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Can skill differences explain the gap in the track recommendation by socio-economic status?

Author

Listed:
  • Maria Zumbuehl

    (CPB Netherlands Bureau for Economic Policy Analysis)

  • Nihal Chehber

    (CPB Netherlands Bureau for Economic Policy Analysis)

  • Rik Dillingh

    (CPB Netherlands Bureau for Economic Policy Analysis)

Abstract

Tracking early in the school career can influence a student's further educational path significantly. We study the track advice at the end of primary school in the Netherlands, where teachers give a track advice based on a student's previous performance and their impression of the student's ability. If the student outperforms the initial advice in the subsequent nationwide test, the school reevaluates the student and can – but does not have to – update the final advice. We use cognitive and non-cognitive skills measurements that are collected three years before the tracking decision is made, linked with the teachers initial and revised advice, as well as background information from register data. We find that with equal skills, students from lower socio-economic backgrounds receive on average lower advice, while students with a migration background receive on average higher advice. A decomposition of the total difference in initial advice between students from high versus low educated parents shows that around 55% of the difference in advice can be explained by differences in cognitive and non-cognitive skills. Adding additional information about the family, school and place of residence, we can explain about 71% of the difference between students with low and high educated parents. We do not find a significant change in the gap in advice between children from different socio-economic backgrounds after the nationwide test and reevaluation procedure.

Suggested Citation

  • 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.
  • Handle: RePEc:cpb:discus:439
    DOI: 10.34932/sv55-2d58
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    References listed on IDEAS

    as
    1. Armin Falk & Fabian Kosse & Pia Pinger, 2020. "Mentoring and Schooling Decisions: Causal Evidence," CESifo Working Paper Series 8382, CESifo.
    2. Alberto Alesina & Michela Carlana & Eliana La Ferrara & Paolo Pinotti, 2018. "Revealing Stereotypes: Evidence from Immigrants in Schools," NBER Working Papers 25333, National Bureau of Economic Research, Inc.
    3. Canaan, Serena, 2020. "The long-run effects of reducing early school tracking," Journal of Public Economics, Elsevier, vol. 187(C).
    4. Nicholas W. Papageorge & Seth Gershenson & Kyung Min Kang, 2020. "Teacher Expectations Matter," The Review of Economics and Statistics, MIT Press, vol. 102(2), pages 234-251, May.
    5. Lex Borghans & Angela Lee Duckworth & James J. Heckman & Bas ter Weel, 2008. "The Economics and Psychology of Personality Traits," Journal of Human Resources, University of Wisconsin Press, vol. 43(4).
    6. Christopher Cornwell & David B. Mustard & Jessica Van Parys, 2013. "Noncognitive Skills and the Gender Disparities in Test Scores and Teacher Assessments: Evidence from Primary School," Journal of Human Resources, University of Wisconsin Press, vol. 48(1), pages 236-264.
    7. Lex Borghans & Ron Diris & Wendy Smits & Jannes de Vries, 2019. "The long-run effects of secondary school track assignment," PLOS ONE, Public Library of Science, vol. 14(10), pages 1-29, October.
    8. David Card & Laura Giuliano, 2016. "Can Tracking Raise the Test Scores of High-Ability Minority Students?," American Economic Review, American Economic Association, vol. 106(10), pages 2783-2816, October.
    9. Victor Lavy & Rigissa Megalokonomou, 2019. "Persistency in Teachers’ Grading Bias and Effects on Longer-Term Outcomes: University Admissions Exams and Choice of Field of Study," NBER Working Papers 26021, National Bureau of Economic Research, Inc.
    10. Roller, Marcus & Steinberg, Daniel, 2020. "The distributional effects of early school stratification - non-parametric evidence from Germany," European Economic Review, Elsevier, vol. 125(C).
    11. Rema N. Hanna & Leigh L. Linden, 2012. "Discrimination in Grading," American Economic Journal: Economic Policy, American Economic Association, vol. 4(4), pages 146-168, November.
    12. Verhagen, Mark D., 2021. "Prediction in Educational Research: An Application to the Study of Teacher Bias," SocArXiv y6mnb, Center for Open Science.
    13. Michela Carlana, 2019. "Implicit Stereotypes: Evidence from Teachers’ Gender Bias," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 134(3), pages 1163-1224.
    14. 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.
    15. Maresa Sprietsma, 2013. "Discrimination in grading: experimental evidence from primary school teachers," Empirical Economics, Springer, vol. 45(1), pages 523-538, August.
    16. Dominique Sulzmaier, 2020. "The causal effect of early tracking in German schools on the intergenerational transmission of education," Working Papers 187, Bavarian Graduate Program in Economics (BGPE).
    17. Oosterbeek, Hessel & Sóvágó, Sándor & van der Klaauw, Bas, 2021. "Preference heterogeneity and school segregation," Journal of Public Economics, Elsevier, vol. 197(C).
    18. 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).
    19. 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.
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    More about this item

    JEL classification:

    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • I24 - Health, Education, and Welfare - - Education - - - Education and Inequality
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity

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