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Macro-econometric analysis of unemployment in WAEMU countries
[Analyse macro-économétrique du chômage dans les pays de l’UEMOA]

Author

Listed:
  • Ousmane Mariko

    (USSGB - Université des sciences sociales et de gestion de Bamako, CREG - Centre de recherche en économie de Grenoble - UGA - Université Grenoble Alpes)

  • Mohamed Niaré

    (USSGB - Université des sciences sociales et de gestion de Bamako)

Abstract

Purpose : This paper aims to assess the macroeconomic determinants of unemployment in WAEMU countries, with a particular focus on rainfall shocks. Design/methodology/approach : The use of sub-regional data requires checking that time series are not simultaneously correlated. With this in mind, we used the Breusch-Pagan (1980) test to detect possible error correlation. Based on this result, we respectively used Pesaran ' s (2007) second-generation unit root test and Westerlund ' s (2007) cointegration test, which are robust to individual interdependence. Finally, we estimated the long-term unemployment equation using the DOLS technique to correct for any endogeneity problems. The data used in this study cover the period 1991–2020 and come from various sources : World Development Indicators, Worldwide Governance Indicators, and Global Climate Data-University of Delaware covering. Findings : Empirical analysis shows that rainfall shocks, trade openness and corruption control exacerbate unemployment, while GDP growth helps to reduce it. Inflation, ICT, and financial development, on the other hand, proved insignificant. Originality/value : This article assesses the impact of rainfall anomalies on unemployment, a first in the empirical literature.

Suggested Citation

  • Ousmane Mariko & Mohamed Niaré, 2024. "Macro-econometric analysis of unemployment in WAEMU countries [Analyse macro-économétrique du chômage dans les pays de l’UEMOA]," Post-Print halshs-04734883, HAL.
    • Handle: RePEc:hal:journl:halshs-04734883
    DOI: 10.18559/RIELF.2024.1.1639
    as

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