COVID-19 and implications for automation

C-Tier
Journal: Applied Economics
Year: 2023
Volume: 55
Issue: 17
Pages: 1939-1957

Authors (2)

Alex Chernoff (not in RePEc) Casey Warman (Dalhousie University)

Score contribution per author:

0.503 = (α=2.01 / 2 authors) × 0.5x C-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

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.

Technical Details

RePEc Handle
repec:taf:applec:v:55:y:2023:i:17:p:1939-1957
Journal Field
General
Author Count
2
Added to Database
2026-01-25