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How Important are Financial Frictions in the U.S. and the Euro Area?

Author

Listed:
  • Queijo von Heideken, Virginia

    (Monetary Policy Department, Central Bank of Sweden)

Abstract

This paper aims to evaluate if frictions in credit markets are important for business cycles in the U.S. and the Euro area. For this purpose, I modify the DSGE financial accelerator model developed by Bernanke, Gertler and Gilchrist (1999) by adding frictions such as price indexation to past inflation, sticky wages, consumption habits and variable capital utilization. When I estimate the model with Bayesian methods, I find that financial frictions are relevant in both areas. According to the posterior odds ratio, the data clearly favors the model with financial frictions both in the U.S. and the Euro area. Moreover, consistent with common perceptions, financial frictions are larger in the Euro area.

Suggested Citation

  • Queijo von Heideken, Virginia, 2008. "How Important are Financial Frictions in the U.S. and the Euro Area?," Working Paper Series 223, Sveriges Riksbank (Central Bank of Sweden).
  • Handle: RePEc:hhs:rbnkwp:0223
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    Cited by:

    1. Ichiro Fukunaga & Masashi Saito, 2009. "Asset Prices and Monetary Policy," Monetary and Economic Studies, Institute for Monetary and Economic Studies, Bank of Japan, vol. 27(1), pages 143-170, November.
    2. Lawrence J. Christiano & Joshua M. Davis, 2006. "Two flaws in business cycle dating," Working Papers (Old Series) 0612, Federal Reserve Bank of Cleveland.
    3. De Graeve, Ferre, 2008. "The external finance premium and the macroeconomy: US post-WWII evidence," Journal of Economic Dynamics and Control, Elsevier, vol. 32(11), pages 3415-3440, November.
    4. Castelnuovo, Efrem & Nisticò, Salvatore, 2010. "Stock market conditions and monetary policy in a DSGE model for the U.S," Journal of Economic Dynamics and Control, Elsevier, vol. 34(9), pages 1700-1731, September.
    5. Yasuo Hirose, 2008. "Equilibrium Indeterminacy and Asset Price Fluctuation in Japan: A Bayesian Investigation," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 40(5), pages 967-999, August.
    6. Dib, Ali & Mendicino, Caterina & Zhang, Yahong, 2013. "Price-level targeting rules and financial shocks: The case of Canada," Economic Modelling, Elsevier, vol. 30(C), pages 941-953.
    7. Gelain, Paolo, 2010. "The external finance premium in the Euro area: A dynamic stochastic general equilibrium analysis," The North American Journal of Economics and Finance, Elsevier, vol. 21(1), pages 49-71, March.
    8. Rossana Merola, 2013. "The role of financial frictions in the 2007-2008 crisis: an estimated DSGE model," Working Papers Department of Economics 2013/08, ISEG - Lisbon School of Economics and Management, Department of Economics, Universidade de Lisboa.
    9. Andre Kurmann & Nicolas Petrosky-Nadeau, 2006. "Credit Market Frictions with Costly Capital Reallocation as a Propagation Mechanism," 2006 Meeting Papers 365, Society for Economic Dynamics.
    10. Merola, Rossana, 2010. "Optimal monetary policy in a small open economy with financial frictions," Discussion Paper Series 1: Economic Studies 2010,01, Deutsche Bundesbank.
    11. Ralf R. Meisenzahl, 2011. "Verifying the state of financing constraints: evidence from U.S. business credit contracts," Finance and Economics Discussion Series 2011-04, Board of Governors of the Federal Reserve System (U.S.).
    12. Eleni Iliopulos & Thepthida Sopraseuth, 2012. "L'intermédiation financière dans l'analyse macroéconomique : le défi de la crise," Économie et Statistique, Programme National Persée, vol. 451(1), pages 91-130.
    13. Gelain, Paolo, 2010. "The external finance premium in the euro area A useful indicator for monetary policy?," Working Paper Series 1171, European Central Bank.
    14. Merola, Rossana, 2015. "The role of financial frictions during the crisis: An estimated DSGE model," Economic Modelling, Elsevier, vol. 48(C), pages 70-82.
    15. Lawrence J. Christiano & Joshua M. Davis, 2006. "Two flaws in business cycle accounting," Working Paper Series WP-06-10, Federal Reserve Bank of Chicago.
    16. Caterina Mendicino & Yahong Zhang, 2016. "Risk Shocks in a Small Open Economy," Working Papers 1602, University of Windsor, Department of Economics.
    17. Christiano, Lawrence & Motto, Roberto & Rostagno, Massimo, 2010. "Financial factors in economic fluctuations," Working Paper Series 1192, European Central Bank.
    18. Julio A. CARRILLO & Celine POILLY, 2010. "On the Recovery Path during a Liquidity Trap: Do Financial Frictions Matter for Fiscal Multipliers?," LIDAM Discussion Papers IRES 2010034, Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES).
    19. Castelnuovo, Efrem & Nisticò, Salvatore, 2010. "Stock market conditions and monetary policy in a DSGE model for the U.S," Journal of Economic Dynamics and Control, Elsevier, vol. 34(9), pages 1700-1731, September.
    20. Alberto Ortiz Bolaños, 2013. "Credit Market Shocks, Monetary Policy, and Economic Fluctuations," Monetaria, CEMLA, vol. 0(2), pages 317-369, July-Dece.
    21. Fiorella De Fiore & Oreste Tristani, 2011. "Credit and the Natural Rate of Interest," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 43(2‐3), pages 407-440, March.

    More about this item

    Keywords

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    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E40 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - General
    • E50 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - General
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)

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