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Time Varying Uncertainty and the Credit Channel

  • Kevin D. Salyer
  • Gabriel Lee

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 four 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(or 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. Finally, we demonstrate that the magnitude of changes in uncertainty affecting the economy could be quite large; the implication

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Paper provided by Society for Computational Economics in its series Computing in Economics and Finance 2002 with number 137.

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Date of creation: 01 Jul 2002
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Handle: RePEc:sce:scecf2:137
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  1. Stephanie Schmitt-Grohe & Martin Uribe, 2005. "Optimal Inflation Stabilization in a Medium-Scale Macroeconomic Model," NBER Working Papers 11854, National Bureau of Economic Research, Inc.
  2. 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.
  3. Robert E. Lucas, Jr., 2000. "Inflation and Welfare," Econometrica, Econometric Society, vol. 68(2), pages 247-274, March.
  4. Obstfeld, Maurice & Rogoff, Kenneth, 2000. "New directions for stochastic open economy models," Journal of International Economics, Elsevier, vol. 50(1), pages 117-153, February.
  5. Russell Cooper & Joao Ejarque, 1994. "Financial Intermediation and Aggregate Fluctuations: A Quantative Analysis," NBER Working Papers 4819, National Bureau of Economic Research, Inc.
  6. 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.
  7. Alderson, Michael J. & Betker, Brian L., 1995. "Liquidation costs and capital structure," Journal of Financial Economics, Elsevier, vol. 39(1), pages 45-69, September.
  8. Greenwood, J. & Hercowitz, Z. & Krusell, P., 1996. "Long-Run Implications of Investment-Specific Technological Change," RCER Working Papers 420, University of Rochester - Center for Economic Research (RCER).
  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. 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.
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