ERIC Number: EJ1061540
Record Type: Journal
Publication Date: 2015-Jun
Abstractor: As Provided
Reference Count: 44
Cohort Default Rates: Predicting the Probability of Federal Sanctions
Hillman, Nicholas W.
Educational Policy, v29 n4 p559-582 Jun 2015
This study examines the institutional factors associated with student loan default. When a college has more than 30% of its students default on their loans, then the institution faces federal sanctions that could make them ineligible from participating in the federal student loan program. Using Integrated Postsecondary Education Data System (IPEDS) data from 2008 (N = 4,488), and applying logistic regression, this study finds for-profit colleges, those accredited by vocational education programs, and those serving diverse student bodies are most at risk of federal sanctions. It concludes that accreditation reform and improving graduation rates could be long-term solutions to addressing the default problem.
Descriptors: Cohort Analysis, Probability, Prediction, Federal Regulation, Loan Default, Student Loan Programs, Institutional Characteristics, Postsecondary Education, Regression (Statistics), Vocational Education, Risk Assessment, Accreditation (Institutions), Graduation Rate, Student Financial Aid, Finance Reform, Financial Policy, Educational Change, Educational Practices, Proprietary Schools, Minority Group Students, Predictor Variables, Statistical Analysis, Models, Enrollment Rate, Profiles, Socioeconomic Influences, Federal Aid, Data Analysis
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Publication Type: Journal Articles; Reports - Research
Education Level: Postsecondary Education
Authoring Institution: N/A