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Efficiency and Equity in Schools around the World

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Author Info
Eric A. Hanushek
Javier A. Luque

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Abstract

Attention to the quality of human capital in different countries naturally leads to concerns about how school policies relate to student performance. The data from the Third International Mathematics and Science Study (TIMSS) provide a way of comparing performance in different schooling systems. The results of analyses of educational production functions within a range of developed and developing countries show general problems with the efficiency of resource usage similar to those found previously in the United States. These effects do not appear to be dictated by variations related to income level of the country or level of resources in the schools. Neither do they appear to be determined by school policies that involve compensatory application of resources. The conventional view that school resources are relatively more important in poor countries also fails to be supported.

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Paper provided by National Bureau of Economic Research, Inc in its series NBER Working Papers with number 8949.

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Date of creation: May 2002
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Handle: RePEc:nbr:nberwo:8949

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I2 - Health, Education, and Welfare - - Education
H4 - Public Economics - - Publicly Provided Goods

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  4. 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. [Downloadable!] (restricted)
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  5. Mincer, Jacob, 1970. "The Distribution of Labor Incomes: A Survey with Special Reference to the Human Capital Approach," Journal of Economic Literature, American Economic Association, vol. 8(1), pages 1-26, March. [Downloadable!] (restricted)
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  7. Richard R. Nelson & Edmond S. Phelps, 1965. "Investment in Humans, Technological Diffusion and Economic Growth," Cowles Foundation Discussion Papers 189, Cowles Foundation, Yale University. [Downloadable!]
  8. Mark Bils & Peter J. Klenow, 2000. "Does Schooling Cause Growth?," American Economic Review, American Economic Association, vol. 90(5), pages 1160-1183, December. [Downloadable!] (restricted)
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  10. 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.
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  11. Bishop, John Hillman, 1989. "Is the Test Score Decline Responsible for the Productivity Growth Decline?," American Economic Review, American Economic Association, vol. 79(1), pages 178-97, March. [Downloadable!] (restricted)
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  13. Caroline M. Hoxby, 2000. "The Effects Of Class Size On Student Achievement: New Evidence From Population Variation," The Quarterly Journal of Economics, MIT Press, vol. 115(4), pages 1239-1285, November. [Downloadable!] (restricted)
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  15. Eric A. Hanushek & Dennis D. Kimko, 2000. "Schooling, Labor-Force Quality, and the Growth of Nations," American Economic Review, American Economic Association, vol. 90(5), pages 1184-1208, December. [Downloadable!] (restricted)
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  19. Mankiw, N Gregory & Romer, David & Weil, David N, 1992. "A Contribution to the Empirics of Economic Growth," The Quarterly Journal of Economics, MIT Press, vol. 107(2), pages 407-37, May. [Downloadable!] (restricted)
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  20. Akerhielm, Karen, 1995. "Does class size matter?," Economics of Education Review, Elsevier, vol. 14(3), pages 229-241, September. [Downloadable!] (restricted)
  21. Taber, Christopher R, 2001. "The Rising College Premium in the Eighties: Return to College or Return to Unobserved Ability?," Review of Economic Studies, Blackwell Publishing, vol. 68(3), pages 665-91, July.
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  24. Griliches, Zvi, 1974. "Errors in Variables and Other Unobservables," Econometrica, Econometric Society, vol. 42(6), pages 971-98, November. [Downloadable!] (restricted)
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  26. Anne Case & Angus Deaton, 1999. "School Inputs And Educational Outcomes In South Africa," The Quarterly Journal of Economics, MIT Press, vol. 114(3), pages 1047-1084, August. [Downloadable!] (restricted)
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