IDEAS home Printed from https://ideas.repec.org/p/ucf/inwopa/inwopa837.html
   My bibliography  Save this paper

Falling Behind: Socio-demographic profiles of educationally disadvantaged youth. Evidence from PISA 2000-2012

Author

Listed:
  • Zlata Bruckauf
  • UNICEF Innocenti Research Centre

Abstract

Early identification of students who fail to reach basic, age-appropriate literacy skills is the first step to ensure timely support of their learning. Understanding those drivers of low achievement that are beyond students’ control enables policy makers to foster equal opportunity for achievement. Drawing on the OECD Programme for International Student Assessment (PISA) 2000 to 2012 data, this paper examines the risk factors of low achievement, defined here as scoring below the 10th percentile of the distribution, and their evolution over time, across 39 industrialized nations. These include an aggregate measure of socio-economic status (SES), immigration background, non-test language spoken at home, living in a single parent household, and gender. We find that family SES, is one of the most consistent predictors of low-achievement (across a diverse range of educational systems) and most persistent (across time). Amongst other results, we also find no evidence that the gender gap in reading – in favour of girls – narrowed over time, leaving boys at risk of educational disadvantage in the majority of countries.

Suggested Citation

  • 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.
  • Handle: RePEc:ucf:inwopa:inwopa837
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    References listed on IDEAS

    as
    1. Gordon B. Dahl & Lance Lochner, 2012. "The Impact of Family Income on Child Achievement: Evidence from the Earned Income Tax Credit," American Economic Review, American Economic Association, vol. 102(5), pages 1927-1956, August.
    2. Cynthia Osborne & Lawrence Berger & Katherine Magnuson, 2012. "Family Structure Transitions and Changes in Maternal Resources and Well-being," Demography, Springer;Population Association of America (PAA), vol. 49(1), pages 23-47, February.
    3. 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.
    4. 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).
    5. Meunier, Muriel, 2011. "Immigration and student achievement: Evidence from Switzerland," Economics of Education Review, Elsevier, vol. 30(1), pages 16-38, February.
    6. Anthony Heath & Elina Kilpi-Jakonen, 2012. "Immigrant Children's Age at Arrival and Assessment Results," OECD Education Working Papers 75, OECD Publishing.
    7. Robert Haveman & Barbara Wolfe, 1995. "The Determinants of Children's Attainments: A Review of Methods and Findings," Journal of Economic Literature, American Economic Association, vol. 33(4), pages 1829-1878, December.
    8. Zlata Bruckauf & Yekaterina Chzhen & UNICEF Innocenti Research Centre, 2016. "Education for All? Measuring inequality of educational outcomes among 15-year-olds across 39 industrialized nations," Papers inwopa843, Innocenti Working Papers.
    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. Sandra Nieto & Raul Ramos, 2014. "“Decomposition of Differences in PISA Results in Middle Income Countries”," AQR Working Papers 201404, University of Barcelona, Regional Quantitative Analysis Group, revised Mar 2014.
    11. 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.
    12. Leon Feinstein, 2003. "Inequality in the Early Cognitive Development of British Children in the 1970 Cohort," Economica, London School of Economics and Political Science, vol. 70(277), pages 73-97, February.
    Full references (including those not matched with items on IDEAS)

    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. 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.
    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, Quantitative Social Science - UCL Social Research Institute, University College London.
    5. 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.
    6. Emilia Del Bono & Marco Francesconi & Yvonne Kelly & Amanda Sacker, 2016. "Early Maternal Time Investment and Early Child Outcomes," Economic Journal, Royal Economic Society, vol. 126(596), pages 96-135, October.
    7. Zlata Bruckauf & Yekaterina Chzhen & UNICEF Innocenti Research Centre, 2016. "Education for All? Measuring inequality of educational outcomes among 15-year-olds across 39 industrialized nations," Papers inwopa843, Innocenti Working Papers.
    8. Asadullah, M. Niaz & Trannoy, Alain & Tubeuf, Sandy & Yalonetzky, Gaston, 2021. "Measuring educational inequality of opportunity: pupil’s effort matters," World Development, Elsevier, vol. 138(C).
    9. Paul Anand & Jere R. Behrman & Hai-Anh H. Dang & Sam Jones, 2018. "Inequality of opportunity in education: Accounting for the contributions of Sibs, schools and sorting across East Africa," Working Papers 480, ECINEQ, Society for the Study of Economic Inequality.
    10. Ferguson, Neil T. N. & Michaelsen, Maren M., 2013. "The Legacy of Conflict – Regional Deprivation and School Performance in Northern Ireland," Ruhr Economic Papers 419, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    11. Lindsey Macmillan & Emma Tominey, 2023. "Parental inputs and socio-economic gaps in early child development," Journal of Population Economics, Springer;European Society for Population Economics, vol. 36(3), pages 1513-1543, July.
    12. N. Meltem Daysal & Marianne Simonsen & Mircea Trandafir & Sanni Breining, 2022. "Spillover Effects of Early-Life Medical Interventions," The Review of Economics and Statistics, MIT Press, vol. 104(1), pages 1-16, March.
    13. Nestor Gandelam & Virginia Robano, 2014. "Intergenerational Mobility and Entrepreneurship in Uruguay," Latin American Journal of Economics-formerly Cuadernos de Economía, Instituto de Economía. Pontificia Universidad Católica de Chile., vol. 51(2), pages 195-226, November.
    14. Huebener, Mathias & Kuehnle, Daniel & Spiess, C. Katharina, 2019. "Parental leave policies and socio-economic gaps in child development: Evidence from a substantial benefit reform using administrative data," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 61.
    15. José Manuel Cordero Ferrera & Manuel Muñiz Pérez & Rosa Simancas Rodríguez, 2015. "The influence of socioeconomic factors on cognitive and non-cognitive educational outcomes," Investigaciones de Economía de la Educación volume 10, in: Marta Rahona López & Jennifer Graves (ed.), Investigaciones de Economía de la Educación 10, edition 1, volume 10, chapter 21, pages 413-438, Asociación de Economía de la Educación.
    16. Kevin Milligan & Mark Stabile, 2011. "Do Child Tax Benefits Affect the Well-Being of Children? Evidence from Canadian Child Benefit Expansions," American Economic Journal: Economic Policy, American Economic Association, vol. 3(3), pages 175-205, August.
    17. Tansel, Aysit, 2011. "Intergenerational educational mobility in Turkey," MPRA Paper 68435, University Library of Munich, Germany.
    18. Álvaro Choi & María Gil & Mauro Mediavilla & Javier Valbuena, 2018. "The Evolution of Educational Inequalities in Spain: Dynamic Evidence from Repeated Cross-Sections," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 138(3), pages 853-872, August.
    19. Sweetman, A. & van Ours, J.C., 2014. "Immigration : What About the Children and Grandchildren?," Discussion Paper 2014-009, Tilburg University, Center for Economic Research.
    20. John Jerrim, 2012. "The Socio‐Economic Gradient in Teenagers' Reading Skills: How Does England Compare with Other Countries?," Fiscal Studies, Institute for Fiscal Studies, vol. 33(2), pages 159-184, June.

    More about this item

    Keywords

    adolescents; disadvantaged children; immigration; low income; socio-economic background;
    All these keywords.

    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:ucf:inwopa:inwopa837. 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: Patrizia Faustini (email available below). General contact details of provider: .

    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.