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Convergence and Heterogeneity in Euro Based Economies: Stability and Dynamics

机译:基于欧元的经济体的趋同与异质性:稳定性与动态

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Cluster analysis is used to explore the performance of key macroeconomic variables in European countries that share the euro, from the inception of the currency in 2002 through to 2013. An original applied statistical approach searches for a pattern synthesis across a matrix of macroeconomic data to examine if there is evidence for country clusters and whether there is convergence of the cluster patterns over time. A number of different clusters appear and these change over time as the economies of the member states dynamically interact. This includes some new countries joining the currency during the period of examination. As found in previous research, Southern European countries tend to remain separate from other countries. The new methods used, however, add to an understanding of some differences between Southern European countries, in addition to replicating their broad similarities. Hypotheses are formed about the country clusters existing in 2002, 2006 and 2013, at key points in time of the euro integration process. These hypotheses are tested using the rigour of a bivariate analysis and the multivariate method of Qualitative Comparative Analysis (QCA). The results confirm the hypotheses of cluster memberships in all three periods. The confirmation analysis provides evidence about which variables are most influencing cluster memberships at each time point. In 2002 and 2006, differences between countries are influenced by their different Harmonised Index of Consumer Prices (HICP) and labour productivity scores. In 2013, after the crisis, there is a noticeable change. Long term interest rates and gross government debt become key determinants of differences, in addition to the continuing influence of labour productivity. The paper concludes that in the last decade the convergence of countries sharing the euro has been limited, by the joining of new countries and the circumstances of the global economic crisis. The financial crisis has driven divergences from pre-existing integration. Country convergence needs to be understood as a dynamic and multivariate concept. This is a significant development of convergence theory and is an addition to how the concept has been understood previously.
机译:从2002年货币诞生到2013年,使用聚类分析探索了共享欧元的欧洲国家/地区主要宏观经济变量的绩效。一种原始的应用统计方法在整个宏观经济数据矩阵中搜索模式合成,以检验是否有国家集群的证据,以及集群模式随时间推移是否趋同。出现了许多不同的集群,并且随着成员国的经济动态互动而随着时间而变化。这包括在审查期间加入货币的一些新国家。如先前的研究发现,南欧国家往往与其他国家保持分离。但是,除了复制它们的广泛相似之处之外,所使用的新方法还使人们更加了解南欧国家之间的某些差异。在2002年,2006年和2013年欧元一体化进程的关键时刻,对存在的国家集群形成了假设。这些假设使用严格的双变量分析和定性比较分析(QCA)的多元方法进行检验。结果证实了在所有三个时期中集群成员的假设。确认分析提供了有关在每个时间点哪些变量对集群成员的影响最大的证据。在2002年和2006年,国家之间的差异受到其不同的消费价格统一指数(HICP)和劳动生产率得分的影响。危机过后的2013年,情况发生了明显变化。除了劳动生产率的持续影响之外,长期利率和政府债务总额也成为差异的关键决定因素。本文的结论是,在过去的十年中,由于新国家的加入和全球经济危机的情况,共享欧元的国家的融合受到了限制。金融危机使先前存在的整合产生了分歧。国家融合需要被理解为一个动态的多变量概念。这是收敛理论的重大发展,并且是对先前已经理解该概念的补充。

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