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Ordered Leniency: An Experimental Study of Law Enforcement with Self-Reporting

Author

Listed:
  • Landeo, Claudia

    (University of Alberta, Department of Economics)

  • Spier, Kathryn

    (Harvard Law School)

Abstract

This paper reports the results of an experiment designed to assess the ability of an enforcement agency to detect and deter harmful short-term activities committed by groups of injurers. With ordered-leniency policies, early cooperators receive reduced sanctions. We replicate the strategic environment described by Landeo and Spier (2018). In theory, the optimal ordered leniency policy depends on the refinement criterion applied in case of multiplicity of equilibria. Our findings are as follows. First, we provide empirical evidence of a "race-to-the-courthouse" effect of ordered leniency: Mild and Strong Leniency induce the injurers to self-report promptly. These findings suggest that the injurers' behaviors are aligned with the risk-dominance refinement. Second, Mild and Strong Leniency significantly increase the likelihood of detection of harmful activities. This fundamental finding is explained by the high self-reporting rates under ordered-leniency policies. Third, as a result of the increase in the detection rates, the averages fines are significantly higher under Mild and Strong Leniency. As expected when the risk-dominance refinement is applied, Mild Leniency exhibits the highest average fine.

Suggested Citation

  • 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.
  • Handle: RePEc:ris:albaec:2018_013
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    References listed on IDEAS

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    Cited by:

    1. 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.
    2. Iwasaki, Masaki, 2020. "A model of corporate self-policing and self-reporting," International Review of Law and Economics, Elsevier, vol. 63(C).
    3. Claudia M. Landeo & Kathryn E. Spier, 2020. "Optimal Law Enforcement with Ordered Leniency," Journal of Law and Economics, University of Chicago Press, vol. 63(1), pages 71-111.
    4. Immordino, Giovanni & Piccolo, Salvatore & Roberti, Paolo, 2020. "Optimal leniency and the organization design of group crime," Journal of Public Economics, Elsevier, vol. 191(C).

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    More about this item

    Keywords

    Law Enforcement; Ordered Leniency; Self-Reporting; Experiments; Leniency; Co-ordination Game; Prisoners Dilemma Game; Risk Dominance; Pareto Dominance; Equilibrium Selection; Non-Cooperative Games; Harmful Externalities; 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
    • C90 - Mathematical and Quantitative Methods - - Design of Experiments - - - General
    • 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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