Cited by 659FinTech, Crowdfunding, Digital FinanceUrban, Neighborhood, and Segregation StudiesHousing Market and Economics

Consumer-lending discrimination in the FinTech Era

Open access
Bartlett, Robert, Morse, Adair, Stanton, Richard, Wallace, Nancy·2022·Journal of Financial Economics

Abstract

U.S. fair-lending law prohibits lenders from making credit determinations that disparately affect minority borrowers if those determinations are based on characteristics unrelated to creditworthiness. Using an identification under this rule, we show risk-equivalent Latinx/Black borrowers pay significantly higher interest rates on GSE-securitized and FHA-insured loans, particularly in high-minority-share neighborhoods. We estimate these rate differences cost minority borrowers over $450 million yearly. FinTech lenders’ rate disparities were similar to those of non-Fintech lenders for GSE mortgages , but lower for FHA mortgages issued in 2009–2015 and for FHA refi mortgages issued in 2018–2019.

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References 46 · Cited by 659

Research works printed but not linked: 24

  1. Aigner, D. J., and G. Cain, 1977, Statistical theories of discrimination in the labor market, Industry and Labor Relations Review 30, 175-187.
  2. Aldrich, S. P. B., W. R. Greenberg, and B. S. Payner, 2001, A capital markets view of mortgage servicing rights, Journal of Fixed Income 11, 37-53.
  3. Arnold, D., W. Dobbie, and C. S. Yang, 2018, Racial bias in bail decisions, Quarterly Journal of Economics (forthcoming).
  4. Arrow, K., 1973, Higher education as a filter, Journal of Public Economics 2, 193-216.
  5. Bayer, P., F. Ferreira, and S. L. Ross, 2016, The vulnerability of minority homeowners in the housing boom and bust, American Economic Review: Economic Policy 8, 1-27.
  6. Becker, G. S., 1957, The Economics of Discrimination (University of Chicago Press, Chicago).
  7. Black, H., R. L. Schweitzer, and L. Mandell, 1978, Wage discrimination: Reduced form and structural estimates, American Economic Review, Papers and Proceedings 68, 186-191.
  8. Blinder, A. S., 1973, Wage discrimination: Reduced form and structural estimates, Journal of Human Resources 8, 436-455.
  9. Card, D., A. R. Cardoso, and P. Kline, 2016, Bargaining, sorting, and the gender wage gap: Quantifying the impact of firms on the relative pay of women, Quarterly Journal of Economics 131, 633-686.
  10. Fortin, N., T. Lemieux, and S. Firpo, 2011, Decomposition methods in economics, in O. Ashenfelter, and D. Card, eds., Handbook of Labor Economics, volume 4A, chapter 1 (Elsevier, Amsterdam).
  11. Gano, A., 2017, Disparate impact and mortgage lending: A beginner's guide, University of Colorado Law Review 88, 1109-1166.
  12. Glassman, A. M., and S. Verna, 2016, Disparate impact one year after Inclusive Communities, Journal of Affordable Housing & Community Development Law 25, 12-24.
  13. Gruenstein Bocian, D., K. Ernst, and W. Li, 2008, Race, ethnicity and subprime home loan pricing, Journal of Urban Economics 60, 110-124.
  14. Hastie, T., R. Tibshirani, and J. Friedman, 2009, The Elements of Statistical Learning: Data Mining, Inference, and Prediction, second edition (Springer, New York).
  15. Heckman, J., 1998, Detecting discrimination, Journal of Economic Perspectives 12, 101-116.
  16. Heckman, J., and P. Siegelman, 1993, The Urban Institute audit studies: Their methods and findings, in M. E. Fix, and R. J. Struyk, eds., Clear and Convincing Evidence: Measurement of Discrimination in America, 187-258 (Urban Institute Press, Washington, DC).
  17. James, G., D. Witten, T. Hastie, and R. Tibshirani, 2015, An Introduction to Statistical Learning with Applications in R (Springer, New York).
  18. Kaye, D., 1982, Statistical evidence of discrimination, Journal of the American Statistical Association 77, 773-783.
  19. Maddala, G., and R. P. Trost, 1982, On measuring discrimination in loan markets, Housing Finance Review 1, 693-709.
  20. Phelps, E. S., 1972, Money, public expenditure and labor supply, Journal of Economic Theory 5, 69-78.
  21. Rachlis, M., and A. Yezer, 1993, Serious flaws in statistical tests for discrimination in mort-gage markets, Journal of Housing Research 4, 315-336.
  22. Ross, S., 2002, Paired testing and the 2000 Housing Discrimination Survey, in W. Foster, A. F. Mitchell, and S. E. Fienberg, eds., Measuring Housing Discrimination in a National Study: Report of a Workshop (National Academies Press, Washington DC).
  23. Ross, S. L., M. A. Turner, E. Godfrey, and R. R. Smith, 2008, Mortgage lending in Chicago and Los Angeles: A paired testing study of the pre-application process, Journal of Urban Economics 63, 902-919.
  24. Smith, R., and M. Delair, 1999, New evidence from lender testing: Discrimination at the pre-application stage, in M. Turner, and F. Skidmore, eds., Mortgage Lending Discrimination: A Review of Existing Evidence (Urban Institute Press, Washington, DC).

Authors
Bartlett, R., Morse, A., Stanton, R., & Wallace, N.
Affiliations
  • University of California, Berkeley (US)
  • United States Department of the Treasury (US)
Corresponding author
Stanton, Richard
Venue
Journal of Financial Economics
Publisher
Elsevier BV
Published
2022-01
Volume
143
Issue
1
Pages
30-56
ISSN
0304-405X (ISSN-L)
OpenAlex
W2770743945
Cited by
659
References
46
Citations by year
2026: 165 · 2025: 166 · 2024: 100 · 2023: 91 · 2022: 78 · 2021: 31 · 2020: 16 · 2019: 7 · 2018: 5
FWCI
74.13
Type
journal article
Language
en
Open access
Locations
  • Journal of Financial Economics (publishedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
  • Berkley Law Scholarship Repository (University of California, Berkeley) (submittedVersion)
Topics
  • Social Sciences › Business, Management and Accounting › Management Information Systems › FinTech, Crowdfunding, Digital Finance
  • Social Sciences › Sociology and Political Science › Urban, Neighborhood, and Segregation Studies
  • Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Housing Market and Economics
Keywords
minority borrowers, Black borrowers, fintech lenders, mortgage refinancing, creditworthiness

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