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  • Well-being itself has multiple, very complex definitions, in which the extent of the necessary variables (both objective and subjective) indicates a wide range. It is ``officially'' recognized since 2009---the year of the Stiglitz Report---that Gross Domestic Product is not an all-powerful indicator. It has a specific purpose, however, it cannot be used to measure such a multidimensional phenomenon as well-being. The construction of an indicator to measure well-being is usually motivated by the aim of making comparisons or that of supporting policy decisions. The role of the indicator drives the amount and type of the collected variables. There are several popular and less frequently used measures for well-being with different contents, concepts, and objectives. This paper tackles the most recent trends in well-being measures through the collection of ten indicators and concepts. The author will compare the content of these measures to indicate supreme (the most relevant) dimensions. The final aim is to give a comprehensive list of those characteristics and criteria that must be taken into account when a complex well-being indicator is proposed. (xsd:string)
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  • https://doi.org/10.1007/978-981-15-3311-2_34. (SILC) (xsd:string)
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  • EU-SILC-Bibliography (xsd:string)
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  • 2020 (xsd:gyear)
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  • 2020 (xsd:gyear)
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  • 10.1007/978-981-15-3311-2_34 ()
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  • 431 (xsd:string)
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  • english (xsd:string)
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  • 978-981-15-3311-2 ()
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  • Well-Being Measures (xsd:string)
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  • Advanced Studies in Classification and Data Science (xsd:string)
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  • Bibsonomy (xsd:string)
  • In Advanced Studies in Classification and Data Science, edited by Imaizumi, Tadashi and Okada, Akinori and Miyamoto, Sadaaki and Sakaori, Fumitake and Yamamoto, Yoshiro and Vichi, Maurizio, 431-443, Springer, 2020 (xsd:string)
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  • European Union Statistics on Income and Living Conditions (EU-SILC) (xsd:string)
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  • 2020 (xsd:string)
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  • 443 (xsd:string)
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