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Optimal Law Enforcement with Ordered Leniency

Author

Listed:
  • Claudia M. Landeo

    (University of Alberta)

  • Kathryn E. Spier

    (Harvard Law School and NBER)

Abstract

This paper studies the design of enforcement policies to detect and deter harmful short-term activities committed by groups of injurers. With an ordered-leniency policy, the degree of leniency granted to an injurer who self-reports depends on his or her position in the self-reporting queue. By creating a “race to the courthouse,” ordered-leniency policies lead to faster detection and stronger deterrence of illegal activities. The socially-optimal level of deterrence can be obtained at zero cost when the externalities associated with the harmful activities are not too high. Without leniency for self-reporting, the enforcement cost is strictly positive and there is underdeterrence of harmful activities relative to the first-best level. Hence, ordered-leniency policies are welfare improving. Our findings for environments with groups of injurers complement Kaplow and Shavell's (1994) results for single-injurer environments.

Suggested Citation

  • Claudia M. Landeo & Kathryn E. Spier, 2018. "Optimal Law Enforcement with Ordered Leniency," Working Papers 126, Peruvian Economic Association.
  • Handle: RePEc:apc:wpaper:126
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    References listed on IDEAS

    as
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    Cited by:

    1. 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.
    2. Andres, Maximilian & Bruttel, Lisa & Friedrichsen, Jana, 2021. "The leniency rule revisited: Experiments on cartel formation with open communication," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 76, pages 1-1.
    3. Iwasaki, Masaki, 2020. "A model of corporate self-policing and self-reporting," International Review of Law and Economics, Elsevier, vol. 63(C).
    4. Emilie Dargaud & Armel Jacques, 2020. "Slowdown antitrust investigations by decentralization," Working Papers halshs-02613352, HAL.
    5. Landeo, Claudia & Spier, Kathryn, 2018. "Ordered Leniency: An Experimental Study of Law Enforcement with Self-Reporting," Working Papers 2018-13, University of Alberta, Department of Economics.
    6. Giovanni Immordino & Salvatore Piccolo & Paolo Roberti, 2018. "Criminal Networks, Market Externalities and Optimal Leniency," CSEF Working Papers 519, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy.
    7. Immordino, Giovanni & Piccolo, Salvatore & Roberti, Paolo, 2020. "Optimal leniency and the organization design of group crime," Journal of Public Economics, Elsevier, vol. 191(C).
    8. Emmanuelle Auriol & Erling Hjelmeng & Tina Søreide, 2023. "Corporate criminals in a market context: enforcement and optimal sanctions," European Journal of Law and Economics, Springer, vol. 56(2), pages 225-287, October.

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    More about this item

    Keywords

    Law Enforcement; Ordered Leniency; Self-Reporting; Leniency; Harmful Externalities; Non-Cooperative Games; Prisoners' Dilemma Game; Coordination Game; Risk Dominance; Pareto Dominance; Corporate Misconduct; White-Collar Crime; Securities Fraud; Insider Trading; Market Manipulation; Whistleblowers; Plea Bargaining; Tax Evasion; Environmental Policy Enforcement;
    All these keywords.

    JEL classification:

    • C72 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Noncooperative Games
    • D86 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Economics of Contract Law
    • K10 - Law and Economics - - Basic Areas of Law - - - General (Constitutional Law)
    • L23 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Organization of Production

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