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Debunking the Myth of Southern Profligacy. A DSGE Analysis of Business Cycles in the EMU’s Big Four

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  • Alice, Albonico
  • Roberta, Cardani
  • Patrizio, Tirelli

Abstract

We investigate the drivers of EMU big fours' business cycles in a DSGE model. Our approach allows to disentangle the role of demand and technology shocks, where the latter may generate permanent consequences on national productivity levels. For the years before the financial crisis we cannot find evidence of a demand-driven boom in Spain and Italy relative to what happened in France and Germany. The aftermath of the sovereign bond crisis was characterized by a sequence of adverse permanent technology shocks both in Spain and in Italy. These latter results are consistent with recent theoretical developments that emphasize the adverse supply-side effects of a credit crunch.

Suggested Citation

  • Alice, Albonico & Roberta, Cardani & Patrizio, Tirelli, 2017. "Debunking the Myth of Southern Profligacy. A DSGE Analysis of Business Cycles in the EMU’s Big Four," Working Papers 373, University of Milano-Bicocca, Department of Economics, revised 05 Nov 2017.
  • Handle: RePEc:mib:wpaper:373
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    References listed on IDEAS

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    1. Jesús Fernández-Villaverde & Luis Garicano & Tano Santos, 2013. "Political Credit Cycles: The Case of the Eurozone," Journal of Economic Perspectives, American Economic Association, vol. 27(3), pages 145-166, Summer.
    2. Valérie Chouard & Daniel Fuentes Castro & Delphine Irac & Matthieu Lemoine, 2014. "Assessing the losses in euro area potential productivity due to the financial crisis," Applied Economics, Taylor & Francis Journals, vol. 46(23), pages 2711-2720, August.
    3. Miles S. Kimball & John G. Fernald & Susanto Basu, 2006. "Are Technology Improvements Contractionary?," American Economic Review, American Economic Association, vol. 96(5), pages 1418-1448, December.
    4. Fabio Canova & Filippo Ferroni, 2011. "Multiple filtering devices for the estimation of cyclical DSGE models," Quantitative Economics, Econometric Society, vol. 2(1), pages 73-98, March.
    5. Coenen, Günter & Straub, Roland & Trabandt, Mathias, 2013. "Gauging the effects of fiscal stimulus packages in the euro area," Journal of Economic Dynamics and Control, Elsevier, vol. 37(2), pages 367-386.
    6. Elisa Gamberoni & Claire Giordano & Paloma Lopez-Garcia, 2016. "Capital and labour (mis)allocation in the euro area: Some stylized facts and determinants," Questioni di Economia e Finanza (Occasional Papers) 349, Bank of Italy, Economic Research and International Relations Area.
    7. 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.
    8. Kolasa, Marcin, 2009. "Structural heterogeneity or asymmetric shocks? Poland and the euro area through the lens of a two-country DSGE model," Economic Modelling, Elsevier, vol. 26(6), pages 1245-1269, November.
    9. Aubhik Khan & Julia K. Thomas, 2013. "Credit Shocks and Aggregate Fluctuations in an Economy with Production Heterogeneity," Journal of Political Economy, University of Chicago Press, vol. 121(6), pages 1055-1107.
    10. 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.
    11. Albonico, Alice & Paccagnini, Alessia & Tirelli, Patrizio, 2016. "In search of the Euro area fiscal stance," Journal of Empirical Finance, Elsevier, vol. 39(PB), pages 254-264.
    12. 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.
    13. Canova, Fabio, 2014. "Bridging DSGE models and the raw data," Journal of Monetary Economics, Elsevier, vol. 67(C), pages 1-15.
    14. Raf Wouters & Frank Smets, 2005. "Comparing shocks and frictions in US and euro area business cycles: a Bayesian DSGE Approach," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(2), pages 161-183.
    15. Vicente Tuesta & Pau Rabanal, 2006. "Euro-Dollar Real Exchange Rate Dynamics in an Estimated Two-Country Model; What is Important and What is Not," IMF Working Papers 06/177, International Monetary Fund.
    16. De Grauwe, Paul & Ji, Yuemei, 2013. "Self-fulfilling crises in the Eurozone: An empirical test," Journal of International Money and Finance, Elsevier, vol. 34(C), pages 15-36.
    17. Cette, Gilbert & Fernald, John & Mojon, Benoît, 2016. "The pre-Great Recession slowdown in productivity," European Economic Review, Elsevier, vol. 88(C), pages 3-20.
    18. Michel Juillard & Charles Freedman & Dmitry Korshunov & Douglas Laxton & Ondrej Kamenik & Ioan Carabenciov & Igor Ermolaev & Jared Laxton, 2008. "A Small Quarterly Multi-Country Projection Model with Financial-Real Linkages and Oil Prices," IMF Working Papers 08/280, International Monetary Fund.
    19. Calvo, Guillermo A., 1983. "Staggered prices in a utility-maximizing framework," Journal of Monetary Economics, Elsevier, vol. 12(3), pages 383-398, September.
    20. Ferroni Filippo, 2011. "Trend Agnostic One-Step Estimation of DSGE Models," The B.E. Journal of Macroeconomics, De Gruyter, vol. 11(1), pages 1-36, July.
    21. Susanto Basu, 1996. "Procyclical Productivity: Increasing Returns or Cyclical Utilization?," The Quarterly Journal of Economics, Oxford University Press, vol. 111(3), pages 719-751.
    22. Frank Smets & Rafael Wouters, 2007. "Shocks and Frictions in US Business Cycles: A Bayesian DSGE Approach," American Economic Review, American Economic Association, vol. 97(3), pages 586-606, June.
    23. Robert Amano & Malik Shukayev, 2012. "Risk Premium Shocks and the Zero Bound on Nominal Interest Rates," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 44(8), pages 1475-1505, December.
    24. Alice Albonico & Alessia Paccagnini & Patrizio Tirelli, 2014. "Estimating a DSGE model with Limited Asset Market Participation for the Euro Area," Working Papers 286, University of Milano-Bicocca, Department of Economics, revised Nov 2014.
    25. repec:eee:jimfin:v:77:y:2017:i:c:p:77-98 is not listed on IDEAS
    26. Ratto, Marco & Roeger, Werner & Veld, Jan in 't, 2009. "QUEST III: An estimated open-economy DSGE model of the euro area with fiscal and monetary policy," Economic Modelling, Elsevier, vol. 26(1), pages 222-233, January.
    27. Stephane Dees & M. Hashem Pesaran & L. Vanessa Smith & Ron P. Smith, 2014. "Constructing Multi-Country Rational Expectations Models," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 76(6), pages 812-840, December.
    28. Francisco Buera & Roberto Fattal-Jaef & Yongseok Shin, 2015. "Anatomy of a Credit Crunch: From Capital to Labor Markets," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 18(1), pages 101-117, January.
    29. 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.
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    More about this item

    Keywords

    Asymmetric Euro crisis; two-country DSGE; Bayesian estimation;

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: 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
    • E21 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Consumption; Saving; Wealth
    • 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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