We expand the analysis of cyclical changes in labor demand by decomposing changes along the intensive margin into those in days/week and in hours/day. Using large cross sections of U.S. data, 1985-2018, we observe around ¼ of the adjustment in weekly hours occurring through changing days/week....

Using Current Population Survey data, I demonstrate a 15-percentage point wage disadvantage among academics compared to all other doctorate-holders with the same demographics. Time-diary data show that academics' workhours are distributed more evenly over the week and day, although their total...

We examine the timing of firms' operations in a formal model of labor demand. Merging a variety of data sets from Portugal from 1995-2004, we describe temporal patterns of firms' demand for labor and estimate production-functions and relative labor-demand equations. The results demonstrate the...

We measure the impact of measurement error in labor-supply elasticities estimated over recalled usual work hours, as is ubiquitous in the literature. Employing hours of work in diaries collected by the American Time Use Survey, 2003-12, along with the same respondents' recalled usual hours, we...

We examine work patterns 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, with 8 million additional four-day workers. Similar growth occurred in the Netherlands,...

Using the American Time Use Survey (ATUS) 2003-12, we estimate time spent by workers in non-work while on the job. Non-work time is substantial and varies positively with the local unemployment rate. While the average time spent by workers in non-work conditional on any positive non-work rises...

American workweeks are long compared to other rich countries'. Much less well-known is that Americans are more likely to work at night and on weekends. We examine the relationship between these two phenomena using the American Time Use Survey and time-diary data from 5 other countries. Adjusting...

We examine monthly variation in weekly work hours using data for 2003-10 from the Current Population Survey (CPS) on hours/worker, from the Current Employment Survey (CES) on hours/job, and from the American Time Use Survey (ATUS) on both. The ATUS data minimize recall difficulties and constrain...