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.