BIBLIOGRAPHY

Publications, working papers, and other research using data resources from IPUMS.

Full Citation

Title: Labor Impacts of COVID-19 in U.S. Agriculture: Evidence from the Current Population Survey

Citation Type: Journal Article

Forthcoming?: Yes

ISSN: 0195-3613

DOI: 10.1007/s12122-023-09345-6

Abstract: Early research hypothesized impacts of COVID-19 on agricultural workers, food supply, and rural health systems based on population characteristics from data collected preceding the pandemic. Trends confirmed a vulnerable workforce and limits to field sanitation, housing quality, and healthcare. Less is known about eventual, realized impacts. This article uses the Current Population Survey’s COVID-19 monthly core variables from May 2020 through September 2022 to document actual impacts. Summary statistics and statistical models for the probability of being unable to work reveal that 6 to 8% of agricultural workers were unable to work early in the pandemic and that impacts were disproportionately negative for Hispanics and those with children. An implication is that targeted policies based on vulnerabilities may minimize disparate impacts of a public health shock. Understanding the full impacts of COVID-19 on essential labor remains important for economics, public policy, and food systems in addition to public health.

Url: https://link.springer.com/article/10.1007/s12122-023-09345-6#citeas

User Submitted?: No

Authors: Pena, Anita Alves

Periodical (Full): Journal of Labor Research

Issue:

Volume:

Pages: 1-12

Data Collections: IPUMS CPS

Topics: Labor Force and Occupational Structure, Population Data Science

Countries:

IPUMS NHGIS NAPP IHIS ATUS Terrapop