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Predictably Unequal? The Effects of Machine Learning on Credit Markets
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Cited by:
- Will Dobbie & Andres Liberman & Daniel Paravisini & Vikram Pathania, 2021.
"Measuring Bias in Consumer Lending [Loan Prospecting and the Loss of Soft Information],"
The Review of Economic Studies, Review of Economic Studies Ltd, vol. 88(6), pages 2799-2832.
- Will Dobbie & Andres Liberman & Daniel Paravisini & Vikram Pathania, 2018. "Measuring Bias in Consumer Lending," Working Papers 623, Princeton University, Department of Economics, Industrial Relations Section..
- Will Dobbie & Andres Liberman & Daniel Paravisini & Vikram Pathania, 2018. "Measuring Bias in Consumer Lending," NBER Working Papers 24953, National Bureau of Economic Research, Inc.
- Dobbie, Will & Liberman, Andres & Paravisini, Daniel & Pathania, Vikram S., 2021. "Measuring bias in consumer lending," LSE Research Online Documents on Economics 104984, London School of Economics and Political Science, LSE Library.
- Dobbie, Will & Liberman, Andres & Paravisini, Daniel & Pathania, Vikram, 2019. "Measuring Bias in Consumer Lending," Working Paper Series rwp19-029, Harvard University, John F. Kennedy School of Government.
- Christophe Hurlin & Christophe Perignon & Sébastien Saurin, 2021.
"The Fairness of Credit Scoring Models,"
Working Papers
hal-03501452, HAL.
- Christophe Hurlin & Christophe P'erignon & S'ebastien Saurin, 2022. "The Fairness of Credit Scoring Models," Papers 2205.10200, arXiv.org, revised Feb 2024.
- 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.
- Nikita Kozodoi & Johannes Jacob & Stefan Lessmann, 2021. "Fairness in Credit Scoring: Assessment, Implementation and Profit Implications," Papers 2103.01907, arXiv.org, revised Jun 2022.
- Kim Long Tran & Hoang Anh Le & Thanh Hien Nguyen & Duc Trung Nguyen, 2022. "Explainable Machine Learning for Financial Distress Prediction: Evidence from Vietnam," Data, MDPI, vol. 7(11), pages 1-12, November.
- Andrés Alonso & José Manuel Carbó, 2022. "Accuracy of explanations of machine learning models for credit decisions," Working Papers 2222, Banco de España.
- Agarwal, Shivam & Muckley, Cal B. & Neelakantan, Parvati, 2023. "Countering racial discrimination in algorithmic lending: A case for model-agnostic interpretation methods," Economics Letters, Elsevier, vol. 226(C).
- Joseph, Andreas, 2019.
"Parametric inference with universal function approximators,"
Bank of England working papers
784, Bank of England, revised 22 Jul 2020.
- Andreas Joseph, 2019. "Parametric inference with universal function approximators," Papers 1903.04209, arXiv.org, revised Oct 2020.
- Douglas Kiarelly Godoy de Araujo, 2023.
"gingado: a machine learning library focused on economics and finance,"
IFC Bulletins chapters, in: Bank for International Settlements (ed.), Data science in central banking: applications and tools, volume 59,
Bank for International Settlements.
- Douglas Kiarelly Godoy de Araujo, 2023. "gingado: a machine learning library focused on economics and finance," BIS Working Papers 1122, Bank for International Settlements.
- Gianmarco Bet & Francesco Dainelli & Eugenio Fabrizi, 2023. "The financial health of a company and the risk of its default: Back to the future," Papers 2302.10140, arXiv.org.
- Andreas Fuster & Matthew Plosser & Philipp Schnabl & James Vickery, 2019.
"The Role of Technology in Mortgage Lending,"
The Review of Financial Studies, Society for Financial Studies, vol. 32(5), pages 1854-1899.
- Schnabl, Philipp & Vickery, James & Plosser, Matthew, 2018. "The Role of Technology in Mortgage Lending," CEPR Discussion Papers 12961, C.E.P.R. Discussion Papers.
- Andreas Fuster & Matthew Plosser & Philipp Schnabl & James Vickery, 2018. "The role of technology in mortgage lending," Staff Reports 836, Federal Reserve Bank of New York.
- Andreas Fuster & Matthew Plosser & Philipp Schnabl & James Vickery, 2018. "The Role of Technology in Mortgage Lending," NBER Working Papers 24500, National Bureau of Economic Research, Inc.
- Xie, Xueyan & Zhu, Xiaoyang, 2022. "FinTech and capital allocation efficiency: Another equity-efficiency dilemma?," Global Finance Journal, Elsevier, vol. 53(C).
- Mathieu Aubry & Roman Kräussl & Gustavo Manso & Christophe Spaenjers, 2023.
"Biased Auctioneers,"
Journal of Finance, American Finance Association, vol. 78(2), pages 795-833, April.
- Aubry, Mathieu & Kräussl, Roman & Manso, Gustavo & Spaenjers, Christophe, 2023. "Biased auctioneers," CFS Working Paper Series 692, Center for Financial Studies (CFS).
- Gambacorta, Leonardo & Beck, Thorsten & Huang, Yiping & Li, Zhenhua & Qiu, Han, 2022.
"Big techs, QR code payments and financial inclusion,"
CEPR Discussion Papers
17297, C.E.P.R. Discussion Papers.
- Thorsten Beck & Leonardo Gambacorta & Yiping Huang & Zhenhua Li & Han Qiu, 2022. "Big techs, QR code payments and financial inclusion," BIS Working Papers 1011, Bank for International Settlements.
- Zhang, Xiaoyan & Li, Jinbao & Xiang, Dong & Worthington, Andrew C., 2023. "Digitalization, financial inclusion, and small and medium-sized enterprise financing: Evidence from China," Economic Modelling, Elsevier, vol. 126(C).
- Koefer, Franziska & Lemken, Ivo & Pauls, Jan, 2023. "Fairness in algorithmic decision systems: A microfinance perspective," EIF Working Paper Series 2023/88, European Investment Fund (EIF).
- Pelin Berkmen & Ms. Kimberly Beaton & Mr. Dmitry Gershenson & Mr. Javier Arze del Granado & Kotaro Ishi & Miss Marie S Kim & Emanuel Kopp & Mrs. Marina V Rousset, 2019. "Fintech in Latin America and the Caribbean: Stocktaking," IMF Working Papers 2019/071, International Monetary Fund.
- 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..
- Kozodoi, Nikita & Jacob, Johannes & Lessmann, Stefan, 2022. "Fairness in credit scoring: Assessment, implementation and profit implications," European Journal of Operational Research, Elsevier, vol. 297(3), pages 1083-1094.
- Christopher Cassion & Yuhang Qian & Constant Bossou & Margareta Ackerman, 2021. "Investors Embrace Gender Diversity, Not Female CEOs: The Role of Gender in Startup Fundraising," Papers 2101.12008, arXiv.org.
- Natee Amornsiripanitch, 2023. "The Age Gap in Mortgage Access," Working Papers 23-03, Federal Reserve Bank of Philadelphia.
- Victor Duarte & Diogo Duarte & Dejanir H. Silva, 2024. "Machine Learning for Continuous-Time Finance," CESifo Working Paper Series 10909, CESifo.
- D'Acunto, Francesco & Ghosh, Pulak & Jain, Rajiv & Rossi, Alberto G., 2022. "How costly are cultural biases?," LawFin Working Paper Series 34, Goethe University, Center for Advanced Studies on the Foundations of Law and Finance (LawFin).
- Wang, Ke-Liang & Sun, Ting-Ting & Xu, Ru-Yu & Miao, Zhuang & Cheng, Yun-He, 2022. "How does internet development promote urban green innovation efficiency? Evidence from China," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
- 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.
- Bracke, Philippe & Datta, Anupam & Jung, Carsten & Sen, Shayak, 2019. "Machine learning explainability in finance: an application to default risk analysis," Bank of England working papers 816, Bank of England.
- Lydia T. Liu & Ashia Wilson & Nika Haghtalab & Adam Tauman Kalai & Christian Borgs & Jennifer Chayes, 2019. "The Disparate Equilibria of Algorithmic Decision Making when Individuals Invest Rationally," Papers 1910.04123, arXiv.org.
- Fleck, Johannes & Monninger, Adrian, 2020. "Culture and portfolios: trust, precautionary savings and home ownership," Working Paper Series 2457, European Central Bank.
- Tobias Berg & Valentin Burg & Ana Gombović & Manju Puri, 2020.
"On the Rise of FinTechs: Credit Scoring Using Digital Footprints,"
Review of Financial Studies, Society for Financial Studies, vol. 33(7), pages 2845-2897.
- Tobias Berg & Valentin Burg & Ana Gombović & Manju Puri, 2018. "On the Rise of FinTechs – Credit Scoring using Digital Footprints," NBER Working Papers 24551, National Bureau of Economic Research, Inc.
- Alonso-Robisco, Andrés & Carbó, José Manuel, 2022. "Can machine learning models save capital for banks? Evidence from a Spanish credit portfolio," International Review of Financial Analysis, Elsevier, vol. 84(C).
- 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.
- 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.