IDEAS home Printed from https://ideas.repec.org/p/iza/izadps/dp12053.html
   My bibliography  Save this paper

University Tuition Fees and High School Students' Educational Intentions

Author

Listed:
  • Bahrs, Michael

    (University of Hamburg)

  • Siedler, Thomas

    (University of Potsdam)

Abstract

This paper studies whether higher education tuition fees influence the intention to acquire a university degree among high school students and, if so, whether the effect on individuals from low-income households is particularly strong. We analyze the introduction and subsequent elimination of university tuition fees in Germany across states and over time in a difference-in-differences setting. Using data from the Youth Questionnaire of the German Socio-Economic Panel (SOEP), we find a large negative effect of tuition fees on the intention of 17-years-olds to acquire a higher educational degree, with a decrease of around eight percentage points (ten percent). Individuals from low-income households mainly drive the results. This study documents that the introduction of relatively low university tuition fees of 1,000 euros per academic year can considerably lower young people's educational intentions and choices.

Suggested Citation

  • Bahrs, Michael & Siedler, Thomas, 2018. "University Tuition Fees and High School Students' Educational Intentions," IZA Discussion Papers 12053, Institute of Labor Economics (IZA).
  • Handle: RePEc:iza:izadps:dp12053
    as

    Download full text from publisher

    File URL: https://docs.iza.org/dp12053.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Brant Abbott & Giovanni Gallipoli & Costas Meghir & Giovanni L. Violante, 2013. "Education Policy�and Intergenerational Transfers in Equilibrium," Cowles Foundation Discussion Papers 1887, Cowles Foundation for Research in Economics, Yale University.
    2. Marco Francesconi & Stephen Jenkins & Thomas Siedler, 2010. "Childhood family structure and schooling outcomes: evidence for Germany," Journal of Population Economics, Springer;European Society for Population Economics, vol. 23(3), pages 1073-1103, June.
    3. Lance Lochner & Alexander Monge-Naranjo, 2012. "Credit Constraints in Education," Annual Review of Economics, Annual Reviews, vol. 4(1), pages 225-256, July.
    4. Philip Oreopoulos & Ryan Dunn, 2013. "Information and College Access: Evidence from a Randomized Field Experiment," Scandinavian Journal of Economics, Wiley Blackwell, vol. 115(1), pages 3-26, January.
    5. Brant Abbott & Giovanni Gallipoli & Costas Meghir & Giovanni L. Violante, 2019. "Education Policy and Intergenerational Transfers in Equilibrium," Journal of Political Economy, University of Chicago Press, vol. 127(6), pages 2569-2624.
    6. Taryn Dinkelman & Claudia Martínez A., 2014. "Investing in Schooling In Chile: The Role of Information about Financial Aid for Higher Education," The Review of Economics and Statistics, MIT Press, vol. 96(2), pages 244-257, May.
    7. Hübner, Malte, 2012. "Do tuition fees affect enrollment behavior? Evidence from a ‘natural experiment’ in Germany," Economics of Education Review, Elsevier, vol. 31(6), pages 949-960.
    8. Stephen G. Donald & Kevin Lang, 2007. "Inference with Difference-in-Differences and Other Panel Data," The Review of Economics and Statistics, MIT Press, vol. 89(2), pages 221-233, May.
    9. Denny, Kevin, 2014. "The effect of abolishing university tuition costs: Evidence from Ireland," Labour Economics, Elsevier, vol. 26(C), pages 26-33.
    10. Michael B. Coelli, 2009. "Tuition fees and equality of university enrolment," Canadian Journal of Economics, Canadian Economics Association, vol. 42(3), pages 1072-1099, August.
    11. Dominique Goux & Marc Gurgand & Eric Maurin, 2017. "Adjusting Your Dreams? High School Plans and Dropout Behaviour," Economic Journal, Royal Economic Society, vol. 127(602), pages 1025-1046, June.
    12. Lorraine Dearden & Leslie McGranahan & Barbara Sianesi, 2004. "The Role of Credit Constraints in Educational Choices: Evidence from NCDS and BCS70," CEE Discussion Papers 0048, Centre for the Economics of Education, LSE.
    13. Caroline M. Hoxby, 2004. "College Choices: The Economics of Where to Go, When to Go, and How to Pay For It," NBER Books, National Bureau of Economic Research, Inc, number hoxb04-1, March.
    14. Belfield, Chris & Boneva, Teodora & Rauh, Christopher & Shaw, Jonathan, 2016. "Money or Fun? Why Students Want to Pursue Further Education," IZA Discussion Papers 10136, Institute of Labor Economics (IZA).
    15. Floro Ernesto Caroleo & Francesco Pastore, 2012. "Overeducation at a glance. Determinants and wage effects of the educational mismatch, looking at the AlmaLaurea data," Discussion Papers 18_2012, CRISEI, University of Naples "Parthenope", Italy.
    16. Chapman, Bruce & Ryan, Chris, 2005. "The access implications of income-contingent charges for higher education: lessons from Australia," Economics of Education Review, Elsevier, vol. 24(5), pages 491-512, October.
    17. Todd Stinebrickner & Ralph Stinebrickner, 2012. "Learning about Academic Ability and the College Dropout Decision," Journal of Labor Economics, University of Chicago Press, vol. 30(4), pages 707-748.
    18. Tamm, Marcus, 2008. "Does money buy higher schooling?: Evidence from secondary school track choice in Germany," Economics of Education Review, Elsevier, vol. 27(5), pages 536-545, October.
    19. Christopher Avery & Thomas J. Kane, 2004. "Student Perceptions of College Opportunities. The Boston COACH Program," NBER Chapters, in: College Choices: The Economics of Where to Go, When to Go, and How to Pay For It, pages 355-394, National Bureau of Economic Research, Inc.
    20. Neill, Christine, 2009. "Tuition fees and the demand for university places," Economics of Education Review, Elsevier, vol. 28(5), pages 561-570, October.
    21. Kane, Thomas J, 1994. "College Entry by Blacks since 1970: The Role of College Costs, Family Background, and the Returns to Education," Journal of Political Economy, University of Chicago Press, vol. 102(5), pages 878-911, October.
    22. McPherson, Michael S & Schapiro, Morton Owen, 1991. "Does Student Aid Affect College Enrollment? New Evidence on a Persistent Controversy," American Economic Review, American Economic Association, vol. 81(1), pages 309-318, March.
    23. Teodora Boneva & Christopher Rauh, 2018. "Parental Beliefs about Returns to Educational Investments—The Later the Better?," Journal of the European Economic Association, European Economic Association, vol. 16(6), pages 1669-1711.
    24. Caroline Minter Hoxby, 2004. "Introduction to "College Choices: The Economics of Where to Go, When to Go, and How to Pay For It"," NBER Chapters, in: College Choices: The Economics of Where to Go, When to Go, and How to Pay For It, pages 1-12, National Bureau of Economic Research, Inc.
    25. Spiess, C. Katharina & Wrohlich, Katharina, 2010. "Does distance determine who attends a university in Germany?," Economics of Education Review, Elsevier, vol. 29(3), pages 470-479, June.
    26. Stephen V. Cameron & Christopher Taber, 2004. "Estimation of Educational Borrowing Constraints Using Returns to Schooling," Journal of Political Economy, University of Chicago Press, vol. 112(1), pages 132-182, February.
    27. Glocker, Daniela, 2011. "The effect of student aid on the duration of study," Economics of Education Review, Elsevier, vol. 30(1), pages 177-190, February.
    28. Björn Alecke & Timo Mitze, 2012. "Studiengebühren und das Wanderungsverhalten von Studienanfängern: eine panel-ökonometrische Wirkungsanalyse," Perspektiven der Wirtschaftspolitik, Verein für Socialpolitik, vol. 13(4), pages 357-386, November.
    29. Kerstin Bruckmeier & Georg-Benedikt Fischer & Berthold U. Wigger, 2013. "The willingness to pay for higher education: does the type of fee matter?," Applied Economics Letters, Taylor & Francis Journals, vol. 20(13), pages 1279-1282, September.
    30. Keane, Michael P & Wolpin, Kenneth I, 2001. "The Effect of Parental Transfers and Borrowing Constraints on Educational Attainment," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 42(4), pages 1051-1103, November.
    31. Eric P. Bettinger & Bridget Terry Long & Philip Oreopoulos & Lisa Sanbonmatsu, 2012. "The Role of Application Assistance and Information in College Decisions: Results from the H&R Block Fafsa Experiment," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 127(3), pages 1205-1242.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. George Abuchi Agwu & Oussama Ben Atta, 2021. "University proximity at teenage years and educational attainment," Working papers of Transitions Energétiques et Environnementales (TREE) hal-03492963, HAL.
    2. George Abuchi Agwu & Oussama Ben Atta, 2021. "University proximity at teenage years and educational attainment," Working Papers hal-03492963, HAL.
    3. de Gendre, Alexandra & Kabátek, Jan, 2021. "From Subsidies to Loans: The Effects of a National Student Finance Reform on the Choices of Secondary School Students," IZA Discussion Papers 14686, Institute of Labor Economics (IZA).
    4. Bietenbeck, Jan & Leibing, Andreas & Marcus, Jan & Weinhardt, Felix, 2023. "Tuition fees and educational attainment," European Economic Review, Elsevier, vol. 154(C).
    5. Oussama Ben Atta, 2022. "University proximity at teenage years and educational attainment," French Stata Users' Group Meetings 2022 02, Stata Users Group.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Bleemer, Zachary & Zafar, Basit, 2018. "Intended college attendance: Evidence from an experiment on college returns and costs," Journal of Public Economics, Elsevier, vol. 157(C), pages 184-211.
    2. French, Robert & Oreopoulos, Philip, 2017. "Behavioral barriers transitioning to college," Labour Economics, Elsevier, vol. 47(C), pages 48-63.
    3. Sarena Goodman, 2013. "Learning from the test: raising selective college enrollment by providing information," Finance and Economics Discussion Series 2013-69, Board of Governors of the Federal Reserve System (U.S.).
    4. Philipp Lergetporer & Katharina Werner & Ludger Woessmann, 2021. "Does Ignorance of Economic Returns and Costs Explain the Educational Aspiration Gap? Representative Evidence from Adults and Adolescents," Economica, London School of Economics and Political Science, vol. 88(351), pages 624-670, July.
    5. Damgaard, Mette Trier & Nielsen, Helena Skyt, 2018. "Nudging in education," Economics of Education Review, Elsevier, vol. 64(C), pages 313-342.
    6. Hassani-Nezhad, Lena & Anderberg, Dan & Chevalier, Arnaud & Lührmann, Melanie & Pavan, Ronni, 2021. "Higher education financing and the educational aspirations of teenagers and their parents," Economics of Education Review, Elsevier, vol. 85(C).
    7. Bird, Kelli A. & Castleman, Benjamin L. & Denning, Jeffrey T. & Goodman, Joshua & Lamberton, Cait & Rosinger, Kelly Ochs, 2021. "Nudging at scale: Experimental evidence from FAFSA completion campaigns," Journal of Economic Behavior & Organization, Elsevier, vol. 183(C), pages 105-128.
    8. Brian Holzman & Daniel Klasik & Rachel Baker, 2020. "Gaps in the College Application Gauntlet," Research in Higher Education, Springer;Association for Institutional Research, vol. 61(7), pages 795-822, November.
    9. Christian Belzil & Jörgen Hansen, 2020. "The evolution of the US family income–schooling relationship and educational selectivity," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(7), pages 841-859, November.
    10. Katharina Werner, 2019. "The Role of Information for Public Preferences on Education – Evidence from Representative Survey Experiments," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 82.
    11. Lindsay C. Page & Judith Scott-Clayton, 2015. "Improving College Access in the United States: Barriers and Policy Responses," NBER Working Papers 21781, National Bureau of Economic Research, Inc.
    12. Aaron Hedlund & Grey Gordon, 2017. "Accounting for Tuition Increases at U.S. Colleges," 2017 Meeting Papers 1550, Society for Economic Dynamics.
    13. Grey Gordon & Aaron Hedlund, 2017. "Accounting for the Rise in College Tuition," NBER Chapters, in: Education, Skills, and Technical Change: Implications for Future US GDP Growth, pages 357-394, National Bureau of Economic Research, Inc.
    14. Flannery, Darragh & O’Donoghue, Cathal, 2013. "The demand for higher education: A static structural approach accounting for individual heterogeneity and nesting patterns," Economics of Education Review, Elsevier, vol. 34(C), pages 243-257.
    15. Frauke H. Peter & C. Katharina Spieß & Vaishali Zambre, 2018. "Informing Students about College: An Efficient Way to Decrease the Socio-Economic Gap in Enrollment: Evidence from a Randomized Field Experiment," Discussion Papers of DIW Berlin 1770, DIW Berlin, German Institute for Economic Research.
    16. Lance Lochner & Alexander Monge-Naranjo, 2014. "Student Loans and Repayment: Theory, Evidence and Policy," Working Papers 2014-40, Federal Reserve Bank of St. Louis.
    17. Page, Lindsay C. & Scott-Clayton, Judith, 2016. "Improving college access in the United States: Barriers and policy responses," Economics of Education Review, Elsevier, vol. 51(C), pages 4-22.
    18. Rong Hai & James Heckman, 2017. "Inequality in Human Capital and Endogenous Credit Constraints," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 25, pages 4-36, April.
    19. Philip Oreopoulos & Ryan Dunn, 2013. "Information and College Access: Evidence from a Randomized Field Experiment," Scandinavian Journal of Economics, Wiley Blackwell, vol. 115(1), pages 3-26, January.
    20. Ralf Minor, 2023. "How tuition fees affected student enrollment at higher education institutions: the aftermath of a German quasi-experiment," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 57(1), pages 1-19, December.

    More about this item

    Keywords

    tuition fees; educational inequality; difference-in-differences;
    All these keywords.

    JEL classification:

    • I22 - Health, Education, and Welfare - - Education - - - Educational Finance; Financial Aid
    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions
    • I24 - Health, Education, and Welfare - - Education - - - Education and Inequality

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:iza:izadps:dp12053. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Holger Hinte (email available below). General contact details of provider: https://edirc.repec.org/data/izaaade.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.