The DOI matches its Crossref record; 39 of the 39 references it cites were found in a registry or an index.
Polarization and Public Health: Partisan Differences in Social Distancing during the Coronavirus Pandemic
Abstract
We study partisan differences in Americans' response to the COVID-19 pandemic.Political leaders and media outlets on the right and left have sent divergent messages about the severity of the crisis, which could impact the extent to which Republicans and Democrats engage in social distancing and other efforts to reduce disease transmission.We develop a simple model of a pandemic response with heterogeneous agents that clarifies the causes and consequences of heterogeneous responses.We use location data from a large sample of smartphones to show that areas with more Republicans engaged in less social distancing, controlling for other factors including public policies, population density, and local COVID cases and deaths.We then present new survey evidence of significant gaps at the individual level between Republicans and Democrats in self-reported social distancing, beliefs about personal COVID risk, and beliefs about the future severity of the pandemic.
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Cites
The Origins and Consequences of Affective Polarization in the United States
Iyengar, S., Lelkes, Y., Levendusky, M., Malhotra, N., & Westwood, S. J. (2019) · Annual Review of Political Science · doi:10.1146/annurev-polisci-051117-073034 · Cited by 3,603
Development of gridded surface meteorological data for ecological applications and modelling
Abatzoglou, J. T. (2013) · International Journal of Climatology · doi:10.1002/joc.3413 · Cited by 1,916
Demographic and attitudinal determinants of protective behaviours during a pandemic: A review
Bish, A., & Michie, S. (2010) · British Journal of Health Psychology · doi:10.1348/135910710x485826 · Cited by 1,227
Partisanship, health behavior, and policy attitudes in the early stages of the COVID-19 pandemic
Gadarian, S. K., Goodman, S. W., & Pepinsky, T. B. (2021) · PLOS ONE · doi:10.1371/journal.pone.0249596 · Cited by 744
Partisan bias in factual beliefs about politics
Bullock, J. G., Gerber, A. S., Hill, S. J., & Huber, G. A. (2015) · Quarterly Journal of Political Science · doi:10.1561/100.00014074 · Cited by 686
Same Facts, Different Interpretations: Partisan Motivation and Opinion on Iraq
Gaines, B. J., Kuklinski, J. H., Quirk, P. J., Peyton, B., & Verkuilen, J. (2007) · The Journal of Politics · doi:10.1111/j.1468-2508.2007.00601.x · Cited by 683
Pandemic Preparedness and Response — Lessons from the H1N1 Influenza of 2009
Fineberg, H. V. (2014) · New England Journal of Medicine · doi:10.1056/nejmra1208802 · Cited by 562
Effective Health Risk Communication About Pandemic Influenza for Vulnerable Populations
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Mobility network models of COVID-19 explain inequities and inform reopening
Chang, S., Pierson, E., Koh, P. W., Gerardin, J., Redbird, B., Grusky, D., & Leskovec, J. (2021) · Nature · doi:10.1038/s41586-020-2923-3 · Cited by 1,533
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
Trust and compliance to public health policies in times of COVID-19
Bargain, O., & Aminjonov, U. (2020) · Journal of Public Economics · doi:10.1016/j.jpubeco.2020.104316 · Cited by 917
Labor Markets During the COVID-19 Crisis: A Preliminary View
Coibion, O., Gorodnichenko, Y., & Weber, M. (2020) · doi:10.3386/w27017 · Cited by 737
Gollwitzer, A., Martel, C., Brady, W. J., Pärnamets, P., Freedman, I. G., Knowles, E. D., & Van Bavel, J. J. (2020) · Nature Human Behaviour · doi:10.1038/s41562-020-00977-7 · Cited by 609
Metadata
- Authors
- Allcott, H., Boxell, L., Conway, J., Gentzkow, M., Thaler, M., & Yang, D.
- Venue
- National Bureau of Economic Research
- Publisher
- National Bureau of Economic Research
- Published
- 2020-04
- OpenAlex
- W4250401101
- Cited by
- 382
- References
- 39
- Type
- report
- Language
- en
- Open access
- closed
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- Allcott, H., Boxell, L., Conway, J., Gentzkow, M., Thaler, M., & Yang, D. (2020). Polarization and Public Health: Partisan Differences in Social Distancing during the Coronavirus Pandemic. National Bureau of Economic Research. https://doi.org/10.3386/w26946
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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.
