Abstract
Leveraging county-level exogenous variation in the agricultural origins of time preferences, identified by Galor and Ozak (2016), we measure the causal effects of long-term orientation traits on mobility behavior and COVID-19 infection rates from 22 January 2020 to 30 November 2020 in the United States. County-level variations in the prevalence of long-term orientation traits with bio-geographical origins causally reduce the COVID-19 infection rate. Mobility indicators obtained from Apple and Google mobility reports show that a lower prevalence of long-term orientation traits explains resistance to social distancing behavior three months post-declaration of a national emergency in response to coronavirus.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
