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Asymmetric Information and Imperfect Competition in Lending Markets

Listed author(s):
  • Crawford, Gregory S.

    (University of Zürich, CEPR and CAGE)

  • Pavanini, Nicola

    (University of Zürich)

  • Schivardi, Fabiano

    (Bocconi, EIEF and CEPR)

We measure the consequences of asymmetric information and imperfect competition in the Italian lending market. We show that banks’ optimal price response to an increase in adverse selection varies with competition. Exploiting matched data on loans and defaults, we estimate models of demand for credit, loan use, pricing, and firm default. We find evidence of adverse selection and evaluate its importance. While indeed prices rise in competitive markets and decline in concentrated ones, the former effect dominates, suggesting that while market power can mitigate the adverse effects of asymmetric information, mainstream concerns about its effects survive with imperfect competition.

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File URL: http://www2.warwick.ac.uk/fac/soc/economics/research/centres/cage/manage/publications/227-2015_crawford.pdf
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Paper provided by Competitive Advantage in the Global Economy (CAGE) in its series CAGE Online Working Paper Series with number 227.

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Date of creation: 2015
Handle: RePEc:cge:wacage:227
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  1. Albareto, Giorgio & Benvenuti, Michele & Mocetti, Sauro & Pagnini, Marcello & Rossi, Paola, 2011. "The Organization of Lending and the Use of Credit Scoring Techniques in Italian Banks," Journal of Financial Transformation, Capco Institute, vol. 32, pages 143-168.
  2. Enrica Detragiache & Paolo Garella & Luigi Guiso, 2000. "Multiple versus Single Banking Relationships: Theory and Evidence," Journal of Finance, American Finance Association, vol. 55(3), pages 1133-1161, 06.
  3. 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.
  4. N. Gregory Mankiw, 1986. "The Allocation of Credit and Financial Collapse," The Quarterly Journal of Economics, Oxford University Press, vol. 101(3), pages 455-470.
  5. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555, September.
  6. Giorgio Gobbi & Francesca Lotti, 2004. "Entry Decisions and Adverse Selection: An Empirical Analysis of Local Credit Markets," Journal of Financial Services Research, Springer;Western Finance Association, vol. 26(3), pages 225-244, December.
  7. Aviv Nevo, 2000. "Mergers with Differentiated Products: The Case of the Ready-to-Eat Cereal Industry," RAND Journal of Economics, The RAND Corporation, vol. 31(3), pages 395-421, Autumn.
  8. 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.
  9. Altman, Edward I. & Marco, Giancarlo & Varetto, Franco, 1994. "Corporate distress diagnosis: Comparisons using linear discriminant analysis and neural networks (the Italian experience)," Journal of Banking & Finance, Elsevier, vol. 18(3), pages 505-529, May.
  10. Fabio Panetta & Fabiano Schivardi & Matthew Shum, 2009. "Do Mergers Improve Information? Evidence from the Loan Market," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 41(4), pages 673-709, 06.
  11. Marcello Bofondi & Giorgio Gobbi, 2006. "Informational Barriers to Entry into Credit Markets," Review of Finance, European Finance Association, vol. 10(1), pages 39-67.
  12. Austan Goolsbee & Amil Petrin, 2004. "The Consumer Gains from Direct Broadcast Satellites and the Competition with Cable TV," Econometrica, Econometric Society, vol. 72(2), pages 351-381, 03.
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