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Measuring the Welfare Cost of Asymmetric Information in Consumer Credit Markets

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  • Anthony A. DeFusco
  • Huan Tang
  • Constantine Yannelis

Abstract

Information asymmetries are known in theory to lead to inefficiently low credit provision, yet empirical estimates of the resulting welfare losses are scarce. This paper leverages a randomized experiment conducted by a large fintech lender to estimate welfare losses arising from asymmetric information in the market for online consumer credit. Building on methods from the insurance literature, we show how exogenous variation in interest rates can be used to estimate borrower demand and lender cost curves and recover implied welfare losses. While asymmetric information generates large equilibrium price distortions, we find only small overall welfare losses, particularly for high-credit-score borrowers.

Suggested Citation

  • Anthony A. DeFusco & Huan Tang & Constantine Yannelis, 2021. "Measuring the Welfare Cost of Asymmetric Information in Consumer Credit Markets," NBER Working Papers 29270, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberwo:29270
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    1. Orazio P. Attanasio & Pinelopi Koujianou Goldberg & Ekaterini Kyriazidou, 2008. "Credit Constraints In The Market For Consumer Durables: Evidence From Micro Data On Car Loans," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 49(2), pages 401-436, May.
    2. William Adams & Liran Einav & Jonathan Levin, 2009. "Liquidity Constraints and Imperfect Information in Subprime Lending," American Economic Review, American Economic Association, vol. 99(1), pages 49-84, March.
    3. 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.
    4. Thomas Philippon, 2016. "The FinTech Opportunity," NBER Working Papers 22476, National Bureau of Economic Research, Inc.
    5. Liran Einav & Amy Finkelstein & Neale Mahoney, 2021. "The IO of Selection Markets," NBER Working Papers 29039, National Bureau of Economic Research, Inc.
    6. Liran Einav & Amy Finkelstein & Mark R. Cullen, 2010. "Estimating Welfare in Insurance Markets Using Variation in Prices," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 125(3), pages 877-921.
    7. Liran Einav & Mark Jenkins & Jonathan Levin, 2012. "Contract Pricing in Consumer Credit Markets," Econometrica, Econometric Society, vol. 80(4), pages 1387-1432, July.
    8. Dean Karlan & Jonathan Zinman, 2009. "Observing Unobservables: Identifying Information Asymmetries With a Consumer Credit Field Experiment," Econometrica, Econometric Society, vol. 77(6), pages 1993-2008, November.
    9. Rob Alessie & Stefan Hochguertel & Guglielmo Weber, 2005. "Consumer Credit: Evidence From Italian Micro Data," Journal of the European Economic Association, MIT Press, vol. 3(1), pages 144-178, March.
    10. Buchak, Greg & Matvos, Gregor & Piskorski, Tomasz & Seru, Amit, 2018. "Fintech, regulatory arbitrage, and the rise of shadow banks," Journal of Financial Economics, Elsevier, vol. 130(3), pages 453-483.
    11. Liran Einav & Amy Finkelstein, 2011. "Selection in Insurance Markets: Theory and Empirics in Pictures," Journal of Economic Perspectives, American Economic Association, vol. 25(1), pages 115-138, Winter.
    12. Dean S. Karlan & Jonathan Zinman, 2008. "Credit Elasticities in Less-Developed Economies: Implications for Microfinance," American Economic Review, American Economic Association, vol. 98(3), pages 1040-1068, June.
    13. Sumit Agarwal & Souphala Chomsisengphet & Chunlin Liu, 2010. "The Importance of Adverse Selection in the Credit Card Market: Evidence from Randomized Trials of Credit Card Solicitations," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 42(4), pages 743-754, June.
    14. Anthony A. DeFusco & Andrew Paciorek, 2017. "The Interest Rate Elasticity of Mortgage Demand: Evidence from Bunching at the Conforming Loan Limit," American Economic Journal: Economic Policy, American Economic Association, vol. 9(1), pages 210-240, February.
    15. Sumit Agarwal & Souphala Chomsisengphet & Neale Mahoney & Johannes Stroebel, 2018. "Do Banks Pass through Credit Expansions to Consumers Who want to Borrow?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 133(1), pages 129-190.
    16. Marco Di Maggio & Vincent Yao, 2021. "Fintech Borrowers: Lax Screening or Cream-Skimming?," The Review of Financial Studies, Society for Financial Studies, vol. 34(10), pages 4565-4618.
    17. Boris Vallée & Yao Zeng, 2019. "Marketplace Lending: A New Banking Paradigm?," The Review of Financial Studies, Society for Financial Studies, vol. 32(5), pages 1939-1982.
    18. Andrew Hertzberg & Andres Liberman & Daniel Paravisini, 2018. "Screening on Loan Terms: Evidence from Maturity Choice in Consumer Credit," The Review of Financial Studies, Society for Financial Studies, vol. 31(9), pages 3532-3567.
    19. David B. Gross & Nicholas S. Souleles, 2002. "Do Liquidity Constraints and Interest Rates Matter for Consumer Behavior? Evidence from Credit Card Data," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 117(1), pages 149-185.
    20. Lei Liu & Guangli Lu & Wei Xiong, 2022. "The Big Tech Lending Model," NBER Working Papers 30160, National Bureau of Economic Research, Inc.
    21. Giulio Cornelli & Jon Frost & Leonardo Gambacorta & Raghavendra Rau & Robert Wardrop & Tania Ziegler, 2020. "Fintech and big tech credit: a new database," BIS Working Papers 887, Bank for International Settlements.
    22. Pierre-Andre Chiappori & Bernard Salanie, 2000. "Testing for Asymmetric Information in Insurance Markets," Journal of Political Economy, University of Chicago Press, vol. 108(1), pages 56-78, February.
    23. Johannes Stroebel, 2016. "Asymmetric Information about Collateral Values," Journal of Finance, American Finance Association, vol. 71(3), pages 1071-1112, June.
    24. Sumit Agarwal & Souphala Chomsisengphet & Chunlin Liu, 2010. "The Importance of Adverse Selection in the Credit Card Market: Evidence from Randomized Trials of Credit Card Solicitations," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 42(4), pages 743-754, June.
    25. Will Dobbie & Paige Marta Skiba, 2013. "Information Asymmetries in Consumer Credit Markets: Evidence from Payday Lending," American Economic Journal: Applied Economics, American Economic Association, vol. 5(4), pages 256-282, October.
    26. Stiglitz, Joseph E & Weiss, Andrew, 1981. "Credit Rationing in Markets with Imperfect Information," American Economic Review, American Economic Association, vol. 71(3), pages 393-410, June.
    27. Dwight M. Jaffee & Thomas Russell, 1976. "Imperfect Information, Uncertainty, and Credit Rationing," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 90(4), pages 651-666.
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    Cited by:

    1. Tobias Berg & Andreas Fuster & Manju Puri, 2022. "FinTech Lending," Annual Review of Financial Economics, Annual Reviews, vol. 14(1), pages 187-207, November.
    2. Pan, Xiongfeng & Wang, Mengyang & Li, Mengna, 2023. "Low-carbon policy and industrial structure upgrading: Based on the perspective of strategic interaction among local governments," Energy Policy, Elsevier, vol. 183(C).
    3. Yannelis, Constantine & Zhang, Anthony Lee, 2023. "Competition and selection in credit markets," Journal of Financial Economics, Elsevier, vol. 150(2).
    4. Liran Einav & Amy Finkelstein, 2023. "Empirical analyses of selection and welfare in insurance markets: a self-indulgent survey," The Geneva Risk and Insurance Review, Palgrave Macmillan;International Association for the Study of Insurance Economics (The Geneva Association), vol. 48(2), pages 167-191, September.

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    More about this item

    JEL classification:

    • D14 - Microeconomics - - Household Behavior - - - Household Saving; Personal Finance
    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • G23 - Financial Economics - - Financial Institutions and Services - - - Non-bank Financial Institutions; Financial Instruments; Institutional Investors
    • G5 - Financial Economics - - Household Finance

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