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Persuasion Through Selective Disclosure: Implications for Marketing, Campaigning, and Privacy Regulation

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  • Inderst, Roman
  • Hoffmann, Florian
  • Ottaviani, Marco

Abstract

This paper characterizes equilibrium persuasion through selective disclosure based on the personal information that senders acquire about the preferences and orientations of receivers, with applications to strategic marketing and campaigning. We derive positive and normative implications depending on: the extent of competition among senders, whether receivers are wary of senders collecting personalized data, and whether firms are able to personalize prices. Privacy laws requiring senders to obtain consent to acquire information are beneficial when there is little or asymmetric competition among senders, when receivers are unwary, and when firms caprice discriminate. Otherwise, policy intervention has unintended negative welfare consequences.

Suggested Citation

  • Inderst, Roman & Hoffmann, Florian & Ottaviani, Marco, 2022. "Persuasion Through Selective Disclosure: Implications for Marketing, Campaigning, and Privacy Regulation," CEPR Discussion Papers 16901, C.E.P.R. Discussion Papers.
  • Handle: RePEc:cpr:ceprdp:16901
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    2. Arianna Degan & Ming Li & Huan Xie, 2023. "An experimental investigation of persuasion through selective disclosure of evidence," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 56(4), pages 1490-1516, November.
    3. Kemal Kivanc Akoz & Arseniy Samsonov, 2023. "Bargaining over information structures," Discussion Papers 2301, Budapest University of Technology and Economics, Quantitative Social and Management Sciences.
    4. Cloarec, Julien, 2020. "The personalization–privacy paradox in the attention economy," Technological Forecasting and Social Change, Elsevier, vol. 161(C).
    5. Alessandro Ispano & Peter Schwardmann, 2023. "Cursed Consumers and the Effectiveness of Consumer Protection Policies," Journal of Industrial Economics, Wiley Blackwell, vol. 71(2), pages 407-440, June.
    6. Alonso, Ricardo & Câmara, Odilon, 2021. "Organizing Data Analytics," CEPR Discussion Papers 16768, C.E.P.R. Discussion Papers.
    7. Martin, Kelly D. & Kim, Jisu J. & Palmatier, Robert W. & Steinhoff, Lena & Stewart, David W. & Walker, Beth A. & Wang, Yonggui & Weaven, Scott K., 2020. "Data Privacy in Retail," Journal of Retailing, Elsevier, vol. 96(4), pages 474-489.
    8. Budzinski, Oliver & Gruésevaja, Marina & Noskova, Victoriia, 2020. "The economics of the German investigation of Facebook's data collection," Ilmenau Economics Discussion Papers 139, Ilmenau University of Technology, Institute of Economics.
    9. Alfredo Di Tillio & Marco Ottaviani & Peter Norman Sørensen, 2021. "Strategic Sample Selection," Econometrica, Econometric Society, vol. 89(2), pages 911-953, March.
    10. Levent Celik & Mikhail Drugov, 2021. "Score Disclosure," Working Papers w0285, New Economic School (NES).
    11. Haifei Yu & Shanshan Zheng & Hao Wu, 2023. "User Privacy Awareness, Incentive and Data Supply Chain Pricing Strategy," Sustainability, MDPI, vol. 15(4), pages 1-24, February.
    12. Qiang Gong & Jie Shuai & Huanxing Yang, 2023. "Informational correlation and selective disclosure," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 76(2), pages 645-683, August.

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    More about this item

    Keywords

    Selective disclosure; Hypertargeting; Limited attention; Privacy regulation;
    All these keywords.

    JEL classification:

    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • M31 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Marketing

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