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Micro-level estimation of child malnutrition indicators and its application in Cambodia

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  • Fujii, Tomoki

Abstract

One of the major limitations in addressing child malnutrition is lack of information that could be used to target resources. By combining demographic and health survey (DHS) and population census data, the author disaggregates the estimates of the prevalence of child malnutrition in Cambodia from currently available 17 DHS strata into 1,594 communes. The methodology is built on the small-area estimation technique developed by Elbers, Lanjouw, and Lanjouw. The author extends it to jointly estimate multiple indicators and to allow for a richer structure of error terms. Average standard errors for the commune-level estimates in this study were about 4 percent, a magnitude comparable to those for stratum-level estimates derived from DHS only. The author demonstrates three applications of these estimates. First, he explores the relationship between malnutrition, consumption poverty, and inequality. The nonlinear effects of consumption on nutritional status of children are a key component of the relationship. Second, he conducts a decomposition analysis of health inequality and finds that the between-location share of health inequality is lower than with consumption inequality. Finally, he evaluates the potential gains from geographic targeting. The author finds that the savings in the cost of a nutrition program from commune-level targeting is on average at least two to three times higher than that from stratum-level targeting when the per capita cost of the program is fixed.

Suggested Citation

  • Fujii, Tomoki, 2005. "Micro-level estimation of child malnutrition indicators and its application in Cambodia," Policy Research Working Paper Series 3662, The World Bank.
    • Handle: RePEc:wbk:wbrwps:3662
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    Citations

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    Cited by:

    1. Tomoki Fujii, 2013. "Geographic decomposition of inequality in health and wealth: evidence from Cambodia," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 11(3), pages 373-392, September.
    2. Simler, Kenneth R., 2006. "Nutrition mapping in Tanzania: an exploratory analysis," FCND discussion papers 204, International Food Policy Research Institute (IFPRI).
    3. Beatrice Lorge Rogers & James Wirth & Kathy Macías & Parke Wilde, 2007. "Mapping Hunder in Panama: A Report on Mapping Malnutrition Prevalence," Working Papers in Food Policy and Nutrition 35, Friedman School of Nutrition Science and Policy.
    4. Fujii, Tomoki, 2008. "How Well Can We Target Aid with Rapidly Collected Data? Empirical Results for Poverty Mapping from Cambodia," World Development, Elsevier, vol. 36(10), pages 1830-1842, October.
    5. Pave Sohnesen,Thomas & Ambel,Alemayehu A. & Fisker,Peter Simonsen & Andrews,Colin & Khan,Qaiser M., 2016. "Small area estimation of child malnutrition in Ethiopian woredas," Policy Research Working Paper Series 7581, The World Bank.
    6. Dhongde, Shatakshee, 2017. "Measuring Segregation of the Poor: Evidence from India," World Development, Elsevier, vol. 89(C), pages 111-123.
    7. Beatrice Lorge Rogers & Kathy Macías & Parke Wilde, "undated". "Atlas of Hunger and Malnutrition in the Dominican Republic," Working Papers in Food Policy and Nutrition 9602, Friedman School of Nutrition Science and Policy, revised 01 Apr 2007.
    8. Beatrice Lorge Rogers & James Wirth & Kathy Macías & Parke Wilde, 2007. "Mapping Hunder: A Report on Mapping Malnutrition Prevalence in the Dominican Republic, Ecuador, and Panama," Working Papers in Food Policy and Nutrition 34, Friedman School of Nutrition Science and Policy.
    9. Beatrice Lorge Rogers & James Wirth & Kathy Macías & Parke Wilde, 2007. "Mapping Hunger in Ecuador: A Report on Mapping Malnutrition Prevalence," Working Papers in Food Policy and Nutrition 9602, Friedman School of Nutrition Science and Policy.

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