G2TT
来源类型Working Paper
规范类型报告
DOI10.3386/w29608
来源IDWorking Paper 29608
Race and the Mismeasure of School Quality
Joshua Angrist; Peter Hull; Parag A. Pathak; Christopher R. Walters
发表日期2022-01-17
出版年2022
语种英语
摘要In large urban districts, schools enrolling more white students tend to have higher school performance ratings. We use an instrumental variables strategy leveraging centralized school assignment to identify the drivers of the correlation between racial make-up and ratings. Estimates from Denver and New York City suggest the relationship between widely-reported school performance ratings and white enrollment shares reflects selection bias rather than causal school value-added. In fact, value-added in these two cities is essentially unrelated to white enrollment shares. A simple regression adjustment is shown to yield school ratings that are uncorrelated with race, while predicting causal value-added as well or better than the corresponding unadjusted measures.
主题Health, Education, and Welfare ; Education
URLhttps://www.nber.org/papers/w29608
来源智库National Bureau of Economic Research (United States)
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资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/587313
推荐引用方式
GB/T 7714
Joshua Angrist,Peter Hull,Parag A. Pathak,et al. Race and the Mismeasure of School Quality. 2022.
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