Place and Punishment: The Spatial Context of Mass Incarceration

Objectives

Research on race and urban poverty views incarceration as a new and important aspect of social disadvantage in inner-city neighborhoods. However, in quantitative studies of the spatial distribution of imprisonment across neighborhoods, the pattern outside urban areas has not been examined. This paper offers a unique analysis of disaggregated prison admissions and investigates the spatial concentrations and levels of admissions for the entire state of Massachusetts.

Methods

Spatial regressions estimate census tract-level prison admission rates in relation to racial demographics, social and economic disadvantage, arrest rates, and violent crime; an analysis of outlier neighborhoods examines the surprisingly high admission rates in small cities.

Findings

Regression analysis yields three findings. First, incarceration is highly spatially concentrated: census tracts covering 15% of the state’s population account for half of all prison admissions. Second, across urban and non-urban areas, incarceration is strongly related to concentrated disadvantage and the share of the black population, even after controlling for arrest and crime rates. Third, the analysis shows admission rates in small urban satellite cities and suburbs comprise the highest rates in the sample and far exceed model predictions.

Conclusion

Mass incarceration emerged not just to manage distinctively urban social problems but was characteristic of a broader mode of governance evident in communities often far-removed from deep inner-city poverty. These notably high levels and concentrations in small cities should be accounted for when developing theories of concentrated disadvantage or policies designed to ameliorate the impacts of mass incarceration on communities.

     

Different than the Sum of Its Parts: Examining the Unique Impacts of Immigrant Groups on Neighborhood Crime Rates

Objectives

Examining the immigration-crime nexus across neighborhoods in the Southern California metropolitan region, this study builds on existing literature by unpacking immigration and accounting for the rich diversity that exists between immigrant groups.

Methods

Using data from a variety of sources, we capture this diversity with three different approaches, operationalizing immigrant groups by similar racial/ethnic categories, areas or regions of the world that immigrants emigrate from, and where immigrants co-locate once they settle in the U.S. We also account for the heterogeneity of immigrant populations by constructing measures of immigrant heterogeneity based on each of these classifications. We compare these novel approaches with the standard approach, which combines immigrants together through a single measure of percent foreign born.

Results

The results reveal that considerable insights are gained by distinguishing between diverse groups of immigrants. In particular, we find that all three strategies explained neighborhood crime levels better than the traditional approach.

Conclusion

The findings underscore the necessity of disaggregating immigrant groups when exploring the immigration-crime relationship.

     

The effectiveness of prison for reducing drug offender recidivism: a regression discontinuity analysis

Objectives

An enduring legacy of the 1980s “war on drugs” is the increased use of imprisonment for drug offenders. Advocates anticipated, in part, that prison is more effective than community sanctions in reducing recidivism. Despite the contribution of drug offender incarceration to prison growth nationally, and debates about whether this approach should be curtailed, only limited rigorous research exists that evaluates the effect of imprisonment on drug offender recidivism. To address this gap, this paper uses sentencing and recidivism data from a cohort of individuals convicted of felony drug offenses in Florida to examine the effect of imprisonment—as compared to community sanctions—on recidivism.

Methods

Regression discontinuity analyses are used. These minimize potential selection bias by exogenously assigning cases to conditions based on a rating variable and a cut-off score.

Results

Results indicate that prison has no effect on drug offenders’ rates of reconviction. This finding holds across a range of offender subgroups (racial and ethnic, gender, age, and prior criminal justice system involvement).

Conclusions

Imprisoning individuals convicted of marginally serious drug offenses—that is, those close to a cut-off score for being sent to prison—did not reduce subsequent offending. This finding suggests that curtailing the use of imprisonment for such individuals will not appreciably affect future criminal activity and may have the benefit of reducing correctional system costs.

     

Does Mandatory Diversion to Drug Treatment Eliminate Racial Disparities in the Incarceration of Drug Offenders? An Examination of California’s Proposition 36

Objective

This paper addresses previous shortcomings in the literature on racial disparities in incarceration for drug offenders by taking advantage of a change in sentencing policy in California and a rich administrative dataset that is able to create a sample of comparable White and Black offenders.

Method

We use a nonparametric propensity weighting approach to identify similarly situated White and Black male offenders charged with drug-related offenses. We combine this approach with a difference-in-differences model to estimate the effect that a change in California sentencing law for convicted non-violent drug offenders had on racial disparities in prison and drug treatment dispositions.

Results

We find substantial reductions in the probability of a prison sentence after the policy change, but not differentially for Blacks. Blacks remain more likely to go to prison than similarly situated Whites after the policy, although the policy does lead to more referrals to treatment for Blacks.

Conclusions

This paper shows that even after comparing Blacks and Whites in similarly situated contexts that racial disparities in prison commitments remain after sentencing law changes that mandate diversion to drug treatment. The results suggests that addressing racial gaps in the commitments to state prisons will likely require more than shifting the eligibility of drug convictions for prison, as accumulated criminal histories are the primary driver of prison sentences. This means that expanding diversion options from prison alone will not reduce the racial gap in commitments to prison for drug offenses more than incrementally.

     

Punishing the Wicked: Examining the Correlates of Sentence Severity for Convicted Sex Offenders

Objectives

To examine the correlates of sentence severity for convicted sex offenders under sentencing guidelines, contrasted with individuals convicted of non-sexual, violent offenses.

Methods

Drawing on 7 years of data from the Pennsylvania Commission on Sentencing, we utilize a logit-negative binomial hurdle model to examine the predictors of incarceration and sentence length, and an accompanying Oaxaca–Blinder decomposition of the gap in sentencing outcomes between the groups. We then implement a quantile regression framework to examine variation in effects across the distribution of sentence lengths. All analyses are contrasted with a matched sample of violent offenders to consider the extent to which estimated associations are unique to sex offenders.

Results

The analyses suggest several predictors of sentence severity for sex offenders, and that these predictors vary between the incarceration and sentence length decisions. In comparing effects for sex and matched violent offenders, divergent effects were observed for both case and offender characteristics. An Oaxaca–Blinder decomposition suggests that differences in the coefficient estimates account for less than one-fifth of the gap in average sentencing outcomes between sex and violent offenders. Subsequent quantile regressions indicate that these effects vary considerably over the sentence length distribution in ways that are not captured or obscured by the hurdle models.

Conclusions

The predictors of sentence severity for sex offenders, and points of divergence from violent offenders, are congruent with the notion that judges utilize crime-specific stereotypes in arriving at sentencing decisions. Further, the application of quantile regression following point-based estimation can reveal meaningful patterns in sentencing disparities.

     

Search for the Hidden Punishments: An Alternative Approach to Studying Alternative Sanctions

Objectives

Most existing studies of sentencing focus on the decision of whether or not to incarcerate a convicted individual. However, many cases do not involve incarceration, and there is a considerable amount of freedom to mete out alternative sanctions as part of a sentencing decision. This study addresses this gap in the literature by investigating the patterns of sentences among those individuals not sentenced to prison.

Methods

This study used latent class analysis (LCA) to identify unobserved “classes” based on packages of sentences, which may involve both jail and non-incarceration alternative sanctions imposed on defendants not sentenced to prison. This study also demonstrates the potential use of LCA by (1) comparing and contrasting the results of LCA and the sentence severity scale approach, and (2) investigating how class membership could be explained by legal and extralegal characteristics of the cases.

Results

LCA identified four latent classes among individuals who were not sentenced to prison, two of which could not be differentiated by the severity scale approach. Regression models demonstrated that legal variables were better at explaining the incarceration decision, whereas extralegal variables were better at explaining some of the margins between the classes.

Conclusion

Compared with the incarceration models and severity scales, LCA revealed variations that could not be detected by either of the approaches. LCA also has the potential to be a helpful tool in future analysis of sentencing decisions utilizing large-scale, administrative datasets.

     

Twenty-First Century Punitiveness: Social Sources of Punitive American Views Reconsidered

Objectives

This study considers the social determinants of twenty-first century punitive American views.

Methods

Using General Social Survey data for 2000 and 2014, this research seeks to replicate Unnever and Cullen’s analysis of the determinants of punitive American views in 2000, extend their analysis to consider animus toward the poor as a predictor of punitive views, and consider the social foundations of punitiveness in 2014.

Results

Our analysis replicates Unnever and Cullen’s (Criminology 48: 99–129, 2010) findings for 2000 and identifies previously obscured indirect effects of anti-Black racial stereotypes on punitiveness. In our extension analyses, animus toward the poor was a significant predictor of punitiveness in 2000. For 2014, we find that anti-Black racial resentment, animus toward the poor, and social anxiety significantly predicted both support for the death penalty and the belief that courts are not harsh enough.

Conclusions

The social sources of American punitive views have not shifted fundamentally in the last 15 years. Both racial resentment and animus toward the poor have been and remain powerful predictors of punitive American views in the twenty-first century, controlling for other factors.

     

Examining Systematic Crime Reporting Bias Across Three Immigrant Generations: Prevalence,Trends, and Divergence in Self-Reported and Official Reported Arrests

Objective

Mounting evidence reveals that foreign-born, first generation immigrants have significantly lower levels of criminal involvement compared to their US-born, second and third-plus generation peers. This study investigates whether this finding is influenced by differential crime reporting practices by testing for systematic crime reporting bias across first, second, and third-plus generation immigrants.

Methods

This study draws on data from the Pathways to Desistance Study, a longitudinal investigation of the transition from adolescence to young adulthood among a sample of serious adolescent offenders. Self-reported and official reports of arrest are compared longitudinally across ten waves of data spanning 7 years from adolescence into young adulthood for nearly 1300 adjudicated males and females.

Results

This study reveals a high degree of correspondence between self-reports of arrest and official reports of arrest when compared within groups distinguished by immigrant generation. Longitudinal patterns of divergence, disaggregated by under-reporting and over-reporting, in self- and official-reports of arrest indicated a very high degree of similarity regardless of immigrant generation. We found no evidence of systematic crime reporting bias among foreign-born, first generation immigrants compared to their US-born peers.

Conclusions

First generation immigrants are characterized by lower levels of offending that are not attributable to a differential tendency to under-report their involvement in crime.

     

A quasi-experimental evaluation of the impact of bike-sharing stations on micro-level robbery occurrence

Objectives

To examine if the implementation of bike-sharing stations is linked to robbery occurrence in micro-level street corner units in Cincinnati, OH, USA.

Methods

Propensity score matching was used to select comparison street corner units. The effect of bike-sharing station implementation on robbery occurrence across weekly, biweekly, and monthly observations was estimated using repeated measures multi-level logistic regression models.

Results

Bike-sharing stations did not statistically significantly link to robbery occurrence in immediate or nearby street corner units after implementation.

Conclusions

Numerous explanations consistent with Crime Pattern Theory may explain the null effect of bike-sharing stations on robbery occurrence. Future research should continue to examine how changes in the urban backcloth, such as bike-sharing stations, impact geographic crime patterns.

     

Target Selection Models with Preference Variation Between Offenders

Objectives

This study explores preference variation in location choice strategies of residential burglars. Applying a model of offender target selection that is grounded in assertions of the routine activity approach, rational choice perspective, crime pattern and social disorganization theories, it seeks to address the as yet untested assumption that crime location choice preferences are the same for all offenders.

Methods

Analyzing detected residential burglaries from Brisbane, Australia, we apply a random effects variant of the discrete spatial choice model to estimate preference variation between offenders across six location choice characteristics. Furthermore, in attempting to understand the causes of this variation we estimate how offenders’ spatial target preferences might be affected by where they live and by their age.

Results

Findings of this analysis demonstrate that while in the aggregate the characteristics of location choice are consistent with the findings from previous studies, considerable preference variation is found between offenders.

Conclusions

This research highlights that current understanding of choice outcomes is relatively poor and that existing applications of the discrete spatial choice approach may underestimate preference variation between offenders.

     

Exploring the Effect of Exposure to Short-Term Solitary Confinement Among Violent Prison Inmates

Objectives

This study tracked the behavior of male inmates housed in the general inmate populations of 70 different prison units from a large southern state. Each of the inmates studied engaged in violent misconduct at least once during the first 2 years of incarceration (n = 3,808). The goal of the study was to isolate the effect of exposure to short-term solitary confinement (SC) as a punishment for their initial act of violent behavior on the occurrence and timing of subsequent misconduct.

Methods

This study relied upon archival longitudinal data and employed a multilevel counterfactual research design (propensity score matching) that involved tests for group differences, event history analyses, and trajectory analyses.

Results

The results suggest that exposure to short-term solitary confinement as a punishment for an initial violence does not appear to play a role in increasing or decreasing the probability, timing, or development future misconduct for this particular group on inmates.

Conclusions

Upon validation, these findings call for continued research and perhaps a dialog regarding the utility of solitary confinement policies under certain contexts. This unique study sets the stage for further research to more fully understand how solitary impacts post-exposure behavior.

     

Using Space–Time Analysis to Evaluate Criminal Justice Programs: An Application to Stop-Question-Frisk Practices

Objectives

Effects of place-based criminal justice interventions extend across both space and time, yet methodological approaches for evaluating these programs often do not accommodate the spatiotemporal dimension of the data. This paper presents an example of a bivariate spatiotemporal Ripley’s K-function, which is increasingly employed in the field of epidemiology to analyze spatiotemporal event data. Advantages of this technique over the adapted Knox test are discussed.

Methods

The study relies on x–y coordinates of the exact locations of stop-question-frisk (SQF) and crime incident events in New York City to assess the deterrent effect of SQFs on crime across space at a daily level.

Results

The findings suggest that SQFs produce a modest reduction in crime, which extends over a three-day period. Diffusion of benefits is observed within 300 feet from the location of the SQF, but these effects decay as distance from the SQF increases.

Conclusions

A bivariate spatiotemporal Ripley’s K-function is a promising approach to evaluating place-based crime prevention interventions, and may serve as a useful tool to guide program development and implementation in criminology.

     

A long-term follow-up evaluation of the Minnesota High Risk Revocation Reduction reentry program

Objectives

This study examines the effectiveness of the High Risk Revocation Reduction (HRRR) program, a reentry program designed to reduce recidivism among offenders released from Minnesota state prisons.

Methods

Adult male release violators were randomly assigned to a treatment group that received supplemental case planning and access to community service and programs, or to a control group that received standard case management. Survival analysis was used to examine rearrest, reconviction, reincarceration for a new offense, and supervised release revocation.

Results

The results of Cox regression models showed that participation in HRRR significantly reduced the risk of rearrest but had no effect on the other measures of recidivism.

Conclusion

The results provide limited support for the program, although its effectiveness appeared to decline during the second phase of implementation. HRRR also reduced costs; however, the estimated benefits were not robust across all sensitivity analyses.

     

During,After, or Both? Isolating the Effect of Religious Support on Recidivism During Reentry

Objectives

To examine the independent and interdependent roles of baseline religious support during incarceration and within-individual changes in religious support on recidivism during the prisoner reentry process.

Methods

Using data from the Serious and Violent Offender Reentry Initiative, cross-lagged dynamic panel models are used to examine the respective roles of baseline differences and within-individual changes in religious support on two variety indices encompassing substance use and criminal offending while simultaneously controlling for pre-incarceration levels of substance use and offending.

Results

Findings show that within-individual increases in religious support protect against substance use post-release, while baseline levels of religious support do not significantly influence substance use. Additionally, baseline levels of religious support fail to condition this relationship. Findings assessing criminal offending demonstrate that baseline religious support and within-individual changes in religious support fail to relate to offending independently. However, an interaction term reveals that the combination of the two relates to significantly lower levels of offending post-release.

Conclusions

Findings offer encouragement for those involved in the work of providing religious support to ex-offenders in the community, reaffirming that tailoring support programs to the religious or spiritual ways individuals make meaning in their lives can improve reentry outcomes. Methodologically, failing to distinguish between baseline levels of religious support and post-release changes in religious support fails to capture the complexity of religiosity on the reentry process.

     

The Trajectories of Crime at Places: Understanding the Patterns of Disaggregated Crime Types

Objectives

Investigate the spatial concentrations and the stability of trajectories for disaggregated crime types on street segments and intersections in Vancouver, Canada.

Methods

A longitudinal analysis of 16 years of crime data using street segments and intersections as the units of analysis. We use the k-means non-parametric cluster analysis technique considering eight crime types: assault, burglary, robbery, theft, theft of vehicle, theft from vehicle, other, and total crime.

Results

The overall results for the individual crime types versus overall crime are similar: crime is highly concentrated regardless of crime type, most street segment and intersection trajectories are stable over time with the others decreasing, and most decreasing trajectories are in the same general areas. However, there are notable differences across crime types that need to be considered when attempting to understand spatial pattern changes and implement crime prevention initiatives.

Conclusions

The law of crime concentration at places holds in Vancouver, Canada for disaggregated crime types in the context of spatial concentrations and their stability over time. However, notable differences exist across crime types that should be accounted for when developing theory or policy.

     

Racial Disproportionality in U.S. State Prisons: Accounting for the Effects of Racial and Ethnic Differences in Criminal Involvement,Arrests, Sentencing,and Time Served

Objectives

An important indicator of discrimination in the criminal justice system is the degree to which race differences in arrest account for racial disproportionality in prisons (“accountability”). A recent National Academy of Sciences (NAS) study raised concerns by reporting low and declining estimates of accountability. Our improved measure accounts for unreported Hispanic arrestees. We measure accountability at intermediate stages, including commitments to prison and time served. We also use victim reports to extend accountability from arrest to differential involvement in violent crimes.

Methods

Our methods utilize information on self-reported racial identity of Hispanic prisoners to provide more accurate comparison with the race of arrestees. We also assess accountability for 42 individual states and 4 regions.

Results

Our national estimate of accountability is close to previous estimates and much higher than those in the NAS report. Accountability is high for the serious violent crimes of murder and rape, and low for drug trafficking, drug possession, weapons, and aggravated assault, which involve more discretion in arrest, labeling and charging.

Conclusions

Our more accurate accountability results contradict the NAS report of low and declining accountability. Regional accountability estimates show no consistently stronger or weaker region. We also show a corrected national estimate of the ratio of black-to-white incarceration-rates has dropped from 6.8 in 1990 to 4.7 in 2011, an important correction to concerns of increasing discrimination. Reports of offenders’ race by victims and arrestees’ race are found to be close, supporting use of arrest as an indicator of involvement in violent crimes.

     

Birds of a Feather Fight Together: Status-Enhancing Violence,Social Distance and the Emergence of Homogenous Gangs

Objectives

This study proposes a theoretical framework for understanding two empirical findings from gang research: (1) gangs are generally racially homogenous, even in heterogeneous environments, and (2) gang violence tends to be intra-racial. We draw from the extensive literature on street gangs as well as from research on group formation and status-enhancing behavior to develop a theoretical model of gang formation.

Methods

Using game theory, we model the simultaneous decisions of individuals to commit status-enhancing acts of violence and to seek protection by joining a gang. We then conduct computer simulations to examine the resulting patterns of violence and gang composition.

Results

We demonstrate that as long as some social distance exists between racial groups in a community, gang violence will be intra-racial and gangs will be homogenous. We find that our results are robust to a number of simple variations of the model and allow us to generate several hypotheses about the nature of gang formation and patterns of violence.

Conclusions

When violence is motivated by socially constructed rewards, socially closer targets are likely to yield greater rewards. In such a system, individuals must reduce their likelihood of victimization by entering a social contract of non-violence (i.e. gang membership) with individuals who might view them as status-enhancing targets (i.e. socially close individuals). The result is that gangs are made up of socially close individuals interested in attacking other socially close individuals. Therefore, gangs tend to be racially homogenous and violence is overwhelmingly intra-racial.

     

Violence in Schools: Repeat Victimization,Low Self-Control,and the Mitigating Influence of School Efficacy

Objectives

Examine the distribution of various forms of violent victimization among adolescents in school and the main and interactive effects of low self-control and school efficacy on repeat assault victimization.

Methods

This study used data collected from students and teachers as part of the Rural Substance abuse and Violence Project. We calculated a simple Poisson model of the expected frequencies of adolescents to experience each number of assault, robbery, and weapons victimizations given the total number of each type of victimization reported by the sample. We then tested whether the observed frequencies differed significantly from the expected. Finally, we estimated a series of hierarchical nonlinear models to assess the main and interactive effects of low self-control and school efficacy on repeat assault victimization.

Results

All three forms of violent victimization were non-randomly distributed across students. Low self-control was associated with repeat victimization among assault victims, though this effect was weakened significantly by school efficacy.

Conclusions

Violence in schools is highly concentrated among repeat victims. Efforts to reduce violence in schools should be focused on those who have already been victimized. Schools may be able to limit the effects of low self-control on repeat assault victimization by strengthening school efficacy.

     

Note on a Training Program for Brief Decision Making for Frontline Police Officers

Purpose

The present paper describes the theoretical basis for a brief decision-making training program for frontline police officers as well as an outline of the training program, officers’ evaluation of perceived relevance and perceived learning effects.

Design

A between group design was used in order to test for differences in evaluation between officers at different training levels.

Results

High scores were obtained on all four items related to the evaluation (>84% scored in the highest category). When separating the subjects into groups based on their previous training (regular police response personnel vs. SWAT-type personnel), regular police response personnel obtained higher scores on perceived learning. However, both groups showed high scores on perceived learning. Both groups scored high on their evaluation of perceived relevance of the training program and no difference was found between the two groups.

Practical implications

The brief decision making training program that expands ordinary tactical training was highly appreciated by police officers and was seen as complementary to ordinary training.

     

Retrieving administrative data to assess long-term outcomes: a case study of the 23-year follow-up of the Milwaukee domestic violence experiment

Objectives

To describe how social scientists, criminal justice practitioners, and administrative agencies collected administrative data to follow-up a criminological experiment after two decades. To make recommendations that will guide similar long-term follow-ups.

Methods

A case study approach describes the processes of and sociological benefits to collecting administrative data to assess criminal justice and life-course outcomes.

Results

While maintaining experimental integrity, we developed, executed, and verified processes to retrieve arrest, mortality, and residential data for the experimental subjects, which enabled us to complete the longest ever follow-up of a criminal justice experiment.

Conclusions

When experiments have policy implications, administrative data may be preferable to survey data for assessing primary effects. Successful social science research can be conducted in conjunction with multiple administrative agencies.