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Misdemeanor Prosecution

Author

Listed:
  • Agan, Amanda

    (Rutgers University)

  • Doleac, Jennifer

    (Texas A&M University)

  • Harvey, Anna

    (New York University)

Abstract

Communities across the United States are reconsidering the public safety benefits of prosecuting nonviolent misdemeanor offenses. So far there has been little empirical evidence to inform policy in this area. In this paper we report the first estimates of the causal effects of misdemeanor prosecution on defendants' subsequent criminal justice involvement. We leverage the as-if random assignment of nonviolent misdemeanor cases to Assistant District Attorneys (ADAs) who decide whether a case should move forward with prosecution in the Suffolk County District Attorney's Office in Massachusetts. These ADAs vary in the average leniency of their prosecution decisions. We find that, for the marginal defendant, nonprosecution of a nonviolent misdemeanor offense leads to large reductions in the likelihood of a new criminal complaint over the next two years. These local average treatment effects are largest for first-time defendants, suggesting that averting initial entry into the criminal justice system has the greatest benefits. We also present evidence that a recent policy change in Suffolk County imposing a presumption of nonprosecution for a set of nonviolent misdemeanor offenses had similar beneficial effects: the likelihood of future criminal justice involvement fell, with no apparent increase in local crime rates.

Suggested Citation

  • Agan, Amanda & Doleac, Jennifer & Harvey, Anna, 2021. "Misdemeanor Prosecution," IZA Discussion Papers 14234, Institute of Labor Economics (IZA).
    • Handle: RePEc:iza:izadps:dp14234
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    1. Will Dobbie & Hans Grönqvist & Susan Niknami & Mårten Palme & Mikael Priks, 2018. "The Intergenerational Effects of Parental Incarceration," NBER Working Papers 24186, National Bureau of Economic Research, Inc.
    2. James J. Heckman & Edward Vytlacil, 2005. "Structural Equations, Treatment Effects, and Econometric Policy Evaluation," Econometrica, Econometric Society, vol. 73(3), pages 669-738, May.
    3. Will Dobbie & Jacob Goldin & Crystal S. Yang, 2018. "The Effects of Pretrial Detention on Conviction, Future Crime, and Employment: Evidence from Randomly Assigned Judges," American Economic Review, American Economic Association, vol. 108(2), pages 201-240, February.
    4. Achim Ahrens & Christian B. Hansen & Mark E Schaffer, 2018. "PDSLASSO: Stata module for post-selection and post-regularization OLS or IV estimation and inference," Statistical Software Components S458459, Boston College Department of Economics, revised 24 Jan 2019.
    5. Cornelissen, Thomas & Dustmann, Christian & Raute, Anna & Schönberg, Uta, 2016. "From LATE to MTE: Alternative methods for the evaluation of policy interventions," Labour Economics, Elsevier, vol. 41(C), pages 47-60.
    6. Ozkan Eren & Naci Mocan, 2021. "Juvenile Punishment, High School Graduation, and Adult Crime: Evidence from Idiosyncratic Judge Harshness," The Review of Economics and Statistics, MIT Press, vol. 103(1), pages 34-47, March.
    7. Diamond, Rebecca & Guren, Adam & Tan, Rose, 2020. "The Effect of Foreclosures on Homeowners, Tenants, and Landlords," Research Papers 3877, Stanford University, Graduate School of Business.
    8. John Eric Humphries & Nicholas Mader & Daniel Tannenbaum & Winnie van Dijk, 2019. "Does Eviction Cause Poverty? Quasi-Experimental Evidence from Cook County, IL," CESifo Working Paper Series 7800, CESifo.
    9. Markus Gehrsitz, 2017. "Speeding, Punishment, and Recidivism: Evidence from a Regression Discontinuity Design," Journal of Law and Economics, University of Chicago Press, vol. 60(3), pages 497-528.
    10. Heckman, James J. & Urzúa, Sergio, 2010. "Comparing IV with structural models: What simple IV can and cannot identify," Journal of Econometrics, Elsevier, vol. 156(1), pages 27-37, May.
    11. Jerry A. Hausman & Whitney K. Newey & Tiemen Woutersen & John C. Chao & Norman R. Swanson, 2012. "Instrumental variable estimation with heteroskedasticity and many instruments," Quantitative Economics, Econometric Society, vol. 3(2), pages 211-255, July.
    12. Abadie, Alberto, 2003. "Semiparametric instrumental variable estimation of treatment response models," Journal of Econometrics, Elsevier, vol. 113(2), pages 231-263, April.
    13. James J. Heckman & Sergio Urzua & Edward Vytlacil, 2006. "Understanding Instrumental Variables in Models with Essential Heterogeneity," The Review of Economics and Statistics, MIT Press, vol. 88(3), pages 389-432, August.
    14. Nicole Maestas & Kathleen J. Mullen & Alexander Strand, 2013. "Does Disability Insurance Receipt Discourage Work? Using Examiner Assignment to Estimate Causal Effects of SSDI Receipt," American Economic Review, American Economic Association, vol. 103(5), pages 1797-1829, August.
    15. Emily Leslie & Nolan G. Pope, 2017. "The Unintended Impact of Pretrial Detention on Case Outcomes: Evidence from New York City Arraignments," Journal of Law and Economics, University of Chicago Press, vol. 60(3), pages 529-557.
    16. Aaron Chalfin & Justin McCrary, 2017. "Criminal Deterrence: A Review of the Literature," Journal of Economic Literature, American Economic Association, vol. 55(1), pages 5-48, March.
    17. José Luis Montiel Olea & Carolin Pflueger, 2013. "A Robust Test for Weak Instruments," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 31(3), pages 358-369, July.
    18. John C. Chao & Norman R. Swanson, 2005. "Consistent Estimation with a Large Number of Weak Instruments," Econometrica, Econometric Society, vol. 73(5), pages 1673-1692, September.
    19. Gehrsitz, Markus, 2017. "Speeding, Punishment, and Recidivism: Evidence from a Regression Discontinuity Design," IZA Discussion Papers 10707, Institute of Labor Economics (IZA).
    20. Joseph J. Doyle Jr., 2007. "Child Protection and Child Outcomes: Measuring the Effects of Foster Care," American Economic Review, American Economic Association, vol. 97(5), pages 1583-1610, December.
    21. Brigham Frandsen & Lars Lefgren & Emily Leslie, 2023. "Judging Judge Fixed Effects," American Economic Review, American Economic Association, vol. 113(1), pages 253-277, January.
    22. Samuel Norris & Matthew Pecenco & Jeffrey Weaver, 2021. "The Effects of Parental and Sibling Incarceration: Evidence from Ohio," American Economic Review, American Economic Association, vol. 111(9), pages 2926-2963, September.
    23. Randi Hjalmarsson, 2009. "Juvenile Jails: A Path to the Straight and Narrow or to Hardened Criminality?," Journal of Law and Economics, University of Chicago Press, vol. 52(4), pages 779-809, November.
    24. Martin Eckhoff Andresen, 2018. "Exploring marginal treatment effects: Flexible estimation using Stata," Stata Journal, StataCorp LP, vol. 18(1), pages 118-158, March.
    25. Bekker, Paul A, 1994. "Alternative Approximations to the Distributions of Instrumental Variable Estimators," Econometrica, Econometric Society, vol. 62(3), pages 657-681, May.
    26. Anna Aizer & Joseph J. Doyle, 2015. "Juvenile Incarceration, Human Capital, and Future Crime: Evidence from Randomly Assigned Judges," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 130(2), pages 759-803.
    27. Anna, Petrenko, 2016. "Мaркування готової продукції як складова частина інформаційного забезпечення маркетингової діяльності підприємств овочепродуктового підкомплексу," Agricultural and Resource Economics: International Scientific E-Journal, Agricultural and Resource Economics: International Scientific E-Journal, vol. 2(1), March.
    28. Libor Dušek & Christian Traxler, 2022. "Learning from Law Enforcement," Journal of the European Economic Association, European Economic Association, vol. 20(2), pages 739-777.
    29. Martin Eckhoff Andresen, 2019. "MTEFE: Stata module to compute marginal treatment effects with factor variables," Statistical Software Components S458654, Boston College Department of Economics.
    30. Joshua D. Angrist & Alan B. Keueger, 1991. "Does Compulsory School Attendance Affect Schooling and Earnings?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 106(4), pages 979-1014.
    31. Jesse M. Shapiro, 2007. "Do Harsher Prison Conditions Reduce Recidivism? A Discontinuity-based Approach," American Law and Economics Review, American Law and Economics Association, vol. 9(1), pages 1-29.
    32. Bjorklund, Anders & Moffitt, Robert, 1987. "The Estimation of Wage Gains and Welfare Gains in Self-selection," The Review of Economics and Statistics, MIT Press, vol. 69(1), pages 42-49, February.
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    2. Sönke Hendrik Matthewes & Guglielmo Ventura, 2022. "On Track to Success? Returns to vocational education against different alternatives," CVER Research Papers 038, Centre for Vocational Education Research.
    3. Manasi Deshpande & Michael G. Mueller-Smith, 2022. "Does Welfare Prevent Crime? The Criminal Justice Outcomes of Youth Removed From SSI," NBER Working Papers 29800, National Bureau of Economic Research, Inc.
    4. Sönke Hendrik Matthewes & Guglielmo Ventura, 2022. "On Track to Success? Returns to Vocational Education Against Different Alternatives," CEPA Discussion Papers 58, Center for Economic Policy Analysis.
    5. William Arbour & Steeve Marchand, 2022. "Parole, Recidivism, and the Role of Supervised Transition," Working Papers tecipa-725, University of Toronto, Department of Economics.
    6. Vitor Possebom, 2021. "Crime and Mismeasured Punishment: Marginal Treatment Effect with Misclassification," Papers 2106.00536, arXiv.org, revised Jul 2023.

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    More about this item

    Keywords

    crime; prosecution; courts; recidivism;
    All these keywords.

    JEL classification:

    • K4 - Law and Economics - - Legal Procedure, the Legal System, and Illegal Behavior

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