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Better Together? Heterogeneous Effects of Tracking on Student Achievement

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  • Sönke Hendrik Matthewes

Abstract

This study estimates mean and distributional effects of early between-school ability tracking on student achievement. For identification, I exploit heterogeneity in tracking regimes between German federal states. After comprehensive primary school, about 40% of students are selected for the academic track and taught in separate schools in all states. The remaining students, however, are either taught comprehensively or further tracked into two different school forms depending on the state. I estimate the effects of this tracking on students’ mathematics and reading test scores with a difference-in-difference-in-differences estimator to eliminate unobserved heterogeneity in achievement levels and trends between states. I find substantial achievement gains from comprehensive versus tracked schooling at ages 10–12. These average effects are almost entirely driven by low-achievers. I do not find evidence for negative effects of comprehensive schooling on the achievement of higher performing students. My results show that decreasing the degree of tracking in early secondary school can reduce inequality while increasing the efficiency of educational production.

Suggested Citation

  • Sönke Hendrik Matthewes, 2018. "Better Together? Heterogeneous Effects of Tracking on Student Achievement," Discussion Papers of DIW Berlin 1775, DIW Berlin, German Institute for Economic Research.
  • Handle: RePEc:diw:diwwpp:dp1775
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    File URL: https://www.diw.de/documents/publikationen/73/diw_01.c.610089.de/dp1775.pdf
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    References listed on IDEAS

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    1. 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.
    2. Andrew V. Carter & Kevin T. Schnepel & Douglas G. Steigerwald, 2017. "Asymptotic Behavior of a t -Test Robust to Cluster Heterogeneity," The Review of Economics and Statistics, MIT Press, vol. 99(4), pages 698-709, July.
    3. A. Colin Cameron & Jonah B. Gelbach & Douglas L. Miller, 2008. "Bootstrap-Based Improvements for Inference with Clustered Errors," The Review of Economics and Statistics, MIT Press, vol. 90(3), pages 414-427, August.
    4. A. Colin Cameron & Douglas L. Miller, 2015. "A Practitioner’s Guide to Cluster-Robust Inference," Journal of Human Resources, University of Wisconsin Press, vol. 50(2), pages 317-372.
    5. Laura M. Argys & Daniel I. Rees & Dominic J. Brewer, 1996. "Detracking America's schools: Equity at zero cost?," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 15(4), pages 623-645.
    6. 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.
    7. 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.
    8. Betts, Julian R., 2011. "The Economics of Tracking in Education," 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 7, pages 341-381, Elsevier.
    9. Giorgio Brunello & Daniele Checchi, 2007. "Does school tracking affect equality of opportunity? New international evidence [‘Educational opportunities and the role of institutions’]," Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 22(52), pages 782-861.
    10. Marianne Bertrand & Esther Duflo & Sendhil Mullainathan, 2004. "How Much Should We Trust Differences-In-Differences Estimates?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 119(1), pages 249-275.
    11. Aakvik, Arild & Salvanes, Kjell G. & Vaage, Kjell, 2010. "Measuring heterogeneity in the returns to education using an education reform," European Economic Review, Elsevier, vol. 54(4), pages 483-500, May.
    12. Christian Dustmann, 2004. "Parental background, secondary school track choice, and wages," Oxford Economic Papers, Oxford University Press, vol. 56(2), pages 209-230, April.
    13. Thijs Bol & Herman Werfhorst, 2013. "GINI DP 81: The Measurement of Tracking, Vocational Orientation, and Standardization of Educational Systems: a Comparative Approach," GINI Discussion Papers 81, AIAS, Amsterdam Institute for Advanced Labour Studies.
    14. Contini, Dalit & Cugnata, Federica, 2016. "Learning inequalities between primary and secondary school. Difference-in-difference with international assessments," Department of Economics and Statistics Cognetti de Martiis. Working Papers 201607, University of Turin.
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    Cited by:

    1. Edelstein, Benjamin, 2020. "Von der Schulform zur schulischen Organisationsform: Zur Diffusion eines neuen Paradigmas der Schulstrukturentwicklung," Discussion Papers, Presidential Department P 2020-001, WZB Berlin Social Science Center.

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    More about this item

    Keywords

    Tracking; student achievement; inequality; triple differences;
    All these keywords.

    JEL classification:

    • I24 - Health, Education, and Welfare - - Education - - - Education and Inequality
    • I28 - Health, Education, and Welfare - - Education - - - Government Policy
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity

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