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Competition and the two margins of privacy

Bibliographic Data

ID21451713
AuthorsDavid Bounie (Télécom Paris), Antoine Dubus (0000-0001-5726-155X, ETH Zurich, corresponding author), Patrick Waelbroeck (0000-0002-6034-5698, Télécom Paris)
Year2025
Volume83
Pages106262
Publication date2025-09-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueInternational Review of Law and Economics (JOURNAL)
Journal identifiersISSN: 0144-8188 • E-ISSN: 1873-6394
PublisherElsevier BV (PUBLISHER)
DOI10.1016/j.irle.2025.106262
OpenAlexW4409371629
LanguageEN
References cited17

This article analyzes the relationship between privacy protection and market competition. We consider a model where firms collect data to price discriminate consumers in a competitive product market, and we distinguish two margins of privacy. Firms strategically choose the number of consumers on whom they collect data – the extensive margin of privacy – as well as the precision of information – the intensive margin of privacy. We show that policymakers can efficiently protect both margins of privacy and consumer surplus by safeguarding the intensive margin. Indeed, when both strategic variables are strategic complements, restricting the amount of information that firms have on each consumer (the intensive margin) also induces firms to collect data on fewer consumers, thereby protecting the extensive margin of privacy. This softens the intensity of competition but also reduces rent extraction by firms, and total consumer surplus increases. When both variables are strategic substitutes, protecting the intensive margin harms privacy at the extensive margin, but still increases consumer surplus

Business · Competition (biology) · Computer security · Economics · Forensic engineering · Internet privacy · Law and economics · Computer Science · Digital Platforms and Economics · Engineering · Privacy, Security, and Data Protection · Sharing Economy and Platforms

  • Privacy attitudes and privacy behaviour

    Open Access•Spyros Kokolakis•Computers & Security•2017

Citation velocityhistorical
Highly citedNo

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