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Schooling Quality in a Cross Section of Countries

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  • Lee, J.-W.
  • Barro, R.J.

Abstract

We investigate the determinants of educational quality in a newly-constructed panel data set that includes output and input measures for a broad number of countries. The results show that family inputs and school resources are closely related to school outcomes, as measured by internationally comparable test scores, repetition rates, and drop-out rates. Family characteristics, such as income and education of parents, have strong effects on student performance. The findings also indicate that more school resources- especially smaller class sizes but probably also higher teacher salaries and greater school length- enhance educational outcomes.

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Bibliographic Info

Paper provided by Harvard - Institute for International Development in its series Papers with number 659.

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Length: 42 pages
Date of creation: 1998
Date of revision:
Handle: RePEc:fth:harvid:659

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Postal: CAER Project, Harvard Institute for International Development, 14 Story Street, Cambridge MA 02138O
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Keywords: EDUCATION ; WORKERS' EDUCATION ; SCHOOLS;

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References

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  1. 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.
  2. David Card & Alan Krueger, 1996. "Labor Market Effects of School Quality: Theory and Evidence," Working Papers 736, Princeton University, Department of Economics, Industrial Relations Section..
  3. Eric A. Hanushek, . "Interpreting Recent Research on Schooling in Developing Countries," Wallis Working Papers WP3, University of Rochester - Wallis Institute of Political Economy.
  4. 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.
  5. David Card & Alan Krueger, 1996. "School Resources and Student Outcomes: An Overview of the Literature and New Evidence from North and South Carolina," NBER Working Papers 5708, National Bureau of Economic Research, Inc.
  6. Boissiere, M & Knight, J B & Sabot, R H, 1985. "Earnings, Schooling, Ability, and Cognitive Skills," American Economic Review, American Economic Association, vol. 75(5), pages 1016-30, December.
  7. Behrman, Jere R & Birdsall, Nancy, 1983. "The Quality of Schooling: Quantity Alone is Misleading," American Economic Review, American Economic Association, vol. 73(5), pages 928-46, December.
  8. Card, David & Krueger, Alan B, 1992. "Does School Quality Matter? Returns to Education and the Characteristics of Public Schools in the United States," Journal of Political Economy, University of Chicago Press, vol. 100(1), pages 1-40, February.
  9. Altonji, Joseph G & Dunn, Thomas A, 1996. "Using Siblings to Estimate the Effect of School Quality on Wages," The Review of Economics and Statistics, MIT Press, vol. 78(4), pages 665-71, November.
  10. Eric A. Hanushek & Dongwook Kim, 1995. "Schooling, Labor Force Quality, and Economic Growth," NBER Working Papers 5399, National Bureau of Economic Research, Inc.
  11. Hanushek, Eric A, 1986. "The Economics of Schooling: Production and Efficiency in Public Schools," Journal of Economic Literature, American Economic Association, vol. 24(3), pages 1141-77, September.
  12. repec:fth:prinin:357 is not listed on IDEAS
  13. Kremer, Michael R, 1995. "Research on Schooling: What We Know and What We Don't: A Comment," World Bank Research Observer, World Bank Group, vol. 10(2), pages 247-54, August.
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