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dc.contributor.authorPapageorge, NW
dc.contributor.authorZahn, MV
dc.contributor.authorBelot, M
dc.contributor.authorvan den Broek-Altenburg, E
dc.contributor.authorChoi, S
dc.contributor.authorJamison, JC
dc.contributor.authorTripodi, E
dc.date.accessioned2020-12-07T08:50:03Z
dc.date.issued2021-01-14
dc.description.abstractGiven the role of human behavior in the spread of disease, it is of vital interest to understand what drives people to engage in or refrain from health-related behaviors during a pandemic. This paper examines factors associated with the adoption of self-protective health behaviors, such as social distancing and mask wearing, at the start of the Covid-19 pandemic in the United States. These behaviors not only reduce an individual’s own risk of infection, but also limit the spread of disease to others. Despite these dual benefits, universal adoption of these behaviors is not assured. We focus on the role of socioeconomic differences in explaining behavior, relying on data collected in the early stages of the Covid-19 pandemic (April 2020). The data include information on income, gender and race along with unique variables relevant to the current pandemic, such as work arrangements and housing quality. We find that higher income is associated with larger changes in self-protective behaviors. These gradients are partially explained by the fact that people with less income are more likely to report circumstances that make adopting self-protective behaviors more difficult, such as an inability to tele-work. Both in the U.S. and elsewhere, policies that assume universal compliance with self-protective measures—or that otherwise do not account for socioeconomic differences in the costs of doing so—are unlikely to be effective or sustainable.en_GB
dc.description.sponsorshipCreative-Pioneering Researchers Program, Seoul National Universityen_GB
dc.description.sponsorshipEuropean University Instituteen_GB
dc.identifier.citationPublished online 14 January 2021en_GB
dc.identifier.doi10.1007/s00148-020-00818-x
dc.identifier.urihttp://hdl.handle.net/10871/123928
dc.language.isoenen_GB
dc.publisherSpringer / European Society for Population Economics (ESPE)en_GB
dc.rights© The Author(s) 2021. Open Access. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/
dc.subjectCovid-19en_GB
dc.subjectincome inequalityen_GB
dc.subjectsocial-distancingen_GB
dc.subjecthousingen_GB
dc.subjectwork arrangementsen_GB
dc.subjectwork arrangementsen_GB
dc.titleSocio-demographic factors associated with self-protecting behavior during the Covid-19 pandemicen_GB
dc.typeArticleen_GB
dc.date.available2020-12-07T08:50:03Z
dc.identifier.issn0933-1433
dc.descriptionThis is the final version. Available on open access from Springer via the DOI in this recorden_GB
dc.descriptionAvailability of Data and Material: The data collected by Belot, Choi, J. Jamison, et al. (2020) are available to the public on OSFen_GB
dc.descriptionCode availability: The code that generates the analyses and figures presented in this paper are available upon request.en_GB
dc.identifier.journalJournal of Population Economicsen_GB
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_GB
dcterms.dateAccepted2020-12-08
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2020-12-08
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2020-12-05T11:15:50Z
refterms.versionFCDAM
refterms.dateFOA2021-01-15T10:52:13Z
refterms.panelCen_GB


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© The Author(s) 2021. Open Access. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/
Except where otherwise noted, this item's licence is described as © The Author(s) 2021. Open Access. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/