Kawoon Azizi

Abstract

This paper aims to identify the most important factors influencing female labor force participation in Afghanistan.  Specifically, the paper examines the impact on women’s employment status of factors such as age, education, marital status, residence, family size, household production, household expenditure, father’s age, asset value, and mother’s age and education. In order to collect data, we took a survey of 200 households in rural and urban areas of Nangarhar province and interviewed 370 women. For the analysis, this study uses a binary logistic regression model to examine the impact of the specified variables on women’s employment status. Nagelkerke R2 = 0.778 for the model shows that 77.8% of the variance in female employment status is caused by the list of explanatory variables considered in the model. However, as the dependent variable is binary the interpretation is not always the same as OLS models and needs deeper understanding of reader. Finally, results of the model show that, female employment is positively associated with age, education, family size, household production, household expenditure, father’s age, and asset value. However, female employment is shown to be negatively associated with marital status, residence, mother’s education, and mother’s age. Among these variables, female education, female age, and mother’s age are statistically significant and have p-values of P < 0.05. Household production and household expenditure have p-values significant at p < 0.1 level.

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