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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 ...
Discussion Paper
The (Modest) Rebound in Manufacturing Jobs
The United States lost 5.7 million manufacturing jobs between 2000 and 2010, reducing the nation?s manufacturing employment base by nearly a third. These job losses and their causes have been well documented in the popular press and in academic circles. Less well recognized is the modest yet significant rebound in manufacturing jobs that has been underway for several years. Indeed, employment in the manufacturing industry began to stabilize in 2010, and the nation has added nearly 1 million jobs since then. Although modest in magnitude, this uptick in manufacturing jobs represents the longest ...
Journal Article
Assessing Labor Market Conditions Using High-Frequency Data
When the COVID-19 pandemic struck in March 2020, the U.S. economy experienced a sharp, unexpected recession with large employment losses. The information on employment available from traditional data sources arrives with a lag and does not promptly reflect sudden changes in labor market conditions. In this article, we discuss how new high-frequency data from Homebase and Ultimate Kronos Group can offer critical information on the state of labor markets in real time. Using these datasets, we construct coincident employment indices to assess employment at a high frequency. Employment during the ...
Working Paper
Comparative Advantage and Moonlighting
We document three facts: (i) Higher educated workers are more likely to moonlight; (ii) conditional on education, workers with higher wages are less likely to moonlight; and (iii) the prevalence of moonlighting is declining over time for all education groups. We develop an equilibrium model of the labor market to explain these patterns. A dominating income effect explains the negative correlation of moonlighting with productivity in the cross section and the downward trend over time. A higher part-to-full time pay differential for skilled workers (a comparative advantage) explains the ...
Working Paper
Dynamic Responses to Immigration
I analyze the dynamic effects of immigration by estimating an equilibrium model of local labor markets in the US. The model includes firms in multiple cities and sectors which combine capital, skilled and unskilled labor in production, and forward-looking workers who choose their sector and location each period as a dynamic discrete choice. A counterfactual unskilled immigration inflow leads to an initial wage drop for unskilled workers and a wage increase for skilled workers. These effects dissipate rapidly as unskilled workers migrate away from heavily affected cities and workers shift ...
Working Paper
The Labor Market Impact of Covid-19 on Asian Americans
Asian Americans faced a disproportionately larger surge in unemployment rates than other racial and ethnic groups during the Covid-19 pandemic. While existing literature typically examines labor demand channels to explain this, we instead explore a labor supply channel. Our hypothesis is that Asian Americans are more cautious about Covid-19 infections and thus more selective about job opportunities, contributing to their higher unemployment rate than other groups. Analysis of cellphone data during the pandemic indicates that non-work mobility significantly decreased in areas with larger Asian ...
Working Paper
Recent Employment Growth in Cities, Suburbs, and Rural Communities
This paper uses a comprehensive source of yearly data to study private-sector labor demand across US counties during the past five decades. Our focus is on how employment levels and earnings relate to population density—that is, how labor markets in rural areas, suburbs, and cities have fared relative to one another. Three broad lessons emerge. First, the longstanding suburbanization of employment and population in cities with very dense urban cores essentially stopped in the first decade of the 21st century. For cities with less dense cores, however, the decentralization of employment ...
Working Paper
Using Payroll Processor Microdata to Measure Aggregate Labor Market Activity
We show that high-frequency private payroll microdata can help forecast labor market conditions. Payroll employment is perhaps the most reliable real-time indicator of the business cycle and is therefore closely followed by policymakers, academia, and financial markets. Government statistical agencies have long served as the primary suppliers of information on the labor market and will continue to do so for the foreseeable future. That said, sources of ?big data? are becoming increasingly available through collaborations with private businesses engaged in commercial activities that record ...
Working Paper
Firms, Skills, and Wage Inequality
We present a model with search frictions and heterogeneous agents that allows us to decompose the overall increase in US wage inequality in the last 30 years into its within- and between-firm and skill components. We calibrate the model to evaluate how much of the overall rise in wage inequality and its components is explained by different channels. Output distribution per firm-skill pair more than accounts for the observed increase over this period. Parametric identification implies that the worker-specific component is responsible for 85 percent of this, compared to 15 percent that is ...
Working Paper
Improving the Accuracy of Economic Measurement with Multiple Data Sources: The Case of Payroll Employment Data
This paper combines information from two sources of U.S. private payroll employment to increase the accuracy of real-time measurement of the labor market. The sources are the Current Employment Statistics (CES) from BLS and microdata from the payroll processing firm ADP. We briefly describe the ADP-derived data series, compare it to the BLS data, and describe an exercise that benchmarks the data series to an employment census. The CES and the ADP employment data are each derived from roughly equal-sized samples. We argue that combining CES and ADP data series reduces the measurement error ...