为什么美国经济在过去70年的每一次衰退中都如此稳定地复苏?

IF 7.5 1区 经济学 Q1 ECONOMICS Nber Macroeconomics Annual Pub Date : 2020-05-01 DOI:10.1086/718588
Robert E. Hall, Marianna Kudlyak
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引用次数: 27

摘要

美国历史商业周期的一个显著事实是,在失业率在衰退中达到峰值并开始复苏后,失业率的年度下降稳定在当前失业水平的十分之一左右。我们在一篇配套论文Hall和Kudlyak(2020a)中记录了这一事实。在这里,我们考虑对回收率惊人一致性的解释。我们表明,劳动力市场从衰退到复苏的演变不仅仅涉及衰退冲击中失业者持续失业的直接影响——对于在衰退期间没有失业的人来说,复苏期间的失业率高于正常水平。我们探索了劳动力市场自我复苏的模型,这意味着在经济衰退冲击后,失业率会逐渐降低。我们强调高失业率对创造就业的力量的反馈。这些模型也解释了为什么整个市场失业率的复苏速度比失业工人个人找到新工作的速度慢得多。原因包括,失业者重返稳定就业的道路通常包括几个短暂的临时工作。
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Why Has the US Economy Recovered So Consistently from Every Recession in the Past 70 Years?
A remarkable fact about the historical US business cycle is that, after unemployment reached its peak in a recession, and a recovery begins, the annual reduction in the unemployment rate is stable at around one tenth of the current level of unemployment. We document this fact in a companion paper, Hall and Kudlyak (2020a). Here, we consider explanations for the surprising consistency of recoveries. We show that the evolution of the labor market from recession to recovery involves more than the direct effect of persistent unemployment of job-losers from the recession shock -- unemployment during the recovery is above normal for people who did not lose jobs during the recession. We explore models of the labor market's self-recovery that imply gradual working off of unemployment following a recession shock. We emphasize the feedback from high unemployment to the forces driving job creation. These models also explain why the recovery of market-wide unemployment is so much slower than the rate at which individual unemployed workers find new jobs. The reasons include the fact that the path that individual job-losers follow back to stable employment often includes several brief interim jobs.
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来源期刊
CiteScore
5.10
自引率
0.00%
发文量
23
期刊介绍: The Nber Macroeconomics Annual provides a forum for important debates in contemporary macroeconomics and major developments in the theory of macroeconomic analysis and policy that include leading economists from a variety of fields.
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