TY - JOUR
T1 - Domestic violence against women, and their economic dependence
T2 - A count data analysis
AU - Basu, Bharati
AU - Famoye, Felix
PY - 2004/10
Y1 - 2004/10
N2 - In examining the relation between violence against women and women's economic dependence, existing literature treats the incidents of violence either as a binary or as a continuous variable. However, the incidents of violence is a count variable and, quite often, data on the number of violent incidents is categorized. This paper estimates the relation between violence against women and economic dependence by using a categorized negative binomial regression model. The model is suitable for categorized count data and thus provides a more accurate estimation of the relation than what is provided in the literature. Data analyses in this paper show that less economic dependence of women is associated with less violence.
AB - In examining the relation between violence against women and women's economic dependence, existing literature treats the incidents of violence either as a binary or as a continuous variable. However, the incidents of violence is a count variable and, quite often, data on the number of violent incidents is categorized. This paper estimates the relation between violence against women and economic dependence by using a categorized negative binomial regression model. The model is suitable for categorized count data and thus provides a more accurate estimation of the relation than what is provided in the literature. Data analyses in this paper show that less economic dependence of women is associated with less violence.
UR - http://www.scopus.com/inward/record.url?scp=8744308224&partnerID=8YFLogxK
U2 - 10.1080/0953825042000256685
DO - 10.1080/0953825042000256685
M3 - Review article
AN - SCOPUS:8744308224
VL - 16
SP - 457
EP - 472
JO - Review of Political Economy
JF - Review of Political Economy
SN - 0953-8259
IS - 4
ER -