IDEAS home Printed from https://ideas.repec.org/a/tpr/restat/v78y1996i4p611-27.html
   My bibliography  Save this article

Aggregation and the Estimated Effects of School Resources

Author

Listed:
  • Hanushek, Eric A
  • Rivkin, Steven G
  • Taylor, Lori L

Abstract

This 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.

Suggested Citation

  • 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.
  • Handle: RePEc:tpr:restat:v:78:y:1996:i:4:p:611-27
    as

    Download full text from publisher

    File URL: http://links.jstor.org/sici?sici=0034-6535%28199611%2978%3A4%3C611%3AAATEEO%3E2.0.CO%3B2-B&origin=bc
    File Function: full text
    Download Restriction: Access to full text is restricted to JSTOR subscribers. See http://www.jstor.org for details.
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or search for a different version of it.

    Other versions of this item:

    References listed on IDEAS

    as
    1. George E. Johnson & Frank P. Stafford, 1973. "Social Returns to Quantity and Quality of Schooling," Journal of Human Resources, University of Wisconsin Press, vol. 8(2), pages 139-155.
    2. Hanushek, Eric A., 2006. "School Resources," Handbook of the Economics of Education, in: Erik Hanushek & F. Welch (ed.), Handbook of the Economics of Education, edition 1, volume 2, chapter 14, pages 865-908, Elsevier.
    3. 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.
    4. Charles M. Tiebout, 1956. "A Pure Theory of Local Expenditures," Journal of Political Economy, University of Chicago Press, vol. 64, pages 416-416.
    5. 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 231-250, May.
    6. 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.
    7. Summers, Anita A & Wolfe, Barbara L, 1977. "Do Schools Make a Difference?," American Economic Review, American Economic Association, vol. 67(4), pages 639-652, September.
    8. George J. Borjas, 2021. "Self-Selection and the Earnings of Immigrants," World Scientific Book Chapters, in: Foundational Essays in Immigration Economics, chapter 4, pages 69-91, World Scientific Publishing Co. Pte. Ltd..
    9. Swamy, P A V B, 1970. "Efficient Inference in a Random Coefficient Regression Model," Econometrica, Econometric Society, vol. 38(2), pages 311-323, March.
    10. 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).
    11. Moulton, Brent R., 1986. "Random group effects and the precision of regression estimates," Journal of Econometrics, Elsevier, vol. 32(3), pages 385-397, August.
    12. 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 491-497, June.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Aaronson, Daniel, 1999. "The Effect of School Finance Reform on Population Heterogeneity," National Tax Journal, National Tax Association;National Tax Journal, vol. 52(1), pages 5-29, March.
    2. Boozer, Michael & Rouse, Cecilia, 2001. "Intraschool Variation in Class Size: Patterns and Implications," Journal of Urban Economics, Elsevier, vol. 50(1), pages 163-189, July.
    3. Caroline M. Hoxby, 2000. "Does Competition among Public Schools Benefit Students and Taxpayers?," American Economic Review, American Economic Association, vol. 90(5), pages 1209-1238, December.
    4. Barrow, Lisa & Rouse, Cecilia Elena, 2004. "Using market valuation to assess public school spending," Journal of Public Economics, Elsevier, vol. 88(9-10), pages 1747-1769, August.
    5. David M. Brasington, 1999. "Which Measures of School Quality Does the Housing Market Value?," Journal of Real Estate Research, American Real Estate Society, vol. 18(3), pages 395-414.
    6. Daniel Aaronson & Lisa Barrow & William Sander, 2007. "Teachers and Student Achievement in the Chicago Public High Schools," Journal of Labor Economics, University of Chicago Press, vol. 25(1), pages 95-135.
    7. David Card & Alan B. Krueger, 1996. "Labor Market Effects of School Quality: Theory and Evidence," NBER Working Papers 5450, National Bureau of Economic Research, Inc.
    8. Marlow, Michael L., 1999. "Spending, school structure, and public education quality. Evidence from California," Economics of Education Review, Elsevier, vol. 19(1), pages 89-106, February.
    9. Alan B. Krueger, 1999. "Experimental Estimates of Education Production Functions," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 114(2), pages 497-532.
    10. Petra E. Todd & Kenneth I. Wolpin, 2007. "The Production of Cognitive Achievement in Children: Home, School, and Racial Test Score Gaps," Journal of Human Capital, University of Chicago Press, vol. 1(1), pages 91-136.
    11. Caroline Minter Hoxby, 1994. "Do Private Schools Provide Competition for Public Schools?," NBER Working Papers 4978, National Bureau of Economic Research, Inc.
    12. David Card & Alan B. Krueger, 1996. "School Resources and Student Outcomes: An Overview of the Literature and New Evidence from North and South Carolina," Journal of Economic Perspectives, American Economic Association, vol. 10(4), pages 31-50, Fall.
    13. Eric A. Hanushek, 1996. "Measuring Investment in Education," Journal of Economic Perspectives, American Economic Association, vol. 10(4), pages 9-30, Fall.
    14. Theodore M. Crone, 1998. "House prices and the quality of public schools: what are we buying?," Business Review, Federal Reserve Bank of Philadelphia, issue Sep, pages 3-14.
    15. Millimet, Daniel L. & Collier, Trevor, 2008. "Efficiency in public schools: Does competition matter?," Journal of Econometrics, Elsevier, vol. 145(1-2), pages 134-157, July.
    16. Rosalind Levacic & Stephen Machin & David Reynolds & Anna Vignoles & James Walker, 2000. "The Relationship between Resource Allocation and Pupil Attainment: A Review," CEE Discussion Papers 0002, Centre for the Economics of Education, LSE.
    17. Wo[ss]mann, Ludger & West, Martin, 2006. "Class-size effects in school systems around the world: Evidence from between-grade variation in TIMSS," European Economic Review, Elsevier, vol. 50(3), pages 695-736, April.
    18. Stephen Drinkwater, 2003. "Go West? Assessing the willingness to move from Central and Eastern European Countries," School of Economics Discussion Papers 0503, School of Economics, University of Surrey.
    19. Ma, Lingjie & Koenker, Roger, 2006. "Quantile regression methods for recursive structural equation models," Journal of Econometrics, Elsevier, vol. 134(2), pages 471-506, October.
    20. Giacomo De Giorgi & Michele Pellizzari & William Gui Woolston, 2012. "Class Size And Class Heterogeneity," Journal of the European Economic Association, European Economic Association, vol. 10(4), pages 795-830, August.

    More about this item

    JEL classification:

    • I22 - Health, Education, and Welfare - - Education - - - Educational Finance; Financial Aid

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:tpr:restat:v:78:y:1996:i:4:p:611-27. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Kelly McDougall (email available below). General contact details of provider: https://direct.mit.edu/journals .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.