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School Resources and the Quality of Education: Is there a link?

  • Nadir Altinok

    ()

    (IREDU/CNRS, University of Bourgogne)

  • Saloua Bennaghmouch

    (University of Haute-Alsace)

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.

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File URL: http://www.cliometrie.org/images/wp/AFC_WP_01-2008.pdf
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Paper provided by Association Française de Cliométrie (AFC) in its series Working Papers with number 08-01.

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Length: 33 pages
Date of creation: 2008
Date of revision:
Handle: RePEc:afc:wpaper:08-01
Contact details of provider: Web page: http://www.cliometrie.org
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  1. Nadir Altinok & Hatidje Murseli, 2006. "International Database on Human Capital Quality," Post-Print halshs-00097099, HAL.
  2. 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.
  3. Eric A. Hanushek & Javier A. Luque, 2002. "Efficiency and Equity in Schools around the World," NBER Working Papers 8949, National Bureau of Economic Research, Inc.
  4. Arellano, Manuel & Bover, Olympia, 1995. "Another look at the instrumental variable estimation of error-components models," Journal of Econometrics, Elsevier, vol. 68(1), pages 29-51, July.
  5. Dennis D. Kimko & Eric A. Hanushek, 2000. "Schooling, Labor-Force Quality, and the Growth of Nations," American Economic Review, American Economic Association, vol. 90(5), pages 1184-1208, December.
  6. 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.
  7. McCallum, B T, 1972. "Relative Asymptotic Bias from Errors of Omission and Measurement," Econometrica, Econometric Society, vol. 40(4), pages 757-58, July.
  8. Douglas Staiger & James H. Stock, 1994. "Instrumental Variables Regression with Weak Instruments," NBER Technical Working Papers 0151, National Bureau of Economic Research, Inc.
  9. Lee, J.-W. & Barro, R.J., 1998. "Schooling Quality in a Cross Section of Countries," Papers 659, Harvard - Institute for International Development.
  10. 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.
  11. 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.
  12. Barro, Robert J & Lee, Jong-Wha, 2001. "International Data on Educational Attainment: Updates and Implications," Oxford Economic Papers, Oxford University Press, vol. 53(3), pages 541-63, July.
  13. David Roodman, 2009. "How to do xtabond2: An introduction to difference and system GMM in Stata," Stata Journal, StataCorp LP, vol. 9(1), pages 86-136, March.
  14. 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.
  15. Eric A. Hanushek & Dongwook Kim, 1995. "Schooling, Labor Force Quality, and Economic Growth," NBER Working Papers 5399, National Bureau of Economic Research, Inc.
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