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Author:Bick, Alexander 

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.
On the Economy

Journal Article
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 U.S. residents born between 1957 and 1964 and has continued to reinterview these same individuals for more than four decades. Despite this long sampling period, attrition remains modest. This article shows that after 40 years of data collection, the remaining NLSY79 sample continues to be broadly representative of their national cohorts regarding key labor market outcomes. For NLSY79 age cohorts, life-cycle profiles of employment, hours worked, and earnings are comparable to those in the Current ...
Review , Volume 107 , Issue 2 , Pages 1-50

Lower Immigration Projections Mean Lower Breakeven Employment Growth Estimates

As a result of lower projected growth in net immigration, the U.S. economy may need to create fewer jobs to keep the unemployment rate stable this year, according to this analysis.
On the Economy

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 Papers , Paper 2024-012

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 Papers , Paper 2024-023

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 a series of nationally representative U.S. surveys of generative AI use at work and at home. As of late 2024, nearly 40 percent of the U.S. population age 18-64 uses generative AI. 23 percent of employed respondents had used generative AI for work at least once in the previous week, and 9 percent used it every work day. Relative to each technology’s first mass-market product launch, work adoption of ...
Working Papers , Paper 2024-027

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 Papers , Paper 2024-024

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 Papers , Paper 2024-038

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.
On the Economy

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 Papers , Paper 2017

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