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Optimal Reduction of Cartel Fines induced by the Settlement Procedure

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  • Fotis, Panagiotis
  • Tselekounis, Markos

Abstract

EC’s Notice on the conduct of settlement procedures mentions that if the EC decides to reward a firm for settlement in the framework of its Notice, a reduction of 10% on cartel fine will be granted to that firm. In this paper, we compare the cartel profits with the ones derived when the cartel members decide to settle with competition authority so as to find the optimal reduction on cartel fines that fulfills EC’s Notice goal of inducing all cartel firms to participate in the settlement procedure. We find that such reduction is negatively correlated with the likelihood that the cartel would be detected, meaning that a higher probability of cartel detection is required for a lower reduction to be effective.

Suggested Citation

  • Fotis, Panagiotis & Tselekounis, Markos, 2020. "Optimal Reduction of Cartel Fines induced by the Settlement Procedure," MPRA Paper 99154, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:99154
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    References listed on IDEAS

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    8. Hugh C. Briggs III & Kathleen D. Huryn & Mark E. McBride, 1996. "Treble Damages and the Incentive to Sue and Settle," RAND Journal of Economics, The RAND Corporation, vol. 27(4), pages 770-786, Winter.
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    Cited by:

    1. Peter T. Dijkstra & Jacob Seifert, 2023. "Cartel Leniency and Settlements: A Joint Perspective," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 63(2), pages 239-273, September.

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    More about this item

    Keywords

    Antitrust policy; Competition policy; Cartel fines; Settlement Procedure;
    All these keywords.

    JEL classification:

    • K21 - Law and Economics - - Regulation and Business Law - - - Antitrust Law
    • L13 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Oligopoly and Other Imperfect Markets
    • L41 - Industrial Organization - - Antitrust Issues and Policies - - - Monopolization; Horizontal Anticompetitive Practices

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