2012
DOI: 10.1007/s10663-012-9205-8
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Has the Euro changed business cycle synchronization? Evidence from the core and the periphery

Abstract: Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in… Show more

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Cited by 50 publications
(36 citation statements)
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“…These findings suggest the existence in the euro period of both output synchronisation (see, for instance, Lehwald, 2012) and more structural differences. More specifically, it seems that trade intensity has led to higher business cycle correlation only among the core countries, but not in the case of the periphery.…”
Section: Rolling Averagesmentioning
confidence: 79%
“…These findings suggest the existence in the euro period of both output synchronisation (see, for instance, Lehwald, 2012) and more structural differences. More specifically, it seems that trade intensity has led to higher business cycle correlation only among the core countries, but not in the case of the periphery.…”
Section: Rolling Averagesmentioning
confidence: 79%
“…Business cycles may diverge even between neighbouring countries when their economic development stages, structures or behaviours diverge. Employing a dynamic factor model (specifying a euro factor, country factors and idiosyncratic factors specific to each time series), Lehwald (2012) compares a pre-euro period (1991)(1992)(1993)(1994)(1995)(1996)(1997)(1998) to a euro period (2000)(2001)(2002)(2003)(2004)(2005)(2006)(2007)(2008)(2009)(2010) by decomposing macroeconomic fluctuations in output, consumption and investment changes. Her results suggest that, with the introduction of the euro, business cycle synchronisation was enhanced for core members while it weakened for periphery countries.…”
Section: Figure 3: Symmetry and Openness In Monetary Unionsmentioning
confidence: 99%
“…In our empirical analysis, we start with a comparison of simple correlation coefficients, but continue with both parametric and nonparametric estimations in the spirit of 2 There exists no exact definition as to which countries belong to the core or to the periphery. With regards to the latter, the literature nearly unanimously includes Portugal, Spain, Ireland and Greece, with Italy being sometimes excluded (Lehwald, 2013). For the former, we follow a geographical definition and include France in the group of core countries, as opposed to studies clustering along country-specific economic policies (Schäfer, 2016).…”
Section: Introductionmentioning
confidence: 99%
“…The tumultuous period of the financial crisis and the following sovereign debt crisis brought deep economic imbalances within the EMU to the limelight (Lane, 2012 (Harding andPagan, 2002, 2006;Artis et al, 2004;Grigoraş and Stanciu, 2016), dynamic factor models (Lee, 2013;Lehwald, 2013;Kose et al, 2003), dynamic correlations (Croux et al, 2001;Fidrmuc and Korhonen, 2010), rolling coefficients (Gayer, 2007), correlation coefficients (Furceri and Karras, 2008) We focus on gross domestic product as our main indicator for business cycle movements for two reasons: it is (i) the most comprehensive measure for aggregate economic activity and (ii) the most widely used and accepted measure in the academic literature and in the general public Grigoraş and Stanciu, 2016). …”
mentioning
confidence: 99%