2011
DOI: 10.25142/aak.2011.032
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Real Convergence Trends in Central and Eastern European Countries Towards Eurozone: Time-Varying Correlation Aproach

Abstract: The paper deals with an actual issue of the Euro adoption in the Central and Eastern European countries. The main goal is to assess the preparedness of candidate European countries to adopt the Euro from a perspective of the theory of Optimum Currency Areas (OCA). The measure of dynamic similarity of business cycles of selected Central and Eastern European countries (CEE), Baltic countries and the Eurozone was applied in the analysis. This measure indicates dynamic convergence trends of the CEE and Baltics tow… Show more

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Cited by 3 publications
(4 citation statements)
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“…Slovakia and Poland maintain similar levels of correlation since 2009; however, Slovakia has shown an increasing trend of correlation since 2007, meanwhile, Poland faced a downturn in correlation in 2008. These results are consistent with [25], [15] and [18]. 1…”
Section: Synchronization Of Business Cyclessupporting
confidence: 86%
See 1 more Smart Citation
“…Slovakia and Poland maintain similar levels of correlation since 2009; however, Slovakia has shown an increasing trend of correlation since 2007, meanwhile, Poland faced a downturn in correlation in 2008. These results are consistent with [25], [15] and [18]. 1…”
Section: Synchronization Of Business Cyclessupporting
confidence: 86%
“…The most recent literature confirms previous results and provides evidence on the continuing process of convergence. The study [25] analyzed business cycles synchronization of central and eastern European and Baltic countries using a rolling window correlation of GDP and industrial production time series. The results suggest changing convergence patterns and point to diverging trends in CEE countries between 2001 and 2007.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Much of the previous literature suggests that synchronization changes over time. However, only few recent studies examined synchronization in a time-varying environment (see, for example, Fidrmuc and Korhonen, 2010;Savva et al, 2010;Rozmahel, 2011;Fidrmuc et al, 2012). Fidrmuc et al (2012) and Fidrmuc and Korhonen (2010) develop a frequency-domain dynamic correlation model.…”
Section: Review Of the Literaturementioning
confidence: 99%
“…() and Fidrmuc and Korhonen () develop a frequency‐domain dynamic correlation model. Rozmahel (), on the other hand, identifies changes in business cycle synchronization in time‐domain, using rolling windows. Although this method has been used extensively in the literature, the frameworks applied in the present article have several advantages over rolling windows.…”
Section: Review Of the Literaturementioning
confidence: 99%