Economic Cycles and Employment Growth in the WAEMU Zone: An Analysis Using a Non-Linear ARDL Panel Model

Vassy Pierre Sangare, W. Djezou, Caroline Ble
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Abstract

The West African Economic and Monetary Union (WAEMU) is facing frequent and diverse crises that are affecting economic stability and employment opportunities in the region. It is important to analyze the impact of economic cycles on employment, as the response of employment supply differs during economic growth and contraction. This article uses a lagged non-linear auto-regressive model (NARDL) on panel data from 1990 to 2022, along with various filters, to examine the relationship between employment and business cycles. The study found that there is an asymmetric relationship between economic growth and employment, with the impact of economic recessions being stronger on long-term employment than on short-term employment. The study suggests that countries have not fully utilized their economic potential to benefit employment. To achieve sustainable economic growth and reduce the proliferation of the informal sector, economies should focus their efforts on translating their potential into action.
西非经济货币联盟区的经济周期和就业增长:使用非线性 ARDL 面板模型进行分析
西非经济和货币联盟(WAEMU)正面临着频繁而多样的危机,这些危机影响着该地区的经济稳定和就业机会。分析经济周期对就业的影响非常重要,因为在经济增长和收缩期间,就业供给的反应是不同的。本文使用滞后非线性自回归模型(NARDL)对 1990 年至 2022 年的面板数据进行分析,并使用各种滤波器来研究就业与商业周期之间的关系。研究发现,经济增长与就业之间存在非对称关系,经济衰退对长期就业的影响强于对短期就业的影响。研究表明,各国尚未充分利用其经济潜力来促进就业。为了实现可持续经济增长和减少非正规部门的扩散,各经济体应集中精力将其潜力转化为行动。
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