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Age of Starting School, Academic Performance, and the Impact of Non-Compliance: An Experiment within an Experiment, Evidence from Australia

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Listed:
  • Beatton, Tony

    (University of Queensland)

  • Kidd, Michael

    (Queensland University of Technology)

  • Niu, Anthony

    (RMIT University)

  • Vella, Francis

    (Georgetown University)

Abstract

This paper estimates the difference in academic performance of the oldest and youngest students in a given grade. We employ Queensland Department of Education school administration panel data for the population of state school students for the years 2008-2016. Academic performance is measured by National standard test scores (NAPLAN) and teacher assessed measures of performance and effort for individuals in grades 3, 5 and 7. The empirical analysis employs a regression discontinuity design (RDD) based on administrative rules on age of school enrolment. The class assigning mechanism operates via a known cut-off date and results in the oldest child in the grade being almost a year older than the youngest. However, as parents may anticipate a disadvantage in their child being the youngest in grade they may choose to delay the timing of initial enrolment. This lack of compliance potentially creates difficulties for the RDD identification strategy, in particular the assumption of exchangeability around the cut-off. We exploit a change in the cut-off rule from a 2008 reform which postponed the school starting age by 6 months and produced a large increase in the compliance rate. This enables one to gauge the importance of non-compliance in estimating the treatment effect of being older versus younger in cohort. We find that the pre-reform treatment effect is small and generally statistically insignificant. Post-reform there is a sizeable and statistically significant treatment effect which diminishes as the sample proceeds through school grades, 3, 5 and 7.

Suggested Citation

  • Beatton, Tony & Kidd, Michael & Niu, Anthony & Vella, Francis, 2021. "Age of Starting School, Academic Performance, and the Impact of Non-Compliance: An Experiment within an Experiment, Evidence from Australia," IZA Discussion Papers 14168, Institute of Labor Economics (IZA).
  • Handle: RePEc:iza:izadps:dp14168
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    1. Dionissi Aliprantis, 2014. "When Should Children Start School?," Journal of Human Capital, University of Chicago Press, vol. 8(4), pages 481-536.
    2. Elizabeth Dhuey & David Figlio & Krzysztof Karbownik & Jeffrey Roth, 2019. "School Starting Age and Cognitive Development," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 38(3), pages 538-578, June.
    3. Patrick A. Puhani & Andrea M. Weber, 2008. "Does the early bird catch the worm?," Studies in Empirical Economics, in: Christian Dustmann & Bernd Fitzenberger & Stephen Machin (ed.), The Economics of Education and Training, pages 105-132, Springer.
    4. Marinho Bertanha & Guido W. Imbens, 2020. "External Validity in Fuzzy Regression Discontinuity Designs," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 38(3), pages 593-612, July.
    5. 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.
    6. Flavio Cunha & James J. Heckman & Susanne M. Schennach, 2010. "Estimating the Technology of Cognitive and Noncognitive Skill Formation," Econometrica, Econometric Society, vol. 78(3), pages 883-931, May.
    7. Mühlenweg, Andrea M., 2010. "Young and innocent: International evidence on age effects within grades on victimization in elementary school," Economics Letters, Elsevier, vol. 109(3), pages 157-160, December.
    8. 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).
    9. Nikhil Jha, 2015. "Late Start with Extra Schooling: The Effect of Increase in School Entry Age and Preschool Provision," The Economic Record, The Economic Society of Australia, vol. 91(S1), pages 54-77, June.
    10. James J. Heckman & Dimitriy V. Masterov, 2007. "The Productivity Argument for Investing in Young Children," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 29(3), pages 446-493.
    11. 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.
    12. Imbens, Guido W. & Lemieux, Thomas, 2008. "Regression discontinuity designs: A guide to practice," Journal of Econometrics, Elsevier, vol. 142(2), pages 615-635, February.
    13. James Heckman & Rodrigo Pinto & Peter Savelyev, 2013. "Understanding the Mechanisms through Which an Influential Early Childhood Program Boosted Adult Outcomes," American Economic Review, American Economic Association, vol. 103(6), pages 2052-2086, October.
    14. Fredriksson, Peter & Öckert, Björn, 2005. "Is Early Learning Really More Productive? The Effect of School Starting Age on School and Labor Market Performance," IZA Discussion Papers 1659, Institute of Labor Economics (IZA).
    15. Rashmi Barua & Kevin Lang, 2016. "School Entry, Educational Attainment, and Quarter of Birth: A Cautionary Tale of a Local Average Treatment Effect," Journal of Human Capital, University of Chicago Press, vol. 10(3), pages 347-376.
    16. Michele Pellizzari & Francesco Billari, 2012. "The younger, the better? Age-related differences in academic performance at university," Journal of Population Economics, Springer;European Society for Population Economics, vol. 25(2), pages 697-739, January.
    17. Kelly Bedard & Elizabeth Dhuey, 2006. "The Persistence of Early Childhood Maturity: International Evidence of Long-Run Age Effects," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 121(4), pages 1437-1472.
    18. 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.
    19. Hahn, Jinyong & Todd, Petra & Van der Klaauw, Wilbert, 2001. "Identification and Estimation of Treatment Effects with a Regression-Discontinuity Design," Econometrica, Econometric Society, vol. 69(1), pages 201-209, January.
    20. 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.
    21. Page, Lionel & Sarkar, Dipanwita & Silva-Goncalves, Juliana, 2017. "The older the bolder: Does relative age among peers influence children’s preference for competition?," Journal of Economic Psychology, Elsevier, vol. 63(C), pages 43-81.
    22. 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.
    23. Flavio Cunha & James J. Heckman, 2008. "Formulating, Identifying and Estimating the Technology of Cognitive and Noncognitive Skill Formation," Journal of Human Resources, University of Wisconsin Press, vol. 43(4).
    24. Mühlenweg, Andrea & Blomeyer, Dorothea & Stichnoth, Holger & Laucht, Manfred, 2012. "Effects of age at school entry (ASE) on the development of non-cognitive skills: Evidence from psychometric data," Economics of Education Review, Elsevier, vol. 31(3), pages 68-76.
    25. Matias D. Cattaneo & Nicolas Idrobo & Rocio Titiunik, 2019. "A Practical Introduction to Regression Discontinuity Designs: Foundations," Papers 1911.09511, arXiv.org.
    26. 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.
    27. McCrary, Justin, 2008. "Manipulation of the running variable in the regression discontinuity design: A density test," Journal of Econometrics, Elsevier, vol. 142(2), pages 698-714, February.
    28. 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).
    29. Datar, Ashlesha, 2006. "Does delaying kindergarten entrance give children a head start?," Economics of Education Review, Elsevier, vol. 25(1), pages 43-62, February.
    30. Matthew A. Lenard & Pablo A. Peña, 2018. "Maturity and minorities: the impact of redshirting on achievement gaps," Education Economics, Taylor & Francis Journals, vol. 26(6), pages 593-609, November.
    31. Cook, Philip J. & Kang, Songman, 2020. "Girls to the front: How redshirting and test-score gaps are affected by a change in the school-entry cut date," Economics of Education Review, Elsevier, vol. 76(C).
    32. Nicole Black & David W. Johnston & Anna Peeters, 2015. "Childhood Obesity and Cognitive Achievement," Health Economics, John Wiley & Sons, Ltd., vol. 24(9), pages 1082-1100, September.
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    More about this item

    Keywords

    national standard achievement tests; compliance rates; fuzzy regression discontinuity;
    All these keywords.

    JEL classification:

    • I29 - Health, Education, and Welfare - - Education - - - Other

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