An Analysis of the Subjective Well-Being in the Italian Regions Through an ANN Algorithm

Cosimo Magazzino (), Marco Mele (), Antonia Rosa Gurrieri () and Giovanna Morelli ()
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Cosimo Magazzino: Roma Tre University
Marco Mele: “Niccolò Cusano” University
Antonia Rosa Gurrieri: University of Foggia
Giovanna Morelli: University of Teramo

Journal of the Knowledge Economy, 2024, vol. 15, issue 4, No 72, 17472-17497

Abstract: Abstract This research aims to analyze the determinants of subjective well-being in the Italian regions. To this extent, a new ISTAT-BES database has been used, with data for the Italian regions between 2004 and 2021. An artificial neural network (ANN) experiment was conducted to explore the link among these variables. Empirical findings show that subjective well-being is positively associated with education, income, and social relations. Our results align with those provided by past studies on the determinants of subjective well-being. These results imply that governments should improve subjective well-being by increasing the level of investment in education, deepening economic growth, reducing income inequality, and promoting social relations.

Keywords: Subjective well-being; Education; Inequality; Social relations; Italian regions; Artificial neural networks (search for similar items in EconPapers)
JEL-codes: D63 I25 I31 (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1007/s13132-024-01817-z

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