Labor Market Experiences of US Veterans During COVID-19: Women’s Relative Advantage
Eunice S. Han () and
Sarah Small
Additional contact information
Eunice S. Han: University of Utah
Eastern Economic Journal, 2024, vol. 50, issue 3, No 4, 278-306
Abstract:
Abstract While recessions typically affect men’s employment more adversely than women’s in the USA, the COVID-19 recession was an exception to this trend. In this paper, we focus on the veteran population and ask whether COVID-19 affected employment outcomes differently for veteran women than veteran men. Using Current Population Survey data, we find that the COVID-19 recession had less serious effects on veteran women relative to veteran men in multiple aspects of employment conditions. We offer potential explanations for this finding and ultimately provide evidence of heterogeneity in labor market experiences based on types of recessions, gender, and population subgroups.
Keywords: COVID-19 pandemic; Recession; Veterans; Gender inequality; E32; J16; J21; J65 (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://link.springer.com/10.1057/s41302-024-00271-8 Abstract (text/html)
Access to full text is restricted to subscribers.
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:pal:easeco:v:50:y:2024:i:3:d:10.1057_s41302-024-00271-8
Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/41302
DOI: 10.1057/s41302-024-00271-8
Access Statistics for this article
Eastern Economic Journal is currently edited by Allan Zebedee and Cynthia Bansak
More articles in Eastern Economic Journal from Palgrave Macmillan, Eastern Economic Association Contact information at EDIRC.
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().