Econometrics = Ekonometria, 2019, Vol. 23, No. 3, s. 15-25
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
Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
doi:10.15611/eada.2019.3.02 ; oai:dbc.wroc.pl:72797
Econometrics = Ekonometria, 2019, Vol. 23, No. 3
Dla wszystkich zgodnie z licencją
2019-09-30
2019-09-17
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https://dbc.wroc.pl/publication/140897
Nazwa wydania | Data |
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Analysis of happiness in EU countries using the multi-model classification based on models of symbolic data | 2019-09-30 |
Pełka, Marcin
Pełka, Marcin
Pełka, Marcin
Zaborski, Artur Pełka, Marcin
Pełka, Marcin