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Framing effects, earnings expectations, and the design of student loan repayment schemes

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  • Abraham, Katharine G.
  • Filiz-Ozbay, Emel
  • Ozbay, Erkut Y.
  • Turner, Lesley J.

Abstract

Income-driven student loan repayment (IDR) plans provide protection against unaffordable loan payments and default by linking loan payments to borrower's earnings. Despite the advantages IDR would offer to many borrowers, take-up remains low. We use a survey experiment investigate how framing affects University of Maryland undergraduates' take-up of IDR in a set of hypothetical scenarios. Students are significantly more likely to choose IDR when the insurance aspects of IDR are emphasized and significantly less likely to do so when costs are emphasized. IDR framing interacts with expected labor market outcomes. Emphasizing the insurance aspects of IDR has larger effects on students who anticipate a higher probability of nonemployment and/or low earnings at graduation. In contrast, when costs are emphasized, the choice of IRDR is uncorrelated with students' expected labor market outcomes. Simulation results suggest that a simple change in the framing of IDR could generate substantial reductions in loan defaults with only small decreases in long-run federal revenue.

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  • Abraham, Katharine G. & Filiz-Ozbay, Emel & Ozbay, Erkut Y. & Turner, Lesley J., 2020. "Framing effects, earnings expectations, and the design of student loan repayment schemes," Journal of Public Economics, Elsevier, vol. 183(C).
  • Handle: RePEc:eee:pubeco:v:183:y:2020:i:c:s0047272719301288
    DOI: 10.1016/j.jpubeco.2019.104067
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    as
    1. Keys, Benjamin J. & Wang, Jialan, 2019. "Minimum payments and debt paydown in consumer credit cards," Journal of Financial Economics, Elsevier, vol. 131(3), pages 528-548.
    2. Jeffrey R. Brown & Jeffrey R. Kling & Sendhil Mullainathan & Marian V. Wrobel, 2008. "Why Don’t People Insure Late-Life Consumption? A Framing Explanation of the Under-Annuitization Puzzle," American Economic Review, American Economic Association, vol. 98(2), pages 304-309, May.
    3. Lance Lochner & Alexander Monge-Naranjo, 2014. "Student Loans and Repayment: Theory, Evidence and Policy," Working Papers 2014-40, Federal Reserve Bank of St. Louis.
    4. Gregorio Caetano & Miguel Palacios & Harry A. Patrinos, 2019. "Measuring Aversion to Debt: An Experiment Among Student Loan Candidates," Journal of Family and Economic Issues, Springer, vol. 40(1), pages 117-131, March.
    5. Beshears, John & Choi, James J. & Laibson, David & Madrian, Brigitte C. & Zeldes, Stephen P., 2014. "What makes annuitization more appealing?," Journal of Public Economics, Elsevier, vol. 116(C), pages 2-16.
    6. Thomas Dohmen & Armin Falk & David Huffman & Uwe Sunde & Jürgen Schupp & Gert G. Wagner, 2011. "Individual Risk Attitudes: Measurement, Determinants, And Behavioral Consequences," Journal of the European Economic Association, European Economic Association, vol. 9(3), pages 522-550, June.
    7. Adam Looney & Constantine Yannelis, 2015. "A Crisis in Student Loans? How Changes in the Characteristics of Borrowers and in the Institutions They Attended Contributed to Rising Loan Defaults," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 46(2 (Fall)), pages 1-89.
    8. Cox, James C. & Kreisman, Daniel & Dynarski, Susan, 2020. "Designed to fail: Effects of the default option and information complexity on student loan repayment," Journal of Public Economics, Elsevier, vol. 192(C).
    9. Lusardi, Annamaria & Tufano, Peter, 2015. "Debt literacy, financial experiences, and overindebtedness," Journal of Pension Economics and Finance, Cambridge University Press, vol. 14(4), pages 332-368, October.
    10. Benjamin M. Marx & Lesley J. Turner, 2015. "Borrowing Trouble? Student Loans, the Cost of Borrowing, and Implications for the Effectiveness of Need-Based Grant Aid," NBER Working Papers 20850, National Bureau of Economic Research, Inc.
    11. Wenhua Di & Kelly D. Edmiston, 2017. "Student Loan Relief Programs: Implications for Borrowers and the Federal Government," The ANNALS of the American Academy of Political and Social Science, , vol. 671(1), pages 224-248, May.
    12. 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.
    13. Johnson, Eric J & Hershey, John & Meszaros, Jacqueline & Kunreuther, Howard, 1993. "Framing, Probability Distortions, and Insurance Decisions," Journal of Risk and Uncertainty, Springer, vol. 7(1), pages 35-51, August.
    14. Lochner, L. & Monge-Naranjo, A., 2016. "Student Loans and Repayment," Handbook of the Economics of Education,, Elsevier.
    15. Jeffrey R. Brown & Arie Kapteyn & Olivia S. Mitchell, 2016. "Framing And Claiming: How Information-Framing Affects Expected Social Security Claiming Behavior," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 83(1), pages 139-162, January.
    16. Brian C. Cadena & Benjamin J. Keys, 2013. "Can Self-Control Explain Avoiding Free Money? Evidence from Interest-Free Student Loans," The Review of Economics and Statistics, MIT Press, vol. 95(4), pages 1117-1129, October.
    17. Zachary Bleemer & Meta Brown & Wilbert Van der Klaauw & Basit Zafar, 2014. "What Americans (Don’t) Know about Student Loan Collections," Liberty Street Economics 20140605, Federal Reserve Bank of New York.
    18. Chapman, Bruce, 2006. "Income Contingent Loans for Higher Education: International Reforms," Handbook of the Economics of Education, in: Erik Hanushek & F. Welch (ed.), Handbook of the Economics of Education, edition 1, volume 2, chapter 25, pages 1435-1503, Elsevier.
    19. Matthew Wiswall & Basit Zafar, 2015. "Determinants of College Major Choice: Identification using an Information Experiment," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 82(2), pages 791-824.
    20. Stoddard, Christiana & Urban, Carly & Schmeiser, Maximilian, 2017. "Can targeted information affect academic performance and borrowing behavior for college students? Evidence from administrative data," Economics of Education Review, Elsevier, vol. 56(C), pages 95-109.
    21. Dynarski, Susan M. & Scott–Clayton, Judith E., 2006. "The Cost of Complexity in Federal Student Aid: Lessons From Optimal Tax Theory and Behavioral Economics," National Tax Journal, National Tax Association;National Tax Journal, vol. 59(2), pages 319-356, June.
    22. 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.
    23. Bruce Chapman & Andrew Leigh, 2009. "Do Very High Tax Rates Induce Bunching? Implications for the Design of Income Contingent Loan Schemes," The Economic Record, The Economic Society of Australia, vol. 85(270), pages 276-289, September.
    24. Findeisen, Sebastian & Sachs, Dominik, 2016. "Education and optimal dynamic taxation: The role of income-contingent student loans," Journal of Public Economics, Elsevier, vol. 138(C), pages 1-21.
    25. Gabriel D. Carroll & James J. Choi & David Laibson & Brigitte C. Madrian & Andrew Metrick, 2009. "Optimal Defaults and Active Decisions," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 124(4), pages 1639-1674.
    26. Raj Chetty & John N. Friedman & Søren Leth-Petersen & Torben Heien Nielsen & Tore Olsen, 2014. "Active vs. Passive Decisions and Crowd-Out in Retirement Savings Accounts: Evidence from Denmark," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 129(3), pages 1141-1219.
    27. Matthew Wiswall & Basit Zafar, 2016. "Human capital investments and expectations about career and family," Staff Reports 792, Federal Reserve Bank of New York.
    28. B. Douglas Bernheim & Andrey Fradkin & Igor Popov, 2015. "The Welfare Economics of Default Options in 401(k) Plans," American Economic Review, American Economic Association, vol. 105(9), pages 2798-2837, September.
    29. Hendrik Schmitz & Nicolas R. Ziebarth, 2017. "Does Price Framing Affect the Consumer Price Sensitivity of Health Plan Choice?," Journal of Human Resources, University of Wisconsin Press, vol. 52(1), pages 88-127.
    30. Jeffrey R. Brown & Jeffrey R. Kling & Sendhil Mullainathan & Marian V. Wrobel, 2013. "Framing Lifetime Income," NBER Working Papers 19063, National Bureau of Economic Research, Inc.
    31. Julian R. Betts, 1996. "What Do Students Know about Wages? Evidence from a Survey of Undergraduates," Journal of Human Resources, University of Wisconsin Press, vol. 31(1), pages 27-56.
    32. 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.
    33. Erica Field, 2009. "Educational Debt Burden and Career Choice: Evidence from a Financial Aid Experiment at NYU Law School," American Economic Journal: Applied Economics, American Economic Association, vol. 1(1), pages 1-21, January.
    34. 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.
    35. Brent J. Evans & Angela Boatman, 2019. "Understanding How Information Affects Loan Aversion: A Randomized Control Trial of Providing Federal Loan Information to High School Seniors," The Journal of Higher Education, Taylor & Francis Journals, vol. 90(5), pages 800-832, September.
    36. Jack W. Britton & Jonathan Gruber, 2019. "Do Income Contingent Student Loan Programs Distort Earnings? Evidence from the UK," NBER Working Papers 25822, National Bureau of Economic Research, Inc.
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    3. Lergetporer, Philipp & Wößmann, Ludger, 2024. "Income Contingency and the Electorate's Support for Tuition," VfS Annual Conference 2024 (Berlin): Upcoming Labor Market Challenges 302330, Verein für Socialpolitik / German Economic Association.
    4. Holger Mueller & Constantine Yannelis, 2022. "Increasing Enrollment in Income‐Driven Student Loan Repayment Plans: Evidence from the Navient Field Experiment," Journal of Finance, American Finance Association, vol. 77(1), pages 367-402, February.
    5. Ege Aksu & Sidhya Balakrishnan & Eric Bettinger & Jonathan S. Hartley & Michael S. Kofoed & Dubravka Ritter & Douglas A. Webber, 2024. "Navigating Higher Education Insurance: An Experimental Study on Demand and Adverse Selection"," Working Papers 24-07, Federal Reserve Bank of Philadelphia.
    6. Lergetporer, Philipp & Wößmann, Ludger, 2022. "Income Contingency and the Electorate's Support for Tuition," VfS Annual Conference 2022 (Basel): Big Data in Economics 264003, Verein für Socialpolitik / German Economic Association.
    7. Li, Haizheng & Liu, Qinyi & Xu, Yiting, 2024. "Noncognitive Human Capital and Misreporting Behavior in Online Surveys," IZA Discussion Papers 17332, Institute of Labor Economics (IZA).
    8. Brent J. Evans & Angela Boatman & Adela Soliz, 2019. "Framing and Labeling Effects in Preferences for Borrowing for College: An Experimental Analysis," Research in Higher Education, Springer;Association for Institutional Research, vol. 60(4), pages 438-457, June.
    9. Cox, James C. & Kreisman, Daniel & Dynarski, Susan, 2020. "Designed to fail: Effects of the default option and information complexity on student loan repayment," Journal of Public Economics, Elsevier, vol. 192(C).
    10. Benjamin M. Marx & Lesley J. Turner, 2019. "Student Loan Choice Overload," NBER Working Papers 25905, National Bureau of Economic Research, Inc.
    11. Balogh, Gábor & Szabó-Bálint, Brigitta & Uhrin, Anett, 2023. "A közgazdászhallgatók reális vagy irreális bérvárakozásait befolyásoló tényezők és a munkatapasztalat összefüggései [The factors influencing business students' realistic and unrealistic salary expe," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(11), pages 1261-1287.
    12. 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).
    13. Nicolás de Roux, 2021. "Exogenous shocks, credit reports and access to credit: Evidence from colombian coffee producers," Documentos CEDE 19769, Universidad de los Andes, Facultad de Economía, CEDE.
    14. Lergetporer, Philipp & Woessmann, Ludger, 2023. "Earnings information and public preferences for university tuition: Evidence from representative experiments," Journal of Public Economics, Elsevier, vol. 226(C).
    15. Katharine G. Abraham & Emel Filiz-Ozbay & Erkut Y. Ozbay & Lesley J. Turner, 2022. "Effects of the Menu of Loan Contracts on Borrower Behavior," Management Science, INFORMS, vol. 68(1), pages 509-528, January.
    16. Lau, Christopher V., 2020. "Are federal student loan accountability regulations effective?," Economics of Education Review, Elsevier, vol. 75(C).
    17. Mangrum, Daniel, 2022. "Personal finance education mandates and student loan repayment," Journal of Financial Economics, Elsevier, vol. 146(1), pages 1-26.

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    More about this item

    Keywords

    Student loans; Higher education; Government expenditures; Income-driven repayment; Income-share agreement;
    All these keywords.

    JEL classification:

    • D14 - Microeconomics - - Household Behavior - - - Household Saving; Personal Finance
    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
    • H52 - Public Economics - - National Government Expenditures and Related Policies - - - Government Expenditures and Education
    • H81 - Public Economics - - Miscellaneous Issues - - - Governmental Loans; Loan Guarantees; Credits; Grants; Bailouts
    • I22 - Health, Education, and Welfare - - Education - - - Educational Finance; Financial Aid

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