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Financial market frictions in a model of the Euro area

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  • Lombardo, Giovanni
  • McAdam, Peter

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 emphasises 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.

Suggested Citation

  • Lombardo, Giovanni & McAdam, Peter, 2012. "Financial market frictions in a model of the Euro area," Economic Modelling, Elsevier, vol. 29(6), pages 2460-2485.
  • Handle: RePEc:eee:ecmode:v:29:y:2012:i:6:p:2460-2485 DOI: 10.1016/j.econmod.2012.06.024
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    1. Brzoza-Brzezina, Michał & Kolasa, Marcin & Makarski, Krzysztof, 2015. "Macroprudential policy and imbalances in the euro area," Journal of International Money and Finance, Elsevier, pages 137-154.
    2. Jacquinot, Pascal & Pisani, Massimiliano & Gomes, Sandra & Bokan, Nikola & Gerali, Andrea, 2016. "EAGLE-FLI. A macroeconomic model of banking and financial interdependence in the euro area," Working Paper Series 1923, European Central Bank.
    3. Brzoza-Brzezina, Michał & Kolasa, Marcin & Makarski, Krzysztof, 2015. "A penalty function approach to occasionally binding credit constraints," Economic Modelling, Elsevier, vol. 51(C), pages 315-327.
    4. Binder, Michael & Lieberknecht, Philipp & Quintana, Jorge & Wieland, Volker, 2017. "Model Uncertainty in Macroeconomics: On the Implications of Financial Frictions," CEPR Discussion Papers 12013, C.E.P.R. Discussion Papers.
    5. Tony Hall & Jan Jacobs & Adrian Pagan, "undated". "Macro-Econometric System Modelling @75," NCER Working Paper Series 95, National Centre for Econometric Research.
    6. Federico GIRI, 2014. "Does Interbank Market Matter for Business Cycle Fluctuation? An Estimated DSGE Model with Financial Frictions for the Euro Area," Working Papers 398, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    7. Pagan, Adrian & Robinson, Tim, 2014. "Methods for assessing the impact of financial effects on business cycles in macroeconometric models," Journal of Macroeconomics, Elsevier, vol. 41(C), pages 94-106.
    8. McAdam, Peter & Willman, Alpo, 2008. "Medium run redux: technical change, factor shares and frictions in the euro area," Working Paper Series 915, European Central Bank.
    9. 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.
    10. Jakob Palek, 2015. "The Optimal Monetary and Fiscal Policy Mix in a Financially Heterogeneous Monetary Union," MAGKS Papers on Economics 201506, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    11. Palek, Jakob, 2015. "The Optimal Monetary and Fiscal Policy Mix in a Financially Heterogeneous Monetary Union," Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 113047, Verein für Socialpolitik / German Economic Association.
    12. Kamber, Günes & Smith, Christie & Thoenissen, Christoph, 2015. "Financial frictions and the role of investment-specific technology shocks in the business cycle," Economic Modelling, Elsevier, pages 571-582.
    13. Marcin Kolasa & Giovanni Lombardo, 2014. "Financial Frictions and Optimal Monetary Policy in an Open Economy," International Journal of Central Banking, International Journal of Central Banking, vol. 10(1), pages 43-94, March.
    14. Palek, Jakob & Schwanebeck, Benjamin, 2017. "Financial frictions and optimal stabilization policy in a monetary union," Economic Modelling, Elsevier, vol. 61(C), pages 462-477.
    15. Giovanni Lombardo & Peter McAdam, 2010. "Incorporating financial frictions into new-generation macro models," Research Bulletin, European Central Bank, vol. 9, pages 13-16.
    16. Thomas Brand & Fabien Tripier, 2014. "Risk shocks and divergence between the Euro area and the US," Working Papers 2014-11, CEPII research center.
    17. Suh, Hyunduk & Walker, Todd B., 2016. "Taking financial frictions to the data," Journal of Economic Dynamics and Control, Elsevier, vol. 64(C), pages 39-65.
    18. Falagiarda, Matteo & Saia, Alessandro, 2017. "Credit, Endogenous Collateral and Risky Assets: A DSGE Model," International Review of Economics & Finance, Elsevier, pages 125-148.
    19. Kilponen, Juha & Orjasniemi, Seppo & Ripatti, Antti & Verona, Fabio, 2016. "The Aino 2.0 model," Research Discussion Papers 16/2016, Bank of Finland.
    20. Angela Maddaloni & José-Luis Peydró, 2010. "Bank lending standards and the origins and implications of the current banking crisis," Research Bulletin, European Central Bank, vol. 9, pages 6-9.
    21. Fiorella De Fiore & Oreste Tristani, 2010. "Financial conditions and monetary policy," Research Bulletin, European Central Bank, vol. 9, pages 10-12.
    22. Lombardo, Giovanni & McAdam, Peter, 2012. "Financial market frictions in a model of the Euro area," Economic Modelling, Elsevier, vol. 29(6), pages 2460-2485.
    23. 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.
    24. Rasaki, Mutiu Gbade & Malikane, Christopher, 2015. "Macroeconomic shocks and fluctuations in African economies," Economic Systems, Elsevier, vol. 39(4), pages 675-696.
    25. Cornelia Holthausen & Huw Pill, 2010. "The forgotten markets: How understanding money markets helps us to understand the financial crisis," Research Bulletin, European Central Bank, vol. 9, pages 2-5.

    More about this item

    Keywords

    Financial frictions; Euro area; DSGE modeling; Bayesian estimation; Simulation; Decompositions;

    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

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