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Benefit-of-the-Doubt in the Spatial Analysis of Child Well-Being in European Countries

Author

Listed:
  • Matheus Pereira Libório

    (Pontificia Universidade Catolica de Minas Gerais
    Enacom Handcrafted Technologies)

  • Alexandre Magno Alvez Diniz

    (Pontificia Universidade Catolica de Minas Gerais)

  • Angélica Cidália Gouveia Santos

    (Pontificia Universidade Catolica de Minas Gerais)

  • Cristiane Neri Nobre

    (Pontificia Universidade Catolica de Minas Gerais)

  • Douglas Alexandre Gomes Vieira

    (Enacom Handcrafted Technologies
    Federal Center for Technological Education of Minas Gerais)

  • Hasheem Mannan

    (University College Dublin)

  • Marcos Flávio Silveira Vasconcelos Dangelo

    (State University of Montes Claros)

  • Patrícia Bernardes

    (Pontificia Universidade Catolica de Minas Gerais)

  • Petr Iakovlevitch Ekel

    (Pontificia Universidade Catolica de Minas Gerais
    Advanced System Optimization Technologies)

Abstract

The Benefit-of-the-Doubt is one of the most popular methods for constructing composite indicators, with the main characteristic being the endogenous and individualized weighting of sub-indicators, which minimizes conflicts related to this definition. Greater weights are assigned to sub-indicators with the highest value, and smaller weights are assigned to sub-indicators with the lowest value. On the one hand, this unique mathematical property is very appropriate for studies with a geographical perspective as it operationalizes the spatial heterogeneity concept, in which the influence of the sub-indicator on the composite indicator varies from one geographic area to another. On the other hand, the weighting of sub-indicators is aimed at maximizing the scores of the composite indicator, reducing the explanatory and discriminative power of the composite indicator. This research introduces a framework that minimizes the problem of low discriminative and explanatory power of composite indicators constructed by the Benefit-of-the-Doubt. Another novelty of the research is the possibility of considering sub-indicators with greater conceptual importance, balancing the influence of dimensions on the composite indicator, and an approach to measuring the composite indicator’s spatial heterogeneity degree. These innovations present high levels of originality and applicability, contributing to the dissemination of the Benefit-of-the-Doubt in constructing composite indicators and developing public policies based on geographical representations with adequate explanatory and discriminatory power.

Suggested Citation

  • Matheus Pereira Libório & Alexandre Magno Alvez Diniz & Angélica Cidália Gouveia Santos & Cristiane Neri Nobre & Douglas Alexandre Gomes Vieira & Hasheem Mannan & Marcos Flávio Silveira Vasconcelos Da, 2024. "Benefit-of-the-Doubt in the Spatial Analysis of Child Well-Being in European Countries," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 17(4), pages 1851-1870, August.
    • Handle: RePEc:spr:chinre:v:17:y:2024:i:4:d:10.1007_s12187-024-10145-2
    DOI: 10.1007/s12187-024-10145-2
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    References listed on IDEAS

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    1. Rogge, Nicky, 2018. "Composite indicators as generalized benefit-of-the-doubt weighted averages," European Journal of Operational Research, Elsevier, vol. 267(1), pages 381-392.
    2. Laurens Cherchye & Wim Moesen & Tom Van Puyenbroeck, 2004. "Legitimately Diverse, yet Comparable: On Synthesizing Social Inclusion Performance in the EU," Journal of Common Market Studies, Wiley Blackwell, vol. 42(5), pages 919-955, December.
    3. 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.
    4. 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.
    5. T. El Sayed & A. R. Zahran, 2020. "Child Wellbeing in Egypt: a Weighted Multidimensional Almost Dominance Approach," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 13(3), pages 993-1022, June.
    6. Giuseppe Munda, 2005. "“Measuring Sustainability”: A Multi-Criterion Framework," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 7(1), pages 117-134, January.
    7. Eirini Leriou, 2023. "Understanding and Measuring Child Well-being in the Region of Attica, Greece: Round Five," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 16(4), pages 1395-1451, August.
    8. 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.
    9. Ziwei Shu & Ramón Alberto Carrasco & Javier Portela García-Miguel & Manuel Sánchez-Montañés, 2022. "Multiple Scenarios of Quality of Life Index Using Fuzzy Linguistic Quantifiers: The Case of 85 Countries in Numbeo," Mathematics, MDPI, vol. 10(12), pages 1-28, June.
    10. 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.
    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. Peiró-Palomino, Jesús & Picazo-Tadeo, Andrés J. & Tortosa-Ausina, Emili, 2021. "Measuring well-being in Colombian departments. The role of geography and demography," Socio-Economic Planning Sciences, Elsevier, vol. 78(C).
    13. Nicodemo, Catia & Barzin, Samira & Lasserson, Daniel S. & Moscone, Francesco & Redding, Stuart & Shaikh, Mujaheed & Cavalli, Nicolò, 2020. "Measuring Geographical Disparities in England at the Time of COVID-19: Results Using a Composite Indicator of Population Vulnerability," IZA Discussion Papers 13757, Institute of Labor Economics (IZA).
    14. Cho, Esther Yin-Nei & Yu, Fuk-Yuen, 2020. "A review of measurement tools for child wellbeing," Children and Youth Services Review, Elsevier, vol. 119(C).
    15. Liliana Fernandes & Américo Mendes & Aurora Teixeira, 2012. "A Review Essay on the Measurement of Child Well-Being," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 106(2), pages 239-257, April.
    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. Aytakin Huseynli & Melissa Jonson-Reid, 2023. "Child Well-being in Post-Soviet Countries: Discipline Practices in Families in Azerbaijan," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 16(1), pages 317-336, February.
    18. Ana Garcia-Bernabeu & Adolfo Hilario-Caballero, 2021. "Monitoring multidimensional phenomena with a multicriteria composite performance interval approach," Papers 2107.08393, arXiv.org.
    19. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    20. Fusco, Elisa, 2023. "Potential improvements approach in composite indicators construction: The Multi-directional Benefit of the Doubt model," Socio-Economic Planning Sciences, Elsevier, vol. 85(C).
    21. Karagiannis, Roxani & Karagiannis, Giannis, 2020. "Constructing composite indicators with Shannon entropy: The case of Human Development Index," Socio-Economic Planning Sciences, Elsevier, vol. 70(C).
    22. 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.
    23. Elizabeth Pollard & Patrice Lee, 2003. "Child Well-being: A Systematic Review of the Literature," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 61(1), pages 59-78, January.
    24. Miller, Harvey J. & Witlox, Frank & Tribby, Calvin P., 2013. "Developing context-sensitive livability indicators for transportation planning: a measurement framework," Journal of Transport Geography, Elsevier, vol. 26(C), pages 51-64.
    25. Andrea Saltelli, 2007. "Composite Indicators between Analysis and Advocacy," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 81(1), pages 65-77, March.
    26. Fusco, Elisa, 2015. "Enhancing non-compensatory composite indicators: A directional proposal," European Journal of Operational Research, Elsevier, vol. 242(2), pages 620-630.
    27. Vincent Charles & Guillermo Díaz, 2017. "A Non-radial DEA Index for Peruvian Regional Competitiveness," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 134(2), pages 747-770, November.
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