Is there a long-run relationship between the unemployment insurance and the labor force participation rate in the USA? A nonlinear analysis

Haydory Akbar Ahmed
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Abstract

PurposeThis paper explores the evidence of a long-run co-movement between aggregate unemployment insurance spending and the labor force participation rate in the USA. The unemployment insurance (UI) program tends to expand during an economic downturn and contract during an expansion. UI may incentivize unemployment and may also facilitate better matching in the labor market. Statistical evidence of the presence of a co-movement will thus shed new light on their dynamics.Design/methodology/approachThis research applies time-series econometric approach using monthly data from 1959:1 to 2020:3 to test threshold cointegration and estimate a threshold vector error-correction (TVEC) model. The estimates from the TVEC model investigating the nature of short-run dynamics.FindingsThe Enders and Siklos (2001) test find evidence of threshold cointegration between the two indicating the presence of long-run co-movement. The estimates from the TVEC model investigating the nature of short-run dynamics find evidence that the growth in aggregate UI spending and the growth in labor force participation rate adjust simultaneously to maintain the long-run co-movement above the threshold in the short run. The author also observes the same short-run dynamics for the growth in aggregate UI spending and the growth in the labor force participation rate for females.Research limitations/implicationsThis model is bi-variate by construction and does not address causality.Practical implicationsThe author argues that the UI program positively impacts the female labor market outcomes, for example, better matching. This finding may explain the upward trend in the labor force participation rate for females in the USA.Social implicationsThe research findings may justify the transfer programs for minority and immigrants.Originality/valueThis is first research that analyzes the UI programs impact on the labor force participation using a macroeconometric approach. To the best of the author's knowledge, this is the first study in this genre.
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在美国,失业保险和劳动力参与率之间是否存在长期关系?非线性分析
目的:本文探讨了美国总失业保险支出与劳动力参与率之间长期共同运动的证据。失业保险(UI)计划往往在经济衰退期间扩大,在经济扩张期间收缩。失业补贴可能会刺激失业,也可能促进劳动力市场上更好的匹配。因此,联合运动存在的统计证据将为它们的动态提供新的线索。本研究采用时间序列计量经济学方法,使用1959:1至2020:3的月度数据来检验阈值协整并估计阈值向量误差校正(TVEC)模型。TVEC模型的估计研究了短期动态的本质。恩德斯和西克洛斯(2001)的检验发现,两者之间存在阈值协整的证据,表明长期共同运动的存在。调查短期动态性质的TVEC模型的估计发现,有证据表明,总UI支出的增长和劳动力参与率的增长同时进行调整,以维持短期阈值以上的长期共同运动。作者还观察到,总体UI支出的增长和女性劳动力参与率的增长也存在同样的短期动态。研究局限性/意义本模型是双变量的,不涉及因果关系。实践意义作者认为,UI计划对女性劳动力市场结果有积极影响,例如更好的匹配。这一发现或许可以解释美国女性劳动力参与率上升的趋势。社会意义研究结果可以证明少数民族和移民的转移计划是合理的。原创性/价值这是第一个使用宏观计量经济学方法分析UI项目对劳动力参与影响的研究。据作者所知,这是第一次对这一类型的研究。
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