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Child mortality in rural India

  • Bas Klaauw

    ()

  • Limin Wang

    ()

The authors focus on infant and child mortality in rural areas of India. They construct a flexible duration model framework that allows for frailty at multiple levels and interactions between the child's age and individual socioeconomic, and environmental characteristics. The model is estimated using the 1998-99 wave of the Indian National Family and Health Survey. The estimated results show that socioeconomic and environmental characteristics have significantly different effects on mortality rates at different ages. These are particularly important immediately after birth. The authors use the estimated model for policy experiments. These indicate that child mortality can be reduced substantially, particularly by improving the education of women and reducing indoor air pollution caused by cooking fuels. In addition, providing access to electricity and sanitation facilities can reduce under-five-years mortality rates significantly.

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File URL: http://hdl.handle.net/10.1007/s00148-009-0290-3
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Article provided by Springer in its journal Journal of Population Economics.

Volume (Year): 24 (2011)
Issue (Month): 2 (April)
Pages: 601-628

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Handle: RePEc:spr:jopoec:v:24:y:2011:i:2:p:601-628
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  1. Maitra, Pushkar, 2004. "Parental bargaining, health inputs and child mortality in India," Journal of Health Economics, Elsevier, vol. 23(2), pages 259-291, March.
  2. Ridder, G. & Tunali, I., 1997. "Stratified Partial Likelihood Estimation," Papers 1997/17, Koc University.
  3. Jalan, Jyotsna & Ravallion, Martin, 2001. "Does piped water reduce diarrhea for children in rural India ?," Policy Research Working Paper Series 2664, The World Bank.
  4. Gerald Makepeace & Sarmistha Pal, 2008. "Understanding the effects of siblings on child mortality: evidence from India," Journal of Population Economics, Springer, vol. 21(4), pages 877-902, October.
  5. Maitra, Pushkar & Pal, Sarmistha, 2008. "Birth spacing, fertility selection and child survival: Analysis using a correlated hazard model," Journal of Health Economics, Elsevier, vol. 27(3), pages 690-705, May.
  6. Bhargava, Alok, 2003. "Family planning, gender differences and infant mortality: evidence from Uttar Pradesh, India," Journal of Econometrics, Elsevier, vol. 112(1), pages 225-240, January.
  7. Pritchett, Lant & Summers, Lawrence H., 1993. "Wealthier is healthier," Policy Research Working Paper Series 1150, The World Bank.
  8. Bhalotra, Sonia & Soest, Arthur van, 2008. "Birth-spacing, fertility and neonatal mortality in India: Dynamics, frailty, and fecundity," Journal of Econometrics, Elsevier, vol. 143(2), pages 274-290, April.
  9. Stephen G. Donald & Kevin Lang, 2007. "Inference with Difference-in-Differences and Other Panel Data," The Review of Economics and Statistics, MIT Press, vol. 89(2), pages 221-233, May.
  10. Van den Berg, Gerard J., 2000. "Duration Models: Specification, Identification, and Multiple Durations," MPRA Paper 9446, University Library of Munich, Germany.
  11. Wiji Arulampalam & Sonia Bhalotra, 2006. "Sibling death clustering in India: state dependence "versus" unobserved heterogeneity," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 169(4), pages 829-848.
  12. 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.
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