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Identifying the drivers of month of birth differences in educational attainment

Author

Listed:
  • Claire Crawford

    (Institute for Fiscal Studies)

  • Lorraine Dearden

    (Institute for Fiscal Studies and Department of Quantitative Social Science, Institute of Education, University of London)

  • Ellen Greaves

    (Institute for Fiscal Studies)

Abstract
Children born at the end of the academic year have lower educational attainment, on average, than those born at the start of the academic year. Previous research shows that the difference is most pronounced early in pupils’ school lives, but remains evident and statistically significant in high-stakes exams taken at the end of compulsory schooling. To determine the most appropriate policy response, it is vital to understand which of the four possible factors (age at test, age of starting school, length of schooling and relative age without cohort) lead to these differences in attainment between those born at different points in the academic year. However, research to date has been unable to adequately address this problem, as the four potential drivers are all highly correlated with one another, and three of the four form an exact linear relationship (age at test = age of starting school + length of schooling). This paper is the first to apply the principle of maximum entropy to this problem. Using two complementary sources of data we find that a child’s age at the time they take the test is the most important driver of the differences observed, which suggests that age-adjusting national achievement test scores is likely to be the most appropriate policy response to ensure that children born towards the end of the year are not at a disadvantage simply because they are younger when they take their exams.

Suggested Citation

  • Claire Crawford & Lorraine Dearden & Ellen Greaves, 2013. "Identifying the drivers of month of birth differences in educational attainment," DoQSS Working Papers 13-07, Quantitative Social Science - UCL Social Research Institute, University College London.
    • Handle: RePEc:qss:dqsswp:1307
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    File URL: https://repec.ucl.ac.uk/REPEc/pdf/qsswp1307.pdf
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    References listed on IDEAS

    as
    1. Dionissi Aliprantis, 2014. "When Should Children Start School?," Journal of Human Capital, University of Chicago Press, vol. 8(4), pages 481-536.
    2. Martin Browning & Ian Crawford & Marike Knoef, 2012. "The age-period cohort problem: set identification and point identification," CeMMAP working papers 02/12, Institute for Fiscal Studies.
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    12. Claire Crawford & Lorraine Dearden & Costas Meghir, 2010. "When you are born matters: the impact of date of birth on educational outcomes in England," IFS Working Papers W10/06, Institute for Fiscal Studies.
    13. Datar, Ashlesha, 2006. "Does delaying kindergarten entrance give children a head start?," Economics of Education Review, Elsevier, vol. 25(1), pages 43-62, February.
    14. Claire Crawford & Lorraine Dearden & Costas Meghir, 2007. "When You Are Born Matters: The Imapct of Date of Birth on Child Cognitive Outcomes in England," CEE Discussion Papers 0093, Centre for the Economics of Education, LSE.
    15. Maresa Sprietsma, 2010. "Effect of relative age in the first grade of primary school on long-term scholastic results: international comparative evidence using PISA 2003," Education Economics, Taylor & Francis Journals, vol. 18(1), pages 1-32.
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    Citations

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    Cited by:

    1. Tony Beatton & Michael P. Kidd & Anthony Niu & Francis Vella, 2023. "Age of Starting School, Academic Performance, and the Impact of Non‐Compliance: An Experiment within an Experiment, Evidence from Australia," The Economic Record, The Economic Society of Australia, vol. 99(325), pages 175-206, June.
    2. Suziedelyte, Agne & Zhu, Anna, 2015. "Does early schooling narrow outcome gaps for advantaged and disadvantaged children?," Economics of Education Review, Elsevier, vol. 45(C), pages 76-88.

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    More about this item

    Keywords

    Age-period-cohort problem; maximum entropy; month of birth; relative age; educational attainment;
    All these keywords.

    JEL classification:

    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity

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