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Data and Competition: a General Framework with Applications to Mergers, Market Structure, and Privacy Policy

Author

Listed:
  • de Cornière, Alexandre
  • Taylor, Greg
Abstract
What role does data play in competition? This question has been at the center of a fierce debate around competition policy in the digital economy. We use a competition-in-utilities approach to provide a general framework for studying the competitive effects of data, encompassing a wide range of markets where data has many different uses. We identify conditions for data to be unilaterally proor anti-competitive (UPC or UAC). The conditions are simple and often require no information about market demand. We apply our framework to study various applications of data, including training algorithms, targeting advertisements, and personalizing prices. We also show that whether data is UPC or UAC has important implications for policy issues such as data-driven mergers, market structure, and privacy policy.

Suggested Citation

  • de Cornière, Alexandre & Taylor, Greg, 2020. "Data and Competition: a General Framework with Applications to Mergers, Market Structure, and Privacy Policy," TSE Working Papers 20-1076, Toulouse School of Economics (TSE).
    • Handle: RePEc:tse:wpaper:124102
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    References listed on IDEAS

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    1. Bliss, Christopher, 1988. "A Theory of Retail Pricing," Journal of Industrial Economics, Wiley Blackwell, vol. 36(4), pages 375-391, June.
    2. Attila Ambrus & Emilio Calvano & Markus Reisinger, 2016. "Either or Both Competition: A "Two-Sided" Theory of Advertising with Overlapping Viewerships," American Economic Journal: Microeconomics, American Economic Association, vol. 8(3), pages 189-222, August.
    3. Alexandre de Cornière & Greg Taylor, 2019. "A model of biased intermediation," RAND Journal of Economics, RAND Corporation, vol. 50(4), pages 854-882, December.
    4. Belleflamme, Paul & Vergote, Wouter, 2016. "Monopoly price discrimination and privacy: The hidden cost of hiding," Economics Letters, Elsevier, vol. 149(C), pages 141-144.
    5. Schaefer, Maximilian & Sapi, Geza & Lorincz, Szabolcs, 2018. "The effect of big data on recommendation quality: The example of internet search," DICE Discussion Papers 284, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).
    6. Shota Ichihashi, 2020. "Online Privacy and Information Disclosure by Consumers," American Economic Review, American Economic Association, vol. 110(2), pages 569-595, February.
    7. Anastasios Dosis & Wilfried Sand-Zantman, 2023. "The Ownership of Data," The Journal of Law, Economics, and Organization, Oxford University Press, vol. 39(3), pages 615-641.
    8. Yiquan Gu & Leonardo Madio & Carlo Reggiani, 2019. "Exclusive Data, Price Manipulation and Market Leadership," CESifo Working Paper Series 7853, CESifo.
    9. Daron Acemoglu & Ali Makhdoumi & Azarakhsh Malekian & Asu Ozdaglar, 2022. "Too Much Data: Prices and Inefficiencies in Data Markets," American Economic Journal: Microeconomics, American Economic Association, vol. 14(4), pages 218-256, November.
    10. Xavier Vives, 2001. "Oligopoly Pricing: Old Ideas and New Tools," MIT Press Books, The MIT Press, edition 1, volume 1, number 026272040x, April.
    11. 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.
    12. Lesley Chiou & Catherine Tucker, 2017. "Search Engines and Data Retention: Implications for Privacy and Antitrust," NBER Working Papers 23815, National Bureau of Economic Research, Inc.
    13. Matthew Mitchell & Andrzej Skrzypacz, 2006. "Network externalities and long-run market shares," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 29(3), pages 621-648, November.
    14. Susan Athey & Joshua S. Gans, 2010. "The Impact of Targeting Technology on Advertising Markets and Media Competition," American Economic Review, American Economic Association, vol. 100(2), pages 608-613, May.
    15. Jörg Claussen & Christian Peukert & Ananya Sen, 2019. "The Editor vs. the Algorithm: Returns to Data and Externalities in Online News," CESifo Working Paper Series 8012, CESifo.
    16. Choi, Jay Pil & Jeon, Doh-Shin & Kim, Byung-Cheol, 2019. "Privacy and personal data collection with information externalities," Journal of Public Economics, Elsevier, vol. 173(C), pages 113-124.
    17. Benjamin Hermalin & Michael Katz, 2006. "Privacy, property rights and efficiency: The economics of privacy as secrecy," Quantitative Marketing and Economics (QME), Springer, vol. 4(3), pages 209-239, September.
    18. Shota Ichihashi, 2020. "Non-competing Data Intermediaries," Staff Working Papers 20-28, Bank of Canada.
    19. Imanol Arrieta-Ibarra & Leonard Goff & Diego Jiménez-Hernández & Jaron Lanier & E. Glen Weyl, 2018. "Should We Treat Data as Labor? Moving beyond "Free"," AEA Papers and Proceedings, American Economic Association, vol. 108, pages 38-42, May.
    20. James Campbell & Avi Goldfarb & Catherine Tucker, 2015. "Privacy Regulation and Market Structure," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 24(1), pages 47-73, March.
    21. Alexandre de Corniere & Romain De Nijs, 2013. "Online Advertising and Privacy," Economics Series Working Papers 650, University of Oxford, Department of Economics.
    22. Jin-Hyuk Kim & Liad Wagman, 2015. "Screening incentives and privacy protection in financial markets: a theoretical and empirical analysis," RAND Journal of Economics, RAND Corporation, vol. 46(1), pages 1-22, March.
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    More about this item

    JEL classification:

    • L1 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance
    • L4 - Industrial Organization - - Antitrust Issues and Policies
    • L5 - Industrial Organization - - Regulation and Industrial Policy

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