IDEAS home Printed from https://ideas.repec.org/p/nbb/reswpp/201312-249.html
   My bibliography  Save this paper

The role of financial frictions during the crisis: An estimated DSGE model

Author

Listed:
  • Rossana Merola

    (ESRI, Economic Analysis Division
    Trinity College Dublin)

Abstract

After the recent banking crisis in 2008, financial market conditions have turned out to be a relevant factor for economic fluctuations. This paper provides a quantitative assessment of the impact of financial frictions on the U.S. business cycle. The analysis compares the original Smets and Wouters model (2003, 2007) with an alternative version augmented with the financial accelerator mechanism à la Bernanke, Gertler and Gilchrist (1996,1999). Both versions are estimated using Bayesian techniques over a sample extended to 2012. The analysis supports the role of financial channels, namely the financial accelerator mechanism, in transmitting dysfunctions from financial markets to the real economy. The Smets and Wouters model, augmented with the financial accelerator mechanism, is suitable to capture much of the historical developments in U.S. financial markets that led to the financial crisis. The model can account for the output contraction in 2008, as well as the widening in corporate spreads and supports the argument that financial conditions have amplified the U.S. business cycle and the intensity of the recession.

Suggested Citation

  • Rossana Merola, 2013. "The role of financial frictions during the crisis: An estimated DSGE model," Working Paper Research 249, National Bank of Belgium.
  • Handle: RePEc:nbb:reswpp:201312-249
    as

    Download full text from publisher

    File URL: https://www.nbb.be/doc/ts/publications/wp/wp249en.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Orphanides, Athanasios & Wieland, Volker, 2000. "Efficient Monetary Policy Design near Price Stability," Journal of the Japanese and International Economies, Elsevier, vol. 14(4), pages 327-365, December.
    2. Alejandro Justiniano & Giorgio Primiceri & Andrea Tambalotti, 2011. "Investment Shocks and the Relative Price of Investment," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 14(1), pages 101-121, January.
    3. Bernanke, Ben & Gertler, Mark & Gilchrist, Simon, 1996. "The Financial Accelerator and the Flight to Quality," The Review of Economics and Statistics, MIT Press, vol. 78(1), pages 1-15, February.
    4. Stéphanie Guichard & David Haugh & David Turner, 2009. "Quantifying the Effect of Financial Conditions in the Euro Area, Japan, United Kingdom and United States," OECD Economics Department Working Papers 677, OECD Publishing.
    5. Frank Smets & Raf Wouters, 2005. "Comparing shocks and frictions in US and euro area business cycles: a Bayesian DSGE Approach," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(2), pages 161-183.
    6. Gertler, Mark & Kiyotaki, Nobuhiro, 2010. "Financial Intermediation and Credit Policy in Business Cycle Analysis," Handbook of Monetary Economics, in: Benjamin M. Friedman & Michael Woodford (ed.), Handbook of Monetary Economics, edition 1, volume 3, chapter 11, pages 547-599, Elsevier.
    7. Carlstrom, Charles T. & Fuerst, Timothy S. & Ortiz, Alberto & Paustian, Matthias, 2014. "Estimating contract indexation in a Financial Accelerator Model," Journal of Economic Dynamics and Control, Elsevier, vol. 46(C), pages 130-149.
    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.
    9. Gerke, R. & Jonsson, M. & Kliem, M. & Kolasa, M. & Lafourcade, P. & Locarno, A. & Makarski, K. & McAdam, P., 2013. "Assessing macro-financial linkages: A model comparison exercise," Economic Modelling, Elsevier, vol. 31(C), pages 253-264.
    10. 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.
    11. Jon Faust & Simon Gilchrist & Jonathan H. Wright & Egon Zakrajšsek, 2013. "Credit Spreads as Predictors of Real-Time Economic Activity: A Bayesian Model-Averaging Approach," The Review of Economics and Statistics, MIT Press, vol. 95(5), pages 1501-1519, December.
    12. Andrew T. Levin & Fabio M. Natalucci & Egon Zakrajšek, 2004. "The magnitude and cyclical behavior of financial market frictions," Finance and Economics Discussion Series 2004-70, Board of Governors of the Federal Reserve System (U.S.).
    13. Sungbae An & Frank Schorfheide, 2007. "Bayesian Analysis of DSGE Models," Econometric Reviews, Taylor & Francis Journals, vol. 26(2-4), pages 113-172.
    14. 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.
    15. Marco Del Negro & Marc P. Giannoni & Frank Schorfheide, 2015. "Inflation in the Great Recession and New Keynesian Models," American Economic Journal: Macroeconomics, American Economic Association, vol. 7(1), pages 168-196, January.
    16. Andrea Gerali & Stefano Neri & Luca Sessa & Federico M. Signoretti, 2010. "Credit and Banking in a DSGE Model of the Euro Area," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 42(s1), pages 107-141, September.
    17. Stefan Gerlach & John Lewis, 2014. "Zero lower bound, ECB interest rate policy and the financial crisis," Empirical Economics, Springer, vol. 46(3), pages 865-886, May.
    18. Urban Jermann & Vincenzo Quadrini, 2012. "Macroeconomic Effects of Financial Shocks," American Economic Review, American Economic Association, vol. 102(1), pages 238-271, February.
    19. Frank Smets & Rafael Wouters, 2007. "Shocks and Frictions in US Business Cycles: A Bayesian DSGE Approach," American Economic Review, American Economic Association, vol. 97(3), pages 586-606, June.
    20. Gertler, Mark & Lown, Cara S, 1999. "The Information in the High-Yield Bond Spread for the Business Cycle: Evidence and Some Implications," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 15(3), pages 132-150, Autumn.
    21. Kollmann, Robert & Enders, Zeno & Müller, Gernot J., 2011. "Global banking and international business cycles," European Economic Review, Elsevier, vol. 55(3), pages 407-426, April.
    22. 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.
    23. Alberto Martin & Jaume Ventura, 2011. "Theoretical Notes on Bubbles and the Current Crisis," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 59(1), pages 6-40, April.
    24. Christiano, Lawrence & Motto, Roberto & Rostagno, Massimo, 2010. "Financial factors in economic fluctuations," Working Paper Series 1192, European Central Bank.
    25. Mark Gertler & Simon Gilchrist & Fabio M. Natalucci, 2007. "External Constraints on Monetary Policy and the Financial Accelerator," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 39(2‐3), pages 295-330, March.
    26. Simon Gilchrist & Egon Zakrajšek, 2011. "Monetary Policy and Credit Supply Shocks," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 59(2), pages 195-232, June.
    27. Ian Christensen & Ali Dib, 2008. "The Financial Accelerator in an Estimated New Keynesian Model," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 11(1), pages 155-178, January.
    28. Urban Jermann & Vincenzo Quadrini, 2012. "Erratum: Macroeconomic Effects of Financial Shocks," American Economic Review, American Economic Association, vol. 102(2), pages 1186-1186, April.
    29. Rossana MEROLA, 2012. "Monetary policy and fiscal stimulus with the zero lower bound and financial frictions," LIDAM Discussion Papers IRES 2012024, Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES).
    30. Stefan Gerlach & John Lewis, 2014. "Zero lower bound, ECB interest rate policy and the financial crisis," Empirical Economics, Springer, vol. 46(3), pages 865-886, May.
    31. Virginia Queijo von Heideken, 2009. "How Important are Financial Frictions in the United States and the Euro Area?," Scandinavian Journal of Economics, Wiley Blackwell, vol. 111(3), pages 567-596, September.
    32. Julio Carrillo & Celine Poilly, 2013. "How do financial frictions affect the spending multiplier during a liquidity trap?," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 16(2), pages 296-311, April.
    33. Queijo, Virginia, 2005. "How Important are Financial Frictions in the U.S. and Euro Area?," Seminar Papers 738, Stockholm University, Institute for International Economic Studies.
    34. 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.
    35. Gelain, Paolo, 2010. "The external finance premium in the euro area A useful indicator for monetary policy?," Working Paper Series 1171, European Central Bank.
    36. Frank Smets & Raf Wouters, 2003. "An Estimated Dynamic Stochastic General Equilibrium Model of the Euro Area," Journal of the European Economic Association, MIT Press, vol. 1(5), pages 1123-1175, September.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. Stijn Claessens & M Ayhan Kose, 2018. "Frontiers of macrofinancial linkages," BIS Papers, Bank for International Settlements, number 95.
    3. Christiano, Lawrence & Motto, Roberto & Rostagno, Massimo, 2010. "Financial factors in economic fluctuations," Working Paper Series 1192, European Central Bank.
    4. Smets, Frank & Villa, Stefania, 2016. "Slow recoveries: Any role for corporate leverage?," Journal of Economic Dynamics and Control, Elsevier, vol. 70(C), pages 54-85.
    5. Villa, Stefania, 2013. "Financial frictions in the euro area: a Bayesian assessment," Working Paper Series 1521, European Central Bank.
    6. Görtz, Christoph & Tsoukalas, John, 2011. "News and financial intermediation in aggregate and sectoral fluctuations," MPRA Paper 38986, University Library of Munich, Germany, revised Mar 2012.
    7. Villa, Stefania, 2016. "Financial Frictions In The Euro Area And The United States: A Bayesian Assessment," Macroeconomic Dynamics, Cambridge University Press, vol. 20(5), pages 1313-1340, July.
    8. Michał Brzoza‐Brzezina & Marcin Kolasa, 2013. "Bayesian Evaluation of DSGE Models with Financial Frictions," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 45(8), pages 1451-1476, December.
    9. repec:pra:mprapa:38985 is not listed on IDEAS
    10. Wieland, Volker & Binder, Michael & Lieberknecht, Philipp & Quintana, Jorge, 2017. "Model Uncertainty in Macroeconomics: On the Implications of Financial Frictions," CEPR Discussion Papers 12013, C.E.P.R. Discussion Papers.
    11. Beck, Thorsten & Colciago, Andrea & Pfajfar, Damjan, 2014. "The role of financial intermediaries in monetary policy transmission," Journal of Economic Dynamics and Control, Elsevier, vol. 43(C), pages 1-11.
    12. Brand, Thomas & Isoré, Marlène & Tripier, Fabien, 2019. "Uncertainty shocks and firm creation: Search and monitoring in the credit market," Journal of Economic Dynamics and Control, Elsevier, vol. 99(C), pages 19-53.
    13. Lindé, J. & Smets, F. & Wouters, R., 2016. "Challenges for Central Banks’ Macro Models," Handbook of Macroeconomics, in: J. B. Taylor & Harald Uhlig (ed.), Handbook of Macroeconomics, edition 1, volume 2, chapter 0, pages 2185-2262, Elsevier.
    14. 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.
    15. Gelain, Paolo, 2010. "The external finance premium in the euro area A useful indicator for monetary policy?," Working Paper Series 1171, European Central Bank.
    16. Andrea Silvestrini & Andrea Zaghini, 2015. "Financial shocks and the real economy in a nonlinear world: a survey of the theoretical and empirical literature," Questioni di Economia e Finanza (Occasional Papers) 255, Bank of Italy, Economic Research and International Relations Area.
    17. Schmidt, Sebastian & Wieland, Volker, 2013. "The New Keynesian Approach to Dynamic General Equilibrium Modeling: Models, Methods and Macroeconomic Policy Evaluation," Handbook of Computable General Equilibrium Modeling, in: Peter B. Dixon & Dale Jorgenson (ed.), Handbook of Computable General Equilibrium Modeling, edition 1, volume 1, chapter 0, pages 1439-1512, Elsevier.
    18. Matthieu Darracq Paries, 2018. "Financial frictions and monetary policy conduct," Erudite Ph.D Dissertations, Erudite, number ph18-01 edited by Ferhat Mihoubi.
    19. Yagihashi, Takeshi, 2018. "How costly is a misspecified credit channel DSGE model in monetary policymaking?," Economic Modelling, Elsevier, vol. 68(C), pages 484-505.
    20. Kame Babilla, Thierry U., 2023. "Digital innovation and financial access for small and medium-sized enterprises in a currency union," Economic Modelling, Elsevier, vol. 120(C).
    21. Francesco Furlanetto & Francesco Ravazzolo & Samad Sarferaz, 2019. "Identification of Financial Factors in Economic Fluctuations," The Economic Journal, Royal Economic Society, vol. 129(617), pages 311-337.

    More about this item

    Keywords

    DSGE models; business cycle; financial frictions; Bayesian estimation;
    All these keywords.

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nbb:reswpp:201312-249. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/bnbgvbe.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.