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A bayesian estimation of a DSGE model with financial frictions

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Abstract

Episodes of crises that have recently plagued many emerging market economies have lead to a wide-spread questioning of the two traditional generations of models of currency crises. Distressed banking system and adverse credit-markets conditions have been pointed as sources of serious macroeconomics contractions, so introducing these imperfections into standard economic models can help to explain the more recent crises. This paper introduces financial frictions à la Bernanke Gertler and Gilchrist in a two-sector small open economy, suited to analyze an emerging country. The model is estimated on simulated data applying both Bayesian techniques and maximum likelihood method and comparing the results under the two di¤erent estimation procedures. First, I analyze the influence of the prior on the estimation outcomes. Results seems to confirm that one of the main advantages of Bayesian approach is the ability of providing a framework for evaluating fundamentally mis-specified models. Second, I test the sensitivity of estimation outcomes to the sample size, showing how, for large samples, results under Bayesian estimation converges asymptotically to those obtained applying maximum likelihood. A further extension would be to perform the estimation on historical data for an emerging economy that have recently experienced a financial crisis.

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  • Rossana Merola, 2009. "A bayesian estimation of a DSGE model with financial frictions," CEIS Research Paper 149, Tor Vergata University, CEIS, revised 01 Oct 2009.
  • Handle: RePEc:rtv:ceisrp:149
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    1. Michael B. Devereux & Philip R. Lane & Juanyi Xu, 2006. "Exchange Rates and Monetary Policy in Emerging Market Economies," Economic Journal, Royal Economic Society, vol. 116(511), pages 478-506, April.
    2. 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.
    3. Aghion, Philippe & Bacchetta, Philippe & Banerjee, Abhijit, 2004. "A corporate balance-sheet approach to currency crises," Journal of Economic Theory, Elsevier, vol. 119(1), pages 6-30, November.
    4. Luis Felipe Céspedes & Roberto Chang & Andrés Velasco, 2004. "Balance Sheets and Exchange Rate Policy," American Economic Review, American Economic Association, vol. 94(4), pages 1183-1193, September.
    5. Simon Gilchrist & Jean-Olivier Hairault & Hubert Kempf, 2002. "Monetary policy and the financial accelerator in a monetary union," International Finance Discussion Papers 750, Board of Governors of the Federal Reserve System (U.S.).
    6. Christiano, Lawrence J. & Gust, Christopher & Roldos, Jorge, 2004. "Monetary policy in a financial crisis," Journal of Economic Theory, Elsevier, vol. 119(1), pages 64-103, November.
    7. David Altig & Lawrence Christiano & Martin Eichenbaum & Jesper Linde, 2011. "Firm-Specific Capital, Nominal Rigidities and the Business Cycle," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 14(2), pages 225-247, April.
    8. Lawrence J. Christiano & Roberto Motto & Massimo Rostagno, 2003. "The Great Depression and the Friedman-Schwartz hypothesis," Proceedings, Federal Reserve Bank of Cleveland, pages 1119-1215.
    9. Ben S. Bernanke & Mark Gertler, 1995. "Inside the Black Box: The Credit Channel of Monetary Policy Transmission," Journal of Economic Perspectives, American Economic Association, vol. 9(4), pages 27-48, Fall.
    10. Ali Dib & Ian Christensen, 2005. "Monetary Policy in an Estimated DSGE Model with a Financial Accelerator," Computing in Economics and Finance 2005 314, Society for Computational Economics.
    11. 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.
    12. Marco Del Negro & Frank Schorfheide & Frank Smets & Raf Wouters, 2004. "On the fit and forecasting performance of New Keynesian models," FRB Atlanta Working Paper 2004-37, Federal Reserve Bank of Atlanta.
    13. Sargent, Thomas J, 1989. "Two Models of Measurements and the Investment Accelerator," Journal of Political Economy, University of Chicago Press, vol. 97(2), pages 251-287, April.
    14. David Altig & Lawrence Christiano & Martin Eichenbaum & Jesper Linde, 2011. "Firm-Specific Capital, Nominal Rigidities and the Business Cycle," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 14(2), pages 225-247, April.
    15. Smets, Frank & Wouters, Raf, 2002. "An estimated stochastic dynamic general equilibrium model of the euro area," Working Paper Series 171, European Central Bank.
    16. Lawrence J. Christiano & Roberto Motto & Massimo Rostagno, 2003. "The Great Depression and the Friedman-Schwartz hypothesis," Proceedings, Federal Reserve Bank of Cleveland, pages 1119-1215.
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    Cited by:

    1. Muhammad Ali Nasir & Alaa M. Soliman & Muhammad Shahbaz, 0. "Operational aspect of the policy coordination for financial stability: role of Jeffreys–Lindley’s paradox in operations research," Annals of Operations Research, Springer, vol. 0, pages 1-25.
    2. Muhammad Ali Nasir & Milton Yago & Alaa M. Soliman & Junjie Wu, 2016. "Financial stability, wealth effects and optimal macroeconomic policy combination in the United Kingdom: A new-Keynesian dynamic stochastic general equilibrium framework," Cogent Economics & Finance, Taylor & Francis Journals, vol. 4(1), pages 1136098-113, December.

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    More about this item

    Keywords

    DSGE models; Bayesian estimation; financial accelerator;
    All these keywords.

    JEL classification:

    • E30 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - General (includes Measurement and Data)
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • F34 - International Economics - - International Finance - - - International Lending and Debt Problems
    • F41 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Open Economy Macroeconomics

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