Aggregate Versus Disaggregate Data in Measuring School Quality
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DOI: 10.1007/s11123-006-7644-6
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References listed on IDEAS
- Hanushek, Eric A & Rivkin, Steven G & Taylor, Lori L, 1996.
"Aggregation and the Estimated Effects of School Resources,"
The Review of Economics and Statistics, MIT Press, vol. 78(4), pages 611-627, November.
- Hanushek, E-A & Rivkin, S-G & Taylor, L-L, 1995. "Aggregation and the Estimated Effects of School Resources," RCER Working Papers 397, University of Rochester - Center for Economic Research (RCER).
- Eric A. Hanushek & Steven G. Rivkin & Lori L. Taylor, 1996. "Aggregation and the Estimated Effects of School Resources," NBER Working Papers 5548, National Bureau of Economic Research, Inc.
- Eric A. Hanushek & Lori L. Taylor, 1990. "Alternative Assessments of the Performance of Schools: Measurement of State Variations in Achievement," Journal of Human Resources, University of Wisconsin Press, vol. 25(2), pages 179-201.
- Geoffrey Woodhouse & Min Yang & Harvey Goldstein & Jon Rasbash, 1996. "Adjusting for Measurement Error in Multilevel Analysis," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 159(2), pages 201-212, March.
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Cited by:
- B. Brorsen & Taeyoon Kim, 2013. "Data aggregation in stochastic frontier models: the closed skew normal distribution," Journal of Productivity Analysis, Springer, vol. 39(1), pages 27-34, February.
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More about this item
Keywords
Data aggregation; Error components; School quality; C23; I21;All these keywords.
JEL classification:
- C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
- I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
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