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Financial frictions in the euro area: a Bayesian assessment

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  • Villa, Stefania

Abstract

This paper compares from a Bayesian perspective three dynamic stochastic general equilibrium models in order to analyse whether financial frictions are empirically relevant in the Euro Area (EA) and, if so, which type of financial frictions is preferred by the data. The models are: (i) Smets and Wouters (2007) (SW); (ii) a SW model with financial frictions originating in non-financial firms à la Bernanke et al. (1999), (SWBGG); and (iii) a SW model with financial frictions originating in financial intermediaries, à la Gertler and Karadi (2011), (SWGK). The comparison between the three estimated models is made along different dimensions: (i) the Bayes factor; (ii) business cycle moments; and (iii) impulse response functions. The analysis of the Bayes factor and of simulated moments provides evidence in favour of the SWGK model. This paper also finds that the SWGK model outperforms the SWBGG model in forecasting EA inflationary pressures in a Phillips curve specification. JEL Classification: C11, E44

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  • Villa, Stefania, 2013. "Financial frictions in the euro area: a Bayesian assessment," Working Paper Series 1521, European Central Bank.
    • Handle: RePEc:ecb:ecbwps:20131521
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    3. Ricardo Félix & Gabriela Castro & José Maria & Paulo Júlio, 2013. "Fiscal Multipliers in a Small Euro Area Economy: How Big Can They Get in Crisis Times?," EcoMod2013 5307, EcoMod.
    4. Katuala, Hénock M., 2021. "Frictions financières et Dynamique macroéconomique : Examen des régularités cycliques," Dynare Working Papers 66, CEPREMAP.
    5. 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.
    6. Thomas Brand & Fabien Tripier, 2014. "Risk shocks and divergence between the Euro area and the US," Working Papers 2014-11, CEPII research center.
    7. Abdellah Manadir & Kevin Moran, 2018. "Optimal Bayesian Estimation of Financial Frictions: An Encompassing View," Cahiers de recherche 1816, Centre de recherche sur les risques, les enjeux économiques, et les politiques publiques.
    8. Leeper, Eric M. & Li, Bing, 2017. "Surplus–debt regressions," Economics Letters, Elsevier, vol. 151(C), pages 10-15.
    9. 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.
    10. Beck, Thorsten & Colciago, Andrea & Pfajfar, Damjan, 2014. "The role of financial intermediaries in monetary policy transmission," Journal of Economic Dynamics and Control, Elsevier, vol. 43(C), pages 1-11.
    11. Collingro, Franziska & Frenkel, Michael, 2020. "On the financial market impact of euro area monetary policy: A comparative study before and after the Global Financial Crisis," Global Finance Journal, Elsevier, vol. 45(C).
    12. Diniz, Andre & Guimaraes, Bernardo, 2014. "Financial disruption as a cost of sovereign default: a quantitative assessment," LSE Research Online Documents on Economics 86329, London School of Economics and Political Science, LSE Library.
    13. Javier García-Cicco & Markus Kirchner & Santiago Justel, 2015. "Domestic Financial Frictions and the Transmission of Foreign Shocks in Chile," Central Banking, Analysis, and Economic Policies Book Series, in: Claudio Raddatz & Diego Saravia & Jaume Ventura (ed.),Global Liquidity, Spillovers to Emerging Markets and Policy Responses, edition 1, volume 20, chapter 6, pages 159-222, Central Bank of Chile.

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    More about this item

    Keywords

    bayesian estimation; DSGE models; financial frictions;
    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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