Nothing Special   »   [go: up one dir, main page]
IDEAS home Printed from https://ideas.repec.org/p/nbr/nberwo/27653.html
   My bibliography  Save this paper

Data Privacy and Temptation

Author

Listed:
  • Zhuang Liu
  • Michael Sockin
  • Wei Xiong
Abstract
This paper derives a preference for data privacy from consumers' temptation utility. This approach facilitates a welfare analysis of different data privacy regulations, such as the GDPR enacted by the European Union and the CCPA enacted by the state of California, when a fraction of the consumers may succumb to targeted advertising of temptation goods. While sharing consumer data with firms improves firms' matching efficiency of normal consumption goods, it also exposes weak-willed consumers to temptation goods. Despite that the GDPR and the CCPA give each consumer the choice to opt in or out of data sharing, these regulations may not provide sufficient protection for severely tempted consumers because of a negative externality in which the opt-in decision of some consumers reduces the anonymity of those who opt out. Our analysis also shows that the default choices instituted by the GDPR and the CCPA can lead to sharply different outcomes.

Suggested Citation

  • Zhuang Liu & Michael Sockin & Wei Xiong, 2020. "Data Privacy and Temptation," NBER Working Papers 27653, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberwo:27653
    Note: AP CF IO LE
    as

    Download full text from publisher

    File URL: http://www.nber.org/papers/w27653.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Calzolari, Giacomo & Pavan, Alessandro, 2006. "On the optimality of privacy in sequential contracting," Journal of Economic Theory, Elsevier, vol. 130(1), pages 168-204, September.
    2. Stefano DellaVigna, 2009. "Psychology and Economics: Evidence from the Field," Journal of Economic Literature, American Economic Association, vol. 47(2), pages 315-372, June.
    3. Shota Ichihashi, 2020. "Online Privacy and Information Disclosure by Consumers," American Economic Review, American Economic Association, vol. 110(2), pages 569-595, February.
    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. Athey, Susan & Catalini, Christian & Tucker, Catherin E., 2017. "The Digital Privacy Paradox: Small Money, Small Costs, Small Talk," Research Papers 3498, Stanford University, Graduate School of Business.
    6. R. H. Strotz, 1955. "Myopia and Inconsistency in Dynamic Utility Maximization," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 23(3), pages 165-180.
    7. S Nageeb Ali & Greg Lewis & Shoshana Vasserman, 2023. "Voluntary Disclosure and Personalized Pricing," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 90(2), pages 538-571.
    8. S Nageeb Ali & Greg Lewis & Shoshana Vasserman, 2023. "Voluntary Disclosure and Personalized Pricing," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 90(2), pages 538-571.
    9. Kreps, David M, 1979. "A Representation Theorem for "Preference for Flexibility"," Econometrica, Econometric Society, vol. 47(3), pages 565-577, May.
    10. 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.
    11. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. He, Zhiguo & Huang, Jing & Zhou, Jidong, 2023. "Open banking: Credit market competition when borrowers own the data," Journal of Financial Economics, Elsevier, vol. 147(2), pages 449-474.
    2. Cong, Lin William & Wei, Wenshi & Xie, Danxia & Zhang, Longtian, 2022. "Endogenous growth under multiple uses of data," Journal of Economic Dynamics and Control, Elsevier, vol. 141(C).
    3. Lin William Cong & Danxia Xie & Longtian Zhang, 2021. "Knowledge Accumulation, Privacy, and Growth in a Data Economy," Management Science, INFORMS, vol. 67(10), pages 6480-6492, October.
    4. Jean Tirole, 2023. "Competition and the Industrial Challenge for the Digital Age," Post-Print hal-04464905, HAL.
    5. Rod Garratt & Michael Junho Lee, 2021. "Monetizing Privacy," Staff Reports 958, Federal Reserve Bank of New York.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Zhuang Liu & Michael Sockin & Wei Xiong, 2021. "Data Privacy and Temptation," Working Papers 2021-77, Princeton University. Economics Department..
    2. Alessandro Bonatti, 2023. "The Platform Dimension of Digital Privacy," NBER Chapters, in: The Economics of Privacy, National Bureau of Economic Research, Inc.
    3. 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.
    4. Jiadong Gu, 2024. "Data Trade and Consumer Privacy," Papers 2406.12457, arXiv.org, revised Jul 2024.
    5. Flavio Pino, 2022. "The microeconomics of data – a survey," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 49(3), pages 635-665, September.
    6. Ichihashi, Shota, 2021. "The economics of data externalities," Journal of Economic Theory, Elsevier, vol. 196(C).
    7. Bergemann, Dirk & Ottaviani, Marco, 2021. "Information Markets and Nonmarkets," CEPR Discussion Papers 16459, C.E.P.R. Discussion Papers.
    8. Shuaicheng Liu, 2024. "Privacy regulation in asymmetric environments," Journal of Regulatory Economics, Springer, vol. 66(2), pages 157-173, December.
    9. Bonatti, Alessandro & Argenziano, Rossella, 2020. "Information Revelation and Privacy Protection," CEPR Discussion Papers 15203, C.E.P.R. Discussion Papers.
    10. Mert Demirer & Diego Jimenez-Hernandez & Dean Li & Sida Peng, 2024. "Data, Privacy Laws and Firm Production: Evidence from the GDPR," Working Paper Series WP 2024-02, Federal Reserve Bank of Chicago.
    11. Skreta, Vasiliki & Doval, Laura, 2021. "Purchase history and product personalization," CEPR Discussion Papers 15969, C.E.P.R. Discussion Papers.
    12. Elliott, M. & Galeotti., A. & Koh., A. & Li, W., 2021. "Market Segmentation Through Information," Janeway Institute Working Papers 2114, Faculty of Economics, University of Cambridge.
    13. David A. Schweidel & Yakov Bart & J. Jeffrey Inman & Andrew T. Stephen & Barak Libai & Michelle Andrews & Ana Babić Rosario & Inyoung Chae & Zoey Chen & Daniella Kupor & Chiara Longoni & Felipe Thomaz, 2022. "How consumer digital signals are reshaping the customer journey," Journal of the Academy of Marketing Science, Springer, vol. 50(6), pages 1257-1276, November.
    14. Li, Jianpei & Zhang, Wanzhu, 2024. "The Value of Anonymous Option," MPRA Paper 120010, University Library of Munich, Germany.
    15. S Nageeb Ali & Greg Lewis & Shoshana Vasserman, 2023. "Voluntary Disclosure and Personalized Pricing," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 90(2), pages 538-571.
    16. V. Bhaskar & Nikita Roketskiy, 2021. "Consumer privacy and serial monopoly," RAND Journal of Economics, RAND Corporation, vol. 52(4), pages 917-944, December.
    17. Chen, Yongmin & Hua, Xinyu & Maskus, Keith E., 2021. "International protection of consumer data," Journal of International Economics, Elsevier, vol. 132(C).
    18. 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.
    19. T. Tony Ke & K. Sudhir, 2023. "Privacy Rights and Data Security: GDPR and Personal Data Markets," Management Science, INFORMS, vol. 69(8), pages 4389-4412, August.
    20. Dengler, Sebastian & Prüfer, Jens, 2021. "Consumers' privacy choices in the era of big data," Games and Economic Behavior, Elsevier, vol. 130(C), pages 499-520.

    More about this item

    JEL classification:

    • D03 - Microeconomics - - General - - - Behavioral Microeconomics: Underlying Principles
    • D62 - Microeconomics - - Welfare Economics - - - Externalities
    • M15 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - IT Management

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nbr:nberwo:27653. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/nberrus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.