COVID-19 and implications for automation

Alex Chernoff and Casey Warman

Applied Economics, 2023, vol. 55, issue 17, 1939-1957

Abstract: COVID-19 may accelerate the automation of jobs as employers invest in technology to safeguard against pandemics. We identify occupations that have high automation potential and also exhibit a high risk of viral infection. We examine regional variation in terms of which U.S. local labour markets are most at risk. Next, we outline the differential impacts COVID-19 may have on different demographic groups. We find that the highest-risk occupations in the U.S. are those held by females with mid- to low-wage and education levels. Using comparable data for 25 other countries, we also find that women in this demographic are at the highest risk internationally.

Date: 2023
References: Add references at CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
http://hdl.handle.net/10.1080/00036846.2022.2100870 (text/html)
Access to full text is restricted to subscribers.

Related works:
Working Paper: COVID-19 and Implications for Automation (2021)
Working Paper: COVID-19 and Implications for Automation (2020)
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:taf:applec:v:55:y:2023:i:17:p:1939-1957

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/RAEC20

DOI: 10.1080/00036846.2022.2100870

Access Statistics for this article

Applied Economics is currently edited by Anita Phillips

More articles in Applied Economics from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().