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From Economic Evidence to Algorithmic Evidence: Artificial Intelligence and Blockchain: An Application to Anti-competitive Agreements

Author

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  • Frédéric Marty

    (Université Côte d'Azur, France
    GREDEG CNRS)

Abstract

This contribution considers how anti-competitive agreements can be impacted by algorithms, especially those that use artificial intelligence, and by the use of blockchains. In both cases, the aim is to analyze how these technical devices can contribute to the consolidation of agreements, how they can hinder the supervision exercised by -competition authorities and the effectiveness of their tools to unravel cartels, and finally how they can be used to augment this oversight.

Suggested Citation

  • Frédéric Marty, 2022. "From Economic Evidence to Algorithmic Evidence: Artificial Intelligence and Blockchain: An Application to Anti-competitive Agreements," GREDEG Working Papers 2022-32, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
  • Handle: RePEc:gre:wpaper:2022-32
    as

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    References listed on IDEAS

    as
    1. J Gallego & G Rivero & J.D. MartÔøΩnez, 2018. "Preventing rather than Punishing: An Early Warning Model of Malfeasance in Public Procurement," Documentos de Trabajo 16724, Universidad del Rosario.
    2. Huber, Martin & Imhof, David, 2019. "Machine learning with screens for detecting bid-rigging cartels," International Journal of Industrial Organization, Elsevier, vol. 65(C), pages 277-301.
    3. Stephanie Assad & Robert Clark & Daniel Ershov & Lei Xu, 2020. "Algorithmic Pricing and Competition: Empirical Evidence from the German Retail Gasoline Market," CESifo Working Paper Series 8521, CESifo.
    4. Nathalie de Marcellis-Warin & Frédéric Marty & Eva Thelisson & Thierry Warin, 2022. "Artificial intelligence and consumer manipulations: from consumer's counter algorithms to firm's self-regulation tools," Post-Print halshs-03921216, HAL.
    5. Gallego, Jorge & Rivero, Gonzalo & Martínez, Juan, 2021. "Preventing rather than punishing: An early warning model of malfeasance in public procurement," International Journal of Forecasting, Elsevier, vol. 37(1), pages 360-377.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    algorithms; blockchains; cartels; collusive agreements; leniency programs; facilitating practices;
    All these keywords.

    JEL classification:

    • K21 - Law and Economics - - Regulation and Business Law - - - Antitrust Law
    • 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

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