The Roy-Borjas model predicts that international migrants are less educated than nonmigrants because the returns to education are generally higher in developing (migrant-sending) than in developed (migrant-receiving) countries. However, empirical evidence often shows the opposite. Using the case of Mexico-U.S. migration, we show that this inconsistency between predictions and empirical evidence can be resolved when the human capital of migrants is assessed using a two-dimensional measure of occupational skills rather than by educational attainment. Thus, focusing on a single skill dimension when investigating migrant selection can lead to misleading conclusions about the underlying economic incentives and behavioral models of migration.

Ein Großteil der Jugendlichen in Deutschland beginnt nach der Schule eine duale Berufsausbildung. Die Inhalte dieser Berufsausbildungen und die dort vermittelten Kompetenzen sind bundesweit einheitlich in Ausbildungsplänen geregelt. Wir erfassen insgesamt mehr als 13 000 verschiedene Kompetenzen aus diesen Ausbildungsplänen, sowie deren genaue Lerndauer. Vor allem kognitive, soziale und digitale Kompetenzen, die während der Ausbildung erworben wurden, zahlen sich auf dem Arbeitsmarkt aus. Dabei steigen die Einkommenserträge höherer Kompetenzen über die Karriere hinweg an. Das zeigt unsere Analyse der Ausbildungsplandaten kombiniert mit administrativen Lohndaten des Instituts für Arbeitsmarkt- und Berufsforschung (IAB) über einen Zeitraum von insgesamt 30 Jahren. Außerdem dokumentieren wir steigende Erträge von digitalen und sozialen Kompetenzen seit den 1990er Jahren, während die Erträge von kognitiven Kompetenzen nur geringfügig zugenommen haben.

The standard economic model of occupational choice following a basic Roy model emphasizes individual selection and comparative advantage, but the sources of comparative advantage are not well understood. We employ a unique combination of Dutch survey and registry data that links math and language skills across generations and permits analysis of the intergenerational transmission of comparative skill advantages. Exploiting within-family between-subject variation in skills, we show that comparative advantages in math of parents are significantly linked to those of their children. A causal interpretation follows from a novel IV estimation that isolates variation in parent skill advantages due to their teacher and classroom peer quality. Finally, we show the strong influence of family skill transmission on children’s choices of STEM fields.

It is well established that female students perform better when taught by female professors. However, little is known about the mechanisms explaining these gender match effects. Using administrative records from a German public university, which cover all programs and courses between 2006 and 2018, we show that gender match effects are sizable in smaller classes, but are absent in larger classes. These results suggest that direct and frequent interactions between students and professors are crucial for gender match effects to emerge. In contrast, the mere fact that one’s professor is female is not sufficient to increase performance of female students.