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Unemployment in the WAEMU Countries: A Cross-Sectional Data Approach

Author

Listed:
  • Mohamed Niare

    (Institute of University Pedagogy, Mali)

  • Ousmane Mariko

    (Faculty of Economics and Management of Bamako (Mali))

Abstract

The aim of this article is to conduct an empirical evaluation of the microeconomic determinants of unemployment in the West African Economic and Monetary Union (WAEMU), controlling for inactivity. A multinomial logistic analysis has been conducted by using the Harmonized Survey of Household Living Conditions (2019) survey. Our results show that being female, single, young, disabled, and living in urban increases the risk of unemployment and inactivity. Furthermore, despite a higher incidence of unemployment among educated individuals, they are less likely to be inactive compared to those with no education. We also note that women with a university education are less affected by inactivity than men with the same level of education but remain more exposed to unemployment. In addition, age has a very limited influence on unemployment among men, unlike women, where it has a very significant amplifying effect. In addition, the negative effect of university education on unemployment is more pronounced in rural areas than in big cities. Finally, disability does not determine rural unemployment, unlike in urban areas, where it exacerbates it.

Suggested Citation

  • Mohamed Niare & Ousmane Mariko, 2023. "Unemployment in the WAEMU Countries: A Cross-Sectional Data Approach," World Journal of Applied Economics, WERI-World Economic Research Institute, vol. 9(2), pages 113-124, December.
    • Handle: RePEc:ana:journl:v:9:y:2023:i:2:p:113-124
    DOI: 10.22440/wjae.9.2.1
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    More about this item

    Keywords

    Unemployment; WAEMU; Cross-sectional data; Employment survey; Inactivity;
    All these keywords.

    JEL classification:

    • D63 - Microeconomics - - Welfare Economics - - - Equity, Justice, Inequality, and Other Normative Criteria and Measurement
    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination
    • J64 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Unemployment: Models, Duration, Incidence, and Job Search

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