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Mezza, Alvaro; Sommer, Kamila – Journal of Student Financial Aid, 2016
The recent significant increase in student loan delinquencies has generated interest in understanding the key factors predicting the non-performance of these loans. However, despite the large size of the student loan market, existing analyses have been limited by lack of data. This paper studies predictors of student loan delinquencies using a…
Descriptors: Student Loan Programs, Debt (Financial), Loan Default, Loan Repayment
Mendoza, Pilar – Journal of Student Financial Aid, 2012
Using the 2007-2008 National Postsecondary Student Aid Study, this study tested positively the hypothesis that college students are either likely to acquire debt above the national median or work more than 30 hours a week in order to graduate from a four year degree within six years. These results resonate with the theory of academic capitalism,…
Descriptors: Student Financial Aid, Debt (Financial), College Students, Higher Education
Lassila, Nathan E. – Journal of Student Financial Aid, 2010
Empirical studies exploring the impact of student aid on postsecondary enrollment often stop short of the specific examination of institutional tuition discounting. This research uses separate empirical ordinary least squares (OLS) regression models to examine three questions using public choice theory, positing that enrollment decisions may be…
Descriptors: Ethnic Groups, Least Squares Statistics, Student Financial Aid, Tuition
Myers, Greeley; Siera, Steven – Journal of Student Financial Aid, 1980
Default on guaranteed student loans has been increasing. The use of discriminant analysis as a technique to identify "good" v "bad" student loans based on information available from the loan application is discussed. Research to test the ability of models to such predictions is reported. (Author/MLW)
Descriptors: College Students, Data Analysis, Discriminant Analysis, Financial Aid Applicants