. Despite the fact that neither students' grades nor self-study hours are affected by the instructor's gender, we find that …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 …

, 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 United States Air Force Academy students. Specifically, we examine the …, among high-ability female students, being assigned a female professor leads to substantial increases in the probability of …

are and which students are at risk of dropping out. We develop an early detection system (EDS) using administrative …

paper, we further explore the effectiveness of the lowest-ranked instructors: students. We confirm that students are almost … instructors. We conclude that hiring moderately more student instructors would not harm students, but exclusively using them will …

years. The intervention includes students aged 7-9 and consists of pulling students from their regular mathematics classes … school year. All students, not only struggling students, are pulled out. We find that students in treatment schools increased … national tests 1-2 years later, with no differential effect by pre-ability level or gender. Our study is particularly relevant …

the effect of proximity to previous Nobelists on winning the Nobel Prize. Conditional on being Nobel-worthy, students and …

The persistent lack of workplace diversity in management and leadership may lead to organizational vulnerabilities … increase demographic diversity, there is a dearth of empirical evidence on effective ways to reach them. We use a natural field … different types of signals regarding the extent and manner in which the employer values diversity among its workers. We find …

can impact gender diversity in the male-dominated technology sector, both overall and separately for labor supply and … to be substantially biased against women to result in a lower level of gender diversity than found without AI. … demand. We find that the use of AI in recruitment changes the gender distribution of potential hires, in some cases more than …

We propose a new method for measuring gender and ethnic stereotypes in news reports. By combining computer vision and … gender and ethnic identity of authors and editors. …