Advanced Search
MyIDEAS: Login

How inequality of opportunity and mean student performance are related? - A quantile regression approach using PISA data

Contents:

Author Info

  • Zoltan Hermann

    ()
    (Institute of Economics - Hungarian Academy of Sciences)

  • Daniel Horn

    ()
    (Institute of Economics - Hungarian Academy of Sciences)

Abstract

Previous research provided ambiguous results on the association between average student performance and inequality of opportunity, as measured by the effect of family background on student achievement. In this paper we explore this association distinguishing between inequality of opportunity at the bottom and the top of the score distribution using a two step method. In the first step, we use quantile regression models to estimate the family background effect at different points of the distribution within each country in PISA 2000-2009. In the second step, we analyse the association between these estimates and the mean achievement of countries. Both cross-section and country fixed-effect estimates indicate that while there is no clear pattern for the bottom of the distribution, lower inequality of opportunity at the top of the distribution goes strongly together with higher mean achievement. In other words, countries where family background has a weaker impact on achievement among the most able students tend to perform better. In short, there is indeed a positive association between equality of opportunity and mean student performance, at least for some groups of students.

Download Info

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
File URL: http://econ.core.hu/file/download/mtdp/MTDP1124.pdf
Download Restriction: no

Bibliographic Info

Paper provided by Institute of Economics, Centre for Economic and Regional Studies, Hungarian Academy of Sciences in its series IEHAS Discussion Papers with number 1124.

as in new window
Length: 34 pages
Date of creation: May 2011
Date of revision:
Handle: RePEc:has:discpr:1124

Contact details of provider:
Postal: 1112 Budapest, Budaorsi ut 45.
Phone: (+36-1) 309-2652
Fax: (36-1) 319-3136
Web page: http://econ.core.hu
More information through EDIRC

Related research

Keywords: equality of opportunity; educational performance; quantile regression; PISA;

Find related papers by JEL classification:

This paper has been announced in the following NEP Reports:

References

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
as in new window
  1. Ludger Woessmann, 2004. "How Equal Are Educational Opportunities? Family Background and Student Achievement in Europe and the United States," CESifo Working Paper Series 1162, CESifo Group Munich.
  2. Eric A. Hanushek & Ludger Wößmann, 2005. "Does Education Tracking Affect Performance and Inequality? Differences-In-Differences Evidence Across Countries," Discussion Papers 04-026, Stanford Institute for Economic Policy Research.
  3. Koenker,Roger, 2005. "Quantile Regression," Cambridge Books, Cambridge University Press, number 9780521845731, November.
  4. Gabriela Schütz & Heinrich W. Ursprung & Ludger Wö�mann, 2008. "Education Policy and Equality of Opportunity," Kyklos, Wiley Blackwell, vol. 61(2), pages 279-308, 05.
  5. Fuchs, Thomas & Woessmann, Ludger, 2004. "What Accounts for International Differences in Student Performance? A Re-Examination Using PISA Data," IZA Discussion Papers 1287, Institute for the Study of Labor (IZA).
  6. Fertig, Michael & Schmidt, Christoph M., 2002. "The Role of Background Factors for Reading Literacy: Straight National Scores in the PISA 2000 Study," IZA Discussion Papers 545, Institute for the Study of Labor (IZA).
  7. Cecilia Garcia-Penalosa & Eve Caroli & Philippe Aghion, 1999. "Inequality and Economic Growth: The Perspective of the New Growth Theories," Journal of Economic Literature, American Economic Association, vol. 37(4), pages 1615-1660, December.
  8. Richard B. Freeman & Stephen Machin & Martina Viarengo, 2010. "Variation in Educational Outcomes and Policies across Countries and of Schools within Countries," NBER Working Papers 16293, National Bureau of Economic Research, Inc.
  9. Andreas Ammermueller, 2007. "PISA: What makes the difference?," Empirical Economics, Springer, vol. 33(2), pages 263-287, September.
  10. Eric A. Hanushek & Ludger Woessmann, 2008. "The Role of Cognitive Skills in Economic Development," Journal of Economic Literature, American Economic Association, vol. 46(3), pages 607-68, September.
  11. Cunha, Flavio & Heckman, James J. & Lochner, Lance, 2006. "Interpreting the Evidence on Life Cycle Skill Formation," Handbook of the Economics of Education, Elsevier.
  12. Fertig, Michael, 2003. "Who's to Blame? The Determinants of German Students' Achievement in the PISA 2000 Study," IZA Discussion Papers 739, Institute for the Study of Labor (IZA).
  13. Ludger Wößmann, 2008. "Efficiency and equity of European education and training policies," International Tax and Public Finance, Springer, vol. 15(2), pages 199-230, April.
  14. Carneiro, Pedro & Heckman, James J., 2003. "Human Capital Policy," IZA Discussion Papers 821, Institute for the Study of Labor (IZA).
  15. Daniel Aaronson & Lisa Barrow & William Sander, 2002. "Teachers and student achievement in the Chicago public high schools," Working Paper Series WP-02-28, Federal Reserve Bank of Chicago.
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 in new window

Cited by:
  1. John Jerrim & Álvaro Choi, 2013. "The mathematics skills of school children: how does England compare to the high performing east Asian jurisdictions?," Working Papers 2013/12, Institut d'Economia de Barcelona (IEB).
  2. Jerrim, J. & John Micklewright, 2013. "GINI DP 65: Socioeconomic gradients in children’s cognitive skills: are cross-country comparisons robust to who reports family background?," GINI Discussion Papers 65, AIAS, Amsterdam Institute for Advanced Labour Studies.

Lists

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

Statistics

Access and download statistics

Corrections

When requesting a correction, please mention this item's handle: RePEc:has:discpr:1124. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Adrienn Foldi).

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 references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link 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 profile, as there may be some citations waiting for confirmation.

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