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dc.contributor.authorBillio, Monica
dc.contributor.authorCasarin, Roberto
dc.contributor.authorRavazzolo, Francesco
dc.contributor.authorvan Dijk, Herman K.
dc.contributor.editorBI Norwegian Business School
dc.date.accessioned2015-11-18T13:54:07Z
dc.date.available2014
dc.date.issued2014
dc.identifier.issn1892-2198
dc.identifier.urihttp://hdl.handle.net/11250/2364552
dc.description.abstractInteractions 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 eficient 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 e ects in the recession probabilities and in the probabilities of exiting recessions occur for both eurozone and US with substantial di erences in phase transitions within the eurozone. Finally, credit spreads provide accurate predictive content for business cycle uctuations. 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.nb_NO
dc.language.isoengnb_NO
dc.relation.ispartofseriesCAMP Working Papers Series; 8/2014
dc.subjectbayesian modellingnb_NO
dc.subjectpanel VARnb_NO
dc.subjectmarkov-switchingnb_NO
dc.subjectinternational business cyclesnb_NO
dc.subjectinteraction mechanismsnb_NO
dc.titleInteractions between eurozone and US booms and busts: A Bayesian panel Markov-switching VAR modelnb_NO
dc.typeWorking papernb_NO
dc.source.pagenumber62nb_NO


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