全球智库信息集成服务系统(G2TT): COVID-19 and Implications for Automation

G2TT

来源类型	Working Paper
规范类型	报告
DOI	10.3386/w27249
来源ID	Working Paper 27249
	COVID-19 and Implications for Automation
	Alex W. Chernoff; Casey Warman
发表日期	2020-07-13
出版年	2020
语种	英语
摘要	COVID-19 may accelerate the automation of jobs, as employers invest in technology to adapt the production process to safeguard against current and potential future pandemics. We identify occupations that have high automation potential and also exhibit a high degree of risk of viral infection. We then examine regional variation in terms of which U.S. local labor markets are most at risk. Next, we outline the differential impact that COVID-19 may have on automatable jobs for different demographic groups. We find that occupations held by U.S. females with mid to low levels of wages and education are at highest risk. Using comparable data for 25 other countries, we find women in this demographic are also at highest risk internationally.
主题	Health, Education, and Welfare ; Health ; Education ; Labor Economics ; Demography and Aging ; Labor Supply and Demand ; Regional and Urban Economics ; Regional Economics ; COVID-19
URL	https://www.nber.org/papers/w27249
来源智库	National Bureau of Economic Research (United States)
引用统计
资源类型	智库出版物
条目标识符	http://119.78.100.153/handle/2XGU8XDN/585168
推荐引用方式 GB/T 7714	Alex W. Chernoff,Casey Warman. COVID-19 and Implications for Automation. 2020.

条目包含的文件
文件名称/大小	资源类型	版本类型	开放类型	使用许可
w27249.pdf（1175KB）	智库出版物		限制开放	CC BY-NC-SA	浏览