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Differences entre les distributions du rendement scolaire au secondaire : le role de la taille de la classe et du temps d'enseignement

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  • Lauzon, Darren
  • Corak, Miles

Abstract

Dans le present document nous avons recours a l'application de la methode de decomposition de DiNardo, Fortin et Lemieux (DFL, 1996) pour ventiler les differences entre les distributions provinciales des notes au test du Programme international pour le suivi des acquis des eleves (PISA) et pour evaluer la contribution relative de la distribution de la et du temps d'enseignement, des autres caracteristiques de l'ecole et des caracteristiques du milieu familial des eleves aux differences interprovinciales de rendement. La taille de la classe et le temps d'enseignement etant deux variables qui ont une influence importante sur le choix de l'ecole, nous examinons comment les differences interprovinciales de rendement scolaire evolueraient si la distribution de la taille de la classe et du temps d'enseignement observee en Alberta etait celle en vigueur dans les autres provinces. Les resultats varient selon la province et, pour celles ou les ecarts moyens de rendement s'amenuiseraient, les nouvelles conditions n'avantageraient pas tous les eleves.

Suggested Citation

  • Lauzon, Darren & Corak, Miles, 2005. "Differences entre les distributions du rendement scolaire au secondaire : le role de la taille de la classe et du temps d'enseignement," Direction des études analytiques : documents de recherche 2005270f, Statistics Canada, Direction des études analytiques.
  • Handle: RePEc:stc:stcp3f:2005270f
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    File URL: https://www150.statcan.gc.ca/n1/fr/catalogue/11F0019M2005270
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    References listed on IDEAS

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    1. Stephen G. Donald & David A. Green & Harry J. Paarsch, 2000. "Differences in Wage Distributions Between Canada and the United States: An Application of a Flexible Estimator of Distribution Functions in the Presence of Covariates," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 67(4), pages 609-633.
    2. 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.
    3. Hanushek, Eric A., 2006. "School Resources," Handbook of the Economics of Education, in: Erik Hanushek & F. Welch (ed.), Handbook of the Economics of Education, edition 1, volume 2, chapter 14, pages 865-908, Elsevier.
    4. Eric A. Hanushek & Lori L. Taylor, 1990. "Alternative Assessments of the Performance of Schools: Measurement of State Variations in Achievement," Journal of Human Resources, University of Wisconsin Press, vol. 25(2), pages 179-201.
    5. PARK, Byeong U. & TURLACH, Berwin A., 1992. "Practical performance of several data driven bandwidth selectors," LIDAM Reprints CORE 1001, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    6. Richard Blundell & Alan Duncan, 1998. "Kernel Regression in Empirical Microeconomics," Journal of Human Resources, University of Wisconsin Press, vol. 33(1), pages 62-87.
    7. PARK, Byeong & TURLACH, Berwin, 1992. "Practical performance of several data driven bandwidth selectors," LIDAM Discussion Papers CORE 1992005, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    8. Alan B. Krueger, 1999. "Experimental Estimates of Education Production Functions," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 114(2), pages 497-532.
    9. Joshua D. Angrist & Victor Lavy, 1999. "Using Maimonides' Rule to Estimate the Effect of Class Size on Scholastic Achievement," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 114(2), pages 533-575.
    10. Eide, Eric & Showalter, Mark H., 1998. "The effect of school quality on student performance: A quantile regression approach," Economics Letters, Elsevier, vol. 58(3), pages 345-350, March.
    11. Eric A. Hanushek, "undated". "The Evidence on Class Size," Wallis Working Papers WP10, University of Rochester - Wallis Institute of Political Economy.
    12. Caroline M. Hoxby, 2000. "The Effects of Class Size on Student Achievement: New Evidence from Population Variation," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 115(4), pages 1239-1285.
    13. Eric A. Hanushek, 1979. "Conceptual and Empirical Issues in the Estimation of Educational Production Functions," Journal of Human Resources, University of Wisconsin Press, vol. 14(3), pages 351-388.
    14. Edward P. Lazear, 2001. "Educational Production," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 116(3), pages 777-803.
    15. Cook, Michael D & Evans, William N, 2000. "Families or Schools? Explaining the Convergence in White and Black Academic Performance," Journal of Labor Economics, University of Chicago Press, vol. 18(4), pages 729-754, October.
    16. 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 1141-1177, September.
    17. John DiNardo & Justin L. Tobias, 2001. "Nonparametric Density and Regression Estimation," Journal of Economic Perspectives, American Economic Association, vol. 15(4), pages 11-28, Fall.
    18. Adonis Yatchew, 1998. "Nonparametric Regression Techniques in Economics," Journal of Economic Literature, American Economic Association, vol. 36(2), pages 669-721, June.
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