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Should we sort it out later? The effect of tracking age on long-run outcomes

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  • Borghans, By Lex
  • Diris, Ron
  • Smits, Wendy
  • de Vries, Jannes

Abstract

This study estimates the long-run effect of the school tracking age on educational attainment and labour market outcomes. We exploit within-country variation in tracking ages for students in the highest two tracks in the Netherlands, using the supply of early tracking schools at the municipal level as an instrument for early tracking (tracking at age 12–13 vs. age 14). Combining several data sources, we find that early tracking leads to a decrease in higher education completion, and that it lowers earnings for both low-ability and medium-ability students in the sample. Estimates for high-ability students are positive but imprecisely estimated. The negative effects appear largely driven by higher misallocation of students to tracks when they are sorted early. Robustness analyses strongly suggest that the results are not driven by sorting between municipalities.

Suggested Citation

  • Borghans, By Lex & Diris, Ron & Smits, Wendy & de Vries, Jannes, 2020. "Should we sort it out later? The effect of tracking age on long-run outcomes," Economics of Education Review, Elsevier, vol. 75(C).
    • Handle: RePEc:eee:ecoedu:v:75:y:2020:i:c:s0272775719300512
    DOI: 10.1016/j.econedurev.2020.101973
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    as
    1. Erik Hanushek & Stephen Machin & Ludger Woessmann (ed.), 2011. "Handbook of the Economics of Education," Handbook of the Economics of Education, Elsevier, edition 1, volume 4, number 4, June.
    2. Sacerdote, Bruce, 2011. "Peer Effects in Education: How Might They Work, How Big Are They and How Much Do We Know Thus Far?," Handbook of the Economics of Education, in: Erik Hanushek & Stephen Machin & Ludger Woessmann (ed.), Handbook of the Economics of Education, edition 1, volume 3, chapter 4, pages 249-277, Elsevier.
    3. Piopiunik, Marc, 2014. "The effects of early tracking on student performance: Evidence from a school reform in Bavaria," Economics of Education Review, Elsevier, vol. 42(C), pages 12-33.
    4. James Heckman & Flavio Cunha, 2007. "The Technology of Skill Formation," American Economic Review, American Economic Association, vol. 97(2), pages 31-47, May.
    5. Caroline Hall, 2012. "The Effects of Reducing Tracking in Upper Secondary School: Evidence from a Large-Scale Pilot Scheme," Journal of Human Resources, University of Wisconsin Press, vol. 47(1), pages 237-269.
    6. Esther Duflo & Pascaline Dupas & Michael Kremer, 2011. "Peer Effects, Teacher Incentives, and the Impact of Tracking: Evidence from a Randomized Evaluation in Kenya," American Economic Review, American Economic Association, vol. 101(5), pages 1739-1774, August.
    7. Korthals, R.A., 2012. "Selection and tracking in secondary education: a cross country analysis of student performance and educational opportunities," ROA Research Memorandum 014, Maastricht University, Research Centre for Education and the Labour Market (ROA).
    8. Malamud, Ofer & Pop-Eleches, Cristian, 2011. "School tracking and access to higher education among disadvantaged groups," Journal of Public Economics, Elsevier, vol. 95(11), pages 1538-1549.
    9. 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.
    10. Benjamin Elsner & Ingo E. Isphording, 2017. "A Big Fish in a Small Pond: Ability Rank and Human Capital Investment," Journal of Labor Economics, University of Chicago Press, vol. 35(3), pages 787-828.
    11. Costas Meghir & Mårten Palme, 2005. "Educational Reform, Ability, and Family Background," American Economic Review, American Economic Association, vol. 95(1), pages 414-424, March.
    12. Nina Guyon & Eric Maurin & Sandra McNally, 2012. "The Effect of Tracking Students by Ability into Different Schools: A Natural Experiment," Journal of Human Resources, University of Wisconsin Press, vol. 47(3), pages 684-721.
    13. Pekkarinen, Tuomas & Uusitalo, Roope & Kerr, Sari, 2009. "School tracking and intergenerational income mobility: Evidence from the Finnish comprehensive school reform," Journal of Public Economics, Elsevier, vol. 93(7-8), pages 965-973, August.
    14. Korthals, R.A., 2012. "Selection and tracking in secondary education: a cross country analysis of student performance and educational opportunities," ROA Research Memorandum 14, Maastricht University, Research Centre for Education and the Labour Market (ROA).
    15. Manning, Alan & Pischke, Jörn-Steffen, 2006. "Comprehensive versus Selective Schooling in England in Wales: What Do We Know?," IZA Discussion Papers 2072, Institute of Labor Economics (IZA).
    16. Eric A. Hanushek & Lei Zhang, 2006. "Quality-Consistent Estimates of International Returns to Skill," NBER Working Papers 12664, National Bureau of Economic Research, Inc.
    17. Christian Dustmann & Patrick A. Puhani & Uta Schönberg, 2017. "The Long‐term Effects of Early Track Choice," Economic Journal, Royal Economic Society, vol. 127(603), pages 1348-1380, August.
    18. Manudeep Bhuller & Magne Mogstad & Kjell G.Salvanes, 2011. "Life-cycle bias and the returns to schooling in current and lifetime earnings," Discussion Papers 666, Statistics Norway, Research Department.
    19. Borghans, Lex & Golsteyn, Bart H.H. & Zölitz, Ulf, 2015. "School Quality and the Development of Cognitive Skills between Age Four and Six," IZA Discussion Papers 9200, Institute of Labor Economics (IZA).
    20. Andrews,Donald W. K. & Stock,James H. (ed.), 2005. "Identification and Inference for Econometric Models," Cambridge Books, Cambridge University Press, number 9780521844413.
    21. Christian Dustmann & Patrick A. Puhani & Uta Schönberg, 2017. "The Long‐term Effects of Early Track Choice," Economic Journal, Royal Economic Society, vol. 127(603), pages 1348-1380, August.
    22. Sari Pekkala Kerr & Tuomas Pekkarinen & Roope Uusitalo, 2013. "School Tracking and Development of Cognitive Skills," Journal of Labor Economics, University of Chicago Press, vol. 31(3), pages 577-602.
    23. Giacomo DeGiorgi, "undated". "Be As Careful Of The Company You Keep As Of The Books You Read. Peer Effects In Education And On The Labor Market," Discussion Papers 07-054, Stanford Institute for Economic Policy Research.
    24. Douglas Staiger & James H. Stock, 1997. "Instrumental Variables Regression with Weak Instruments," Econometrica, Econometric Society, vol. 65(3), pages 557-586, May.
    25. Gustavo J. Bobonis & Frederico Finan, 2009. "Neighborhood Peer Effects in Secondary School Enrollment Decisions," The Review of Economics and Statistics, MIT Press, vol. 91(4), pages 695-716, November.
    26. Galindo-Rueda, Fernando & Vignoles, Anna, 2004. "The Heterogeneous Effect of Selection in Secondary Schools: Understanding the Changing Role of Ability," IZA Discussion Papers 1245, Institute of Labor Economics (IZA).
    27. van Elk, Roel & van der Steeg, Marc & Webbink, Dinand, 2011. "Does the timing of tracking affect higher education completion?," Economics of Education Review, Elsevier, vol. 30(5), pages 1009-1021, October.
    28. Ofer Malamud & Cristian Pop-Eleches, 2010. "General Education versus Vocational Training: Evidence from an Economy in Transition," The Review of Economics and Statistics, MIT Press, vol. 92(1), pages 43-60, February.
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    Cited by:

    1. Thomas van Huizen & Madelon Jacobs & Matthijs Oosterveen, 2024. "Teacher bias or measurement error?," Papers 2401.04200, arXiv.org, revised Feb 2024.
    2. Bles, Per & van der Velden, Rolf & Ariës, Roel J., 2020. "Is there an opportunity-performance trade-off in secondary education?," Research Memorandum 022, Maastricht University, Graduate School of Business and Economics (GSBE).
    3. Maria Zumbuehl & Nihal Chehber & Rik Dillingh, 2022. "Can skill differences explain the gap in the track recommendation by socio-economic status?," CPB Discussion Paper 439, CPB Netherlands Bureau for Economic Policy Analysis.
    4. Thomas van Huizen, 2021. "Teacher bias or measurement error bias? Evidence from track recommendations," Working Papers 2113, Utrecht School of Economics.
    5. Bach, Maximilian & Fischer, Mira, 2020. "Understanding the response to high-stakes incentives in primary education," ZEW Discussion Papers 20-066, ZEW - Leibniz Centre for European Economic Research.
    6. Elisabeth Grewenig, 2021. "School Track Decisions and Teacher Recommendations: Evidence from German State Reforms," ifo Working Paper Series 353, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    7. Mari, Gabriele & Keizer, Renske & van Gaalen, Ruben, 2022. "The Timing of Parental Unemployment, Insurance, and Children's Education," SocArXiv 7rm6g, Center for Open Science.
    8. Mari, Gabriele, 2023. "Less for more? Cuts to child benefits, family adjustments, and long-run child outcomes in larger families," SocArXiv e3n82, Center for Open Science.

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    More about this item

    Keywords

    Educational economics; Efficiency; Wage differentials;
    All these keywords.

    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

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