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The effects of tuition fees on the decision for higher education: evidence from a german policy experiment

Author

Listed:
  • Hans Dietrich

    (Institute for Employment Research (IAB))

  • Hans-Dieter Gerner

    (Institute for Employment Research (IAB))

Abstract

Applying difference-in-differences models on representative German survey data empirical evidence is given that the introduction of tuition fees in some German States reduced the propensity of high school graduates to enroll at a university and favored the vocational training option. The empirical determination of the effects relies on the fact that only some States introduced tuition fees.

Suggested Citation

  • Hans Dietrich & Hans-Dieter Gerner, 2012. "The effects of tuition fees on the decision for higher education: evidence from a german policy experiment," Economics Bulletin, AccessEcon, vol. 32(3), pages 2407-2413.
  • Handle: RePEc:ebl:ecbull:eb-12-00457
    as

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    File URL: http://www.accessecon.com/Pubs/EB/2012/Volume32/EB-12-V32-I3-P233.pdf
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    References listed on IDEAS

    as
    1. Antoni, Manfred & Drasch, Katrin & Kleinert, Corinna & Matthes, Britta & Ruland, Michael & Trahms, Annette, 2011. "Working and learning in a changing world : Part I: Overview of the study - March 2011 (Second, updated version)," FDZ Methodenreport 201005_en, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    2. Dwenger, Nadja & Storck, Johanna & Wrohlich, Katharina, 2012. "Do tuition fees affect the mobility of university applicants? Evidence from a natural experiment," Economics of Education Review, Elsevier, vol. 31(1), pages 155-167.
    3. Marianne Bertrand & Esther Duflo & Sendhil Mullainathan, 2004. "How Much Should We Trust Differences-In-Differences Estimates?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 119(1), pages 249-275.
    4. repec:iab:iabfme:201005(en is not listed on IDEAS
    5. Ai, Chunrong & Norton, Edward C., 2003. "Interaction terms in logit and probit models," Economics Letters, Elsevier, vol. 80(1), pages 123-129, July.
    6. Puhani, Patrick A., 2012. "The treatment effect, the cross difference, and the interaction term in nonlinear “difference-in-differences” models," Economics Letters, Elsevier, vol. 115(1), pages 85-87.
    7. Moulton, Brent R, 1990. "An Illustration of a Pitfall in Estimating the Effects of Aggregate Variables on Micro Unit," The Review of Economics and Statistics, MIT Press, vol. 72(2), pages 334-338, May.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Bruckmeier, Kerstin & Wigger, Berthold U., 2014. "The effects of tuition fees on transition from high school to university in Germany," Economics of Education Review, Elsevier, vol. 41(C), pages 14-23.
    2. Björn Kauder & Niklas Potrafke, 2013. "Government Ideology and Tuition Fee Policy: Evidence from the German States," CESifo Economic Studies, CESifo Group, vol. 59(4), pages 628-649, December.
    3. Bruckmeier Kerstin & Fischer Georg-Benedikt & Wigger Berthold U., 2015. "Studiengebühren in Deutschland: Lehren aus einem gescheiterten Experiment," Perspektiven der Wirtschaftspolitik, De Gruyter, vol. 16(3), pages 289-301, October.
    4. Wojtek Tomaszewski & Hans Dietrich & Golo Henseke & Ning Xiang & Ingrid Schoon, 2025. "Socio‐Economic and Gender Differences in Post‐Secondary Pathways in the UK, Germany, and Australia," Social Inclusion, Cogitatio Press, vol. 13.
    5. Dietrich, Hans, 2015. "Jugendarbeitslosigkeit aus einer europäischen Perspektive : theoretische Ansätze, empirische Konzepte und ausgewählte Befunde," IAB-Discussion Paper 201524, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    6. Berens, Johannes & Henao, Leandro & Schneider, Kerstin, 2024. "Tuition fees and academic (in)activity in higher education: How did students adjust to the abolition of tuition fees in Germany?," Ruhr Economic Papers 1074, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.

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    Keywords

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    JEL classification:

    • I2 - Health, Education, and Welfare - - Education
    • H2 - Public Economics - - Taxation, Subsidies, and Revenue

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