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Financial intermediaries in an estimated DSGE model for the United Kingdom

Author

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  • 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
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    References listed on IDEAS

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    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. 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.
    14. 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.
    15. 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.

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    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

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