Guido Matias Cortes

Using data from the Current Population Survey’s Education Supplement for 1977-2023, we explore two important, yet understudied facets of the pattern of countercyclical post-secondary education (PSE) enrollment in the U.S. First, we show that economic downturns are associated with higher enrollment probabilities at both 2- and 4-year colleges among young men, but only at 2-year institutions among young women. Second, we show that the overall increase in enrollment propensities during downturns is primarily driven by persistence (i.e., changes in enrollment among individuals with prior PSE participation), rather than matriculation (i.e., new enrollments). However, higher unemployment rates increase matriculation probabilities at 2-year colleges among 18-year-old men and women, and at 4-year colleges among individuals in their early 20s. Our findings improve our understanding of the dimensions along which aggregate economic fluctuations induce changes in human capital acquisition.

Wage inequality has risen in many countries over recent decades. At the same time, production has become increasingly concentrated in a small number of firms. In this paper, we show that these two phenomena are linked. Theoretically, we show that an increase in consumer price sensitivity will lead to an increase in the sectoral concentration of revenues and employment, as well as an increase in wage dispersion between firms within industries. Empirically, we use industry‐level data from 14 European countries over the period 1999–2016 and show robust evidence of a positive and statistically significant correlation between concentration and between‐firm wage inequality. We show that this is driven by higher market shares and higher wages in high‐productivity firms within more concentrated sectors.

Using data from the Current Population Survey, we investigate the 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 changes in labor earnings for employed individuals were not atypical during the pandemic months, regardless of their initial position in the earnings distribution. The incidence of job loss, however, was substantially higher among low earners, leading to a dramatic increase in labor income inequality among the set of individuals who were employed prior to the onset of the pandemic. By providing very high replacement rates for individuals displaced from low-paying jobs, the initial public policy response was successful in reversing the regressive nature of the pandemic’s impacts. We estimate, however, that recipiency rates for displaced low earners were lower than for higher earners. Moreover, from September 2020 onwards, when policy changes led to a decline in benefit levels, earnings changes became less progressive.

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 positive relationship is not driven by selection into employment or by economic conditions at the time of labor market entry. It also cannot be explained by differential sorting into college majors or post-graduate education. Up to one third of the effect is accounted for by sorting towards more remunerative locations. The results are consistent with a behavioral change that induces individuals who experience bad economic times at the beginning of their studies to exert more effort toward obtaining higher paying jobs.

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 skill-biased technological change shock will increase between-firm wage inequality within the industry through four main channels: changes in the skill wage premium (as in traditional models of technological change); increased employment concentration in more productive firms; increased wage dispersion between firms for workers of the same skill type; and increased dispersion in the skill mix that firms employ, due to more sorting of skilled workers to more productive firms. Using rich administrative matched employer-employee data from Germany, we provide empirical evidence of establishment-level patterns that are in line with the predictions of the model. We further document that industries with more technological adoption exhibit particularly pronounced patterns along the dimensions highlighted by the model.

The authors study the distributional consequences of the COVID-19 pandemic’s impact on employment, both during the onset of the pandemic and over subsequent months. Using cross-sectional and matched longitudinal data from the Current Population Survey, they show that the pandemic has exacerbated pre-existing inequalities. Although employment losses have been widespread, they have been substantially larger—and more persistent—in lower-paying occupations and industries. Hispanics and non-White workers suffered larger increases in job losses, not only because of their over-representation in lower-paying jobs but also because of a disproportionate increase in their job displacement probability relative to non-Hispanic White workers with the same job background. Gaps in year-on-year job displacement probabilities between Black and White workers have widened over the course of the pandemic recession, both overall and conditional on pre-displacement occupation and industry. These gaps are not explained by state-level differences in the severity of the pandemic nor by the associated response in terms of mitigation policies. In addition, evidence suggests that older workers have been retiring at faster rates.

We document that, since 1980, higher paying occupations in the US have experienced increases in the importance of tasks requiring social skills compared to lower paying ones. Economic theory indicates that the occupational sorting of workers depends on their comparative advantage in performing occupational tasks. Hence, changes in the relative importance of tasks across occupations change sorting. We document that the increasing relative importance of social tasks in high-paying occupations can account for an important fraction of the increased sorting of women relative to men towards these occupations over recent decades.