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Micro-Level Estimation of Child Undernutrition Indicators in Cambodia

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  • Tomoki Fujii

Abstract

One major limitation to addressing child undernutrition is a lack of the information required to target resources. This article extends the small-area estimation technique of Elbers, Lanjouw, and Lanjouw (2002, 2003) to jointly estimate multiple equations while allowing for individual-specific random errors across equations (in addition to cluster- and household-specific random errors). Estimates of the prevalence of stunting and underweight for children under age 5 in Cambodia from 17 Demographic and Health Survey strata are disaggregated into 1,594 communes by combining the Demographic and Health Survey data. The estimates are consistent with the survey-only estimates at the aggregate and primary sampling unit levels. The accuracy of the commune-level estimates is comparable to the survey-only estimates at the stratum level. The results are robust, and the estimates are useful for policy analysis and formulation. The small-area estimates can be presented in various ways. The strengths of each representation are also discussed. Copyright , Oxford University Press.

Suggested Citation

  • Tomoki Fujii, 2010. "Micro-Level Estimation of Child Undernutrition Indicators in Cambodia," The World Bank Economic Review, World Bank, vol. 24(3), pages 520-553, December.
    • Handle: RePEc:oup:wbecrv:v:24:y:2010:i:3:p:520-553
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    File URL: http://hdl.handle.net/10.1093/wber/lhq016
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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. Piyush Kant Rai & Sarla Pareek & Hemlata Joshi, 2017. "Met And Unmet Need For Contraception: Small Area Estimation For Rajasthan State Of India," Statistics in Transition New Series, Polish Statistical Association, vol. 18(2), pages 329-360, June.
    3. Ferre, Celine & Ferreira, Francisco H.G. & Lanjouw, Peter, 2010. "Is there a metropolitan bias ? the inverse relationship between poverty and city size in selected developing countries," Policy Research Working Paper Series 5508, The World Bank.
    4. Rai Piyush Kant & Pareek Sarla & Joshi Hemlata, 2017. "Met and Unmet Need for Contraception: Small Area Estimation for Rajasthan State of India," Statistics in Transition New Series, Statistics Poland, vol. 18(2), pages 329-360, June.
    5. Hai‐Anh Dang & Dean Jolliffe & Calogero Carletto, 2019. "Data Gaps, Data Incomparability, And Data Imputation: A Review Of Poverty Measurement Methods For Data‐Scarce Environments," Journal of Economic Surveys, Wiley Blackwell, vol. 33(3), pages 757-797, July.
    6. Buehler, Dorothee C. & Hartje, Rebecca C. & Grote, Ulrike, 2016. "Don’t Forget about the Children – Latent Food Insecurity in Rural Cambodia," 90th Annual Conference, April 4-6, 2016, Warwick University, Coventry, UK 236333, Agricultural Economics Society.
    7. Hai‐Anh H. Dang, 2021. "To impute or not to impute, and how? A review of poverty‐estimation methods in the absence of consumption data," Development Policy Review, Overseas Development Institute, vol. 39(6), pages 1008-1030, November.
    8. van der Weide, Roy & Blankespoor, Brian & Elbers, Chris & Lanjouw, Peter, 2024. "How accurate is a poverty map based on remote sensing data? An application to Malawi," Journal of Development Economics, Elsevier, vol. 171(C).
    9. Thomas Pave Sohnesen & Alemayehu Azeze Ambel & Peter Fisker & Colin Andrews & Qaiser Khan, 2017. "Small area estimation of child undernutrition in Ethiopian woredas," PLOS ONE, Public Library of Science, vol. 12(4), pages 1-17, April.
    10. Dang,Hai-Anh H., 2018. "To impute or not to impute ? a review of alternative poverty estimation methods in the context of unavailable consumption data," Policy Research Working Paper Series 8403, The World Bank.
    11. Garcia Rojas, Diana C. & Appelt, Jonas L. & Epprecht, Michael & Kounnavong, Sengchanh & Elbers, Chris & Lanjouw, Peter F. & van Vliet, Jasper, 2024. "Interactions between sustainable development goals at the district level in Lao PDR," World Development, Elsevier, vol. 178(C).
    12. Matthieu Clément & Lucie Piaser, 2022. "Geography of Income and Education Inequalities in Mexico: Evidence from Small Area Estimation and Exploratory Spatial Analysis," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 34(2), pages 703-732, April.
    13. Elbers, Chris & van der Weide, Roy, 2014. "Estimation of normal mixtures in a nested error model with an application to small area estimation of poverty and inequality," Policy Research Working Paper Series 6962, The World Bank.

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