Search Results
Are Higher Child Care Wages Affecting the Labor Supply?
An analysis suggests that a rebound in labor force participation among women with a partner and child could have been stronger during the pandemic if not dampened by child care costs.
Working Paper
The Rapid Adoption of Generative AI
Generative Artificial Intelligence (AI) is a potentially important new technology, but its impact on the economy depends on the speed and intensity of adoption. This paper reports results from the first nationally representative U.S. survey of generative AI adoption at work and at home. In August 2024, 39 percent of the U.S. population age 18-64 used generative AI. More than 24 percent of workers used it at least once in the week prior to being surveyed, and nearly one in nine used it every workday. Historical data on usage and mass-market product launches suggest that U.S. adoption of ...
Working Paper
Structural Change in Labor Supply and Cross-Country Differences in Hours Worked
This paper studies how structural change in labor supply along the development spectrum shapes cross-country differences in hours worked. We emphasize two main forces: sectoralreallocation from self-employment to wage work, and declining fixed costs of wage work. We show that these forces are crucial for understanding how the extensive margin (the employment rate) and intensive margin (hours per worker) of aggregate hours worked vary with income per capita. To do so we build and estimate a quantitative model of labor supply featuring a traditional self-employment sector and a modern ...
Working Paper
Work from Home Before and After the COVID-19 Outbreak
Based on novel survey data, we document the evolution of commuting behavior in the U.S. over the course of the COVID-19 pandemic. Work from home (WFH) increased sharply and persistently after the outbreak, and much more so among some workers than others. Using theory and evidence, we argue that the observed heterogeneity in WFH transitions is consistent with potentially more permanent changes to work arrangements in some occupations, and not just temporary substitution in response to greater health risks. Consistent with increased WFH adoption, many more – especially higher-educated – ...
Working Paper
Measuring Trends in Work From Home: Evidence from Six U.S. Datasets
This paper documents the prevalence of work from home (WFH) in six U.S. data sets. These surveys measure WFH using different questions, reference periods, samples, and survey collection methods. Once we construct samples and WFH measures that are comparable across surveys, all surveys broadly agree about the trajectory of aggregate WFH since the Covid-19 outbreak. The surveys agree that pre-pandemic differences in WFH rates by sex, education, and state of residence expanded following the Covid-19 outbreak. The surveys also show similar post-pandemic trends in WFH by firm size and industry. ...
The Impact of Generative AI on Work Productivity
Workers using generative AI reported they saved 5.4% of their work hours in the previous week, which suggests a 1.1% increase in productivity for the entire workforce.
The Recent Surge in Immigration and Its Impact on Unemployment
The number of people who recently immigrated to the U.S. varies greatly among data sources. What might an undercount in recent immigrants mean for the U.S. unemployment rate?
Working Paper
Hours Worked and Lifetime Earnings Inequality
We document large differences in lifetime hours of work using data from the NLSY79 and argue that these differences are an important source of inequality in lifetime earnings. To establish this we develop and calibrate a rich heterogeneous agent model of labor supply and human capital accumulation that allows for heterogeneity in preferences for work, initial human capital and learning ability, as well as idiosyncratic shocks to human capital throughout the life-cycle. Our calibrated model implies that almost 20 percent of the variance in lifetime earnings is accounted for by differences in ...
Working Paper
Work from Home After the COVID-19 Outbreak
Based on rich novel survey data, we document that 35.2 percent of the US workforce worked entirely from home in May 2020, up from 8.2 percent in February. Highly educated, high-income and white workers were more likely to shift to working from home and maintain employment following the pandemic. Individuals working from home daily before the pandemic lost employment at similar rates as daily commuters. This suggests that, apart from the potential for home-based work, demand conditions also mattered for job losses. We find that 71.7 percent of workers that could work from home effectively did ...
Commuting Patterns During COVID-19 Endure; Minorities Less Likely to Work from Home
Some workers transitioned to working from home relatively easily. In many jobs, however, performing regular work activities from home is impossible, forcing many individuals to become inactive or look for a new job.