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Measuring Bias in Consumer Lending

Citations

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Cited by:

  1. 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.
  2. Tobias Berg & Andreas Fuster & Manju Puri, 2022. "FinTech Lending," Annual Review of Financial Economics, Annual Reviews, vol. 14(1), pages 187-207, November.
  3. Christophe Hurlin & Christophe Perignon & Sébastien Saurin, 2021. "The Fairness of Credit Scoring Models," Working Papers hal-03501452, HAL.
  4. Bertoletti, Lucía & Borraz, Fernando & Sanroman, Graciela, 2024. "Consumer Debt and Poverty: the Default Risk Gap," GLO Discussion Paper Series 1439, Global Labor Organization (GLO).
  5. 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.
  6. 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).
  7. 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.
  8. 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.
  9. Peter Ganong & Damon Jones & Pascal J. Noel & Fiona E. Greig & Diana Farrell & Chris Wheat, 2020. "Wealth, Race, and Consumption Smoothing of Typical Income Shocks," NBER Working Papers 27552, National Bureau of Economic Research, Inc.
  10. 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).
  11. 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.
  12. 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.
  13. 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.
  14. 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.
  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. 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.
  17. Laura Blattner & Scott Nelson, 2021. "How Costly is Noise? Data and Disparities in Consumer Credit," Papers 2105.07554, arXiv.org.
  18. 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.
  19. 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.
  20. Alperovych, Yan & Divakaruni, Anantha & Le Grand, François, 2022. "FinTech Lending under Austerity," SocArXiv atsk9, Center for Open Science.
  21. 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.
  22. 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.
  23. 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..
  24. 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.
  25. Boot, Arnoud & Hoffmann, Peter & Laeven, Luc & Ratnovski, Lev, 2021. "Fintech: what’s old, what’s new?," Journal of Financial Stability, Elsevier, vol. 53(C).
  26. 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).
  27. 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.
  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. Ajit Desai, 2023. "Machine Learning for Economics Research: When What and How?," Papers 2304.00086, arXiv.org, revised Apr 2023.
  30. Divakaruni, Anantha & Alperovych, Yan & Le Grand, François, 2022. "FinTech Lending under Austerity," OSF Preprints m4tps, Center for Open Science.
  31. 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.
  32. Xiyang Hu & Yan Huang & Beibei Li & Tian Lu, 2022. "Uncovering the Source of Machine Bias," Papers 2201.03092, arXiv.org.
  33. 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.
  34. 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.
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