 Measuring Trends in Work From Home: Evidence from Six U.S. DatasetsAlexander Bick, Adam Blandin, Aidan Caplan and Tristan Caplan No 19495, CEPR Discussion Papers from Centre for Economic Policy Research Abstract: This paper documents the prevalence of work from home (WFH) in six U.S. data sets. These surveys measure WFH using different questions, reference periods, samples, and survey collection methods. Once we construct samples and WFH measures that are comparable across surveys, all surveys broadly agree about the trajectory of aggregate WFH since the Covid-19 outbreak. The most important source of disagreement in the level of WFH across surveys is in WFH by self-employed workers; by contrast, surveys closely agree on rates of WFH among employees. All surveys agree that in 2024 WFH remains substantially above pre-pandemic levels. We also highlight that full-time WFH drove most of the increase in aggregate WFH during and after the pandemic but part-time WFH has become a more significant contributor since 2022. Finally, we validate findings from survey data by comparing self-reported commuting behavior to cellphone geolocation data from Google Workplace Visits. Keywords: Work from home; Remote work; Telecommuting; Commuting (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:cpr:ceprdp:19495 Ordering information: This working paper can be ordered from Access Statistics for this paper More papers in CEPR Discussion Papers from Centre for Economic Policy Research 33 Great Sutton Street, London EC1V 0DX, UK. |
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