The starting point of this paper has been the consideration that the use of GDP as an indicator of the well-being nowadays is not sufficient to describe the economic situation of a country in terms of sustainable well-being in Italian Benessere Equo Sostenibile (BES). The Italian National Institute of Statistics (ISTAT) consider a multidimensional approach to measure equitable and sustainable well-being. Following this approach we have chosen a certain number of indicators, on the basis of their features, i.e. Health, Education, Work and life balance, Economic well-being, Social relationships, Politics and institutions, Security, Landscape and cultural heritage, Environment. These indicators can help in describing the territories in particular in our case the provinces (NUTS3). To have a description of some aspects of the economic situation multivariate analysis have been applied. The new idea regards the application of decision trees. We consider both classification and regression trees; two different variables have been choosen. As regards classification trees the dependent variable is Macroregion while for regression trees dependent variable is Life Expectancy at Birth.

On an analysis on some indicators of well-being in Italy

Gabriella Schoier
;
2022-01-01

Abstract

The starting point of this paper has been the consideration that the use of GDP as an indicator of the well-being nowadays is not sufficient to describe the economic situation of a country in terms of sustainable well-being in Italian Benessere Equo Sostenibile (BES). The Italian National Institute of Statistics (ISTAT) consider a multidimensional approach to measure equitable and sustainable well-being. Following this approach we have chosen a certain number of indicators, on the basis of their features, i.e. Health, Education, Work and life balance, Economic well-being, Social relationships, Politics and institutions, Security, Landscape and cultural heritage, Environment. These indicators can help in describing the territories in particular in our case the provinces (NUTS3). To have a description of some aspects of the economic situation multivariate analysis have been applied. The new idea regards the application of decision trees. We consider both classification and regression trees; two different variables have been choosen. As regards classification trees the dependent variable is Macroregion while for regression trees dependent variable is Life Expectancy at Birth.
2022
2022
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11368/3049618
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