IDEAS home Printed from https://ideas.repec.org/p/ifs/ifsewp/11-03.html
   My bibliography  Save this paper

The socio-economic gradient in early child outcomes: evidence from the Millennium Cohort Study

Author

Listed:
  • Lorraine Dearden

    (Institute for Fiscal Studies and University College London)

  • Luke Sibieta

    (Institute for Fiscal Studies and Institute for Fiscal Studies)

  • Kathy Sylva

    (Institute for Fiscal Studies and University of Oxford)

Abstract

This paper shows that there are large differences in cognitive and socio-emotional development between children from rich and poor backgrounds at the age of 3, and that this gap widens by the age of 5. Children from poor backgrounds also face much less advantageous "early childhood caring environments" than children from better off families. For example we identify differences in poor children's and their mothers' health and well-being (e.g. birth-weight, breast-feeding, and maternal depression); family interactions (e.g. mother child closeness); the home learning environment (e.g. reading regularly to the child); parenting styles and rules (e.g. regular bed-times and meal-times), and experiences of childcare by ages 3 and 5. Differences in the home learning environment, particularly at the age of 3 have an important role to play in explaining why children from poorer backgrounds experience lower levels of cognitive development than children from better off families. However, a much larger proportion of the gap remains unexplained, or appears directly related to other aspects of family background (such as mothers' age, and family size) that are not mediated through the early childhood caring environment. When it comes to socio-emotional development, a greater proportion of the socio-economic gap does appear to be related to differences in the early childhood caring environment.

Suggested Citation

  • Lorraine Dearden & Luke Sibieta & Kathy Sylva, 2011. "The socio-economic gradient in early child outcomes: evidence from the Millennium Cohort Study," IFS Working Papers W11/03, Institute for Fiscal Studies.
  • Handle: RePEc:ifs:ifsewp:11/03
    as

    Download full text from publisher

    File URL: http://www.ifs.org.uk/wps/wp1103.pdf
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. David Madden, 2022. "The Dynamics of Multidimensional Poverty in a Cohort of Irish Children," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 15(5), pages 1631-1671, October.
    2. Lay-Yee, Roy & Milne, Barry & Davis, Peter & Pearson, Janet & McLay, Jessica, 2015. "Determinants and disparities: A simulation approach to the case of child health care," Social Science & Medicine, Elsevier, vol. 128(C), pages 202-211.
    3. David Madden, 2022. "The socio‐economic gradient of cognitive test scores: evidence from two cohorts of Irish children," Fiscal Studies, John Wiley & Sons, vol. 43(3), pages 265-290, September.
    4. Elena Komodromou, Maria, 2018. "Does postpartum depression affect employment?," ISER Working Paper Series 2018-01, Institute for Social and Economic Research.
    5. Jemimah Ride, 2019. "Is socioeconomic inequality in postnatal depression an early-life root of disadvantage for children?," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 20(7), pages 1013-1027, September.
    6. Foliano, Francesca & Green, Francis & Sartarelli, Marcello, 2019. "Away from home, better at school. The case of a British boarding school," Economics of Education Review, Elsevier, vol. 73(C).
    7. Frauke H. Peter & Pia S. Schober & Katharina C. Spiess, 2016. "Early Birds in Day Care: The Social Gradient in Starting Day Care and Children’s Non-cognitive Skills," CESifo Economic Studies, CESifo Group, vol. 62(4), pages 725-751.
    8. Mark E. Mcgovern, 2013. "Still Unequal at Birth: Birth Weight,Socio-economic Status and Outcomes at Age 9," The Economic and Social Review, Economic and Social Studies, vol. 44(1), pages 53-84.
    9. Francesca Foliano & Francis Green & Marcello Sartarelli, 2017. "Can Talented Pupils with Low Socio-economic Status Shine? Evidence from a Boarding School," Working Papers. Serie AD 2017-05, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    10. repec:cep:spccrp:21 is not listed on IDEAS
    11. Elena Komodromou, Maria, 2018. "Does postpartum depression predict emotional and cognitive difficulties in 11 year olds?," ISER Working Paper Series 2018-02, Institute for Social and Economic Research.
    12. Ann Swift & Edurne Garcia Iriarte & Philip Curry & Roy McConkey & Robbie Gilligan & Marisa Antunes, 2021. "How Disability and Other Socio-Economic Factors Matter to Children’s Socio-Emotional Outcomes: Results from a Longitudinal Study Conducted in Ireland," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 14(1), pages 391-409, February.
    13. David (David Patrick) Madden, 2021. "The Dynamics of Multidimensional Poverty in a Cohort of Irish Children," Working Papers 202117, School of Economics, University College Dublin.
    14. Pearce, Anna & Sawyer, Alyssa C.P. & Chittleborough, Catherine R. & Mittinty, Murthy N. & Law, Catherine & Lynch, John W., 2016. "Do early life cognitive ability and self-regulation skills explain socio-economic inequalities in academic achievement? An effect decomposition analysis in UK and Australian cohorts," Social Science & Medicine, Elsevier, vol. 165(C), pages 108-118.
    15. Blanden, Jo & Greaves, Ellen & Gregg, Paul & Macmillan, Lindsey & Sibieta, Luke, 2015. "Understanding the improved performance of disadvantaged pupils in London," LSE Research Online Documents on Economics 121536, London School of Economics and Political Science, LSE Library.
    16. Samantha Parsons & Lucinda Platt, 2014. "Disabled children's cognitive development in the early years," DoQSS Working Papers 14-15, Quantitative Social Science - UCL Social Research Institute, University College London.

    More about this item

    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:ifs:ifsewp:11/03. 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.

    We have no bibliographic 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Emma Hyman (email available below). General contact details of provider: https://edirc.repec.org/data/ifsssuk.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.