Labor Market Segmentation and Gender Inequality in Cameroon
International Journal of Business and Economics Research
Volume 3, Issue 2, April 2014, Pages: 89-98
Accepted: Apr. 16, 2014; Published: Apr. 30, 2014
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Ningaye Paul, Faculty of Economics and Management, University of Dschang, Cameroon
Talla Fokam Dieu Ne Dort, Faculty of Economics and Management, University of Dschang, Cameroon
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This research seeks to propose ways to reduce gender inequality in the labor market in Cameroon. It uses the dynamic cloud classification to identify different segments of the labor market, the decomposition method of Oaxaca and Blinder to quantify the gender discrimination and to highlight the factors which provoke such discrimination. The results show that the Cameroonian labor market has three segments. The segment with the highest gender inequality is the informal agricultural sector, followed by the non-agricultural informal sector, and finally the formal sector. Our results also show that if we want a greater reduction of gender inequality, we must encourage women's access to secondary and higher education, encourage women's access to vocational training, and increase their number of years of professional experience.
Segmentation, Labor Market, Gender Inequality
To cite this article
Ningaye Paul, Talla Fokam Dieu Ne Dort, Labor Market Segmentation and Gender Inequality in Cameroon, International Journal of Business and Economics Research. Vol. 3, No. 2, 2014, pp. 89-98. doi: 10.11648/j.ijber.20140302.16
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