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Can recidivism be prevented from behind bars? Evidence from a behavioral program

William Arbour ()
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William Arbour: University of Toronto

No 2021.07, Working Papers from International Network for Economic Research - INFER

Abstract: Incarcerated offenders are offered a wide range of programs to encourage their chances of successful reintegration into society. Little is known, however, about the degree to which such programs improve prisoners’ reentry. In this paper, I study the effects of a cognitive-behavioral program implemented in Quebec, Canada, with a rich micro-level dataset. To manage the econometric issue of inmates’ self-selection into the program, I exploit inmates’ random assignment to probation officers who exhibit varying propensities to recommend the rehabilitation measure. I find large, negative, and significant effects of the program on recidivism, as measured by an inmate’s probability of serving a subsequent sentence: within one year following release, the program reduces recidivism by up to 18 percentage points. Moreover, the program is shown to decrease the number of future offenses. Further analyses indicate that the most plausible mechanism can be attributed to the program’s success in altering offenders’ preferences towards crime.

Keywords: program; incarceration; recidivism; cognitive-behavioral; judges fixed effects (search for similar items in EconPapers)
JEL-codes: A1 (search for similar items in EconPapers)
Pages: 52 pages
Date: 2021
New Economics Papers: this item is included in nep-law and nep-ure
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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