IDEAS home Printed from https://ideas.repec.org/p/ieb/wpaper/doc2013-12.html
   My bibliography  Save this paper

The mathematics skills of school children: how does England compare to the high performing east Asian jurisdictions?

Author

Listed:
  • John Jerrim

    (University of London)

  • Álvaro Choi

    (Universitat de Barcelona & IEB)

Abstract

English policymakers have been disappointed with children’s performance on TIMSS and PISA, particularly in comparison to the results of young people from East Asia. In this paper we provide new insight into the England – East Asia gap by considering how cross-national differences in math test scores change between ages 10 and 16. Our results suggest that, although average math test scores are higher in East Asian countries, this gap does not increase between ages 10 and 16. Thus, reforming the secondary school system may not be the most effective way for England to ‘catch up’. Rather earlier intervention, during pre-school and primary school, may be needed instead.

Suggested Citation

  • 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).
  • Handle: RePEc:ieb:wpaper:doc2013-12
    as

    Download full text from publisher

    File URL: http://ieb.ub.edu/wp-content/uploads/2018/04/2013-IEB-WorkingPaper-12.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Andreas Ammermueller & Jörn-Steffen Pischke, 2009. "Peer Effects in European Primary Schools: Evidence from the Progress in International Reading Literacy Study," Journal of Labor Economics, University of Chicago Press, vol. 27(3), pages 315-348, July.
    2. Hanushek, Eric A. & Woessmann, Ludger, 2011. "The Economics of International Differences in Educational Achievement," Handbook of the Economics of Education, in: Erik Hanushek & Stephen Machin & Ludger Woessmann (ed.), Handbook of the Economics of Education, edition 1, volume 3, chapter 2, pages 89-200, Elsevier.
    3. 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 607-668, September.
    4. Francisco H. G. Ferreira & Jérémie Gignoux, 2014. "The Measurement of Educational Inequality: Achievement and Opportunity," The World Bank Economic Review, World Bank, vol. 28(2), pages 210-246.
    5. World Bank, 2012. "World Development Indicators 2012," World Bank Publications - Books, The World Bank Group, number 6014, December.
    6. Cunha, Flavio & Heckman, James J. & Lochner, Lance, 2006. "Interpreting the Evidence on Life Cycle Skill Formation," Handbook of the Economics of Education, in: Erik Hanushek & F. Welch (ed.), Handbook of the Economics of Education, edition 1, volume 1, chapter 12, pages 697-812, Elsevier.
    7. Eric A. Hanushek & Ludger Wössmann, 2006. "Does Educational Tracking Affect Performance and Inequality? Differences- in-Differences Evidence Across Countries," Economic Journal, Royal Economic Society, vol. 116(510), pages 63-76, March.
    8. Phillip Toner, 2011. "Workforce Skills and Innovation: An Overview of Major Themes in the Literature," OECD Science, Technology and Industry Working Papers 2011/1, OECD Publishing.
    9. Gabriela Schütz & Heinrich W. Ursprung & Ludger Wößmann, 2008. "Education Policy and Equality of Opportunity," Kyklos, Wiley Blackwell, vol. 61(2), pages 279-308, May.
    10. Zoltan Hermann & Daniel Horn, 2011. "How inequality of opportunity and mean student performance are related? - A quantile regression approach using PISA data," CERS-IE WORKING PAPERS 1124, Institute of Economics, Centre for Economic and Regional Studies.
    11. Giorgio Brunello & Guglielmo Weber & Christoph T. Weiss, 2017. "Books are Forever: Early Life Conditions, Education and Lifetime Earnings in Europe," Economic Journal, Royal Economic Society, vol. 127(600), pages 271-296, March.
    12. James J. Heckman, 2007. "The Economics, Technology and Neuroscience of Human Capability Formation," NBER Working Papers 13195, National Bureau of Economic Research, Inc.
    13. Ono, Hiroshi, 2007. "Does examination hell pay off ? A cost-benefit analysis of "ronin" and college education in Japan," Economics of Education Review, Elsevier, vol. 26(3), pages 271-284, June.
    14. Robert J. Barro, 2001. "Human Capital and Growth," American Economic Review, American Economic Association, vol. 91(2), pages 12-17, May.
    15. Hermann, Z. & Horn, D., 2011. "How are inequality of opportunity and mean student performance related? A quantile regression approach using PISA data," Regional and Sectoral Economic Studies, Euro-American Association of Economic Development, vol. 11(3).
    16. Phillip Toner, 2011. "Workforce Skills and Innovation: An Overview of Major Themes in the Literature," OECD Education Working Papers 55, OECD Publishing.
    17. Giorgina Brown & John Micklewright & Sylke V. Schnepf & Robert Waldmann, 2007. "International surveys of educational achievement: how robust are the findings?," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 170(3), pages 623-646, July.
    18. Brunello, Giorgio & Weber, Guglielmo & Weiss, Christoph T., 2012. "Books Are Forever: Early Life Conditions, Education and Lifetime Income," IZA Discussion Papers 6386, Institute of Labor Economics (IZA).
    19. John Jerrim, 2012. "The socio-economic gradient in teenagers' literacy skills: how does England compare to other countries?," DoQSS Working Papers 12-04, Quantitative Social Science - UCL Social Research Institute, University College London.
    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. Contini, Dalit & Grand, Elisa, 2013. "On Estimating Achievement Dynamic Models from Repeated Cross-Sections," Department of Economics and Statistics Cognetti de Martiis. Working Papers 201343, University of Turin.
    2. Contini, Dalit & Cugnata, Federica, 2016. "Learning inequalities between primary and secondary school. Difference-in-difference with international assessments," Department of Economics and Statistics Cognetti de Martiis. Working Papers 201607, University of Turin.
    3. Contini, Dalit, 2014. "Cross-sectional learning assessments: comparability of regression coefficients and validity of difference-in-difference estimation to evaluate institutional effects," Department of Economics and Statistics Cognetti de Martiis. Working Papers 201431, University of Turin.

    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. 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. John Jerrim & Alvaro Choi, 2013. "The mathematics skills of school children: How does England compare to the high performing East Asian jurisdictions?," DoQSS Working Papers 13-03, Quantitative Social Science - UCL Social Research Institute, University College London.
    3. Ludger Woessmann, 2016. "The Importance of School Systems: Evidence from International Differences in Student Achievement," Journal of Economic Perspectives, American Economic Association, vol. 30(3), pages 3-32, Summer.
    4. Elke Lüdemann, 2011. "Schooling and the Formation of Cognitive and Non-cognitive Outcomes," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 39.
    5. 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.
    6. C. Dannemann & Erkan Goeren, 2018. "The Educational Burden of ADHD: Evidence From Student Achievement Test Scores," Working Papers V-408-18, University of Oldenburg, Department of Economics, revised Apr 2018.
    7. John Jerrim & John Micklewright, 2012. "Socioeconomic gradients in children's cognitive skills: Are cross-country comparisons robust to who reports family background?," DoQSS Working Papers 12-06, Quantitative Social Science - UCL Social Research Institute, University College London.
    8. Zlata Bruckauf & UNICEF Innocenti Research Centre, 2016. "Falling Behind: Socio-demographic profiles of educationally disadvantaged youth. Evidence from PISA 2000-2012," Papers inwopa837, Innocenti Working Papers.
    9. Ludger Wößmann, 2011. "Wettbewerb durch öffentliche Finanzierung von Schulen in freier Trägerschaft als wichtiger Ansatzpunkt zur Verbesserung des Schulsystems," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 64(01), pages 09-18, January.
    10. Ludger Wößmann, 2006. "Bildungspolitische Lehren aus den internationalen Schülertests: Wettbewerb, Autonomie und externe Leistungsüberprüfung," Perspektiven der Wirtschaftspolitik, Verein für Socialpolitik, vol. 7(3), pages 417-444, August.
    11. Engzell, Per, 2017. "What Do Books in the Home Proxy For? A Cautionary Tale," Working Paper Series 1/2016, Stockholm University, Swedish Institute for Social Research.
    12. Ã lvaro Choi & John Jerrim, 2015. "The use (and misuse) of PISA in guiding policy reform: the case of Spain?," DoQSS Working Papers 15-04, Quantitative Social Science - UCL Social Research Institute, University College London.
    13. Lergetporer, Philipp & Werner, Katharina & Woessmann, Ludger, 2020. "Educational inequality and public policy preferences: Evidence from representative survey experiments," Journal of Public Economics, Elsevier, vol. 188(C).
    14. Ludger Wößmann, 2008. "Efficiency and equity of European education and training policies," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 15(2), pages 199-230, April.
    15. Checchi, Daniele & van de Werfhorst, Herman Gerbert, 2017. "Policies, Skills and Earnings: How Educational Inequality Affects Earnings Inequality," SocArXiv wn3h2, Center for Open Science.
    16. Hanushek, Eric A. & Woessmann, Ludger, 2011. "Sample selectivity and the validity of international student achievement tests in economic research," Economics Letters, Elsevier, vol. 110(2), pages 79-82, February.
    17. Zoltan Hermann & Marianna Kopasz, 2018. "Educational policies and the gender gap in test scores: A cross-country analysis," Budapest Working Papers on the Labour Market 1805, Institute of Economics, Centre for Economic and Regional Studies.
    18. Flaviana Palmisano & Vito Peragine & Federico Biagi, 2019. "Inequality of opportunity in tertiary education in Europe," JRC Research Reports JRC118543, Joint Research Centre.
    19. Ana Balsa & Néstor Gandelman & Flavia Roldán, 2017. "Peer and parental influence in the development of cognitive skills and predispostion to risky behaviour," Documentos de Trabajo/Working Papers 1701, Facultad de Ciencias Empresariales y Economia. Universidad de Montevideo..
    20. José Manuel Cordero & Daniel Santín & Rosa Simancas, 2017. "Assessing European primary school performance through a conditional nonparametric model," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(4), pages 364-376, April.

    More about this item

    Keywords

    PISA; TIMSS; educational policy; primary education; secondary education;
    All these keywords.

    JEL classification:

    • I20 - Health, Education, and Welfare - - Education - - - General
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • I28 - Health, Education, and Welfare - - Education - - - Government Policy

    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:ieb:wpaper:doc2013-12. 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/iebubes.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.