Untangling Unemployment Dynamics: A Study of Nigeria's Labour Market
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Abstract
One of the prominent and pressing challenges confronting Nigeria revolves around the pervasive issue of unemployment. To delve into the roots of this predicament, this study adopts the Autoregressive Distributed Lag (ARDL) bound approach, leveraging time series data spanning from 1990 to 2022. The independent variables considered in the model encompass inflation rate (INF), Gross Domestic Product (GDP), education (EDU), labor force participation rate, total government expenditure (TGE), and exchange rate. The Unit Root test outcomes reveal a mixture of I(0) and I(1) series, necessitating the utilization of the ARDL approach. Notably, the research findings spotlight INF, GDP, EDU, and TGE as negatively and significantly influencing unemployment (UNEM) both in the short and long run. However, EDU is identified as an insignificant factor in the long run, while exhibiting a positive influence in the short run. In light of these results, it is recommended, among other strategies, that efforts be concentrated on enhancing labor market flexibility. Policy makers are encouraged to explore initiatives that bolster the adaptability of the workforce. This could involve the implementation of comprehensive training programs aimed at equipping workers with new skills and facilitating seamless labor mobility across various sectors. Furthermore, the study suggests the implementation of policies supporting a more flexible exchange rate regime to counter potential adverse long-term effects on unemployment. In essence, this research underscores the imperative for multifaceted solutions to address the multifaceted challenge of unemployment in Nigeria, emphasizing the enhancement of labor market dynamics and the formulation of policies conducive to economic resilience and adaptability. Key words: , ,
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