IDEAS home Printed from https://ideas.repec.org/p/drm/wpaper/2023-34.html

Competition, Privacy, and Multi-Homing

Author

Listed:
  • Jean-Marc Zogheib

Abstract

Two digital firms compete in prices and information disclosure levels. A consumer signing up to one firm's service decides how much personal information to provide. We find that firms essentially trade-off between consumer valuations and disclosure levels to determine their business strategies when consumers single-home. Under multi-homing, business strategies are more complex to assess and may completely shift compared to single-homing. All things being equal, implementing a strict privacy regime with no data disclosure can be optimal under single-homing, while a soft privacy regime with data disclosure may be preferred under multi-homing.

Suggested Citation

  • Jean-Marc Zogheib, 2023. "Competition, Privacy, and Multi-Homing," EconomiX Working Papers 2023-34, University of Paris Nanterre, EconomiX.
    • Handle: RePEc:drm:wpaper:2023-34
    as

    Download full text from publisher

    File URL: https://economix.fr/pdf/dt/2023/WP_EcoX_2023-34.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jin‐Hyuk Kim & Liad Wagman & Abraham L. Wickelgren, 2019. "The impact of access to consumer data on the competitive effects of horizontal mergers and exclusive dealing," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 28(3), pages 373-391, June.
    2. 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.
    3. Stigler, George J., 1980. "An Introduction to Privacy in Economics and Politics," Working Papers 10, The University of Chicago Booth School of Business, George J. Stigler Center for the Study of the Economy and the State.
    4. 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).
    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. Bounie, David & Dubus, Antoine & Waelbroeck, Patrick, 2025. "Competition and the two margins of privacy," International Review of Law and Economics, Elsevier, vol. 83(C).

    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. Yiquan Gu & Leonardo Madio & Carlo Reggiani, 2022. "Data brokers co-opetition [The impact of big data on firm performance: an empirical investigation]," Oxford Economic Papers, Oxford University Press, vol. 74(3), pages 820-839.
    2. DELBONO Flavio & REGGIANI Carlo & SANDRINI Luca, 2021. "Strategic data sales to competing firms," JRC Working Papers on Digital Economy 2021-05, Joint Research Centre.
    3. Alessandro Bonatti, 2023. "The Platform Dimension of Digital Privacy," NBER Chapters, in: The Economics of Privacy, pages 73-96, National Bureau of Economic Research, Inc.
    4. 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.
    5. Jean-Marc Zogheib & Marc Bourreau, 2021. "Privacy, Competition, and Multi-Homing," Working Papers hal-04159740, HAL.
    6. Lagerlöf, Johan N.M., 2023. "Surfing incognito: Welfare effects of anonymous shopping," International Journal of Industrial Organization, Elsevier, vol. 87(C).
    7. Shota Ichihashi, 2021. "Competing data intermediaries," RAND Journal of Economics, RAND Corporation, vol. 52(3), pages 515-537, September.
    8. Andrei Hagiu & Julian Wright, 2023. "Data‐enabled learning, network effects, and competitive advantage," RAND Journal of Economics, RAND Corporation, vol. 54(4), pages 638-667, December.
    9. Shota Ichihashi, 2020. "Non-competing Data Intermediaries," Staff Working Papers 20-28, Bank of Canada.
    10. Delbono, Flavio & Reggiani, Carlo & Sandrini, Luca, 2024. "Strategic data sales with partial segment profiling," Information Economics and Policy, Elsevier, vol. 68(C).
    11. Yi-Shan Lee & Roberto A. Weber, 2025. "Revealed Privacy Preferences: Are Privacy Choices Rational?," Management Science, INFORMS, vol. 71(3), pages 2657-2677, March.
    12. Changying Li & Jianhu Zhang, 2024. "Price and variety in the Salop model," Journal of Public Economic Theory, Association for Public Economic Theory, vol. 26(1), February.
    13. Wang, Minda & Li, Jianbiao & Niu, Xiaofei & Wang, Wenhua, 2025. "Disclosing personal information on behalf of others: An experimental study," China Economic Review, Elsevier, vol. 91(C).
    14. Navarra, Federico & Pino, Flavio & Sandrini, Luca, 2024. "Mandated data-sharing in hybrid marketplaces," ZEW Discussion Papers 24-051, ZEW - Leibniz Centre for European Economic Research.
    15. Roland Strausz, 2024. "Correlation‐savvy sellers," RAND Journal of Economics, RAND Corporation, vol. 55(2), pages 266-291, June.
    16. Ichihashi, Shota, 2021. "The economics of data externalities," Journal of Economic Theory, Elsevier, vol. 196(C).
    17. Zhijun Chen & Chongwoo Choe & Jiajia Cong & Noriaki Matsushima, 2022. "Data‐driven mergers and personalization," RAND Journal of Economics, RAND Corporation, vol. 53(1), pages 3-31, March.
    18. Jin, Ginger Zhe & Wagman, Liad, 2021. "Big data at the crossroads of antitrust and consumer protection," Information Economics and Policy, Elsevier, vol. 54(C).
    19. Tesary Lin, 2022. "Valuing Intrinsic and Instrumental Preferences for Privacy," Marketing Science, INFORMS, vol. 41(4), pages 663-681, July.
    20. Gregor Langus & Vilen Lipatov, 2021. "Does Envelopment through Data Advantage Call for New Regulation?," CESifo Working Paper Series 8932, CESifo.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    JEL classification:

    • D11 - Microeconomics - - Household Behavior - - - Consumer Economics: Theory
    • D40 - Microeconomics - - Market Structure, Pricing, and Design - - - General
    • L21 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Business Objectives of the Firm
    • L41 - Industrial Organization - - Antitrust Issues and Policies - - - Monopolization; Horizontal Anticompetitive Practices

    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:drm:wpaper:2023-34. 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: Valerie Mignon The email address of this maintainer does not seem to be valid anymore. Please ask Valerie Mignon to update the entry or send us the correct address (email available below). General contact details of provider: https://edirc.repec.org/data/modemfr.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.