Analysis of Happiness in EU Countries Using the Multi-Model Classification based on Models of Symbolic Data

Pełka Marcin ()
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Pełka Marcin: Wrocław University of Economics, Wrocław, Poland

Econometrics. Advances in Applied Data Analysis, 2019, vol. 23, issue 3, 15-25

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.

Keywords: happiness; the European Union; symbolic data analysis; ensemble clustering (search for similar items in EconPapers)
JEL-codes: C38 C87 O52 (search for similar items in EconPapers)
Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:vrs:eaiada:v:23:y:2019:i:3:p:15-25:n:2

DOI: 10.15611/eada.2019.3.02

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