A good deal of research in recent years has revisited the relationship between immigration and violent crime. Various scholars have suggested that, contrary to the claims of the classic Chicago School, large immigrant populations might be associated with lower rather than higher rates of criminal violence. A limitation of the research in this area is that it has been based largely on cross‐sectional analyses for a restricted range of geographic areas. Using time‐series techniques and annual data for metropolitan areas over the 1994–2004 period, we assess the impact of changes in immigration on changes in violent crime rates. The findings of multivariate analyses indicate that violent crime rates tended to decrease as metropolitan areas experienced gains in their concentration of immigrants. This inverse relationship is especially robust for the offense of robbery. Overall, our results support the hypothesis that the broad reductions in violent crime during recent years are partially attributable to increases in immigration.

This paper 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 dataset for 16 advanced nations over the 1993–2000 period that includes standard measures of infant mortality and homicide and also contains information on two 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 are able to assess the criterion validity of the infant mortality rate with reference to the two income-based poverty measures. We are also able to 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 more strongly correlated with “relative poverty” than with “absolute poverty,” although much unexplained variance remains. In the regression models, the measure of infant mortality and the relative poverty measure yield significant positive effects on homicide rates, while the absolute poverty measure does not exhibit any significant effects. Our analyses suggest that it would be premature to dismiss relative deprivation in cross-national research on homicide, and that disadvantage is best conceptualized and measured as a multidimensional construct.

Using time-series techniques with national data for 1967-98, we model the effects on changes in age-race-specific arrest rates of changes in indicators of economic deprivation. A measure of child poverty is positively related to juvenile arrest rates for both races, whereas changing unemployment (lagged) yields a surprising negative effect on youth offending. Measures of intraracial income inequality are also associated with changes in juvenile arrest rates, but the effects differ by race. Between-race inequality is unrelated to changes in arrest rates for both races. Our general conclusion is that fluctuations in juvenile homicide offending over recent decades can be understood, at least in part, with reference to the macro-economic environment confronting young people and their families.