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: 20 May 2020

See all articles by William J. Luther

William J. Luther

Florida Atlantic University; American Institute for Economic Research

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

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 Forthcoming, Available at SSRN: https://ssrn.com/abstract=3596551 or http://dx.doi.org/10.2139/ssrn.3596551

William J. Luther (Contact Author)

Florida Atlantic University ( email )

777 Glades Road
Boca Raton, FL 33431
United States

HOME PAGE: http://www.wluther.com

American Institute for Economic Research ( email )

PO Box 1000
Great Barrington, MA 01230
United States

HOME PAGE: http://www.aier.org/staff/william-j-luther

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