IDEAS home Printed from https://ideas.repec.org/p/iza/izadps/dp7237.html
   My bibliography  Save this paper

A Structural Model of Educational Attainment in Canada

Author

Listed:
  • Hansen, Jörgen

    (Concordia University)

  • Liu, Xingfei

    (University of Alberta)

Abstract

In this paper, we develop and estimate a structural, dynamic model of schooling decisions using data extracted from the Canadian Youth in Transition Survey (YITS). The model incorporates forward-looking behavior and expectations about future benefits from investing in education. The results suggest that the effect of an increase in parental income on educational attainment is modest. For example, a 25 percent increase in parental income is predicted to increase post-secondary education (PSE) attendance by one percent only. However, our results indicate that financial resources, other than parental income, play a role in PSE enrollment. In particular, our model predicts that an increase in PSE tuition fees by $2,500 per grade level (for grade 13 and above) will reduce attendance in these grades by almost 9 percentage points for males and by 6.5 percentage points for females. We also simulate the impacts of changes in Programme for International Student Assessment (PISA) reading scores. Specifically, an increase of test scores with one standard deviation (which is comparable to the difference in average score for high school drop-outs and those with some PSE) increases PSE attendance by 10.2 percentage points for males and by 6.6 percentage points for females. At the same time, high school dropout rates are predicted to fall by 3.2 percentage points for males and by 2.8 percentage points for females. We also take advantage of the dynamics of the model and explore how a 25 percent increase in future wages for PSE students will affect current schooling decisions. This leads to an increase in PSE attendance by 2.2 percentage points for males and by 3.1 percentage points for females.

Suggested Citation

  • Hansen, Jörgen & Liu, Xingfei, 2013. "A Structural Model of Educational Attainment in Canada," IZA Discussion Papers 7237, Institute of Labor Economics (IZA).
    • Handle: RePEc:iza:izadps:dp7237
    as

    Download full text from publisher

    File URL: https://docs.iza.org/dp7237.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. Maud Rivard & Mélanie Raymond, "undated". "The Effect of Tuition Fees on Post-secondary Education in Canada in the late 1990s," Working Papers-Department of Finance Canada 2004-09, Department of Finance Canada.
    3. Lauer, Charlotte, 2003. "Family background, cohort and education: A French-German comparison based on a multivariate ordered probit model of educational attainment," Labour Economics, Elsevier, vol. 10(2), pages 231-251, April.
    4. James McIntosh & Martin Munk, 2007. "Scholastic ability vs family background in educational success: evidence from Danish sample survey data," Journal of Population Economics, Springer;European Society for Population Economics, vol. 20(1), pages 101-120, February.
    5. Kenneth I. Wolpin & Petra E. Todd, 2006. "Assessing the Impact of a School Subsidy Program in Mexico: Using a Social Experiment to Validate a Dynamic Behavioral Model of Child Schooling and Fertility," American Economic Review, American Economic Association, vol. 96(5), pages 1384-1417, December.
    6. Michael P. Keane, 2010. "A Structural Perspective on the Experimentalist School," Journal of Economic Perspectives, American Economic Association, vol. 24(2), pages 47-58, Spring.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.

    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. Sebastian Galiani & Juan Pantano, 2021. "Structural Models: Inception and Frontier," NBER Working Papers 28698, National Bureau of Economic Research, Inc.
    2. Haan, Peter & Prowse, Victoria L., 2010. "The Design of Unemployment Transfers: Evidence from a Dynamic Structural Life-Cycle Model," IZA Discussion Papers 4792, Institute of Labor Economics (IZA).
    3. Michael P. Keane, 2015. "Effects Of Permanent And Transitory Tax Changes In A Life‐Cycle Labor Supply Model With Human Capital," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 56(2), pages 485-503, May.
    4. Aguirregabiria, Victor & Mira, Pedro, 2010. "Dynamic discrete choice structural models: A survey," Journal of Econometrics, Elsevier, vol. 156(1), pages 38-67, May.
    5. Melissa Tartari, 2015. "Divorce And The Cognitive Achievement Of Children," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 56(2), pages 597-645, May.
    6. Christian Belzil & Jorgen Hansen & Xingfei Liu, 2017. "Dynamic skill accumulation, education policies, and the return to schooling," Quantitative Economics, Econometric Society, vol. 8(3), pages 895-927, November.
    7. Robert M. Sauer, 2015. "Does It Pay For Women To Volunteer?," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 56(2), pages 537-564, May.
    8. Cohen-Goldner, Sarit & Eckstein, Zvi, 2010. "Estimating the return to training and occupational experience: The case of female immigrants," Journal of Econometrics, Elsevier, vol. 156(1), pages 86-105, May.
    9. Elena Mattana & Juanna Joensen, 2014. "Student Aid, Academic Achievement, and Labor Market Behavior: Grants or Loans?," 2014 Meeting Papers 707, Society for Economic Dynamics.
    10. Michael P. Keane & Kenneth I. Wolpin, 2009. "Empirical Applications of Discrete Choice Dynamic Programming Models," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 12(1), pages 1-22, January.
    11. Hugo Reis, 2020. "Girls' Schooling Choices And Home Production: Evidence From Pakistan," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 61(2), pages 783-819, May.
    12. Attanasio, Orazio P. & Kaufmann, Katja M., 2014. "Education choices and returns to schooling: Mothers' and youths' subjective expectations and their role by gender," Journal of Development Economics, Elsevier, vol. 109(C), pages 203-216.
    13. Jack Britton & Ben Waltmann, 2021. "Revisiting the solution of dynamic discrete choice models: time to bring back Keane and Wolpin (1994)?," IFS Working Papers W21/13, Institute for Fiscal Studies.
    14. Richard Blundell, 2017. "What Have We Learned from Structural Models?," American Economic Review, American Economic Association, vol. 107(5), pages 287-292, May.
    15. Pierre Lefebvre & Philip Merrigan, 2008. "Family Background, Family Income, Cognitive Tests Scores, Behavioural Scales and their Relationship with Post-secondary Education Participation: Evidence from the NLSCY," Cahiers de recherche 0830, CIRPEE.
    16. Philipp Eisenhauer & Lena Janys & Christopher Walsh & Janós Gabler, 2023. "Structural Models for Policy-Making," CRC TR 224 Discussion Paper Series crctr224_2023_484, University of Bonn and University of Mannheim, Germany.
    17. Matteo Bobba & Luca Flabbi & Santiago Levy, 2022. "Labor Market Search, Informality, And Schooling Investments," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 63(1), pages 211-259, February.
    18. Suqin Ge, 2011. "Women's College Decisions: How Much Does Marriage Matter?," Journal of Labor Economics, University of Chicago Press, vol. 29(4), pages 773-818.
    19. Heckman, James J. & Raut, Lakshmi K., 2016. "Intergenerational long-term effects of preschool-structural estimates from a discrete dynamic programming model," Journal of Econometrics, Elsevier, vol. 191(1), pages 164-175.
    20. Philipp Eisenhauer & Janos Gabler & Lena Janys, 2021. "Structural Models for Policy-Making: Coping with Parametric Uncertainty," ECONtribute Discussion Papers Series 082, University of Bonn and University of Cologne, Germany.

    More about this item

    Keywords

    educational attainment; structural estimation; forward-looking behavior; parental income; tuition fees; cognitive ability;
    All these keywords.

    JEL classification:

    • J01 - Labor and Demographic Economics - - General - - - Labor Economics: General
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    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:iza:izadps:dp7237. 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: Holger Hinte (email available below). General contact details of provider: https://edirc.repec.org/data/izaaade.html .

    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.