Leveraging Lotteries for School Value-Added: Testing and Estimation
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Conventional value-added models (VAMs) compare average test scores across schools after regression-adjusting for students demographic characteristics and previous scores. This paper tests for VAM bias using a procedure that asks whether VAM estimates accurately predict the achievement consequences
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美国国家经济研究局创建时间:
2015-11-01



