IDEAS home Printed from https://ideas.repec.org/p/qss/dqsswp/1310.html
   My bibliography  Save this paper

The socio-economic gradient in children's reading skills and the role of genetics

Author

Listed:
  • John Jerrim

    (Institute of Education, University of London)

  • Anna Vignoles

    (Faculty of Education, University of Cambridge)

  • Raghu Lingam

    (London School of Hygiene and Tropical Medicine, University of London)

  • Angela Friend

    (University of Colorado Boulder)

Abstract

By the time children leave primary school there is a large socio-economic gap in their reading proficiency. There are a number of potential explanations for this socio-economic gap and in this paper we investigate the role of three particular genes and gene-environment interactions in determining children’s reading skills, using the Avon Longitudinal Study of Parents and Children (ALSPAC) dataset. We find that whilst these genes are indeed correlated with reading outcomes, effect sizes are small and sensitive to the choice of test used and the sample selected. Our results suggest that the leading candidate genes can jointly explain just 2% of the socio-economic gap in children’s reading test scores. We conclude that the influence of these three genes on children’s reading ability is limited, and their role in producing socio-economic gaps in reading ability is even more limited still.

Suggested Citation

  • John Jerrim & Anna Vignoles & Raghu Lingam & Angela Friend, 2013. "The socio-economic gradient in children's reading skills and the role of genetics," DoQSS Working Papers 13-10, Quantitative Social Science - UCL Social Research Institute, University College London.
    • Handle: RePEc:qss:dqsswp:1310
    as

    Download full text from publisher

    File URL: https://repec.ucl.ac.uk/REPEc/pdf/qsswp1310.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jere R. Behrman & Mark R. Rosenzweig, 2002. "Does Increasing Women's Schooling Raise the Schooling of the Next Generation?," American Economic Review, American Economic Association, vol. 92(1), pages 323-334, March.
    2. Petra E. Todd & Kenneth I. Wolpin, 2003. "On The Specification and Estimation of The Production Function for Cognitive Achievement," Economic Journal, Royal Economic Society, vol. 113(485), pages 3-33, February.
    3. John Jerrim & Anna Vignoles, 2013. "Social mobility, regression to the mean and the cognitive development of high ability children from disadvantaged homes," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 176(4), pages 887-906, October.
    4. repec:bla:econom:v:70:y:2003:i:277:p:73-97 is not listed on IDEAS
    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. Jere R. Behrman & John Hoddinott & John A. Maluccio, & Erica Soler-Hampejsek & Emily L. Behrman & Reynaldo Martorell & Manuel Ramirez-Zea & Aryeh D. Stein, 2006. "What Determines Adult Cognitive Skills? Impacts of Pre-Schooling, Schooling and Post-Schooling Experiences in Guatemala," PIER Working Paper Archive 06-027, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    2. Eric A. Hanushek & Victor Lavy & Kohtaro Hitomi, 2008. "Do Students Care about School Quality? Determinants of Dropout Behavior in Developing Countries," Journal of Human Capital, University of Chicago Press, vol. 2(1), pages 69-105.
    3. Orazem, Peter F. & King, Elizabeth M., 2008. "Schooling in Developing Countries: The Roles of Supply, Demand and Government Policy," Handbook of Development Economics, in: T. Paul Schultz & John A. Strauss (ed.), Handbook of Development Economics, edition 1, volume 4, chapter 55, pages 3475-3559, Elsevier.
    4. 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.
    5. Florian Birkenfeld, 2008. "Schulleistungen von Maedchen und Jungen. Gleichberechtigung als Bildungsmotor?," Economics of Education Working Paper Series 0019, University of Zurich, Department of Business Administration (IBW).
    6. Jere Behrman & John Hoddinott & John Maluccio & Erica Soler-Hampejsek & Emily Behrman & Reynaldo Martorell & Manuel Ramírez-Zea & Aryeh Stein, 2014. "What determines adult cognitive skills? Influences of pre-school, school, and post-school experiences in Guatemala," Latin American Economic Review, Springer;Centro de Investigaciòn y Docencia Económica (CIDE), vol. 23(1), pages 1-32, December.
    7. Nicole Black & Danusha Jayawardana & Gawain Heckley, 2023. "Children’s Time Allocation and the Socioeconomic Gap in Human Capital," Papers 2023-06, Centre for Health Economics, Monash University.
    8. Edwards, Ryan D. & Roff, Jennifer, 2016. "What mom and dad’s match means for junior: Marital sorting and child outcomes," Labour Economics, Elsevier, vol. 40(C), pages 43-56.
    9. Behrman, Jere R., 2010. "Investment in Education Inputs and Incentives," Handbook of Development Economics, in: Dani Rodrik & Mark Rosenzweig (ed.), Handbook of Development Economics, edition 1, volume 5, chapter 0, pages 4883-4975, Elsevier.
    10. Sander Gerritsen & Erik Plug & Dinand Webbink, 2014. "Teacher quality and student achievement: Evidence from a Dutch sample of twins," CPB Discussion Paper 294, CPB Netherlands Bureau for Economic Policy Analysis.
    11. Sander Gerritsen & Erik Plug & Dinand Webbink, 2014. "Teacher quality and student achievement: Evidence from a Dutch sample of twins," CPB Discussion Paper 294.rdf, CPB Netherlands Bureau for Economic Policy Analysis.
    12. Arnaud Chevalier & Colm Harmon & Vincent O’ Sullivan & Ian Walker, 2013. "The impact of parental income and education on the schooling of their children," IZA Journal of Labor Economics, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 2(1), pages 1-22, December.
    13. Tahir Andrabi & Jishnu Das & Asim Ijaz Khwaja & Tristan Zajonc, 2011. "Do Value-Added Estimates Add Value? Accounting for Learning Dynamics," American Economic Journal: Applied Economics, American Economic Association, vol. 3(3), pages 29-54, July.
    14. Messer, Dolores & Wolter, Stefan C., 2005. "Are Student Exchange Programs Worth It?," IZA Discussion Papers 1656, Institute of Labor Economics (IZA).
    15. Meng, Xin & Zhao, Guochang, 2021. "The long shadow of a large scale education interruption: The intergenerational effect," Labour Economics, Elsevier, vol. 71(C).
    16. Marta Favara & Catherine Porter & Tassew Woldehanna, 2019. "Smarter through social protection? Evaluating the impact of Ethiopia’s safety-net on child cognitive abilities," Oxford Development Studies, Taylor & Francis Journals, vol. 47(1), pages 79-96, January.
    17. Macours, Karen & Vakis, Renos, 2010. "Seasonal Migration and Early Childhood Development," World Development, Elsevier, vol. 38(6), pages 857-869, June.
    18. Amin, Vikesh & Lundborg, Petter & Rooth, Dan-Olof, 2015. "The intergenerational transmission of schooling: Are mothers really less important than fathers?," Economics of Education Review, Elsevier, vol. 47(C), pages 100-117.
    19. Martin Schlotter & Guido Schwerdt & Ludger Woessmann, 2011. "Econometric methods for causal evaluation of education policies and practices: a non-technical guide," Education Economics, Taylor & Francis Journals, vol. 19(2), pages 109-137.
    20. Jacob M. Markman & Eric A. Hanushek & John F. Kain & Steven G. Rivkin, 2003. "Does peer ability affect student achievement?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(5), pages 527-544.

    More about this item

    Keywords

    Reading; Genes; Gene-environment interaction; ALSPAC;
    All these keywords.

    JEL classification:

    • I20 - Health, Education, and Welfare - - Education - - - General
    • I24 - Health, Education, and Welfare - - Education - - - Education and Inequality

    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:1310. 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: Dr Neus Bover Fonts (email available below). General contact details of provider: https://edirc.repec.org/data/dqioeuk.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.