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Trends in Work from Home in the U.S.: Insights from Six Datasets
An analysis of survey data finds that WFH remains elevated from prepandemic levels, suggesting remote work is an enduring feature of the U.S. workforce.
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.
Working Paper
Equilibrium with Mutual Organizations in Adverse Selection Economies
An equilibrium concept in the Debreu (1954) theory-of-value tradition is developed for a class of adverse selection economies and applied to the Spence signaling and Rothschild-Stiglitz (1976) adverse selection environments. The equilibrium exists and is optimal. Further, all equilibria have the same individual type utility vector. The economies are large with a finite number of types that maximize expected utility on an underlying commodity space. An implication of the analysis is that the invisible hand works for this class of adverse selection economies.
Working Paper
Heterogeneity in Work From Home: Evidence from Six U.S. Datasets
This paper documents heterogeneity in work from home (WFH) across six U.S. data sets. These 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. We show that an industry's WFH potential was highly correlated with actual WFH during the first year or two of the Covid-19 pandemic, but that this correlation was much weaker before and after the pandemic, suggesting that WFH potential is a necessary but not sufficient ...
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 Impact of Work from Home on Interstate Migration in the U.S.
An analysis of work patterns suggests that the rise in interstate migration since 2020 has largely been the result of an increased share of people working from home.
Working Paper
Work from Home and Interstate Migration
Interstate migration by working-age adults in the US declined substantially during the Great Recession and remained subdued through 2019. We document that interstate migration rose sharply following the 2020 Covid-19 outbreak, nearly recovering to pre-Great recession levels, and provide evidence that this reversal was primarily driven by the rise in work from home (WFH). Before the pandemic, interstate migration by WFH workers was consistently 50% higher than for commuters. Since the Covid-19 outbreak, this migration gap persisted while the WFH share tripled. Using quasi-panel data and ...
Working Paper
After 40 Years, How Representative Are Labor Market Outcomes in the NLSY79?
In 1979, the National Longitudinal Study of Youth 1979 (NLSY79) began following a group of US residents born between 1957 and 1964. It has continued to re-interview these same individuals for more than four decades. Despite this long sampling period, attrition remains modest. This paper shows that after 40 years of data collection, the remaining NLYS79 sample continues to be broadly representative of their national cohorts with regard to key labor market outcomes. For NLSY79 age cohorts, life-cycle profiles of employment, hours worked, and earnings are comparable to those in the Current ...
Working Paper
Work from Home Before and After the COVID-19 Outbreak
Based on novel survey data, we document a persistent rise in work from home (WFH) over the course of the COVID-19 pandemic. Using theory and direct survey evidence,we argue that three quarters of this increase reflects adoption of new work arrangements that will likely be permanent for many workers. A quantitative model matched to surveydata predicts that twice as many workers will WFH full-time post-pandemic compared to pre-pandemic, and that one in every five instead of seven workdays will be WFH. These model predictions are consistent with survey evidence on workers' own expectations about ...
Work More, Make Much More? The Relationship between Lifetime Hours Worked and Lifetime Earnings
An analysis suggests that the hours that male workers spend on the job over a career is associated with both higher lifetime earnings and higher earnings growth.