Aggregation and the Estimated Effects of School Resources
AbstractThis paper helps reconcile the contradictory findings about school resources and school effectiveness by developing the implications of data aggregation. With model misspecification, the theoretical impact of aggregation is generally ambiguous. When important state differences in school policy are omitted, however, aggregation implies clear upward bias of estimated school resource effects. Review of past studies and new empirical analysis provide strong evidence that aggregation inflates the coefficients on school resources. The pattern of results is also inconsistent with an errors-in-variables explanation. These results provide further support to the view that additional expenditures alone are unlikely to improve student outcomes. Copyright 1996 by MIT Press.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoArticle provided by MIT Press in its journal Review of Economics & Statistics.
Volume (Year): 78 (1996)
Issue (Month): 4 (November)
Contact details of provider:
Web page: http://mitpress.mit.edu/journals/
Other versions of this item:
- 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.
- 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).
- I22 - Health, Education, and Welfare - - Education - - - Educational Finance; Financial Aid
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Swamy, P A V B, 1970.
"Efficient Inference in a Random Coefficient Regression Model,"
Econometric Society, vol. 38(2), pages 311-23, March.
- Tom Doan, . "SWAMY: RATS procedure to compute a GLS matrix weighted estimator for a panel data set," Statistical Software Components RTS00206, Boston College Department of Economics.
- Moulton, Brent R., 1986. "Random group effects and the precision of regression estimates," Journal of Econometrics, Elsevier, vol. 32(3), pages 385-397, August.
- Betts, Julian R, 1995. "Does School Quality Matter? Evidence from the National Longitudinal Survey of Youth," The Review of Economics and Statistics, MIT Press, vol. 77(2), pages 231-50, May.
- George J. Borjas, 1987.
"Self-Selection and the Earnings of Immigrants,"
NBER Working Papers
2248, National Bureau of Economic Research, Inc.
- Charles M. Tiebout, 1956. "A Pure Theory of Local Expenditures," Journal of Political Economy, University of Chicago Press, vol. 64, pages 416.
- Bishop, John, 1992. "The impact of academic competencies on wages, unemployment, and job performance," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 37(1), pages 127-194, December.
- Hanushek, E.A. & Rivkin, S.G., 1994. "Understanding the 20th Century Explosion in U.S. School Costs," RCER Working Papers 388, University of Rochester - Center for Economic Research (RCER).
- Summers, Anita A & Wolfe, Barbara L, 1977. "Do Schools Make a Difference?," American Economic Review, American Economic Association, vol. 67(4), pages 639-52, September.
- Pakes, Ariel, 1982. "On the Asymptotic Bias of Wald-Type Estimators of a Straight Line When Both Variables Are Subject to Error," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 23(2), pages 491-97, June.
- Hanushek, Eric A., 2006. "School Resources," Handbook of the Economics of Education, Elsevier.
This item has more than 25 citations. To prevent cluttering this page, these citations are listed on a separate page. reading list or among the top items on IDEAS.Access and download statisticsgeneral information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Karie Kirkpatrick).
If references are entirely missing, you can add them using this form.