Analysis of happiness in EU countries using the multi-model classification based on models of symbolic data Cover Image

Analiza zadowolenia w krajach Unii Europejskiej z zastosowaniem wielomodelowej klasyfikacji opartej na modelach danych symbolicznych
Analysis of happiness in EU countries using the multi-model classification based on models of symbolic data

Author(s): Marcin Pełka
Subject(s): National Economy
Published by: Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
Keywords: happiness; the European Union; symbolic data analysis; ensemble clustering;

Summary/Abstract: The results of happiness analysis are presented in the form of a World Happiness Report that covers 156 countries and 17 different indicators. In the article model-based clustering ensemble is built to determine what selected European countries have similar patterns of happiness. The results are analyzed using multidimensional scaling and a decision tree to find out what factors determine cluster memberships. In the empirical part, three clusters were detected The first contains countries: Austria, Denmark, Finland, Germany, Ireland, Luxembourg, the Netherlands, Norway, Sweden, Switzerland and the United Kingdom. They have the highest values for all the variables, except the negative affect. The second cluster contains seven countries: Bulgaria, Estonia, Hungary, Lithuania, Poland, Romania and Slovakia. This cluster is also the most homogeneous one. The third cluster contains eight countries: Cyprus, the Czech Republic, France, Greece, Italy, Portugal, Slovenia and Spain.

  • Issue Year: 23/2019
  • Issue No: 3
  • Page Range: 15-25
  • Page Count: 11
  • Language: English
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