This paper investigates the role played by informational frictions in college and the workplace. We estimate a dynamic structural model of schooling and work decisions, where individuals have imperfect information about their schooling ability and labor market productivity. We take into account the heterogeneity in schooling investments by distinguishing between two-and four-year colleges, graduate school, as well as science and non-science majors for four-year colleges. Individuals may also choose whether to work full-time, part-time, or not at all. A key feature of our approach is to account for correlated learning through college grades and wages, whereby individuals may leave or re-enter college as a result of the arrival of new information on their ability and productivity. Our findings indicate that the elimination of informational frictions would increase the college graduation rate by 9 percentage points, and would increase the college wage premium by 32.7 percentage points through increased sorting on ability.

We use standardized end-of-course knowledge assessments to examine student learning during the disruptions induced by the COVID-19 pandemic. Examining seven economics courses taught at four US R1 institutions, we find that students performed substantially worse, on average, in Spring 2020 when compared to Spring or Fall 2019. We find no evidence that the effect was driven by specific demographic groups. However, our results suggest that teaching methods that encourage active engagement, such as the use of small group activities and projects, played an important role in mitigating this negative effect. Our results point to methods for more effective online teaching as the pandemic continues.

We use standardized end-of-course knowledge assessments to examine student learning during the disruptions induced by the COVID-19 pandemic. Examining seven economics courses taught at four US R1 institutions, we find that students performed substantially worse, on average, in Spring 2020 when compared to Spring or Fall 2019. We find no evidence that the effect was driven by specific demographic groups. However, our results suggest that teaching methods that encourage active engagement, such as the use of small group activities and projects, played an important role in mitigating this negative effect. Our results point to methods for more effective online teaching as the pandemic continues.

We thank Christian Belzil, Michael Boehm, Flavio Cunha, Lance Lochner, Matt Masten and participants at various seminars and conferences for useful comments and discussions at various stages of this research. We especially wish to thank Vladislav Slanchev for providing us with a version of his statistical software for estimating dynamic discrete choice models with a latent factor error structure that we used in our structural analysis and for his generous assistance in adapting it to our context. Any remaining errors are ours. The views expressed herein are those of the authors and do not necessarily reflect the views of the National Bureau of Economic Research. NBER working papers are circulated for discussion and comment purposes. They have not been peer-reviewed or been subject to the review by the NBER Board of Directors that accompanies official NBER publications.

Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden. Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen. Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. ABSTRACT Do Foreigners Crowd Natives out of STEM Degrees and Occupations? Evidence from the U.S. Immigration Act of 1990This paper examines effects of the U.S. Immigration Act of 1990 on STEM (science, technology, engineering, and mathematics) degree completion and labor market outcomes for native-born Americans. The Act increased the in-flow and stock of foreign STEM workers in the U.S., both by increasing green card allotments and by expanding temporary work visas via the H-1B visa program. These policy changes potentially altered the relative desirability of various college majors and occupations for natives. We examine effects of the policy on STEM degree completion, STEM occupational choice, and employment rates separately for black and white males and females. We identify the effects using variation in natives' exposure to foreign STEM workers and the geographic dispersion in foreign-born STEM workers in 1980, which precedes the Act and predicts future foreign STEM flows. We find that the Immigration Act changed natives' skill investment and utilization in three ways: (1) it pushed black males out of STEM majors; (2) it pushed white male STEM graduates out of STEM occupations; and (3) it pushed white female STEM graduates out of the workforce. JEL Classification:J24, J61