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How important is the credit channel? An empirical study of the US banking crisis

We examine whether by adding a credit channel to the standard New Keynesian model we can account better for the behaviour of US macroeconomic data up to and including the banking crisis. We use the method of indirect inference which evaluates statistically how far a model's simulated behaviour mimics the behaviour of the data. We find that the model with credit dominates the standard model by a substantial margin. Credit shocks are the main contributor to the variation in the output gap during the crisis.

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Paper provided by Cardiff University, Cardiff Business School, Economics Section in its series Cardiff Economics Working Papers with number E2012/22.

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Length: 32 pages
Date of creation: Aug 2012
Date of revision: Dec 2013
Handle: RePEc:cdf:wpaper:2012/22
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  1. Townsend, Robert M., 1979. "Optimal contracts and competitive markets with costly state verification," Journal of Economic Theory, Elsevier, vol. 21(2), pages 265-293, October.
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  4. Allan W. Gregory & Gregor W. Smith, 1991. "Calibration in Macroeconomics," Working Papers 826, Queen's University, Department of Economics.
  5. Fiorella De Fiore & Oreste Tristani, 2013. "Optimal Monetary Policy in a Model of the Credit Channel," Economic Journal, Royal Economic Society, vol. 123(571), pages 906-931, 09.
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  8. Le, Vo Phuong Mai & Meenagh, David & Minford, Patrick & Wickens, Michael R., 2012. "Testing DSGE models by Indirect inference and other methods: some Monte Carlo experiments," CEPR Discussion Papers 9056, C.E.P.R. Discussion Papers.
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  11. Gertler, Mark & Karadi, Peter, 2011. "A model of unconventional monetary policy," Journal of Monetary Economics, Elsevier, vol. 58(1), pages 17-34, January.
  12. Gourieroux, C. & Monfort, A. & Renault, E., 1992. "Indirect Inference," Papers 92.279, Toulouse - GREMAQ.
  13. Smith, A A, Jr, 1993. "Estimating Nonlinear Time-Series Models Using Simulated Vector Autoregressions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 8(S), pages S63-84, Suppl. De.
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  15. Michel Juillard, 2001. "DYNARE: A program for the simulation of rational expectation models," Computing in Economics and Finance 2001 213, Society for Computational Economics.
  16. Urban Jermann & Vincenzo Quadrini, 2012. "Erratum: Macroeconomic Effects of Financial Shocks," American Economic Review, American Economic Association, vol. 102(2), pages 1186-1186, April.
  17. Liu, Chunping & Minford, Patrick, 2012. "Comparing behavioural and rational expectations for the US post-war economy," CEPR Discussion Papers 9132, C.E.P.R. Discussion Papers.
  18. Gregory, Allan W & Smith, Gregor W, 1991. "Calibration as Testing: Inference in Simulated Macroeconomic Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 9(3), pages 297-303, July.
  19. Le, Vo Phuong Mai & Meenagh, David & Minford, Patrick, 2012. "What causes banking crises? An empirical investigation," CEPR Discussion Papers 9057, C.E.P.R. Discussion Papers.
  20. Gertler, Mark & Kiyotaki, Nobuhiro, 2010. "Financial Intermediation and Credit Policy in Business Cycle Analysis," Handbook of Monetary Economics, in: Benjamin M. Friedman & Michael Woodford (ed.), Handbook of Monetary Economics, edition 1, volume 3, chapter 11, pages 547-599 Elsevier.
  21. Taylor, John B., 1993. "Discretion versus policy rules in practice," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 39(1), pages 195-214, December.
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