全球智库信息集成服务系统(G2TT): DP14901 Work Tasks That Can Be Done From Home: Evidence on Variation Within & Across Occupations and Industries

G2TT

来源类型	Discussion paper
规范类型	论文
来源ID	DP14901
	DP14901 Work Tasks That Can Be Done From Home: Evidence on Variation Within & Across Occupations and Industries
	Abigail Adams-Prassl; Teodora Boneva; Christopher Rauh; Marta Golin
发表日期	2020-06-17
出版年	2020
语种	英语
摘要	Using large, geographically representative surveys from the US and UK, we document variation in the percentage of tasks workers can do from home. We highlight three dimensions of heterogeneity that have previously been neglected. First, the share of tasks that can be done from home varies considerably both across as well as within occupations and industries. The distribution of the share of tasks that can be done from home within occupations, industries, and occupation-industry pairs is systematic and remarkably consistent across countries and survey waves. Second, as the pandemic has progressed, the share of workers who can do all tasks from home has increased most in those occupations in which the pre-existing share was already high. Third, even within occupations and industries, we find that women can do fewer tasks from home. Using machine-learning methods, we extend our working-from-home measure to all disaggregated occupation-industry pairs. The measure we present in this paper is a critical input for models considering the possibility to work from home, including models used to assess the impact of the pandemic or design policies targeted at reopening the economy.
主题	Labour Economics ; Macroeconomics and Growth
关键词	Working from home Occupations Industry Coronavirus Covid-19 Telework
URL	https://cepr.org/publications/dp14901
来源智库	Centre for Economic Policy Research (United Kingdom)
资源类型	智库出版物
条目标识符	http://119.78.100.153/handle/2XGU8XDN/543843
推荐引用方式 GB/T 7714	Abigail Adams-Prassl,Teodora Boneva,Christopher Rauh,et al. DP14901 Work Tasks That Can Be Done From Home: Evidence on Variation Within & Across Occupations and Industries. 2020.