IDEAS home Printed from https://ideas.repec.org/a/spr/soinre/v151y2020i3d10.1007_s11205-020-02401-z.html
   My bibliography  Save this article

Bayesian Networks Model Averaging for Bes Indicators

Author

Listed:
  • Pierpaolo D’Urso

    (Sapienza Università di Roma)

  • Vincenzina Vitale

    (Sapienza Università di Roma)

Abstract

The measure of the equitable and sustainable well-being (Bes) is of growing interest in the last years. The National Institute of Statistics (Istat) provides, for Italy, a wide set of indicators describing each domain of well-being that is, by definition, a multidimensional concept. In this study, we propose the use of Bayesian networks to deal with basic and composite Bes indicators. Its capability to model very complex multivariate dependence structures is useful to describe the relationships between indicators belonging to different domains and, being a probabilistic expert system, the estimated network could be also useful for probabilistic inference and what-if analysis. In this study, all the Bayesian networks structures have been estimated by means of the hill climbing algorithm based on bootstrap resampling and model averaging in order to prevent bias due to deviations from the normality assumption.

Suggested Citation

  • 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.
    • Handle: RePEc:spr:soinre:v:151:y:2020:i:3:d:10.1007_s11205-020-02401-z
    DOI: 10.1007/s11205-020-02401-z
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11205-020-02401-z
    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/s11205-020-02401-z?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. 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.
    3. 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.
    4. 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.
    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. 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.
    2. 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.

    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, 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.
    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. 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).
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    14. Gustavo Carolino Girardi & Priscila Rubbo & Evandro Eduardo Broday & Maik Arnold & Claudia Tania Picinin, 2024. "Comparative Analysis between Quality of Life and Human Labor in Countries Belonging to G7 and BRICS Blocks: Proposition of Discriminant Analysis Model," Economies, MDPI, vol. 12(5), pages 1-20, May.
    15. Yang Wei & Tetsuo Kidokoro & Fumihiko Seta & Bo Shu, 2024. "Spatial-Temporal Assessment of Urban Resilience to Disasters: A Case Study in Chengdu, China," Land, MDPI, vol. 13(4), pages 1-24, April.
    16. Manh Hung Do, 2023. "Saving up and diversifying income for a rainy day: Implications for households' resilience strategies and poverty," TVSEP Working Papers wp-033, Leibniz Universitaet Hannover, Institute for Environmental Economics and World Trade, Project TVSEP.
    17. Camilla Salvatore & Silvia Biffignandi & Annamaria Bianchi, 2022. "Corporate Social Responsibility Activities Through Twitter: From Topic Model Analysis to Indexes Measuring Communication Characteristics," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 164(3), pages 1217-1248, December.
    18. Ermini, Barbara & Santolini, Raffaella & Ciommi, Mariateresa, 2023. "Equitable and sustainable well-being in Italian municipalities: Do women in politics make the difference?," Socio-Economic Planning Sciences, Elsevier, vol. 90(C).
    19. Vincenzina Vitale & Flaminia Musella & Paola Vicard & Valentina Guizzi, 2020. "Modelling an energy market with Bayesian networks for non-normal data," Computational Management Science, Springer, vol. 17(1), pages 47-64, January.
    20. Anna Martyka & Dorota Jopek & Izabela Skrzypczak, 2022. "Analysis of the Sustainable Development Index in the Communes of the Podkarpackie Voivodeship: A Polish Case Study," Sustainability, MDPI, vol. 14(16), pages 1-23, August.

    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:151:y:2020:i:3:d:10.1007_s11205-020-02401-z. 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.