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

Mohamed Niaré, Ousmane Mariko
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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.
西非经货联盟国家的失业问题:横断面数据方法
本文旨在对西非经济和货币联盟(WAEMU)失业的微观经济决定因素进行实证评估,并对不活跃因素进行控制。我们利用家庭生活条件统一调查(2019 年)进行了多项式逻辑分析。结果显示,女性、单身、年轻、残疾和居住在城市会增加失业和不活跃的风险。此外,尽管受过教育的人失业率较高,但与未受过教育的人相比,他们不活动的可能性较低。我们还注意到,与受教育程度相同的男性相比,受过大学教育的女性受不活动的影响较小,但仍面临更大的失业风险。此外,年龄对男性失业率的影响非常有限,而对女性失业率的放大效应则非常明显。此外,大学教育对失业的负面影响在农村地区比在大城市更为明显。最后,残疾并不决定农村地区的失业率,而城市地区则不同,残疾会加剧农村地区的失业率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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