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The Distributional Impacts of a Universal School Reform on Mathematical Achievements: a Natural Experiment from Canada (revised)

Author

Listed:
  • Catherine Haeck
  • Pierre Lefebvre
  • Philip Merrigan

Abstract

We investigate the impact of an ambitious provincial school reform in Canada on students’ mathematical achievements. It is the first paper to exploit a universal school reform of this magnitude to identify the causal effect of a widely supported teaching approach on students’ math scores. Our data set allows us to differentiate impacts according to the number of years of treatment and the timing of treatment. Using the changes-in-changes model, we find that the reform had negative effects on students’ scores at al points on the skills distribution and that the effects were larger the longer the exposure to the reform.

Suggested Citation

  • Catherine Haeck & Pierre Lefebvre & Philip Merrigan, 2011. "The Distributional Impacts of a Universal School Reform on Mathematical Achievements: a Natural Experiment from Canada (revised)," Cahiers de recherche 1135, CIRPEE.
  • Handle: RePEc:lvl:lacicr:1135
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    File URL: http://www.cirpee.org/fileadmin/documents/Cahiers_2011/CIRPEE11-35.pdf
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    References listed on IDEAS

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    1. repec:mpr:mprres:5086 is not listed on IDEAS
    2. Robert Bifulco & William Duncombe & John Yinger, 2005. "Does whole-school reform boost student performance? The case of New York City," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 24(1), pages 47-72.
    3. Thomas Fuchs & Ludger Wößmann, 2008. "What accounts for international differences in student prformance? A re-examination using PISA data," Studies in Empirical Economics, in: Christian Dustmann & Bernd Fitzenberger & Stephen Machin (ed.), The Economics of Education and Training, pages 209-240, Springer.
    4. James J. Heckman & Hidehiko Ichimura & Petra E. Todd, 1997. "Matching As An Econometric Evaluation Estimator: Evidence from Evaluating a Job Training Programme," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 64(4), pages 605-654.
    5. Angrist, Joshua D. & Krueger, Alan B., 1999. "Empirical strategies in labor economics," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 23, pages 1277-1366, Elsevier.
    6. Richard Blundell & Monica Costa Dias, 2009. "Alternative Approaches to Evaluation in Empirical Microeconomics," Journal of Human Resources, University of Wisconsin Press, vol. 44(3).
    7. Lefebvre, Pierre & Merrigan, Philip & Verstraete, Matthieu, 2011. "Public subsidies to private schools do make a difference for achievement in mathematics: Longitudinal evidence from Canada," Economics of Education Review, Elsevier, vol. 30(1), pages 79-98, February.
    8. Black, Philip & Calitz, Estian & Steenekamp, Tjaart & Siebrits, Krige (ed.), 2011. "Public Economics," OUP Catalogue, Oxford University Press, edition 5, number 9780195995152.
    9. Susan Athey & Guido W. Imbens, 2006. "Identification and Inference in Nonlinear Difference-in-Differences Models," Econometrica, Econometric Society, vol. 74(2), pages 431-497, March.
    10. Murnane, Richard J & Willett, John B & Levy, Frank, 1995. "The Growing Importance of Cognitive Skills in Wage Determination," The Review of Economics and Statistics, MIT Press, vol. 77(2), pages 251-266, May.
    11. repec:mpr:mprres:6676 is not listed on IDEAS
    12. Ingram, Beth F. & Neumann, George R., 2006. "The returns to skill," Labour Economics, Elsevier, vol. 13(1), pages 35-59, February.
    13. repec:mpr:mprres:7293 is not listed on IDEAS
    14. repec:mpr:mprres:6720 is not listed on IDEAS
    15. Richard J. Murnane & John B. Willett & Yves Duhaldeborde & John H. Tyler, 2000. "How important are the cognitive skills of teenagers in predicting subsequent earnings?," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 19(4), pages 547-568.
    16. James J. Heckman & Hidehiko Ichimura & Petra Todd, 1998. "Matching As An Econometric Evaluation Estimator," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 65(2), pages 261-294.
    17. John Deke & Joshua Haimson, "undated". "Valuing Student Competencies: Which Ones Predict Postsecondary Educational Attainment and Earnings, and for Whom?," Mathematica Policy Research Reports be1c67f2201f4640b7381c0fa, Mathematica Policy Research.
    18. Yona Rubinstein & James J. Heckman, 2001. "The Importance of Noncognitive Skills: Lessons from the GED Testing Program," American Economic Review, American Economic Association, vol. 91(2), pages 145-149, May.
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    1. Fungerar friare, icke-traditionell matematikundervisning bättre?
      by bergh in Berghs Betraktelser on 2014-04-24 15:05:26

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    More about this item

    Keywords

    School reform; Math achievements; DID and CIC estimators;
    All these keywords.

    JEL classification:

    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • I28 - Health, Education, and Welfare - - Education - - - Government Policy

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