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No country for young kids? The effects of school starting age throughout childhood and beyond

Author

Listed:
  • Goncalo Lima
  • Luis Catela Nunes
  • Ana Balcao Reis
  • Maria do Carmo Seabra

Abstract

Being the youngest in a cohort entails many penalties. Using administrative data of every public-school student in Portugal, we show that although performance gains from being 1-year older fade quickly from primary education to high school, age-related penalties persist through a combination of grade retention, educational tracking and testing policies. Those that start school younger are more likely to repeat grades and ultimately drop out from school. Older entrants are more likely to enroll in scientific curricula in high school, are more successful at accessing public higher education and enroll in more selective undergraduate courses.

Suggested Citation

  • 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.
    • Handle: RePEc:unl:unlfep:wp639
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    References listed on IDEAS

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    1. Nicole Schneeweis & Martina Zweimüller, 2014. "Early Tracking and the Misfortune of Being Young," Scandinavian Journal of Economics, Wiley Blackwell, vol. 116(2), pages 394-428, April.
    2. David Deming & Susan Dynarski, 2008. "The Lengthening of Childhood," Journal of Economic Perspectives, American Economic Association, vol. 22(3), pages 71-92, Summer.
    3. Elizabeth U. Cascio & Diane Whitmore Schanzenbach, 2016. "First in the Class? Age and the Education Production Function," Education Finance and Policy, MIT Press, vol. 11(3), pages 225-250, Summer.
    4. David S. Lee & Thomas Lemieux, 2010. "Regression Discontinuity Designs in Economics," Journal of Economic Literature, American Economic Association, vol. 48(2), pages 281-355, June.
    5. 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.
    6. Peter Fredriksson & Björn Öckert, 2014. "Life‐cycle Effects of Age at School Start," Economic Journal, Royal Economic Society, vol. 124(579), pages 977-1004, September.
    7. Kasey S. Buckles & Daniel M. Hungerman, 2013. "Season of Birth and Later Outcomes: Old Questions, New Answers," The Review of Economics and Statistics, MIT Press, vol. 95(3), pages 711-724, July.
    8. 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.
    9. 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.
    10. 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.
    11. Fertig, Michael & Kluve, Jochen, 2005. "The Effect of Age at School Entry on Educational Attainment in Germany," IZA Discussion Papers 1507, Institute of Labor Economics (IZA).
    12. 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.
    13. Imbens, Guido W & Angrist, Joshua D, 1994. "Identification and Estimation of Local Average Treatment Effects," Econometrica, Econometric Society, vol. 62(2), pages 467-475, March.
    14. Guido Imbens & Karthik Kalyanaraman, 2012. "Optimal Bandwidth Choice for the Regression Discontinuity Estimator," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 79(3), pages 933-959.
    15. repec:mpr:mprres:6738 is not listed on IDEAS
    16. 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.
    17. 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.
    18. Attar, Itay & Cohen-Zada, Danny, 2018. "The effect of school entrance age on educational outcomes: Evidence using multiple cutoff dates and exact date of birth," Journal of Economic Behavior & Organization, Elsevier, vol. 153(C), pages 38-57.
    19. Imbens, Guido W. & Lemieux, Thomas, 2008. "Regression discontinuity designs: A guide to practice," Journal of Econometrics, Elsevier, vol. 142(2), pages 615-635, February.
    20. 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.
    21. Black, Sandra E. & Devereux, Paul J., 2011. "Recent Developments in Intergenerational Mobility," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 4, chapter 16, pages 1487-1541, Elsevier.
    22. Magnus Carlsson & Gordon B. Dahl & Björn Öckert & Dan-Olof Rooth, 2015. "The Effect of Schooling on Cognitive Skills," The Review of Economics and Statistics, MIT Press, vol. 97(3), pages 533-547, July.
    23. 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.
    24. Sebastian Calonico & Matias D. Cattaneo & Max H. Farrell & Roc ́ıo Titiunik, 2017. "rdrobust: Software for regression-discontinuity designs," Stata Journal, StataCorp LP, vol. 17(2), pages 372-404, June.
    25. 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.
    26. Peter Ganong & Simon Jäger, 2018. "A Permutation Test for the Regression Kink Design," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 113(522), pages 494-504, April.
    27. 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.
    28. 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.
    29. 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).
    30. 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).
    31. 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.
    32. Philip J. Cook & Songman Kang, 2016. "Birthdays, Schooling, and Crime: Regression-Discontinuity Analysis of School Performance, Delinquency, Dropout, and Crime Initiation," American Economic Journal: Applied Economics, American Economic Association, vol. 8(1), pages 33-57, January.
    33. Evans, William N. & Morrill, Melinda S. & Parente, Stephen T., 2010. "Measuring inappropriate medical diagnosis and treatment in survey data: The case of ADHD among school-age children," Journal of Health Economics, Elsevier, vol. 29(5), pages 657-673, September.
    34. 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.
    35. 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.
    36. Thomas Cornelissen & Christian Dustmann, 2019. "Early School Exposure, Test Scores, and Noncognitive Outcomes," American Economic Journal: Economic Policy, American Economic Association, vol. 11(2), pages 35-63, May.
    37. repec:zbw:rwidps:0027 is not listed on IDEAS
    38. Zhang, Shiying & Zhong, Ruoyu & Zhang, Junchao, 2017. "School starting age and academic achievement: Evidence from China's junior high schools," China Economic Review, Elsevier, vol. 44(C), pages 343-354.
    39. Matias D. Cattaneo & Michael Jansson & Xinwei Ma, 2018. "Manipulation testing based on density discontinuity," Stata Journal, StataCorp LP, vol. 18(1), pages 234-261, March.
    40. Philip J. Cook & Songman Kang, 2018. "The School-Entry-Age Rule Affects Redshirting Patterns and Resulting Disparities in Achievement," NBER Working Papers 24492, National Bureau of Economic Research, Inc.
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    More about this item

    Keywords

    School starting age; education; student achievement;
    All these keywords.

    JEL classification:

    • H75 - Public Economics - - State and Local Government; Intergovernmental Relations - - - State and Local Government: Health, Education, and Welfare
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • J13 - Labor and Demographic Economics - - Demographic Economics - - - Fertility; Family Planning; Child Care; Children; Youth

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