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Optimal dynamic antitrust fines

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  • Merino Troncoso, Carlos

Abstract

Standard antitrust optimal fines rely on a microeconomic static model. Motchenkova describes optimal antitrust dynamic sanctions and their application for EU and US methodology. For the EU fine, and based on this methodology, we find an equilibrium point for a high level of offense (2 times normal profits ) and a high detection probability (0.6).

Suggested Citation

  • Merino Troncoso, Carlos, 2019. "Optimal dynamic antitrust fines," MPRA Paper 96781, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:96781
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    References listed on IDEAS

    as
    1. Motchenkova, Evgenia, 2008. "Determination of optimal penalties for antitrust violations in a dynamic setting," European Journal of Operational Research, Elsevier, vol. 189(1), pages 269-291, August.
    2. Gary S. Becker, 1974. "Crime and Punishment: An Economic Approach," NBER Chapters, in: Essays in the Economics of Crime and Punishment, pages 1-54, National Bureau of Economic Research, Inc.
    3. Leung, Siu Fai, 1991. "How to make the fine fit the corporate crime? : An analysis of static and dynamic optimal punishment theories," Journal of Public Economics, Elsevier, vol. 45(2), pages 243-256, July.
    4. Allain, Marie-Laure & Boyer, Marcel & Kotchoni, Rachidi & Ponssard, Jean-Pierre, 2015. "Are cartel fines optimal? Theory and evidence from the European Union," International Review of Law and Economics, Elsevier, vol. 42(C), pages 38-47.
    5. Garoupa, Nuno, 2001. "Optimal magnitude and probability of fines," European Economic Review, Elsevier, vol. 45(9), pages 1765-1771, October.
    6. Joseph E. Harrington, 2005. "Optimal Cartel Pricing In The Presence Of An Antitrust Authority," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 46(1), pages 145-169, February.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    antitrust; cartel; differential games;
    All these keywords.

    JEL classification:

    • K21 - Law and Economics - - Regulation and Business Law - - - Antitrust Law
    • L4 - Industrial Organization - - Antitrust Issues and Policies

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