arXiv:2409.00296

Credit Scores: Performance and Equity

Stefania Albanesi, Domonkos F. Vamossy

제출 2024-08-30

원문 초록

Credit scores are critical for allocating consumer debt in the United States, yet little evidence is available on their performance. We benchmark a widely used credit score against a machine learning model of consumer default and find significant misclassification of borrowers, especially those with low scores. Our model improves predictive accuracy for young, low-income, and minority groups due to its superior performance with low quality data, resulting in a gain in standing for these populations. Our findings suggest that improving credit scoring performance could lead to more equitable access to credit.

함께 살펴볼 논문

공통 태그를 근거로 연결했습니다. 실제 인용 관계나 논문의 우수성을 뜻하지 않습니다.

arXiv:2506.12099공통 태그 Credit score

SocialCredit+

토론

이 논문과 연결된 포럼 글이 아직 없습니다.