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Schulleistungen von Mädchen und Jungen. Gleichberechtigung als Bildungsmotor?


  • Florian Birkenfeld

    () (Chair for Economic Policy, University of Passau)


Diese Arbeit untersucht Unterschiede in den Schulleistungen zwischen Jungen und Maedchen sowie moegliche Ursachen, die sich aus Charakteristika der Eltern und institutionellen Rahmenbedingungen ergeben. Hierzu werden die Daten der Schulleistungsstudie PISA 2000 mit einer Drei-Ebenenanalyse untersucht. Dabei wird auf den Global Gender Gap Index des World Economic Forum als Mass fuer Gleichberechtigung zurueckgegriffen. Die Bildung der Eltern hat eine deutliche Wirkung auf die Schulleistungen der Kinder. Das Abitur der Muetter ist fuer Toechter wichtiger als das der Vaeter, welches wiederum fuer die Soehne wichtiger ist. Gleichzeitig unterliegt der Einfluss des Vaters einer groesseren Varianz zwischen den 37 Staaten. Groessere Anstrengungen zur Gleichberechtigung von Frauen koennen durchaus ein Schluessel fuer zukuenftigen Bildungserfolg sein. Dies gilt insbesondere fuer die Laender, die bei PISA 2000 speziell beim Leseverstaendnis unterdurchschnittlich abgeschnitten hatten.

Suggested Citation

  • Florian Birkenfeld, 2008. "Schulleistungen von Mädchen und Jungen. Gleichberechtigung als Bildungsmotor?," Economics of Education Working Paper Series 0019, University of Zurich, Department of Business Administration (IBW).
  • Handle: RePEc:iso:educat:0019

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    References listed on IDEAS

    1. Thomas Fuchs & Ludger Wößmann, 2007. "What accounts for international differences in student performance? A re-examination using PISA data," Empirical Economics, Springer, vol. 32(2), pages 433-464, May.
    2. Jere R. Behrman & Mark R. Rosenzweig, 2002. "Does Increasing Women's Schooling Raise the Schooling of the Next Generation?," American Economic Review, American Economic Association, vol. 92(1), pages 323-334, March.
    3. 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.
    4. G. Kreft & E. Leeuw, 1988. "The See-Saw Effect: a multilevel problem?," Quality & Quantity: International Journal of Methodology, Springer, vol. 22(2), pages 127-137, June.
    5. Petra E. Todd & Kenneth I. Wolpin, 2003. "On The Specification and Estimation of The Production Function for Cognitive Achievement," Economic Journal, Royal Economic Society, vol. 113(485), pages 3-33, February.
    6. Hanushek, Eric A, 1986. "The Economics of Schooling: Production and Efficiency in Public Schools," Journal of Economic Literature, American Economic Association, vol. 24(3), pages 1141-1177, September.
    7. Wolter Stefan C. & Weber Bernhard A., 1999. "On the Measurement of Private Rates of Return to Education / Ein Ansatz zur Messung privater Bildungsrenditen," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 218(5-6), pages 605-618, October.
    8. Robert J. Barro, 2001. "Human Capital and Growth," American Economic Review, American Economic Association, vol. 91(2), pages 12-17, May.
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    Cited by:

    1. Birkenfeld, Florian, 2008. "Kleine Klassen und gute Luft: Warum sind die Grundschulen auf dem Land besser?," Passauer Diskussionspapiere, Volkswirtschaftliche Reihe V-56-08, University of Passau, Faculty of Business and Economics.

    More about this item


    Schulleistung; Familie; Gleichberechtigung; Mehrebenenanalyse;

    JEL classification:

    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • I28 - Health, Education, and Welfare - - Education - - - Government Policy
    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination

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