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Credit shocks and cycles: a Bayesian calibration approach

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  • Roland Meeks

Abstract

This paper asks how well a general equilibrium agency cost model describes the dynamic relationship between credit variables and the business cycle. A Bayesian VAR is used to obtain probability intervals for empirical correlations. The agency cost model is found to predict the leading, countercyclical correlation of spreads with output when shocks arising from the credit market contribute to output fluctuations. The contribution of technology shocks is held at conventional RBC levels. Sensitivity analysis shows that moderate prior calibration uncertainty leads to significant dispersion in predicted correlations. Most predictive uncertainty arises from a single parameter.

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File URL: http://www.nuff.ox.ac.uk/economics/papers/2006/w11/meeks_creditWP.pdf
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Paper provided by University of Oxford, Department of Economics in its series Economics Series Working Papers with number 2006-W11.

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Date of creation: 01 May 2006
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Handle: RePEc:oxf:wpaper:2006-w11

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  1. Peter N. Ireland, 2002. "Endogenous Money or Sticky Prices?," NBER Working Papers 9390, National Bureau of Economic Research, Inc.
  2. Russell Cooper & Joao Ejarque, 1994. "Financial Intermediation and Aggregate Fluctuations: A Quantative Analysis," NBER Working Papers 4819, National Bureau of Economic Research, Inc.
  3. DeJong, David N & Ingram, Beth Fisher & Whiteman, Charles H, 1996. "A Bayesian Approach to Calibration," Journal of Business & Economic Statistics, American Statistical Association, vol. 14(1), pages 1-9, January.
  4. Greenwood, Jeremy & Hercowitz, Zvi & Huffman, Gregory W, 1988. "Investment, Capacity Utilization, and the Real Business Cycle," American Economic Review, American Economic Association, vol. 78(3), pages 402-17, June.
  5. André Lucas & Siem Jan Koopman, 2005. "Business and default cycles for credit risk," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(2), pages 311-323.
  6. L. Wade, 1988. "Review," Public Choice, Springer, vol. 58(1), pages 99-100, July.
  7. David N. DeJong & Beth F. Ingram & Charles H. Whiteman, 2000. "Keynesian impulses versus Solow residuals: identifying sources of business cycle fluctuations," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(3), pages 311-329.
  8. repec:cup:macdyn:v:4:y:2000:i:4:p:423-47 is not listed on IDEAS
  9. Mark Gertler & Cara S. Lown, 2000. "The Information in the High Yield Bond Spread for the Business Cycle: Evidence and Some Implications," NBER Working Papers 7549, National Bureau of Economic Research, Inc.
  10. 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.
  11. Cooper, Russell & Ejarque, Jo o, 2000. "Financial Intermediation And Aggregate Fluctuations: A Quantitative Analysis," Macroeconomic Dynamics, Cambridge University Press, vol. 4(04), pages 423-447, December.
  12. Li, Wenli & Sarte, Pierre-Daniel G., 2003. "Credit market frictions and their direct effects on U.S. manufacturing fluctuations," Journal of Economic Dynamics and Control, Elsevier, vol. 28(3), pages 419-443, December.
  13. Kwark, Noh-Sun, 2002. "Default risks, interest rate spreads, and business cycles: Explaining the interest rate spread as a leading indicator," Journal of Economic Dynamics and Control, Elsevier, vol. 26(2), pages 271-302, February.
  14. Canova, Fabio, 1995. "Sensitivity Analysis and Model Evaluation in Simulated Dynamic General Equilibrium Economies," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 36(2), pages 477-501, May.
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Cited by:
  1. Fabien Tripier & Kevin E. Beaubrun-Diant, 2010. "The Credit Spread Cycle with Matching Friction," 2010 Meeting Papers 76, Society for Economic Dynamics.

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