Identification and Analysis of Barriers to Employment for Educated Women in Afghanistan

Yelda Arib^1,

¹Department of Macro Economics, Lecturer at Faculty of Economics, Herat University, Herat, Afghanistan

Cite this paper:
Yelda Arib. Identification and Analysis of Barriers to Employment for Educated Women in Afghanistan. Journal of Finance and Economics. 2020; 8(4):171-182. doi: 10.12691/jfe-8-4-3

Abstract

Employment is one of the things that has always been of great importance in developed and developing countries. Considering the 50% share of women in the active population of each country, it is important to pay attention to employment in this sector. For this purpose, the present study aimed to recognize and analyze the barriers to the employment of educated women in Afghanistan. Initially, considering the various sources, barriers to employment of educated women in Afghanistan were identified and classified into different groups using factor analysis. Then, by filling out 437 questionnaires in Kabul, Herat, Balkh and Kandahar provinces, the most important barriers to the employment of educated women in Afghanistan were identified and analyzed using the Logit model. The results showed that variables such as the number of people with family income, age, education, inappropriate government policies, and insecurity in society, personal social factors, general culture, mentality, and personality are among the variables that affect the employment of educated women in Afghanistan. Also, by comparing weighted elasticities, comparing the 8 variables that influence the barriers to employment of educated women in Afghanistan, it is observed in the Logit model that the variable of personal social factors has the most importance on non-employment of educated women in Afghanistan. After this variable, respectively, are the policies of inappropriate government policies and the number of people with income in the family and the least important variables are age and education.

Keywords:
employment women factor analysis Logit Model Afghanistan

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