in order to soften competition between firms. Extending the baseline model, we prove that these results hold under first-degree price-discrimination.

Suggested Citation

  • David Bounie & Antoine Dubus & Patrick Waelbroeck, 2018. "Selling Strategic Information in Digital Competitive Markets," CESifo Working Paper Series 7078, CESifo Group Munich.
  • Handle: RePEc:ces:ceswps:_7078
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    File URL: http://www.cesifo-group.de/DocDL/cesifo1_wp7078.pdf
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    References listed on IDEAS

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    Cited by:

    1. Koski, Heli, 2018. "How Do Competition Policy and Data Brokers Shape Product Market Competition?," ETLA Working Papers 61, The Research Institute of the Finnish Economy.

    More about this item

    Keywords

    data broker; information structure; price-discrimination;

    JEL classification:

    • D40 - Microeconomics - - Market Structure, Pricing, and Design - - - General
    • D80 - Microeconomics - - Information, Knowledge, and Uncertainty - - - General
    • L50 - Industrial Organization - - Regulation and Industrial Policy - - - General
    • D43 - Microeconomics - - Market Structure, Pricing, and Design - - - Oligopoly and Other Forms of Market Imperfection

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