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Too Little Lending: A Problem of Symmetric Information

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  • de Meza, David
  • Reito, Francesco

Abstract

In a simple model of the consumer credit market, we show that asymmetric information may enhance welfare relative to full information. The advantage of hidden types is that solvency and default constraints are relaxed, allowing beneficial lending. Prohibiting the use of observable information may therefore be efficient. It is also shown that rather than the nature of borrower heterogeneity, whether asymmetric information involves adverse or advantageous selection depends on the magnitude of default costs. Even when selection is adverse, lending and welfare may be higher under asymmetric information than under symmetric information.

Suggested Citation

  • de Meza, David & Reito, Francesco, 2019. "Too Little Lending: A Problem of Symmetric Information," MPRA Paper 93700, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:93700
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    References listed on IDEAS

    as
    1. de Meza, David & Webb, David C., 2017. "False diagnoses: pitfalls of testing for asymmetric information in insurance markets," LSE Research Online Documents on Economics 65744, London School of Economics and Political Science, LSE Library.
    2. Eduardo M. Azevedo & Daniel Gottlieb, 2017. "Perfect Competition in Markets With Adverse Selection," Econometrica, Econometric Society, vol. 85, pages 67-105, January.
    3. Scott Fay & Erik Hurst & Michelle J. White, 2002. "The Household Bankruptcy Decision," American Economic Review, American Economic Association, vol. 92(3), pages 706-718, June.
    4. Giuseppe Coco & David De Meza, 2009. "In Defense of Usury Laws," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 41(8), pages 1691-1703, December.
    5. Neale Mahoney & E. Glen Weyl, 2017. "Imperfect Competition in Selection Markets," The Review of Economics and Statistics, MIT Press, vol. 99(4), pages 637-651, July.
    6. 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.
    7. Heski Bar-Isaac & Ian Jewitt & Clare Leaver, 2021. "Adverse selection, efficiency and the structure of information," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 72(2), pages 579-614, September.
    8. Neil Bhutta & Paige Marta Skiba & Jeremy Tobacman, 2015. "Payday Loan Choices and Consequences," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 47(2-3), pages 223-260, March.
    9. Roman Inderst, 2008. "'Irresponsible Lending' With A Better Informed Lender," Economic Journal, Royal Economic Society, vol. 118(532), pages 1499-1519, October.
    10. 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.
    11. de Meza, David & Webb, David, 2000. "Does credit rationing imply insufficient lending?," Journal of Public Economics, Elsevier, vol. 78(3), pages 215-234, November.
    12. de Meza, David & Webb, David C, 2001. "Advantageous Selection in Insurance Markets," RAND Journal of Economics, The RAND Corporation, vol. 32(2), pages 249-262, Summer.
    13. David Meza & David C. Webb, 2017. "False Diagnoses: Pitfalls of Testing For Asymmetric Information In Insurance Markets," Economic Journal, Royal Economic Society, vol. 127(606), pages 2358-2377, November.
    14. David de Meza & David C. Webb, 2017. "False Diagnoses: Pitfalls of Testing for Asymmetric Information In Insurance Markets," Economic Journal, Royal Economic Society, vol. 127(606), pages 2358-2377.
    15. David de Meza & David C. Webb, 1987. "Too Much Investment: A Problem of Asymmetric Information," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 102(2), pages 281-292.
    16. Michael Rothschild & Joseph Stiglitz, 1976. "Equilibrium in Competitive Insurance Markets: An Essay on the Economics of Imperfect Information," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 90(4), pages 629-649.
    17. Jonathan Zinman, 2014. "Consumer Credit: Too Much or Too Little (or Just Right)?," The Journal of Legal Studies, University of Chicago Press, vol. 43(S2), pages 209-237.
    18. 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.
    19. 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.
    20. 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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    More about this item

    Keywords

    consumer credit; overlending; credit rationing.;
    All these keywords.

    JEL classification:

    • D40 - Microeconomics - - Market Structure, Pricing, and Design - - - General
    • D6 - Microeconomics - - Welfare Economics
    • D8 - Microeconomics - - Information, Knowledge, and Uncertainty
    • H2 - Public Economics - - Taxation, Subsidies, and Revenue

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