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Measuring Child and Maternal Health in Developing Countries: A Proposal of New Hybrid MDG Composite Indices

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  • Mariano Luque

    (Department of Applied Economics (Mathematics), University of Malaga)

  • Salvador Pérez-Moreno

    (Department of Applied Economics (Economic Policy), University of Malaga)

  • José A. Robles

    (Department of Applied Economics (Economic Policy), University of Malaga)

  • Beatriz Rodriguez

    (Department of Applied Economics (Mathematics), University of Malaga)

Abstract

This paper proposes new hybrid composite indices from a set of Millennium Development Goals (MDGs) indicators to measure child and maternal health in developing countries. Under a multi-criteria approach, we use a normalization formula with a double reference point scheme that includes an aggregation function with two reference values: aspiration and reservation. We rely on the distance P2 method to calculate the importance (weights) of each MDG indicator in the multi-criteria approach and propose several indices with different degrees of substitutability among indicators. This hybrid approach allows us to assess the progress in child and maternal health in 90 developing countries in the framework of the MDGs, from which potential policy implications may derive for the implementation of the post-2015 sustainable development agenda.

Suggested Citation

  • Mariano Luque & Salvador Pérez-Moreno & José A. Robles & Beatriz Rodriguez, 2017. "Measuring Child and Maternal Health in Developing Countries: A Proposal of New Hybrid MDG Composite Indices," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 12(3), pages 737-758, September.
  • Handle: RePEc:spr:ariqol:v:12:y:2017:i:3:d:10.1007_s11482-016-9487-2
    DOI: 10.1007/s11482-016-9487-2
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    Cited by:

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    2. Luque, Mariano & Marcenaro-Gutierrez, Oscar D. & Ruiz, Ana B., 2020. "Evaluating the global efficiency of teachers through a multi-criteria approach," Socio-Economic Planning Sciences, Elsevier, vol. 70(C).
    3. Jiménez-Fernández, Eduardo & Sánchez, Angeles & Ortega-Pérez, Mario, 2022. "Dealing with weighting scheme in composite indicators: An unsupervised distance-machine learning proposal for quantitative data," Socio-Economic Planning Sciences, Elsevier, vol. 83(C).
    4. Cuenca-García, Eduardo & Sánchez, Angeles & Navarro-Pabsdorf, Margarita, 2019. "Assessing the performance of the least developed countries in terms of the Millennium Development Goals," Evaluation and Program Planning, Elsevier, vol. 72(C), pages 54-66.

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