Marginal Effects

All Credit Products: Mortgages, Consumer Loans, Home Equity Lines/Loans, Auto Loans, Credit Cards


In credit decision analyses, marginal effects are a measure of the difference in denial probabilities. For example, suppose the denial probability of a Hispanic applicant was determined to be 66%, but if that same applicant was White, and his/her denial probability was found to be 50%, the marginal effect for the Hispanic applicant would be 16% (66% – 50% = 16%). This result means the Hispanic applicant is 16% more likely to be denied. In summary, marginal effects as used in underwriting fair lending analyses express the absolute change in the denial probability associated with a prohibited basis group applicant versus the denial probability of an applicant who is not a member of a prohibited basis group.


Allows calculation of differences in denial rates by:

  • Prohibited basis groups
  • Applicant
  • Geography
  • Product
  • Branch/Bank Region
  • CFPB uses denial rates as a measure of fair lending risk in addition to odds ratios in their analyses
  • Reduces fair lending risk.
  • Permits comparison of fair lending risks across prohibited basis groups, applicants, geographies, products and branches as well as bank regions.
  • Allows sensitivity analyses of changes in underwriting guidelines, potential bank acquisitions

For more information and a full discussion of your requirements, contact us here.

Download a printable PDF of how Marginal Effects can help your organization here.