We provide the first systematic account of summer declines in women's labor market activity. From May to July, the employment-to-population ratio among prime-age US women declines by 1.1 percentage points, whereas male employment rises; women's total hours worked fall by 9.8 percent, more than...

Past work has documented significant occupational segregation between Black and white workers in the U.S. labor force. Little work, however, has examined racial occupational segregation in recent years or by levels of education and then at the intersection of education and race. In this paper,...

We measure the impact of the initial Indian national COVID-19 lockdown on digital activity using browser histories of 1,094 individuals, spanning over 31.5 million website visits on computers and mobile devices. Reflecting the predicted increase in the value of online activity, both men and...

I demonstrate that the profound change in working from home (WFH) in the wake of the COVID-19 pandemic is concentrated among individuals with college degrees. Relative to 2015-19, the number of minutes worked from home on fall 2021 weekdays increased by over 90 minutes for college graduates; for...

A growing literature explores the impact of home-based versus office-based work. Differences in productivity may arise due to a treatment effect of the office or from workers with different abilities sorting into office or home work. We conduct an RCT in the data entry sector in India that...

We examine the impact of Artificial Intelligence (AI) on productivity in the context of taxi drivers. The AI we study assists drivers with finding customers by suggesting routes along which the demand is predicted to be high. We find that AI improves drivers' productivity by shortening the...

We document a robust negative relationship between mean annual hours in an occupation and the dispersion of annual hours within that occupation. We study a unified model of occupational choice and labor supply that features heterogeneity across occupations in the return to working additional...

We investigate the potential for Large Language Models (LLMs) to enhance scientific practice within experimentation by identifying key areas, directions, and implications. First, we discuss how these models can improve experimental design, including improving the elicitation wording, coding...

We use a longitudinal dataset measuring beliefs and behaviors to study the dynamics of model - or narrative - adoption during the Covid-19 pandemic. We show that individuals switch beliefs about the effectiveness of preventive behaviors following changes in perceived risk. The adoption of...

We measure individual-level loss aversion using three incentivized, representative surveys of the U.S. population (combined N=3,000). We find that around 50% of the U.S. population is loss tolerant, with many participants accepting negative-expected-value gambles. This is counter to earlier...