RT Article
T1 The Distribution of Household Property Crimes
JF Journal of quantitative criminology
VO 14
IS 3
SP 307
OP 330
A1 Osborn, Denise R.
A2 Tseloni, Andromachi
LA English
YR 1998
UL https://krimdok.uni-tuebingen.de/Record/1764280504
AB Previous studies have established that repeat victimizations occur more frequently than would be expected if households within a particular area were victimized randomly. This implies that characteristics of the household affect the victimization rate. Even controlling for these characteristics, we find that a Poisson model does not capture the distribution of victimizations because repeat victimizations are more concentrated than it would indicate. This leads us to adopt the negative binomial generalization of the Poisson model. Our analysis uses sociodemographic attributes of the household and community-level characteristics to predict victimizations, with the victimization data being the observed number of property crime victimizations from the 1992 British Crime Survey. The negative binomial generalization is found to be highly statistically significant and the crime concentration it implies becomes much more marked as the predicted number of victimizations increases.
K1 negative binomial model
K1 Poisson model
K1 State dependence
K1 Heterogeneity
K1 Repeat victimization
K1 Property Crime
DO 10.1023/A:1023086530548