Search Results
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.
Real-Time Population Survey Suggests U.S. Job Losses Slowed in Early May
Survey results for the week of May 10 suggest further declines in employment and an increase in unemployment relative to the week of April 26 – May 2, though both changes are within the survey’s margin of error.
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
Work from Home and Migration
We study how full-time work from home (WFH) affects migration and economic activity across cities. Using ACS and novel survey data, we show WFH workers migrate 40–50 percent more than comparable commuters, commuters who switch to WFH migrate more, plausibly exogenous WFH expansions raise migration and WFH workers migrate to lower-cost cities than commuters. The post-Covid expansion in WFH coincided with a large increase in migration; WFH accounts for half of this increase and much of the cross-city variation in migration changes. Recently, WFH has stabilized at twice its pre-Covid rate. We ...
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 ...
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
Work from Home After the COVID-19 Outbreak
Based on rich novel survey data on almost 5,000 working age adults, we document that 35.2 percent of the workforce worked entirely from home in May 2020, up from 8.2 percent in February 2020. Highly educated, high-income and white individuals were much more likely to shift to remote work and to maintain employment following the virus outbreak. Using available estimates of the potential number of home-based workers suggests that a large majority (71.7 percent) of U.S. workers that could work from home, effectively did so in May. We provide some evidence indicating that apart from the potential ...
Working Paper
The Labor Market Impact of a Pandemic: Validation and Application of a Do-It-Yourself CPS
The Current Population Survey (CPS) is a central source of U.S. labor market data. We show that, for a few thousand dollars, researchers can quickly design and implement their own online survey to supplement the CPS. The survey closely follows core features of the CPS, ensuring that outcomes are conceptually compatible and allowing researchers to weight and validate results using the official CPS. Yet the survey also allows for faster data collection, added flexibility and novel questions. We show that the survey provided useful estimates of U.S. labor market aggregates several weeks ahead of ...
Journal Article
Heterogeneity in Work from Home: Evidence from Six U.S. Datasets
This article documents heterogeneity in work from home (WFH) using six nationally representative U.S. surveys. These surveys show consistent patterns indicating 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 find that an industry’s WFH potential was highly correlated with actual WFH during the first year or two of the COVID-19 pandemic. However, this correlation was much weaker before and after, suggesting that WFH potential ...
Journal Article
Measuring Trends in Work from Home: Evidence from Six U.S. Datasets
This article documents the prevalence of work from home (WFH) using six nationally representative U.S. surveys. These surveys measure WFH using different questions, reference periods, samples, and survey collection methods. After constructing comparable samples and WFH measures across surveys, we find that the surveys show broadly similar trends in the trajectory of aggregate WFH since the COVID-19 outbreak. The most important source of disagreement in WFH levels across surveys is in WFH by self-employed workers; by contrast, WFH rates for employees are closely aligned across surveys. All ...