IDEAS home Printed from https://ideas.repec.org/a/spr/soinre/v153y2021i3d10.1007_s11205-020-02530-5.html
   My bibliography  Save this article

Modeling Local BES Indicators by Copula-Based Bayesian Networks

Author

Listed:
  • Pierpaolo D’Urso

    (Sapienza Università di Roma)

  • Vincenzina Vitale

    (Sapienza Università di Roma)

Abstract

In Italy, the measure of the Equitable and Sustainable Well-being is provided by the Italian Institute of Statistics by means of a dashboard of basic and composite indicators. To investigate the dependence structure between the different domains of well-being, we propose the use of Non-Parametric Bayesian Networks based on the normal copula distribution, that allow to explore the conditional independence relationships between the composite indicators. The main advantage of the non-parametric models is that, as opposed to the parametric approach, they do not require any assumption on the marginal distributions of the variables. The proposed model is applied to the Equitable and Sustainable Well-being indicators measured at the provincial level and enriches the analysis of well-being by inspecting similarities and differences between Italian urban areas and territories.

Suggested Citation

  • Pierpaolo D’Urso & Vincenzina Vitale, 2021. "Modeling Local BES Indicators by Copula-Based Bayesian Networks," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 153(3), pages 823-847, February.
    • Handle: RePEc:spr:soinre:v:153:y:2021:i:3:d:10.1007_s11205-020-02530-5
    DOI: 10.1007/s11205-020-02530-5
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11205-020-02530-5
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11205-020-02530-5?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Hanea, A.M. & Kurowicka, D. & Cooke, R.M. & Ababei, D.A., 2010. "Mining and visualising ordinal data with non-parametric continuous BBNs," Computational Statistics & Data Analysis, Elsevier, vol. 54(3), pages 668-687, March.
    2. Francesco Burchi & Chiara Gnesi, 2016. "A Review of the Literature on Well-Being in Italy: A Human Development Perspective," Forum for Social Economics, Taylor & Francis Journals, vol. 45(2-3), pages 170-192, August.
    3. Leonardo S. Alaimo & Filomena Maggino, 2020. "Sustainable Development Goals Indicators at Territorial Level: Conceptual and Methodological Issues—The Italian Perspective," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 147(2), pages 383-419, January.
    4. Ron S. Kenett & Galit Shmueli, 2014. "On information quality," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 177(1), pages 3-38, January.
    5. Hobæk Haff, Ingrid & Aas, Kjersti & Frigessi, Arnoldo & Lacal, Virginia, 2016. "Structure learning in Bayesian Networks using regular vines," Computational Statistics & Data Analysis, Elsevier, vol. 101(C), pages 186-208.
    6. Enrico Casadio Tarabusi & Giulio Guarini, 2013. "An Unbalance Adjustment Method for Development Indicators," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 112(1), pages 19-45, May.
    7. Francesco M. Chelli & Mariateresa Ciommi & Alessandra Emili & Chiara Gigliarano & Stefania Taralli, 2016. "Measuring Local Well-Being: A Comparison Among Aggregative Methods For The Equitable And Sustainable Well-Being," 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. 70(4), pages 91-102, October-D.
    8. Pierpaolo D’Urso & Vincenzina Vitale, 2020. "Bayesian Networks Model Averaging for Bes Indicators," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 151(3), pages 897-919, October.
    9. Cristina Davino & Pasquale Dolce & Stefania Taralli & Vincenzo Esposito Vinzi, 2018. "A Quantile Composite-Indicator Approach for the Measurement of Equitable and Sustainable Well-Being: A Case Study of the Italian Provinces," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 136(3), pages 999-1029, April.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Rossi, Luca & Pasca, Maria Giovina & Arcese, Gabriella & Poponi, Stefano, 2024. "Innovation, researcher and creativity: A complex indicator for territorial evaluation capacity," Technology in Society, Elsevier, vol. 77(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Pierpaolo D’Urso & Vincenzina Vitale, 2020. "Bayesian Networks Model Averaging for Bes Indicators," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 151(3), pages 897-919, October.
    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, Center for Open Science.
    3. Rajko Tomaš, 2022. "Measurement of the Concentration of Potential Quality of Life in Local Communities," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 163(1), pages 79-109, August.
    4. Giorgio Calcagnini & Francesco Perugini, 2019. "A Well-Being Indicator for the Italian Provinces," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 142(1), pages 149-177, February.
    5. Luca Secondi, 2021. "Estimating Household Consumption Expenditure at Local Level In Italy: The Potential of the Cokriging Spatial Predictor," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 153(2), pages 651-674, January.
    6. Ilyes Boumahdi & Nouzha Zaoujal, 2023. "Regional Well-Being Disparities in Morocco and its OECD Partners," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 167(1), pages 183-211, June.
    7. KIM, Junyung & ZHAO, Xingang & SHAH, Asad Ullah Amin & KANG, Hyun Gook, 2021. "System risk quantification and decision making support using functional modeling and dynamic Bayesian network," Reliability Engineering and System Safety, Elsevier, vol. 215(C).
    8. Alaimo, Leonardo Salvatore & Galli, Emma & Rizzo, Ilde & Scaglioni, Carla, 2023. "A new index of transparency: Evidence for the Italian municipalities," Socio-Economic Planning Sciences, Elsevier, vol. 89(C).
    9. Matteo Mazziotta & Adriano Pareto, 2022. "Composite Indices Construction: The Performance Interval Approach," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 161(2), pages 541-551, June.
    10. David Bartram & Leonardo Salvatore Alaimo & Eileen Avery & Anthony Bardo & Enrico Di Bella & Martin Binder & Ferdi Botha & Sandra Fachelli & Andrea Gatto & Jintao Lu & Adam Okulicz-Kozaryn & Angeles S, 2024. "Towards the Next Fifty Years of Social Indicators Research: Some Guidance for Authors," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 174(1), pages 1-17, August.
    11. Leonardo Salvatore Alaimo & Alberto Arcagni & Marco Fattore & Filomena Maggino, 2021. "Synthesis of Multi-indicator System Over Time: A Poset-based Approach," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 157(1), pages 77-99, August.
    12. Jaya Krishnakumar & Mario Biggeri & Mauro Vincenzo, 2022. "Eat AND Study but Wii OR Ski! Differentiating Between ‘Basic’ and ‘Non-basic’ Dimensions in a Multidimensional Index," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 163(3), pages 1115-1138, October.
    13. Hao Cheng, 2023. "Composite quantile estimation in PLS-SEM for environment sustainable development evaluation," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(7), pages 6249-6268, July.
    14. Daniel Hoehn & María Margallo & Jara Laso & Israel Ruiz-Salmón & Laura Batlle-Bayer & Alba Bala & Pere Fullana-i-Palmer & Rubén Aldaco, 2021. "A Novel Composite Index for the Development of Decentralized Food Production, Food Loss, and Waste Management Policies: A Water-Climate-Food Nexus Approach," Sustainability, MDPI, vol. 13(5), pages 1-14, March.
    15. Weam Tunsi & Hisham Alidrisi, 2023. "The Innovation-Based Human Development Index Using PROMETHEE II: The Context of G8 Countries," Sustainability, MDPI, vol. 15(14), pages 1-13, July.
    16. Federica Cugnata & Silvia Salini, 2014. "Model-based approach for importance–performance analysis," Quality & Quantity: International Journal of Methodology, Springer, vol. 48(6), pages 3053-3064, November.
    17. Immacolata Di Napoli & Pasquale Dolce & Caterina Arcidiacono, 2019. "Community Trust: A Social Indicator Related to Community Engagement," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 145(2), pages 551-579, September.
    18. Idiano D’Adamo & Cristina Di Carlo & Massimo Gastaldi & Edouard Nicolas Rossi & Antonio Felice Uricchio, 2024. "Economic Performance, Environmental Protection and Social Progress: A Cluster Analysis Comparison towards Sustainable Development," Sustainability, MDPI, vol. 16(12), pages 1-24, June.
    19. Zoltan J. Acs & Saul Estrin & Tomasz Mickiewicz & László Szerb, 2018. "Entrepreneurship, institutional economics, and economic growth: an ecosystem perspective," Small Business Economics, Springer, vol. 51(2), pages 501-514, August.
    20. Vijaya Krishnan, 2015. "Development of a Multidimensional Living Conditions Index (LCI)," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 120(2), pages 455-481, January.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:soinre:v:153:y:2021:i:3:d:10.1007_s11205-020-02530-5. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.