The DOI matches its Crossref record.
Work from Home After the COVID-19 Outbreak
Abstract
Based on rich novel survey data, we document that 35.2 percent of the US workforce worked entirely from home in May 2020, up from 8.2 percent in February.Highly educated, high-income and white workers were more likely to shift to working from home and maintain employment following the pandemic.Individuals working from home daily before the pandemic lost employment at similar rates as daily commuters.This suggests that, apart from the potential for home-based work, demand conditions also mattered for job losses.We find that 71.7 percent of workers that could work from home effectively did so in May.
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Citations
Cited by
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Dingel, J. I., & Neiman, B. (2020) · Journal of Public Economics · doi:10.1016/j.jpubeco.2020.104235 · Cited by 2,055
How Many Jobs Can be Done at Home?
Dingel, J., & Neiman, B. (2020) · National Bureau of Economic Research · doi:10.3386/w26948 · Cited by 422
Global supply chains in the pandemic
Bonadio, B., Huo, Z., Levchenko, A. A., & Pandalai-Nayar, N. (2021) · Journal of International Economics · doi:10.1016/j.jinteco.2021.103534 · Cited by 396
Brem, A., Viardot, E., & Nylund, P. A. (2021) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2020.120451 · Cited by 389
The Donut Effect of Covid-19 on Cities
Ramani, A., & Bloom, N. (2021) · National Bureau of Economic Research · doi:10.3386/w28876 · Cited by 293
Why Working From Home Will Stick
Barrero, J. M., Bloom, N., & Davis, S. J. (2020) · doi:10.31235/osf.io/wfdbe · Cited by 68
Metadata
- Authors
- Arizona State University, Bick, A., Blandin, A., Virginia Commonwealth University, Mertens, K., & Dallas, F. R. B. O.
- Venue
- Federal Reserve Bank of Dallas, Working Papers
- Publisher
- Federal Reserve Bank of Dallas
- Published
- 2020-07
- Volume
- 2020
- Issue
- 2017
- OpenAlex
- W3121735433
- Cited by
- 239
- References
- 0
- FWCI
- 44.73
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
