Employment Analysis of female During the COVID-19 Epidemic

Botao Lian ()
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Botao Lian: University of Minnesota-Twin Cities, College of Liberal Arts

A chapter in Proceedings of the 2025 3rd International Conference on Digital Economy and Management Science (CDEMS 2025), 2025, pp 413-422 from Springer

Abstract: Abstract The COVID-19 pandemic has disproportionately impacted the labor market, particularly affecting women’s employment. While fiscal and monetary policies have aimed to mitigate economic turmoil, few research has specifically analyzed how the pandemic exacerbated employment challenges for women in the U.S., especially concerning race, education, age, and work experience. This study explores the employment difficulties faced by women during the COVID-19 epidemic by analyzing data from 2019 to 2021. Using OLS regression models, the study investigates the impact of these variables on women’s employment rates before and during the pandemic. The results reveal that race, education level, age, and previous work experience significantly influenced employment opportunities for females during this period. Additionally, although the epidemic substantially impacted employment rates, the wage gap between males and females was not impacted. This study emphasizes the necessity of specific policies that provide equitable chances for job progression, childcare assistance, and vocational training to empower women.

Keywords: COVID-19; Female employment; Regression analysis; Gender disparity; Labor market (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:spr:advbcp:978-94-6463-770-0_47

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DOI: 10.2991/978-94-6463-770-0_47

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