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Anticipatory effects of curriculum tracking

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  • Kristian Koerselman

    () (Department of Economics and Statistics, Abo Akademi University)

Abstract

Curriculum tracking, the separation of secondary school students into academic and vocational tracks, correlates positively with pretracking achievement in both British and international data. I argue that this correlation is caused by the incentives emanating from the track placement decision. Using test score data collected in TIMSS 1995 and 2003, and in PIRLS 2001 and 2006, I investigate the effect of tracking on the early achievement distribution empirically, amongst others by means of quantile regression. The evidence presented in this paper implicates that previous valueadded estimates of the net impact of tracking may be biased.

Suggested Citation

  • Kristian Koerselman, 2009. "Anticipatory effects of curriculum tracking," Discussion Papers 47, Aboa Centre for Economics.
  • Handle: RePEc:tkk:dpaper:dp47
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    File URL: http://www.ace-economics.fi/kuvat/dp47.pdf
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    References listed on IDEAS

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    1. Pekkarinen, Tuomas, 2005. "Gender Differences in Educational Attainment: Evidence on the Role of the Tracking Age from a Finnish Quasi-Experiment," IZA Discussion Papers 1897, Institute for the Study of Labor (IZA).
    2. Giorgio Brunello & Daniele Checchi, 2007. "Does school tracking affect equality of opportunity? New international evidence," Economic Policy, CEPR;CES;MSH, vol. 22, pages 781-861, October.
    3. Ammermüller, Andreas, 2005. "Educational Opportunities and the Role of Institutions," ZEW Discussion Papers 05-44, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.
    4. Bedard, Kelly & Cho, Insook, 2010. "Early gender test score gaps across OECD countries," Economics of Education Review, Elsevier, vol. 29(3), pages 348-363, June.
    5. Koenker,Roger, 2005. "Quantile Regression," Cambridge Books, Cambridge University Press, number 9780521845731, March.
    6. Costas Meghir & Mårten Palme, 2005. "Educational Reform, Ability, and Family Background," American Economic Review, American Economic Association, vol. 95(1), pages 414-424, March.
    7. Andreas Ammermueller & Jörn-Steffen Pischke, 2006. "Peer Effects in European Primary Schools: Evidence from PIRLS," CEE Discussion Papers 0065, Centre for the Economics of Education, LSE.
    8. Manning, Alan & Pischke, Jörn-Steffen, 2006. "Comprehensive versus Selective Schooling in England in Wales: What Do We Know?," IZA Discussion Papers 2072, Institute for the Study of Labor (IZA).
    9. 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.
    10. 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.
    11. 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 for the Study of Labor (IZA).
    12. Caroline Hoxby, 2000. "Peer Effects in the Classroom: Learning from Gender and Race Variation," NBER Working Papers 7867, National Bureau of Economic Research, Inc.
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    More about this item

    Keywords

    curriculum tracking; ability streaming; anticipatory effects; high-stakes testing;

    JEL classification:

    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • I28 - Health, Education, and Welfare - - Education - - - Government Policy
    • J08 - Labor and Demographic Economics - - General - - - Labor Economics Policies
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity

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