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Measuring Socioeconomic Inequalities with Predicted Absolute Incomes Rather Than Wealth Quintiles: A Comparative Assessment Using Child Stunting Data from National Surveys

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  • Fink, G.
  • Victora, C.G.
  • Harttgen, K.
  • Vollmer, S.
  • Vidaletti, L.P.
  • Barros, A.J.D.

Abstract

Objectives. To compare the predictive power of synthetic absolute income measures with that of asset-based wealth quintiles in low-and middle-income countries (LMICs) using child stunting as an outcome. Methods. We pooled data from 239 nationally representative household surveys from LMICs and computed absolute incomes in US dollars based on households' asset rank as well as data on national consumption and inequality levels. We used multivariable regression models to compare the predictive power of the created income measure with the predictive power of existing asset indicator measures. Results. In cross-country analysis, log absolute income predicted 54.5% of stunting variation observed, compared with 20% of variation explained by wealth quintiles. For within-survey analysis, we also found absolute income gaps to be predictive of the gaps between stunting in the wealthiest and poorest households (P

Suggested Citation

  • Fink, G. & Victora, C.G. & Harttgen, K. & Vollmer, S. & Vidaletti, L.P. & Barros, A.J.D., 2017. "Measuring Socioeconomic Inequalities with Predicted Absolute Incomes Rather Than Wealth Quintiles: A Comparative Assessment Using Child Stunting Data from National Surveys," American Journal of Public Health, American Public Health Association, vol. 107(4), pages 550-555.
    • Handle: RePEc:aph:ajpbhl:10.2105/ajph.2017.303657_5
    DOI: 10.2105/AJPH.2017.303657
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    Cited by:

    1. 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.
    2. Li, Zhihui & Kim, Rockli & Subramanian, S.V., 2021. "Economic-related inequalities in child health interventions: An analysis of 65 low- and middle-income countries," Social Science & Medicine, Elsevier, vol. 277(C).
    3. Mathieu J. P. Poirier & Karen A. Grépin & Michel Grignon, 2020. "Approaches and Alternatives to the Wealth Index to Measure Socioeconomic Status Using Survey Data: A Critical Interpretive Synthesis," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 148(1), pages 1-46, February.
    4. Kenneth Harttgen & Stefan Lang & Judith Santer & Johannes Seiler, 2017. "Modeling under-5 mortality through multilevel structured additive regression with varying coefficients for Asia and Sub-Saharan Africa," Working Papers 2017-15, Faculty of Economics and Statistics, Universität Innsbruck.

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