The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Does Social Distancing Matter?
Open accessAbstract
This paper develops and implements a method to monetize the impact of moderate social distancing on deaths from COVID-19. Using the Ferguson et al. (2020) simulation model of COVID-19’s spread and mortality impacts in the United States, we project that 3-4 months of moderate distancing beginning in late March 2020 would save 1.7 million lives by October 1. Of the lives saved, 630,000 are due to avoided overwhelming of hospital intensive care units. Using the projected age-specific reductions in death and age-varying estimates of the United States Government’s value of a statistical life, we find that the mortality benefits of social distancing are about $8 trillion or $60,000 per US household. Roughly 90% of the monetized benefits are projected to accrue to people age 50 or older. Overall, the analysis suggests that social distancing initiatives and policies in response to the COVID-19 epidemic have substantial economic benefits.
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Cites
The value of a statistical life: A critical review of market estimates throughout the world
Viscusi, W. K., & Aldy, J. E. (2003) · Journal of Risk and Uncertainty · doi:10.1023/a:1025598106257 · Cited by 2,135
Cited by
A literature review of the economics of COVID-19
Brodeur, A., Gray, D., Islam, A., & Bhuiyan, S. (2021) · Journal of Economic Surveys · doi:10.1111/joes.12423 · Cited by 976
“Greenstone and Nigam (2020) project that 3 to 4 months of adherence to social distancing regulations would reduce the number of cases in the United States by 1.7 million by October of 2021, 630,000 of which would translate into averted overcrowding of ICUs in hospitals.”
BackgroundInfluentialInternal and External Effects of Social Distancing in a Pandemic
Farboodi, M., Jarosch, G., & Shimer, R. (2020) · doi:10.3386/w27059 · Cited by 270
The economic value of targeting aging
Scott, A. J., Ellison, M., & Sinclair, D. A. (2021) · Nature Aging · doi:10.1038/s43587-021-00080-0 · Cited by 267
Odekerken-Schröder, G., Mele, C., Russo-Spena, T., Mahr, D., & Ruggiero, A. (2020) · Journal of Service Management · doi:10.1108/josm-05-2020-0148 · Cited by 212
The Fiscal and Welfare Effects of Policy Responses to the Covid-19 School Closures
Fuchs-Schündeln, N., Krueger, D., Kurmann, A., Lalé, E., Ludwig, A., & Popova, I. (2023) · IMF Economic Review · doi:10.1057/s41308-022-00196-2 · Cited by 33
The Fiscal and Welfare Effects of Policy Responses to the Covid-19 School Closures
Fuchs-Schündeln, N., Krueger, D., Kurmann, A., Lalé, E., Ludwig, A., & Popova, I. (2021) · doi:10.3386/w29398 · Cited by 32
Ruiz-Frutos, C., Delgado-García, D., Ortega-Moreno, M., Duclos-Bastías, D., Escobar-Gómez, D., García-Iglesias, J. J., & Gómez-Salgado, J. (2021) · Journal of Clinical Medicine · doi:10.3390/jcm10215137 · Cited by 9
Metadata
- Authors
- Greenstone, M., & Nigam, V.
- Venue
- SSRN Electronic Journal
- Publisher
- Elsevier BV
- Published
- 2020
- ISSN
- 1556-5068 (ISSN-L)
- OpenAlex
- W3013252066
- Cited by
- 392
- References
- 1
- Type
- posted content
- Language
- en
- Open access
- green
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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