We use archetypoid analysis as a new tool to categorize institutions and faculties of economics. The approach identifies typical characteristics of extreme (archetypal) values in a multivariate data set. Each entity under investigation is assigned relative shares of the identified archetypoid,...

In a previous paper, we have shown that academic rank is largely unrelated to tutorial teaching effectiveness. In this paper, we further explore the effectiveness of the lowest-ranked instructors: students. We confirm that students are almost as effective as senior instructors, and we produce...

A substantial share of university instruction happens in tutorial sessions - small group instruction given parallel to lectures. In this paper, we study whether instructors with a higher academic rank teach tutorials more effectively in a setting where students are randomly assigned to tutorial...

We study whether female students benefit from being taught by female professors, and whether such gender match effects differ by class size. We use administrative records of a German public university, covering all programs and courses between 2006 and 2018. We find that gender match effects on...

In broad parts of the scientific community the position in publication performance rankings, based on journal quality ratings is seen as highly reputational for the scientist. This contribution provides evidence that, at least in economics, such publication performance measures can not always be...

This paper studies how a student's ordinal rank in a peer group affects performance and specialisation choices in university. By exploiting data with repeated random assignment of students to teaching sections, we find that a higher rank increases performance and the probability of choosing...

I provide evidence on the causal effects of a student's relative socioeconomic status during high school on their mental health and human capital development. Leveraging data from representative US high schools, I utilize between-cohort differences in the distributions of socioeconomic status...

This paper provides new evidence on gender bias in teaching evaluations. We exploit a quasi-experimental dataset of 19,952 student evaluations of university faculty in a context where students are randomly allocated to female or male instructors. Despite the fact that neither students' grades...

Although women earn approximately 50 percent of science, technology, engineering and math (STEM) bachelor's degrees, more than 70 percent of scientists and engineers are men. We explore a potential determinant of this STEM gender gap using newly collected data on the career trajectories of...

It is unclear whether the hierarchy in the economics profession is the result of the agglomeration of excellence or of nepotism. I construct the professor-student network for laureates of and candidates for the Nobel Prize in Economics. I study the effect of proximity to previous Nobelists on...