Behavioral and Policy Responses to COVID-19 : Evidence from Google Mobility Data on State-Level Stay-at-Home Orders

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

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Year of publication:	2020
Authors:	Luther, William J.
Publisher:	[S.l.] : SSRN
Subject:	Coronavirus \| Wirkungsanalyse \| Impact assessment \| Mobilität \| Mobility \| Konsumentenverhalten \| Consumer behaviour

Extent:	1 Online-Ressource (34 p)
Series:	AIER Sound Money Project Working Paper ; No. 2020-06
Type of publication:	Book / Working Paper
Language:	English
Notes:	Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments May 8, 2020 erstellt
Other identifiers:	10.2139/ssrn.3596551 [DOI]
Classification:	e73 ; H75 - State and Local Government: Health, Education, and Welfare ; e77 ; I12 - Health Production: Nutrition, Mortality, Morbidity, Substance Abuse and Addiction, Disability, and Economic Behavior ; I18 - Government Policy; Regulation; Public Health
Source:	ECONIS - Online Catalogue of the ZBW

Persistent link: https://www.econbiz.de/10014098014