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The cyclical component of labor market polarization and jobless recoveries in the US

机译:美国劳动力市场极化和失业回收的周期性成分

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Based on quarterly occupation-level data from the US Current Population Survey for 1976- 2013, we exploit common cyclical employment dynamics to identify two clusters of occupations that roughly correspond to the widely discussed notion of "routine" and "non routine" jobs. After decomposing the cyclical dynamics into a cluster-specific ("structural") and an occupation-specific ("idiosyncratic") component, we detect significant structural breaks in the systematic dynamics of both clusters around 1990. We show that, absent these breaks, employment in the three "jobless recoveries" since 1990 would have recovered significantly more strongly than observed in the data, even after controlling for observed idiosyncratic shocks. (C) 2019 Elsevier B.V. All rights reserved.
机译:根据美国现行人口调查的季度占用级别数据,我们利用共同的周期性就业动态来确定大致符合“常规”和“非日常”工作概念的两种职业占领集群。在将周期性动态分解成簇特定的(“结构”)和职业特定的(“特质”(“特质”)组件后,我们在1990年左右检测了两个集群的系统动态中的显着结构中断。我们表明,缺席这些休息,即使在控制观察到的特质休克后,在1990年以来,自1990年以来三“自1990年以来的三个”失业恢复“就会恢复比在数据中的观察到。 (c)2019 Elsevier B.v.保留所有权利。

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