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Family Income and Participation in Post-Secondary Education

Author

Listed:
  • Corak, Miles

    (CUNY Graduate Center)

  • Lipps, Garth

    (Statistics Canada)

  • Zhao, John

    (Statistics Canada)

Abstract

The relationship between family income and post-secondary participation is studied in order to determine the extent to which higher education in Canada has increasingly become the domain of students from well-to-do families. An analysis of two separate data sets suggests that individuals from higher income families are much more likely to attend university, but this has been a long-standing tendency and the participation gap between students from the highest and lowest income families has in fact narrowed. The relationship between family income and post-secondary participation did become stronger during the early to mid 1990s, but weakened thereafter. This pattern reflects the fact that policy changes increasing the maximum amount of a student loan as well as increases in other forms of support occurred only after tuition fees had already started increasing.

Suggested Citation

  • Corak, Miles & Lipps, Garth & Zhao, John, 2004. "Family Income and Participation in Post-Secondary Education," IZA Discussion Papers 977, Institute of Labor Economics (IZA).
    • Handle: RePEc:iza:izadps:dp977
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    1. Angrist, Joshua D, 2001. "Estimations of Limited Dependent Variable Models with Dummy Endogenous Regressors: Simple Strategies for Empirical Practice," Journal of Business & Economic Statistics, American Statistical Association, vol. 19(1), pages 2-16, January.
    2. Moffitt, Robert A., 1999. "New developments in econometric methods for labor market analysis," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 24, pages 1367-1397, Elsevier.
    3. Joshua D. Angrist & Alan B. Krueger, 1993. "Split Sample Instrumental Variables," Working Papers 699, Princeton University, Department of Economics, Industrial Relations Section..
    4. Angrist, Joshua D & Krueger, Alan B, 1995. "Split-Sample Instrumental Variables Estimates of the Return to Schooling," Journal of Business & Economic Statistics, American Statistical Association, vol. 13(2), pages 225-235, April.
    5. Zimmerman, David J, 1992. "Regression toward Mediocrity in Economic Stature," American Economic Review, American Economic Association, vol. 82(3), pages 409-429, June.
    6. Bjorklund, Anders & Jantti, Markus, 1997. "Intergenerational Income Mobility in Sweden Compared to the United States," American Economic Review, American Economic Association, vol. 87(5), pages 1009-1018, December.
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    More about this item

    Keywords

    intergenerational mobility; educational finance; university;
    All these keywords.

    JEL classification:

    • I2 - Health, Education, and Welfare - - Education
    • J62 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Job, Occupational and Intergenerational Mobility; Promotion

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