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Modeling “Equitable and Sustainable Well-being” (BES) Using Bayesian Networks: A Case Study of the Italian Regions

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  • Federica Onori

    (University of Rome La Sapienza)

  • Giovanna Jona Lasinio

    (University of Rome La Sapienza)

Abstract

Measurement of well-being has been a highly debated topic since the end of the last century. While some specific aspects are still open issues, a multidimensional approach as well as the construction of shared and well-rooted systems of indicators are now accepted as the main route to measure this complex phenomenon. A meaningful effort, in this direction, is that of the Italian “Equitable and Sustainable Well-being” (BES) system of indicators, developed by the Italian National Institute of Statistics (ISTAT) and the National Council for Economics and Labour (CNEL). The BES framework comprises a number of atomic indicators measured yearly at regional level and reflecting the different domains of well-being (e.g. Health, Education, Work & Life Balance, Environment,...). In this work we aim at dealing with the multidimensionality of the BES system of indicators and try to answer three main research questions: (I) What is the structure of the relationships among the BES atomic indicators; (II) What is the structure of the relationships among the BES domains; (III) To what extent the structure of the relationships reflects the current BES theoretical framework. We address these questions by implementing Bayesian Networks (BNs), a widely accepted class of multivariate statistical models, particularly suitable for handling reasoning with uncertainty. Implementation of a BN results in a set of nodes and a set of conditional independence statements that provide an effective tool to explore associations in a system of variables. In this work, we also suggest two strategies for encoding prior knowledge in the BN estimating algorithm so that the BES theoretical framework can be represented into the network.

Suggested Citation

  • Federica Onori & Giovanna Jona Lasinio, 2022. "Modeling “Equitable and Sustainable Well-being” (BES) Using Bayesian Networks: A Case Study of the Italian Regions," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 161(2), pages 1003-1037, June.
    • Handle: RePEc:spr:soinre:v:161:y:2022:i:2:d:10.1007_s11205-020-02406-8
    DOI: 10.1007/s11205-020-02406-8
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    1. Wilcox, James B. & Howell, Roy D. & Breivik, Einar, 2008. "Questions about formative measurement," Journal of Business Research, Elsevier, vol. 61(12), pages 1219-1228, December.
    2. Matteo Mazziotta & Adriano Pareto, 2019. "Use and Misuse of PCA for Measuring Well-Being," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 142(2), pages 451-476, April.
    3. Karsten Hank & Michaela R. Kreyenfeld, 2000. "Does the availability of childcare influence the employment of mothers? Findings from western Germany," MPIDR Working Papers WP-2000-003, Max Planck Institute for Demographic Research, Rostock, Germany.
    4. Claeskens,Gerda & Hjort,Nils Lid, 2008. "Model Selection and Model Averaging," Cambridge Books, Cambridge University Press, number 9780521852258, July.
    5. Kitov, Ivan & Kitov, Oleg, 2011. "Employment, unemployment and real economic growth," MPRA Paper 32404, University Library of Munich, Germany.
    6. Enrico Giovannini & Jon Hall & Adolfo Morrone & Giulia Ranuzzi, 2011. "A Framework to measure the progress of societies," Revue d'économie politique, Dalloz, vol. 121(1), pages 93-118.
    7. Antonella Rita Ferrara & Rosanna Nisticò, 2019. "Does Institutional Quality Matter for Multidimensional Well-Being Inequalities? Insights from Italy," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 145(3), pages 1063-1105, October.
    8. Lidia Ceriani & Chiara Gigliarano, 2020. "Multidimensional Well-Being: A Bayesian Networks Approach," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 152(1), pages 237-263, November.
    9. Francesco M. Chelli & Mariateresa Ciommi & Alessandra Emili & Chiara Gigliarano & Stefania Taralli, 2015. "Comparing Equitable And Sustainable Well-Being (Bes) Across The Italian Provinces. A Factor Analysis-Based Approach," RIEDS - Rivista Italiana di Economia, Demografia e Statistica - The Italian Journal of Economic, Demographic and Statistical Studies, SIEDS Societa' Italiana di Economia Demografia e Statistica, vol. 69(3), pages 61-72, July-Sept.
    10. Daniele Checchi & Vito Peragine, 2010. "Inequality of opportunity in Italy," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 8(4), pages 429-450, December.
    11. Sen, Amartya, 1999. "Commodities and Capabilities," OUP Catalogue, Oxford University Press, number 9780195650389, Decembrie.
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    1. Giulio Giacomo Cantone & Venera Tomaselli, 2024. "A Multiversal Model of Vibration of Effects of the Equitable and Sustainable Well-Being (BES) on Fertility," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 175(3), pages 941-964, December.
    2. Cantone, Giulio Giacomo & Tomaselli, Venera, 2024. "On the Coherence of Composite Indexes: Multiversal Model and Specification Analysis for an Index of Well-Being," MetaArXiv d5y26_v1, Center for Open Science.

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