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Long Social Distancing

Authors: Barrero, Jose Maria; Bloom, Nicholas; Davis, Steven J.;

Long Social Distancing

Abstract

More than ten percent of Americans with recent work experience say they will continue social distancing after the COVID-19 pandemic ends, and another 45 percent will do so in limited ways. We uncover this Long Social Distancing phenomenon in our monthly Survey of Working Arrangements and Attitudes. It is more common among older persons, women, the less educated, those who earn less, and in occupations and industries that require many face-to-face encounters. People who intend to continue social distancing have lower labor force participation – unconditionally, and conditional on demographics and other controls. Regression models that relate outcomes to intentions imply that Long Social Distancing reduced participation by 2.5 percentage points in the first half of 2022. Separate self- assessed causal effects imply a reduction of 2.0 percentage points. The impact on the earnings-weighted participation rate is smaller at about 1.4 percentage points. This drag on participation reduces potential output by nearly one percent and shrinks the college wage premium. Economic reasoning and evidence suggest that Long Social Distancing and its effects will persist for many months or years.

Country
United States
Keywords

Social distancing, Economics, J21, J22, Social and Behavioral Sciences, D12, self- assessed causal effects, LABOR MARKET ISSUES, potential output, long COVID, self-assessed causal effects, J14, ddc:330, pandemic, Wages, social distancing, COVID-19, age-wage profile, labor force participation, health insurance and other benefits, Labor Economics, infection worries, E24, college wage premium

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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
13
Top 10%
Top 10%
Top 10%
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