Work detail

Hierarchical Structure Analysis with Applications to the EU Member States Convergence

Author: Bc. Vojtěch Fučík
Year: 2014 - summer
Leaders: prof. PhDr. Ladislav Krištoufek Ph.D.
Consultants:
Work type: Bachelors
Language: English
Pages: 111
Awards and prizes:
Link: https://is.cuni.cz/webapps/zzp/detail/136890/
Abstract: The main objective of this thesis is to summarize and possibly extend the
existing methodology on correlation matrix ltering, hierarchical clustering
and topological classi cation in the economic networks. In the thesis we use
classical MST/HT approach supplemented by edges stability analysis and
centrality measures analysis. Graphical objects MST and HT enable us to
nd relations among the elements of the network. Centrality measures anal-
ysis helps us to nd the hubs in the network and stability analysis determines
the reliability of the resulting model. Presented methodology is then utilized
for convergence analysis in the EU and for analysis of clusters in the EU's
MSTs and HTs. We detected large clusters of former communist countries
for every economic indicator, clusters based on geographical location such
as Nordic, Baltic, BENELUX or former ECSC countries and a cluster of
PIGS countries. We also found that Spain plays a role of a central node in
debt/de cit indicator analysis which made us to express our concerns about
potential future problems.
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