The Relationship Between Crime Reporting and Police: Implications for the Use of Uniform Crime Reports

Empirical studies that use reported crime data to evaluate policies for reducing crime will understate the true effectiveness of these policies if crime reporting/recording behavior is also affected by the policies. For instance, when the size of the police force increases, changes in the perceived likelihood that a crime will be solved may lead a higher fraction of victimizations to be reported to the police. In this paper, three data sets are employed to measure the magnitude of this reporting bias. While each of these analyses is subject to individual criticisms, all of the approaches yield similar estimates. Reporting bias appears to be present but relatively small in magnitude: each additional officer is associated with an increase of roughly five Index crimes that previously would have gone unreported. Taking reporting bias into account makes the hiring of additional police substantially more attractive from a cost–benefit perspective but cannot explain the frequent inability of past studies to uncover a systematic negative relationship between the size of the police force and crime rates.     

The Impact of the Terrorist Attacks of 9/11 on Anti-Islamic Hate Crime

Abstract

Using existing data from the FBI's Uniform Crime Reporting (UCR) Program, time series analyses were conducted on hate crime data from 2001 around the terrorist attacks of September 11, 2001. A statistically significant increase in anti-Islamic hate crime occurred after 9/11, and anti-Islamic hate crime leveled off within 8 weeks of the occurrence. News stories reporting anti-Islamic hate crimes, stories reporting fear of such bias crime, and public calls for calm, tolerance, and/or reaction to anti-Islamic bias crime followed a similar pattern found within the official data. A city-by-city analysis found that UCR reported anti-Islamic hate crime was essentially non-existent in New York City and Washington, DC. It is suggested that public calls for calm and tolerance and in-group/out-group dynamics may have impacted anti-Islamic hate crime frequency, thus accounting for rises and reductions in this form of bias crime over time.     

The prosecution of bias crime in the Netherlands and the problem of net-widening: fundamental limits to criminal liability

Crimes that are committed with bias motives are categorised as ??hate?? or bias crimes and are punished more severely than nonbias crimes. However, bias crime laws are often applied to offences where there is no clear evidence of a bias motive. Based on the results of 318 case studies into bias crime prosecutions in the Netherlands, this paper demonstrates that the causes of net-widening should be sought in the action-oriented nature of criminal law reasoning. Decision makers rely on objective behavioural indicators to infer motives. However, these are rarely reliable. We argue that this process results in a transformation of bias crime laws. They are no longer used to punish harmful motives. Rather, they are used to combat behaviour that is considered socially harmful on account of its perceived intolerant, racist or xenophobic message. This forces us to reconsider the justification behind trying to punish motive.     

The prosecution of hate crimes: the limitations of the hate crime typology

Since the development of bias crime legislation over the past few decades, scholars have debated the merits of the legislation and questioned its enforcement.(1) In light of such concerns, this study presents characteristics of all cases prosecuted as bias crimes in a New Jersey county between 2001 and 2004 and applies the hate crime typology originally developed in 1993. Results show that, in this jurisdiction, the typology is an inadequate tool for classifying cases prosecuted as hate crimes. Approximately one third of the cases are unclassifiable according to the typology. Findings indicate that the typology is useful for understanding cases in which bias is the sole motivation but inadequate for application to the many cases in which bias is a peripheral motivation.     

The use of state crime and accident records for targeted,direct‐mail solicitations: Commercial speech,access and privacy

Direct‐mail solicitations targeted to individuals identified in state crime and accident records raise privacy concerns. State statutes seeking to restrict the commercial use of information in these records raise First Amendment implications for both the senders and receivers of information in this context. This article analyzes conflicting court opinions on the constitutionality of state statutes seeking to limit direct‐mail solicitations targeted to individuals involved in crimes and accidents through controls on availability and use of information contained in public crime and accident records. The article suggests that statutes permanently barring commercial access to public crime and accident records or banning commercial use of information obtained from these records run afoul of the recently invigorated commercial speech doctrine and violate the First Amendment.     

Developing Outcome Measures for Criminal Justice Information Sharing: A Study of a Multi-Jurisdictional Officer Notification System for Policing Sex Offenders in Southern California

Information-sharing efforts are broadly assumed by criminal justice and security practitioners to be effective, yet their impact on policing performance has not been thoroughly studied. This paper develops measures for an information-sharing system in a population of sex offenders in Southern California. We compared interagency involvement and policing outcomes for registered sex offenders with (n = 3,919) and without (n = 581) records pertaining to their sex offender status in the Officer Notification System (ONS) of ARJIS. To account for differences in criminal activity, offenders were matched on each of four focal incidents (citations, field interviews, crime cases, and arrests) and compared on outcomes that followed the focal incident. Compared to controls, sex offenders with ONS records were 75 % more likely to be involved with multiple agencies, 92 % more likely to have a citation following a crime case, 34 % more likely to have multiple crime cases (i.e., a crime case following an initial crime case), 44 % more likely to have a field interview following a citation, over 2 times more likely to have a field interview following a crime case, and 20-30 % more likely to have an arrest after a crime case, citation, or field interview. Novel measures of information sharing revealed links between the sharing of information about sex offender registrant status and the frequency and timing of police incidents and inter-agency involvement.     

The Effects of Immigrant Concentration on Changes in Neighborhood Crime Rates

Objectives

This study investigated the extent to which immigrant concentration is associated with reductions in neighborhood crime rates in the City of Los Angeles.

Methods

A potential outcomes model using two-stage least squares regression was estimated, where immigrant concentration levels in 1990 were used as an instrumental variable to predict immigrant concentration levels in 2000. The instrumental variables design was used to reduce selection bias in estimating the effect of immigrant concentration on changes in official crime rates between 2000 and 2005 for census tracts in the City of Los Angeles, holding constant other demographic variables and area-level fixed effects. Non-parametric smoothers were also employed in a two-stage least squares regression model to control for the potential influence of heterogeneity in immigrant concentration on changes in crime rates.

Results

The results indicate that greater predicted concentrations of immigrants in neighborhoods are linked to significant reductions in crime. The results are robust to a number of different model specifications.

Conclusions

The findings challenge traditional ecological perspectives that link immigrant settlement to higher rates of crime. Immigration settlement patterns appear to be associated with reducing the social burden of crime. Study conclusions are limited by the potential for omitted variables that may bias the observed relationship between immigrant concentration and neighborhood crime rates, and the use of only official crime data which may under report crimes committed against immigrants. Understanding whether immigrant concentration is an important dynamic of changing neighborhood patterns of crime outside Los Angeles will require replication with data from other U.S. cities.     

Deadly Words: State Power and the Entanglement of Speech and Violence in Hate Crime

Any analysis of hate crime that attempts to separate speech from action, language from violence, faces epistemological difficulties that limit the range of conversations about laws responding to identity-based injury in the United States. Active debates have raged over the implications of bias crime sentence enhancement laws for the protection of ‘freespeech’, thus addressing the inextricability of language and meaning from hate crime. Those in favor of legal responses to identity-based injury tend toward essentialist claims which assume the stability of identity and of meanings inherent in words or actions. Those opposed assert the impossibility of codifying the meaning of words or actions in the law, and/or they worry about the reification of (victimized) identities accompanying bias crime statutes. This article argues that the focus on language and speech in these debates simultaneously enables an evasion of discussion about the law's response to bias-related violence, and misleadingly assumes too much stability in the functions of law and the nature of state power. Interviews conducted by the author with individuals involved in a 1992 racist hate crime are used to show the diverse elements of state power suffusing the incident and its aftermath. An analysis of the crime's investigation and prosecution under a Maryland hate crime statute suggests that law enforcement officers are primarily using hate crime laws as public relations tools in a fight against community perceptions that they are themselves bigots. This revised version was published online in July 2006 with corrections to the Cover Date.     

The Complexity of Hate Crime and Bias Activity: Variation across Contexts and Types of Bias

Are racially-motivated hate crimes, non-criminal bias incidents, and general forms of crime associated with the same structural factors? If so, then social disorganization, a powerful structural correlate of general crime, should predict rates of hate incidents. However, tests of social disorganization’s effects on racially-motivated hate crime yield inconsistent results. This study uses data from the Pennsylvania Human Relations Commission (PHRC) to explore such inconsistencies. Specifically, we assess the effects of social disorganization across contexts and types of bias motivation using bias incidents over 12 years. The results suggest that (a) social disorganization, particularly residential instability, is robustly correlated with rates of both hate crime and other prejudicial conduct, and that (b) the interactive effects of social disorganization help explain variations in incident rates by motivation type. Specifically, anti-black incidents are most frequent in unstable, homogeneous (i.e. white) and advantaged communities, while anti-white incidents are most frequent in unstable, disadvantaged communities.     

Juvenile perpetrators of race/ethnicity-based bias crimes

Most bias crime literature focuses on adults despite the fact that youth account for a large proportion of prejudice-motivated violence. The LA County Commission on Human Relations data for all bias crimes from 2002-2008 was used to examine similarities and differences between adult and youth suspects of bias-motivated crimes. Findings showed youth victims of racial bias crimes were 12 times more likely to be targeted by youth suspects and over five times more likely to commit property offenses. Public places were nearly three times more likely than resident places to be the location of the bias crime by youth suspects. Female perpetrators of racial bias crimes were two times more likely to be youths. Implications of the findings are discussed.     

Juror decision making for juveniles tried as adults: the effects of defendant age,crime type,and crime outcome

This study examined the influences of the crime type (person or property) and the crime outcome (mild or severe) on mock jurors’ verdict and sentencing decisions for adult defendants and juvenile defendants tried as adults. Jurors read a trial summary depicting a defendant charged with aggravated robbery or second-degree burglary. The crimes had either mild or severe damage inflicted on the person or property, and the defendant's age was presented as 14 or 24. Neither the defendant age nor the crime outcome affected jurors’ verdicts; however, jurors were more likely to convict a defendant charged with a crime against a person. Jurors recommended longer sentences for an adult defendant, a defendant charged with a crime against a person, and a defendant charged with a crime with a severe outcome. The discussion explored these outcomes and the role of bias in jurors’ perceptions of defendants.     

DISTINCTIVE CHARACTERISTICS OF ASSAULTS MOTIVATED BY BIAS*

This research examines the ways in which assaults motivated by bias are similar to and different from other types of assault. Analyses are based on data from the National Incident Based Reporting System (NIBRS), pooled across eleven states. We find evidence suggesting that offenders motivated by racial and ethnic bias are more likely to be versatile offenders than specialists: they are more (not less) likely to be using drugs and alcohol during the crime than conventional offenders. Bias offenders are also more likely to seriously injure the victim. Finally, we find that the risks of bias crime victimization (relative to the risk of assault victimization generally) are similar for blacks and other racial minorities.     

Understanding the Relationship Between Relative Group Size and Hate Crime Rates: Linking Methods with Concepts

Abstract

In recent studies, Hipp et al. caution that the selection of the appropriate denominator in computing the rate of intra- and inter-group interactions is consequential for key findings. The present study builds on this work and examines whether adjusting for the structural opportunities for any type of interaction affects the observed relationship between hate crime rates and minority group size. We go beyond prior research by computing distinctive measures of anti-Black hate crime rates across US counties circa 2000. Our findings offer support for the power-differential hypothesis, revealing a negative effect of minority population size on crime motivated by bias. These results also underline the importance of the procedure developed by Hipp et al., showing that that the selection of the “baseline” for the computation of hate crime rates is critical for understanding the relationship between minority group size and crime motivated by bias.     

RESIDENT PERCEPTIONS OF CRIME AND DISORDER: HOW MUCH IS “BIAS”, AND HOW MUCH IS SOCIAL ENVIRONMENT DIFFERENCES?*

This study attempted to disentangle the extent to which residents are systematically biased when reporting on the level of crime or disorder in their neighborhood. By using a unique sample of households nested in household clusters, this study teased out the degree of systematic bias on the part of respondents when perceiving crime and disorder. The findings are generally consistent with theoretical expectations of which types of residents will perceive more crime or disorder and contrast with the generally mixed results of prior studies that used an inappropriate aggregate unit when assuming that residents live in the same social context of crime or disorder. Estimating ancillary models on a sample of respondents nested in tracts produced mixed results that mirror the existing literature. This article shows that Whites consistently perceive more crime or disorder than their neighbors. It also shows that females, those with children, and those with longer residence in the neighborhood perceive more crime or disorder than their neighbors.     

Mortgage fraud: A risk factor analysis of affected communities

Mortgage fraud is a fast-growing form of white-collar crime that has received much press coverage in the United States of America. Mortgage fraud has an adverse effect on individual homeowners, communities, and many indirect victims of the crime. While past research has focused on the personal motivating factors behind the commission of white-collar crime, this particular article reviews several facets of the crime itself and explores the potential neighbourhood risk factors that help attract the crime. From a national perspective, mortgage fraud seems to occur more frequently in neighbourhoods that have low socioeconomic indicators. These associations become even more pronounced when the degree of fraud occurrences within the community is factored in as a variable. Upon disaggregating the data according to region, the fraud indicator variables also display differing trend levels, perhaps indicating that as mortgage fraud practices begin to mature within an area, its community dynamics tend to change as well. The article concludes with recommendations for policymakers, community organizations, and law enforcement officials as to how to address mortgage fraud once it appears within a community, and also addresses future avenues of research for what is largely an untapped area of financial crime research.     

Estimating the Impact of Classification Error on the “Statistical Accuracy” of Uniform Crime Reports

This paper offers a methodological approach for estimating classification error in police records then determining the statistical accuracy of official crime statistics reported to the Uniform Crime Reporting (UCR) program. Classification error refers to the mistakes in UCR statistics caused by the misclassification of criminal offenses, for example recording a crime as aggravated assault when it should have been simple assault. Statistical accuracy refers to the estimated true total of each crime type based on cancelling effect of undercounting and overcounting crime due to misclassifications. The population for the study consists of the 12 largest municipal police agencies in a mostly rural southeastern state. Based on a sample of 2,663 records, the authors illustrate the impact of classification error on the total population of reported offenses. Misclassifications result in overcounting and undercounting certain crimes. The true number of each crime type, as well as the aggregate Index Crime, Violent Crime, and Property Crime totals, is estimated based the evaluation of offsetting misclassifications. The findings show that certain UCR crime categories are greatly undercounted while others are overcounted. The index crime and violent crime totals are also significantly undercounted; however, when simple assault is added to the index and violent crime categories, the error in these aggregate numbers is reduced to less than 1%. The results provide a benchmark for assessing the statistical accuracy of the UCR data.     

Swedish quantitative criminology in the 1990s: A brief overview

Quantitative criminology research published in Sweden in the 1990s is reviewed and put in the context of major Swedish traditions in quantitative criminological research. Sweden has a strong tradition in sophisticated longitudinal and ecological research which continues into the 1990s. Other traditionally prominent areas of Swedish quantitative research include studies of crime trends, violence, and youth criminality. Traditionally Swedish quantitative criminology has been dominated by studies using official statistics and criminal records as data. In the 1990s there has been a significant upswing in survey studies, motivated partly by an increased interest in questions of etiology and crime prevention. More fundamental research on the causes of crime, including new longitudinal studies, and more evaluations of crime prevention initiatives are needed.     

Accomplishing Difference: How Do Anti-race/Ethnicity Bias Homicides Compare to Average Homicides in the United States?

Research on the nature of bias homicide has experienced increased interest in the academic literature. To date, few studies have compared the similarities and differences between anti-race/ethnicity bias homicides and average American homicides. Consequently, we know little about how the offender, victim, and situational characteristics compare across these two homicide types. Drawing from doing difference theory of bias crime, the aim of this study is to comparatively analyze the attributes of anti-race/ethnicity homicides to average homicides between 1990 and 2014. Anti-race/ethnicity homicide data is extracted from the U.S. Extremist Crime Database and paired with average homicides from the Federal Bureau of Investigation’s 2000 Supplementary Homicide Reports. The results of this study suggest that the characteristics of anti-race/ethnicity homicides are both similar and different from average homicides. Implications for bias crime theory, research, and policy are discussed.     

A rational approach to the principles and practice of crime scene investigation: I. Principles.

This paper proposes a structured approach to crime scene investigation that may be applied to the wider aspects of criminal investigation. The approach is an adaptation of the hypotheticodeductive method. The investigator begins with observation of the scene leading to a cycle of hypotheses creation and testing with other information being supplied only after the initial scene examination and hypotheses creation. The recording of observation, hypotheses creation and testing, and information received creates an audit trail of the investigative process. The method seeks to minimise observer bias by providing a rational and recorded approach to crime scene investigation.     

A model of local crime displacement

In this paper, we develop a two-region model of crime spatial displacement. For high crime regions, the crime rate in one locality is negatively influenced by the crime rate of the other. The magnitude of the displacement depends on the distance between the two regions and on their relative size. For given sized neighbors, a closer distance implies greater displacement. When one region is larger, relative to the other, this increases the displacement, holding distance fixed. Examples show that the displacement from the treated to the adjacent areas can be small, if the relative size of the former is small. Nonetheless, the displacement can be large for other nearby areas, provided that the treated region is relatively big. Neglecting this result can cause an upward bias at the estimated impact of a policy. We also analyze the consequences for the design of public policies.