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…

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,…