Fair lending analysis of credit cards
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References listed on IDEAS
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Cited by:
- Vitaly Meursault & Daniel Moulton & Larry Santucci & Nathan Schor, 2022. "One Threshold Doesn’t Fit All: Tailoring Machine Learning Predictions of Consumer Default for Lower-Income Areas," Working Papers 22-39, Federal Reserve Bank of Philadelphia.
- 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.
- 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.
- Valentina Dimitrova-Grajzl & Peter Grajzl & A. Joseph Guse & Richard M. Todd & Michael Williams, 2015. "Neighborhood Racial Characteristics, Credit History, and Bankcard Credit in Indian Country," CESifo Working Paper Series 5594, CESifo.
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More about this item
Keywords
ECOA; Regulation B; Discrimination; Fair lending; Consumer lending; disparate treatment; Disparate impact; Credit card; Scoring model; Model governance;All these keywords.
JEL classification:
- G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
- G28 - Financial Economics - - Financial Institutions and Services - - - Government Policy and Regulation
- K23 - Law and Economics - - Regulation and Business Law - - - Regulated Industries and Administrative Law
NEP fields
This paper has been announced in the following NEP Reports:- NEP-BAN-2014-08-28 (Banking)
- NEP-LAW-2014-08-28 (Law & Economics)
- NEP-REG-2014-08-28 (Regulation)
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