In this seminar, Michela Carlana analyzes the impact of teachers' gender stereotypes on student achievement. She collects a unique dataset including information on the Gender-Science Implicit Association Test (IAT) of teachers and students' outcomes, such as performance in standardized test scores, track choice, and self-confidence. Michela finds that teachers’ stereotypes induce girls to underperform in math and self-select into less demanding high-schools, following the track recommendation of their teachers. These effects are at least partially driven by a lower self-confidence on own math ability of girls exposed to gender biased teachers.
Michela Carlana, WAPPP Faculty Affiliate; Assistant Professor of Public Policy, Harvard Kennedy School