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Family Background or the Characteristics of Children: What Determines High School Success in Germany?

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Listed:
  • Benjamin Balsmeier
  • Heiko Peters

Abstract

It is becoming more and more important to be highly skilled in order to integrate successfully into the labor market. Highly skilled workers receive higher wages and face a lower risk of becoming unemployed, compared to poorly qualified workers. We analyze the determinants of successful high school graduation in Germany. As our main database, we use the youth file of GSOEP for the period extending from 2000 to 2007. Because the decision as to which secondary school track to attend - general school (Hauptschule), intermediate school (Realschule) or high school (Gymnasium) - is made after the end of elementary school (Grundschule) at age of ten, parents are responsible for this decision. Therefore, the characteristics of the child as well as those of its parents are the main determinants of educational attainment. We also include the characteristics of grandparents in our regression framework, something which has not been done in any previous study so far. In order to disentangle the determinants of successful graduation at high school, we use the Cox proportional hazard model. We find markedly different determinants of successful graduation for males and females. Furthermore, the results indicate a strong linkage between mothers and daughters, as well as between fathers and sons.

Suggested Citation

  • Benjamin Balsmeier & Heiko Peters, 2008. "Family Background or the Characteristics of Children: What Determines High School Success in Germany?," SOEPpapers on Multidisciplinary Panel Data Research 138, DIW Berlin, The German Socio-Economic Panel (SOEP).
  • Handle: RePEc:diw:diwsop:diw_sp138
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    File URL: http://www.diw.de/documents/publikationen/73/diw_01.c.89979.de/diw_sp0138.pdf
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    References listed on IDEAS

    as
    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. John F. Ermisch & Marco Francesconi, 2001. "Family structure and children's achievements," Journal of Population Economics, Springer;European Society for Population Economics, vol. 14(2), pages 249-270.
    3. Flossmann Anton L. & Pohlmeier Winfried, 2006. "Causal Returns to Education: A Survey on Empirical Evidence for Germany," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 226(1), pages 6-23, February.
    4. Maani, Sholeh A. & Kalb, Guyonne, 2007. "Academic performance, childhood economic resources, and the choice to leave school at age 16," Economics of Education Review, Elsevier, vol. 26(3), pages 361-374, June.
    5. Joachim R. Frick & Olaf Groh-Samberg & Henning Lohmann, 2008. "Biography and Life History Data in the German Socio Economic Panel: (Up to Wave X, 2007)," Data Documentation 36, DIW Berlin, German Institute for Economic Research.
    6. Christian Dustmann, 2004. "Parental background, secondary school track choice, and wages," Oxford Economic Papers, Oxford University Press, vol. 56(2), pages 209-230, April.
    7. Christian Dustmann & Arthur Soest, 2007. "Part-time work, school success and school leaving," Empirical Economics, Springer, vol. 32(2), pages 277-299, May.
    8. Christian Dustmann & Johannes Ludsteck & Uta Schönberg, 2009. "Revisiting the German Wage Structure," The Quarterly Journal of Economics, Oxford University Press, vol. 124(2), pages 843-881.
    9. Henry, Gary T. & Rickman, Dana K., 2007. "Do peers influence children's skill development in preschool?," Economics of Education Review, Elsevier, vol. 26(1), pages 100-112, February.
    10. Feinstein, Leon & Symons, James, 1999. "Attainment in Secondary School," Oxford Economic Papers, Oxford University Press, vol. 51(2), pages 300-321, April.
    11. Gert G. Wagner & Joachim R. Frick & Jürgen Schupp, 2007. "The German Socio-Economic Panel Study (SOEP) – Scope, Evolution and Enhancements," Schmollers Jahrbuch : Journal of Applied Social Science Studies / Zeitschrift für Wirtschafts- und Sozialwissenschaften, Duncker & Humblot, Berlin, vol. 127(1), pages 139-169.
    12. Anh Ngoc Nguyen & Jim Taylor, 2003. "Post-high school choices: New evidence from a multinomial logit model," Journal of Population Economics, Springer;European Society for Population Economics, vol. 16(2), pages 287-306, May.
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    More about this item

    Keywords

    high school graduation; Cox proportional hazard model; Germany;

    JEL classification:

    • A21 - General Economics and Teaching - - Economic Education and Teaching of Economics - - - Pre-college
    • C41 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Duration Analysis; Optimal Timing Strategies
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education

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