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To discriminate or not to discriminate? Personalised pricing in online markets as exploitative abuse of dominance

Author

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  • Marco Botta

    (Max Planck Institute for Innovation and Competition)

  • Klaus Wiedemann

    (Max Planck Institute for Innovation and Competition)

Abstract

The advent of big data analytics has favoured the emergence of forms of price discrimination based on consumers’ profiles and their online behaviour (i.e. personalised pricing). The paper analyses this practice as a possible exploitative abuse by dominant online platforms. The paper argues that, in view of its “mixed” effect on consumers’ welfare, personalised pricing requires a case-by-case assessment under EU competition law and thus it should not be banned a priori. However, in view of the recent case law of the European Court of Justice on price discrimination, the National Competition Authorities (NCAs) and the European Commission would face a high burden of proof to sanction this conduct under Art. 102(c) TFEU. Finally, the paper argues that, due to its case-by-case approach, competition law seems more suitable than omnibus regulation to tackle the negative effects that personalised pricing could have on consumers’ welfare. In particular, an NCA/the European Commission could negotiate with online platforms different kinds of behavioural commitments: transparency requirements, limits on data collection/user profiling, rights to opt out of personalised pricing and the obligation to share customers’ data with competitors could significantly tame the risks of personalised pricing.

Suggested Citation

  • Marco Botta & Klaus Wiedemann, 2020. "To discriminate or not to discriminate? Personalised pricing in online markets as exploitative abuse of dominance," European Journal of Law and Economics, Springer, vol. 50(3), pages 381-404, December.
  • Handle: RePEc:kap:ejlwec:v:50:y:2020:i:3:d:10.1007_s10657-019-09636-3
    DOI: 10.1007/s10657-019-09636-3
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    References listed on IDEAS

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    Cited by:

    1. Alain Marciano & Antonio Nicita & Giovanni Battista Ramello, 2020. "Puzzles in the big data revolution: an introduction," European Journal of Law and Economics, Springer, vol. 50(3), pages 339-344, December.

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    More about this item

    Keywords

    Price discrimination; Personalised pricing; EU competition law; Exploitative abuse; Remedies;
    All these keywords.

    JEL classification:

    • K21 - Law and Economics - - Regulation and Business Law - - - Antitrust Law
    • L11 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Production, Pricing, and Market Structure; Size Distribution of Firms
    • L41 - Industrial Organization - - Antitrust Issues and Policies - - - Monopolization; Horizontal Anticompetitive Practices
    • L42 - Industrial Organization - - Antitrust Issues and Policies - - - Vertical Restraints; Resale Price Maintenance; Quantity Discounts
    • L86 - Industrial Organization - - Industry Studies: Services - - - Information and Internet Services; Computer Software

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