Automated underwriting in mortgage lending: Good news for the underserved?

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Abstract
Automated underwriting (AU) systems have become the tool of choice in mortgage lending decisions. While these systems provide significant benefits to mortgage originators and investors, questions have been raised about their impact on underserved populations. The questions focus on the relative accuracy of AU compared with manual underwriting and whether AU has increased the flow of mortgage credit to underserved consumers. Using information from Freddie Mac's Loan Prospector AU service, we provide statistics useful in examining these issues. The data strongly support our view that AU provides substantial benefits to consumers, particularly those at the margin of the underwriting decision. We find evidence that AU systems more accurately predict default than manual underwriters do. We also find evidence that this increased accuracy results in higher borrower approval rates, especially for underserved applicants.

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