The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Unemployment Effects of Stay-at-Home Orders: Evidence from High-Frequency Claims Data
Open accessAbstract
We use the high-frequency, decentralized implementation of stay-at-home (SAH) orders in the United States to disentangle the labor market effects of SAH orders from the general economic disruption wrought by the COVID-19 pandemic. We find that each week of SAH exposure increased a state's weekly initial unemployment insurance (UI) claims by 1.9% of its employment level relative to other states. A back-of-the-envelope calculation implies that of the 17 million UI claims between March 14 and April 4, only 4 million were attributable to SAH orders. We present a currency union model to provide conditions for mapping this estimate to aggregate employment losses.
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Cites
Solon, G., Haider, S. J., & Wooldridge, J. M. (2015) · Journal of Human Resources · doi:10.3368/jhr.50.2.301 · Cited by 1,367
Labor Markets During the COVID-19 Crisis: A Preliminary View
Coibion, O., Gorodnichenko, Y., & Weber, M. (2020) · doi:10.3386/w27017 · Cited by 737
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The COVID-19 Pandemic and its Effect on Mental Health in USA—A Review with Some Coping Strategies
Bhattacharjee, B., & Acharya, T. (2020) · Psychiatric Quarterly · doi:10.1007/s11126-020-09836-0 · Cited by 115
Effectiveness of Localized Lockdowns in the COVID-19 Pandemic
Li, Y., Undurraga, E. A., & Zubizarreta, J. R. (2020) · doi:10.1101/2020.08.25.20182071 · Cited by 58
Metadata
- Authors
- Baek, C., McCrory, P. B., Messer, T., & Mui, P.
- Venue
- The Review of Economics and Statistics
- Publisher
- MIT Press - Journals
- Published
- 2021-11-30
- Volume
- 103
- Issue
- 5
- Pages
- 979-993
- ISSN
- 0034-6535 (ISSN-L)
- 1530-9142
- OpenAlex
- W3095116636
- Cited by
- 165
- References
- 2
- FWCI
- 26.75
- Type
- journal article
- Language
- en
- Open access
- green
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- Baek, C., McCrory, P. B., Messer, T., & Mui, P. (2021). Unemployment Effects of Stay-at-Home Orders: Evidence from High-Frequency Claims Data. The Review of Economics and Statistics. https://doi.org/10.1162/rest_a_00996
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