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What causes banking crises? An empirical investigation

  • Le, Vo Phuong Mai
  • Meenagh, David
  • Minford, Patrick

We add the Bernanke-Gertler-Gilchrist model to a modified version of the Smets-Wouters model of the US in order to explore the causes of the banking crisis. We test the model against the data on HP-detrended data and reestimate it by indirect inference; the resulting model passes the Wald test on output, inflation and interest rates. We then extract the model's implied residuals on US unfiltered data since 1984 to replicate how the model predicts the crisis. The main banking shock tracks the unfolding `sub-prime' shock, which appears to have been authored mainly by US government intervention. This shock worsens the banking crisis but `traditional' shocks explain the bulk of the crisis; the non-stationarity of the productivity shock plays a key role. Crises occur when there is a `run' of bad shocks; based on this sample they occur on average once every 40 years and when they occur around half are accompanied by financial crisis. Financial shocks on their own, even when extreme, do not cause crises --- provided the government acts swiftly to counteract such a shock as happened in this sample.

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Paper provided by C.E.P.R. Discussion Papers in its series CEPR Discussion Papers with number 9057.

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Date of creation: Jul 2012
Date of revision:
Handle: RePEc:cpr:ceprdp:9057
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  1. Lawrence J. Christiano & Martin Eichenbaum & Charles L. Evans, 2001. "Nominal rigidities and the dynamic effects of a shock to monetary policy," Proceedings, Federal Reserve Bank of San Francisco, issue Jun.
  2. 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.
  3. Fabio Canova & Luca Sala, 2006. "Back to Square One: Identification Issues in DSGE Models," Working Papers 303, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
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  5. Miles S. Kimball & Michael Woodford, 1994. "The quantitative analysis of the basic neomonetarist model," Proceedings, Federal Reserve Bank of Cleveland, pages 1241-1289.
  6. Le, Vo Phuong Mai & Meenagh, David & Minford, Patrick & Wickens, Michael, 2011. "How much nominal rigidity is there in the US economy? Testing a new Keynesian DSGE model using indirect inference," Journal of Economic Dynamics and Control, Elsevier, vol. 35(12), pages 2078-2104.
  7. Davidson, James & Meenagh, David & Minford, Patrick & Wickens, Michael, 2010. "Why crises happen - nonstationary macroeconomics," Cardiff Economics Working Papers E2010/13, Cardiff University, Cardiff Business School, Economics Section.
  8. Bernanke, Ben S. & Gertler, Mark & Gilchrist, Simon, 1999. "The financial accelerator in a quantitative business cycle framework," Handbook of Macroeconomics, in: J. B. Taylor & M. Woodford (ed.), Handbook of Macroeconomics, edition 1, volume 1, chapter 21, pages 1341-1393 Elsevier.
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  11. Gourieroux, C. & Monfort, A. & Renault, E., 1992. "Indirect Inference," Papers 92.279, Toulouse - GREMAQ.
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  14. L. Ingber, 2012. "Adaptive simulated annealing," Lester Ingber Papers 12as, Lester Ingber.
  15. Le, Vo Phuong Mai & Minford, Patrick & Wickens, Michael, 2013. "A Monte Carlo procedure for checking identification in DSGE models," Cardiff Economics Working Papers E2013/4, Cardiff University, Cardiff Business School, Economics Section.
  16. Del Negro, Marco & Schorfheide, Frank & Smets, Frank & Wouters, Rafael, 2007. "On the Fit of New Keynesian Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 25, pages 123-143, April.
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