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Leniency Can Increase Deterrence

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  • Lundberg, Alexander

Abstract

Police discretion raises deterrence if the odds of lenient treatment fall with the severity of the crime. Leniency also provides an incentive for citizens to cooperate with law enforcement. When the police discover a crime, a guilty citizen decides whether to share any information. If such cooperation ever reveals a secondary crime, a citizen only shares information if the police sometimes reduce penalties for the initial crime. Thus, when citizens are multiply active in crime, discretion is a further tool for deterrence. Generous discounts induce universal cooperation, and the possibility of being caught for a secondary crime reduces the incentive to invest in every crime.

Suggested Citation

  • Lundberg, Alexander, 2019. "Leniency Can Increase Deterrence," International Review of Law and Economics, Elsevier, vol. 60(C).
  • Handle: RePEc:eee:irlaec:v:60:y:2019:i:c:s0144818819301814
    DOI: 10.1016/j.irle.2019.105862
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    as
    1. Gamba, Astrid & Immordino, Giovanni & Piccolo, Salvatore, 2018. "Corruption, organized crime and the bright side of subversion of law," Journal of Public Economics, Elsevier, vol. 159(C), pages 79-88.
    2. Innes, Robert, 2000. "Self-Reporting in Optimal Law Enforcement When Violators Have Heterogeneous Probabilities of Apprehension," The Journal of Legal Studies, University of Chicago Press, vol. 29(1), pages 287-300, January.
    3. 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.
    4. Shamena Anwar & Hanming Fang, 2006. "An Alternative Test of Racial Prejudice in Motor Vehicle Searches: Theory and Evidence," American Economic Review, American Economic Association, vol. 96(1), pages 127-151, March.
    5. John Knowles & Nicola Persico & Petra Todd, 2001. "Racial Bias in Motor Vehicle Searches: Theory and Evidence," Journal of Political Economy, University of Chicago Press, vol. 109(1), pages 203-232, February.
    6. Jahn K. Hakes, 2008. "Case Dismissed: Police Discretion and Racial Differences in Dismissals of Felony Charges," American Law and Economics Review, American Law and Economics Association, vol. 10(1), pages 110-141.
    7. Dharmapala Dhammika & Ross Stephen L, 2004. "Racial Bias in Motor Vehicle Searches: Additional Theory and Evidence," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 3(1), pages 1-21, September.
    8. Mookherjee, Dilip & Png, I P L, 1994. "Marginal Deterrence in Enforcement of Law," Journal of Political Economy, University of Chicago Press, vol. 102(5), pages 1039-1066, October.
    9. Innes, Robert, 2001. "Violator Avoidance Activities and Self-Reporting in Optimal Law Enforcement," The Journal of Law, Economics, and Organization, Oxford University Press, vol. 17(1), pages 239-256, April.
    10. Roland G. Fryer, Jr, 2016. "An Empirical Analysis of Racial Differences in Police Use of Force," NBER Working Papers 22399, National Bureau of Economic Research, Inc.
    11. Mungan, Murat C., 2017. "Reducing crime through expungements," Journal of Economic Behavior & Organization, Elsevier, vol. 137(C), pages 398-409.
    12. Schulhofer, Stephen J, 1988. "Criminal Justice Discretion as a Regulatory System," The Journal of Legal Studies, University of Chicago Press, vol. 17(1), pages 43-82, January.
    13. Murat C. Mungan, 2017. "Erratum to: Over-incarceration and disenfranchisement," Public Choice, Springer, vol. 172(3), pages 397-397, September.
    14. Heiko Gerlach, 2013. "Self-Reporting, Investigation, and Evidentiary Standards," Journal of Law and Economics, University of Chicago Press, vol. 56(4), pages 1061-1090.
    15. Éric Langlais & Marie Obidzinski, 2017. "Law Enforcement with a Democratic Government," American Law and Economics Review, Oxford University Press, vol. 19(1), pages 162-201.
    16. Maria Bigoni & Sven-Olof Fridolfsson & Chloé Le Coq & Giancarlo Spagnolo, 2012. "fines, leniency, and rewards in antitrust," RAND Journal of Economics, RAND Corporation, vol. 43(2), pages 368-390, June.
    17. Decio Coviello & Nicola Persico, 2015. "An Economic Analysis of Black-White Disparities in the New York Police Department's Stop-and-Frisk Program," The Journal of Legal Studies, University of Chicago Press, vol. 44(2), pages 315-360.
    18. Shavell, Steven, 1992. "A note on marginal deterrence," International Review of Law and Economics, Elsevier, vol. 12(3), pages 345-355, September.
    19. Friehe, Tim & Miceli, Thomas J., 2014. "Marginal deterrence when offenders act sequentially," Economics Letters, Elsevier, vol. 124(3), pages 523-525.
    20. Murat C. Mungan, 2016. "Stigma Dilution and Over-Criminalization," American Law and Economics Review, American Law and Economics Association, vol. 18(1), pages 88-121.
    21. Murat C. Mungan, 2017. "Over-incarceration and disenfranchisement," Public Choice, Springer, vol. 172(3), pages 377-395, September.
    22. Mungan, Murat C., 2017. "The certainty versus the severity of punishment, repeat offenders, and stigmatization," Economics Letters, Elsevier, vol. 150(C), pages 126-129.
    23. Nuno Garoupa & Daniel Klerman, 2002. "Optimal Law Enforcement with a Rent-Seeking Government," American Law and Economics Review, American Law and Economics Association, vol. 4(1), pages 116-140, January.
    24. Nathan H. Miller, 2009. "Strategic Leniency and Cartel Enforcement," American Economic Review, American Economic Association, vol. 99(3), pages 750-768, June.
    25. Kaplow, Louis & Shavell, Steven, 1994. "Optimal Law Enforcement with Self-Reporting of Behavior," Journal of Political Economy, University of Chicago Press, vol. 102(3), pages 583-606, June.
    26. Steven Shavell, 2007. "Optimal Discretion in the Application of Rules," American Law and Economics Review, American Law and Economics Association, vol. 9(1), pages 175-194.
    27. Salvatore Piccolo & Giovanni Immordino, 2017. "Organised Crime, Insider Information and Optimal Leniency," Economic Journal, Royal Economic Society, vol. 127(606), pages 2504-2524, November.
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    More about this item

    Keywords

    Crime; Deterrence; Law enforcement; Leniency; Police discretion;
    All these keywords.

    JEL classification:

    • H00 - Public Economics - - General - - - General
    • K14 - Law and Economics - - Basic Areas of Law - - - Criminal Law
    • K40 - Law and Economics - - Legal Procedure, the Legal System, and Illegal Behavior - - - General
    • K42 - Law and Economics - - Legal Procedure, the Legal System, and Illegal Behavior - - - Illegal Behavior and the Enforcement of Law

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