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Who Gets a Second Chance? Effectiveness and Equity in Supervision of Criminal Offenders

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  • Evan K Rose

Abstract

Most convicted offenders serve their sentences under “community supervision” at home instead of in prison. Under supervision, however, a technical rule violation, such as not paying fees, can result in incarceration. Rule violations account for 25% of prison admissions nationally and are significantly more common among black offenders. I test whether technical rules are effective tools for identifying likely reoffenders and deterring crime and examine their disparate racial impacts using administrative data from North Carolina. Analysis of a 2011 reform reducing prison punishments for technical violations on probation reveals that 40% of rule breakers would go on to commit crimes if spared harsh punishment. The same reform also closed a 33% black-white gap in incarceration rates without substantially increasing the black-white reoffending gap. These effects combined imply that technical rules target riskier probationers overall but disproportionately affect low-risk black offenders. To justify black probationers’ higher violation rate on efficiency grounds, their crimes must be roughly twice as socially costly as that of white probationers. Exploiting the repeat spell nature of the North Carolina data, I estimate a semiparametric competing risks model that allows me to distinguish the effects of particular types of technical rules from unobserved probationer heterogeneity. Rules related to the payment of fees and fines, which are common in many states, are ineffective in tagging likely reoffenders and drive differential effects by race. These findings illustrate the potentially large influence of ostensibly race-neutral policies on racial disparities in the justice system.

Suggested Citation

  • Evan K Rose, 2021. "Who Gets a Second Chance? Effectiveness and Equity in Supervision of Criminal Offenders," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 136(2), pages 1199-1253.
  • Handle: RePEc:oup:qjecon:v:136:y:2021:i:2:p:1199-1253.
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    File URL: http://hdl.handle.net/10.1093/qje/qjaa046
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    Citations

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    Cited by:

    1. Patrick Kline & Evan K Rose & Christopher R Walters, 2022. "Systemic Discrimination Among Large U.S. Employers [“Teachers and Student Achievement in the Chicago Public High Schools,”]," The Quarterly Journal of Economics, Oxford University Press, vol. 137(4), pages 1963-2036.
    2. David Arnold & Will Dobbie & Peter Hull, 2022. "Measuring Racial Discrimination in Bail Decisions," American Economic Review, American Economic Association, vol. 112(9), pages 2992-3038, September.
    3. Brendon McConnell, 2023. "What's Logs Got to do With it: On the Perils of log Dependent Variables and Difference-in-Differences," Papers 2308.00167, arXiv.org, revised Aug 2023.
    4. Patrick Kline & Evan K Rose & Christopher R Walters, 2023. "Systemic Discrimination Among Large U.S. Employers," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 137(4), pages 1963-2036.
    5. Bleemer, Zachary, 2023. "Affirmative action and its race-neutral alternatives," Journal of Public Economics, Elsevier, vol. 220(C).
    6. Ben Deaner & Hyejin Ku, 2024. "Causal Duration Analysis with Diff-in-Diff," Papers 2405.05220, arXiv.org.
    7. Thai V Le & Matthew M Young, 2023. "Regressive revenue sourcing by local governments," Urban Studies, Urban Studies Journal Limited, vol. 60(5), pages 811-828, April.
    8. Franco, Catalina & Harding, David J. & Bushway, Shawn D. & Morenoff, Jeffrey, 2022. "Failing to Follow the Rules: Can Imprisonment Lead to More Imprisonment Without More Actual Crime?," Discussion Paper Series in Economics 3/2022, Norwegian School of Economics, Department of Economics, revised 01 Oct 2018.

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