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Measuring Bias in Consumer Lending

Citations

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Cited by:

  1. Laura Blattner & Scott Nelson, 2021. "How Costly is Noise? Data and Disparities in Consumer Credit," Papers 2105.07554, arXiv.org.
  2. 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.
  3. Ivan A Canay & Magne Mogstad & Jack Mount, 2024. "On the Use of Outcome Tests for Detecting Bias in Decision Making," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 91(4), pages 2135-2167.
  4. David Thesmar & David Sraer & Lisa Pinheiro & Nick Dadson & Razvan Veliche & Paul Greenberg, 2019. "Combining the Power of Artificial Intelligence with the Richness of Healthcare Claims Data: Opportunities and Challenges," PharmacoEconomics, Springer, vol. 37(6), pages 745-752, June.
  5. Peter Ganong & Damon Jones & Pascal Noel & Diana Farrell & Fiona Greig & Chris Wheat, 2020. "Wealth, Race, and Consumption Smoothing of Typical Income Shocks," Working Papers 2020-49, Becker Friedman Institute for Research In Economics.
  6. J. Michelle Brock & Ralph De Haas, 2023. "Discriminatory Lending: Evidence from Bankers in the Lab," American Economic Journal: Applied Economics, American Economic Association, vol. 15(2), pages 31-68, April.
  7. Christophe HURLIN & Christophe PERIGNON & Sébastien SAURIN, 2021. "The Fairness of Credit Scoring Models," LEO Working Papers / DR LEO 2912, Orleans Economics Laboratory / Laboratoire d'Economie d'Orleans (LEO), University of Orleans.
  8. Trevor J. Bakker & Stefanie DeLuca & Eric A. English & Jamie Fogel & Nathaniel Hendren & Daniel Herbst, 2025. "Credit Access in the United States," Working Papers 25-45, Center for Economic Studies, U.S. Census Bureau.
  9. 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.
  10. Sabrina T. Howell & Theresa Kuchler & David Snitkof & Johannes Stroebel & Jun Wong, 2024. "Lender Automation and Racial Disparities in Credit Access," Journal of Finance, American Finance Association, vol. 79(2), pages 1457-1512, April.
  11. Hannes Ullrich & Michael Allan Ribers, 2023. "Machine predictions and human decisions with variation in payoffs and skill: the case of antibiotic prescribing," Berlin School of Economics Discussion Papers 0027, Berlin School of Economics.
  12. Tobias Berg & Andreas Fuster & Manju Puri, 2022. "FinTech Lending," Annual Review of Financial Economics, Annual Reviews, vol. 14(1), pages 187-207, November.
  13. 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).
  14. Elisa Baldazzi & Pietro Biroli & Marina Della Giusta & Florent Dubois, 2025. "Seeing Stereotypes," Papers 2503.02146, arXiv.org.
  15. 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.
  16. repec:osf:socarx:atsk9_v1 is not listed on IDEAS
  17. Anastasia Cozarenco & Ariane Szafarz, 2024. "How to identify lending bias when the lender's goal is not profit?," Working Papers CEB 24-007, ULB -- Universite Libre de Bruxelles.
  18. Laeven, Luc & Boot, Arnoud & Hoffmann, Peter & Ratnovski, Lev, 2020. "Financial Intermediation and Technology: What’s Old, What’s New?," CEPR Discussion Papers 15004, C.E.P.R. Discussion Papers.
  19. Hagendorff, Jens & Nguyen, Duc Duy & Sila, Vathunyoo, 2022. "Does marriage equality promote credit access? Evidence from same-sex marriage laws," Journal of Corporate Finance, Elsevier, vol. 77(C).
  20. Ajit Desai, 2023. "Machine learning for economics research: when, what and how," Staff Analytical Notes 2023-16, Bank of Canada.
  21. Xiyang Hu & Yan Huang & Beibei Li & Tian Lu, 2022. "Uncovering the Source of Machine Bias," Papers 2201.03092, arXiv.org.
  22. Yidi Liu & Xin Li & Zhiqiang (Eric) Zheng, 2024. "Smart Natural Disaster Relief: Assisting Victims with Artificial Intelligence in Lending," Information Systems Research, INFORMS, vol. 35(2), pages 489-504, June.
  23. Bertoletti, Lucía & Borraz, Fernando & Sanroman, Graciela, 2024. "Consumer Debt and Poverty: the Default Risk Gap," GLO Discussion Paper Series 1439, Global Labor Organization (GLO).
  24. Jackson P. Lautier & Vladimir Pozdnyakov & Jun Yan, 2022. "On the Convergence of Credit Risk in Current Consumer Automobile Loans," Papers 2211.09176, arXiv.org, revised Jan 2024.
  25. Hadi Elzayn & Simon Freyaldenhoven & Ryan Kobler & Minchul Shin, 2025. "Measuring Fairness in the U.S. Mortgage Market," Working Papers 25-04, Federal Reserve Bank of Philadelphia.
  26. Andrés Alonso Robisco & José Manuel Carbó Martínez, 2022. "Measuring the model risk-adjusted performance of machine learning algorithms in credit default prediction," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-35, December.
  27. Salma Rhanoui, 2022. "Banking Goes Digital: The Main Determinants of the Clients Satisfaction and Trust toward Fintech-Based Services," International Journal of Economics and Financial Issues, Econjournals, vol. 12(5), pages 10-20, September.
  28. Wang, Yang & Xiuping, Sui & Zhang, Qi, 2021. "Can fintech improve the efficiency of commercial banks? —An analysis based on big data," Research in International Business and Finance, Elsevier, vol. 55(C).
  29. Nicolás Grau & Damián Vergara, "undated". "A Simple Test for Prejudice in Decision Processes: The Prediction-Based Outcome Test," Working Papers wp493, University of Chile, Department of Economics.
  30. Liu, Tao & Yu, Yanxin & Gong, Di & Guo, Min, 2024. "Geographic disparities in bank lending: Evidence from an auto loan market," Pacific-Basin Finance Journal, Elsevier, vol. 88(C).
  31. Andres Liberman & Christopher Neilson & Luis Opazo & Seth Zimmerman, 2018. "The Equilibrium Effects of Information Deletion: Evidence from Consumer Credit Markets," NBER Working Papers 25097, National Bureau of Economic Research, Inc.
  32. Boot, Arnoud & Hoffmann, Peter & Laeven, Luc & Ratnovski, Lev, 2021. "Fintech: what’s old, what’s new?," Journal of Financial Stability, Elsevier, vol. 53(C).
  33. Nicola Branzoli & Ilaria Supino, 2020. "FinTech credit: a critical review of empirical research," Questioni di Economia e Finanza (Occasional Papers) 549, Bank of Italy, Economic Research and International Relations Area.
  34. Andres Liberman & Christopher A. Neilson & Luis Opazo & Seth Zimmerman, 2019. "Equilibrium Effects of Asymmetric Information on Consumer Credit Markets," Working Papers 2019-7, Princeton University. Economics Department..
  35. Alperovych, Yan & Divakaruni, Anantha & Le Grand, François, 2022. "FinTech Lending under Austerity," SocArXiv atsk9, Center for Open Science.
  36. repec:osf:osfxxx:m4tps_v1 is not listed on IDEAS
  37. Divakaruni, Anantha & Alperovych, Yan & Le Grand, François, 2022. "FinTech Lending under Austerity," OSF Preprints m4tps, Center for Open Science.
  38. Hoang, Daniel & Wiegratz, Kevin, 2022. "Machine learning methods in finance: Recent applications and prospects," Working Paper Series in Economics 158, Karlsruhe Institute of Technology (KIT), Department of Economics and Management.
  39. Greenwald, Daniel L. & Howell, Sabrina T. & Li, Cangyuan & Yimfor, Emmanuel, 2024. "Regulatory arbitrage or random errors? Implications of race prediction algorithms in fair lending analysis," Journal of Financial Economics, Elsevier, vol. 157(C).
  40. Elisa Macchi, 2022. "Worth your weight: experimental evidence on the benefits of obesity in low-income countries," ECON - Working Papers 401, Department of Economics - University of Zurich.
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