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Schooling Quality in a Cross-Section of Countries

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Author Info
Lee, Jong-Wha
Barro, Robert J

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Abstract

This paper presents a newly constructed panel data-set that includes output and input measures of schooling quality for a broad number of countries. Based on this data-set, we investigate the determinants of educational quality. 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 dropout rates. Family characteristics, such as income and education of parents, have strong relations with student performance. The findings also suggest that more school resources--especially smaller class sizes, but probably also higher teacher salaries and greater school length--enhance educational outcomes. Copyright 2001 by The London School of Economics and Political Science

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Publisher Info
Article provided by London School of Economics and Political Science in its journal Economica.

Volume (Year): 68 (2001)
Issue (Month): 272 (November)
Pages: 465-88
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Handle: RePEc:bla:econom:v:68:y:2001:i:272:p:465-88

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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.:
  1. Card, David & Krueger Alan B, 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. [Downloadable!] (restricted)
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  2. repec:fth:prinin:357 is not listed on IDEAS
  3. 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.. [Downloadable!]
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  4. Hanushek, Eric A, 1995. "Interpreting Recent Research on Schooling in Developing Countries," World Bank Research Observer, Oxford University Press, vol. 10(2), pages 227-46, August.
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  5. 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. [Downloadable!] (restricted)
  6. 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. [Downloadable!] (restricted)
  7. David Card & Alan Krueger, 1990. "Does School Quality Matter? Returns to Education and the Characteristics of Public Schools in the United States," NBER Working Papers 3358, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
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  8. 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)
  9. 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. [Downloadable!] (restricted)
  10. 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. [Downloadable!] (restricted)
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  11. Eric A. Hanushek & Dongwook Kim, 1995. "Schooling, Labor Force Quality, and Economic Growth," NBER Working Papers 5399, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
  12. Kremer, Michael R, 1995. "Research on Schooling: What We Know and What We Don't: A Comment," World Bank Research Observer, Oxford University Press, vol. 10(2), pages 247-54, August.
  13. 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. [Downloadable!] (restricted)
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