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Tough on young offenders: harmful or helpful?

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  • Lotti, Giulia

    (Department of Economics, University of Warwick)

Abstract

How harshly should society punish young lawbreakers in order to prevent or reduce their criminal activity in the future? Through a fuzzy regression discontinuity design, we shed light on the question by exploiting two quasi-natural experiments stemming to compate outcomes from relatively harsh and rehabilitative criminal incarceration practices involving young offenders in the 1980's in England and Wales. According to our local linear regression estimates, young offenders exposed to the harsher youth facilities are 20.7 percent more likley to recidivate in the nine years subsequent to their custody, and they commit on average 2.84 offences more than offenders who experienced prison. Moreover, they are more likely to commit violent offences, thefts, burglaries and robberies. On the contrary, offenders who were sent to the more rehabilitative youth facilities are less likely to reoffend in the future compared to offenders sent to prison. We conclude that it is effective to keep young offenders from their older peers in prison, but only when they are held in institutions that are not solely focussed on punishment.

Suggested Citation

  • Lotti, Giulia, 2016. "Tough on young offenders: harmful or helpful?," The Warwick Economics Research Paper Series (TWERPS) 1126, University of Warwick, Department of Economics.
  • Handle: RePEc:wrk:warwec:1126
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    1. Lawrence Katz & Steven D. Levitt & Ellen Shustorovich, 2003. "Prison Conditions, Capital Punishment, and Deterrence," American Law and Economics Review, American Law and Economics Association, vol. 5(2), pages 318-343, August.
    2. Francesco Drago & Roberto Galbiati & Pietro Vertova, 2011. "Prison Conditions and Recidivism," American Law and Economics Review, American Law and Economics Association, vol. 13(1), pages 103-130.
    3. 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.
    4. Jens Ludwig & Douglas L. Miller, 2007. "Does Head Start Improve Children's Life Chances? Evidence from a Regression Discontinuity Design," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 122(1), pages 159-208.
    5. 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.
    6. David S. Lee & Justin McCrary, 2009. "The Deterrence Effect of Prison: Dynamic Theory and Evidence," Working Papers 1171, Princeton University, Department of Economics, Industrial Relations Section..
    7. Guido Imbens & Karthik Kalyanaraman, 2012. "Optimal Bandwidth Choice for the Regression Discontinuity Estimator," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 79(3), pages 933-959.
    8. McCrary, Justin & Lee, David S., 2009. "The Deterrence Effect of Prison: Dynamic Theory and Evidence," Berkeley Olin Program in Law & Economics, Working Paper Series qt2gh1r30h, Berkeley Olin Program in Law & Economics.
    9. David S. Lee & Justin McCrary, 2009. "The Deterrence Effect of Prison: Dynamic Theory and Evidence," Working Papers 1168, Princeton University, Department of Economics, Center for Economic Policy Studies..
    10. David S. Lee & Justin McCrary, 2009. "The Deterrence Effect of Prison: Dynamic Theory and Evidence," Working Papers 1168, Princeton University, Department of Economics, Center for Economic Policy Studies..
    11. Andrew Gelman & Guido Imbens, 2019. "Why High-Order Polynomials Should Not Be Used in Regression Discontinuity Designs," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 37(3), pages 447-456, July.
    12. Unknown, 2005. "Forward," 2005 Conference: Slovenia in the EU - Challenges for Agriculture, Food Science and Rural Affairs, November 10-11, 2005, Moravske Toplice, Slovenia 183804, Slovenian Association of Agricultural Economists (DAES).
    13. Francesco Drago & Roberto Galbiati, 2014. "Deterrent Effect of Imprisonment," SciencePo Working papers Main hal-03259811, HAL.
    14. repec:pri:cepsud:189lee is not listed on IDEAS
    15. McCrary, Justin, 2008. "Manipulation of the running variable in the regression discontinuity design: A density test," Journal of Econometrics, Elsevier, vol. 142(2), pages 698-714, February.
    16. David S. Lee & Justin McCrary, 2009. "The Deterrence Effect of Prison: Dynamic Theory and Evidence," Working Papers 1171, Princeton University, Department of Economics, Industrial Relations Section..
    17. 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.
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    Cited by:

    1. Steeve Marchand & Guy Lacroix & William Arbour, 2023. "Prison rehabilitation programs and recidivism: evidence from variations in availability," Melbourne Institute Working Paper Series wp2023n07, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    2. William Arbour & Guy Lacroix & Steeve Marchand, 2021. "Prison Rehabilitation Programs: Efficiency and Targeting," Working Papers tecipa-684, University of Toronto, Department of Economics.

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    More about this item

    Keywords

    young offenders; recidivism; custodial sentence; crime; deterrence effects.;
    All these keywords.

    JEL classification:

    • I30 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General
    • I31 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General Welfare, Well-Being

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