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
    Note: 50336
    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. 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.
    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. 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.
    4. 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.
    5. Fagan, Gabriel & Henry, Jérôme & Mestre, Ricardo, 2001. "An area-wide model (AWM) for the euro area," Working Paper Series 42, European Central Bank.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. Kok, Christoffer & Lichtenberger, Jung-Duk, 2007. "Mortgage interest rate dispersion in the euro area," Working Paper Series 733, European Central Bank.
    11. 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.
    12. 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.
    13. 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.
    14. 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, Division of Economics, School of Business, University of Leicester.
    15. 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.
    16. Lombardo, Giovanni & McAdam, Peter, 2012. "Financial market frictions in a model of the Euro area," Economic Modelling, Elsevier, vol. 29(6), pages 2460-2485.
    17. 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. Falagiarda, Matteo & Saia, Alessandro, 2017. "Credit, Endogenous Collateral and Risky Assets: A DSGE Model," International Review of Economics & Finance, Elsevier, vol. 49(C), pages 125-148.
    2. 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.
    3. Matthieu Darracq Paries, 2018. "Financial frictions and monetary policy conduct," Erudite Ph.D Dissertations, Erudite, number ph18-01 edited by Ferhat Mihoubi, December.
    4. 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.
    5. Christiano, Lawrence & Motto, Roberto & Rostagno, Massimo, 2010. "Financial factors in economic fluctuations," Working Paper Series 1192, European Central Bank.
    6. Ian Christensen & Paul Corrigan & Caterina Mendicino & Shin‐Ichi Nishiyama, 2016. "Consumption, housing collateral and the Canadian business cycle," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 49(1), pages 207-236, February.
    7. Stijn Claessens & M Ayhan Kose, 2018. "Frontiers of macrofinancial linkages," BIS Papers, Bank for International Settlements, number 95.
    8. repec:zbw:bofrdp:2016_016 is not listed on IDEAS
    9. Dominic Quint & Pau Rabanal, 2014. "Monetary and Macroprudential Policy in an Estimated DSGE Model of the Euro Area," International Journal of Central Banking, International Journal of Central Banking, vol. 10(2), pages 169-236, June.
    10. Mendicino, Caterina & Punzi, Maria Teresa, 2014. "House prices, capital inflows and macroprudential policy," Journal of Banking & Finance, Elsevier, vol. 49(C), pages 337-355.
    11. 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.
    12. Brzoza-Brzezina, Michał & Kolasa, Marcin & Makarski, Krzysztof, 2013. "The anatomy of standard DSGE models with financial frictions," Journal of Economic Dynamics and Control, Elsevier, vol. 37(1), pages 32-51.
    13. Frank Smets & Kai Christoffel & Günter Coenen & Roberto Motto & Massimo Rostagno, 2010. "DSGE models and their use at the ECB," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 1(1), pages 51-65, March.
    14. PIROVANO, Mara, 2013. "Household and firm leverage, capital flows and monetary policy in a small open economy," Working Papers 2013014, University of Antwerp, Faculty of Business and Economics.
    15. Shin-Ichi Nishiyama, 2011. "How Important are Financial Shocks for the Canadian Business Cycle?," TERG Discussion Papers 276, Graduate School of Economics and Management, Tohoku University.
    16. Kilponen, Juha & Orjasniemi, Seppo & Ripatti, Antti & Verona, Fabio, 2016. "The Aino 2.0 model," Research Discussion Papers 16/2016, Bank of Finland.
    17. 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.
    18. Axel A Weber & Rafael Gerke & Andreas Worms, 2009. "Has the monetary transmission process in the euro area changed? Evidence vased on VAR estimates," BIS Working Papers 276, Bank for International Settlements.
    19. Mr. Jan Vlcek & Mr. Scott Roger, 2012. "Macrofinancial Modeling At Central Banks: Recent Developments and Future Directions," IMF Working Papers 2012/021, International Monetary Fund.
    20. Mădălin VIZINIUC, 2015. "Assessing the impact of financial disturbances on the Romanian business cycle fluctuations," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania - AGER, vol. 0(Special(I), pages 305-320.
    21. 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.

    More about this item

    Keywords

    bayesian estimation; decompositions; DSGE modeling; euro area; financial frictions; simulation;
    All these keywords.

    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.

    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: Official Publications (email available below). General contact details of provider: https://edirc.repec.org/data/emieude.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.