Behavioral and Policy Responses to COVID-19: Evidence from Google Mobility Data on State-Level Stay-at-Home Orders
34 Pages Posted: 11 May 2020 Last revised: 18 Sep 2020
Date Written: May 8, 2020
Abstract
In early 2020, many states issued stay-at-home orders to slow the spread of COVID-19. I analyze Google Mobility data to consider the extent to which state-level stay-at-home orders induced people to stay at home. I find that much of the change in residential, retail and recreational, park, workplace, transit station, and, to a lesser extent, grocery and pharmacy activity preceded state-level stay-at- home orders.
Keywords: coronavirus, COVID-19, disease, stay-at-home order, pandemic, virus
JEL Classification: E73, H75, E77, I12, I18
Suggested Citation: Suggested Citation
Luther, William J., Behavioral and Policy Responses to COVID-19: Evidence from Google Mobility Data on State-Level Stay-at-Home Orders (May 8, 2020). AIER Sound Money Project Working Paper No. 2020-06, Available at SSRN: https://ssrn.com/abstract=3596551 or http://dx.doi.org/10.2139/ssrn.3596551
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