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Optimal Leniency Programs When Firms Have Cumulative and Asymmetric Evidence

Author

Listed:
  • Marc Blatter

    (Universität Bern, Swiss National Bank)

  • Winand Emons

    (Universität Bern, CEPR, Swiss Competition Commission)

  • Silvio Sticher

    (Swiss Federal Railways)

Abstract

An antitrust authority deters collusion with the use of fines and a leniency program. Firms have imperfect cumulative evidence of the collusion. That is, cartel conviction is not automatic if one firm reports. Reporting makes conviction only more likely: the more that firms report, the more likely is conviction. Furthermore, the evidence is distributed asymmetrically among firms. This set-up allows us meaningfully to analyze three typical features of leniency programs: minimum-evidence standards; ringleader discrimination; and marker systems. Minimum-evidence standards provide high-evidence firms with proper incentives to report. They are better at deterring than is ringleader discrimination. Under a marker system only one firm reports so that the antitrust authority never gets the entire available evidence. Appropriate minimum-evidence standards make a marker system redundant.

Suggested Citation

  • Marc Blatter & Winand Emons & Silvio Sticher, 2018. "Optimal Leniency Programs When Firms Have Cumulative and Asymmetric Evidence," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 52(3), pages 403-427, May.
  • Handle: RePEc:kap:revind:v:52:y:2018:i:3:d:10.1007_s11151-017-9586-8
    DOI: 10.1007/s11151-017-9586-8
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    Cited by:

    1. Emons, Winand, 2020. "The effectiveness of leniency programs when firms choose the degree of collusion," International Journal of Industrial Organization, Elsevier, vol. 70(C).
    2. Hannes Wallimann & Silvio Sticher, 2023. "On suspicious tracks: machine-learning based approaches to detect cartels in railway-infrastructure procurement," Papers 2304.11888, arXiv.org.
    3. Konstantinos Charistos, 2022. "Ringleader Discrimination in Leniency Policies," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 61(3), pages 297-315, November.
    4. Catarina Marvão & Giancarlo Spagnolo, 2018. "Cartels and leniency: Taking stock of what we learnt," Chapters, in: Luis C. Corchón & Marco A. Marini (ed.), Handbook of Game Theory and Industrial Organization, Volume II, chapter 4, pages 57-90, Edward Elgar Publishing.
    5. Ruben Korsten & Andrew Samuel, 2023. "Cartel formation and detection: the role of information costs and disclosure," European Journal of Law and Economics, Springer, vol. 56(1), pages 117-153, August.
    6. Isogai, Shigeki & Shen, Chaohai, 2023. "Multiproduct firm’s reputation and leniency program in multimarket collusion," Economic Modelling, Elsevier, vol. 125(C).
    7. Karine Brisset & Francois Cochard & Eve-Angeline Lambert, 2023. "Is Amnesty Plus More Successful in Fighting Multimarket Cartels? An Exploratory Analysis," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 63(2), pages 211-237, September.
    8. 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.
    9. Joseph E. Harrington Jr. & Myong-Hun Chang, 2015. "When Can We Expect a Corporate Leniency Program to Result in Fewer Cartels?," Journal of Law and Economics, University of Chicago Press, vol. 58(2), pages 417-449.

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    More about this item

    Keywords

    Antitrust; Cartels; Deterrence; Leniency; Evidence;
    All these keywords.

    JEL classification:

    • D43 - Microeconomics - - Market Structure, Pricing, and Design - - - Oligopoly and Other Forms of Market Imperfection
    • K21 - Law and Economics - - Regulation and Business Law - - - Antitrust Law
    • K42 - Law and Economics - - Legal Procedure, the Legal System, and Illegal Behavior - - - Illegal Behavior and the Enforcement of Law
    • L40 - Industrial Organization - - Antitrust Issues and Policies - - - General

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