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Environmental determinants of child mortality in rural china : A competing risks approach

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Author Info
Jacoby, Hanan
Wang, Limin

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Abstract

We use a competing risk model to analyze environmental determinants of child mortality using the 1992 China National Health Survey, which collects information on cause of death. Our primary question is whether taking into account of cause of death using a competing risk model, compared with a simple model of all-cause mortality, affects conclusions about the effectiveness of policy interventions. There are two potential analytical advantages in using cause of death information: (1) obtaining more accurate estimates and (2) validating causal relationships. Although, we do not find significant differences between estimates obtained from the competing risk model and those from simpler hazard models, we do find evidence supporting the causal interpretations of the effect of access to safe water on child mortality. Our analysis also suggests that a respondent-based health survey can be used to collect relatively reliable information on cause of death. Modifying future demographic and health survey (DHS) instruments to collect cause of death information inexpensively may be worthwhile for enhancing the analytical strength of the DHS.

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Paper provided by The World Bank in its series Policy Research Working Paper Series with number 3241.

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Date of creation: 01 Mar 2004
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Handle: RePEc:wbk:wbrwps:3241

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Related research
Keywords: Disease Control&Prevention; Health Monitoring&Evaluation; Early Child and Children's Health; Public Health Promotion; Decentralization; Health Monitoring&Evaluation; Early Child and Children's Health; Demographics; Health Economics&Finance; Town Water Supply and Sanitation;

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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. Heckman, James & Singer, Burton, 1984. "A Method for Minimizing the Impact of Distributional Assumptions in Econometric Models for Duration Data," Econometrica, Econometric Society, vol. 52(2), pages 271-320, March. [Downloadable!] (restricted)
  2. Thomas, D & Lavy, V & Strauss, J, 1996. "Public Policy and Anthropometric Outcomes in the Cote d'Ivoire," Papers 96-19, RAND - Reprint Series.
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  3. Thomas, D. & Lavy, V. & Strauss, J., 1992. "Public Policy and Anthropometric Outcomes in Cote d'Ivoire," Papers 89, World Bank - Living Standards Measurement.
  4. Lee, Lung-fei & Rosenzweig, Mark R. & Pitt, Mark M., 1997. "The effects of improved nutrition, sanitation, and water quality on child health in high-mortality populations," Journal of Econometrics, Elsevier, vol. 77(1), pages 209-235, March. [Downloadable!] (restricted)
  5. Sebastian Galiani & Paul Gertler & Ernesto Schargrodsky, 2005. "Water for Life: The Impact of the Privatization of Water Services on Child Mortality," Journal of Political Economy, University of Chicago Press, vol. 113(1), pages 83-120, February.
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