<abstract xmlns="http://www.w3.org/1999/xhtml"><p>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.</p></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.

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

Econometrics

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

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...

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

Publié en ligne: 24 sept. 2019

Pages: 15 - 25

DOI: https://doi.org/10.15611/eada.2019.3.02

Mots clés
happiness, the European Union, symbolic data analysis, ensemble clustering

© 2019 Marcin Pełka, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

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

Publié en ligne: 24 sept. 2019

Pages: 15 - 25

DOI: https://doi.org/10.15611/eada.2019.3.02

Mots cléshappiness, the European Union, symbolic data analysis, ensemble clustering

© 2019 Marcin Pełka, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Mots clés
happiness, the European Union, symbolic data analysis, ensemble clustering