Updated: Apr 17, 2022
Francis A. Pearlman II and Ebony O. McGee
Black–White disparities in gifted enrollment persist across U.S. school systems. In this study, we examined whether these disparities depend on county-level rates of anti-Black bias. We drew data from the Civil Rights Data Collection, the Education Opportunity Project, and the Race Implicit Association Database. Based on a series of heteroskedastic fractional probit regression models, we found that county-level rates of anti-Black bias predict Black–White disparities in gifted and talented enrollment, with gaps being largest in counties with elevated rates of anti-Black bias and virtually non-existent in counties with low levels of anti-Black bias.