Working Paper: CEPR ID: DP14611
Authors: Lena Hensvik; Thomas Le Barbanchon; Roland Rathelot
Abstract: Which jobs are more likely to be affected by mobility restrictions due to the Covid-19 pandemic? This paper uses American Time Use Survey data to measure the share of the work hours that are spent at home for different job categories. We compute and provide home-working shares by occupation (US census classification, SOC and international ISCO classification), and by industry (US census classification, NAICS and international ISIC classification).
Keywords: homeworking; remote work; time-use; covid
JEL Codes: J22
Edges that are evidenced by causal inference methods are in orange, and the rest are in light blue.
| Cause | Effect |
|---|---|
| occupations (J44) | homeworking shares (D33) |
| industries (L89) | homeworking shares (D33) |
| high-skilled occupations (J24) | homeworking shares (D33) |
| lower-skilled jobs (F66) | homeworking shares (D33) |
| occupations + industries (L89) | homeworking shares (D33) |