Journal article
THE NEW DATA OF STUDENT DEBT
Southern California law review, Vol.92(6), pp.1617-1691
09/01/2019
Abstract
Where you go to college and what you choose to study has always been important, but, with the help of data science, it may now determine whether you get a student loan. Silicon Valley is increasingly setting its sights on student lending. Financial technology ("fintech") firms such as SoFi, CommonBond, and Upstart are ever-expanding their online lending activities to help students finance or refinance educational expenses. These online companies are using a wide array of alternative, education-based data points-ranging from applicants' chosen majors, assessment scores, the college or university they attend, job history, and cohort default rates-to determine creditworthiness. Fintech firms argue that through their low overhead and innovative approaches to lending they are able to widen access to credit for underserved Americans. Indeed, there is much to recommend regarding the use of different kinds of information about young consumers in order assess their financial ability. Student borrowers are notoriously disadvantaged by the extant scoring system that heavily favors having a past credit history. Yet there are also downsides to the use of education-based, alternative data by private lenders. This Article critiques the use of this education-based information, arguing that while it can have a positive effect in promoting social mobility, it could also have significant downsides. Chief among these are reifying existing credit barriers along lines of wealth and class and further contributing to discriminatory lending practices that harm women, black and Latino Americans, and other minority groups. The discrimination issue is particularly salient because of the novel and opaque underwriting algorithms that facilitate these online loans. This Article concludes by proposing three-pillared regulatory guidance for private student lenders to use in designing, implementing, and monitoring their education-based data lending programs.
Details
- Title: Subtitle
- THE NEW DATA OF STUDENT DEBT
- Creators
- Christopher K. Odinet - Univ Oklahoma, Law, Norman, OK 73019 USA
- Resource Type
- Journal article
- Publication Details
- Southern California law review, Vol.92(6), pp.1617-1691
- Publisher
- Univ Southern Calif
- ISSN
- 0038-3910
- Number of pages
- 75
- Language
- English
- Date published
- 09/01/2019
- Academic Unit
- Law Faculty; Finance; Public Policy Center (Archive)
- Record Identifier
- 9984283575702771
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