Chun Song, Lionel J Beaulieu, Indraneel Kumar, Roberto Gallardo
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引用次数: 0
Abstract
The COVID-19 pandemic may have spurred automation, especially in critical occupations. This article explores the potential of each detailed Standard Occupational Classification System (SOC) occupation being automated due to COVID-19. The authors explore two key elements of each occupation: its exposure to diseases such as COVID-19 and the probability of that occupation being automated. The results reveal that food preparation, service, and cleaning-related occupations have a higher chance of pandemic-induced automation. Using monthly U.S. job postings from 2016 to 2021, the estimates show that the potential pandemic-induced automation is associated with a statistically significant decrease in job postings. A higher Automation Index is associated with fewer job postings since the pandemic. Such trends remain robust after accounting for posting duration and excluding health-related occupations. These findings contribute to the early assessment of the impact of COVID-19 on the potential integration of automation in the labor force and offer insights into building a resilient and labor-centric post-pandemic labor market.
期刊介绍:
Economic development—jobs, income, and community prosperity—is a continuing challenge to modern society. To meet this challenge, economic developers must use imagination and common sense, coupled with the tools of public and private finance, politics, planning, micro- and macroeconomics, engineering, and real estate. In short, the art of economic development must be supported by the science of research. And only one journal—Economic Development Quarterly: The Journal of American Economic Revitalization (EDQ)—effectively bridges the gap between academics, policy makers, and practitioners and links the various economic development communities.