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Consumer Privacy and the Incentives to Price-Discriminate in Online Markets

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  • de Cornière Alexandre

    (Toulouse School of Economics, University of Toulouse Capitole, Toulouse, France)

  • Montes Rodrigo

    (Compass Lexecon, Washington, DC, USA)

Abstract

This paper studies how product customization and consumer privacy affect a monopolist’s incentives to engage in perfect price discrimination. We consider a monopolist that faces an ex ante choice to commit to price discrimination or to a uniform price. We introduce a simple model in which a monopolist can use analytics to access consumer data to both price-discriminate and offer customized products. In turn, consumers can protect their privacy to avoid price discrimination at a cost. By committing not to price-discriminate, the firm induces consumers to not protect their data, which allows it to customize the product. It can then extract the extra value through an increased uniform price. This strategy is profitable when the value added through customization is sufficiently high. An intermediate quality of analytics gives the monopolist more incentives to set a uniform price.

Suggested Citation

  • de Cornière Alexandre & Montes Rodrigo, 2017. "Consumer Privacy and the Incentives to Price-Discriminate in Online Markets," Review of Network Economics, De Gruyter, vol. 16(3), pages 291-305, September.
  • Handle: RePEc:bpj:rneart:v:16:y:2017:i:3:p:291-305:n:5
    DOI: 10.1515/rne-2018-0004
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    References listed on IDEAS

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    1. Toshihiro Matsumura & Noriaki Matsushima, 2015. "Should Firms Employ Personalized Pricing?," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 24(4), pages 887-903, October.
    2. Belleflamme, Paul & Vergote, Wouter, 2016. "Monopoly price discrimination and privacy: The hidden cost of hiding," Economics Letters, Elsevier, vol. 149(C), pages 141-144.
    3. 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.
    4. Shota Ichihashi, 2020. "Online Privacy and Information Disclosure by Consumers," American Economic Review, American Economic Association, vol. 110(2), pages 569-595, February.
    5. Alberto Cavallo, 2017. "Are Online and Offline Prices Similar? Evidence from Large Multi-channel Retailers," American Economic Review, American Economic Association, vol. 107(1), pages 283-303, January.
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    Cited by:

    1. Liu, Weihua & Long, Shangsong & Xie, Dong & Liang, Yanjie & Wang, Jinkun, 2021. "How to govern the big data discriminatory pricing behavior in the platform service supply chain?An examination with a three-party evolutionary game model," International Journal of Production Economics, Elsevier, vol. 231(C).

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