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Is Economic Growth Associated with Reduction in Child Undernutrition in India?

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  • Malavika A Subramanyam
  • Ichiro Kawachi
  • Lisa F Berkman
  • S V Subramanian
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    Abstract

    Economic growth is widely perceived as a major policy instrument in reducing childhood undernutrition in India. The association between changes in state per capita income and the risk of undernutrition among children in India were assessed. Data for this analysis came from three cross-sectional waves of the National Family Health Survey (NFHS) conducted in 1992–93, 1998–99, and 2005–06 in India. The sample sizes in the three waves were 33,816, 30,383, and 28,876 children, respectively. After excluding observations missing on the child anthropometric measures and the independent variables included in the study, the analytic sample size was 28,066, 26,121, and 23,139, respectively, with a pooled sample size of 77,326 children. URL:[http://www.plosmedicine.org/article/info%3Adoi%2F10.1371%2Fjournal.pmed.1000424].

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    Bibliographic Info

    Paper provided by eSocialSciences in its series Working Papers with number id:3926.

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    Date of creation: Apr 2011
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    Handle: RePEc:ess:wpaper:id:3926

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    Keywords: child; India; undernutrition; NFHS; national family health survey; children; anthropometric; demographic; socioeconomic covariates; economic growth; direct investments; primary health care;

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    1. Smith, Lisa C & Haddad, Lawrence, 2002. "How Potent Is Economic Growth in Reducing Undernutrition? What Are the Pathways of Impact? New Cross-Country Evidence," Economic Development and Cultural Change, University of Chicago Press, vol. 51(1), pages 55-76, October.
    2. Ravallion, Martin, 1990. "Income Effects on Undernutrition," Economic Development and Cultural Change, University of Chicago Press, vol. 38(3), pages 489-515, April.
    3. Sudhir Anand & Martin Ravallion, 1993. "Human Development in Poor Countries: On the Role of Private Incomes and Public Services," Journal of Economic Perspectives, American Economic Association, vol. 7(1), pages 133-150, Winter.
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    Cited by:
    1. Stefan Lang & Nikolaus Umlauf & Peter Wechselberger & Kenneth Harttgen & Thomas Kneib, 2012. "Multilevel structured additive regression," Working Papers 2012-07, Faculty of Economics and Statistics, University of Innsbruck.

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