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Business Cycle Effects of Credit and Technology Shocks in a DSGE Model with Firm Defaults

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  • Pesaran, M. Hashem

    ()
    (University of Cambridge)

  • Xu, TengTeng

    (Bank of Canada)

Abstract

This paper proposes a theoretical framework to analyze the impacts of credit and technology shocks on business cycle dynamics, where firms rely on banks and households for capital financing. Firms are identical ex ante but differ ex post due to different realizations of firm specific technology shocks, possible leading to default by some firms. The paper advances a new modelling approach for the analysis of financial intermediation and firm defaults that takes account of the financial implications of such defaults for both households and banks. Results from a calibrated version of the model highlight the role of financial institutions in the transmission of credit and technology shocks to the real economy. A positive credit shock, defined as a rise in the loan to deposit ratio, increases output, consumption, hours and productivity, and reduces the spread between loan and deposit rates. The effects of the credit shock tend to be highly persistent even without price rigidities and habit persistence in consumption behaviour.

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Bibliographic Info

Paper provided by Institute for the Study of Labor (IZA) in its series IZA Discussion Papers with number 6027.

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Length: 50 pages
Date of creation: Oct 2011
Date of revision:
Handle: RePEc:iza:izadps:dp6027

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Keywords: bank credit; financial intermediation; firm heterogeneity and defaults; interest rate spread; real financial linkages;

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References

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  1. Andrea Gerali & Stefano Neri & Luca Sessa & Federico M. Signoretti, 2010. "Credit and banking in a DSGE model of the euro area," Temi di discussione (Economic working papers) 740, Bank of Italy, Economic Research and International Relations Area.
  2. Eric Mayer & Oliver Hülsewig & Timo Wollmershäuser, 2007. "Bank Behaviour and the Cost Channel of Monetary Transmission," Money Macro and Finance (MMF) Research Group Conference 2006 98, Money Macro and Finance Research Group.
  3. David Aikman & Matthias Paustian, 2006. "Bank capital, asset prices and monetary policy," Bank of England working papers 305, Bank of England.
  4. Luca Dedola & Stefano Neri, 2006. "What does a technology shock do? A VAR analysis with model-based sign restrictions," Temi di discussione (Economic working papers) 607, Bank of Italy, Economic Research and International Relations Area.
  5. Fabio Canova & David Lopez-Salido & Claudio Michelacci, 2010. "The effects of technology shocks on hours and output: a robustness analysis," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(5), pages 755-773.
  6. Ravenna, Federico & Walsh, Carl E., 2006. "Optimal monetary policy with the cost channel," Journal of Monetary Economics, Elsevier, vol. 53(2), pages 199-216, March.
  7. Chowdhury, Ibrahim & Hoffmann, Mathias & Schabert, Andreas, 2004. "Inflation dynamics and the cost channel of monetary transmission," CFR Working Papers 04-01, University of Cologne, Centre for Financial Research (CFR).
  8. Ben S. Bernanke & Mark Gertler, 1995. "Inside the Black Box: The Credit Channel of Monetary Policy Transmission," NBER Working Papers 5146, National Bureau of Economic Research, Inc.
  9. Kevin Moran & Cesaire Meh, 2004. "Bank Capital, Agency Costs, and Monetary Policy," 2004 Meeting Papers 318, Society for Economic Dynamics.
  10. Helbling, Thomas & Huidrom, Raju & Kose, M. Ayhan & Otrok, Christopher, 2011. "Do credit shocks matter? A global perspective," European Economic Review, Elsevier, vol. 55(3), pages 340-353, April.
  11. Binder, Michael & Pesaran, M. Hashem, 1997. "Multivariate Linear Rational Expectations Models," Econometric Theory, Cambridge University Press, vol. 13(06), pages 877-888, December.
  12. Adrian, Tobias & Song Shin, Hyun, 2010. "Financial Intermediaries and Monetary Economics," Handbook of Monetary Economics, in: Benjamin M. Friedman & Michael Woodford (ed.), Handbook of Monetary Economics, edition 1, volume 3, chapter 12, pages 601-650 Elsevier.
  13. Gertler, Mark & Karadi, Peter, 2011. "A model of unconventional monetary policy," Journal of Monetary Economics, Elsevier, vol. 58(1), pages 17-34, January.
  14. Binder,M. & Pesaran,H.M., 1995. "Multivariate Rational Expectations Models and Macroeconomic Modelling: A Review and Some New Results," Cambridge Working Papers in Economics 9415, Faculty of Economics, University of Cambridge.
  15. Christiano, Lawrence & Ilut, Cosmin & Motto, Roberto & Rostagno, Massimo, 2008. "Monetary policy and stock market boom-bust cycles," Working Paper Series 0955, European Central Bank.
  16. Chen, Nan-Kuang, 2001. "Bank net worth, asset prices and economic activity," Journal of Monetary Economics, Elsevier, vol. 48(2), pages 415-436, October.
  17. Koop, Gary & Pesaran, M. Hashem & Potter, Simon M., 1996. "Impulse response analysis in nonlinear multivariate models," Journal of Econometrics, Elsevier, vol. 74(1), pages 119-147, September.
  18. 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.
  19. Alexius, Annika & Carlsson, Mikael, 2007. "Production function residuals, VAR technology shocks, and hours worked: Evidence from industry data," Economics Letters, Elsevier, vol. 96(2), pages 259-263, August.
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Cited by:
  1. Ivashchenko, S., 2013. "Dynamic Stochastic General Equilibrium Model with Banks and Endogenous Defaults of Firms," Journal of the New Economic Association, New Economic Association, vol. 19(3), pages 27-50.
  2. Franziska Bremus, 2011. "Financial Integration and Macroeconomic Stability: What Role for Large Banks?," Discussion Papers of DIW Berlin 1178, DIW Berlin, German Institute for Economic Research.

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