Rise of the Machines: The Impact of Automated Underwriting

References

• Adams W, Einav L, Levin J (2009) Liquidity constraints and imperfect information in subprime lending. Amer. Econom. Rev. 99(1):49–84.Crossref, Google Scholar
• Adelino M, Ivanov I, Smolyansky M (2019) Humans vs machines: Soft and hard information in corporate loan pricing. Working paper, Duke University, Durham, NC.Google Scholar
• Agarwal S, Ben-David I (2018) Loan prospecting and the loss of soft information. J. Financial Econom. 129(3):608–628.Crossref, Google Scholar
• Agarwal S, Hauswald R (2010) Distance and private information in lending. Rev. Financial Stud. 23(7):2757–2788.Crossref, Google Scholar
• Agarwal S, Alok S, Ghosh P, Gupta S (2019) Financial inclusion and alternate credit scoring: Role of big data and machine learning in Fintech. Working paper.Google Scholar
• Baines AP, Courchane MJ (2014) Fair lending: Implications for the indirect auto finance market. Report, American Financial Services Association (AFSA), Charles River Associates, Washington, DC.Google Scholar
• Balyuk T (2019) Financial innovation and borrowers: Evidence from peer-to-peer lending. Working paper, Emory University, Atlanta.Google Scholar
• Bartlett RP, Morse A, Stanton R, Wallace N (2019) Consumer-lending discrimination in the fintech era. Working paper, UC Berkeley School of Law, Berkeley, CA.Google Scholar
• Berg T (2015) Playing the devil’s advocate: The causal effect of risk management on loan quality. Rev. Financial Stud. 28(12):3367–3406.Crossref, Google Scholar
• Berg T, Fuster A, Puri M (2021) Fintech lending. NBER Working Paper No. 29421, National Bureau of Economic Research, Cambridge, MA.Google Scholar
• Berg T, Saunders A, Steffen S (2016) The total cost of corporate borrowing in the loan market: Don’t ignore the fees. J. Finance 71(3):1357–1392.Crossref, Google Scholar
• Berg T, Burg V, Gombović A, Puri M (2020) On the rise of fintechs: Credit scoring using digital footprints. Rev. Financial Stud. 33(7):2845–2897.Crossref, Google Scholar
• Bhutta N, Bricker J, Chang AC, Dettling LJ, Goodman S, Hsu JW, Moore KB, et al. (2020) Changes in US family finances from 2016 to 2019: Evidence from the survey of consumer finances. Federal Reserve Bull. 106(5).Crossref, Google Scholar
• Brogaard J, Ringgenberg M, Rösch D (2020) Does floor trading matter? Working paper, The University of Utah, Salt Lake City.Google Scholar
• Brown J, Jansen M (2019) Consumer protection laws in auto lending. Working paper, Louisiana Tech University, Ruston, LA.Google Scholar
• Chan TY, Li J, Pierce L (2014) Compensation and peer effects in competing sales teams. Management Sci. 60(8):1965–1984.Link, Google Scholar
• Chappell G, Harreis H, Havas A, Nuzzo A, Pepanides T, Rowshankish K (2018) The lending revolution: How digital credit is changing banks from the inside. Technical report, McKinsey & Company, New York.Google Scholar
• Chui M, Manyika J, Miremadi M (2016) Where machines could replace humans, and where they can’t (yet). Technical report, McKinsey & Company, New York.Google Scholar
• Cole S, Kanz M, Klapper L (2015) Incentivizing calculated risk-taking: Evidence from an experiment with commercial bank loan officers. J. Finance 70(2):537–575.Crossref, Google Scholar
• Costello AM, Down AK, Mehta MN (2020) Machine + man: A field experiment on the role of discretion in augmenting AI-based lending models. J. Accounting Econom. 70(2–3):101360.Crossref, Google Scholar
• D’Acunto F, Ghosh P, Jain R, Rossi AG (2020) How costly are cultural biases? Working paper, Georgetown University, Washington, DC.Google Scholar
• DeFusco A, Tang H, Yannelis C (2021) Measuring the welfare effects of adverse selection in consumer credit markets. NBER Working Paper No. 29270, National Bureau of Economic Research, Cambridge, MA.Google Scholar
• Di Maggio M, Yao V (2020) Fintech borrowers: Lax-screening or cream-skimming? NBER Working Paper No. 28021, National Bureau of Economic Research, Cambridge, MA.Google Scholar
• Dobbie W, Liberman A, Paravisini D, Pathania V (2021) Measuring bias in consumer lending. Rev. Econom. Stud. 88(6):2799–2832.Crossref, Google Scholar
• Drexler A, Schoar A (2014) Do relationships matter? Evidence from loan officer turnover. Management Sci. 60(11):2722–2736.Link, Google Scholar
• Dynan K, Elmendorf D, Sichel D (2012) The evolution of household income volatility. B.E. J. Econom. Anal. Policy 12(2).Google Scholar
• Einav L, Jenkins M, Levin J (2012) Contract pricing in consumer credit markets. Econometrica 80(4):1387–1432.Crossref, Google Scholar
• Einav L, Jenkins M, Levin J (2013) The impact of credit scoring on consumer lending. RAND J. Econom. 44(2):249–274.Crossref, Google Scholar
• Finlay S (2008) Lenders deactivate automated decision-making. Ward’s Auto (May 2), https://www.wardsauto.com/news-analysis/lenders-deactivate-automated-decision-making.Google Scholar
• Fu R, Huang Y, Singh PV (2021) Crowds, lending, machine, and bias. Inform. Systems Res. 32(1):72–92.Link, Google Scholar
• Fuster A, Goldsmith-Pinkham P, Ramadorai T, Walther A (2020) Predictably unequal? The effects of machine learning on credit markets. Working paper, CEPR, London.Google Scholar
• Fuster A, Plosser M, Schnabl P, Vickery J (2019) The role of technology in mortgage lending. Rev. Financial Stud. 32(5):1854–1899.Crossref, Google Scholar
• Goldstein I, Jiang W, Karolyi GA (2019) To fintech and beyond. Rev. Financial Stud. 32(5):1647–1661.Crossref, Google Scholar
• Griffin JM, Maturana G (2016) Who facilitated misreporting in securitized loans? Rev. Financial Stud. 29(2):384–419.Crossref, Google Scholar
• Heider F, Inderst R (2012) Loan prospecting. Rev. Financial Stud. 25(8):2381–2415.Crossref, Google Scholar
• Hertzberg A, Liberti JM, Paravisini D (2010) Information and incentives inside the firm: Evidence from loan officer rotation. J. Finance 65(3):795–828.Crossref, Google Scholar
• Iyer R, Khwaja AI, Luttmer EF, Shue K (2016) Screening peers softly: Inferring the quality of small borrowers. Management Sci. 62(6):1554–1577.Link, Google Scholar
• Jansen M, Kruger S, Maturana G (2021a) Dealer financing in the subprime auto market: Markups and implicit subsidies. Working paper, The University of Utah, Salt Lake City.Google Scholar
• Jansen M, Nguyen H, Pierce L, Snyder J (2021b) Product sales incentive spillovers to the lending market. Working paper, The University of Utah, Salt Lake City.Google Scholar
• Johansson S, Vogelgesang U (2016) Automating the insurance industry. Technical report, The McKinsey Quarterly, New York.Google Scholar
• Kahneman D (1973) Attention and Effort, vol. 1063 (Prentice-Hall, Upper Saddle River, NJ).Google Scholar
• Keys BJ, Mukherjee T, Seru A, Vig V (2010) Did securitization lead to lax screening? Evidence from subprime loans. Quart. J. Econom. 125(1):307–362.Crossref, Google Scholar
• Larkin I (2014) The cost of high-powered incentives: Employee gaming in enterprise software sales. J. Labor Econom. 32(2):199–227.Crossref, Google Scholar
• Liberti JM, Petersen MA (2019) Information: Hard and soft. Rev. Corporate Finance Stud. 8(1):1–41.Crossref, Google Scholar
• Liebman JB, Mahoney N (2017) Do expiring budgets lead to wasteful year-end spending? Evidence from federal procurement. Amer. Econom. Rev. 107(11):3510–3549.Crossref, Google Scholar
• Lipshitz R, Shulimovitz N (2007) Intuition and emotion in bank loan officers’ credit decisions. J. Cognition Engrg. Decision Making 1(2):212–233.Crossref, Google Scholar
• Low D, Lanning J, Salz T, Grunewald A (2020) Auto dealer loan intermediation: Consumer behavior and competitive effects. NBER Working Paper No. 28136, National Bureau of Economic Research, Cambridge, MA.Google Scholar
• Morse A, Pence K (2020) Technological innovation and discrimination in household finance. NBER Working Paper No. 26739, National Bureau of Economic Research, Cambridge, MA.Google Scholar
• Philippon T (2019) On fintech and financial inclusion. NBER Working Paper No. 26330, National Bureau of Economic Research, Cambridge, MA.Google Scholar
• Ravina E (2019) Love & loans: The effect of beauty and personal characteristics in credit markets. Working paper, Federal Reserve Bank of Chicago, Chicago.Google Scholar
• Sutherland AG (2020) Technology is changing lending: Implications for research. J. Accounting Econom. 70(2–3):101361.Crossref, Google Scholar
• Tang H (2019) Peer-to-peer lenders vs. banks: Substitutes or complements? Rev. Financial Stud. 32(5):1900–1938.Crossref, Google Scholar
• Tracey J (2020) 2020 Non-prime automotive financing survey. Technical report, National Automotive Finance Association, Tallahassee, FL.Google Scholar
• Tzioumis K, Gee M (2013) Nonlinear incentives and mortgage officers’ decisions. J. Financial Econom. 107(2):436–453.Crossref, Google Scholar
• Udell GF (1989) Loan quality, commercial loan review and loan officer contracting. J. Bank. Finance 13(3):367–382.Crossref, Google Scholar
• Vallée B, Zeng Y (2019) Marketplace lending: A new banking paradigm? Rev. Financial Stud. 32(5):1939–1982.Crossref, Google Scholar
• Wilson JA, DiChiara SL (2005) The changing landscape of indirect automobile lending. Technical report, Federal Deposit Insurance Corporation, Washington, DC.Google Scholar
• Zabritski M (2021) State of the automotive finance market, fourth quarter 2021. Technical report, Experian, Costa Mesa, CA.Google Scholar