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When you are born matters: the impact of date of birth on child cognitive outcomes in England

This study examines the impact of date of birth on child cognitive outcomes in England, specifically focusing on the differences between August-born and September-born children. The research explores the extent of the August birth penalty, potential admissions policies for summer-born children, factors driving the differences in cognitive outcomes, and subgroup variations. The findings indicate that the August birth penalty is consistent across different groups, and while flexible school starting ages may be considered, changes to admissions policies alone cannot fully eliminate the August birth penalty.

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When you are born matters: the impact of date of birth on child cognitive outcomes in England

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  1. When you are born matters: the impact of date of birth on child cognitive outcomes in England Claire Crawford, Lorraine Dearden & Costas Meghir Institute for Fiscal Studies

  2. The English education system • By law, children must have started school by the beginning of the term after they turn five • Local Education Authorities (LEAs) are free to set admissions policies within this framework • The academic year runs from 1st September to 31st August • We would expect August-born children to perform worse than September-born children

  3. Raw differences (example)

  4. Data • Administrative data on all children attending state school in England • Test results from age 5 to age 18 • Not possible to follow the same individuals all the way through, so consider three groups: • Group 1 (test results at ages 5 and 7) • Group 2 (test results at ages 7, 11 and 14) • Group 3 (test results at ages 11, 14, 16 and 18)

  5. Modelling strategy • In general, we compare children born in August with children born in September • In the same school (and school year) • With the same observable characteristics

  6. Research questions • What is the extent of the August birth penalty, and how does this vary by age? • What is the best admissions policy for summer-born children (in terms of cognitive outcomes)? • What drives differences in cognitive outcomes between August- and September-born children? • Does the August birth penalty vary across particular subgroups of interest?

  7. What is the extent of the August birth penalty, and how does it vary by age?

  8. Comparison of percentages of August- and September-born children reaching expected level

  9. Percentage point difference between August- and September-born children reaching expected level

  10. Comparison of percentages of August- and September-born children diagnosed with special educational needs

  11. Percentage point difference between August- and September-born children diagnosed with special educational needs

  12. Does the August birth penalty vary by subgroup? • We made comparisons across several groups, e.g. • FSM vs. non-FSM • Black Caribbean vs. White British • Most noteworthy finding is the lack of significant differences across subgroup • August birth penalty is the same for all individuals

  13. Hypotheses • Why might August-born children perform more poorly than September-born children? • Age of sitting the test (absolute age) effect • Age of starting school effect • Length of schooling effect • Age position (relative age) effect

  14. How can we find out what drives the August birth penalty? • Variation in admissions policies is important • Children born on the same day (who start school in different areas) may: • Start school at different ages • Receive a different number of terms of schooling • Also separates age of starting school from date of birth (the absolute age effect)

  15. Modelling strategy • Modelling strategy now involves comparing children born on the same dayacross admissions policy areas • Controlling for observables is very important

  16. What drives the August birth penalty? • Outcomes of August-born children are: • Considerably worsened because they are younger when they sit the test • Slightly worsened because they are amongst the youngest in their year • Slightly improved in areas where they start school earlier (have more terms of schooling) • Greater for girls than for boys • Does not persist beyond Key Stage 3 (age 14)

  17. What is the best admissions policy for summer-born children? • It is best for August-born children to start school at the same time as September-born children • But effects are small and do not persist • Changes to admissions policies will not come close to eliminating the August birth penalty

  18. Possible Policy Responses...

  19. The Policy Dilemma • Results we have shown emphasise August birth penalty, but results much more general than this • on average, the younger you are in the school year, the worse you do • Policy options ideally need to create a level playing field for all children, regardless of their date of birth • But also need to have school years, and somebody is always going to be the youngest, regardless of the policy

  20. What are the policy options? Flexibility in age of starting school Holding children back Age adjustment of tests/testing when ready Other options and considerations

  21. Flexibility in school starting age • English system unique in that most children stay in allocated school year – is this inflexibility part of the problem? • Not obvious to us that it is – some US evidence that flexibility creates more severe summer born penalties • Need to ensure that flexibility is used appropriately • What criteria do you use? • Make sure decisions not determined by economic circumstances • Or school choice issues

  22. Holding children back? • Conservatives have mooted holding children back in Year 6 if haven’t reached expected levels • But clear from data that with the current system much more likely that August born children would be held back unnecessarily compared to September born children (if KS2 results used) • See Tables 9.2 and 9.3 of report

  23. Age adjustment and/or testing when ready • Could just adjust test scores to take account of age • Use principle that proportion getting expected level should not vary by month of birth • Simple linear adjustment (show this works in report) • For externally marked exams such adjustment should be relatively straight forward • For internally marked exams probably needs to be based on previous cohorts

  24. Another way? • Rather than setting expected level for a whole school year set it for a particular age • E.g. Expect person to reach level 2B at age 7 ½, level 3 by 9 ½, level 4 by 11 ½ , level 5 by 13 ½... • Creates level playing field • This is implicit age normalisation • But for this to work, need to have more flexibility in when children are tested e.g. testing when ready • Works best if testing can happen when truly ready (i.e. the more testing slots during the year the better)

  25. But some problems? • How do you measure school performance? • Clear to us should be based on age adjusted scores/expected levels • We can show that age adjusting scores dramatically changes school rankings within LEAS for Key Stage 2 (70% of schools change rankings) and Key Stage 3 results (20% of schools change rankings) • Some of these movements are very large

  26. Transitions at 16 • Clear to us that it is an urgent policy priority to ensure transitions at age 16 are based on age adjusted attainment • Schools/FE colleges often have grade criteria for continuing certain subjects/courses of study • This must be based on age adjusted criteria or summer born students in particular will be disadvantaged • If children leave school, then they take away their actual qualification (need actual level of human capital for labour market)

  27. Other options? • Teachers and parents need to be made more aware of the impact of date of birth penalties • LEAs should consider allowing all children to start school in September • Reconsideration of rules for free nursery provision • Make free provision available in the year in which child turns 3 rather than in term after they turn 3 • Current system means summer born children generally entitled to less free provision

  28. Panel Discussion

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