RESEARCH REPORT Underwater on Student Debt
[Pages:45]EDUCATION POLICY PROGRAM
RESEARCH REPORT
Underwater on Student Debt
Understanding Consumer Credit and Student Loan Default
Kristin Blagg August 2018
ABOUT THE URBAN INSTITUTE The nonprofit Urban Institute is a leading research organization dedicated to developing evidence-based insights that improve people's lives and strengthen communities. For 50 years, Urban has been the trusted source for rigorous analysis of complex social and economic issues; strategic advice to policymakers, philanthropists, and practitioners; and new, promising ideas that expand opportunities for all. Our work inspires effective decisions that advance fairness and enhance the well-being of people and places.
Copyright ? August 2018. Urban Institute. Permission is granted for reproduction of this file, with attribution to the Urban Institute. Cover image by Thanakorn.P/Shutterstock.
Contents
Contents
iii
Acknowledgments
iv
Executive Summary
v
Underwater on Student Debt
1
Data and Methods
2
Patterns of Student Loan Default
6
Characteristics of Defaulters
9
Predicting the Likelihood of Default
15
Credit Effects of Default and Recovery
17
Policy Recommendations
23
Conclusion
26
Appendix A. Additional Figures
27
Notes
34
References
35
About the Authors
37
Statement of Independence
38
Acknowledgments
This report was funded by Smith Richardson Foundation. We are grateful to them and to all our funders, who make it possible for Urban to advance its mission.
The views expressed are those of the author and should not be attributed to the Urban Institute, its trustees, or its funders. Funders do not determine research findings or the insights and recommendations of Urban experts. Further information on the Urban Institute's funding principles is available at fundingprinciples.
I thank Matthew Chingos, Sandy Baum, Erica Blom, Jason Delisle, Preston Cooper, Cody Christensen, and Judith Scott-Clayton for helpful comments on earlier drafts of this report.
IV
ACKNOWLEDGMENTS
Executive Summary
Even with a multitude of repayment and debt deferment options, about 250,000 federal direct loan borrowers see their loans go into default every quarter, and an additional 20,000 to 30,000 borrowers default on their rehabilitated federal student loans. In this report, I describe the relationship between a borrower's credit profile and student loan default in a nationally representative sample of student loan borrowers, over the first four years of repayment.
My results indicate that the likelihood of student loan default is positively correlated with holding other collections debt (e.g., medical, utilities, retail, or bank debt). About 59 percent of borrowers who defaulted on their student loans within four years had collections debt in the year before entering student loan repayment (compared with 24 percent among nondefaulters). Those who will default on their student loans are more likely to reside in neighborhoods that have more residents of color and fewer adults with a bachelor's degree or higher, but a borrower's personal credit profile is a stronger predictor of default than the neighborhood where she resides.
Borrowers experiencing a student loan default see an average credit score drop of about 50 to 90 points in the year or two before the default. But those who default typically have poor to fair credit scores, even in the year before entering student loan repayment. Borrowers who default make less progress than nondefaulters in paying down their student loans (as a share of the initial balance), though those with smaller balances (less than $5,000) make more progress than those with higher balances ($20,000 or higher), a trend that also holds true among nondefaulters.
These findings point to several policy recommendations:
Investigate the effect of debt and collections obligations on student loan repayment. Borrowers who default are more financially distressed by other collections debt than nondefaulting borrowers in their cohort. In these circumstances, borrowers might rationally address or pay down other debt obligations before addressing their student loans. Policymakers and researchers should gather more information on borrowers' financial circumstances at the point of default.
Use credit scores to better target student loan repayment assistance. Federal student loans generally do not require underwriting, and a low credit score should not keep a student from getting a loan--indeed, these borrowers might benefit most from access to credit to enroll in higher education. Instead, credit scores could be used as an impartial way to provide additional assistance for borrowers at a higher risk of default as they enter repayment.
EXECUTIVE SUMMARY
V
Consider reshaping the way deferred, delinquent, and defaulted loans increase a borrower's total student loan balance. Interest on a student loan is designed as an incentive for borrowers to begin paying down their loan. But many borrowers put their loans into deferment or forbearance, or do not make payments, thus rather than paying down their debt, they quickly build up additional debt. Policymakers should reexamine the ways interest and fees accrue on student loan debt and consider adjustments that encourage, rather than discourage, repayment.
Focus on discharge remedies that reach the highest-need borrowers. Few student loan borrowers file for bankruptcy. Making it easier to discharge student loans in bankruptcy will likely not provide relief for borrowers who do not have the time or funds to go through the bankruptcy process. Policymakers who want to provide relief for the most distressed borrowers should consider other measures of a borrower's inability to make payments. For example, policymakers could consider a full or partial discharge of loans for borrowers with a record of spending several years in a social safety net program, such as the Supplemental Nutrition Assistance Program or Temporary Assistance for Needy Families, after leaving school.
Develop better measures of student loan acquisition and repayment. The cohort model of tracking student loan repayment is valuable and is employed in this paper. But the diversity of paths a borrower can take in managing her student debt means that following only one cohort of borrowers fails to tell the whole story. For example, many borrowers avoid default but prolong repayment through multiple deferment and repayment options. Researchers and policymakers should consider new ways to segment and analyze student loan borrowers, such as by default behavior or by the use of deferment and forbearance.
VI
EXECUTIVE SUMMARY
Underwater on Student Debt
Roughly a quarter million federal direct loan borrowers see their loans go into default for the first time every quarter, and an additional 20,000 to 30,000 borrowers default on their rehabilitated student loans.1 These defaults occur even though borrowers can put their loans into deferment or forbearance, and nearly all federal loan borrowers can take advantage of income-driven repayment plans that allow borrowers with incomes below 150 percent of the federal poverty level to make payments of $0.
Previous research shows that the probability of a student loan default is higher for certain borrowers. Borrowers who go to for-profit schools and those who leave school without obtaining a degree are most likely to default (Hillman 2014; Looney and Yannelis 2015). Students from low-income families are also more likely than others to default (Herr and Burt 2005; Steiner and Teszler 2005). Students of color, particularly black students, have a higher probability of default than their white peers, and black borrowers tend to hold more debt than white borrowers, even after holding the borrower's family resources and other factors constant (Addo, Houle, and Simon 2016; Grinstein-Weiss et al. 2016; Jackson and Reynolds 2013; Scott-Clayton 2018).
Compared with the amount of research conducted on the socioeconomic, demographic, and institution-level factors affecting student loan defaults, researchers have conducted less research on the noneducation debts that student loan borrowers hold or the approach that student loan borrowers may take toward managing their debt. Undergraduate students who are financially at risk because of high credit card debt or credit card delinquency tend to have higher student loan balances while enrolled in school, and these students tend to predict that they will pay off credit cards before student loans (Pinto and Mansfield 2006). Borrowers who are delinquent on student loans are also more likely to be delinquent on credit card, auto, and mortgage debt relative to nondelinquent borrowers (Brown et al. 2015).
In this analysis, I describe the correlates and consequences of student loan default in a nationally representative sample of student loan borrowers over the first four years of repayment. I provide data on the different types of debt borrowers hold in the first year of student loan repayment to understand the credit profiles of borrowers who let their loans go into default relative to those who stay current or make late payments (i.e., delinquency). I show which credit-based factors are the most predictive of default in the four years after entering repayment. Finally, I show the credit consequences of student loan default and illustrate the changes in overall debt composition among borrowers who do and do not default.
Data and Methods
I use deidentified longitudinal data from one of the nation's three national credit bureaus. These data are a random 2 percent sample of US consumers with a credit record and are available for seven years (captured each August from 2010 to 2016). Each borrower's student loans are collapsed into a single set of data points, indicating the value of student loans that are in deferment, in repayment, and in collections (I do not have access to individual "tradelines," or loan-level data on amount owed and delinquency of each separate loan). These student loans include debt incurred for any educational program, which could include both undergraduate- and graduate-level debt and debt acquired for children or grandchildren (e.g., Parent PLUS Loans). About 10 to 15 percent of federal loan borrowers were the recipients of Grad PLUS or Parent PLUS loans in the past five years (Baum et al. 2017). These student loan records also include both private and federal student loan debts. Although I cannot distinguish the source of the loan, less than 10 percent of student loan volume in the past five years was nonfederal loans (Baum et al. 2017).
For most borrowers in most years, these data also include the zip code of the borrower's current contact address. I connect this zip code to demographic information from the American Community Survey averaged across five years (2011?16), including share of residents by race and ethnicity, education level, and household income level. I also connect zip codes to information on annual average home prices for all homes in the zip code, using data from the Zillow Home Value Index.
I follow a set of borrowers from the first year they enter repayment, rather than looking at a crosssection of student loan borrowers in each year. This method allows me to better describe credit events that happen before and during student loan repayment and after a borrower's first default. To identify those who enter repayment for the first time, I look at borrowers who have no history of student loan repayment in the prior two years on their credit record (students may have student loans in deferment or forbearance in the previous years but should not be actively making payments in these years). I exclude borrowers who meet these criteria but also have a marker on their credit record of a previous student loan default within the past two years, as this indicates the student loan might have entered repayment after a period in student loan collections.
2
UNDERWATER ON STUDENT DEBT
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