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Stay-At-Home Orders, Social Distancing and Trust

Abel Brodeur, Idaliya Grigoryeva and Lamis Kattan ()
Additional contact information
Idaliya Grigoryeva: Stanford University

No 13234, IZA Discussion Papers from Institute of Labor Economics (IZA)

Abstract: Better understanding whether and how communities respond to government decisions is crucial for policy makers and health officials in response to the COVID-19 pandemic. In this study, we document the socioeconomic determinants of COVID-19 stay-at-home orders' compliance in the U.S. Using cell phone data measuring changes in average distance traveled and non-essential visitation, we find that: stay-at-home orders reduce mobility by about 8­–10 percentage points; high-trust counties decrease their mobility significantly more than low-trust counties post-lockdown; and counties with relatively more self-declared democrats decrease significantly more their mobility. We also provide evidence that the estimated eeffct on compliance post-lockdown is especially large for trust in the press, and relatively smaller for trust in science, medicine or government.

Keywords: COVID-19; stay-at-home orders; social distancing; trust (search for similar items in EconPapers)
JEL-codes: H12 I12 I18 (search for similar items in EconPapers)
Pages: 32 pages
Date: 2020-05
New Economics Papers: this item is included in nep-hea, nep-mig and nep-soc
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Published - published in: Journal of Population Economics, 2021, 34 (4), 1321-1354

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Related works:
Journal Article: Stay-at-home orders, social distancing, and trust (2021) Downloads
Working Paper: Stay-at-Home Orders, Social Distancing and Trust (2021) Downloads
Working Paper: Stay-at-Home Orders, Social Distancing and Trust (2020) Downloads
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