The rise of the "gig economy" has attracted wide attention from both scholars and the popular media. Much of this attention has been devoted to jobs mediated through various online platforms. While non-traditional work arrangements have been a perennial subject of debate and study, the...

Using rich administrative tax data, we explore the effects of the introduction of online ridesharing platforms on entry, employment and earnings in the Taxi and Limousine Services industry. Ridesharing dramatically increased the pace of entry of workers into the industry. New entrants were more...

It is well known that the long-term unemployed fare worse in the labor market than the short-term unemployed, but less clear why this is so. One potential explanation is that the long-term unemployed are "bad apples" who had poorer prospects from the outset of their spells (heterogeneity)....

Using a large data set that links individual Current Population Survey (CPS) records to employer-reported administrative data, we document substantial discrepancies in basic measures of employment status that persist even after controlling for known definitional differences between the two data...

We develop a preliminary version of an Integrated Longitudinal Business Database (ILBD) that combines administrative records and survey data for all employer and nonemployer business units in the United States. Unlike other large-scale business databases, the ILBD tracks business transitions...

We estimate the effects of technology investments on the demand for skilled workers using longitudinally integrated employer-employee data from the U.S. Census Bureau's Longitudinal Employer-Household Dynamics Program infrastructure files spanning two Economic Censuses (1992 and 1997). We...

This paper exploits a new matched universal and longitudinal employer-employee database at the US Census Bureau to empirically investigate the link between firms' choice of worker mix and the implied relationships between productivity and wages. We particularly focus on the decision making...

We find that most of the rising between firm earnings inequality that dominates the overall increase in inequality in the U.S. is accounted for by industry effects. These industry effects stem from rising inter-industry earnings differentials and not from changing distribution of employment...

Most of the rise in overall earnings inequality is accounted for by rising between-industry dispersion from about ten percent of 4-digit NAICS industries. These thirty industries are in the tails of the earnings distribution, and are clustered especially in high-paying high-tech and low-paying...

Using longitudinal data on the location of mobile devices, we provide new evidence on the evolution of onsite work (OSW) over the course of the pandemic and its aftermath. We start with a large sample of individuals who, based on their mobile device activity, had a job at which they worked...