How Costly Is Noise? Data and Disparities in Consumer Credit
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Cited by:
- Hurtado, Agustin & Sakong, Jung, 2022. "The effect of minority bank ownership on minority credit," Working Papers 325, The University of Chicago Booth School of Business, George J. Stigler Center for the Study of the Economy and the State.
- Sabrina T. Howell & Theresa Kuchler & David Snitkof & Johannes Stroebel & Jun Wong, 2021. "Lender Automation and Racial Disparities in Credit Access," NBER Working Papers 29364, National Bureau of Economic Research, Inc.
- Langenbucher, Katja, 2022. "Consumer credit in the age of AI: Beyond anti-discrimination law," LawFin Working Paper Series 42, Goethe University, Center for Advanced Studies on the Foundations of Law and Finance (LawFin).
- Subhadeep Mukhopadhyay, 2021. "InfoGram and Admissible Machine Learning," Papers 2108.07380, arXiv.org, revised Aug 2021.
- Ashesh Rambachan, 2022. "Identifying Prediction Mistakes in Observational Data," NBER Chapters, in: Economics of Artificial Intelligence, National Bureau of Economic Research, Inc.
- Ströbel, Johannes & Howell, Sabrina & Kuchler, Theresa & Snitkof, David, 2021.
"Racial Disparities in Access to Small Business Credit: Evidence from the Paycheck Protection Program,"
CEPR Discussion Papers
16623, C.E.P.R. Discussion Papers.
- Sabrina T. Howell & Theresa Kuchler & David Snitkof & Johannes Stroebel & Jun Wong, 2021. "Racial Disparities in Access to Small Business Credit: Evidence from the Paycheck Protection Program," CESifo Working Paper Series 9345, CESifo.
- Cusato, Antonio & Castillo, José Luis & IDB Invest, 2023. "Access to Credit and the Expansion of Broadband Internet in Peru," IDB Publications (Working Papers) 12922, Inter-American Development Bank.
- Langenbucher, Katja, 2022. "Consumer credit in the age of AI: Beyond anti-discrimination law," SAFE Working Paper Series 369, Leibniz Institute for Financial Research SAFE.
- Egle Jakucionyte & Swapnil Singh, 2021. "Emergence of Subprime Lending in Minority Neighborhoods," Bank of Lithuania Working Paper Series 94, Bank of Lithuania.
- 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.
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This paper has been announced in the following NEP Reports:- NEP-URE-2021-11-22 (Urban and Real Estate Economics)
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