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Background and Context

Research Focus

This study investigates discrimination in mortgage lending by examining interest rate differences between minority and non-minority borrowers for loans backed by government-sponsored enterprises (GSEs) and the Federal Housing Administration (FHA).

Methodology

The researchers analyzed over 5.7 million mortgage loans issued between 2009-2015 and 3.2 million loans from 2018-2019, comparing interest rates between Latinx/Black borrowers and non-minority borrowers while controlling for credit risk factors.

Data Sources

The study merged four major mortgage datasets: McDash loan-level data, ATTOM property data, Home Mortgage Disclosure Act (HMDA) data, and Equifax loan performance data to create a comprehensive analysis.

Higher Interest Rates Paid by Minority Borrowers (2009-2015)

  • Shows the additional interest rate paid by minority borrowers compared to non-minority borrowers
  • Purchase loans show larger disparities than refinance loans
  • Both GSE and FHA loans exhibit significant rate differences

Interest Rate Disparities by Census Tract Minority Share (2009-2015)

  • Shows how rate differences increase in areas with higher minority populations
  • Demonstrates geographical component of lending discrimination
  • Rate disparities are highest in census tracts with highest minority share

FinTech vs Traditional Lender Rate Disparities (2018-2019)

  • Compares discrimination levels between FinTech and traditional lenders
  • Shows FinTech lenders exhibit similar disparities for GSE loans
  • Demonstrates technology alone does not eliminate lending discrimination

Impact of Points and Loan Costs on Rate Disparities (2018-2019)

  • Shows rate disparities persist even after controlling for points and loan costs
  • Demonstrates discrimination cannot be explained by differences in up-front payments
  • Indicates systematic pricing differences affect minority borrowers

Estimated Annual Cost of Discrimination

$450+ Million
  • Represents the additional interest paid annually by minority borrowers due to rate disparities
  • Calculated using 2018-2019 rate differences and total GSE/FHA mortgage volumes
  • Demonstrates the substantial economic impact of lending discrimination

Contribution and Implications

  • Provides first comprehensive evidence of persistent mortgage discrimination in the post-financial crisis era
  • Shows algorithmic lending has not eliminated discrimination, suggesting need for additional regulatory oversight
  • Demonstrates importance of GSE/FHA role in standardizing credit risk assessment to reduce discrimination

Data Sources

  • Rate differentials from Table 3 (2009-2015 data) and Table 10 (2018-2019 data)
  • Census tract analysis based on figures reported in Section 5.4.1 and Table 5
  • FinTech comparison using data from Table 11
  • Points and costs analysis from Table 10 panels (a) and (c)
  • Annual cost estimate derived from methodology described in Section 8