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Higher Education

, Volume 75, Issue 4, pp 565–587 | Cite as

Decomposing ethnic differences in university academic achievement in New Zealand

  • Zhaoyi Cao
  • Tim Maloney
Article

Abstract

We use individual-level administrative data to examine the extent and potential explanations for the relatively poorer academic performance of three ethnic minority groups in their first year of study at a New Zealand university. Substantial differences in course completion rates and letter grades are found for Māori, Pasifika, and Asian students relative to their European counterparts. These large and significant gaps persist in the face of alternative definitions of ethnicity and sample restrictions. We use regression analysis and formal decomposition techniques to test whether differences in other personal characteristics, high school backgrounds, and university enrollment patterns might account for these ethnic disparities in early academic achievement. We estimate that no more than one quarter of the relatively poorer performance of Māori and Pasifika students would be eliminated if they had the same relevant observable factors of European students. Substantial unexplained ethnic differences in early academic performance at university raise concerns about appropriate policies to close ethnic gaps in academic achievement at university.

Keywords

Higher education University academic achievement Ethnic differences or disparities Decomposition techniques New Zealand 

JEL classifications

I23 I24 I28 and J71 

Notes

Acknowledgements

Access to the data used in this study was provided by a public university in New Zealand for the agreed purposes of this research project. The interpretations of the results presented in this study are those of the authors and do not reflect the views of this anonymous university. We wish to thank two anonymous referees of this journal for the useful feedback on an earlier version of this paper.

References

  1. Belloc, F., Maruotti, A., & Petrella, L. (2010). University drop-out: an Italian experience. Higher Education, 60(2), 127–138.CrossRefGoogle Scholar
  2. Blinder, A. S. (1973). Wage discrimination: reduced form and structural estimates. Journal of Human Resources, 8(4), 436–455.CrossRefGoogle Scholar
  3. Cyrenne, P., & Chan, A. (2012). High school grades and university performance: a case study. Economics of Education Review, 31(5), 524–542.CrossRefGoogle Scholar
  4. Fairlie, R. W. (1999). The absence of the African-American owned business: an analysis of the dynamics of self-employment. Journal of Labor Economics, 17(1), 80–108.CrossRefGoogle Scholar
  5. Fairlie, R. W. (2003). An extension of the Blinder-Oaxaca decomposition technique to logit and probit models. Connecticut: Economic Growth Center, Yale University Discussion paper number 873.Google Scholar
  6. Fletcher, J. M., & Tienda, M. (2010). Race and ethnic differences in college achievement: does high school attended matter? The Annals of the American Academy of Political and Social Science, 627(1), 144–166.CrossRefGoogle Scholar
  7. Howe, K. R. (2003). The quest for origins: who first discovered and settled the Pacific islands? Honolulu: University of Hawaii Press.Google Scholar
  8. Jia, P., & Maloney, T. (2015). Using predictive modelling to identify students at risk of poor university outcomes. Higher Education, 70, 127–149.CrossRefGoogle Scholar
  9. Juhong, B., & Maloney, T. (2006). Ethnicity and academic success at university. New Zealand Economic Papers, 40(2), 181–213.CrossRefGoogle Scholar
  10. Kao, G., & Thompson, J. S. (2003). Racial and ethnic stratification in educational achievement and attainment. Annual Review of Sociology, 29, 417–442.CrossRefGoogle Scholar
  11. Massey, D. S. (2006). Social background and academic performance differentials: white and minority students in selective colleges. American Law and Economic Review, 8(2), 390–409.CrossRefGoogle Scholar
  12. Ministry of Education and Ministry of Business, Innovation and Employment (2014). Tertiary education strategy 2014–2019. Wellington, New Zealand. http://www.nbr.co.nz/sites/default/files/Tertiary%20Education%20Strategy.pdf.
  13. Neumark, D. (1988). Employers’ discriminatory behavior and the estimation of wage discrimination. Journal of Human Resources, 23, 279–295.CrossRefGoogle Scholar
  14. Oaxaca, R. (1973). Male-female wage differentials in urban labor markets. International Eonomic Review, 14(3), 693–709.CrossRefGoogle Scholar
  15. Oaxaca, R., & Ransom, M. (1994). On discrimination and the decomposition of wage differentials. Journal of Econometrics, 61, 5–21.CrossRefGoogle Scholar
  16. Rask, K. (2010). Attrition in STEM fields at a liberal arts college: the importance of grades and pre-collegiate preferences. Economics of Education Review, 29(6), 892–900.CrossRefGoogle Scholar
  17. Rodgers, T. (2013). Should high non-completion rates amongst ethnic minority students be seen as an ethnicity issue? Evidence from a case study of a student cohort from a British university. Higher Education, 66(5), 535–550.CrossRefGoogle Scholar
  18. Scott, D. (2005). Retention, completion and progression in tertiary education in New Zealand. Journal of Higher Education Policy and Management, 27(1), 3–17.CrossRefGoogle Scholar
  19. Singell, L. D., & Waddell, G. R. (2010). Modeling retention at a large public university: can at-risk students be identified early enough to treat? Research in Higher Education, 51(6), 546–572.CrossRefGoogle Scholar
  20. Tertiary Education Commission (2014). Guidance for universities 2015–2017. Wellington, New Zealand. http://www.tec.govt.nz/Documents/Forms%20Templates%20and%20 Guides/Universities-Plan-Guidance-2014.doc.
  21. Tumen, S., Shulruf, B., & Hattie, J. (2008). Student pathways at the university: patterns and predicters of completion. Studies in Higher Education, 33(3), 233–252.CrossRefGoogle Scholar
  22. Victoria University of Wellington (2014) Victoria University Investment Plan 2015–2017. Wellington, New Zealand. http://www.victoria.ac.nz/about/publications/investment-plan2/investment-plan.pdf.

Copyright information

© Springer Science+Business Media B.V. 2017

Authors and Affiliations

  1. 1.School of Economics, Faculty of Business, Economics and LawAuckland University of TechnologyAucklandNew Zealand

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