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The Outflow of High-ability Students from Regular Schools and Its Long-term Impact on Those Left Behind

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  • Miroslava Federicova

Abstract

Early tracking school systems, which stream student by ability, are considered a trigger of widening inequality in education. However, more homogenous class composition resulting from ability tracking seem to improve efficiency of teaching and learning. Literature on peer effects shows contradictory findings about these two counteracting effects. This paper contributes to the discussion of the efficacy of ability tracking by examining the effects of the outflow of high-ability students after primary education on the long-term educational outcomes and behaviour of their peers who remain in regular classes. Exploiting a 2009 school reform in Slovakia which postponed tracking by one year, we show that the outflow of high-performing peers results in a weak negative longrun effect on non-tracked student’s math scores and late arrivals at school, and more persistent negative effects on out-of-school study time.

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  • Miroslava Federicova, 2021. "The Outflow of High-ability Students from Regular Schools and Its Long-term Impact on Those Left Behind," CERGE-EI Working Papers wp709, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
    • Handle: RePEc:cer:papers:wp709
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    References listed on IDEAS

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    1. Andreas Ammermueller & Jörn-Steffen Pischke, 2009. "Peer Effects in European Primary Schools: Evidence from the Progress in International Reading Literacy Study," Journal of Labor Economics, University of Chicago Press, vol. 27(3), pages 315-348, July.
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    3. 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.
    4. Ammermüller, Andreas, 2005. "Educational Opportunities and the Role of Institutions," ZEW Discussion Papers 05-44, ZEW - Leibniz Centre for European Economic Research.
    5. Delaney, Judith M. & Devereux, Paul J., 2021. "High School Rank in Math and English and the Gender Gap in STEM," Labour Economics, Elsevier, vol. 69(C).
    6. 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.
    7. 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.
    8. Miroslava Federičová & Daniel Münich, 2017. "The impact of high-stakes school admission exams on study achievements: quasi-experimental evidence from Slovakia," Journal of Population Economics, Springer;European Society for Population Economics, vol. 30(4), pages 1069-1092, October.
    9. 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.
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    Keywords

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    JEL classification:

    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • I24 - Health, Education, and Welfare - - Education - - - Education and Inequality
    • I28 - Health, Education, and Welfare - - Education - - - Government Policy

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