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Sentencing Guidelines and Judicial Discretion: Quasi‐Experimental Evidence from Human Calculation Errors

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  • Shawn D. Bushway
  • Emily G. Owens
  • Anne Morrison Piehl

Abstract

The extent to which rules set by the legislature bind or influence decisions regarding sentence length is central to institutional design and to determining the practical impact of any proposed reform regarding criminal punishment. However, it is generally difficult to identify empirically the impact of sentencing recommendations because court actors may have preferences that are correlated with those outlined in the guidelines. In this article, we take advantage of a new source of identification to study how government actors interact and make decisions in the criminal sentencing process. We identify instances in the Maryland circuit court in which the case facts are not consistent with the final sentence recommendation—inconsistencies that appear to be the result of human error and exogenous to the preferences of downstream actors. We find that even an advisory guidelines system like the one in Maryland has a direct impact on judicial decision making in cases involving drugs and violent crimes. Judges appear eager to go along with an erroneous lesser sentence for violent offenses. In contrast, judges appear to discount mistakes that are too high. This asymmetry does not occur for property and drug offenses that are simpler and more frequently encountered. More generally, experience matters. Error rates are lower for more frequently occurring offense types and lower for those court professionals who complete more of the sentencing worksheets. The net effect of sentencing guidelines on time served appears to be small because parole boards counteract the remaining influence of the guidelines.

Suggested Citation

  • Shawn D. Bushway & Emily G. Owens & Anne Morrison Piehl, 2012. "Sentencing Guidelines and Judicial Discretion: Quasi‐Experimental Evidence from Human Calculation Errors," Journal of Empirical Legal Studies, John Wiley & Sons, vol. 9(2), pages 291-319, June.
  • Handle: RePEc:wly:empleg:v:9:y:2012:i:2:p:291-319
    DOI: 10.1111/j.1740-1461.2012.01254.x
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    1. Max M. Schanzenbach & Emerson H. Tiller, 2007. "Strategic Judging Under the U.S. Sentencing Guidelines: Positive Political Theory and Evidence," The Journal of Law, Economics, and Organization, Oxford University Press, vol. 23(1), pages 24-56, April.
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    Cited by:

    1. Christoph Engel, 2016. "Experimental Criminal Law. A Survey of Contributions from Law, Economics and Criminology," Discussion Paper Series of the Max Planck Institute for Research on Collective Goods 2016_07, Max Planck Institute for Research on Collective Goods.
    2. Bindler, Anna & Hjalmarsson, Randi, 2016. "The Fall of Capital Punishment and the Rise of Prisons: How Punishment Severity Affects Jury Verdicts," Working Papers in Economics 674, University of Gothenburg, Department of Economics.
    3. DeAngelo, Gregory & Owens, Emily G., 2017. "Learning the ropes: General experience, task-Specific experience, and the output of police officers," Journal of Economic Behavior & Organization, Elsevier, vol. 142(C), pages 368-377.
    4. Estelle, Sarah M. & Phillips, David C., 2018. "Smart sentencing guidelines: The effect of marginal policy changes on recidivism," Journal of Public Economics, Elsevier, vol. 164(C), pages 270-293.
    5. M. Marit Rehavi & Sonja B. Starr, 2014. "Racial Disparity in Federal Criminal Sentences," Journal of Political Economy, University of Chicago Press, vol. 122(6), pages 1320-1354.
    6. William Harbaugh & Naci Mocan & Michael Visser, 2013. "Theft and Deterrence," Journal of Labor Research, Springer, vol. 34(4), pages 389-407, December.
    7. Kevin Kwok‐yin Cheng & Sayaka Ri & Natasha Pushkarna, 2020. "Judicial Disparity, Deviation, and Departures from Sentencing Guidelines: The Case of Hong Kong," Journal of Empirical Legal Studies, John Wiley & Sons, vol. 17(3), pages 580-614, September.
    8. Cécile Bourreau-Dubois & Bruno Deffains & Myriam Doriat-Duban & Bruno Jeandidier, 2021. "Guidelines: Decision-Making Tools for Litigantsand Judges [Les barèmes, outils d’aide à la décision pour les justiciables et les juges]," Post-Print hal-03054417, HAL.
    9. Christoph Engel, 2022. "Judicial Decision-Making. A Survey of the Experimental Evidence," Discussion Paper Series of the Max Planck Institute for Research on Collective Goods 2022_06, Max Planck Institute for Research on Collective Goods.

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    More about this item

    JEL classification:

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

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