[ Capital humain et emploi dans la zone UEMOA : Cas du Benin, du Burkina, du Niger et du Sénégal ]
Volume 27, Issue 2, September 2019, Pages 563–576
Moussa THIAW1 and François Joseph CABRAL2
1 Laboratoire de recherches sur les institutions et la croissance (LINC), Université Cheikh Anta Diop de Dakar (UCAD), Senegal
2 Laboratoire de recherches sur les institutions et la croissance (LINC), Université Cheikh Anta Diop de Dakar (UCAD), Senegal
Original language: French
Copyright © 2019 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
The issue of employment is one of the main challenges of inclusive growth for most African countries. 11 million young people enter the labor market each year, while the sub-Saharan Africa labor market offers only 3 million jobs, a gap of around 8 million jobs per year (ADB, 2017). From this work, we evaluate, using a multinomial logit model (MLM), the impact of human capital on the probability of access to employment in a sample of WAEMU countries with data from household surveys. The results show that a significant increase in human capital allows for a qualified job in all four WAEMU countries. However, in Senegal, the accumulation of vocational and/or technical training has led to a considerable increase in skilled employment.
Author Keywords: Human capital, Employment, Labor market, LOGIT Model, WAEMU..
Volume 27, Issue 2, September 2019, Pages 563–576
Moussa THIAW1 and François Joseph CABRAL2
1 Laboratoire de recherches sur les institutions et la croissance (LINC), Université Cheikh Anta Diop de Dakar (UCAD), Senegal
2 Laboratoire de recherches sur les institutions et la croissance (LINC), Université Cheikh Anta Diop de Dakar (UCAD), Senegal
Original language: French
Copyright © 2019 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract
The issue of employment is one of the main challenges of inclusive growth for most African countries. 11 million young people enter the labor market each year, while the sub-Saharan Africa labor market offers only 3 million jobs, a gap of around 8 million jobs per year (ADB, 2017). From this work, we evaluate, using a multinomial logit model (MLM), the impact of human capital on the probability of access to employment in a sample of WAEMU countries with data from household surveys. The results show that a significant increase in human capital allows for a qualified job in all four WAEMU countries. However, in Senegal, the accumulation of vocational and/or technical training has led to a considerable increase in skilled employment.
Author Keywords: Human capital, Employment, Labor market, LOGIT Model, WAEMU..
Abstract: (french)
La problématique de l’emploi est un des principaux défis d’une croissance inclusive pour la plupart des pays africains. 11 millions de jeunes entrent chaque année sur le marché du travail alors que le marché de l’emploi de l’ASS n’offre que 3 millions d’emploi soit un gap d’environ 8 millions d’emploi par an (BAD, 2017). De ce travail, nous étudions, à l’aide d’un modèle logit multinomial (MLM), l’impact du capital humain sur la probabilité d’accès à l’emploi dans un échantillon de pays de l’UEMOA avec des données d’enquêtes ménage. Les résultats révèlent qu’un accroissement significatif du capital humain permet d’occuper un emploi de type qualifié dans tous les quatre pays de l’UEMOA. Toutefois, au Sénégal, l’accumulation d’une formation professionnelle et/ou technique a entrainé une hausse considérable de l’emploi qualifié.
Author Keywords: Capital humain , Emploi , Marché du travail , MLOGIT , UEMOA.
How to Cite this Article
Moussa THIAW and François Joseph CABRAL, “Human capital and employment in the WAEMU countries : Case of Benin, Burkina, Niger and Senegal,” International Journal of Innovation and Applied Studies, vol. 27, no. 2, pp. 563–576, September 2019.
