IDEAS home Printed from https://ideas.repec.org/p/ecb/ecbwps/20121423.html
   My bibliography  Save this paper

Financial market frictions in a model of the euro area

Author

Listed:
  • McAdam, Peter
  • Lombardo, Giovanni

Abstract

We build a model of the euro area incorporating financial market frictions at the level of firms and households. Entrepreneurs borrow from financial intermediaries in order to purchase business capital, in the spirit of the "financial accelerator" literature. We also introduce two types of households that differ in their degree of time preference. All households have preferences for housing services. The impatient households are faced with a collateral constraint that is a function of the value of their housing stock. Our aim is to provide a unified framework for policy analysis that emphasizes financial market frictions alongside the more traditional model channels. The model is estimated by Bayesian methods using euro area aggregate data and model properties are illustrated with simulation and conditional variance and historical shock decomposition. JEL Classification: C11, C32, E32, E37

Suggested Citation

  • McAdam, Peter & Lombardo, Giovanni, 2012. "Financial market frictions in a model of the euro area," Working Paper Series 1423, European Central Bank.
  • Handle: RePEc:ecb:ecbwps:20121423
    as

    Download full text from publisher

    File URL: https://www.ecb.europa.eu/pub/pdf/scpwps/ecbwp1423.pdf
    Download Restriction: no

    Other versions of this item:

    References listed on IDEAS

    as
    1. Aoki, Kosuke & Proudman, James & Vlieghe, Gertjan, 2004. "House prices, consumption, and monetary policy: a financial accelerator approach," Journal of Financial Intermediation, Elsevier, vol. 13(4), pages 414-435, October.
    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. Christiano, Lawrence & Motto, Roberto & Rostagno, Massimo, 2008. "Shocks, structures or monetary policies? The Euro Area and US after 2001," Journal of Economic Dynamics and Control, Elsevier, vol. 32(8), pages 2476-2506, August.
    4. Matteo Iacoviello, 2005. "House Prices, Borrowing Constraints, and Monetary Policy in the Business Cycle," American Economic Review, American Economic Association, vol. 95(3), pages 739-764, June.
    5. Lombardo, Giovanni & McAdam, Peter, 2012. "Financial market frictions in a model of the Euro area," Economic Modelling, Elsevier, vol. 29(6), pages 2460-2485.
    6. Dieppe, Alistair & González Pandiella, Alberto & Willman, Alpo, 2012. "The ECB's New Multi-Country Model for the euro area: NMCM — Simulated with rational expectations," Economic Modelling, Elsevier, vol. 29(6), pages 2597-2614.
    7. 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.
    8. Finn, Mary G., 1995. "Variance properties of Solow's productivity residual and their cyclical implications," Journal of Economic Dynamics and Control, Elsevier, vol. 19(5-7), pages 1249-1281.
    9. Kok, Christoffer & Lichtenberger, Jung-Duk, 2007. "Mortgage interest rate dispersion in the euro area," Working Paper Series 733, European Central Bank.
    10. Warne, Anders & Coenen, Günter & Christoffel, Kai, 2008. "The new area-wide model of the euro area: a micro-founded open-economy model for forecasting and policy analysis," Working Paper Series 944, European Central Bank.
    11. 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.
    12. 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.
    13. Alistair Dieppe & Alberto González Pandiella & Stephen Hall & Alpo Willman, 2011. "The ECB's New Multi-Country Model for the Euro area: NMCM - with Boundedly Rational Learning Expectations," Discussion Papers in Economics 11/27, Department of Economics, University of Leicester.
    14. Matteo Iacoviello & Stefano Neri, 2010. "Housing Market Spillovers: Evidence from an Estimated DSGE Model," American Economic Journal: Macroeconomics, American Economic Association, vol. 2(2), pages 125-164, April.
    15. 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.
    16. Fagan, Gabriel & Henry, Jérôme & Mestre, Ricardo, 2001. "An area-wide model (AWM) for the euro area," Working Paper Series 0042, European Central Bank.
    17. Goffe William L., 1996. "SIMANN: A Global Optimization Algorithm using Simulated Annealing," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 1(3), pages 1-9, October.
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

    bayesian estimation; decompositions; DSGE modeling; euro area; financial frictions; simulation;

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications

    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:ecb:ecbwps:20121423. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Official Publications). General contact details of provider: http://edirc.repec.org/data/emieude.html .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.