Proceedings of the 2025 3rd International Conference on Digital Economy and Management Science (CDEMS 2025)

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Employment Analysis of female During the COVID-19 Epidemic

Authors
Botao Lian1, *
1College of Liberal Arts, University of Minnesota-Twin Cities, Minneapolis, MN, 55455, USA
*Corresponding author. Email: Lian0137@umn.edu
Corresponding Author
Botao Lian
Available Online 26 June 2025.
DOI
10.2991/978-94-6463-770-0_47How to use a DOI?
Keywords
COVID-19; Female employment; Regression analysis; Gender disparity; Labor market
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.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2025 3rd International Conference on Digital Economy and Management Science (CDEMS 2025)
Series
Advances in Economics, Business and Management Research
Publication Date
26 June 2025
ISBN
978-94-6463-770-0
ISSN
2352-5428
DOI
10.2991/978-94-6463-770-0_47How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Botao Lian
PY  - 2025
DA  - 2025/06/26
TI  - Employment Analysis of female During the COVID-19 Epidemic
BT  - Proceedings of the 2025 3rd International Conference on Digital Economy and Management Science (CDEMS 2025)
PB  - Atlantis Press
SP  - 413
EP  - 422
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-770-0_47
DO  - 10.2991/978-94-6463-770-0_47
ID  - Lian2025
ER  -