A Crisis in Student Loans?: How Changes in the Characteristics of Borrowers and in the Institutions They Attended Contributed to Rising Loan Defaults
Open accessAbstract
This paper examines the rise in student loan default and delinquency.It draws on a unique set of administrative data on federal student borrowing matched to earnings records from de-identified tax records.Most of the increase in default is associated with borrowers at for-profit schools, 2-year institutions, and certain other nonselective institutions.Historically, students at these institutions have constituted a small share of all student borrowers.These nontraditional borrowers have largely come from lower-income families, attended institutions with relatively weak educational outcomes, faced poor labor market outcomes after leaving school, and defaulted at high rates.In contrast, default rates have remained low among borrowers who attended most 4-year public and nonprofit private institutions and among graduate school borrowers-who collectively represent the vast majority of the federal loan portfolio-despite the severe recession and these borrowers' relatively high loan balances.The higher earnings, low rates of unemployment, and greater family resources of this latter category of borrowers appear to have helped them avoid adverse loan outcomes even during times of hardship.Decomposition analysis indicates that changes in the characteristics of borrowers and the institutions they attended are associated with much of the doubling in default rates between 2000 and 2011, with changes in the type of schools attended, debt burdens, and labor market outcomes explaining the largest share.B etween 2000 and 2014, the total volume of outstanding federal stu- dent debt nearly quadrupled to surpass $1.1 trillion, the number of student loan borrowers more than doubled to reach 42 million, and default 1. Borrowers from nonselective 4-year schools accounted for an additional 12 percent of defaults.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Student Loans: Do College Students Borrow Too Much—Or Not Enough?
Avery, C., & Turner, S. (2012) · Journal of Economic Perspectives · doi:10.1257/jep.26.1.165 · Cited by 385 · see citing works
Cohodes, S. R., & Goodman, J. S. (2014) · American Economic Journal: Applied Economics · doi:10.1257/app.6.4.251 · Cited by 359 · see citing works
The nature of credit constraints and human capital
Lochner, L. J., & Monge-Naranjo, A. (2011) · American Economic Review · doi:10.1257/aer.101.6.2487 · Cited by 347 · see citing works
Flagged first, then by citations
Research works printed but not linked: 23
- Barr, Andrew, and Sarah Turner. 2015a. "Out of Work and into School: Labor Market Policies and College Enrollment during the Great Recession." Journal of Public Economics 124: 63-73.
- Blinder, Alan S. 1973. "Wage Discrimination: Reduced Form and Structural Vari- ables." Journal of Human Resources 8, no. 4: 436-55.
- Bound, John, Michael F. Lovenheim, and Sarah Turner. 2010. "Why Have Col- lege Completion Rates Declined? An Analysis of Changing Student Preparation and Collegiate Resources." American Economic Journal: Applied Economics 2, no. 3: 129-57.
- Cellini, Stephanie Riegg. 2009. "Crowded Colleges and College Crowd-Out: The Impact of Public Subsidies on the Two-Year College Market." American Economic Journal: Economic Policy 1, no. 2: 1-30.
- Cellini, Stephanie Riegg, and Claudia Goldin. 2014. "Does Federal Student Aid Raise Tuition? New Evidence on For-Profit Colleges." American Economic Journal: Economic Policy 6, no. 4: 174-206.
- Chapman, Bruce. 1997. "Conceptual Issues and the Australian Experience with Income Contingent Charges for Higher Education." Economic Journal 107, no. 422: 738-51.
- Deming, David J., Claudia Goldin, and Lawrence F. Katz. 2012. "The For-Profit Postsecondary School Sector: Nimble Critters or Agile Predators?" Journal of Economic Perspectives 26, no. 1: 139-64.
- Downs, David H., and Pisun (Tracy) Xu. 2015. "Commercial Real Estate, Distress and Financial Resolution: Portfolio Lending versus Securitization." Journal of Real Estate Finance and Economics 51, no. 2: 254-87.
- Field, Erica. 2009. "Educational Debt Burden and Career Choice: Evidence from a Financial Aid Experiment at NYU Law School." American Economic Journal: Applied Economics 1, no. 1: 1-21.
- Hartman, Robert W. 1972. "Equity Implications of State Tuition Policy and Stu- dent Loans." Journal of Political Economy 80, no. 3: 142-71.
- Ionescu, Felicia. 2009. "The Federal Student Loan Program: Quantitative Impli- cations for College Enrollment and Default Rates." Review of Economic Dynamics 12, no. 1: 205-31.
- ---. 2011. "Risky Human Capital and Alternative Bankruptcy Regimes for Student Loans." Journal of Human Capital 5, no. 2: 153-206.
- Knapp, Laura Greene, and Terry G. Seaks. 1992. "An Analysis of the Probability of Default on Federally Guaranteed Student Loans." Review of Economics and Statistics 74, no. 3: 404-11.
- Lucas, Deborah, and Damien Moore. 2010. "Guaranteed versus Direct Lending: The Case of Student Loans." In Measuring and Managing Federal Financial Risk, edited by Deborah Lucas. University of Chicago Press.
- Marx, Benjamin M., and Lesley J. Turner. 2015. "Borrowing Trouble: Student Loans, the Cost of Borrowing, and Implications for the Effectiveness of Need-Based Grant Aid." Working Paper no. 20850. Cambridge, Mass.: National Bureau of Economic Research.
- Oaxaca, Ronald. 1973. "Male-Female Wage Differentials in Urban Labor Mar- kets." International Economic Review 14, no. 3: 693-709.
- Psacharopoulos, George, and George Papakonstantinou. 2005. "The Real Uni- versity Cost in a 'Free' Higher Education Country." Economics of Education Review 24, no. 1: 103-8.
- Sun, Stephen Teng, and Constantine Yannelis. 2016. "Credit Constraints and Demand for Higher Education: Evidence from Financial Deregulation." Review of Economics and Statistics 98, no. 1: 12-24.
- Cellini, Stephanie Riegg, and Latika Chaudhary. 2014. "The Labor Market Returns to a For-Profit College Education." Economics of Education Review 43: 125-40.
- Cellini, Stephanie Riegg, and Claudia Goldin. 2014. "Does Federal Student Aid Raise Tuition? New Evidence on For-Profit Colleges." American Economic Journal: Economic Policy 6, no. 4: 174-206.
- Darolia, Rajeev, Cory Koedel, Paco Martorell, Katie Wilson, and Francisco Perez-Arce. 2015. "Do Employers Prefer Workers Who Attended For-Profit Colleges? Evidence from a Field Experiment." Journal of Policy Analysis and Management 34, no. 4: 881-903.
- Deming, David J., Noam Yuchtman, Amira Abulafi, Claudia Goldin, and Lawrence F. Katz. Forthcoming. "The Value of Postsecondary Credentials in the Labor Market: An Experimental Study." American Economic Review.
- Hoxby, Caroline M., and Sarah Turner. 2015. "What High-Achieving Low-Income Students Know about College." American Economic Review 105, no. 5: 514-7.
Cited by
Sorted by citations
Student Loans and Homeownership
Mezza, A., Ringo, D., Sherlund, S., & Sommer, K. (2020) · Journal of Labor Economics · doi:10.1086/704609 · Cited by 110 · see citing works
Second Chance: Life without Student Debt
Di Maggio, M., Kalda, A., & Yao, V. (2019) · doi:10.3386/w25810 · Cited by 51 · see citing works
Designed to fail: Effects of the default option and information complexity on student loan repayment
Cox, J. C., Kreisman, D., & Dynarski, S. (2020) · Journal of Public Economics · doi:10.1016/j.jpubeco.2020.104298 · Cited by 49 · see citing works
Chakrabarti, R., Gorton, N., & Lovenheim, M. (2020) · doi:10.3386/w27885 · Cited by 49 · see citing works
Black, S., Denning, J., Dettling, L., Goodman, S., & Turner, L. (2020) · doi:10.3386/w27658 · Cited by 48 · see citing works
The Distributional Effects of Student Loan Forgiveness
Catherine, S., & Yannelis, C. (2023) · Journal of Financial Economics · doi:10.1016/j.jfineco.2022.10.003 · Cited by 48 · see citing works
Self-citation
- Authors
- Looney, A., & Yannelis, C.
- Affiliations
- United States Department of the Treasury (US)
- Venue
- Brookings Papers on Economic Activity
- Publisher
- Project MUSE
- Published
- 2015
- Volume
- 2015
- Issue
- 2
- Pages
- 1-89
- ISSN
- 0007-2303 (ISSN-L)
- 1533-4465
- OpenAlex
- W2371575287
- Cited by
- 276
- References
- 3
- Citations by year
- 2026: 5 · 2025: 19 · 2024: 24 · 2023: 12 · 2022: 38 · 2021: 25 · 2020: 30 · 2019: 34 · 2018: 26 · 2017: 32 · 2016: 18 · 2015: 8 · 2014: 4 · 2012: 1
- FWCI
- 139.95
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- public-domain
- Locations
- Brookings Papers on Economic Activity (publishedVersion, public-domain)
- RePEc: Research Papers in Economics (submittedVersion)
- Project Muse (Johns Hopkins University) (submittedVersion)
- VTechWorks (Virginia Tech) (submittedVersion, cc-by-nc-nd)
- Funders
- U.S. Department of the Treasury
- Alexander S. Onassis Public Benefit Foundation
- Stanford Institute for Economic Policy Research
- Topics
- Social Sciences › Education › Higher Education Research Studies
- Social Sciences › Business, Management and Accounting › Accounting › Financial Literacy, Pension, Retirement Analysis
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Politics, Economics, and Education Policy
- Keywords
- student loan default, student loan delinquency, federal student loans, for-profit colleges, two-year institutions, borrower characteristics, student debt, labor market outcomes, earnings, debt burden
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review