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Time-Varying Uncertainty and the Credit Channel

  • Dorofeenko, Victor

    (Department of Economics and Finance, Institute for Advanced Studies, Vienna)

  • Lee, Gabriel S.

    (Department of Economics and Finance, Institute for Advanced Studies, Vienna)

  • Salyer, Kevin D.

    (Department of Economics, University of California)

We extend the Carlstrom and Fuerst (1997) agency cost model of business cycles by including time varying uncertainty in the technology shocks that affect capital production. We first demonstrate that standard linearization methods can be used to solve the model yet second moment effects still influence equilibrium characteristics. The effects of the persistence of uncertainty are then analyzed. Our primary findings fall into three broad categories. First, it is demonstrated that uncertainty affects the level of the steady-state of the economy so that welfare analyses of uncertainty that focus entirely on the variability of output (consumption) will understate the true costs of uncertainty. A second key result is that time varying uncertainty results in countercyclical bankruptcy rates – a finding which is consistent with the data and opposite the result in Carlstrom and Fuerst. Third, we show that persistence of uncertainty affects both quantitatively and qualitatively the behavior of the economy.

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File URL: http://www.ihs.ac.at/publications/eco/es-118.pdf
File Function: First version, 2002
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Paper provided by Institute for Advanced Studies in its series Economics Series with number 118.

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Length: 31 pages
Date of creation: Jul 2002
Date of revision:
Handle: RePEc:ihs:ihsesp:118
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  1. Stephanie Schmitt-Grohé & Martín Uribe, 2006. "Optimal Inflation Stabilization in a Medium-Scale Macroeconomic Model," Working Papers Central Bank of Chile 410, Central Bank of Chile.
  2. Greenwood, Jeremy & Hercowitz, Zvi & Krusell, Per, 1997. "Long-Run Implications of Investment-Specific Technological Change," American Economic Review, American Economic Association, vol. 87(3), pages 342-62, June.
  3. Collard, Fabrice & Juillard, Michel, 2001. "A Higher-Order Taylor Expansion Approach to Simulation of Stochastic Forward-Looking Models with an Application to a Nonlinear Phillips Curve Model," Computational Economics, Society for Computational Economics, vol. 17(2-3), pages 125-39, June.
  4. Schmitt-Grohé, Stephanie & Uribe, Martín, 2001. "Solving Dynamic General Equilibrium Models Using a Second-Order Approximation to the Policy Function," CEPR Discussion Papers 2963, C.E.P.R. Discussion Papers.
  5. Maurice Obstfeld and Kenneth Rogoff., 1999. "New Directions for Stochastic Open Economy Models," Center for International and Development Economics Research (CIDER) Working Papers C99-107, University of California at Berkeley.
  6. Alderson, Michael J. & Betker, Brian L., 1995. "Liquidation costs and capital structure," Journal of Financial Economics, Elsevier, vol. 39(1), pages 45-69, September.
  7. Russell Cooper & Joao Ejarque, 1994. "Financial Intermediation and Aggregate Fluctuations: A Quantative Analysis," NBER Working Papers 4819, National Bureau of Economic Research, Inc.
  8. 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.
  9. 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.
  10. Robert E. Lucas, Jr., 2000. "Inflation and Welfare," Econometrica, Econometric Society, vol. 68(2), pages 247-274, March.
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