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The effects of default choice on student loan borrowing: Experimental evidence from a public research university

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  • Kramer, Dennis A.
  • Lamb, Christina
  • Page, Lindsay C.

Abstract

We explore the role of defaults and choice architecture on student loan decision-making, experimentally testing the impact pre-populating either decline or accept decisions compared to an active choice, no pre-population, decision. We demonstrate that the default choice presented does influence student loan borrowing decisions. Specifically, compared to active choice, students presented within a pre-populated decline decision (opt-in) were almost five percent less likely to accept all packaged loans and borrowed between 4.6% and 4.8% less in federal student loans. The reductions in borrowing appears to be concentrated within unsubsidized loans with those assigned to the opt-in condition borrowing 8.3% less in unsubsidized student loans. These changes in borrowing did not induce substitution towards private or Parent PLUS loans nor did they negatively impact enrollment, academic performance, or on-campus work outcomes in the same academic year.

Suggested Citation

  • Kramer, Dennis A. & Lamb, Christina & Page, Lindsay C., 2021. "The effects of default choice on student loan borrowing: Experimental evidence from a public research university," Journal of Economic Behavior & Organization, Elsevier, vol. 189(C), pages 470-489.
  • Handle: RePEc:eee:jeborg:v:189:y:2021:i:c:p:470-489
    DOI: 10.1016/j.jebo.2021.04.023
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    1. David Tannenbaum & Craig R. Fox & Todd Rogers, 2017. "On the misplaced politics of behavioural policy interventions," Nature Human Behaviour, Nature, vol. 1(7), pages 1-7, July.
    2. Moretti, Enrico, 2004. "Estimating the social return to higher education: evidence from longitudinal and repeated cross-sectional data," Journal of Econometrics, Elsevier, vol. 121(1-2), pages 175-212.
    3. Bergman, Peter & Denning, Jeffrey T. & Manoli, Dayanand, 2017. "Broken Tax Breaks? Evidence from a Tax Credit Information Experiment with 1,000,000 Students," IZA Discussion Papers 10997, Institute of Labor Economics (IZA).
    4. Susan M. Dynarski & Judith E. Scott-Clayton, 2008. "Complexity and Targeting in Federal Student Aid: A Quantitative Analysis," NBER Chapters, in: Tax Policy and the Economy, Volume 22, pages 109-150, National Bureau of Economic Research, Inc.
    5. Castleman, Benjamin L. & Page, Lindsay C., 2015. "Summer nudging: Can personalized text messages and peer mentor outreach increase college going among low-income high school graduates?," Journal of Economic Behavior & Organization, Elsevier, vol. 115(C), pages 144-160.
    6. Marx, Benjamin M. & Turner, Lesley J., 2020. "Paralysis by analysis? Effects of information on student loan take-up," Economics of Education Review, Elsevier, vol. 77(C).
    7. Benjamin L. Castleman & Lindsay C. Page, 2014. "A Trickle or a Torrent? Understanding the Extent of Summer “Melt” Among College-Intending High School Graduates," Social Science Quarterly, Southwestern Social Science Association, vol. 95(1), pages 202-220, March.
    8. Benjamin M. Marx & Lesley J. Turner, 2019. "Student Loan Nudges: Experimental Evidence on Borrowing and Educational Attainment," American Economic Journal: Economic Policy, American Economic Association, vol. 11(2), pages 108-141, May.
    9. Brigitte C. Madrian & Dennis F. Shea, 2001. "The Power of Suggestion: Inertia in 401(k) Participation and Savings Behavior," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 116(4), pages 1149-1187.
    10. 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.
    11. Daniel Kahneman & Amos Tversky, 2013. "Prospect Theory: An Analysis of Decision Under Risk," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 6, pages 99-127, World Scientific Publishing Co. Pte. Ltd..
    12. Benjamin L. Castleman & Lindsay C. Page, 2016. "Freshman Year Financial Aid Nudges: An Experiment to Increase FAFSA Renewal and College Persistence," Journal of Human Resources, University of Wisconsin Press, vol. 51(2), pages 389-415.
    13. Rajeev Darolia, 2016. "An Experiment on Information Use in College Student Loan Decisions," Working Papers 16-18, Federal Reserve Bank of Philadelphia.
    14. Rothstein, Jesse & Rouse, Cecilia Elena, 2011. "Constrained after college: Student loans and early-career occupational choices," Journal of Public Economics, Elsevier, vol. 95(1-2), pages 149-163, February.
    15. Jachimowicz, Jon M. & Duncan, Shannon & Weber, Elke U. & Johnson, Eric J., 2019. "When and why defaults influence decisions: a meta-analysis of default effects," Behavioural Public Policy, Cambridge University Press, vol. 3(2), pages 159-186, November.
    16. Zhan, Min & Xiang, Xiaoling & Elliott, William, 2016. "Education loans and wealth building among young adults," Children and Youth Services Review, Elsevier, vol. 66(C), pages 67-75.
    17. Susan M. Dynarski, 2015. "An Economist's Perspective on Student Loans in the United States," CESifo Working Paper Series 5579, CESifo.
    18. Guo Wenge & Romano Joseph, 2007. "A Generalized Sidak-Holm Procedure and Control of Generalized Error Rates under Independence," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 6(1), pages 1-35, January.
    19. 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.
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    Cited by:

    1. Behlen, Lars & Himmler, Oliver & Jaeckle, Robert, 2022. "Can defaults change behavior when post-intervention effort is required? Evidence from education," MPRA Paper 112962, University Library of Munich, Germany.

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    More about this item

    Keywords

    Financial aid; Student loans; Experimental design;
    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
    • C93 - Mathematical and Quantitative Methods - - Design of Experiments - - - Field Experiments
    • G40 - Financial Economics - - Behavioral Finance - - - General

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