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Recommendation, class repeating, and children's ability: German school tracking experiences

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  • Ochsen, Carsten
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    Abstract

    While the 2006 Progress in International Reading Literacy Study assesses the average ability of German primary school students as being higher than average, the Programme for International Student Assessment studies (2000, 2003, 2006) ranks German secondary school students at a considerably lower level. Using data from the German Socio-Economic Panel, this paper examines whether a teacher's recommendation for the secondary school track and class repeating are causes for these ability differences. According to the estimates, failures as a result of teachers'recommendations given at the end of primary school are an important reason for the differences between the two types of studies. Being required to repeat a school class amplifies the inefficient management of children's abilities. In addition, we find evidence that regional economic performance at the time the recommendation is made affects the decision for the tracking path. --

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    Bibliographic Info

    Paper provided by University of Rostock, Institute of Economics in its series Thuenen-Series of Applied Economic Theory with number 96.

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    Date of creation: 2008
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    Handle: RePEc:zbw:roswps:96

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    Keywords: education attainment; school system; educational tracking;

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    1. Daniele Checchi & Luca Flabbi, 2013. "Intergenerational Mobility and Schooling Decisions in Germany and Italy: The Impact of Secondary School Tracks," Rivista di Politica Economica, SIPI Spa, issue 3, pages 7-57, July-Sept.
    2. Alan Krueger, 2000. "Economic Considerations and Class Size," Working Papers 826, Princeton University, Department of Economics, Industrial Relations Section..
    3. Buhmann, Brigitte, et al, 1988. "Equivalence Scales, Well-Being, Inequality, and Poverty: Sensitivity Estimates across Ten Countries Using the Luxembourg Income Study (LIS) Database," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 34(2), pages 115-42, June.
    4. Plug, Erik & Vijverberg, Wim, 2000. "Schooling, Family Background, and Adoption: Is It Nature of Is It Nurture?," Discussion Papers 736, The Research Institute of the Finnish Economy.
    5. Brunello, Giorgio & Giannini, Massimo & Ariga, Kenn, 2004. "The Optimal Timing of School Tracking," IZA Discussion Papers 995, Institute for the Study of Labor (IZA).
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    7. Christian Dustmann, 2004. "Parental background, secondary school track choice, and wages," Oxford Economic Papers, Oxford University Press, vol. 56(2), pages 209-230, April.
    8. David Card & Alan B. Krueger, 1996. "School Resources and Student Outcomes: An Overview of the Literature and New Evidence from North and South Carolina," Journal of Economic Perspectives, American Economic Association, vol. 10(4), pages 31-50, Fall.
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    12. Christopher J. Ruhm, 2004. "Parental Employment and Child Cognitive Development," Journal of Human Resources, University of Wisconsin Press, vol. 39(1).
    13. Betts, Julian R, 1995. "Does School Quality Matter? Evidence from the National Longitudinal Survey of Youth," The Review of Economics and Statistics, MIT Press, vol. 77(2), pages 231-50, May.
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    15. Becker, Gary S & Lewis, H Gregg, 1973. "On the Interaction between the Quantity and Quality of Children," Journal of Political Economy, University of Chicago Press, vol. 81(2), pages S279-88, Part II, .
    16. Caroline M. Hoxby, 2000. "The Effects Of Class Size On Student Achievement: New Evidence From Population Variation," The Quarterly Journal of Economics, MIT Press, vol. 115(4), pages 1239-1285, November.
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    18. Stephen V. Cameron & James J. Heckman, 2001. "The Dynamics of Educational Attainment for Black, Hispanic, and White Males," Journal of Political Economy, University of Chicago Press, vol. 109(3), pages 455-499, June.
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