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Information Asymmetries and an Endogenous Productivity Reversion Mechanism


  • Nicolas Figueroa

    (CEA-DII Universidad de Chile))

  • Oksana Leukhina

    (University of North Carolina)


Several studies among recent empirical work have suggested that the systematic behavior of lending standards over the business cycle, with laxer standards applied during expansions and tighter standards applied during recessions, may be responsible for driving economic fluctuations. We build a dynamic screening model with informational asymmetries in credit markets that rationalizes these findings and generates endogenous fluctuations of total output and productivity. When the capital stock is high, which evolves endogenously, liquidity is high for all types of producers, allowing even the unproductive type to meet the early payments on the loan, and thus making signals inferred from such payments less informative. The cost that accomplishes successful screening thus rises, resulting in the emergence of pooling contracts which allow financing of low productivity entrepreneurs. The composition among capital producers then sets off a recession. The opposite happens at troughs.

Suggested Citation

  • Nicolas Figueroa & Oksana Leukhina, 2008. "Information Asymmetries and an Endogenous Productivity Reversion Mechanism," 2008 Meeting Papers 563, Society for Economic Dynamics.
  • Handle: RePEc:red:sed008:563

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    References listed on IDEAS

    1. Lown, Cara & Morgan, Donald P., 2006. "The Credit Cycle and the Business Cycle: New Findings Using the Loan Officer Opinion Survey," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 38(6), pages 1575-1597, September.
    2. Kiyotaki, Nobuhiro & Moore, John, 1997. "Credit Cycles," Journal of Political Economy, University of Chicago Press, vol. 105(2), pages 211-248, April.
    3. Asea, Patrick K. & Blomberg, Brock, 1998. "Lending cycles," Journal of Econometrics, Elsevier, vol. 83(1-2), pages 89-128.
    4. Carlstrom, Charles T & Fuerst, Timothy S, 1997. "Agency Costs, Net Worth, and Business Fluctuations: A Computable General Equilibrium Analysis," American Economic Review, American Economic Association, vol. 87(5), pages 893-910, December.
    5. Pietro Reichlin & Paolo Siconolfi, 2004. "Optimal debt contracts and moral hazard along the business cycle," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 24(1), pages 75-109, July.
    6. Allen N. Berger, 2003. "The institutional memory hypothesis and the procyclicality on bank lending behavior," Proceedings 845, Federal Reserve Bank of Chicago.
    7. Bernanke, Ben & Gertler, Mark, 1989. "Agency Costs, Net Worth, and Business Fluctuations," American Economic Review, American Economic Association, vol. 79(1), pages 14-31, March.
    8. Giovanni Dell'Ariccia & Robert Marquez, 2006. "Lending Booms and Lending Standards," Journal of Finance, American Finance Association, vol. 61(5), pages 2511-2546, October.
    9. Berger, Allen N. & Udell, Gregory F., 2004. "The institutional memory hypothesis and the procyclicality of bank lending behavior," Journal of Financial Intermediation, Elsevier, vol. 13(4), pages 458-495, October.
    10. Rampini, Adriano A., 2004. "Entrepreneurial activity, risk, and the business cycle," Journal of Monetary Economics, Elsevier, vol. 51(3), pages 555-573, April.
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    JEL classification:

    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity


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