Data and Code for The Short- and the Long-Run Impact of Gender-Biased Teachers

We examine the persistence of teachers' gender biases by following teachers over time in different classes. Wend a very high correlation of gender biases for teachers across their classes. Based on out-of-sample measures of these biases, we estimate the substantial effects of these biases on students' performance in university admission exams, choice of university eld of study, and quality of the enrolled program. The effects on university choice outcomes are larger for girls, explaining some gender differences in STEM majors. Part of these effects, which are more prevalent among less effective teachers, are mediated by changing school attendance.---These are the data that produce the results found in the related paper.