IDEAS home Printed from https://ideas.repec.org/p/iza/izadps/dp7897.html
   My bibliography  Save this paper

The Long-Term Effects of Early Track Choice

Author

Listed:
  • Dustmann, Christian

    (University College London)

  • Puhani, Patrick A.

    (Leibniz University of Hannover)

  • Schönberg, Uta

    (University College London)

Abstract

Despite its efficiency in tailoring education to the needs of students, a tracking system has the inherent problem of misallocating students to tracks because of incomplete information at the time of the tracking decision. This paper investigates the effects of attending a more advanced track in middle school on long-term education and labor market outcomes for Germany, a country with a very rigorous tracking system where the risk of misallocating students to tracks is, due to the early age at which tracking takes place, particularly high. Our research design exploits quasi-random shifts between tracks induced by date of birth, and identifies the long-term effects of early track attendance for a group of marginal students most at risk of misallocation. Remarkably, we find no evidence that for these students, attending a more advanced track leads to more favorable long-term outcomes. We attribute this result to the up- and downgrading of students between tracks after middle school when more information about their potential is available. Overall, our findings underscore that flexibilities built into a tracking system, which allow students to revise initial track choices at a later stage, effectively remedy even a prolonged exposure to a less advanced school environment.

Suggested Citation

  • Dustmann, Christian & Puhani, Patrick A. & Schönberg, Uta, 2014. "The Long-Term Effects of Early Track Choice," IZA Discussion Papers 7897, Institute of Labor Economics (IZA).
  • Handle: RePEc:iza:izadps:dp7897
    as

    Download full text from publisher

    File URL: https://docs.iza.org/dp7897.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Joseph G. Altonji & Todd E. Elder & Christopher R. Taber, 2005. "Selection on Observed and Unobserved Variables: Assessing the Effectiveness of Catholic Schools," Journal of Political Economy, University of Chicago Press, vol. 113(1), pages 151-184, February.
    2. Eric A. Hanushek & Ludger Wössmann, 2006. "Does Educational Tracking Affect Performance and Inequality? Differences- in-Differences Evidence Across Countries," Economic Journal, Royal Economic Society, vol. 116(510), pages 63-76, March.
    3. Victor Lavy & Analia Schlosser, 2011. "Mechanisms and Impacts of Gender Peer Effects at School," American Economic Journal: Applied Economics, American Economic Association, vol. 3(2), pages 1-33, April.
    4. David J. Deming, 2011. "Better Schools, Less Crime?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 126(4), pages 2063-2115.
    5. 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.
    6. Raj Chetty & John N. Friedman & Nathaniel Hilger & Emmanuel Saez & Diane Whitmore Schanzenbach & Danny Yagan, 2011. "How Does Your Kindergarten Classroom Affect Your Earnings? Evidence from Project Star," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 126(4), pages 1593-1660.
    7. 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.
    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. Eric D. Gould & Victor Lavy & M. Daniele Paserman, 2004. "Immigrating to Opportunity: Estimating the Effect of School Quality Using a Natural Experiment on Ethiopians in Israel," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 119(2), pages 489-526.
    10. Clark Damon, 2010. "Selective Schools and Academic Achievement," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 10(1), pages 1-40, February.
    11. 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.
    12. Cullen, Julie Berry & Jacob, Brian A. & Levitt, Steven D., 2005. "The impact of school choice on student outcomes: an analysis of the Chicago Public Schools," Journal of Public Economics, Elsevier, vol. 89(5-6), pages 729-760, June.
    13. 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.
    14. 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.
    15. Atila Abdulkadiroğlu & Joshua Angrist & Parag Pathak, 2014. "The Elite Illusion: Achievement Effects at Boston and New York Exam Schools," Econometrica, Econometric Society, vol. 82(1), pages 137-196, January.
    16. William N. Evans & Robert M. Schwab, 1995. "Finishing High School and Starting College: Do Catholic Schools Make a Difference?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 110(4), pages 941-974.
    17. C. Kirabo Jackson, 2010. "Do Students Benefit from Attending Better Schools? Evidence from Rule-based Student Assignments in Trinidad and Tobago," Economic Journal, Royal Economic Society, vol. 120(549), pages 1399-1429, December.
    18. 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.
    19. Raj Chetty & John N. Friedman & Jonah E. Rockoff, 2011. "The Long-Term Impacts of Teachers: Teacher Value-Added and Student Outcomes in Adulthood," NBER Working Papers 17699, National Bureau of Economic Research, Inc.
    20. Christian Dustmann & Johannes Ludsteck & Uta Schönberg, 2009. "Revisiting the German Wage Structure," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 124(2), pages 843-881.
    21. Kelly Bedard & Elizabeth Dhuey, 2012. "School-Entry Policies and Skill Accumulation Across Directly and Indirectly Affected Individuals," Journal of Human Resources, University of Wisconsin Press, vol. 47(3), pages 643-683.
    22. Figlio, David N. & Page, Marianne E., 2002. "School Choice and the Distributional Effects of Ability Tracking: Does Separation Increase Inequality?," Journal of Urban Economics, Elsevier, vol. 51(3), pages 497-514, May.
    23. Cristian Pop-Eleches & Miguel Urquiola, 2013. "Going to a Better School: Effects and Behavioral Responses," American Economic Review, American Economic Association, vol. 103(4), pages 1289-1324, June.
    24. 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).
    25. Victor Lavy & Analía Schlosser, 2011. "Corrigendum: Mechanisms and Impacts of Gender Peer Effects at School," American Economic Journal: Applied Economics, American Economic Association, vol. 3(3), pages 268-268, July.
    26. 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.
    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. Christian Dustmann & Patrick A. Puhani & Uta Schönberg, 2012. "The Long-term Effects of School Quality on Labor Market Outcomes and Educational Attainment," RF Berlin - CReAM Discussion Paper Series 1208, Rockwool Foundation Berlin (RF Berlin) - Centre for Research and Analysis of Migration (CReAM).
    2. Figlio, D. & Karbownik, K. & Salvanes, K.G., 2016. "Education Research and Administrative Data," Handbook of the Economics of Education,, Elsevier.
    3. de Gendre, Alexandra & Salamanca, Nicolás, 2020. "On the Mechanisms of Ability Peer Effects," IZA Discussion Papers 13938, Institute of Labor Economics (IZA).
    4. Christopher Belfield & Imran Rasul, 2020. "Cognitive and Non‐Cognitive Impacts of High‐Ability Peers in Early Years," Fiscal Studies, John Wiley & Sons, vol. 41(1), pages 65-100, March.
    5. Andrew Dustan & Alain de Janvry & Elisabeth Sadoulet, 2017. "Flourish or Fail?: The Risky Reward of Elite High School Admission in Mexico City," Journal of Human Resources, University of Wisconsin Press, vol. 52(3), pages 756-799.
    6. Martina Zweimuller, 2013. "The Effects of School Entry Laws on Educational Attainment and Starting Wages in an Early Tracking System," Annals of Economics and Statistics, GENES, issue 111-112, pages 141-169.
    7. Braakmann, Nils & McDonald, Stephen, 2018. "Student exposure to socio-economic diversity and students’ university outcomes – Evidence from English administrative data," MPRA Paper 90351, University Library of Munich, Germany.
    8. Berniell, Inés & Estrada, Ricardo, 2020. "Poor little children: The socioeconomic gap in parental responses to school disadvantage," Labour Economics, Elsevier, vol. 66(C).
    9. Ahmet Alkan & Sinan Sarpça & Sinan Sarpca, 2023. "Effects of High-Achieving Peers: Findings from a National High School Assignment System," CESifo Working Paper Series 10794, CESifo.
    10. 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.
    11. Wiswall, Matthew & Stiefel, Leanna & Schwartz, Amy Ellen & Boccardo, Jessica, 2014. "Does attending a STEM high school improve student performance? Evidence from New York City," Economics of Education Review, Elsevier, vol. 40(C), pages 93-105.
    12. Canaan, Serena, 2020. "The long-run effects of reducing early school tracking," Journal of Public Economics, Elsevier, vol. 187(C).
    13. Maria Cotofan & Ron Diris & Trudie Schils, 2019. "The Heterogeneous Effects of Early Track Assignment on Cognitive and Non-cognitive Skills," Tinbergen Institute Discussion Papers 19-038/V, Tinbergen Institute.
    14. 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.
    15. 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.
    16. de Roux, Nicolás & Riehl, Evan, 2022. "Do college students benefit from placement into higher-achieving classes?," Journal of Public Economics, Elsevier, vol. 210(C).
    17. Pastore, Chiara & Jones, Andrew M., 2023. "Human capital consequences of missing out on a grammar school education," Economic Modelling, Elsevier, vol. 126(C).
    18. Rigissa Megalokonomou & Yi Zhang, 2022. "How Good Am I? Effects and Mechanisms behind Salient Ranks," CESifo Working Paper Series 9991, CESifo.
    19. Hitoshi Shigeoka, 2015. "School Entry Cutoff Date and the Timing of Births," NBER Working Papers 21402, National Bureau of Economic Research, Inc.
    20. Jackson, C. Kirabo, 2013. "Can higher-achieving peers explain the benefits to attending selective schools? Evidence from Trinidad and Tobago," Journal of Public Economics, Elsevier, vol. 108(C), pages 63-77.

    More about this item

    Keywords

    regression discontinuity design; peer effects; school quality; tracking;
    All these keywords.

    JEL classification:

    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • J10 - Labor and Demographic Economics - - Demographic Economics - - - General

    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:dp7897. 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.