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Role of the Household and Community in Determining Child Health

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Author Info
Mani, Subha

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Abstract

Nutritional status at a young age is positively associated with an individual?s total human capital accumulated. Higher levels of human capital are in turn strongly correlated with an individual?s economic and social well-being. Health is one such dimension of human capital and improvements in children?s nutritional status improve an individual?s overall lifetime well-being. This paper examines the various child level, household level, and community level characteristics that determine health status among children. The paper uses data from the three waves of the Indonesian Family Life Survey to assess the gender-specific determinants of child health outcomes. I do not find any evidence for gender-differential impact of the household and community characteristics in determining child health. I find that household characteristics like parental height have a strong positive effect on determining child health. There is some evidence supporting the positive association between household income and child health. Among the community infrastructure variables ? measure of prevalence of electricity in the community and dummy for presence of paved road in the community are both positively associated with child health. The results obtained here are robust to a number of econometric concerns like measurement error in household income variable, correlation between community time-invariant unobservables and household specific unobservables, correlation between community time-invariant unobservables and community resource availability variables. Community level fixed-effects along with IV techniques used in this paper address the aforementioned methodological concerns.

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Paper provided by World Institute for Development Economic Research (UNU-WIDER) in its series Working Papers with number UNU-WIDER Research Paper RP2007/78.

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Length: 24 pages
Date of creation: 2007
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Handle: RePEc:unu:wpaper:rp2007-78

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Keywords: child health; well-being; nutrition; Indonesia;

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References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
  1. Horton, Susan, 1986. "Child nutrition and family size in the Philippines," Journal of Development Economics, Elsevier, vol. 23(1), pages 161-176, September. [Downloadable!] (restricted)
  2. David Levine & Minnie Ames, 2003. "Gender Bias and The Indonesian Financial Crisis: Were Girls Hit Hardest?," Center for International and Development Economics Research, Working Paper Series 1046, Center for International and Development Economics Research, Institute for Business and Economic Research, UC Berkeley. [Downloadable!]
    Other versions:
  3. Strauss, John & Thomas, Duncan, 1995. "Human resources: Empirical modeling of household and family decisions," Handbook of Development Economics, in: Hollis Chenery† & T.N. Srinivasan (ed.), Handbook of Development Economics, edition 1, volume 3, chapter 34, pages 1883-2023 Elsevier. [Downloadable!] (restricted)
  4. Strauss, John & Thomas, Duncan, 2008. "Health over the Life Course," Handbook of Development Economics, Elsevier. [Downloadable!] (restricted)
  5. Thomas, Duncan & Strauss, John & Henriques, Maria-Helena, 1990. "Child survival, height for age and household characteristics in Brazil," Journal of Development Economics, Elsevier, vol. 33(2), pages 197-234, October. [Downloadable!] (restricted)
  6. John Strauss & Duncan Thomas, 1998. "Health, Nutrition, and Economic Development," Journal of Economic Literature, American Economic Association, vol. 36(2), pages 766-817, June. [Downloadable!] (restricted)
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  7. Thomas, Duncan & Strauss, John, 1992. "Prices, infrastructure, household characteristics and child height," Journal of Development Economics, Elsevier, vol. 39(2), pages 301-331, October. [Downloadable!] (restricted)
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  8. Anil B. Deolalikar, 1996. "Child nutritional status and child growth in Kenya: Socioeconomic determinants," Journal of International Development, John Wiley & Sons, Ltd., vol. 8(3), pages 375-393.
  9. Douglas Staiger & James H. Stock, 1997. "Instrumental Variables Regression with Weak Instruments," Econometrica, Econometric Society, vol. 65(3), pages 557-586, May.
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  10. Thomas, D. & Strauss, J., 1997. "Health and Wages: Evidence on Men and Women in Urban Brazil," Papers 97-05, RAND - Reprint Series.
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  11. Strauss, John, 1986. "Does Better Nutrition Raise Farm Productivity?," Journal of Political Economy, University of Chicago Press, vol. 94(2), pages 297-320, April. [Downloadable!] (restricted)
  12. Heller, Peter S. & Drake, William D., 1979. "Malnutrition, child morbidity and the family decision process," Journal of Development Economics, Elsevier, vol. 6(2), pages 203-235, April. [Downloadable!] (restricted)
  13. Hoddinott, John & Kinsey, Bill, 2001. " Child Growth in the Time of Drought," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 63(4), pages 409-36, September. [Downloadable!] (restricted)
  14. Stock, James H & Wright, Jonathan H & Yogo, Motohiro, 2002. "A Survey of Weak Instruments and Weak Identification in Generalized Method of Moments," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(4), pages 518-29, October.
  15. Wolfe, Barbara L. & Behrman, Jere R., 1982. "Determinants of child mortality, health, and nutrition in a developing country," Journal of Development Economics, Elsevier, vol. 11(2), pages 163-193, October. [Downloadable!] (restricted)
  16. Michael Kevane & David Levine, 2000. "The Changing Status of Daughters in Indonesia," Institute for Research on Labor and Employment, Working Paper Series 1014, Institute of Industrial Relations, UC Berkeley. [Downloadable!]
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Cited by:
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  1. Subha Mani & John Hoddinott & John Strauss, 2009. "Long-Term Impact of Investments in Early Schooling – Empirical Evidence from Rural Ethiopia," Fordham Economics Discussion Paper Series dp2009-03, Fordham University, Department of Economics. [Downloadable!]
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