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Credit card redlining revisited

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Abstract

Using a proprietary dataset of credit bureau records, Cohen-Cole (2008) finds that banks set credit limits on revolving accounts based in part on the racial composition of the neighborhood in which each borrower resides. This paper evaluates the evidence presented in that working paper using the same proprietary database of credit bureau records. The replication effort presented in this paper suggests that decisions about how to calculate the variables used in that study may have resulted in the unnecessary exclusion of one-fifth of available observations from the estimation samples and may have increased the size of the reported effect by over 25 percent. Furthermore, this analysis suggests that when a control for neighborhood income is added to the estimations, the results presented as evidence of redlining activities disappear.

Suggested Citation

  • Kenneth P. Brevoort, 2009. "Credit card redlining revisited," Finance and Economics Discussion Series 2009-39, Board of Governors of the Federal Reserve System (U.S.).
  • Handle: RePEc:fip:fedgfe:2009-39
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    Cited by:

    1. Sumit Agarwal & Gene Amromin & Itzhak Ben-David & Douglas D. Evanoff, 2016. "Loan Product Steering in Mortgage Markets," NBER Working Papers 22696, National Bureau of Economic Research, Inc.
    2. Gathergood John, 2011. "Racial Disparities in Credit Constraints in the Great Recession: Evidence from the UK," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 11(1), pages 1-32, September.
    3. Song Han & Benjamin J. Keys & Geng Li, 2011. "Credit supply to personal bankruptcy filers: evidence from credit card mailings," Finance and Economics Discussion Series 2011-29, Board of Governors of the Federal Reserve System (U.S.).
    4. Joanna Stavins, 2020. "Credit Card Debt and Consumer Payment Choice: What Can We Learn from Credit Bureau Data?," Journal of Financial Services Research, Springer;Western Finance Association, vol. 58(1), pages 59-90, August.
    5. Robert M. Hunt & Keith Wardrip, 2013. "Residential Migration, Entry, and Exit as Seen Through the Lens of Credit Bureau Data," Consumer Finance Institute discussion papers 13-4, Federal Reserve Bank of Philadelphia.
    6. Ryan M. Goodstein & Alicia Lloro & Sherrie L.W. Rhine & Jeffrey M. Weinstein, 2021. "What accounts for racial and ethnic differences in credit use?," Journal of Consumer Affairs, Wiley Blackwell, vol. 55(2), pages 389-416, June.
    7. Joanna P. Ganning & Timothy Green, 2021. "The online marketplace: Zero‐order city or new source of social inequality?," Growth and Change, Wiley Blackwell, vol. 52(3), pages 1251-1270, September.
    8. Madeleine I. G. Daepp, 2022. "Small-area moving ratios and the spatial connectivity of neighborhoods: Insights from consumer credit data," Environment and Planning B, , vol. 49(3), pages 1129-1146, March.
    9. Valentina Dimitrova-Grajzl & Peter Grajzl & A. Joseph Guse & Richard M. Todd & Michael Williams, 2018. "Neighborhood Racial Characteristics, Credit History, and Bankcard Credit in Indian Country," Comparative Economic Studies, Palgrave Macmillan;Association for Comparative Economic Studies, vol. 60(3), pages 410-441, September.
    10. Simon Firestone, 2014. "Race, Ethnicity, and Credit Card Marketing," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 46(6), pages 1205-1224, September.
    11. Krimmel, Jacob, 2018. "Persistence of Prejudice: Estimating the Long Term Effects of Redlining," SocArXiv jdmq9, Center for Open Science.

    More about this item

    Keywords

    Discrimination in consumer credit; Discrimination in credit cards;

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