Determining the factors that influence female unemployment in a South African township

Type Journal Article
Title Determining the factors that influence female unemployment in a South African township
Author(s)
Publication (Day/Month/Year) 2013
URL http://www.sobiad.org/ejournals/journal_IJSS/arhieves/IJSS_2013_1/Diana_Joan_Viljoen.pdf
Abstract
This paper analyses the factors that determine female unemployment in
Bophelong Township. Factors such as level of education, household size, age,
marital status, social grants received and poverty status are used to determine
their influence on the employment status of the households of Bophelong
Township. A logistic regression model was employed to analyse the possible
determinants of female unemployment. The results of the regression indicate that,
of the determinants, household size, age, marital status, access to social grants
and poverty status were found to be significant determinants of whether one is
employed or not.

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