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Information Revelation and Privacy Protection

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  • Bonatti, Alessandro
  • Argenziano, Rossella

Abstract

We propose a microfoundation for consumers' privacy preferences and examine how it shapes the outcome of regulation. A single consumer interacts sequentially with two heterogeneous firms: the first firm collects data on consumer behavior, which the second firm uses to set a quality level and a price. Thus, the consumer manipulates her behavior to influence the future terms of trade. In equilibrium, manipulation is beneficial to the consumer when the recipient firm is sufficiently similar to the collecting firm (as measured by the relative salience of quality and price of their two products). We then evaluate the impact of privacy regulation, including mandatory transparency, explicit consent requirements, and limits to discriminatory offers. We show that transparency has an ambiguous effect on consumer welfare and that consent requirements are unambiguously beneficial to consumers but that limits to discrimination are harmful to consumers in equilibrium.

Suggested Citation

  • Bonatti, Alessandro & Argenziano, Rossella, 2020. "Information Revelation and Privacy Protection," CEPR Discussion Papers 15203, C.E.P.R. Discussion Papers.
  • Handle: RePEc:cpr:ceprdp:15203
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    References listed on IDEAS

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    8. S. Nageeb Ali & Greg Lewis & Shoshana Vasserman, 2019. "Voluntary Disclosure and Personalized Pricing," Papers 1912.04774, arXiv.org, revised Aug 2020.
    9. 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.
    10. 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.
    11. Curtis R. Taylor, 2004. "Consumer Privacy and the Market for Customer Information," RAND Journal of Economics, The RAND Corporation, vol. 35(4), pages 631-650, Winter.
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    13. Michael R. Baye & David E. M. Sappington, 2020. "Revealing transactions data to third parties: Implications of privacy regimes for welfare in online markets," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 29(2), pages 260-275, April.
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    Cited by:

    1. 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.
    2. Kuerbis, Brenden & Mueller, Milton, 2023. "Exploring the role of data enclosure in the digital political economy," Telecommunications Policy, Elsevier, vol. 47(8).
    3. Shota Ichihashi, 2023. "Dynamic Privacy Choices," American Economic Journal: Microeconomics, American Economic Association, vol. 15(2), pages 1-40, May.
    4. Skreta, Vasiliki & Doval, Laura, 2021. "Purchase history and product personalization," CEPR Discussion Papers 15969, C.E.P.R. Discussion Papers.

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    More about this item

    Keywords

    Consumer privacy; Consumer consent; Personal information; Data linkages; Data rights; Price discrimination; Signaling; Ratchet effect;
    All these keywords.

    JEL classification:

    • D44 - Microeconomics - - Market Structure, Pricing, and Design - - - Auctions
    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness

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