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The pre-tracking effects of parental background

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  • Korthals, R.A.

    (Macro, International & Labour Economics)

Abstract

Tracking students in secondary school could increase the effect of parental background (PB) on student performance, especially if parents can influence the track choice. This influence can be either direct or indirect, and either purposefully or not. Little is known about these indirect effects of PB that could arise before tracking has taken place. In the Netherlands the track placement decision of individual students is made by secondary schools that base their decision on two performance signals that they receive from the elementary school of applying students: an elementary school exit test score and an elementary school teacher track recommendation. Using longitudinal data from the Netherlands, I find that high PB parents are able to increase their child’s teacher recommendation (purposefully or not): The odds of having the highest track recommendation as compared to the other recommendations, for students whose parents have a tertiary education degree are between 1.6 and 3.6 times greater than for students whose parents only have a primary education degree. For the math exit test score I find no effect, while for reading an effect is found but not robust.

Suggested Citation

  • Korthals, R.A., 2015. "The pre-tracking effects of parental background," Research Memorandum 010, Maastricht University, Graduate School of Business and Economics (GSBE).
    • Handle: RePEc:unm:umagsb:2015010
    DOI: 10.26481/umagsb.2015010
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    References listed on IDEAS

    as
    1. Korthals, R.A., 2012. "Selection and tracking in secondary education: a cross country analysis of student performance and educational opportunities," ROA Research Memorandum 014, Maastricht University, Research Centre for Education and the Labour Market (ROA).
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    4. Korthals, R.A., 2012. "Selection and tracking in secondary education: a cross country analysis of student performance and educational opportunities," ROA Research Memorandum 14, Maastricht University, Research Centre for Education and the Labour Market (ROA).
    5. Sandra E. Black & Paul J. Devereux & Kjell G. Salvanes, 2005. "Why the Apple Doesn't Fall Far: Understanding Intergenerational Transmission of Human Capital," American Economic Review, American Economic Association, vol. 95(1), pages 437-449, March.
    6. 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.
    7. Gabriela Schütz & Heinrich W. Ursprung & Ludger Wößmann, 2008. "Education Policy and Equality of Opportunity," Kyklos, Wiley Blackwell, vol. 61(2), pages 279-308, May.
    8. 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.
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    JEL classification:

    • I20 - Health, Education, and Welfare - - Education - - - General
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • I24 - Health, Education, and Welfare - - Education - - - Education and Inequality

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