Harming America: Corporate Crime in a Context of Deregulation

ABSTRACT

Like many Republican presidential candidates before him, Donald J. Trump campaigned on a pro-business, anti-regulation platform, and since his election in November 2016, he has directed his administration to move forward with deregulation in many arenas, including consumer financial protections, environmental controls, and workplace safety among others. Past efforts to roll back regulations governing certain industries, such as the savings and loan and the mortgage industries, have had harmful consequences for the general public or for specific interest groups. In this study, we review what the Trump administration has accomplished with regard to deregulation to date. Then, based on past deregulatory fiascos, we theorize the harmful collateral consequences that may result from this most recent swing of the regulatory-deregulatory pendulum.     

Simple Rhetoric and Complex Punitiveness: Federal Criminal Justice Responses to White-Collar Criminality

Abstract

Though criminological literature shows that the manifestation of punitiveness in the criminal justice system is complex, it rarely differentiates between responses to different kinds of crimes. This constitutes a significant gap in knowledge, as it is widely believed that white-collar crimes are treated leniently. In light of the “heating up” of political rhetoric, the expansion of federal criminal law, and the increased maximum punishments on conviction, the article aims to explore whether prosecutorial and judicial responses to white-collar crimes have become more punitive, employing rarely used datasets from the Bureau of Justice Statistics (BJS) between 1996 and 2014. It is demonstrated that these responses are more complex and less consistently punitive than the rhetoric and policies advanced by politicians. It endeavors to capture the complexity of punitiveness in practice by measuring numerous variables and multiple points in the criminal justice process, studying punitiveness from multiple angles, using prosecution and sentencing data.     

Serial Domestic Abuse in Wales: An Exploratory Study Into its Definition,Prevalence, Correlates,and Management

Analysis of information held by police, probation, and third-sector organizations in Wales about 100 domestic abuse perpetrators, along with 16 practitioner interviews, provides the empirical context for a discussion of the problem of “serial domestic abuse.” Despite increased concern over the harm caused by serial abusers, different definitions and recording systems prevent a reliable estimation of the problem. This exploratory study suggests that the offending profiles of serial abusers are heterogeneous, and recommends that approaches aimed at reducing the harm caused by the “power few” domestic abusers incorporate information about serial alongside repeat and high-risk offending.     

White collars and labour history: the contractual regime in Italy from the Liberal to the Fascist era, 1919–1945

This article aims to re-examine the history of non-manual labour, beginning with an analysis of the evolution of general norms governing the contracts of private sector workers in Italy, from the post-First World War period up until the creation of the fascist corporate system in the 1930s. The starting point is the 1919 law that defined the specific characteristics of white-collar workers, expressed as a bond of trust and delegation on the part of employers, from whom legally established and binding guarantees were issued. These guarantees included the offer of permanent employment and the right to compensation should said employment be terminated. This law was reformed during the fascist era, but continued to influence the collective labour agreements stipulated by unions under the regime, contributing to the sustained social status of white-collar workers, particularly in comparison to manual labourers. This article will highlight the difficulties in applying these standards, and the legal and union disputes they generated, exploring an area rarely discussed by historians, while also, as a case study, scrutinizing the more advanced situation of employees in the banking sector – a sector which, from a regulatory and contractual point of view, represented the white-collar élite, as it would continue to do for a long time after the Second World War.     

When Public Protection Becomes Punishment? The UK Use of Civil Measures to Contain the Sex Offender

In keeping with many countries the UK has moved the problem of sexual offending up the political agenda. On the criminal justice side sentences have been increased and supervision periods extended. On the civil side a raft of new measures have been put in place to regulate the behaviour of sex offenders in the interest of community safety and child protection; this paper examines these measures and, in particular takes the sex offender ‘register’ as a case study to show how political imperatives have been brought to bear with little reference to the research or professional views of practitioners in this area. It is contended that under these political pressures, what starts life as a preventive, regulatory measure can easily become a more punitive measure in its own right; as such it may be liable to challenge by those subject to it for failing to fulfil its primary purpose and for straying across a line between the civil and criminal aspects of intervention.     

Assessing Stability and Change in Criminal Offending: A Comparison of Random Effects, Semiparametric, and Fixed Effects Modeling Strategies

An important theoretical problem for criminologists is an explanation forthe robust positive correlation between prior and future criminaloffending. Nagin and Paternoster (1991) have suggested that the correlationcould be due to time-stable population differences in the underlyingproneness to commit crimes (population heterogeneity) and/or thecriminogenic effect that crime has on social bonds, conventionalattachments, and the like (state dependence). Because of data andmeasurement limitations, the disentangling of population heterogeneityand state dependence requires that researchers control for unmeasuredpersistent heterogeneity. Frequently, random effects probit models havebeen employed, which, while user-friendly, make a strong parametricassumption that the unobserved heterogeneity in the population follows anormal distribution. Although semiparametric alternatives to the randomeffects probit model have recently appeared in the literature to avoid thisproblem, in this paper we return to reconsider the fully parametric model. Viasimulation evidence, we first show that the random effects probit modelproduces biased estimates as the departure of heterogeneity from normalitybecomes more substantial. Using the 1958 Philadelphia cohort data, we thencompare the results from a random effects probit model with a semiparametricprobit model and a fixed effects logit model that makes no assumptions aboutthe distribution of unobserved heterogeneity. We found that with this dataset all three models converged on the same substantive result—evenafter controlling for unobserved persistent heterogeneity, with models thattreat the unobserved heterogeneity very differently, prior conduct had apronounced effect on subsequent offending. These results are inconsistentwith a model that attributes all of the positive correlation between priorand future offending to differences in criminal propensity. Sinceresearchers will often be completely blind with respect to the tenabilityof the normality assumption, we conclude that different estimationstrategies should be brought to bear on the data.     

Analyzing Multiple-Item Measures of Crime and Deviance I: Item Response Theory Scaling

Multiple-item measures of self-reported offending typically provide the principal outcome measures for individual level research on the causes of crime and deviance. This article directs attention to the substantial problems presented by the task of forming composite scores for these measures, and it presents a possible solution to those problems. We consider scaling by means of the graded response model from item response theory (IRT) as a potential means of overcoming the shortcomings of traditional summative scaling and of obtaining valuable information about the strengths and weaknesses of our measures. We illustrate this strategy through a scale analysis of a fourteen-item, self-report measure of delinquency, using three years of data from the Monitoring the Future study, an annual national survey of high school seniors. The graded response model proves to be consistent with the data, and it provides results that address important substantive questions about self-report measures. The findings are informative about the strengths and weaknesses of alternative strategies for developing self-report instruments, indicating that there is little to be gained by making fine distinctions in the frequency of individual delinquent acts.     

Trends in the management of registered sexual offenders across England and Wales: a geographical approach to the study of sexual offending

Abstract

Social scientists, and geographers in particular, have long been interested in examining spatial patterns of offending in order to generate a “geography” of crime and criminality. This paper examines what value, if any, a geographical approach to the study of sexual offending might offer. Utilising published official data from England and Wales it presents for the first time geographical analyses of the registration, risk assessment and management of Registered Sexual Offenders (RSOs) across 42 Multi-Agency Public Protection Arrangement (MAPPA) areas. In doing so it considers and evaluates the methodological issues pertaining to the use of such data and such a geographical approach. We conclude that geographical interpretations of both the incidence of RSOs and the rates of risk allocations between MAPPA areas provide valuable insights and raise new questions about the way in which RSOs are managed nationally and are thus worthy of further exploration.     

GENERAL ASSESSMENTS AND THRESHOLDS FOR CHRONIC OFFENDING: AN ENRICHED PARADIGM FOR EXPLAINING CRIME

General assessments refer to individuals’ overall judgment of their standing on broad dimensions that have special relevance for the explanation of crime, such as their overall bond to society or their prospects for success. These assessments are partly a function of the independent variables that are commonly considered in contemporary crime theories and quantitative research. But these standard etiological variables are far from fully determinative of general assessments because individuals differ in how they interpret, weigh, and combine their standing along these variables. The social–psychological factors that affect the subjective judgments underlying general assessments have yet to be theorized in any comprehensive, systematic manner. Nevertheless, we hypothesize that the incorporation of general assessments in models of offending will greatly enhance their explanatory power because these assessments are the most proximate, comprehensive, and personally relevant causes of crime. Moreover, we anticipate that once these assessments reach certain threshold levels, such as the view that bonds to society are severed irreparably or success is beyond reach, they result in a nonlinear jump in the frequency, seriousness, and duration of offending (i.e., chronic offending). A consideration of general assessments and their associated thresholds should therefore substantially improve efforts to explain crime.