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…

College student debt and loan default are growing concerns in the United States. For each U.S. institution, the federal government is now reporting a cohort default rate, which is the percent of students who defaulted on their loan, averaged over a three-year period. Previous studies have amply shown that student characteristics are strongly…

Federal higher education policy has shifted over the past few decades from grants to loans as the primary means for providing access to postsecondary education for low- and moderate-income families. With this shift, policy makers have begun tracking student loan default rates as a key indicator of the efficacy of student loan programs. This effort…

Provides a model of student loan defaults using a panel data file. Identifies a variety of individual variables associated with loan defaults; however, researchers found that the variable with the largest effect on default is continuous enrollment. Students who are continuously enrolled or complete their programs are far less likely to default…

Linked a database of California student borrowers with background financial and demographic information and post-college employment data to examine factors that predict default for borrowers in the federal Family Education Loan program. Found that background demographic and financial characteristics, leaving school without a degree, having low…

Examined the influence of student debt load on college persistence using data from the National Postsecondary Aid Survey of 1992-93 and a model of student persistence that includes either total accumulated debt or threshold of accumulated debt. Findings indicated threshold of accumulated debt was a more effective method of examining student debt…

A study analyzed characteristics of 392 University of Dayton (Ohio) students borrowing through the Perkins Loan Program to discover their relative impact on loan default behavior, and developed a model to help predict individual potential defaulters. Financial aid policy recommendations aimed at reducing default costs at the institution are…

During spring 2001, Noel-Levitz created a student loan default model for the University of Texas at Austin (UT Austin). The goal of this project was to identify students most likely to default, to identify as risk elements those characteristics that contributed to student loan default, and to use these risk elements to plan and implement targeted,…

A study of 180 defaulters and 907 nondefaulters on federal loans at a private 2-year college found that withdrawal from college, gender, race, age, high school rank, and college grades were significantly correlated with default status. Division choice, borrowing characteristics, and reasons for leaving college did not correlate with default…