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Does visitation in prison reduce recidivism?

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  • Yuki Otsu

Abstract

Visitation in prison is associated with a low recidivism rate after release, but the causality is not clear. This paper tries to estimate the effect of visitation experience on the recidivism outcome of state prisoners in Missouri, using an instrumental variable approach. The instrumental variable used for identification is the distance from a prison to an address before incarceration. The results support that visitation has a causal effect on recidivism in the short run. Further analysis shows that employment is an important channel of the visitation effect. However, no discernible effect on housing stability is found.

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  • Yuki Otsu, 2024. "Does visitation in prison reduce recidivism?," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 43(1), pages 126-156, January.
    • Handle: RePEc:wly:jpamgt:v:43:y:2024:i:1:p:126-156
    DOI: 10.1002/pam.22529
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    References listed on IDEAS

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    1. Cochran, Joshua C. & Mears, Daniel P., 2013. "Social isolation and inmate behavior: A conceptual framework for theorizing prison visitation and guiding and assessing research," Journal of Criminal Justice, Elsevier, vol. 41(4), pages 252-261.
    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. Imbens, Guido W & Angrist, Joshua D, 1994. "Identification and Estimation of Local Average Treatment Effects," Econometrica, Econometric Society, vol. 62(2), pages 467-475, March.
    4. Lucia Corno, 2017. "Homelessness and Crime: Do Your Friends Matter?," Economic Journal, Royal Economic Society, vol. 127(602), pages 959-995, June.
    5. 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.
    6. Mitchell, Meghan M. & Spooner, Kallee & Jia, Di & Zhang, Yan, 2016. "The effect of prison visitation on reentry success: A meta-analysis," Journal of Criminal Justice, Elsevier, vol. 47(C), pages 74-83.
    7. Palmer, Caroline & Phillips, David C. & Sullivan, James X., 2019. "Does emergency financial assistance reduce crime?," Journal of Public Economics, Elsevier, vol. 169(C), pages 34-51.
    8. Devah Pager, 2003. "The mark of a criminal record," Natural Field Experiments 00319, The Field Experiments Website.
    9. Logan M Lee, 2019. "Far from Home and All Alone: The Impact of Prison Visitation on Recidivism," American Law and Economics Review, Oxford University Press, vol. 21(2), pages 431-481.
    10. Kevin T. Schnepel, 2018. "Good Jobs and Recidivism," Economic Journal, Royal Economic Society, vol. 128(608), pages 447-469, February.
    11. Martin Eckhoff Andresen, 2018. "Exploring marginal treatment effects: Flexible estimation using Stata," Stata Journal, StataCorp LP, vol. 18(1), pages 118-158, March.
    12. Yang, Crystal S., 2017. "Local labor markets and criminal recidivism," Journal of Public Economics, Elsevier, vol. 147(C), pages 16-29.
    13. Lucia Corno, 2017. "Homelessness and Crime: Do Your Friends Matter?," Economic Journal, Royal Economic Society, vol. 127(602), pages 959-995, June.
    14. Kevin T. Schnepel, 2018. "Good Jobs and Recidivism," Economic Journal, Royal Economic Society, vol. 128(608), pages 447-469.
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