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...

The COVID-19 pandemic instigated a big shift in working arrangements. I first describe the scale of this shift in the United States, drawing on the Survey of Working Arrangements and Attitudes and other sources. I then review differences, circa 2023, in work-from-home rates across industries,...

Balancing the demands of work and schooling is a challenging task for an increasing number of students who have to pay their way through college and for workers who intend to upgrade their skills. However, flexible learning and working environments could play an important role in easing many...