IDEAS home Printed from https://ideas.repec.org/p/hal/journl/halshs-00168286.html
   My bibliography  Save this paper

Un modèle économétrique dynamique de l'abandon scolaire au Québec et en Ontario

Author

Listed:
  • Christian Belzil

    (GATE - Groupe d'analyse et de théorie économique - UL2 - Université Lumière - Lyon 2 - ENS LSH - Ecole Normale Supérieure Lettres et Sciences Humaines - CNRS - Centre National de la Recherche Scientifique)

Abstract

In this paper, I investigate the Quebec-Ontario school drop-out rate differential using a dynamic model of schooling attainment. The model stresses three distinct set of factors, parental education (or other family background variables), gender differences and unobserved (to the econometrician) factors. In both Quebec and Ontario, the school drop out rate is found to decrease with parental education. However, the male-female differential in the incidence of school drop-out in Quebec is much higher than it is in Ontario. Furthermore, this higher incidence is not explained by interactions between gender and family background. Finally, an econometric analysis of post schooling wages indicates that, when compared to those who have completed high school only, school drop outs are not penalized for dropping out. Dans cette étude, j’analyse les raisons qui expliquent pourquoi le taux d’abandon scolaire québécois est plus élevé que la moyenne nationale et, en particulier, beaucoup plus élevé qu’en Ontario (la province auquelle le Québec se compare tout naturellement). Le modèle économétrique est construit autour de groupes de trois facteurs fondamentaux ; le niveau d’éducation des parents et / ou d’autres caractéristiques familiales, le sexe ainsi que l’hétérogénéité non observée et permet de déterminer jusqu’à quel point le différentiel positif entre le Québec et l’Ontario est d’un niveau normalement attendu, étant donné d’une part les différences de richesse entre les deux provinces et d’autre part la forte corrélation entre l’éducation des parents et des enfants (mesurée dans beaucoup de pays). Les résultats indiquent qu’au Québec, tout comme en Ontario, l’incidence de l’abandon scolaire décroît avec le niveau d’éducation des parents et est moins élevé chez ceux qui ont été élevés dans une famille unie. Au Québec, et contrairement à l’Ontario, l’incidence de l’abandon scolaire est beaucoup plus élevée chez les garçons. Le plus haut taux d’abandon scolaire chez les garçon
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Christian Belzil, 2004. "Un modèle économétrique dynamique de l'abandon scolaire au Québec et en Ontario," Post-Print halshs-00168286, HAL.
    • Handle: RePEc:hal:journl:halshs-00168286
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Stephen V. Cameron & James J. Heckman, 1998. "Life Cycle Schooling and Dynamic Selection Bias: Models and Evidence for Five Cohorts of American Males," Journal of Political Economy, University of Chicago Press, vol. 106(2), pages 262-333, April.
    2. Kenneth I. Wolpin & Mark R. Rosenzweig, 2000. "Natural "Natural Experiments" in Economics," Journal of Economic Literature, American Economic Association, vol. 38(4), pages 827-874, December.
    3. Belzil, Christian & Hansen, Jörgen, 2003. "Structural Estimates of the Intergenerational Education Correlation," IZA Discussion Papers 973, Institute of Labor Economics (IZA).
    4. Christian Belzil & Jörgen Hansen, 2002. "Unobserved Ability and the Return to Schooling," Econometrica, Econometric Society, vol. 70(5), pages 2075-2091, September.
    5. Keane, Michael P & Wolpin, Kenneth I, 1997. "The Career Decisions of Young Men," Journal of Political Economy, University of Chicago Press, vol. 105(3), pages 473-522, June.
    6. Stephen V. Cameron & James J. Heckman, 1998. "Life Cycle Schooling and Dynamic Selection Bias: Models and Evidence for Five Cohorts," NBER Working Papers 6385, National Bureau of Economic Research, Inc.
    7. Robert M. Sauer, 2004. "Educational Financing and Lifetime Earnings," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 71(4), pages 1189-1216.
    8. Stephen V. Cameron & James J. Heckman, 2001. "The Dynamics of Educational Attainment for Black, Hispanic, and White Males," Journal of Political Economy, University of Chicago Press, vol. 109(3), pages 455-499, June.
    9. Daniel Parent, 2002. "La Prime Associée au Diplôme d'Études Secondaires et le Décrochage Scolaire au Canada," CIRANO Project Reports 2002rp-05, CIRANO.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Belzil, Christian, 2007. "The return to schooling in structural dynamic models: a survey," European Economic Review, Elsevier, vol. 51(5), pages 1059-1105, July.
    2. Christian Belzil, 2008. "Testing the Specification of the Mincer Wage Equation," Annals of Economics and Statistics, GENES, issue 91-92, pages 427-451.
    3. Belzil, Christian & Hansen, Jorgen, 2007. "A structural analysis of the correlated random coefficient wage regression model," Journal of Econometrics, Elsevier, vol. 140(2), pages 827-848, October.
    4. Christian Belzil & Jörgen Hansen, 2004. "Earnings Dispersion, Risk Aversion And Education," Research in Labor Economics, in: Accounting for Worker Well-Being, pages 335-358, Emerald Group Publishing Limited.
    5. Belzil, Christian & Leonardi, Marco, 2007. "Can risk aversion explain schooling attainments? Evidence from Italy," Labour Economics, Elsevier, vol. 14(6), pages 957-970, December.
    6. Ge, Suqin, 2013. "Estimating the returns to schooling: Implications from a dynamic discrete choice model," Labour Economics, Elsevier, vol. 20(C), pages 92-105.
    7. Christian Belzil & Marco Leonardi, 2013. "Risk Aversion and Schooling Decisions," Annals of Economics and Statistics, GENES, issue 111-112, pages 35-70.
    8. Christian Belzil & Jörgen Hansen, 2020. "The evolution of the US family income–schooling relationship and educational selectivity," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(7), pages 841-859, November.
    9. Mario Fiorini, 2012. "Fostering Educational Enrolment Through Subsidies: The Issue Of Timing," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 27(5), pages 741-772, August.
    10. Magali Beffy & Denis Fougère & Arnaud Maurel, 2012. "Choosing the Field of Study in Postsecondary Education: Do Expected Earnings Matter?," The Review of Economics and Statistics, MIT Press, vol. 94(1), pages 334-347, February.
    11. Christian Belzil & Michael Bognanno, 2010. "The promotion dynamics of American executives," Research in Labor Economics, in: Jobs, Training, and Worker Well-being, pages 189-231, Emerald Group Publishing Limited.
    12. Christian Belzil & Jörgen Hansen, 2001. "Heterogeneous Returns to Human Capital and Dynamic Self-Selection," CIRANO Working Papers 2001s-10, CIRANO.
    13. Belzil, Christian & Hansen, Jörgen, 2005. "A Structural Analysis of the Correlated Random Coefficient Wage Regression Model with an Application to the OLS-IV Puzzle," IZA Discussion Papers 1585, Institute of Labor Economics (IZA).
    14. Keane, Michael P. & Todd, Petra E. & Wolpin, Kenneth I., 2011. "The Structural Estimation of Behavioral Models: Discrete Choice Dynamic Programming Methods and Applications," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 4, chapter 4, pages 331-461, Elsevier.
    15. Salvador Navarro, 2011. "Using Observed Choices to Infer Agent's Information: Reconsidering the Importance of Borrowing Constraints, Uncertainty and Preferences in College Attendance," University of Western Ontario, Centre for Human Capital and Productivity (CHCP) Working Papers 20118, University of Western Ontario, Centre for Human Capital and Productivity (CHCP).
    16. Christian Belzil & Arnaud Maurel & Modibo Sidibé, 2021. "Estimating the Value of Higher Education Financial Aid: Evidence from a Field Experiment," Journal of Labor Economics, University of Chicago Press, vol. 39(2), pages 361-395.
    17. Fernández, Raquel & Wong, Joyce Cheng, 2011. "The Disappearing Gender Gap: The Impact of Divorce, Wages, and Preferences on Education Choices and Women's Work," IZA Discussion Papers 6046, Institute of Labor Economics (IZA).
    18. Raaum, Oddbjørn & Rogstad, Jon & Røed, Knut & Westlie, Lars, 2009. "Young and out: An application of a prospects-based concept of social exclusion," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 38(1), pages 173-187, January.
    19. Dionissi Aliprantis, 2017. "Human capital in the inner city," Empirical Economics, Springer, vol. 53(3), pages 1125-1169, November.
    20. Orazio Attanasio & Katja Kaufmann, 2009. "Educational Choices, Subjective Expectations, and Credit Constraints," NBER Working Papers 15087, National Bureau of Economic Research, Inc.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hal:journl:halshs-00168286. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.