IDEAS home Printed from
MyIDEAS: Login to save this article or follow this journal

Do school resources increase school quality ?

  • Nadir Altinok

The aim of this paper is to verify whether school resource factors have an impact on the quality of education. This latter is measured with the help of a unique database on student scores in international skills tests. The general difficulties inherent in this type of study are the possibility of endogeneity bias and measurement errors. After estimation bias correction, we show that improvement in the quality of educational systems does not necessarily require an increase in school resources. When an alternative indicator of the performance of educational systems is used, our results are confirmed. Consequently, one should remain cautious about recommending purely financial measures to improve quality of education.

If 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.

File URL:
File Function: ARTICLE ALTINOKpdf
Download Restriction: no

Article provided by ULB -- Universite Libre de Bruxelles in its journal Brussels economic review.

Volume (Year): 51 (2008)
Issue (Month): 4 ()
Pages: 435-458

in new window

Handle: RePEc:bxr:bxrceb:2013/77432
Contact details of provider: Web page:

More information through EDIRC

References listed on IDEAS
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.:

as in new window
  1. Jerik Hanushek & Dennis Kimko, 2006. "Schooling, Labor-force Quality, and the Growth of Nations," Educational Studies, Higher School of Economics, issue 1, pages 154-193.
  2. Hartog,Joop & Maassen van den Brink,Henriƫtte (ed.), 2007. "Human Capital," Cambridge Books, Cambridge University Press, number 9780521873161.
  3. Lee, Jong-Wha & Barro, Robert J, 2001. "Schooling Quality in a Cross-Section of Countries," Economica, London School of Economics and Political Science, vol. 68(272), pages 465-88, November.
  4. Arellano, Manuel & Bond, Stephen, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," Review of Economic Studies, Wiley Blackwell, vol. 58(2), pages 277-97, April.
  5. Petra E. Todd & Kenneth I. Wolpin, 2003. "On The Specification and Estimation of The Production Function for Cognitive Achievement," Economic Journal, Royal Economic Society, vol. 113(485), pages F3-F33, February.
  6. Hanushek, Eric A. & Luque, Javier A., 2003. "Efficiency and equity in schools around the world," Economics of Education Review, Elsevier, vol. 22(5), pages 481-502, October.
  7. David Roodman, 2006. "How to Do xtabond2: An Introduction to "Difference" and "System" GMM in Stata," Working Papers 103, Center for Global Development.
  8. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
  9. M Arellano & O Bover, 1990. "Another Look at the Instrumental Variable Estimation of Error-Components Models," CEP Discussion Papers dp0007, Centre for Economic Performance, LSE.
  10. Robert J. Barro & Jong-Wha Lee, 2000. "International Data on Educational Attainment Updates and Implications," NBER Working Papers 7911, National Bureau of Economic Research, Inc.
  11. Douglas Staiger & James H. Stock, 1997. "Instrumental Variables Regression with Weak Instruments," Econometrica, Econometric Society, vol. 65(3), pages 557-586, May.
  12. Barro, Robert J & Lee, Jong Wha, 1996. "International Measures of Schooling Years and Schooling Quality," American Economic Review, American Economic Association, vol. 86(2), pages 218-23, May.
  13. Samer Al-Samarrai, 2006. "Achieving education for all: how much does money matter?," Journal of International Development, John Wiley & Sons, Ltd., vol. 18(2), pages 179-206.
  14. McCallum, B T, 1972. "Relative Asymptotic Bias from Errors of Omission and Measurement," Econometrica, Econometric Society, vol. 40(4), pages 757-58, July.
  15. Eric A. Hanushek & Dongwook Kim, 1995. "Schooling, Labor Force Quality, and Economic Growth," NBER Working Papers 5399, National Bureau of Economic Research, Inc.
  16. Altinok, Nadir & Murseli, Hatidje, 2007. "International database on human capital quality," Economics Letters, Elsevier, vol. 96(2), pages 237-244, August.
  17. Marijn Verhoeven & Sanjeev Gupta & Erwin Tiongson, 1999. "Does Higher Government Spending Buy Better Results in Education and Health Care?," IMF Working Papers 99/21, International Monetary Fund.
Full references (including those not matched with items on IDEAS)

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

When requesting a correction, please mention this item's handle: RePEc:bxr:bxrceb:2013/77432. See general 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: (Benoit Pauwels)

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 references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link 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 profile, as there may be some citations waiting for confirmation.

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

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.