Implicit Stereotypes: Evidence from Teachers’ Gender Bias with Michela Carlana

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

You can listen to Implicit Stereotypes: Evidence from Teachers’ Gender Bias with Michela Carlana online on Radio and Podcast. Open the player on this page to stream the available audio.

Implicit Stereotypes: Evidence from Teachers’ Gender Bias with Michela Carlana is an episode from Women and Public Policy Program Seminar Series by Women and Public Policy Program, Harvard Kennedy School.

This episode is 73:54 long.

This episode was published on Jan 23, 2019.

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