IDEAS home Printed from https://ideas.repec.org/p/iza/izadps/dp14168.html
   My bibliography  Save this paper

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

Author

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
    as

    Download full text from publisher

    File URL: https://docs.iza.org/dp14168.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    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. 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. Dionissi Aliprantis, 2012. "When should children start school?," Working Papers (Old Series) 1126, Federal Reserve Bank of Cleveland.
    13. Imbens, Guido W. & Lemieux, Thomas, 2008. "Regression discontinuity designs: A guide to practice," Journal of Econometrics, Elsevier, vol. 142(2), pages 615-635, February.
    14. 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.
    15. 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).
    16. 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.
    17. 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.
    18. 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.
    19. 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.
    20. 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.
    21. 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.
    22. 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.
    23. 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.
    24. 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).
    25. 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.
    26. Matias D. Cattaneo & Nicolas Idrobo & Rocio Titiunik, 2019. "A Practical Introduction to Regression Discontinuity Designs: Foundations," Papers 1911.09511, arXiv.org.
    27. 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.
    28. 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.
    29. 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).
    30. Datar, Ashlesha, 2006. "Does delaying kindergarten entrance give children a head start?," Economics of Education Review, Elsevier, vol. 25(1), pages 43-62, February.
    31. 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.
    32. 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).
    33. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. 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.
    3. Daniel Rakotomalala, 2020. "The effects of age on educational performances at the end of primary school : cross-sectional and regression discontinuity approach applications from Reunion Island," TEPP Working Paper 2020-06, TEPP.
    4. Goncalo Lima & Luis Catela Nunes & Ana Balcao Reis & Maria do Carmo Seabra, 2022. "No country for young kids? The effects of school starting age throughout childhood and beyond," Nova SBE Working Paper Series wp639, Universidade Nova de Lisboa, Nova School of Business and Economics.
    5. Daniel Rakotomalala, 2021. "The effects of age on educational performances at the end of primary school : cross-sectional and regression discontinuity approach applications from Reunion Island," Working Papers hal-03243392, HAL.
    6. Claire Crawford & Lorraine Dearden & Ellen Greaves, 2013. "The drivers of month of birth differences in children's cognitive and non-cognitive skills: a regression discontinuity analysis," IFS Working Papers W13/08, Institute for Fiscal Studies.
    7. Görlitz, Katja & Penny, Merlin & Tamm, Marcus, 2022. "The long-term effect of age at school entry on cognitive competencies in adulthood," Journal of Economic Behavior & Organization, Elsevier, vol. 194(C), pages 91-104.
    8. Page, Lionel & Sarkar, Dipanwita & Silva-Goncalves, Juliana, 2019. "Long-lasting effects of relative age at school," Journal of Economic Behavior & Organization, Elsevier, vol. 168(C), pages 166-195.
    9. Peña, Pablo A. & Duckworth, Angela L., 2018. "The effects of relative and absolute age in the measurement of grit from 9th to 12th grade," Economics of Education Review, Elsevier, vol. 66(C), pages 183-190.
    10. Claire Crawford & Lorraine Dearden & Ellen Greaves, 2013. "The impact of age within academic year on adult outcomes," DoQSS Working Papers 13-05, Quantitative Social Science - UCL Social Research Institute, University College London.
    11. Fumarco, Luca & Baert, Stijn, 2019. "Relative age effect on European adolescents’ social network," Journal of Economic Behavior & Organization, Elsevier, vol. 168(C), pages 318-337.
    12. 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.
    13. Hitoshi Shigeoka, 2015. "School Entry Cutoff Date and the Timing of Births," NBER Working Papers 21402, National Bureau of Economic Research, Inc.
    14. Page, Lionel & Sarkar, Dipanwita & Silva-Goncalves, Juliana, 2019. "Long-lasting effects of relative age at school," Journal of Economic Behavior & Organization, Elsevier, vol. 168(C), pages 166-195.
    15. Fumarco, L. & Baert, S. & Sarracino, F., 2020. "Younger, dissatisfied, and unhealthy – Relative age in adolescence," Economics & Human Biology, Elsevier, vol. 37(C).
    16. Michael Bahrs & Mathias Schumann, 2020. "Unlucky to be young? The long-term effects of school starting age on smoking behavior and health," Journal of Population Economics, Springer;European Society for Population Economics, vol. 33(2), pages 555-600, April.
    17. Fumarco, Luca & Baert, Stijn, 2018. "Younger and Dissatisfied? Relative Age and Life-satisfaction in Adolescence," MPRA Paper 89968, University Library of Munich, Germany.
    18. Dhuey, Elizabeth & Lipscomb, Stephen, 2010. "Disabled or young? Relative age and special education diagnoses in schools," Economics of Education Review, Elsevier, vol. 29(5), pages 857-872, October.
    19. Görlitz, Katja & Penny, Merlin & Tamm, Marcus, 2019. "The long-term effect of age at school entry on competencies in adulthood," Ruhr Economic Papers 792, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    20. Carta, Francesca & Rizzica, Lucia, 2018. "Early kindergarten, maternal labor supply and children's outcomes: Evidence from Italy," Journal of Public Economics, Elsevier, vol. 158(C), pages 79-102.

    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

    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:iza:izadps:dp14168. 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.

    If CitEc recognized a bibliographic 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.

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