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Cost Minimizing Sequential Punishment Policies for Repeat Offenders

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  • Motchenkova, Evgenia

    (Vrije Universiteit Amsterdam, Faculteit der Economische Wetenschappen en Econometrie (Free University Amsterdam, Faculty of Economics Sciences, Business Administration and Economitrics)

Abstract

This paper concludes that, when offenders are wealth constrained and the government is resource constrained and can commit to a certain policy throughout the whole planning horizon, cost minimizing deterrence is decreasing, rather than increasing, in the number of offenses. By extending the framework, suggested in Emons (2003), to n-periods setting, we prove that for the agents who may commit an act several times, optimal sanctions are such that the fine for the first crime equals the offender's entire wealth, and the fines are zero for all the subsequent crimes. This result contradicts the widely prevailing escalating penalties imbedded in many penal codes and sentencing guidelines. In addition, analogous to Emons (2004), this scheme does not appear to be a time consistent (subgame perfect) strategy for the government in an n-periods setting. Moreover, we show that, if the government cannot commit, equal rather than decreasing sanctions will be optimal.

Suggested Citation

  • Motchenkova, Evgenia, 2006. "Cost Minimizing Sequential Punishment Policies for Repeat Offenders," Serie Research Memoranda 0008, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
  • Handle: RePEc:vua:wpaper:2006-8
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    References listed on IDEAS

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    1. Malik Arun S., 1993. "Self-Reporting and the Design of Policies for Regulating Stochastic Pollution," Journal of Environmental Economics and Management, Elsevier, vol. 24(3), pages 241-257, May.
    2. 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.
    3. Landsberger, Michael & Meilijson, Isaac, 1982. "Incentive generating state dependent penalty system : The case of income tax evasion," Journal of Public Economics, Elsevier, vol. 19(3), pages 333-352, December.
    4. Emons, Winand, 2003. "A note on the optimal punishment for repeat offenders," International Review of Law and Economics, Elsevier, vol. 23(3), pages 253-259, September.
    5. Burnovski, Moshe & Safra, Zvi, 1994. "Deterrence effects of sequential punishment policies: Should repeat offenders be more severely punished?," International Review of Law and Economics, Elsevier, vol. 14(3), pages 341-350, September.
    6. Leung, Siu Fai, 1991. "How to make the fine fit the corporate crime? : An analysis of static and dynamic optimal punishment theories," Journal of Public Economics, Elsevier, vol. 45(2), pages 243-256, July.
    7. Nuno Garoupa, 1997. "The Theory of Optimal Law Enforcement," Journal of Economic Surveys, Wiley Blackwell, vol. 11(3), pages 267-295, September.
    8. Garoupa, Nuno, 1997. "The Theory of Optimal Law Enforcement," Journal of Economic Surveys, Wiley Blackwell, vol. 11(3), pages 267-295, September.
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    Cited by:

    1. Lisa R. Anderson & Gregory DeAngelo & Winand Emons & Beth Freeborn & Hannes Lang, 2017. "Penalty Structures And Deterrence In A Two-Stage Model: Experimental Evidence," Economic Inquiry, Western Economic Association International, vol. 55(4), pages 1833-1867, October.
    2. Alfred Endres & Bianca Rundshagen, 2012. "Escalating penalties: a supergame approach," Economics of Governance, Springer, vol. 13(1), pages 29-49, March.
    3. Wolfgang Eggert & Steffen Minter & Maximilian Stephan & Handirk Ungern-Sternberg, 2017. "Sanctions for repeat offenders: a question of wealth?," Scottish Journal of Political Economy, Scottish Economic Society, vol. 64(5), pages 467-482, November.
    4. Leshem, Shmuel & Tabbach, Avraham, 2023. "The option value of record-based sanctions," Games and Economic Behavior, Elsevier, vol. 137(C), pages 1-22.
    5. Endres Alfred & Rundshagen Bianca, 2016. "Optimal Penalties for Repeat Offenders – The Role of Offence History," The B.E. Journal of Theoretical Economics, De Gruyter, vol. 16(2), pages 545-578, June.
    6. Stan Miles & Derek Pyne, 2015. "Deterring repeat offenders with escalating penalty schedules: a Bayesian approach," Economics of Governance, Springer, vol. 16(3), pages 229-250, August.

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    More about this item

    Keywords

    Crime and punishment; Repeat offenders; Subgame perfection;
    All these keywords.

    JEL classification:

    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
    • K41 - Law and Economics - - Legal Procedure, the Legal System, and Illegal Behavior - - - Litigation Process
    • K42 - Law and Economics - - Legal Procedure, the Legal System, and Illegal Behavior - - - Illegal Behavior and the Enforcement of Law

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