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First Order Dominance Analysis: Child Wellbeing in the Democratic Republic of Congo

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  • Malokele Nanivazo

Abstract

This paper performs a multidimensional first order dominance analysis of child wellbeing in the Democratic Republic of Congo (DRC). This methodology allows the ordinal ranking of the 11 provinces of the DRC in terms of their wellbeing based upon the probability of their domination. This empirical application obviates the need to adopt a weighting scheme for the deprivation indicators or to rely on the signs of other cross-derivatives for comparison. We execute a bootstrap linear programming algorithm on seven deprivation indicators for three age groups of children derived from the DRC 2007 Standard Demographic and Health Survey. The results reveal widespread disparities in child wellbeing in the DRC. Copyright Springer Science+Business Media Dordrecht 2015

Suggested Citation

  • Malokele Nanivazo, 2015. "First Order Dominance Analysis: Child Wellbeing in the Democratic Republic of Congo," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 122(1), pages 235-255, May.
    • Handle: RePEc:spr:soinre:v:122:y:2015:i:1:p:235-255
    DOI: 10.1007/s11205-014-0673-z
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    3. 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.
    4. 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.
    5. 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).
    6. Marco Fattore & Alberto Arcagni, 2019. "F-FOD: Fuzzy First Order Dominance Analysis and Populations Ranking Over Ordinal Multi-Indicator Systems," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 144(1), pages 1-29, July.

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