IDEAS home Printed from https://ideas.repec.org/p/qss/dqsswp/1305.html
   My bibliography  Save this paper

The impact of age within academic year on adult outcomes

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 has shown 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. Those born later in the academic year are also significantly less likely to participate in post-compulsory education than those born at the start of the year. We provide the first evidence on whether these differences in childhood outcomes translate into differences in the probability of employment, occupation and earnings for adults in the UK. We also examine whether there are differences in broader measures of well-being such as self-perceived health and mental health. We find that the large and significant differences observed in educational attainment do not lead to pervasive differences in adulthood; those born towards the end of the academic year are more likely to experience unemployment (which is particularly true for females and those that don’t achieve a degree level qualification) but in general there are few substantial or statistically significant differences in terms of occupation, earnings and self-perceived health and mental health. It is not clear why this should be the case, but if employers reward productivity equally as they learn more about their workers, irrespective of their educational attainment, then this lack of significant differences may not be surprising.

Suggested Citation

  • Claire Crawford & Lorraine Dearden & Ellen Greaves, 2013. "The impact of age within academic year on adult outcomes," DoQSS Working Papers 13-05, Department of Quantitative Social Science - UCL Institute of Education, University College London.
  • Handle: RePEc:qss:dqsswp:1305
    as

    Download full text from publisher

    File URL: http://repec.ioe.ac.uk/REPEc/pdf/qsswp1305.pdf
    Download Restriction: no

    Other versions of this item:

    References listed on IDEAS

    as
    1. Kelly Bedard & Elizabeth Dhuey, 2012. "School-Entry Policies and Skill Accumulation Across Directly and Indirectly Affected Individuals," Journal of Human Resources, University of Wisconsin Press, vol. 47(3), pages 643-683.
    2. Dhuey, Elizabeth & Lipscomb, Stephen, 2008. "What makes a leader? Relative age and high school leadership," Economics of Education Review, Elsevier, vol. 27(2), pages 173-183, April.
    3. Patrick Puhani & Andrea Weber, 2007. "Does the early bird catch the worm?," Empirical Economics, Springer, vol. 32(2), pages 359-386, May.
    4. Sandra E. Black & Paul J. Devereux & Kjell G. Salvanes, 2011. "Too Young to Leave the Nest? The Effects of School Starting Age," The Review of Economics and Statistics, MIT Press, vol. 93(2), pages 455-467, May.
    5. George Psacharopoulos & Harry Anthony Patrinos, 2004. "Returns to investment in education: a further update," Education Economics, Taylor & Francis Journals, vol. 12(2), pages 111-134.
    6. Smith Justin, 2009. "Can Regression Discontinuity Help Answer an Age-Old Question in Education? The Effect of Age on Elementary and Secondary School Achievement," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 9(1), pages 1-30, November.
    7. Ponzo, Michela & Scoppa, Vincenzo, 2014. "The long-lasting effects of school entry age: Evidence from Italian students," Journal of Policy Modeling, Elsevier, vol. 36(3), pages 578-599.
    8. Dobkin, Carlos & Ferreira, Fernando, 2010. "Do school entry laws affect educational attainment and labor market outcomes?," Economics of Education Review, Elsevier, vol. 29(1), pages 40-54, February.
    9. Justin Smith, 2010. "How Valuable Is the Gift of Time? The Factors That Drive the Birth Date Effect in Education," Education Finance and Policy, MIT Press, vol. 5(3), pages 247-277, July.
    10. Kelly Bedard & Elizabeth Dhuey, 2006. "The Persistence of Early Childhood Maturity: International Evidence of Long-Run Age Effects," The Quarterly Journal of Economics, Oxford University Press, vol. 121(4), pages 1437-1472.
    11. Patrick J. McEwan & Joseph S. Shapiro, 2008. "The Benefits of Delayed Primary School Enrollment: Discontinuity Estimates Using Exact Birth Dates," Journal of Human Resources, University of Wisconsin Press, vol. 43(1).
    12. Todd E. Elder & Darren H. Lubotsky, 2009. "Kindergarten Entrance Age and Children’s Achievement: Impacts of State Policies, Family Background, and Peers," Journal of Human Resources, University of Wisconsin Press, vol. 44(3).
    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. Andrea M. Mühlenweg & Patrick A. Puhani, 2010. "The Evolution of the School-Entry Age Effect in a School Tracking System," Journal of Human Resources, University of Wisconsin Press, vol. 45(2).
    15. Hendrik Jürges & Kerstin Schneider, 2007. "What can go wrong will go wrong: Birthday effects and early tracking in the German school system," MEA discussion paper series 07138, Munich Center for the Economics of Aging (MEA) at the Max Planck Institute for Social Law and Social Policy.
    16. Robertson, Erin, 2011. "The effects of quarter of birth on academic outcomes at the elementary school level," Economics of Education Review, Elsevier, vol. 30(2), pages 300-311, April.
    17. Du, Qianqian & Gao, Huasheng & Levi, Maurice D., 2012. "The relative-age effect and career success: Evidence from corporate CEOs," Economics Letters, Elsevier, vol. 117(3), pages 660-662.
    18. Dionissi Aliprantis, 2012. "When should children start school?," Working Paper 1126, Federal Reserve Bank of Cleveland.
    19. 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.
    20. Daniel Muller & Lionel Page, 2013. "Political Selection and the Relative Age Effect," QuBE Working Papers 009, QUT Business School.
    21. Kawaguchi, Daiji, 2011. "Actual age at school entry, educational outcomes, and earnings," Journal of the Japanese and International Economies, Elsevier, vol. 25(2), pages 64-80, June.
    22. Claire Crawford & Lorraine Dearden & Ellen Greaves, 2014. "The drivers of month-of-birth differences in children's cognitive and non-cognitive skills," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 177(4), pages 829-860, October.
    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. Luca Fumarco & Giambattista Rossi, 2015. "Relative Age Effect on Labor Market Outcomes for High Skilled Workers – Evidence from Soccer," Management Working Papers 9, Birkbeck Department of Management, revised Mar 2015.
    2. repec:bla:obuest:v:79:y:2017:i:6:p:1087-1124 is not listed on IDEAS
    3. 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.

    More about this item

    Keywords

    Month of birth; wages; employment; educational attainment;

    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

    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:1305. 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.

    If CitEc recognized a 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.

    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.