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A Weighted Multidimensional Index of Child Well-Being Which Incorporates Children’s Individual Perceptions

Author

Listed:
  • Liliana Fernandes
  • Américo Mendes
  • Aurora Teixeira

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. Despite these studies’ valuable contribution, scope exists for further improvements at the methodological level. In the present paper we draw the methodological basis for a new, micro-based summary child well-being index in which children’s views on their own well-being assume a central role and distinct weights (based on the children’s perceptions) to each component that is included in the index are used. Based on 914 pairs of responses of Portuguese children and their carers, the newly proposed index was tested vis-à-vis other methodologies. The econometric estimations show that the significance of all potential well-being determinants (e.g., age, school cycle, mother’s and father’s level of education) remains the same across the distinct methods of calculation of child well-being indexes. However, the consideration of subjective components (degrees of importance and weights) allowed to evidence that the most relevant determinants of child well-being are the set of variables related to the child’s parents, namely education and professional status. In particular, when compared to their counterparts, children whose fathers have higher education degrees reveal an increased overall well-being by around 25 %, whereas children whose fathers are unemployed present a decreased well-being by around 11 %. Copyright Springer Science+Business Media Dordrecht 2013

Suggested Citation

  • Liliana Fernandes & Américo Mendes & Aurora Teixeira, 2013. "A Weighted Multidimensional Index of Child Well-Being Which Incorporates Children’s Individual Perceptions," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 114(3), pages 803-829, December.
  • Handle: RePEc:spr:soinre:v:114:y:2013:i:3:p:803-829
    DOI: 10.1007/s11205-012-0174-x
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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. 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.
    3. 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).
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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).

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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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