We investigate the effect of the COVID-19 pandemic on labor activity using real-time data from millions of GitHub users around the world. We show that the pandemic triggered a sharp pattern of labor reallocation at both the global and regional level. Users were more likely to work on weekends...

Comparing measures of work time in the recall CPS-ASEC data with contemporaneous measures reveals many logical inconsistencies and probable errors. About 8 percent of ASEC respondents report weeks worked last year that contradict their current work histories in the Basic monthly interviews; the...

This paper uses a revealed preference approach applied to administrative data from Washington to document and characterize work-hour constraints. Workers have limited discretion over hours at a given employer, and there is substantial mismatch between workers who prefer long hours and employers...

We examine patterns of work in the U.S. from 1973-2018 with the novel focus on days per week, using intermittent CPS samples and one ATUS sample. Among full-time workers the incidence of four-day work tripled during this period, with over 8 million more full-time workers on four-day weeks. The...