Aggregate Labor Force Participation and Unemployment and Demographic Trends

Andreas Hornstein, Marianna Kudlyak
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引用次数: 18

Abstract

We estimate trends in the labor force participation (LFP) and unemployment rates for demographic groups differentiated by age, gender, and education, using a parsimonious statistical model of age, cohort and cycle effects. Based on the group trends, we construct trends for the aggregate LFP and unemployment rate. Important drivers of the aggregate LFP rate trend are demographic factors, with increasing educational attainment being important throughout the sample and ageing of the population becoming more important since 2000, and changes of groups' trend LFP rates, e.g. for women prior to 2000. The aggregate unemployment rate trend on the other hand is almost exclusively driven by demographic factors, with about equal contributions from an older and more educated population. Extrapolating the estimated trends using Census Bureau population forecasts and our own forecasts for educational shares, we project that over the next 10 years the trend LFP rate will decline to 61.1% from its 2018 value of 62.7%, and the trend unemployment rate will decline to 4.3% from its 2018 value of 4.7%.
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总劳动力参与率、失业率和人口趋势
我们使用年龄、队列和周期效应的简约统计模型,估计了按年龄、性别和教育程度区分的人口群体的劳动力参与率(LFP)和失业率的趋势。基于群体趋势,我们构建了总LFP和失业率的趋势。总体生育率趋势的重要驱动因素是人口因素,其中教育程度的提高在整个样本中都很重要,人口老龄化自2000年以来变得更加重要,以及2000年之前各群体趋势生育率的变化,例如女性。另一方面,总体失业率趋势几乎完全是由人口因素驱动的,年龄较大和受教育程度较高的人口对失业率的贡献大致相同。根据人口普查局的人口预测和我们自己对教育份额的预测,我们预测未来10年LFP趋势率将从2018年的62.7%下降到61.1%,趋势失业率将从2018年的4.7%下降到4.3%。
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