G2TT
来源类型Working Paper
规范类型报告
DOI10.3386/w5548
来源IDWorking Paper 5548
Aggregation and the Estimated Effects of School Resources
Eric A. Hanushek; Steven G. Rivkin; Lori L. Taylor
发表日期1996-04-01
出版年1996
语种英语
摘要This paper attempts to reconcile the contradictory findings in the debate over school resources and school effectiveness by highlighting the role of aggregation in the presence of omitted variables bias. While data aggregation for well-specified linear models yields unbiased parameter estimates, aggregation alters the magnitude of any omitted variables bias. In general, the theoretical impact of aggregation is ambiguous. In a very relevant special case where omitted variables relate to state differences in school policy, however, aggregation implies clear upward bias of estimated school resource effects. Analysis of High School and Beyond data provides strong evidence that aggregation inflates the coefficients on school resources. Moreover, the pattern of results is not consistent with an errors-in-variables explanation, the alternative explanation for the larger estimated impact with aggregate estimates. Since studies using aggregate data are much more likely to find positive school resource effects on achievement, these results provide further support to the view that additional expenditures alone are unlikely to improve student outcomes.
主题Health, Education, and Welfare ; Education ; Public Economics ; Subnational Fiscal Issues
URLhttps://www.nber.org/papers/w5548
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/563014
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GB/T 7714
Eric A. Hanushek,Steven G. Rivkin,Lori L. Taylor. Aggregation and the Estimated Effects of School Resources. 1996.
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