IDEAS home Printed from https://ideas.repec.org/p/qss/dqsswp/1204.html
   My bibliography  Save this paper

The socio-economic gradient in teenagers' literacy skills: how does England compare to other countries?

Author

Listed:
  • John Jerrim

    () (Institute of Education, University of London, 20 Bedford Way, London WC1H 0AL, UK.)

Abstract

A number of studies have explored the link between family background and children's achievement in a cross-national context. A common finding is that there is a stronger association in England than other parts of the developed world. Rather less attention has been paid, however, to England's comparative position at different points of the conditional achievement distribution. Is the test score gap particularly big between the most able children from advantaged and disadvantaged homes, or are differences particularly pronounced between low achievers? This issue is investigated using the Programme for International Student Assessment (PISA) 2009 dataset. The association between family background and high achievement is found to be stronger in England than other developed countries, and that there is little evidence that this has changed over time. However, socio-economic differences at the bottom of the achievement distribution are no more pronounced in England than elsewhere. I discuss the implications of these findings for social mobility and educational policy in the UK.

Suggested Citation

  • John Jerrim, 2012. "The socio-economic gradient in teenagers' literacy skills: how does England compare to other countries?," DoQSS Working Papers 12-04, Department of Quantitative Social Science - UCL Institute of Education, University College London.
  • Handle: RePEc:qss:dqsswp:1204
    as

    Download full text from publisher

    File URL: http://repec.ioe.ac.uk/repec/pdf/qsswp1204.pdf
    Download Restriction: no

    References listed on IDEAS

    as
    1. Jake Anders, 2012. "The Link between Household Income, University Applications and University Attendance," Fiscal Studies, Institute for Fiscal Studies, vol. 33(2), pages 185-210, June.
    2. N. Rowbottom, 2013. "A-Level Subject Choice, Systematic Bias and University Performance in the UK: The Case of Accounting," Accounting Education, Taylor & Francis Journals, vol. 22(3), pages 248-267, June.
    3. Oscar Marcenaro-Gutierrez & Fernando Galindo-Rueda & Anna Vignoles, 2007. "Who actually goes to university?," Empirical Economics, Springer, vol. 32(2), pages 333-357, May.
    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. John Jerrim, 2014. "The link between family background and later lifetime income: how does the UK compare to other countries?," DoQSS Working Papers 14-02, Department of Quantitative Social Science - UCL Institute of Education, University College London.
    2. 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, Department of Quantitative Social Science - UCL Institute of Education, University College London.
    3. 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).
    4. 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, Department of Quantitative Social Science - UCL Institute of Education, University College London.
    5. John Jerrim & Anna Vignoles & Ross Finnie, 2012. "University access for disadvantaged children: A comparison across English speaking countries," DoQSS Working Papers 12-11, Department of Quantitative Social Science - UCL Institute of Education, University College London.
    6. Álvaro Choi & John Jerrim, 2015. "The use (and misuse) of Pisa in guiding policy reform: the case of Spain," Working Papers 2015/6, Institut d'Economia de Barcelona (IEB).
    7. Claire Tyler, 2016. "The role of non-cognitive and cognitive skills in accounting for the intergenerational transmission of 'top job' status," DoQSS Working Papers 16-03, Department of Quantitative Social Science - UCL Institute of Education, University College London.
    8. Blanden, Jo & Macmillan, Lindsey, 2014. "Education and intergenerational mobility: help or hindrance?," LSE Research Online Documents on Economics 58045, London School of Economics and Political Science, LSE Library.

    More about this item

    Keywords

    Words: PISA; educational inequality; social mobility;

    JEL classification:

    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • J45 - Labor and Demographic Economics - - Particular Labor Markets - - - Public Sector Labor Markets

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:qss:dqsswp:1204. 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: (Bilal Nasim). General contact details of provider: http://edirc.repec.org/data/dqioeuk.html .

    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.

    We have no references for this item. You can help adding them by using 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.