VARIATION IN AFRICAN-AMERICAN HOMICIDE RATES: AN ASSESSMENT OF POTENTIAL EXPLANATIONS*

Using 1990 data for 222 metropolitan areas, this study extends the traditional variables examined in models of homicide and uses regression analysis to test the viability of three alternative theories that may explain high rates of African-American homicide victimization. The first approach examines the extent to which weak forms of social control have contributed to high homicide rates. The second approach tests the notion that discrimination and inequality have increased levels of absolute and relative deprivation for blacks, which in turn engender frustration and contribute to higher levels of violence. The third approach posits that engagement in violent activity may be a rational act for young African-American males faced with the reality of highly limited economic opportunities. While all three approaches contribute to explaining high African-American homicide, this study shows the greatest support for the social control explanation.     

YOUNG GUNS: EXAMINING ALTERNATIVE EXPLANATIONS OF JUVENILE FIREARM HOMICIDE RATES*

In recent years, youth firearm homicide has become a topic of great public concern in the United States. However, few macrolevel studies have examined intercity variation in juvenile firearm homicide. In the current study, we address this gap in the literature by examining whether intercity variation in firearm‐related homicide rates among black and white juveniles is explained by three prominent structural factors: concentrated disadvantage, racial inequality, and the youth illicit drug market activity. Our findings suggest partial support for the concentrated disadvantage and juvenile drug market explanations of homicide. However, contrary to expectations, these relationships are only significant in models for white juveniles.     

DIMENSIONS OF RACIAL INEQUALITY AND RATES OF VIOLENT CRIME*

The purpose of this paper is to identify systematic sources of discrepancies in the macro-level research on racial inequality and rates of violent crime. A review of the literature suggests three likely sources of discrepant results across previous studies: differing operationalizations of racial inequality, differing samples, and differing specifications. The analyses reveal that while sample composition appears to be relatively unimportant, operationalization of racial inequality in terms of socioeconomic status (SES) rather than income can lead to very different conclusions. For certain models, SES-based measures are clearly superior to income-based measures. However, slight modifications of the regression models can render the effects of racial inequality in SES nonsignificant. These results call for a skeptical assessment of previous evidence indicating a positive relationship between racial inequality and rates of violent crime.     

STRUCTURAL INEQUALITY AND HOMICIDE: AN ASSESSMENT OF THE BLACK‐WHITE GAP IN KILLINGS*

This paper examines the relationship between race and violent crime by directly modeling the racial gap in homicide offending for large central cities for 1990. We evaluate the role of black‐white differences in aspects of both disadvantage and resources in explaining which places have wider racial disparities in lethal violence. The results show that where residential segregation is higher, and where whites' levels of homeownership, median income, college graduation, and professional workers exceed those for blacks to a greater degree, African Americans have much higher levels of homicide offending than whites. Based on these results, we conclude that the racial homicide gap is better explained by the greater resources that exist among whites than by the higher levels of disadvantage among blacks.     

ECONOMIC INEQUALITY AND LEVELS OF HOMICIDE: AN ANALYSIS OF URBAN NEIGHBORHOODS*

This paper presents an analysis of the relationship between levels of economic inequality and homicide rates for a sample of 26 neighborhoods in Manhattan, New York. It argues that neighborhoods are more appropriate units of analysis for studying inequality and homicide than are larger political and statistical units because neighborhoods are more likely to constitute meaningful frames of reference for social comparisons. The principle hypothesis is that a high degree of economic inequality in a neighborhood will give rise to high levels of relative deprivation and high rates of homicide. The results of a series of multiple regression analyses fail to support this hypothesis. The measure of economic inequality is weakly associated with the observed homicide rates. Similarly, the racial composition of Manhattan neighborhoods exhibits no significant association with levels of homicide, given statistical controls for other sociodemographic variables. Two neighborhood characteristics do emerge as significant predictors of homicide rates: the relative size of the poverty population and the percent divorced or separated. Homicide rates tend to be highest in those neighborhoods characterized by extreme poverty and pervasive marital dissolution.     

SOCIAL SUPPORT,INEQUALITY, AND HOMICIDE: A CROSS‐NATIONAL TEST OF AN INTEGRATED THEORETICAL MODEL*

Social support, institutional anomie, and macrolevel general strain perspectives have emerged as potentially important explanations of aggregate levels of crime. Drawing on insights from each of these perspectives in a cross‐national context, the analyses show that 1) our measure of social support is inversely related to homicide rates, 2) economic inequality also maintains a direct relationship with homicide rates, and 3) social support significantly interacts with economic inequality to influence homicide rates. The implications of the analysis for ongoing discourse concerning the integration of these criminological theories and the implications for the development of effective crime control policies are discussed.     

INCOME INEQUALITY AND HOMICIDE RATES: CROSS-NATIONAL DATA AND CRIMINOLOGICAL THEORIES

Previous studies have identified but failed to explain satisfactorily the positive relationship between income inequality and homicide rates. This paper proposes an explanation based on the concept of relative deprivation, but also reviews the criminological literature in a search for other theoretically relevant variables. After assessing problems of sampling and measurement, and using a considerably larger sample than used in previous studies, multiple regression analyses reveal positive net effects of both inequality and population growth (reflecting a higher proportion of young people) on homicide rates. Further analyses show that the effects of inequality on homicide are more pronounced in more democratic nations, a finding supporting the relative deprivation explanation. Income inequality also has stronger effects in more densely populated countries, in wealthier nations, and in countries with larger internal security forces.     

POPULATION DIVERSITY AND CROSS-NATIONAL HOMICIDE: THE EFFECTS OF INEQUALITY AND HETEROGENEITY*

This study examines the impact of income inequality and ethnic heterogeneity on homicide rates for a sample of 32 nations. The results of the analyses indicate that vertical social direrentiation, as measured by income inequality, and horizontal differentiation, as indexed by ethnic heterogeneity, have signijicant main effects on cross-national homicide. Additionally, evidence is presented suggesting an interaction effect on inequaliry and heterogeneity on homicide. It appears that increased ethnic heterogeneity exacerbates the impact of income inequality on homicide rates.     

FEMALE AND MALE HOMICIDE VICTIMIZATION RATES: COMPARING TRENDS AND REGRESSORS*

This study compares national female and male homicide victimization rates (HVRs) during 1930–1995. The trends are almost the same, even when separated by race, in spite of large gender differences in HVR levels. When regressing female and male HVRs on demographic, economic, social control, and other variables, the coefficients differ between the sexes only to the extent expected by chance. The important predictors relate to offenders and are independent of the type of victim; the incapacitation impact of prison populations is especially strong for all HVRs. This is consistent with others' findings that men who murder women, and even those who commit sexual and partner assaults, have criminal records nearly as bad as offenders generally. These findings have implications for several broader topics: the usefulness of data dis-aggregation, the usefulness of crime situation theories, the reasons for declining homicide rates, and strategies for reducing violence against women.     

HOMICIDE,STRUCTURAL FACTORS,AND THE RACIAL INVARIANCE ASSUMPTION*

Structural theories in criminology generally assume that the effects of structural conditions on homicide are the same for all race-groups. However, previous homicide research testing this assumption contains methodological shortcomings and has produced inconsistent findings. Therefore, the validity of the “racial invariance assumption” remains highly questionable. Using 1990 data for 125 U.S. cities, this study addresses some of the limitations of previous research in an effort to provide a more definitive examination of race differences in the effects of important structural factors on homicide rates. Contrary to the expectations of the structural perspective, the results from this study reveal substantial and statistically significant race differences. Specifically, the associations between homicide and several measures of socio-economic deprivation (e.g., poverty, unemployment, income inequality, female-headed households, deprivation index) are found to be stronger among whites than blacks. A primary implication of these results is that the current versions of many structural theories need revision in order to account for observed race differences in the effects of structural factors and to explain fully the black-white gap in homicide rates.     

THE REPRODUCTION OF RACIAL INEQUALITY: HOW CRIME AFFECTS HOUSING TURNOVER*

This study examines the microlevel process of housing turnover between Blacks and Whites to assess whether crime plays an important role in the racial transition of neighborhoods. The study uses a unique, longitudinal version of the National Crime Survey in which each dwelling's close neighbors are identified. After controlling for household characteristics and the characteristics of their close neighbors, crime occurring in nearby areas is found to increase the chances of White-to-Black turnover while decreasing the chances of Black-to-White turnover. This change occurs even though the directly victimized houses do not necessarily have a probability of racial turnover different than that of other houses nearby. The findings suggest the presence of structural constraints that limit the housing opportunities for Blacks and constrain their choice of residence to comparatively unsafe neighborhoods. They also indicate that “White avoidance,” in which Whites systematically bypass high-crime neighborhoods, is important in maintaining the relationship between race and crime.     

THE IMPACT OF OUT-OF-STATE PRISON POPULATION ON STATE HOMICIDE RATES: DISPLACEMENT AND FREE-RIDER EFFECTS*

Past studies of the impact of prison population on homicide rates have produced widely divergent results. Those using state-level data find small impacts, but those using national data find very large ones. We use displacement/free-rider theory to explore the difference between these results. Displacement, in the current context, refers to a criminal's movement away from states with higher imprisonment rates. Free riding occurs when a state benefits from criminals being incarcerated in other states. If the displacement effect holds, a state's prison population has a stronger impact on crime within the state than would be accomplished by deterrence and incapacitation alone. If the free-rider effect holds, higher prison populations outside the state reduce homicide in the state because criminals are incapacitated elsewhere. Using vital statistics data for 1929 to 1992, we conduct separate homicide regressions for each state using both in-state and out-of-state prison population as independent variables. We find that the out-of-state variable has a much larger (negative) association with homicide, indicating substantial free riding. We also find evidence of a small displacement impact.     

AN ERRORS-IN-VARIABLE MODEL OF THE EFFECT OF POVERTY ON URBAN HOMICIDE RATES

Inconsistent findings on the relationship between poverty and violent crime have led some authors to question the presence of a structural relationship. There is reason, however, to believe that many of the existing estimates are biased because measures of poverty contain errors which are confounded with disturbances in the estimated models. In this paper we specify and estimate a model which accommodates the measurement error and provides an instrumental variable estimate of the effects of poverty on homicide rates in the 49 largest cities in the U.S. Compared to similar OLS estimates, the instrumental variable estimates are much larger and fit a model in which poverty increases the homicide rate. The results are similar when homicides are divided into four types: family homicides, other primary homicides, robbery homicides, and other-felony homicides     

NEIGHBORHOOD AND DELINQUENCY: AN ASSESSMENT OF CONTEXTUAL EFFECTS*

The sociological perspectives which helped formulate the study of delinquency and continue to underlie more specific conceptual frameworks—Social Disorganization, Subculture, and Labeling—point to the importance of contextual effects in the dynamics explaining delinquent and criminal behavior. Yet, systematic examination of such effects has been all but neglected. This paper delineates and empirically assesses neighborhood characteristics postulated to represent contextual factors affecting individual delinquency and criminality. Data were collected from a stratified random sample of adolescent males drawn from 12 New York City neighborhoods. The initial model, designed to refine hypotheses specifying community contextual effects, exhibits a highly satisfactory fit to the data. The framework underscores the importance of considering distinct community contextual effects as well as individual-level effects. Two neighborhood-level factors, the effects of which are quite distinct, are important: the community's level of organizational participation and the extent of disorder and criminal subculture. The indirect and direct effects of these factors are elaborated in relation to three measures of de1inquency—namely, self-reported, officially recorded, and severe self-reported delinquency.     

FAMILY,ACQUAINTANCE, AND STRANGER HOMICIDE: ALTERNATIVE PROCEDURES FOR RATE CALCULATIONS*

This paper describes the extent of missing data within the Supplementary Homicide Report (SHR), collected as part of the Uniform Crime Reporting Program of the FBI. The yearly SHR provides coded information on the victim, the offender, and the circumstances of all reported homicides in the United States. Thus, the data allow the computation of specific kinds of homicide rates, such as those involving family members, acquaintances, and strangers. However, missing data within reported events, primarily on offender characteristics and thus the victim/offender relationship, present a serious obstacle to the accurate calculation of such rates. The authors propose computational procedures designed to compensate for missing data and empirically evaluate the impact of these procedures on comparative analyses of homicide rates for cities, metropolitan areas, and states.     

POVERTY,INFANT MORTALITY,AND HOMICIDE RATES IN CROSS-NATIONAL PERSPECTIVE: ASSESSMENTS OF CRITERION AND CONSTRUCT VALIDITY*

This article assesses the extent to which the infant mortality rate might be treated as a “proxy” for poverty in research on cross-national variation in homicide rates. We have assembled a pooled, cross-sectional time-series data set for 16 advanced nations from the 1993–2000 period that includes standard measures of infant mortality and homicide and contains information on the following commonly used “income-based” poverty measures: a measure intended to reflect “absolute” deprivation and a measure intended to reflect “relative” deprivation. With these data, we assess the criterion validity of the infant mortality rate with reference to the two income-based poverty measures. Also, we estimate the effects of the various indicators of disadvantage on homicide rates in regression models, thereby assessing construct validity. The results reveal that the infant mortality rate is correlated more strongly with “relative poverty” than with “absolute poverty,” although much unexplained variance remains. In the regression models shown here, the measure of infant mortality and the relative poverty measure yield significant positive effects on homicide rates, whereas the absolute poverty measure does not exhibit any significant effects. The results of our analyses suggest that it would be premature to dismiss relative deprivation in cross-national research on homicide, and that disadvantage is conceptualized and measured best as a multidimensional construct.     

THE STRUCTURAL COVARIATES OF URBAN HOMICIDE: REASSESSING THE IMPACT OF INCOME INEQUALITY AND POVERTY IN THE POST-REAGAN ERA*

Numerous studies have explored the relationship between rates of homicide and income inequality and poverty. However, a general consensus on the theoretical and empirical connections among these variables has yet to be reached. This article reports the findings of a city-level analysis of this relationship, using 1990 data for the 190 largest cities in the United States. In order to address several methodological and theoretical concerns in prior literature, three separate measures of inequality and three categories of disaggregated homicide rates are analyzed. The results suggest that both inequality and poverty have significant and independent positive effects on rates of homicide in U.S. cities following the largest increase in the economic gap between rich and poor in our nation's history.     

UNEMPLOYMENT AND PUNISHMENT: AN EMPIRICAL ASSESSMENT*

Evidence for a relationship between unemployment and imprisonment has been regarded as “elusive” and “conflicting.” Such conclusions have been based primarily on aggregate-level data. Individual-level data have provided only indirect evidence for this relationship. This research considers prosecution, incarceration, and length of incarceration outcomes for 1,970 criminal defendants arrested in 1982. Multivariate logit and OLS estimates show a significant, strong, and independent impact of unemployment on pretrial and postsentencing incarceration. The interaction of race and unemployment shows that the greatest likelihood of incarceration is for unemployed black defendants, especially those who are young males or charged with violent and public order crimes. Theoretical implications for the control and punishment of “dangerous classes” are discussed.     

STRUCTURAL CONDITIONS AND RACIAL HOMICIDE PATTERNS: A LOOK AT THE MULTIPLE DISADVANTAGES IN URBAN AREAS*

This research examines the differential effects of structural conditions on race-specific victim and offender homicide rates in large U.S. cities in 1990. While structural theories of race relations and criminological explanations are reviewed, particular attention is given to those structural theories that highlight racial competition, economic and labor market opportunity, and racial segregation as essential for an examination of racially disaggregated homicide offending. The effects of these and other structural conditions are estimated for four racially distinct homicide offending models—black intraracial, white intraracial, black interracial, and white interracial homicides. The results suggest that the structural conditions that lead to race-specific victim and offender homicide rates differ significantly among the four models. Economic deprivation and local opportunity structures are found to influence significantly the rates of intraracial homicide offending, while racial inequality contributes solely to black interracial homicide rates. In addition, our findings indicate that blacks and whites face different economic and social realities related to economic deprivation and social isolation. The differential impact of these structural conditions and other labor market factors are discussed.