Fourteen Black Colleges Could be Forced to Close if They Fail to Reduce Their Student Loan Default Rates

1999 ◽  
pp. 55
Keyword(s):  
Student Loan ◽  
Black Colleges ◽  
Loan Default ◽  
Default Rates ◽  
Student Loan Default

scholarly journals Where Do Students Go When For-Profit Colleges Lose Federal Aid?

2020 ◽  
Vol 12 (2) ◽  
pp. 46-83
Author(s):  
Stephanie R. Cellini ◽  
Rajeev Darolia ◽  
Lesley J. Turner
Keyword(s):  
Local Community ◽  
Student Loans ◽  
Student Loan ◽  
Federal Aid ◽  
Level Variation ◽  
Loan Default ◽  
For Profit ◽  
Default Rates ◽  
Student Loan Default ◽  
Percent Decrease

We examine the effects of federal sanctions imposed on for-profit institutions in the 1990s. Using county-level variation in the timing and magnitude of sanctions linked to student loan default rates, we estimate that sanctioned for-profits experience a 68 percent decrease in annual enrollment following sanction receipt. Enrollment losses due to for-profit sanctions are 60–70 percent offset by increased enrollment within local community colleges, where students are less likely to default on federal student loans. Conversely, for-profit sanctions decrease enrollment in local unsanctioned for-profit competitors, likely due to improved information about local options and reputational spillovers. Overall, market enrollment declines by 2 percent. (JEL H52, I21, I22, I23, I28)

Connecting Student Loans to Labor Market Outcomes: Policy Lessons from Chile

2015 ◽  
Vol 105 (5) ◽  
pp. 508-513 ◽  
Author(s):  
Harald Beyer ◽  
Justine Hastings ◽  
Christopher Neilson ◽  
Seth Zimmerman
Keyword(s):  
Student Loans ◽  
Labor Market Outcomes ◽  
Student Loan ◽  
Degree Programs ◽  
Market Outcomes ◽  
Loan Default ◽  
Loan Repayment ◽  
Financial Outcomes ◽  
Default Rates ◽  
Student Loan Default

Rising student loan default rates and protests over debt suggest that many students make college enrollment and financing choices they regret. Policymakers have considered tying the availability of federally subsidized loans at degree programs to financial outcomes for past students. This paper considers the implementation of such a policy in Chile. We describe how loan repayment varied by degree type at baseline, the design of the loan reform, and how earnings-based loan caps change availability of loans and incentives for students and higher education institutions. We discuss the challenges facing policymakers seeking to link loan availability to earnings outcomes.

Social Capital’s Impact on College Graduation Rates, Debt, and Student Loan Defaults

2020 ◽  
pp. 152102512091887
Author(s):  
Steve Joanis ◽  
James Burnley ◽  
J. D. Mohundro
Keyword(s):  
Social Capital ◽  
Graduation Rates ◽  
Student Loan ◽  
Theory And Practice ◽  
College Graduation ◽  
Student Debt ◽  
Loan Default ◽  
College Graduation Rates ◽  
Default Rates ◽  
Debt Levels

This study extends the literature on education economics and student retention by examining social capital as a predictor of college graduation rates, student debt levels, and student loan default rates. Coleman’s social capital theory is employed to understand how social influences can impact students through external social support (i.e., social capital). The study uses school-level data from the U.S. Department of Education’s Integrated Postsecondary Education Data System and two social capital measures. Results suggest that social capital, at both the state and the community level, significantly influences graduation rates, student debt levels, and loan default rates. Implications for theory and practice are discussed.

Individual and campus characteristics associated with student loan default

1995 ◽  
Vol 36 (1) ◽  
pp. 41-72 ◽  
Author(s):  
J. Fredericks Volkwein ◽  
Bruce P. Szelest
Keyword(s):  
Student Loan ◽  
Loan Default ◽  
Student Loan Default

An Economic Analysis of Student Loan Default

1989 ◽  
Vol 11 (1) ◽  
pp. 61-68 ◽  
Author(s):  
Laura L. Greene
Keyword(s):  
North Carolina ◽  
Economic Analysis ◽  
Discriminant Function ◽  
Discriminant Function Analysis ◽  
Function Analysis ◽  
Student Loan ◽  
Loan Default ◽  
Student Loan Default ◽  
Direct Student ◽  
The University

An existing model of student loan default uses discriminant function analysis to identify the characteristics of borrowers who repay their loans and those who default. This paper uses data on National Direct Student Loan borrowers at the University of North Carolina at Greensboro to confirm the results of a previous paper’s discriminant function analysis and to present an alternative method of analysis, the Tobit technique. An advantage of Tobit is that it uses information not only from the categorical default/no default decision but also from the magnitude of the default.

Factors Associated with Student Loan Default among Different Racial and Ethnic Groups

1998 ◽  
Vol 69 (2) ◽  
pp. 206-237 ◽  
Author(s):  
J. Fredericks Volkwein ◽  
Bruce P. Szelest ◽  
Alberto F. Cabrera ◽  
Michelle R. Napierski-Prancl
Keyword(s):  
Ethnic Groups ◽  
Student Loan ◽  
Loan Default ◽  
Factors Associated ◽  
Student Loan Default
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