When face-to-face interactions become an occupational hazard: Jobs in the time of COVID-19
By Besart Avdiu, Gaurav Nayyar. Economics Letters, 2020
123 citations recorded by the source corpus.
There is a crisis of demand brewing around the globe as social distancing becomes the norm to counter the COVID-19 outbreak. So, which parts of the economy are most in the line of fire? Looking at jobs that can be done at home or that require a high degree of face-to-face interactions with consumers can capture complementary but distinct mechanisms to assess this vulnerability. This paper uses data on 900 job titles from the Occupational Information Network (O*NET) database for the United States to demonstrate that there is substantial heterogeneity in vulnerability across industries, income groups, and gender. First, industries vary in whether they emphasize face-to-face interactions and home-based work and the two do not always go hand-in-hand. Second, occupations that are less amenable to home-based work are largely concentrated among the lower wage deciles. Third, a larger share of women's employment is accounted for by occupations that are intensive in face-to-face interactions.
Subfields: Economics and Econometrics
View Paper: https://www.semanticscholar.org/paper/acfb823a3eede53b108b106c4ddc4f1e2e0587a3
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In Economics and Econometrics
Citations in the corpus
- Who on Earth Can Work from Home? (2020, background): “As shown in the table, measures of ability to work from home (DN2020), face-to-face jobs (Avdiu and Nayyar 2020), or essential jobs (Fasani and Mazza 2020a) are strongly correlated with actual COVID-induced job losses. Among them the DN2020 measure adjusted for internet access has the highest predic”