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Child mortality in rural India

  • Van der Klaauw, Bas
  • 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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Paper provided by The World Bank in its series Policy Research Working Paper Series with number 3281.

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Date of creation: 01 Apr 2004
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Handle: RePEc:wbk:wbrwps:3281
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  1. Pushkar Maitra & Sarmistha Pal, 2007. "Birth Spacing, Fertility Selection and Child Survival: Analysis using a Correlated Hazard Model," CEDI Discussion Paper Series 07-09, Centre for Economic Development and Institutions(CEDI), Brunel University.
  2. 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.
  3. Van den Berg, Gerard J., 2001. "Duration models: specification, identification and multiple durations," Handbook of Econometrics, in: J.J. Heckman & E.E. Leamer (ed.), Handbook of Econometrics, edition 1, volume 5, chapter 55, pages 3381-3460 Elsevier.
  4. Jalan, Jyotsna & Ravallion, Martin, 2003. "Does piped water reduce diarrhea for children in rural India?," Journal of Econometrics, Elsevier, vol. 112(1), pages 153-173, January.
  5. Ridder, G. & Tunali, I., 1997. "Stratified Partial Likelihood Estimation," Papers 1997/17, Koc University.
  6. 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.
  7. Makepeace, Gerry & Pal, Sarmistha, 2006. "Understanding the Effects of Siblings on Child Mortality: Evidence from India," IZA Discussion Papers 2390, Institute for the Study of Labor (IZA).
  8. Maitra, Pushkar, 2004. "Parental bargaining, health inputs and child mortality in India," Journal of Health Economics, Elsevier, vol. 23(2), pages 259-291, March.
  9. Lant Pritchett & Lawrence H. Summers, 1996. "Wealthier is Healthier," Journal of Human Resources, University of Wisconsin Press, vol. 31(4), pages 841-868.
  10. Bhalotra, Sonia R. & van Soest, Arthur, 2006. "Birth Spacing, Fertility and Neonatal Mortality in India: Dynamics, Frailty and Fecundity," IZA Discussion Papers 2163, Institute for the Study of Labor (IZA).
  11. 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.
  12. 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.
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