New Year, New Data in Your Credit Score

During 2021, reports from the CFPB and consumer advocates spotlighted the role of credit scoring in people's financial growth or stagnation and decline. These reports emphasized racial and ethnic disparities in credit scores and in complaints about errors in credit reports. Congressmembers introduced three draft bills aimed at improving credit reporting. Given the problems with traditional credit reports and scores, along with barriers to access to credit and other opportunities faced by the credit invisible, the idea of alternative credit scoring was raised repeatedly last year -- in reports, news stories, and in the draft bills. Seemingly in reaction, starting now, Experian is adding data about "buy now, pay later" loans to credit reports. Soon after Transunion announced that it was “well on [its] way” to including the same data.

Sara Greene and I have a new paper about credit reporting and scores, "Credit Scoring Duality," that focuses on the benefits and potential problems of adding alternative data to credit scoring models. Adding more data to credit scores, at first, may seem appealing. More data = better, more accurate scores? However, the use of this alternative data will not necessarily make the credit invisible or people with low credit scores more attractive. Much of the additional data proposed suffer from the same demographic disparities as the data already incorporated into credit scores. That is, in general, the people supposedly helped by inclusion of alternative data are likely to perform below-average on these inputs. Beyond replicating already present disparities, Greene and I worry that pointing to alternative credit scoring as a solution will distract from larger, systemic issues that are shown by disparities in credit scores. For more details, see our draft paper.