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arXiv Machine Learning By S. Chalavadi, A. Pastor, T. Leitch

STRATA: A Name-and-Geography Race Inference Model for Fair Lending and Housing Equity Applications

Read the original on arXiv Machine Learning →

arXiv:2504. 21259v2 Announce Type: replace-cross Abstract: Accurate imputation of race and ethnicity (R&E) is essential for fair lending compliance under ECOA, HMDA, and the Community Reinvestment Act, where up to 15% of mortgage applications carry missing race data and regulated institutions bear responsibility for identifying disparities on those records.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv Machine Learning.

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