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A Novel Approach for Multispatial and Multitemporal Analysis of Composite Indicators

Author

Listed:
  • Matheus Pereira Libório

    (Pontifical Catholic University of Minas Gerais)

  • Elisa Fusco

    (Department of Statistics, Computer Science, Applications “G. Parenti”, University of Florence)

  • Alexandre Magno Alves Diniz

    (Pontifical Catholic University of Minas Gerais)

  • Oséias da Silva Martinuci

    (State University of Maringa)

  • Petr Iakovlevitch Ekel

    (Pontifical Catholic University of Minas Gerais)

Abstract

This research provides an overview of the challenges in analyzing multidimensional social exclusion data using multiple indicators. It highlights the importance of composite indicators in simplifying the understanding of complex realities. Grounded in this literature, the research proposes a new approach to address the issues related to the multispatial and multitemporal analysis of composite indicators, contributing to the existing body of knowledge in this area. To illustrate its potential, social exclusion measures proposed by the Center for Studies and Mapping of Social Exclusion for Public Policies are used for two southern Brazil municipalities. This framework considers demographic, economic, educational, and household dimensions and fourteen variables. The proposed approach offers two significant contributions: firstly, it prevents outliers from heavily influencing the normalized sub-indicators and composite indicators during the scale transformation process. Secondly, it provides a solution compatible with the three-dimensional nature of the problem, thereby enhancing the multitemporal analysis of composite indicators.

Suggested Citation

  • Matheus Pereira Libório & Elisa Fusco & Alexandre Magno Alves Diniz & Oséias da Silva Martinuci & Petr Iakovlevitch Ekel, 2024. "A Novel Approach for Multispatial and Multitemporal Analysis of Composite Indicators," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 173(3), pages 783-800, July.
    • Handle: RePEc:spr:soinre:v:173:y:2024:i:3:d:10.1007_s11205-024-03370-3
    DOI: 10.1007/s11205-024-03370-3
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    1. María Ana Lugo, 2007. "Comparing Multidimensional Indices of Inequality: methods and application," Research on Economic Inequality, in: Inequality and Poverty, pages 213-236, Emerald Group Publishing Limited.
    2. Ana Garcia-Bernabeu & José Manuel Cabello & Francisco Ruiz, 2022. "A Reference Point-Based Proposal to Build Regional Quality of Life Composite Indicators," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 164(1), pages 11-30, November.
    3. Ana Garcia-Bernabeu & José Manuel Cabello & Francisco Ruiz, 2020. "A Multi-Criteria Reference Point Based Approach for Assessing Regional Innovation Performance in Spain," Mathematics, MDPI, vol. 8(5), pages 1-21, May.
    4. Itismita Mohanty & Martin Edvardsson & Annie Abello & Deanna Eldridge, 2016. "Child Social Exclusion Risk and Child Health Outcomes in Australia," PLOS ONE, Public Library of Science, vol. 11(5), pages 1-16, May.
    5. Marta Kuc-Czarnecka & Samuele Lo Piano & Andrea Saltelli, 2020. "Quantitative Storytelling in the Making of a Composite Indicator," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 149(3), pages 775-802, June.
    6. Alfredo Cartone & Paolo Postiglione, 2021. "Principal component analysis for geographical data: the role of spatial effects in the definition of composite indicators," Spatial Economic Analysis, Taylor & Francis Journals, vol. 16(2), pages 126-147, April.
    7. Francesco Vidoli & Elisa Fusco & Claudio Mazziotta, 2015. "Non-compensability in Composite Indicators: A Robust Directional Frontier Method," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 122(3), pages 635-652, July.
    8. Ajit Bhalla & Frédéric Lapeyre, 1997. "Social Exclusion: Towards an Analytical and Operational Framework," Development and Change, International Institute of Social Studies, vol. 28(3), pages 413-433, July.
    9. 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.
    10. Matteo Mazziotta & Adriano Pareto, 2022. "Normalization methods for spatio‐temporal analysis of environmental performance: Revisiting the Min–Max method," Environmetrics, John Wiley & Sons, Ltd., vol. 33(5), August.
    11. Fusco, Elisa & Vidoli, Francesco & Sahoo, Biresh K., 2018. "Spatial heterogeneity in composite indicator: A methodological proposal," Omega, Elsevier, vol. 77(C), pages 1-14.
    12. François Bourguignon & Satya R. Chakravarty, 2019. "The Measurement of Multidimensional Poverty," Themes in Economics, in: Satya R. Chakravarty (ed.), Poverty, Social Exclusion and Stochastic Dominance, pages 83-107, Springer.
    13. 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.
    14. 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.
    15. Matheus Pereira Libório & Oseias da Silva Martinuci & Alexei Manso Correa Machado & Renata de Mello Lyrio & Patrícia Bernardes, 2022. "Time–Space Analysis of Multidimensional Phenomena: A Composite Indicator of Social Exclusion Through k-Means," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 159(2), pages 569-591, January.
    16. Samira El Gibari & Trinidad Gómez & Francisco Ruiz, 2019. "Building composite indicators using multicriteria methods: a review," Journal of Business Economics, Springer, vol. 89(1), pages 1-24, February.
    17. Annie Abello & Rebecca Cassells & Anne Daly & Gabriela D’Souza & Riyana Miranti, 2016. "Youth Social Exclusion in Australian Communities: A New Index," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 128(2), pages 635-660, September.
    18. Issaka Dialga & Le Thi Hang Giang, 2017. "Highlighting Methodological Limitations in the Steps of Composite Indicators Construction," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 131(2), pages 441-465, March.
    19. Matteo Mazziotta & Adriano Pareto, 2018. "Measuring Well-Being Over Time: The Adjusted Mazziotta–Pareto Index Versus Other Non-compensatory Indices," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 136(3), pages 967-976, April.
    20. Sinéad Keogh & Stephen O’Neill & Kieran Walsh, 2021. "Composite Measures for Assessing Multidimensional Social Exclusion in Later Life: Conceptual and Methodological Challenges," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 155(2), pages 389-410, June.
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