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Harsh or Human? Detention Conditions and Recidivism

Author

Listed:
  • Giovanni Mastrobuoni

    (Collegio Carlo Alberto Torino and University of Essex)

  • Daniele Terlizzese

    (EIEF and Bank of Italy)

Abstract

The question of how prison conditions affect recidivism is very important.In designing a prison system, one would want to know the answer. There are two prevailing prison regimes, harsh and humane. We estimate the effect on recidivism of replacing time served in a harsh, closed-cell prison with time served in a humane, open-cell one, mimicking an experiment where the time spent in the open-cell prison as opposed to the closed-cell one is randomly assigned. We deal with the endogenous assignment of inmates to different prison regimes using variation that is driven by nearby prisons’ overcrowding. Switching regimes for a year, which represent 60 percent of the average sentence, reduces recidivism by around 6 percentage points, or 15 percent, which is a large effect compared to most other interventions aimed at reducing recidivism. The effects are largest for inmates with very low levels of education and are weak for hardened criminals. More than a single mechanism underlies these effects.

Suggested Citation

  • Giovanni Mastrobuoni & Daniele Terlizzese, 2014. "Harsh or Human? Detention Conditions and Recidivism," EIEF Working Papers Series 1413, Einaudi Institute for Economics and Finance (EIEF), revised May 2018.
  • Handle: RePEc:eie:wpaper:1413
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    References listed on IDEAS

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    Cited by:

    1. Lucia Dalla Pellegrina & Margherita Saraceno, 2020. "Does the “Open- Cell Regime” foster Inmates’ Legal Capability? Evidence from two Italian Prisons," Working Papers 433, University of Milano-Bicocca, Department of Economics, revised Feb 2020.
    2. Monnery, Benjamin & Wolff, François-Charles & Henneguelle, Anaïs, 2020. "Prison, semi-liberty and recidivism: Bounding causal effects in a survival model," International Review of Law and Economics, Elsevier, vol. 61(C).
    3. Entorf, Horst & Sattarova, Liliya, 2016. "The Analysis of Prison-Prisoner Data Using Cluster-Sample Econometrics: Prison Conditions and Prisoners' Assessments of the Future," IZA Discussion Papers 10209, Institute of Labor Economics (IZA).

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