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The Behavioral Economics of Crime and Punishment

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  • Sanjit Dhami
  • Ali al-Nowaihi

Abstract

The Becker proposition (BP) is one of the founding pillars of the modern literature on Law and Economics. It states that it is optimal to impose the severest possible punishment (to maintain effective deterrence) at the lowest possible probability (to economize on enforcement costs). The BP is not consistent with the evidence. This is known as the Becker paradox. Using evidence from a wide range of phenomena we show that none of the proposed explanations for the Becker paradox are satisfactory. The BP has largely been considered within an expected utility framework. We clarify the Becker proposition and its welfare implications under expected utility. We show that BP also holds under rank dependent expected utility and cumulative prospect theory, the two main alternatives to expected utility. al-Nowaihi and Dhami (2010a) recently propose composite cumulative prospect theory that combines prospect theory with cumulative prospect theory. Under plausible conditions CCP is able to resolve the Becker paradox. Our article opens the way for incorporating non-expected utility theories into an economic analysis of criminal activity.

Suggested Citation

  • Sanjit Dhami & Ali al-Nowaihi, 2010. "The Behavioral Economics of Crime and Punishment," Discussion Papers in Economics 10/14, Division of Economics, School of Business, University of Leicester, revised Jul 2010.
    • Handle: RePEc:lec:leecon:10/14
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    References listed on IDEAS

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    1. Ali al-Nowaihi & Sanjit Dhami, 2010. "Composite Prospect Theory: A proposal to combine ‘prospect theory’ and ‘cumulative prospect theory’," Discussion Papers in Economics 10/11, Division of Economics, School of Business, University of Leicester.
    2. Ali al-Nowaihi & Sanjit Dhami, 2010. "Probability Weighting Functions," Discussion Papers in Economics 10/10, Division of Economics, School of Business, University of Leicester.
    3. Avner Bar-Ilan & Bruce Sacerdote, 2001. "The Response to Fines and Probability of Detection in a Series of Experiments," NBER Working Papers 8638, National Bureau of Economic Research, Inc.
    4. Bar-Ilan, Avner & Sacerdote, Bruce, 2004. "The Response of Criminals and Noncriminals to Fines," Journal of Law and Economics, University of Chicago Press, vol. 47(1), pages 1-17, April.
    5. Kolm, Serge-Christophe, 1973. "A note on optimum tax evasion," Journal of Public Economics, Elsevier, vol. 2(3), pages 265-270, July.
    6. Camerer, Colin & Kunreuther, Howard, 1989. "Experimental Markets for Insurance," Journal of Risk and Uncertainty, Springer, vol. 2(3), pages 265-299, September.
    7. Ali al-Nowaihi & Ian Bradley & Sanjit Dhami, 2006. "The Utility Function Under Prospect Theory," Discussion Papers in Economics 06/15, Division of Economics, School of Business, University of Leicester.
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    Cited by:

    1. Pyne, Derek, 2012. "Deterrence: Increased enforcement versus harsher penalties," Economics Letters, Elsevier, vol. 117(3), pages 561-562.
    2. Antonio Nicita & Matteo Rizzolli, 2014. "In Dubio Pro Reo. Behavioral Explanations of Pro-defendant Bias in Procedures," CESifo Economic Studies, CESifo, vol. 60(3), pages 554-580.

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    More about this item

    Keywords

    Behavioral economics; Illegal activity; Expected utility theory; Rank dependent expected utility; Prospect theory; Prelec and composite Prelec probability weighting functions; Composite cumulative prospect theory; Punishment functions;
    All these keywords.

    JEL classification:

    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • K42 - Law and Economics - - Legal Procedure, the Legal System, and Illegal Behavior - - - Illegal Behavior and the Enforcement of Law

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