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In Dubio Pro Reo. Behavioral Explanations of Pro-defendant Bias in Procedures

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  • Antonio Nicita
  • Matteo Rizzolli

Abstract

The standard model of optimal deterrence predicts that the probability of wrongful conviction of the innocent is, at the margin, as detrimental to deterrence as the probability of wrongful acquittal of guilty individuals. We extend the model in several directions: using expected utility as well as nonexpected utility to consider the role of risk aversion, nonlinear probability weighting, and loss aversion. We also consider how relevant emotions such as guilt, shame, and indignation play out. Several of these factors support the intuition that wrongful convictions of the innocent do have a larger detrimental impact on deterrence and thus the policy implications are reconciled with the widely shared maxim in dubio pro reo. We then draw some theoretical implications such as a novel justification for the different standards of proof in criminal vs. civil law as well as other policy implications. (JEL Codes: K14, K41, K42)

Suggested Citation

  • Antonio Nicita & Matteo Rizzolli, 2014. "In Dubio Pro Reo. Behavioral Explanations of Pro-defendant Bias in Procedures," CESifo Economic Studies, CESifo Group, vol. 60(3), pages 554-580.
    • Handle: RePEc:oup:cesifo:v:60:y:2014:i:3:p:554-580.
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    Cited by:

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    2. Marie Obidzinski & Yves Oytana, 2020. "Presumption of Innocence and Deterrence," Journal of Institutional and Theoretical Economics (JITE), Mohr Siebeck, Tübingen, vol. 176(2), pages 377-412.
    3. Obidzinski, Marie & Oytana, Yves, 2019. "Identity errors and the standard of proof," International Review of Law and Economics, Elsevier, vol. 57(C), pages 73-80.
    4. Marie Obidzinski & Yves Oytana, 2018. "Identity mistakes and the standard of proof," Working Papers halshs-01879555, HAL.
    5. Mungan Murat C., 2018. "Mere Preparation," Review of Law & Economics, De Gruyter, vol. 14(2), pages 1-15, July.
    6. Lando, Henrik & Mungan, Murat C., 2018. "The effect of type-1 error on deterrence," International Review of Law and Economics, Elsevier, vol. 53(C), pages 1-8.
    7. Roee Sarel, 2022. "Crime and punishment in times of pandemics," European Journal of Law and Economics, Springer, vol. 54(2), pages 155-186, October.
    8. Markussen, Thomas & Putterman, Louis & Tyran, Jean-Robert, 2016. "Judicial error and cooperation," European Economic Review, Elsevier, vol. 89(C), pages 372-388.
    9. Yves Oytana & Marie Obidzinski, 2017. "How does the probability of wrongful conviction affect the standard of proof?," Working Papers 2017-02, CRESE.
    10. Mungan, Murat C., 2015. "Wrongful convictions and the punishment of attempts," International Review of Law and Economics, Elsevier, vol. 42(C), pages 79-87.
    11. Matteo Rizzolli, 2016. "Adjudication: Type-I and Type-II Errors," CERBE Working Papers wpC15, CERBE Center for Relationship Banking and Economics.
    12. Alice Guerra & Barbara Luppi & Francesco Parisi, 2022. "Do presumptions of negligence incentivize optimal precautions?," European Journal of Law and Economics, Springer, vol. 54(3), pages 349-368, December.

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    More about this item

    JEL classification:

    • K14 - Law and Economics - - Basic Areas of Law - - - Criminal Law
    • 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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