The COVID-19 vaccine rollout and labor market recovery in the U.S: a note
Kolawole Ogundari ()
SN Business & Economics, 2022, vol. 2, issue 7, 1-13
Abstract:
Abstract The study examines the relationship between COVID-19 vaccine rollout and labor market recovery in the United States. We employed the U.S. Current Population Survey (CPS), covering February 2020–October 2021. With December 2020–October 2021 taken as the vaccine rollout period and February–November 2020 as the pre-vaccine period, we regress this on the number of working hours per week while controlling for other potential confounding factors using the ordinary least square (OLS) regression model. The empirical results show that working hours are significantly higher, since vaccines rolled out than in the pre-vaccine period, which probably reflects increased confidence in immunized individuals and vaccination optimism in the U.S. At the same time, we find that working hours are significantly higher, since vaccines rollout than in the pre-vaccine period among white respondents, while it decreases among black respondents. The regional insights also show that working hours increase during vaccine rollout in the Midwest and South, while we find no evidence in the Northeast and West. From the overall economic standpoint, this finding indicates an accelerating pace of labor market recovery in the United States.
Keywords: Vaccine; COVID-19; Labor market; USA (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://link.springer.com/10.1007/s43546-022-00258-7 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:snbeco:v:2:y:2022:i:7:d:10.1007_s43546-022-00258-7
Ordering information: This journal article can be ordered from
https://www.springer.com/journal/43546
DOI: 10.1007/s43546-022-00258-7
Access Statistics for this article
SN Business & Economics is currently edited by Gino D'Oca
More articles in SN Business & Economics from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().