Stereotypes and Self-Stereotypes: Evidence from Teachersí Gender Bias

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IZA Seminar

Place: Schaumburg-Lippe-Str. 9, 53113 Bonn

Date: 10.04.2018, 12:15 - 13:30


Presentation by 

Michela Carlana (Harvard Kennedy School)


I study the impact of exposure to gender-biased teachers on student achievement and self-confidence. The gender gap in math performance substantially increases when students are quasi-randomly assigned to teachers with stronger stereotypes (as measured by an implicit association test). The effect is driven by lower performance of female students, while there is no impact on males. Teacher bias induces females to self-select into less demanding high-schools, following the track recommendation of their teachers. Finally, teacher bias has a substantial negative impact on femalesí assessment of their own math ability. These findings are consistent with the hypothesis that ability-stigmatized groups underperform and fail to achieve their potential.

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