This project studied four career college and school campuses in Texas that had higher than average graduation rates and lower than average student loan default rates to determine what they did to achieve these positive outcomes. The visits to the campuses found that a conscious, concerted effort to integrate students into the academic and social…

Whereas many prior studies evaluated the association between borrower or institutional characteristics and default behavior, the general finding of most researchers today is that college success plays a bigger role in predicting who will default than either the background of the borrower or the type of institution attended. All else being equal,…

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,…