美国的失业有多结构性?

Yuelin Liu
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引用次数: 0

摘要

本文使用TVP-SVAR模型估计了总水平上的匹配效率(即错配)在驱动失业波动中的作用。在总体水平上对错配进行建模,避免了在分解水平(工业、职业、地理等)上错配来源的正交性的隐含假设,并且对结构的分解水平不敏感。观察到估计的总匹配效率滞后于商业周期,我使用标准时间限制确定了对总匹配效率的结构性冲击。基于脉冲响应分析和预测误差方差分解,我得出结论,匹配效率冲击解释了1967-2013年间美国失业率变化的不超过20%,而总体冲击解释了远远超过70%的失业率波动。与此相关的是,大衰退期间失业率的上升主要是由总需求的下滑主导的,而不是由结构性因素驱动的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
How Structural Is Unemployment in the United States?
In this paper, the role of matching efficiency (equivalently, mismatch) at the aggregate level in driving unemployment fluctuations is estimated using a TVP-SVAR model. Modelling mismatch at the aggregate level sidesteps the problematic implicit assumption of orthogonality of sources of mismatch at disaggregated levels (industrial, occupational, geographical, etc.) and is not sensitive to the level of disaggregation by construction. Observing that estimated aggregate matching efficiency lags business cycles, I identify a structural shock to aggregate matching efficiency using standard timing restrictions. Based on impulse response analysis and forecast error variance decompositions, I conclude that the matching efficiency shock explains no more than 20% of the variation in unemployment in the United States between 1967-2013, whereas aggregate shocks explain well above 70% of unemployment fluctuations. Related, the rise in the unemployment rate during the Great Recession is dominated by a slump in aggregate demand rather than driven by structural factors.
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