A LOG‐MULTIPLICATIVE ASSOCIATION MODEL FOR ALLOCATING HOMICIDES WITH UNKNOWN VICTIM‐OFFENDER RELATIONSHIPS*

This research note critically evaluates conventional methods for allocating homicides with an unknown victim/offender relationship to meaningful categories, and it proposes an alternative approach. We argue that conventional methods are based on a problematic assumption, namely, that the missing data mechanism is “ignorable.” As an alternative to these methods, we propose an imputation algorithm derived from a log‐multiplicative model that does not require this assumption. We apply this technique to estimate levels of homicides disaggregated by victim/offender relationship using the Federal Bureau of Investigation's Supplementary Homicide Report (SHR) data for 1996 and 1997, and we compare the resulting estimates with those obtained from the application of conventional procedures. Our results yield a larger proportion of stranger homicides than are obtained from the conventional methods.     

PROACTIVE POLICING AND ROBBERY RATES ACROSS U.S. CITIES*

In recent years, criminologists, as well as journalists, have devoted considerable attention to the potential deterrent effect of what is sometimes referred to as “proactive” policing. This policing style entails the vigorous enforcement of laws against relatively minor offenses to prevent more serious crime. The current study examines the effect of proactive policing on robbery rates for a sample of large U.S. cities using an innovative measure developed by Sampson and Cohen (1988). We replicate their cross-sectional analyses using data from 2000 to 2003, which is a period that proactive policing is likely to have become more common than that of the original study—the early 1980s. We also extend their analyses by estimating a more comprehensive regression model that incorporates additional theoretically relevant predictors. Finally, we advance previous research in this area by using panel data, The cross-sectional analyses replicate prior findings of a negative relationship between proactive policing and robbery rates. In addition, our dynamic models suggest that proactive policing is endogenous to changes in robbery rates. When this feedback between robbery and proactive policing is eliminated, we find more evidence to support our finding that proactive policing reduces robbery rates.     

STRUCTURAL COVARIATES OF U.S. COUNTY HOMICIDE RATES: INCORPORATING SPATIAL EFFECTS*

Spatial analysis is statistically and substantively important for macrolevel criminological inquiry. Using county‐level data for the decennial years in the 1960 to 1990 time period, we reexamine the impact of conventional structural covariates on homicide rates and explicitly model spatial effects. Important findings are: (1) homicide is strongly clustered in space; (2) this clustering cannot be completely explained by common measures of the structural similarity of neighboring counties; (3) noteworthy regional differences are observed in the effects of structural covariates on homicide rates; and (4) evidence consistent with a diffusion process for homicide is observed in the South throughout the 1960–1990 period.     

HEREDITY AND CRIME: BAD GENES OR BAD RESEARCH?*

This review of the research literature on the heritability of criminal behavior organizes the studies by four basic research methodologies: family studies, twin studies, adoption studies, and gene-environment interaction studies. Interpretation of the relationships observed in these studies is made ambiguous and problematic by critical methodological inadequacies in the research itself: The methodological Jaws notwithstanding, the research evidence does seem to suggest the existence of a fairly consistent relationship between heredity and criminal behavior. Recommendations concerning the future direction of research in this area are discussed.     

THE ARTIFACT ISSUE IN DETERRENCE RESEARCH

The often-observed negative correlation between crime rates and estimates of the objective certainty of a legal punishment is interpreted by some as support for the deterrence doctrine. Others, however, characterize the correlation as inherently artifactual because the variables being correlated have a common term (number of crimes is the numerator of the crime rate and the denominator of the objective certainty variable). Still others argue that the correlation is not inherently artifactual but is nevertheless spurious because of measurement error. This paper shows that the negative correlation is not inherently artifactual and provides evidence to support the measurement error interpretation. Unfortunately, however, there is no definitive way to demonstrate whether the negative correlation between the crime rate and the objective certainty of punishment rejects deterrence or merely measurement error.