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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.
Working Paper
Employer Reallocation During the COVID-19 Pandemic: Validation and Application of a Do-It-Yourself CPS
Economists have recently begun using independent online surveys to collect national labor market data. Questions remain over the quality of such data. This paper provides an approach to address these concerns. Our case study is the Real-Time Population Survey (RPS), a novel online survey of the US built around the Current Population Survey (CPS). The RPS replicates core components of the CPS, ensuring comparable measures that allow us to weight and rigorously validate our results using a high-quality benchmark. At the same time, special questions in the RPS yield novel information regarding ...
Working Paper
Hours and Wages
We document two robust features of the cross-sectional distribution of usual weekly hours and hourly wages. First, usual weekly hours are heavily concentrated around 40 hours, while at the same time a substantial share of total hours come from individuals who work more than 50 hours. Second, mean hourly wages are non-monotonic across the usual hours distribution, with a peak at 50 hours. We develop and estimate a model of labor supply to account for these features. The novel feature of our model is that earnings are non-linear in hours, with the extent of nonlinearity varying over the hours ...
Why Do WFH Workers Move?
Job opportunities have been a key reason why workers move to another state. What drives interstate migration for remote workers, who can do their jobs from anywhere?
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. ...
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
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 ...
The Rapid Adoption of Generative AI
An analysis suggests that generative AI has been quickly and widely adopted at home and in the workplace, with about 40% of the U.S. population ages 18 to 64 using it to some degree.
Real-Time Survey to Provide Timelier Labor Market Data in Era of COVID-19
An effective economic policy response to the rapidly evolving coronavirus (COVID-19) crisis requires timely and accurate information on its impact. To help reduce the information gap, we introduce the Real-Time Population Survey.