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.

     

Crime,Employment and Social Welfare: An Individual-Level Study on Disadvantaged Males

Objectives

We seek evidence for economic and social mechanisms that aim to explain the relationship between employment and crime. We use the distinctive features of social welfare for identification.

Methods

We consider a sample of disadvantaged males from The Netherlands who are observed between ages 18 and 32 on a monthly time scale. We simultaneously model the offending, employment and social welfare variables using a dynamic discrete choice model, where we allow for state dependence, reciprocal effects and time-varying unobserved heterogeneity.

Results

We find significant negative bi-directional structural effects between employment and property crime. Robustness checks show that only regular employment is able to significantly reduce the offending probability. Further, a significant uni-directional effect is found for the public assistance category of social welfare on property offending.

Conclusion

The results highlight the importance of economic incentives for explaining the relationship between employment and crime for disadvantaged individuals. For these individuals the crime reducing effects from the public assistance category of social welfare are statistically equivalent to those from employment, which suggests the importance of financial gains. Further, the results suggest that stigmatizing effects from offending severely reduce future employment probabilities.

     

What Drives the Relationship Between Early Criminal Involvement and School Dropout?

Objective

We examine the relationship between early criminal involvement and school dropout, and analyze which factors underlie this relationship, making use of administrative data from the Netherlands.

Methods

We start by determining the unconditional correlation between early criminal involvement and school dropout, using a basic ordinary least squares model. As this association is likely to be driven by different factors, we proceed by including an extensive set of observable family and individual characteristics into the estimation model. We further proceed to models that account for the influence of unobservable heterogeneity by estimating school, class, sibling and twin fixed effects.

Results

Criminal involvement is associated with an 11 percentage point higher probability of school dropout. The magnitude of this relationship decreases gradually when we account for larger shares of observed and unobserved heterogeneity. The coefficient in the same-gender twin fixed effects model indicates a 3 percentage point higher probability of school dropout, which is statistically significant at a 10 % level. We also find that the association between criminal involvement and school dropout is stronger if juveniles are involved in severe criminal activities.

Conclusions

We conclude that the observable and unobservable factors for which we account explain around 73 % of the unconditional correlation between criminal involvement and school dropout. The remaining variation likely reflects individual-specific characteristics that are different between same-gender twins. A true treatment effect, if existing, is likely to be relatively small. At the same time, serious criminal behavior appears to causally affect school dropout.

     

Acquisitive Crime and Inflation in the United States: 1960–2012

Objectives

Inflation is conspicuous by its absence from recent research on crime and the economy. We argue that price inflation increases the rate of crimes committed for monetary gain by fueling demand for cheap stolen goods.

Methods

The study includes inflation along with indicators of unemployment, GDP, income, consumer sentiment, and controls in error correction models of acquisitive crime covering the period from 1960 to 2012. Both short- and long-run effects of the predictors are estimated.

Results

Among the economic indicators, only inflation has consistent and robust short- and long-run effects on year-over-year change in the offense types under consideration. Low inflation helps to explain why acquisitive crime did not increase during the 2008–2009 recession. Imprisonment rates also have robust long-run effects on change in acquisitive crime rates.

Conclusions

Incorporating inflation into studies of crime and the economy can help to reduce the theoretical and empirical uncertainty that has long characterized this important research area in criminology.

     

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.

     

Examining the Relationship Between the Structural Characteristics of Place and Crime by Imputing Census Block Data in Street Segments: Is the Pain Worth the Gain?

Objective

The current study proposes unique methods for apportioning existing census data in blocks to street segments and examines the effects of structural characteristics of street segments on crime. Also, this study tests if the effects of structural characteristics of street segments are similar with or distinct from those of blocks.

Methods

This study compiled a unique dataset in which block-level structural characteristics are apportioned to street segments utilizing the 2010 U.S. Census data of the cities of Anaheim, Santa Ana, and Huntington Beach in Orange County, California. Negative binomial regression models predicting crime that include measures of social disorganization and criminal opportunities in street segments and blocks were estimated.

Results

The results show that whereas some of the coefficients tested at the street segment level are similar to those aggregated to blocks, a few were quite different (most notably, racial/ethnic heterogeneity). Additional analyses confirm that the imputation methods are generally valid compared to data actually collected at the street segment level.

Conclusions

The results from the street segment models suggest that the structural characteristics from social disorganization and criminal opportunities theories at street segments may operate as crucial settings for crime. Also the results indicate that structural characteristics have generally similar effects on crime in street segments and blocks, yet have some distinct effects at the street segment level that may not be observable when looking at the block level. Such differences underscore the necessity of serious consideration of the issues of level of aggregation and unit of analysis when examining the structural characteristics-crime nexus.

     

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.

     

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.

     

Court Sentencing Patterns for Environmental Crimes: Is There a “Green” Gap in Punishment?

Objectives

This study examines sentencing patterns for environmental crimes and tests the assumption that “green” offenders receive more lenient treatment from criminal courts than non-environmental offenders.

Methods

We present two sets of analyses. First, we present an empirical portrait of environmental felony offenses convicted in a single state (Florida) over a fifteen-year period and the resulting criminal sanctions. Second, we use a precision matching analysis to assess whether environmental offenders receive more lenient treatment when compared to non-environmental offenders with the same characteristics and offense severity scores.

Results

Findings indicate that an overall small percentage of felony convictions in state courts stem from environmental crimes. We also find that punishments for environmental crimes are more lenient than sanctions assigned to comparable non-environmental offenses when the environmental crime is ecological, but that punishments are sometimes harsher when the environmental crime involves animals.

Conclusions

The findings provide general support for the argument that courts and other formal institutions of social control treat environmental crimes more leniently than non-environmental crimes. This paper also raises important questions about citizen and state actors’ perceptions of crimes against the environment and, more generally, about the ways in which theories of court sentencing behaviors apply to environmental crime sanctioning decisions.

     

The effects of psychiatric and “biological” labels on lay sentencing and punishment decisions

Objectives

This research, using focal concerns perspective on sentencing, examines how and why psychiatric labels, and having diagnoses biologically “labeled,” affect sentencing beliefs. Dimensions of public stigma toward psychiatric illnesses are hypothesized to mediate sentencing views.

Methods

This is a 2?×?2 partially-crossed, between-subjects multifactorial experiment with a lay sample (n=?1213), presenting mediation analyses.

Results

Four psychiatric labels (Attention Deficit Hyperactivity Disorder, behavioral-variant Frontotemporal Dementia, High Functioning Autism, Borderline Intellectual Disability) led to significant beneficial effects on sentencing (less prison/rehabilitation support) as mediated by decreased stigmatization regarding lack of treatability, social acceptance, and personal responsibility. One biological “label” (Pedophilic Disorder) was mediated by decreased stigmatization (dangerousness), resulting in less prison support.

Conclusions

Data support effects of psychiatric labeling on sentencing under focal concerns. As no psychiatric labels resulted in increased discriminatory sentencing and, instead, led to decreased discriminatory sentencing behavior, psychiatric labeling may reduce punitiveness and bolster non-punitive sentencing beliefs. Biological labeling, aside from Pedophilic Disorder, may not affect sentencing.

     

Working with Misspecified Regression Models

Objectives

Conventional statistical modeling in criminology assumes proper model specification. Very strong and unrebutted criticisms have existed for decades. Some respond that although the criticisms are correct, there is for observational data no alternative. In this paper, we provide an alternative.

Methods

We draw on work in econometrics and statistics from several decades ago, updated with the most recent thinking to provide a way to properly work with misspecified models.

Results

We show how asymptotically, unbiased regression estimates can be obtained along with valid standard errors. Conventional statistical inference can follow.

Conclusions

If one is prepared to work with explicit approximations of a “true” model, defensible analyses can be obtained. The alternative is working with models about which all of the usual criticisms hold.

     

Neighborhood Disadvantage and Neuropsychological Functioning as Part Mediators of the Race–Antisocial Relationship: A Serial Mediation Model

Objectives

We test a serial multiple mediation model in which the relationship between ethnicity and antisocial behavior is sequentially mediated by disadvantaged neighborhoods and impaired neuropsychological functioning.

Methods

Parental and self-report measures of antisocial behavior were assessed in a community sample of 341 adolescent males and females. Neighborhood disadvantage was assessed from census data. Neuropsychological functioning was evaluated using a computerized battery. Separate serial multiple mediation models were tested using non-executive functioning and executive functioning.

Results

The serial mediation model for executive functioning was supported, with the pathway from race to antisocial behavior through neighborhood disadvantage and executive functioning in serial accounting for 10.8% of the total effect of race on antisocial behavior.

Conclusions

Findings support social neurocriminology theory by integrating neighborhood disadvantage and executive functioning as sequential mediators of the race–antisocial relationship. To our knowledge, these are the first findings to explain the race–antisocial relationship in terms of connected social and neuropsychological processes. While this pathway is significant, the effect is still relatively small and thus should be understood as one of many mechanisms through which race may affect antisocial behavior. From a translational science standpoint, the identification of neurocognitive mechanisms by which neighborhood disadvantage predisposes to antisocial behavior suggests the potential benefits of cognitive enhancement techniques to remediate the negative effects of adverse neighborhoods on brain functioning in at-risk minority groups.

     

The “care package,” prison domestic violence programs and recidivism: a quasi-experimental study

Objectives

Although there are many evaluations of domestic violence rehabilitation programs, it is still unclear “what works” in this field, especially when it comes to programs within prison walls. Today, most studies indicate that domestic violence programs based on cognitive behavioral treatment, or psycho-educational models show small positive results. Yet, there is still insufficient empirical literature providing adequate evidence for the impact of integrative treatment, where different methods and approaches toward domestic violence prisoners are employed within the same rehabilitation-program framework while incarcerated. Our study examined the effects of an integrative domestic violence program with a therapeutic “package” implemented in Israel with the goal of reducing recidivism rates among prisoners in general, and especially with regard to violent offenses.

Methods

Using propensity score matching methods, we compared treated offenders to a matched sample drawn from all convicted prisoners who were released from prison between 2004 and 2012.

Results

The findings indicate that the percentages of reincarceration and rearrests of inmates, who participated in integrative domestic violence program, were significantly lower during a period of up to 4 years after release.

Conclusions

Our conclusion is that the integrative effect of different treatments along with a supportive prison climate increased the success of inmates who participated in the domestic violence program.

     

The Impact of Private Precautions on Home Burglary and Robbery in Brazil

Objectives

This study evaluates the effects of precaution technologies (i.e., window bars, extra locks, alarms and electric fences, CCTV, private security, dogs and combinations of these tools) on household burglary and robbery in Brazil.

Methods

Using a sample of 121,042 unique households from the Brazilian National Household Sample Survey for 2009, this study estimates a Recursive Bivariate Probit to obtain the average treatment effect of these precaution technologies in the likelihood of home burglary and robbery victimization.

Results

This study demonstrates that technology does not reduce home burglaries, but certain combinations of technologies may reduce home robberies. The combination of electric fences and alarms with private security reduces the likelihood of home robbery by 9.5 %, and when combined with a dog, these technologies reduce the likelihood of home robbery by 86 %.

Conclusions

No precaution technology is able to prevent crimes when employed independently. Occupancy combined with a set of technologies can reduce the expected victimization in crimes against property.

     

Measuring Disorder: Observer Bias in Systematic Social Observations at Streets and Neighborhoods

Objectives

The present study focuses on Systematic Social Observation (SSO) as a method to investigate physical and social disorder at different units of analysis. The study contributes to the aggregation bias debate and to the ‘social science of ecological assessment’ in two ways: first, by presenting a new model that directly controls for observer bias in ecological constructs and second, by attempting to identify systematic sources of bias in SSO that affect the valid and reliable measurement of physical and social disorder at both street segments and neighborhoods.

Methods

Data on physical disorder (e.g., litter, cigarette butts) and social disorder (e.g., loitering adults) from 1422 street segments in 253 different neighborhoods in a conurbation of the greater The Hague area (the Netherlands) are analyzed using cross-classified multilevel models.

Results

Neighborhood differences in disorder are overestimated when scholars fail to recognize the cross-classified data structure of an SSO study that is due to allocation of street segments to observers and neighborhoods. Not correcting for observer bias and observational conditions underestimates the disorder–crime association at street segment/grid cell level, but overestimates this association at the neighborhood level.

Conclusion

Findings indicate that SSO can be used for measuring disorder at both street segment level and neighborhood level. Future studies should pay attention to observer bias prior to their data collection by selecting a minimum number of observers, offering extensive training, and collecting information on the urban background of the observers.

     

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.

     

The continued importance of measuring potentially harmful impacts of crime prevention programs: the academy of experimental criminology 2014 Joan McCord lecture

Objective

Joan McCord was a very influential criminologist and strong advocate for measuring potentially harmful effects in well-meaning crime prevention programs. This paper demonstrates the continued importance of measuring adverse program effects by reviewing the available research evidence on classic and contemporary gang streetworker programs.

Methods

This paper draws upon the evaluation findings of existing gang streetworker evaluations and presents the unpublished results of a rigorous quasi-experimental evaluation of a contemporary gang streetworker program that directly measured whether the intervention impacted the violent gun behaviors of treated gangs relative to untreated gangs.

Results

Evaluations of classic pre-1970s gang streetworker programs generally found that these interventions increased gang delinquency by reinforcing group identity and enhancing gang cohesion. Evaluations of contemporary gang streetworker programs are mixed, with several studies documenting concerning increases in gang violence. An unpublished evaluation found that the streetworker program was well-implemented and executed. However, the intervention was associated with increased shootings by and against treatment gangs relative to control gangs.

Conclusion

These findings suggest that contemporary gang streetworker programs are at high risk of generating unintended adverse outcomes for treated gang members relative to their untreated counterparts. Existing and planned programs should be monitored with a high degree of vigilance and evaluated with controlled evaluation designs.

     

A meta-analysis update on the effectiveness of early self-control improvement programs to improve self-control and reduce delinquency

Objective

To update Piquero et al.’s (Justice Quarterly 27:803–834, 2010) meta-analysis on early self-control improvement programs.

Methods

Screening of eligible studies was carried out for the period between January 2010 and September 2015. An additional seven studies were identified, which were added to the original database of 34 studies, totaling an overall sample of 41 eligible studies. A random effects model was used to obtain an overall mean effect size estimate. Additional analyses were performed to assess publication bias and moderation.

Results

Overall average, positive, and significant effect sizes were observed for improving self-control (0.32) and reducing delinquency (0.27). There was evidence of publication bias for the self-control improvement outcomes, as well as some evidence of moderation for both self-control improvement and delinquency outcomes.

Conclusions

Early self-control improvement programs are an effective evidence-based strategy for improving self-control and reducing delinquency.

     

Educational Outcomes After Serving with Electronic Monitoring: Results from a Natural Experiment

Objectives

The paper explores the effects of electronic monitoring (EM) on young offenders’ educational outcomes and contributes to the evaluation of EM as a non-custodial sanction with a new outcome measure.

Methods

The study is based on a natural experiment exploiting a reform in Denmark in 2006 introducing electronic monitoring to all offenders under the age of 25 with a maximum prison sentence of 3 months. Information on program participation is used to estimate instrument variable models in order to assess the causal effects of EM on young offenders’ educational outcomes. The empirical analyses are based on a comprehensive longitudinal dataset (n = 1013) constructed from multiple official administrative registers and including a high number of covariates.

Results

The EM-program increases the completion rates of upper secondary education by 18 % points among program participants 3 years post-release. The EM-program includes house arrest under electronic surveillance, labor market or education participation, unannounced drug and alcohol tests and a crime preventive program. It is not possible to separate the treatment effects of the different program elements in the empirical analyses.

     

The Scary World of Online News? Internet News Exposure and Public Attitudes Toward Crime and Justice

Objectives

A substantial body of literature indicates that certain forms of media consumption may increase anxiety about crime and support for social controls. However, few studies have examined whether Internet news consumption is positively associated with such attitudes. The void is significant given the public’s increasing use of online news sources. This study addresses this research gap.

Methods

We draw on data from four national surveys conducted between 2007 and 2013, which collectively include interviews with more than 13,000 Americans. Using OLS and logistic regression, we assess the relationships between exposure to traditional and online media and perceptions of victimization risk, support for punitive crime policies, and views about police powers.

Results

Consistent with prior work, we find positive relationships between exposure to traditional forms of media—television news and crime programming—and anxiety about victimization and support for harsh crime policies. In contrast, Internet news exposure is generally not associated with anxieties about crime or support for getting tough on criminals. However, there is evidence of an interactive relationship between political ideology and Internet news exposure.

Conclusions

The results provide little support for cultivation theory in the context of Internet news consumption. We discuss the import of our findings, and suggest new lines of research to explore the correlates and the effects of exposure to online news sources.