The usual suspects: do risk tolerance, altruism, and health predict the response to COVID-19?
Ketki Sheth and
Greg C. Wright ()
Additional contact information
Greg C. Wright: University of California
Review of Economics of the Household, 2020, vol. 18, issue 4, No 7, 1052 pages
Abstract We survey college students during California’s stay-at-home order to test whether compliance with social distancing requirements depends on primary preferences and characteristics that affect their marginal benefit from doing so. We find a quarter of students violated the order. Yet, neither risk preference, altruism, nor preexisting health conditions were predictive of compliance. Our findings raise doubt about the efficiency of minimally enforced social distancing policies, as well as commonly assumed motivations for compliance. Our results also imply that those with preexisting health conditions may not voluntarily comply, resulting in higher health care congestion than otherwise expected.
Keywords: COVID-19; Risk; Altruism; Health (search for similar items in EconPapers)
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1) Track citations by RSS feed
Downloads: (external link)
http://link.springer.com/10.1007/s11150-020-09515-w Abstract (text/html)
Access to full text is restricted to subscribers.
Working Paper: The Usual Suspects: Does Risk Tolerance, Altruism, and Health Predict the Response to Covid-19? (2020)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:kap:reveho:v:18:y:2020:i:4:d:10.1007_s11150-020-09515-w
Ordering information: This journal article can be ordered from
http://www.springer. ... cs/journal/11150/PS2
Access Statistics for this article
Review of Economics of the Household is currently edited by Shoshana Grossbard
More articles in Review of Economics of the Household from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().