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Big data at the crossroads of antitrust and consumer protection

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  • Jin, Ginger Zhe
  • Wagman, Liad

Abstract

The rise of big data in the global economy has led to concerns about antitrust and consumer protection, but policy makers often treat the two areas separately. The separate treatment is justified in classical markets because antitrust tends to focus on firm-to-firm interactions, while consumer protection deals with firm-to-consumer interfaces. The two areas may also be subject to different laws, and any crossovers between the two have tended to be small. However, big data blurs the distinction between the two, causing them to intertwine, complement or even conflict with each other. This paper uses examples to illustrate why that is the case and identifies areas that would benefit from more economic research.

Suggested Citation

  • Jin, Ginger Zhe & Wagman, Liad, 2021. "Big data at the crossroads of antitrust and consumer protection," Information Economics and Policy, Elsevier, vol. 54(C).
    • Handle: RePEc:eee:iepoli:v:54:y:2021:i:c:s0167624520300792
    DOI: 10.1016/j.infoecopol.2020.100865
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    3. Alexandre Chirat, 2022. "Consumer sovereignty in the digital society," EconomiX Working Papers 2022-25, University of Paris Nanterre, EconomiX.
    4. Masuyama, Ryo, 2023. "Endogenous privacy and heterogeneous price sensitivity," MPRA Paper 117316, University Library of Munich, Germany.
    5. Esteves, Rosa-Branca & Carballo-Cruz, Francisco, 2023. "Can data openness unlock competition when an incumbent has exclusive data access for personalized pricing?," Information Economics and Policy, Elsevier, vol. 64(C).

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    More about this item

    Keywords

    Data; Digital economy; Platforms; Regulation; Antitrust; Consumer protection;
    All these keywords.

    JEL classification:

    • L1 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance
    • L2 - Industrial Organization - - Firm Objectives, Organization, and Behavior
    • D8 - Microeconomics - - Information, Knowledge, and Uncertainty

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