Using demographic risk factors to explain variations in the incidence of violence against women

Abstract

This article offers statistical support for the contention that demographic risk factors influence the incidence of some women's experiencing violence more than others. Our results were generated using a binary probit model and 6,332 observations from the 1996 Australian Women's Safety Survey. For purposes of comparison, we identified a set of benchmark demographic characteristics as those occurring most frequently in the data set and estimated that if a woman were to have all of these characteristics, the probability she would have experienced violence in the past 12 months was 6.7%. We found that the risk varied with levels of post school education, income, ethnic background, number and age of children, marital status, and age. Employment status, school-leaving age, and socioeconomic status had no statistically significant effect on the risk of experiencing violence once other factors were considered. This analysis may provide a basis for violence reduction and prevention programs.