The effect of imprisonment on recommitment: an analysis using exact, coarsened exact, and radius matching with the propensity score

Gaes, Gerald G.; Bales, William D.; Scaggs, Samuel

doi:10.1007/s11292-015-9251-x

Cited by 17 publications

(16 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Research has found that imprisonment leads to higher rates of recidivism when compared with non-incarcerated alternatives (Bales & Piquero, 2012; Gaes, Bales, & Scaggs, 2015; Mears, Cochran, & Bales, 2012) and that postrelease supervision can also help recidivism (Gifford et al, 2014; Peters et al, 2015; Schlager & Robbins, 2008; Vito et al, 2017). Although this research suggests that postrelease supervision reduces re-incarceration, these studies have typically focused on specific types of supervision programs (Andersen & Wildeman, 2015; Gifford et al, 2014; Peters et al, 2015; Vito et al, 2017).…”

Section: Literature Reviewmentioning

confidence: 99%

The Overall and Gendered Effects of Postrelease Supervision on Recidivism: A Propensity Score Analysis

Miller

Jones

Schleifer

2019

Criminal Justice and Behavior

View full text Add to dashboard Cite

Although research recognizes gender differences in offending and interactions with the criminal justice system, few studies have explored the role of gender in the relationship between postrelease supervision and recidivism. Building on feminist criminological research, this study uses a feminist pathways theoretical framework to investigate the overall and gendered effects of postrelease supervision on multiple measures of recidivism. Using a large sample of offenders released from prisons in Florida ( N = 141,338) and propensity score matching techniques, this study uncovers that postrelease supervision is associated with a very small (4% to 4.5%) reduction in recidivism. Moreover, the effect sizes from the analyses also indicate that postrelease supervision plays a greater role in reducing recidivism among men, but the effects for women are much smaller. Based on this study’s findings, policymakers should consider the importance of gender in designing appropriate programming in prison and developing postrelease techniques in reducing recidivism.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

The Overall and Gendered Effects of Postrelease Supervision on Recidivism: A Propensity Score Analysis

Miller

Jones

Schleifer

2019

Criminal Justice and Behavior

View full text Add to dashboard Cite

show abstract

“…First, we employed EM, as well as CEM, and replicated all of the PSM analyses of first-time felons and second-time felons, respectively. EM has been argued by some scholars to produce more accurate estimates of intervention impact (Bales and Piquero 2012; Gaes et al 2016; Savolainen et al 2013). It does not overcome potential problems that arise from unobserved confounding.…”

Section: Resultsmentioning

confidence: 99%

“…Accordingly, we rely on matching methodologies to estimate the effects of sanctions (Apel and Sweeten 2010b; Guo and Fraser 2010). 5 We rely on measures that Nagin et al (2009) have recommended for matching analyses (see also Gaes et al 2016). The large size of the sample allows us to utilize stringent matching criteria and the sentencing guidelines dimensions, which are unique to Florida and include detailed measures of risk and prior record, provide a rigorous set of matching covariates.…”

Section: Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Progressively Tougher Sanctioning and Recidivism

Mears

Cochran

2017

Journal of Research in Crime and Delinquency

View full text Add to dashboard Cite

Objectives: The study tests two related hypotheses about recidivist sentencing premiums and the progressive sanctioning logic on which they rest: (1) among first-time felons, punitive sanctions will more effectively reduce recidivism than will less severe sanctions and (2) among second-time felons, progressively tougher sanctions will more effectively reduce recidivism than will progressions to comparable or less severe sanctions. Method: We use data on first-time and second-time felons and propensity score matching analyses to test these two hypotheses. Results: Although tougher punishment, and increasingly tougher punishment among second-time offenders, may sometimes reduce recidivism, less severe punishment appears on average to be more effective. Conclusions: The results raise questions about the effects of both tougher, and progressively tougher, types of sanctions in efforts to reduce recidivism.

show abstract

“…The purpose of using different strategies was to mitigate model dependence issues that plague extant research (King & Nielsen, 2016). The primary issue here is that estimated treatment effects may be contingent upon the matching strategy (Bales & Piquero, 2012;Gaes et al, 2016), and this approach allows consideration of the sensitivity of the results to different means of counterfactual generation.…”

Section: [Insert Table 1 About Here]mentioning

confidence: 99%

Does GPS supervision of intimate partner violence defendants reduce pretrial misconduct? Evidence from a quasi-experimental study

2017

View full text Add to dashboard Cite

Objectives: This research examines the effect GPS supervision has on pretrial misconduct for defendants facing intimate partner violence charges. Methods: Drawing on data from one pretrial services division, a retrospective quasi-experimental design was constructed to examine failure to appear to court, failure to appear to meetings with pretrial services, and rearrest outcomes between defendants ordered to pretrial GPS supervision and a comparison group of defendants ordered to pretrial supervision without the use of monitoring technology. Cox regression models are used to assess differences between quasi-experimental conditions. To enhance internal validity and mitigate model dependence, we utilize and compare results across four counterfactual comparison groups (propensity score matching, Mahalanobis distance matching, inverse probability of treatment weighting, and marginal mean weighting through stratification). Results: Pretrial GPS supervision is no more or less effective than traditional, non-technology based pretrial supervision in reducing the risk of failure to appear to court or the risk of rearrest. GPS supervision does reduce the risk of failing to appear to meetings with pretrial services staff. Conclusions: The results suggest that GPS supervision may hold untapped case management benefits for pretrial probation officers; a pragmatic focus that may be overshadowed by efforts to mitigate the risk of pretrial misconduct. Further, the results contribute to ongoing discussions on bail reform, pretrial practice, and the movement to reduce local jail populations. Although the costsavings are not entirely clear, relatively higher risk defendants can be managed in the community and produce outcomes that are comparable to other defendants. The results also call into question the ability of matching procedures to construct appropriate counterfactuals in an era where risk assessment informs criminal justice decision-making. Weighting techniques outperformed matching strategies.

show abstract

The effect of imprisonment on recommitment: an analysis using exact, coarsened exact, and radius matching with the propensity score

Cited by 17 publications

References 19 publications

The Overall and Gendered Effects of Postrelease Supervision on Recidivism: A Propensity Score Analysis

The Overall and Gendered Effects of Postrelease Supervision on Recidivism: A Propensity Score Analysis

Progressively Tougher Sanctioning and Recidivism

Does GPS supervision of intimate partner violence defendants reduce pretrial misconduct? Evidence from a quasi-experimental study

Contact Info

Product

Resources

About