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来源类型 | Working Paper |
规范类型 | 报告 |
DOI | 10.3386/w10118 |
来源ID | Working 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 |
URL | https://www.nber.org/papers/w10118 |
来源智库 | National Bureau of Economic Research (United States) |
引用统计 | |
资源类型 | 智库出版物 |
条目标识符 | http://119.78.100.153/handle/2XGU8XDN/567746 |
推荐引用方式 GB/T 7714 | Kenneth Y. Chay,Patrick J. McEwan,Miguel Urquiola. The Central Role of Noise in Evaluating Interventions that Use Test Scores to Rank Schools. 2003. |
条目包含的文件 | ||||||
文件名称/大小 | 资源类型 | 版本类型 | 开放类型 | 使用许可 | ||
w10118.pdf(708KB) | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 |
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