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来源类型Working Paper
规范类型报告
DOI10.3386/w10118
来源IDWorking Paper 10118
The Central Role of Noise in Evaluating Interventions that Use Test Scores to Rank Schools
Kenneth Y. Chay; Patrick J. McEwan; Miguel Urquiola
发表日期2003-11-24
出版年2003
语种英语
摘要Several countries have implemented programs that use test scores to rank schools, and to reward or penalize them based on their students' average performance. Recently, Kane and Staiger (2002) have warned that imprecision in the measurement of school-level test scores could impede these efforts. There is little evidence, however, on how seriously noise hinders the evaluation of the impact of these interventions. We examine these issues in the context of Chile's P-900 program a country-wide intervention in which resources were allocated based on cutoffs in schools' mean test scores. We show that transitory noise in average scores and mean reversion lead conventional estimation approaches to greatly overstate the impacts of such programs. We then show how a regression discontinuity design that utilizes the discrete nature of the selection rule can be used to control for reversion biases. While the RD analysis provides convincing evidence that the P-900 program had significant effects on test score gains, these effects are much smaller than is widely believed.
主题Health, Education, and Welfare ; Education
URLhttps://www.nber.org/papers/w10118
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/567746
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Kenneth Y. Chay,Patrick J. McEwan,Miguel Urquiola. The Central Role of Noise in Evaluating Interventions that Use Test Scores to Rank Schools. 2003.
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