IDEAS home Printed from https://ideas.repec.org/p/boe/boeewp/0431.html
   My bibliography  Save this paper

Financial intermediaries in an estimated DSGE model for the United Kingdom

Author

Listed:
  • Villa, Stefania

    (Birkbeck College, University of London)

  • Yang, Jing

    (Bank for International Settlements)

Abstract

Gertler and Karadi combined financial intermediation and credit policy in a DSGE framework. We estimate their model with UK data using Bayesian techniques. To validate the fit, we evaluate the model’s empirical properties. Then we analyse the transmission mechanism of the shocks, set to produce a downturn. Finally, we examine the empirical importance of nominal, real and financial frictions and of different shocks. We find that banking friction seems to play an important role in explaining the UK business cycle. Moreover, the banking sector shock seems to explain about half of the fall in real GDP in the recent crisis. A credit supply shock seems to account for most of the weakness in bank lending.

Suggested Citation

  • Villa, Stefania & Yang, Jing, 2011. "Financial intermediaries in an estimated DSGE model for the United Kingdom," Bank of England working papers 431, Bank of England.
    • Handle: RePEc:boe:boeewp:0431
    as

    Download full text from publisher

    File URL: https://www.bankofengland.co.uk/-/media/boe/files/working-paper/2012/financial-intermediaries-in-an-estimated-dsge-model-for-the-uk.pdf
    File Function: Full text
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Yunus Aksoy & Henrique S. Basso & Javier Coto-Martinez, 2013. "Lending Relationships And Monetary Policy," Economic Inquiry, Western Economic Association International, vol. 51(1), pages 368-393, January.
    2. Chadha, J.S. & Corrado, L. & Sun, Q., 2008. "Money, Prices and Liquidity Effects: Separating Demand from Supply," Cambridge Working Papers in Economics 0855, Faculty of Economics, University of Cambridge.
    3. 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.
    4. 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.
    5. Mark Gertler & Luca Sala & Antonella Trigari, 2008. "An Estimated Monetary DSGE Model with Unemployment and Staggered Nominal Wage Bargaining," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 40(8), pages 1713-1764, December.
    6. Lawrence J. Christiano & Martin Eichenbaum & Charles L. Evans, 2005. "Nominal Rigidities and the Dynamic Effects of a Shock to Monetary Policy," Journal of Political Economy, University of Chicago Press, vol. 113(1), pages 1-45, February.
    7. Riccardo DiCecio & Edward Nelson, 2007. "An estimated DSGE model for the United Kingdom," Review, Federal Reserve Bank of St. Louis, vol. 89(Jul), pages 215-232.
    8. Yongsung Chang & Joao F. Gomes & Frank Schorfheide, 2002. "Learning-by-Doing as a Propagation Mechanism," American Economic Review, American Economic Association, vol. 92(5), pages 1498-1520, December.
    9. Luca Benati, 2003. "Evolving Post-World War II U.K. Economic Performance," Computing in Economics and Finance 2003 171, Society for Computational Economics.
    10. Adolfson, Malin & Laseen, Stefan & Linde, Jesper & Villani, Mattias, 2007. "Bayesian estimation of an open economy DSGE model with incomplete pass-through," Journal of International Economics, Elsevier, vol. 72(2), pages 481-511, July.
    11. Frank Schorfheide, 2000. "Loss function-based evaluation of DSGE models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(6), pages 645-670.
    12. Bean, Charles & Larsen, Jens D. J. & Nikolov, Kalin, 2002. "Financial frictions and the monetary transmission mechanism: theory, evidence and policy implications," Working Paper Series 113, European Central Bank.
    13. Edward Nelson, 2000. "UK monetary policy 1972-97: a guide using Taylor rules," Bank of England working papers 120, Bank of England.
    14. 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.
    15. Chadha, Jagjit S. & Corrado, Luisa & Sun, Qi, 2010. "Money and liquidity effects: Separating demand from supply," Journal of Economic Dynamics and Control, Elsevier, vol. 34(9), pages 1732-1747, September.
    16. Meh, Césaire A. & Moran, Kevin, 2010. "The role of bank capital in the propagation of shocks," Journal of Economic Dynamics and Control, Elsevier, vol. 34(3), pages 555-576, March.
    17. 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.
    18. Harrison, Richard & Oomen, Özlem, 2010. "Evaluating and estimating a DSGE model for the United Kingdom," Bank of England working papers 380, Bank of England.
    19. Gertler, Mark & Karadi, Peter, 2011. "A model of unconventional monetary policy," Journal of Monetary Economics, Elsevier, vol. 58(1), pages 17-34, January.
    20. David Aikman & Matthias Paustian, 2006. "Bank capital, asset prices and monetary policy," Bank of England working papers 305, Bank of England.
    21. Charles Bean, 2010. "Joseph Schumpeter Lecture The Great Moderation, The Great Panic, and The Great Contraction," Journal of the European Economic Association, MIT Press, vol. 8(2-3), pages 289-325, 04-05.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Tony Hall & Jan Jacobs & Adrian Pagan, "undated". "Macro-Econometric System Modelling @75," NCER Working Paper Series 95, National Centre for Econometric Research.
    2. Gelain, Paolo & Ilbas, Pelin, 2017. "Monetary and macroprudential policies in an estimated model with financial intermediation," Journal of Economic Dynamics and Control, Elsevier, vol. 78(C), pages 164-189.
    3. PIROVANO, Mara, 2013. "International financial integration, credit frictions and exchange rate regimes," Working Papers 2013015, University of Antwerp, Faculty of Business and Economics.
    4. Villa, Stefania, 2013. "Financial frictions in the euro area: a Bayesian assessment," Working Paper Series 1521, European Central Bank.
    5. Afrin, Sadia, 2017. "The role of financial shocks in business cycles with a liability side financial friction," Economic Modelling, Elsevier, vol. 64(C), pages 249-269.
    6. Butt, Nick & Pugh, Alice, 2014. "Credit spreads: capturing credit conditions facing households and firms," Bank of England Quarterly Bulletin, Bank of England, vol. 54(2), pages 137-148.
    7. Lim, G.C. & McNelis, Paul D., 2016. "Quasi-monetary and quasi-fiscal policy rules at the zero-lower bound," Journal of International Money and Finance, Elsevier, vol. 69(C), pages 135-150.
    8. 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.
    9. Giovanni Melina & Stefania Villa, 2014. "Fiscal Policy And Lending Relationships," Economic Inquiry, Western Economic Association International, vol. 52(2), pages 696-712, April.
    10. Cloyne, James & Thomas, Ryland & Tuckett, Alex & Wills, Samuel, 2015. "A sectoral framework for analyzing money, credit and unconventional monetary policy," Bank of England working papers 556, Bank of England.
    11. Caraiani, Petre & Luik, Marc-André & Wesselbaum, Dennis, 2020. "Credit policy and asset price bubbles," Journal of Macroeconomics, Elsevier, vol. 65(C).
    12. Soleimani Movahed , Maryam & Afshari , Zahra & Pedram , Mehdi, 2014. "Optimal Policy Rules for Iran in a DSGE Framework (Islamic Musharakah Approach)," Journal of Money and Economy, Monetary and Banking Research Institute, Central Bank of the Islamic Republic of Iran, vol. 9(4), pages 1-30, July.
    13. Soltani , Sedigheh & Falihi , Nemat & Mehrabiyan , Azadeh & Amiri , Hossein, 2021. "Investigating the Effects of Monetary and Financial Shocks on the Key Macroeconomic Variables, Focusing on the Intermediary Role of Banks Using DSGE Models," Journal of Money and Economy, Monetary and Banking Research Institute, Central Bank of the Islamic Republic of Iran, vol. 16(4), pages 477-500, December.
    14. Burgess, Stephen & Fernandez-Corugedo, Emilio & Groth, Charlotta & Harrison, Richard & Monti, Francesca & Theodoridis, Konstantinos & Waldron, Matt, 2013. "The Bank of England's forecasting platform: COMPASS, MAPS, EASE and the suite of models," Bank of England working papers 471, Bank of England.
    15. Javier García-Cicco & Markus Kirchner & Santiago Justel, 2014. "Financial Frictions and the Transmission of Foreign Shocks in Chile," Working Papers Central Bank of Chile 722, Central Bank of Chile.
    16. Hackworth, Christopher & Radia, Amar & Roberts, Nyssa, 2013. "Understanding the MPC’s forecast performance since mid-2010," Bank of England Quarterly Bulletin, Bank of England, vol. 53(4), pages 336-350.

    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. Lindé, Jesper & Smets, Frank & Wouters, Rafael, 2016. "Challenges for Central Banks´ Macro Models," Working Paper Series 323, Sveriges Riksbank (Central Bank of Sweden).
    2. Robert Kollmann, 2013. "Global Banks, Financial Shocks, and International Business Cycles: Evidence from an Estimated Model," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 45(s2), pages 159-195, December.
    3. Sami Alpanda & Gino Cateau & Césaire Meh, 2018. "A policy model to analyze macroprudential regulations and monetary policy," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 51(3), pages 828-863, August.
    4. 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.
    5. 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.
    6. 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.
    7. Giovanni Melina & Stefania Villa, 2014. "Fiscal Policy And Lending Relationships," Economic Inquiry, Western Economic Association International, vol. 52(2), pages 696-712, April.
    8. repec:zbw:bofrdp:2016_016 is not listed on IDEAS
    9. Yépez, Carlos A., 2018. "Financial intermediation and real estate prices impact on business cycles: A Bayesian analysis," The North American Journal of Economics and Finance, Elsevier, vol. 45(C), pages 138-160.
    10. Andrei Polbin & Sergey Drobyshevsky, 2014. "Developing a Dynamic Stochastic Model of General Equilibrium for the Russian Economy," Research Paper Series, Gaidar Institute for Economic Policy, issue 166P, pages 156-156.
    11. Silvestrini, Andrea & Zaghini, Andrea, 2015. "Financial shocks and the real economy in a nonlinear world: From theory to estimation," Journal of Policy Modeling, Elsevier, vol. 37(6), pages 915-929.
    12. 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.
    13. Tayler, William & Zilberman, Roy, 2014. "Macroprudential Regulation and the Role of Monetary Policy," Dynare Working Papers 37, CEPREMAP.
    14. Wieland, V. & Afanasyeva, E. & Kuete, M. & Yoo, J., 2016. "New Methods for Macro-Financial Model Comparison and Policy Analysis," Handbook of Macroeconomics, in: J. B. Taylor & Harald Uhlig (ed.), Handbook of Macroeconomics, edition 1, volume 2, chapter 0, pages 1241-1319, Elsevier.
    15. Senbeta, Sisay, 2011. "How applicable are the new keynesian DSGE models to a typical low-income economy?," MPRA Paper 30931, University Library of Munich, Germany.
    16. Martin Andreasen & Marcelo Ferman & Pawel Zabczyk, 2013. "The Business Cycle Implications of Banks' Maturity Transformation," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 16(4), pages 581-600, October.
    17. Kilponen, Juha & Orjasniemi, Seppo & Ripatti, Antti & Verona, Fabio, 2016. "The Aino 2.0 model," Research Discussion Papers 16/2016, Bank of Finland.
    18. Böhl, Gregor & Strobel, Felix, 2020. "US business cycle dynamics at the zero lower bound," IMFS Working Paper Series 143, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS).
    19. Gerba, Eddie, 2015. "Have the US macro-financial linkages changed? The balance sheet dimension," LSE Research Online Documents on Economics 59886, London School of Economics and Political Science, LSE Library.
    20. Christiano, Lawrence & Motto, Roberto & Rostagno, Massimo, 2010. "Financial factors in economic fluctuations," Working Paper Series 1192, European Central Bank.
    21. 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.

    More about this item

    Keywords

    Financial friction; DSGE; Bayesian estimation;
    All these keywords.

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • 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:boe:boeewp:0431. 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: Digital Media Team (email available below). General contact details of provider: https://edirc.repec.org/data/boegvuk.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.