We study the distributional consequences of the Covid-19 pandemic's impacts on employment, both during the onset of the pandemic and over recent months. Using cross-sectional and matched longitudinal data from the Current Population Survey, we show that the pandemic has exacerbated pre-existing...

Using data from the Current Population Surveys, we investigate the aggregate and distributional consequences of the Covid-19 pandemic and the associated public policy response on labor earnings and unemployment benefits in the United States up until February 2021. We find that year-on-year...

We argue that skill-biased technological change not only affects wage gaps between skill groups, but also increases wage inequality within skill groups, across workers in different workplaces. Building on a heterogeneous firm framework with labor market frictions, we show that an industry-wide...

Using data for nearly 40 cohorts of American college graduates and exploiting regional variation in economic conditions, we show robust evidence of a positive relationship between the unemployment rate at the time of college enrollment and subsequent annual earnings, particularly for women. This...

This paper offers the first study of job polarization in Great Britain using workplace level data. We document widespread and increasing occupational specialization within establishments, along with substantial heterogeneity in specialization within industries. Changes in the specialization...

This paper offers the first study of job polarization in Great Britain using workplace level data. We document widespread and increasing occupational specialization within establishments, along with substantial heterogeneity in specialization within industries. Changes in the specialization...

Using data from the Current Population Survey (CPS), we show that the COVID-19 pandemic led to a loss of aggregate real labor earnings of more than $250 billion between March and July 2020. By exploiting the panel structure of the CPS, we show that the decline in aggregate earnings was entirely...