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A weighted multidimensional index of child well-being which incorporates children’s individual perceptions

Author

Listed:
  • Liliana Fernandes

    (Faculdade de Economia e Gestão - Universidade Católica Portuguesa, Porto)

  • Américo Mendes

    (Faculdade de Economia e Gestão - Universidade Católica Portuguesa, Porto)

  • Aurora Teixeira

    (Faculdade de Economia - Universidade do Porto)

Abstract

It has been a decade since a landmark piece of work on child well-being measurement based on a summary index was developed in the United States, the Index of Child and Youth Well-Being. Several research studies, both in the U.S. and Europe, followed on from this work. However, improvements in the methodologies used by researchers are still required, namely with regard to incorporating children’s own perspectives of their well-being, as well as involving them in the measurement process. In the present paper, a composite index is proposed in order to try overcoming three of the main methodological limitations of current studies: the short account for children’s perceptions on their own well-being, the use of aggregated data, and the use of uniform and other weighting schemes that do not translate the real weights of individual indicators.

Suggested Citation

  • Liliana Fernandes & Américo Mendes & Aurora Teixeira, 2011. "A weighted multidimensional index of child well-being which incorporates children’s individual perceptions," Working Papers de Economia (Economics Working Papers) 01, Católica Porto Business School, Universidade Católica Portuguesa.
    • Handle: RePEc:cap:wpaper:012011
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    References listed on IDEAS

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    Cited by:

    1. Oh, Jihyun, 2023. "Prevalence and factors associated with multidimensional child deprivation: Findings from the Future of Families and Child Well-Being Study," Children and Youth Services Review, Elsevier, vol. 148(C).
    2. Dat Vu Hoang & Laure Pasquier-Doumer, 2016. "Weighting deprivations using subjective well-being: An application to the Multidimensional Child Poverty Index in Vietnam," Working Papers DT/2016/01, DIAL (Développement, Institutions et Mondialisation).
    3. Khadija Loudghiri & Abdesselam Fazouane & Nouzha Zaoujal, 2021. "The Well-Being of Children in Morocco: What Barriers?," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 14(6), pages 2285-2324, December.
    4. Raquel Lourenço Carvalhal Monteiro & Valdecy Pereira & Helder Gomes Costa, 2020. "Dependence Analysis Between Childhood Social Indicators and Human Development Index Through Canonical Correlation Analysis," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 13(1), pages 337-362, February.
    5. Fernandes, Liliana & Mendes, Américo & Teixeira, Aurora, 2013. "Assessing child well-being through a new multidimensional child-based weighting scheme index: An empirical estimation for Portugal," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 45(C), pages 155-174.
    6. Maryam Abdu & Enrique Delamonica, 2018. "Multidimensional Child Poverty: From Complex Weighting to Simple Representation," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 136(3), pages 881-905, April.
    7. Bruno Martorano & Luisa Natali & Chris Neubourg & Jonathan Bradshaw, 2014. "Child Well-Being in Advanced Economies in the Late 2000s," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 118(1), pages 247-283, August.
    8. 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).
    9. Tindara Addabbo & Maria Laura Di Tommaso & Anna Maccagnan, 2016. "Education Capability: A Focus on Gender and Science," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 128(2), pages 793-812, September.
    10. Keren Dalyot & Sagi Dalyot, 2018. "Towards the Use of Crowdsourced GIS Data to Georeference Child Well-Being Globally," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 139(1), pages 185-204, August.

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    More about this item

    Keywords

    child well-being; measurement; child indicators; methods;
    All these keywords.

    JEL classification:

    • I31 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General Welfare, Well-Being
    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty

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