COVID-19

Report prepared for the Department of Labor Chief Evaluation Office Summer Data Challenge on Equity and Underserved Communities

Blog from DOL: https://blog.dol.gov/2022/02/10/were-using-data-to-better-understand-our-work-and-create-more-equitable-programs-and-policies

https://www.dol.gov/sites/dolgov/files/OASP/evaluation/pdf/University%20of%20Illinois%20-%20Final%20SDC%20Paper.pdf

http://publish.illinois.edu/elizaforsythe/files/2022/04/ForsytheYang_DOL.pdf

Abstract: Using data from before and during the Covid-19 pandemic, we show that the expansion of benefits under the CARES Act only modestly increased self-reported UI recipiency among UI eligible workers, from 27% in 2018 to 36% in 2020/2021. We find that the same demographic groups that historically are less likely to report receiving benefits (less educated, younger, and racial and ethnic minorities) continued to be less likely to receive benefits during the pandemic. In addition we find non-heterosexual workers are also substantially less likely to report receiving benefits. The overarching reason for these disparities is differences in beliefs about eligibility, resulting in likely-eligible workers not applying for benefits. We show that union members and individuals who live in states with historically higher recipiency rates are less likely to be misinformed about eligibility, suggesting a role for policy and informational interventions to improve recipiency rates.

Abstract: We report on the state of the labor market midway through the COVID recession, focusing particularly on measuring market tightness. As we show using a simple model, tightness is crucial for understanding the relative importance of labor supply or demand side factors in job creation. In tight markets, worker search effort has a relatively larger impact on job creation, while employer profitability looms larger in slack markets. We measure tightness combining job seeker information from the CPS and vacancy postings from Burning Glass Technologies. To parse the former, we develop a taxonomy of the non-employed that identifies job seekers and excludes the large number of those on temporary layoff who are waiting to be recalled. With this taxonomy, we find that effective tightness has declined about 50% since the onset of the epidemic to levels last seen in 2016, when labor markets generally appeared to be tight. Disaggregating market tightness, we find mismatch has surprisingly declined in the COVID recession. Further, while markets still appear to be tight relative to other recessionary periods, this could change quickly if the large group of those who lost their jobs but are not currently searching for a range of COVID-related reasons reenter the search market.

Abstract:

Using data from the Current Population Surveys, we investigate the aggregate and distributional consequences of the Covid-19 pandemic and the associated public policy response on labor earnings and unemployment benefits in the United States up until February 2021. We find that year-on-year changes in labor earnings for employed individuals were not atypical during the pandemic months, regardless of their initial position in the earnings distribution. The incidence of job loss, however, was, and continues to be, substantially higher among low earners, leading to a dramatic increase in labor income inequality among the set of individuals who were employed prior to the onset of the pandemic. By providing very high replacement rates for individuals displaced from low-paying jobs, the initial public policy response was successful in reversing the regressive nature of the pandemic’s impacts. We estimate, however, that recipiency rates for displaced low earners were relatively low. Moreover, from September onwards, when policy changes led to a decline in benefit levels, earnings changes became much more regressive, even after factoring in benefits.

Previous version: “Impacts of the COVID-19 Pandemic and the CARES Act on Earnings and Inequality” (IZA DP No. 13643)