Work that can be done from home: evidence on variation within and across occupations and industries

Using large, geographically representative surveys from the US and UK, we docu ment 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 considera...

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Main Authors: Adams-Prassl, A, Boneva, T, Golin, M, Rauh, C
Format: Working paper
Language:English
Published: University of Oxford 2021
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author Adams-Prassl, A
Boneva, T
Golin, M
Rauh, C
author_facet Adams-Prassl, A
Boneva, T
Golin, M
Rauh, C
author_sort Adams-Prassl, A
collection OXFORD
description Using large, geographically representative surveys from the US and UK, we docu ment 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 and workers with less stable work arrangements can do fewer tasks from home. Using machine-learning methods, we extend our working-from-home mea sure to all disaggregated occupation-industry pairs.
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spelling oxford-uuid:190836df-967c-4d18-9086-b9b91e1ad3a32022-03-26T10:46:35ZWork that can be done from home: evidence on variation within and across occupations and industriesWorking paperhttp://purl.org/coar/resource_type/c_8042uuid:190836df-967c-4d18-9086-b9b91e1ad3a3EnglishSymplectic ElementsUniversity of Oxford2021Adams-Prassl, ABoneva, TGolin, MRauh, CUsing large, geographically representative surveys from the US and UK, we docu ment 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 and workers with less stable work arrangements can do fewer tasks from home. Using machine-learning methods, we extend our working-from-home mea sure to all disaggregated occupation-industry pairs.
spellingShingle Adams-Prassl, A
Boneva, T
Golin, M
Rauh, C
Work that can be done from home: evidence on variation within and across occupations and industries
title Work that can be done from home: evidence on variation within and across occupations and industries
title_full Work that can be done from home: evidence on variation within and across occupations and industries
title_fullStr Work that can be done from home: evidence on variation within and across occupations and industries
title_full_unstemmed Work that can be done from home: evidence on variation within and across occupations and industries
title_short Work that can be done from home: evidence on variation within and across occupations and industries
title_sort work that can be done from home evidence on variation within and across occupations and industries
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