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Which prisoner reentry programs work? Replicating and extending analyses of three RCTs

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  • Doleac, Jennifer L.
  • Temple, Chelsea
  • Pritchard, David
  • Roberts, Adam

Abstract

Conducting a randomized controlled trial (RCT) can be an ideal way to avoid omitted variable and selection biases that complicate other research designs. However, the way that the data from an RCT are collected and analyzed can unintentionally reintroduce those biases. In this study we replicate and extend the analyses of data from three RCTs related to prisoner reentry, to more cleanly identify the causal effects of treatment. In two of the three experiments, our conclusions differ substantially from those of the original studies. We discuss best practices for running and analyzing RCTs, and consider our extension results in the context of the prisoner reentry literature.

Suggested Citation

  • Doleac, Jennifer L. & Temple, Chelsea & Pritchard, David & Roberts, Adam, 2020. "Which prisoner reentry programs work? Replicating and extending analyses of three RCTs," International Review of Law and Economics, Elsevier, vol. 62(C).
  • Handle: RePEc:eee:irlaec:v:62:y:2020:i:c:s014481881930290x
    DOI: 10.1016/j.irle.2020.105902
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    References listed on IDEAS

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    1. Kevin T. Schnepel, 2018. "Good Jobs and Recidivism," Economic Journal, Royal Economic Society, vol. 128(608), pages 447-469, February.
    2. Yang, Crystal S., 2017. "Local labor markets and criminal recidivism," Journal of Public Economics, Elsevier, vol. 147(C), pages 16-29.
    3. Kevin T. Schnepel, 2018. "Good Jobs and Recidivism," Economic Journal, Royal Economic Society, vol. 128(608), pages 447-469.
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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. Sarah Tahamont & Zubin Jelveh & Aaron Chalfin & Shi Yan & Benjamin Hansen, 2019. "Administrative Data Linking and Statistical Power Problems in Randomized Experiments," NBER Working Papers 25657, National Bureau of Economic Research, Inc.
    3. William Arbour & Guy Lacroix & Steeve Marchand, 2021. "Prison Rehabilitation Programs: Efficiency and Targeting," Working Papers tecipa-684, University of Toronto, Department of Economics.
    4. Christoph Engel & Sebastian J. Goerg & Christian Traxler, 2022. "Intensified support for juvenile offenders on probation: Evidence from Germany," Journal of Empirical Legal Studies, John Wiley & Sons, vol. 19(2), pages 447-490, June.
    5. Chin, Jason & Zeiler, Kathryn, 2021. "Replicability in Empirical Legal Research," LawArXiv 2b5k4, Center for Open Science.

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