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Interactions between eurozone and US booms and busts: A Bayesian panel Markov-switching VAR model

Monica Billio (), Roberto Casarin (), Francesco Ravazzolo () and Herman van Dijk

No No 8/2014, Working Papers from Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School

Abstract: Interactions between eurozone and United States booms and busts and among major eurozone economies are analyzed by introducing a panel Markov-switching VAR model. The model is well suitable for a multi-country cyclical analysis and accommodates changes in low and high data frequencies and endogenous time-varying transition matrices of the country-specific Markov chains. The transition matrix of each Markov chain depends on its own past history and on the history of other chains, thus allowing for modelling the interactions between cycles. An endogenous common eurozone cycle is derived by aggregating country-specific cycles. The model is estimated using a simulation based Bayesian approach in which an efficient multi-move algorithm is defined to draw time-varying Markov-switching chains. Using real and financial data on industrial production growth and credit spread for all countries, our main empirical results are as follows. Recession, slow recovery and expansion are empirically identified as three regimes with slow recovery becoming persistent in the eurozone in recent years differing from the US. US and eurozone cycles are not fully synchronized over the 1991-2013 period, with evidence of more recessions in the eurozone, in particular during the 90’s. Larger synchronization across regions occurs at beginning of the financial crisis but recently more heterogeneity takes place. Cluster analysis yields a group of core countries: Germany, France and Netherlands and a group of peripheral countries Spain and Italy. Reinforcement effects in the recession probabilities and in the probabilities of exiting recessions occur for both eurozone and US with substantial differences in phase transitions within the eurozone. Finally, credit spreads provide accurate predictive content for business cycle fluctuations. A credit shock results in statistically significant negative industrial production growth for several months in Germany, Spain and US. Our empirical result may serve as important information for the specification of a coordinated policy between the eurozone and the US and within the eurozone.

Keywords: Bayesian Modelling; Panel VAR; Markov-switching; International Business Cycles; Interaction mechanisms (search for similar items in EconPapers)
JEL-codes: C11 C15 C53 E37 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-eec, nep-mac and nep-ore
Date: 2014-11
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Related works:
Working Paper: Interactions between Eurozone and US Booms and Busts: A Bayesian Panel Markov-switching VAR Model (2014) Downloads
Working Paper: Interactions between eurozone and US booms and busts: A Bayesian panel Markov-switching VAR model (2014) Downloads
Working Paper: Interactions between eurozone and US booms and busts: A Bayesian panel Markov-switching VAR model (2013) Downloads
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