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Journal ArticleDOI

Assessing the impact of imprisonment on recidivism

TLDR
In this article, the effect of imprisonment on recidivism is examined within one-, two-, and three-year follow-up periods using Logistic Regression, Precision Matching, and Propensity Score Matching.
Abstract
There is debate about the extent to which imprisonment deters reoffending. Further, while there is a large literature on the effects of imprisonment, methodologically sound and rigorous studies are the exception due to problematic sample characteristics and study designs. This paper assesses the effect of imprisonment on reoffending relative to a prison diversion program, Community Control, for over 79,000 felons sentenced to state prison and 65,000 offenders sentenced to Community Control between 1994 and 2002 in Florida. The effect of imprisonment on recidivism is examined within one-, two-, and three-year follow-up periods using Logistic Regression, Precision Matching, and Propensity Score Matching. Findings indicate that imprisonment exerts a criminogenic effect and that this substantive conclusion holds across all three methods. The main contribution of this study is that various methods yield results that are at least in a similar direction and support overall conclusions of prior literature that imprisonment has a criminogenic effect on reoffending compared to non-incarcerative sanctions. Limitations and directions for future research are noted.

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Post-Release Recidivism and Employment among Different Types of Released Offenders: A 5-Year Follow-Up Study in the United States

TL;DR: Guerino et al. as mentioned in this paper conducted a 5-year follow-up study of post-release employment and recidivism among 6,561 released offenders and examined the interrelationship of recidivity and employment among different types of offenders (i.e., violent, non-violent, sex, and drug offenders) before, during, and after the recent economic recession of 2008.
Journal ArticleDOI

Incarceration Heterogeneity and Its Implications for Assessing the Effectiveness of Imprisonment on Recidivism

TL;DR: The authors report mixed evidence that incarceration reduces recidivism in the US, and the effects of mass incarceration have been investigated in a wide range of domains, including criminological theory and research.
Journal ArticleDOI

The Effect of Incarceration on Re-Offending: Evidence from a Natural Experiment in Pennsylvania

TL;DR: In this paper, the authors used a sample of convicted offenders from Pennsylvania to estimate the effect of incarceration on post-release criminality, using a feature of the criminal justice system in Pennsylvania, the county-level randomization of cases to judges.
Journal ArticleDOI

Digital degradation: Stigma management in the internet age:

TL;DR: The concept of stigma and labeling has been central to the sociology of punishment since at least the writings of Durkheim and Mead as discussed by the authors, and it has been used in a variety of contexts.
Journal ArticleDOI

Assessing the Effectiveness of Correctional Sanctions

TL;DR: In this article, the relative impacts of four main types of sanctions (probability, intensive probation, jail, and prison) on recidivism were examined and the results suggest that less severe sanctions are more likely to reduce recidivitis.
References
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Book

Applied Logistic Regression

TL;DR: Hosmer and Lemeshow as discussed by the authors provide an accessible introduction to the logistic regression model while incorporating advances of the last decade, including a variety of software packages for the analysis of data sets.
Journal ArticleDOI

The central role of the propensity score in observational studies for causal effects

Paul R. Rosenbaum, +1 more
- 01 Apr 1983 - 
TL;DR: The authors discusses the central role of propensity scores and balancing scores in the analysis of observational studies and shows that adjustment for the scalar propensity score is sufficient to remove bias due to all observed covariates.
Journal ArticleDOI

Estimation of average treatment effects based on propensity scores

TL;DR: The authors give a short overview of some propensity score matching estimators suggested in the evaluation literature, and provide a set of Stata programs, which they illustrate using the Naïve Bayes algorithm.
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