|
This paper was to examine the poverty of the elderly women in Korea from the gender sensitive and social exclusion perspectives. A set of survey data, using binomial logistic regression model, was analyzed for this purpose. Independent variable was gender, while dependent variable was the binominal condition of exclusion or inclusion (non-exclusion). Control variables were demographic characteristics (i.e., age, marital status, disabled status, chronic disease), social characteristics of subjective economic level in the future, and their residential area. Seven types of exclusion (labor market exclusion, exclusion from education, institutional exclusion, exclusion form housing, cultural exclusion, exclusion from social network, economic exclusion) were fixed in the analyses. The concise findings of the analyses were that exclusion from education as well as exclusion from social network were mainly influenced by gender. However, the other social exclusions did not show any significant effect on it.
|