Lockdowns and the US Unemployment Crisis.

Christian Dreger, Daniel Gros
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Abstract

The Covid-19 pandemic led to an unprecedented decline of economic activity at the globe scale. To slow down the spread of the virus, most governments reacted with various measures of social distancing, such as mobility controls, business and school closures, etc. We investigate the short-term impact of social distancing measures on the US labour market, using a panel threshold model with high frequency (weekly) data on unemployment across US states allowing for heteroscedasticity. Labour is a key input in production, and thus a good proxy for the state of the economy. We find that changes in the restrictiveness of mandated social distancing, as measured by the Oxford Stringency Index, exert a strong impact on unemployment. The bulk of the reaction of unemployment to a change in the social distancing restrictions does not arise immediately, but with a delay of 2-4 weeks. In addition, the impact is asymmetric. If the policies switch to tighter regulations, the increase in unemployment is quicker and higher in absolute value than a decrease after relaxation. The state of the pandemic, proxied by the number of new infections and fatalities, constitutes only a marginal factor.

Abstract Image

Abstract Image

Abstract Image

封锁与美国失业危机。
Covid-19 大流行导致全球经济活动空前衰退。为减缓病毒传播,大多数国家政府采取了各种社会隔离措施,如控制人口流动、关闭企业和学校等。我们使用一个面板阈值模型,利用美国各州的高频(每周)失业率数据(允许异方差),研究了社会疏远措施对美国劳动力市场的短期影响。劳动力是生产的关键投入,因此是经济状况的良好代表。我们发现,以牛津严格指数衡量的强制性社会隔离的限制性变化对失业率有很大影响。失业率对社会疏远限制变化的大部分反应不是立即产生的,而是延迟了 2-4 周。此外,这种影响是不对称的。如果政策转向更严格的规定,失业率的增长速度和绝对值都要高于放宽后的下降速度和绝对值。以新感染病例和死亡人数为代表的疫情状况只是一个次要因素。
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