Measuring the labor market at the onset of the COVID-19 crisis
Jesse Rothstein and
Department of Economics, Working Paper Series from Department of Economics, Institute for Business and Economic Research, UC Berkeley
We use traditional and non-traditional data to measure the collapse and partial recovery of the U.S. labor market from March to early July, contrast this downturn to previous recessions, and provide preliminary evidence on the effects of the policy response. For hourly workers at both small and large businesses, nearly all of the decline in employment occurred between March 14 and 28. It was driven by low-wage services, particularly the retail and leisure and hospitality sectors. A large share of the job losses in small businesses reflected firms that closed entirely, though many subsequently reopened. Firms that were already unhealthy were more likely to close and less likely to reopen, and disadvantaged workers were more likely to be laid off and less likely to return. Most laid off workers expected to be recalled, and this was predictive of rehiring. Shelter-in-place orders drove only a small share of job losses. Last, states that received more small business loans from the Paycheck Protection Program and states with more generous unemployment insurance benefits had milder declines and faster recoveries. We find no evidence that high UI replacement rates drove job losses or slowed rehiring. This work has been supported, in part, by the University of California Multicampus Research Programs and Initiatives grant MRP-19-600774.
Keywords: Social and Behavioral Sciences; MRPI Grant MRP-19-600774 (search for similar items in EconPapers)
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