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Dynamic Privacy Choices

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  • Shota Ichihashi

Abstract

I study a dynamic model of consumer privacy and platform data collection. In each period, consumers choose their level of platform activity. Greater activity generates more information about the consumer, thereby increasing platform profits. When the platform can commit to the future privacy policy, it collects information by committing to gradually decrease the level of privacy protection. In the long run, consumers lose privacy and receive low payoffs but choose high activity levels. In contrast, the platform with weaker commitment power may attain the commitment outcome or fail to collect any data, depending on consumer expectations regarding future privacy protection.

Suggested Citation

  • Shota Ichihashi, 2022. "Dynamic Privacy Choices," Staff Working Papers 22-8, Bank of Canada.
    • Handle: RePEc:bca:bocawp:22-8
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    References listed on IDEAS

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    1. Michael Kummer & Patrick Schulte, 2019. "When Private Information Settles the Bill: Money and Privacy in Google’s Market for Smartphone Applications," Management Science, INFORMS, vol. 65(8), pages 3470-3494, August.
    2. Bonatti, Alessandro & Argenziano, Rossella, 2020. "Information Revelation and Privacy Protection," CEPR Discussion Papers 15203, C.E.P.R. Discussion Papers.
    3. Catherine Tucker, 2018. "Privacy, Algorithms, and Artificial Intelligence," NBER Chapters, in: The Economics of Artificial Intelligence: An Agenda, pages 423-437, National Bureau of Economic Research, Inc.
    4. 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.
    5. Renault, Jérôme & Solan, Eilon & Vieille, Nicolas, 2017. "Optimal dynamic information provision," Games and Economic Behavior, Elsevier, vol. 104(C), pages 329-349.
    6. 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.
    7. Becker, Gary S & Murphy, Kevin M, 1988. "A Theory of Rational Addiction," Journal of Political Economy, University of Chicago Press, vol. 96(4), pages 675-700, August.
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    Cited by:

    1. Charlson, G., 2022. "Digital Gold? Pricing, Inequality and Participation in Data Markets," Janeway Institute Working Papers 2225, Faculty of Economics, University of Cambridge.
    2. Charlson, G., 2022. "Digital gold? Pricing, inequality and participation in data markets," Cambridge Working Papers in Economics 2258, Faculty of Economics, University of Cambridge.
    3. Yosuke Uno & Akira Sonoda & Masaki Bessho, 2021. "The Economics of Privacy: A Primer Especially for Policymakers," Bank of Japan Working Paper Series 21-E-11, Bank of Japan.
    4. Itay P. Fainmesser & Andrea Galeotti & Ruslan Momot, 2023. "Digital Privacy," Management Science, INFORMS, vol. 69(6), pages 3157-3173, June.

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    More about this item

    Keywords

    Economic models;

    JEL classification:

    • D8 - Microeconomics - - Information, Knowledge, and Uncertainty
    • 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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