IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/106904.html

Interval-Based Composite Indicators with a Triplex Representation: A Measure of the Potential Demand for the "Ristori" Decree in Italy

Author

Listed:
  • Drago, Carlo

Abstract

In this work, we propose a new approach to constructing interval-based composite indicators based on the triplex representation. So, we measure the principal value of the indicator and simultaneously the value's uncertainty due to the different assumptions as different weightings associated how the indicator and their ranks can vary considering different assumptions or weights. The approach is useful not only on the construction of the composite indicators but also for a reliable interpretation of the results. The application shows the usefulness of the approach in detecting the regions higher the potential demand for economic support due to the Covid-19 emergency. In questo lavoro proponiamo un nuovo approccio alla costruzione di indicatori compositi basati su intervalli, basati sulla rappresentazione triplex. In questo caso siamo in grado di misurare non solo il valore principale dell'indicatore e l'incertezza del valore dovuta alla diversa assunzione come differenti ponderazioni associate ma anche come l'indicatore e il loro rango possono variare considerando differenti assunzioni o pesi. Quindi l'approccio è utile non solo sulla costruzione degli indicatori compositi, ma anche su un'interpretazione affidabile dei risultati.

Suggested Citation

  • Drago, Carlo, 2021. "Interval-Based Composite Indicators with a Triplex Representation: A Measure of the Potential Demand for the "Ristori" Decree in Italy," MPRA Paper 106904, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:106904
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/106904/1/MPRA_paper_106904.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Drago, Carlo, "undated". "Interval Based Composite Indicators," ETA: Economic Theory and Applications 263481, Fondazione Eni Enrico Mattei (FEEM).
    2. Billard L. & Diday E., 2003. "From the Statistics of Data to the Statistics of Knowledge: Symbolic Data Analysis," Journal of the American Statistical Association, American Statistical Association, vol. 98, pages 470-487, January.
    3. Carlo Drago, 2021. "The Analysis and the Measurement of Poverty: An Interval-Based Composite Indicator Approach," Economies, MDPI, vol. 9(4), pages 1-17, October.
    4. Salvatore Greco & Alessio Ishizaka & Menelaos Tasiou & Gianpiero Torrisi, 2019. "On the Methodological Framework of Composite Indices: A Review of the Issues of Weighting, Aggregation, and Robustness," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 141(1), pages 61-94, January.
    5. M. Saisana & A. Saltelli & S. Tarantola, 2005. "Uncertainty and sensitivity analysis techniques as tools for the quality assessment of composite indicators," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 168(2), pages 307-323, March.
    6. Gatto, Andrea & Drago, Carlo, 2020. "Measuring and modeling energy resilience," Ecological Economics, Elsevier, vol. 172(C).
    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. Céline Diebold, 2022. "How Meaningful is the Elite Quality Index Ranking?," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 163(1), pages 137-170, August.

    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. Carlo Drago, 2021. "The Analysis and the Measurement of Poverty: An Interval-Based Composite Indicator Approach," Economies, MDPI, vol. 9(4), pages 1-17, October.
    2. Carlo Drago & Andrea Gatto, 2022. "An interval‐valued composite indicator for energy efficiency and green entrepreneurship," Business Strategy and the Environment, Wiley Blackwell, vol. 31(5), pages 2107-2126, July.
    3. Drago, Carlo & Gatto, Andrea, 2022. "Policy, regulation effectiveness, and sustainability in the energy sector: A worldwide interval-based composite indicator," Energy Policy, Elsevier, vol. 167(C).
    4. Drago, Carlo & Di Nallo, Loris & Russotto, Maria Lucetta, "undated". "Social Sustainability in European Banks: A Machine Learning Approach using Interval- Based Composite Indicators," FEEM Working Papers 336986, Fondazione Eni Enrico Mattei (FEEM).
    5. Ievoli, Riccardo & Vinciguerra, Rosa & Bruno, Adriana, 2024. "Investigating water sustainability towards indicators: An empirical illustration using country-level data," Socio-Economic Planning Sciences, Elsevier, vol. 96(C).
    6. Yue Pan & Ying Wang & Yingxue Wang & Yanling Xie & Junmei Dong & Min Liu, 2023. "Spatiotemporal Dynamics of the Suitability for Ecological Livability of Green Spaces in the Central Yunnan Urban Agglomeration," Sustainability, MDPI, vol. 15(22), pages 1-18, November.
    7. Drago, Carlo & Gatto, Andrea, 2023. "Gauging energy poverty in developing countries with a composite metric of electricity access," Utilities Policy, Elsevier, vol. 81(C).
    8. 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.
    9. Aleksandra Maksimovska & Aleksandar Stojkov, 2019. "Composite Indicator of Social Responsiveness of Local Governments: An Empirical Mapping of the Networked Community Governance Paradigm," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 144(2), pages 669-706, July.
    10. Greco, Salvatore & Ishizaka, Alessio & Tasiou, Menelaos & Torrisi, Gianpiero, 2018. "σ-µ efficiency analysis: A new methodology for evaluating units through composite indices," MPRA Paper 83569, University Library of Munich, Germany.
    11. Renata Pelissari & Sarah Ben Amor & Álvaro Oliveira D’Antona & Eduardo José Marandola Júnior & Leonardo Tomazeli Duarte, 2024. "A semi-supervised multi-criteria sorting approach to constructing social vulnerability composite indicators," Annals of Operations Research, Springer, vol. 337(1), pages 235-260, June.
    12. Carmen García-Peña & Moneyba González-Medina & Jose Manuel Diaz-Sarachaga, 2021. "Assessment of the Governance Dimension in the Frame of the 2030 Agenda: Evidence from 100 Spanish Cities," Sustainability, MDPI, vol. 13(10), pages 1-21, May.
    13. Brad Bottoms & Julie Arbit & Earl Lewis & Alford Young Jr, 2024. "Towards urban place-based resilience modeling: Mixed methods for a flood resilience assessment index," Environment and Planning B, , vol. 51(7), pages 1563-1580, September.
    14. Usubiaga-Liaño, Arkaitz & Ekins, Paul, 2024. "Methodological choices for reflecting strong sustainability in composite indices," Ecological Economics, Elsevier, vol. 221(C).
    15. Pilar Murias & Beatriz Valcárcel-Aguiar & Rosa María Regueiro-Ferreira, 2020. "A Territorial Estimate for Household Energy Vulnerability: An Application for Spain," Sustainability, MDPI, vol. 12(15), pages 1-21, July.
    16. Edson Kogachi & Adonias Ferreira & Carlos Cavalcante & Marcelo Embiruçu, 2021. "Development of Performance Evaluation Indicators for Table Grape Packaging Units. 2. Global Indexes," Sustainability, MDPI, vol. 13(11), pages 1-16, June.
    17. Gökçe Koç & Ayşe Uzmay, 2024. "Construction of a Farm-Level Food Security Index: Case Study of Turkish Dairy Farms," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 175(2), pages 687-714, November.
    18. Marek Walesiak & Grażyna Dehnel, 2023. "A Measurement of Social Cohesion in Poland’s NUTS2 Regions in the Period 2010–2019 by Applying Dynamic Relative Taxonomy to Interval-Valued Data," Sustainability, MDPI, vol. 15(4), pages 1-21, February.
    19. Greco, Salvatore & Ishizaka, Alessio & Tasiou, Menelaos & Torrisi, Gianpiero, 2019. "Sigma-Mu efficiency analysis: A methodology for evaluating units through composite indicators," European Journal of Operational Research, Elsevier, vol. 278(3), pages 942-960.
    20. Camilla Salvatore & Silvia Biffignandi & Annamaria Bianchi, 2024. "Augmenting business statistics information by combining traditional data with textual data: a composite indicator approach," METRON, Springer;Sapienza Università di Roma, vol. 82(1), pages 71-91, April.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    JEL classification:

    • C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation
    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • C82 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Macroeconomic Data; Data Access
    • C88 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Other Computer Software

    Statistics

    Access and download statistics

    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:pra:mprapa:106904. 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: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .

    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.