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Credit underwriting is a dynamic process involving multiple interactions between borrower and lender. During this process, lenders have the opportunity to obtain hard and soft information from the borrower. We analyze more than 108,000 home equity loans and lines-of-credit applications to study the role of soft and hard information during underwriting. Our dataset allows us to distinguish lender actions that are based strictly on hard information from decisions that involve the collection of soft information. Our analysis confirms the importance of soft information and suggests that its use can be effective in reducing overall portfolio credit losses ex post.
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Stored only when both papers are in the corpus — 81 citations exist upstream.
Papers that cite the same references — the relational fallback while embeddings are still backfilling.
Imported from OpenAlex (CC0) — nothing here is generated.