Higher Education

, Volume 70, Issue 6, pp 903–921 | Cite as

University access for disadvantaged children: a comparison across countries

Article

Abstract

In this paper, we consider whether certain countries are particularly adept (or particularly poor) at getting children from disadvantaged homes to study for a bachelor’s degree. A series of university access models are estimated for four English-speaking countries (England, Canada, Australia and the USA), which include controls for comparable measures of academic achievement at age 15. Our results suggest that socioeconomic differences in university access are more pronounced in England and Canada than Australia and the USA and that cross-national variation in the socioeconomic gap remains even once we take account of differences in academic achievement. We discuss the implications of our findings for the creation of more socially mobile societies.

Keywords

University access Educational inequality Social mobility PISA 

References

  1. Anders, J. (2012). The link between household income, university applications and university attendance. Fiscal Studies, 33(2), 185–210.Google Scholar
  2. Belley, P., & Lochner, L. (2007). The changing role of family income and ability in determining educational achievement. Journal of Human Capital, 1(1), 37–89.CrossRefGoogle Scholar
  3. Berger, J.; Motte, A. & Parkin, A. (2008). The price of knowledge: Access and student finance in Canada. The Canada Millennium Scholarship Foundation.Google Scholar
  4. Black, D. (2006). Estimating the returns to college quality with multiple proxies for quality. Journal of Labor Economics, 24(3), 701–728.CrossRefGoogle Scholar
  5. Blanden, Jo. (2013). Cross-national rankings of intergenerational mobility: A comparison of approaches from economics and sociology. Journal of Economic Surveys, 27(1), 38–73.Google Scholar
  6. Boliver, V. (2013). How fair is access to more prestigious UK Universities?. British Journal of Sociology, 64(2), 344–364.Google Scholar
  7. Cameron, S., & Heckman, J. (2001). The dynamics of educational attainment for Black, Hispanic, and White males. Journal of Political Economy, 109(3), 455–499.CrossRefGoogle Scholar
  8. Cardak, B., & Ryan, C. (2009). Participation in higher education in australia: Equity and access. The Economic Record, 85(271), 433–448.CrossRefGoogle Scholar
  9. Carneiro, P., & Heckman, J. (2002). The evidence on credit constraints in post-secondary schooling. Economic Journal, 112(482), 705–734.Google Scholar
  10. Chapman, B., & Ryan, C. (2005). The access implications of income contingent charges for higher education: Lessons from Australia. Economics of Education Review, 24(5), 491–512.CrossRefGoogle Scholar
  11. Chevalier, A. & Conlon, G. (2003). Does it pay to attend a prestigious university?, Centre for the Economics of Education (CEE) Discussion paper Number 33. http://cee.lse.ac.uk/ceedps/ceedp22.pdf. Accessed 18th October 2012.
  12. Chowdry, H., Crawford, C., Dearden, L., Goodman, A., & Vignoles, A. (2013). Widening participation in higher education: Analysis using linked administrative data. Journal of the Royal Statistical Society Series A, 176(2), 431–57.Google Scholar
  13. Cunha, F., Heckman, J., & Lochner, L. (2006). Interpreting the evidence on life cycle skill formation. In Eric Hanushek & Finis Welch (Eds.), Handbook of the economics of education. Amsterdam: Holland North.Google Scholar
  14. Ermisch, J., & Del Bono, E. (2012). Inequality in Achievements during Adolescence. In J. Ermisch, M. Jantti, & T. Smeeding (Eds.), Inequality from childhood to adulthood: A cross-national perspective on the transmission of advantage. New York: Russell Sage Foundation.Google Scholar
  15. Ermisch, J., Jantti, M., & Smeeding, T. (2012). Inequality from childhood to adulthood: A cross-national perspective on the transmission of advantage. New York: Russell Sage Foundation.Google Scholar
  16. Finnie, R. & Mueller, R. (2008). The effects of family income, parental education and other background factors on access to post-secondary education in Canada: Evidence from the YITS’, MESA research paper 2008-2. http://higheredstrategy.com/mesa/pub/pdf/MESA_Finnie_Mueller.pdf. Accessed 25th October 2012.
  17. Groot, W. & van den Brink,H. (2006). What does education do to our health? measuring the effects of education on health and civic engagement: Proceedings of the Copenhagen Symposium. http://www.oecd.org/edu/innovation-education/37425763.pdf. Accessed 16 Jan 2014.
  18. Haveman, R., & Wolfe, B. (1995). The determinants of children’s attainments: A Review of methods and findings. Journal of Economic Literature, 33(4), 1829–1878.Google Scholar
  19. Hoekstra, M. (2009). The effect of attending the flagship state university on earnings: A discontinuity-based approach. The Review of Economics and Statistics, 91(4), 717–724.CrossRefGoogle Scholar
  20. Ingels, S., Pratt, D., Rogers, J., Siegel, P., & Stutts, E. (2005). ‘Education longitudinal study of 2002: Base-year to first follow-up data file documentation’, US department of education. Washington, DC: National Center for Education Statistics.Google Scholar
  21. Jackson, M. (2013). Determined to succeed performance versus choice in educational attainment. Stanford: Stanford University Press.CrossRefGoogle Scholar
  22. Jackson, M., Erikson, R., Goldthorpe, J., & Yaish, M. (2007). Primary and secondary effects in class differentials in educational attainment: The transition to A-level courses in England and Wales. Acta Sociologica, 50(3), 211–229.CrossRefGoogle Scholar
  23. Jerrim, J. (2013). The reliability of trends over time in international education test scores: Is the performance of England’s secondary school pupils really in relative decline? Journal of Social Policy, 42(2), 259–279.CrossRefGoogle Scholar
  24. Le, A., & Miller, P. (2005). Participation in higher education: Equity and access. The Economic Record, 81(253), 152–165.CrossRefGoogle Scholar
  25. Long, B., & Kurlaender, M. (2009). Do community colleges provide a viable pathway to a baccalaureate degree? Educational Evaluation and Policy Analysis, 31(1), 30–53.CrossRefGoogle Scholar
  26. Marcenaro-Gutierrez, O., Galindo-Rueda, F., & Vignoles. A. (2007). Who actually goes to University?. Empirical Economics, 32(2), 333–357.Google Scholar
  27. Micklewright, J. & Schnepf, S. (2006). Response bias in England in PISA 2000 and 2003, department for education and skills Research Report 771. www.education.gov.uk/publications/eOrderingDownload/RR771.pdf. Accessed 18th October 2012.
  28. Micklewright, J., Schnepf, S. & Skinner, C. (2010) Non-response biases in surveys of school children: The case of the english PISA samples, DoQSS working paper. http://ideas.repec.org/p/qss/dqsswp/1004.html. Accessed 26th Nov 2012.
  29. Micklewright, J., Schnepf, S., & Skinner, C. (2012). Non-response biases in surveys of school children: The case of the english PISA samples. Journal of the Royal Statistical Society Series A, 175(4), 915–938.CrossRefGoogle Scholar
  30. OECD. (2008). Education at a glance 2008: OECD indicators. Paris: OECD.Google Scholar
  31. OECD (2011). stats.oecd.org.
  32. OECD. (2012). Education at a glance 2012: OECD indicators. Paris: OECD.Google Scholar
  33. PISA (2009). Programme for International Student Assessment. OECD: Paris.Google Scholar
  34. Smeeding, T., Erikson, R., & Jantti, M. (2011). Persistence, privilege and parenting: The comparative study of intergenerational mobility. New York: Russell Sage Foundation.Google Scholar

Copyright information

© Springer Science+Business Media Dordrecht 2015

Authors and Affiliations

  1. 1.Department of Quantitative Social Science, Institute of EducationUniversity of LondonLondonUK
  2. 2.University of CambridgeCambridgeUK

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