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Studierbereitschaft und Wahl von ingenieurwissenschaftlichen Studienfächern: Eine empirische Untersuchung sächsischer Abiturienten der Abschlussjahrgänge 1996, 1998 und 2000

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  • Becker, Rolf

Abstract

Ausgangspunkt der vorliegenden empirischen Untersuchung ist zum einen die Frage, warum nach einem rückläufigen Trend bis 1998 die Studierneigung sächsischer Abiturienten wieder angestiegen ist und zum anderen die Frage, warum sich seit 1996 wieder mehr sächsische Abiturienten für das Ingenieurstudium interessieren. Diese Entwicklung wird anhand der Humankapital- und Werterwartungstheorie zu erklären versucht. Im Vordergrund stehen dabei die Mechanismen, die letztlich zur Entscheidung für oder gegen ein Studium oder ein bestimmtes Studienfach führen. Demnach hängt die Studierneigung eines Individuums vom antizipierten Nutzen eines Studiums, von den erwarteten Kosten und der subjektiv eingeschätzten Wahrscheinlichkeit, aufgrund eigener schulischer Leistungen erfolgreich studieren zu können, ab. Jedoch tendieren Individuen aus niedrigen Sozialschichten im Unterschied zu Angehörigen höherer Sozialschichten nach Erwerb der Studienberechtigung dazu, den Nutzen von höherer Bildung zu unterschätzen und gleichzeitig die Kosten für Investitionen in höhere Bildung zu überschätzen. Daraus wird die These abgeleitet, dass Veränderungen in der Studierneigung und der Studienfachwahl von herkunfts- und geschlechtsspezifischen Verschiebungen in der Kosten-Nutzen-Relation eines Studiums abhängen.

Suggested Citation

  • Becker, Rolf, 2000. "Studierbereitschaft und Wahl von ingenieurwissenschaftlichen Studienfächern: Eine empirische Untersuchung sächsischer Abiturienten der Abschlussjahrgänge 1996, 1998 und 2000," Discussion Papers, Research Unit: Labor Market Policy and Employment FS I 00-210, WZB Berlin Social Science Center.
    • Handle: RePEc:zbw:wzblpe:fsi00210
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    References listed on IDEAS

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    1. Sims,Christopher A. (ed.), 1994. "Advances in Econometrics," Cambridge Books, Cambridge University Press, number 9780521444606.
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    4. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 31(3), pages 129-137.
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