IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/96781.html
   My bibliography  Save this paper

Optimal dynamic antitrust fines

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/96781/1/MPRA_paper_96781.pdf
    File Function: original version
    Download Restriction: no

    References listed on IDEAS

    as
    1. Garoupa, Nuno, 2001. "Optimal magnitude and probability of fines," European Economic Review, Elsevier, vol. 45(9), pages 1765-1771, October.
    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. 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.
    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. 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.
    6. 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.
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

    antitrust; cartel; differential games;

    JEL classification:

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

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pra:mprapa:96781. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Joachim Winter). General contact details of provider: http://edirc.repec.org/data/vfmunde.html .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.