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Determinants of infant and child mortality in Kenya: an analysis controlling for frailty effects

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Author Info
D. Omariba ()
Roderic Beaujot
Fernando Rajulton
Abstract

In this paper, Weibull unobserved heterogeneity (frailty) survival models are utilized to analyze the determinants of infant and child mortality in Kenya. The results of these models are compared to those of standard Weibull survival models. The study particularly examines the extent to which child survival risks continue to vary net of observed factors and the extent to which nonfrailty models are biased due to the violation of the statistical assumption of independence. The data came from the 1998 Kenya Demographic and Health Survey. The results of the standard Weibull survival models clearly show that biodemographic factors are more important in explaining infant mortality, while socioeconomic, sociocultural and hygienic factors are more important in explaining child mortality. Frailty effects are substantial and highly significant both in infancy and in childhood, but the conclusions remain the same as in the nonfrailty models. Copyright Springer Science+Business Media B.V. 2007

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Publisher Info
Article provided by Springer in its journal Population Research and Policy Review.

Volume (Year): 26 (2007)
Issue (Month): 3 (June)
Pages: 299-321
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Handle: RePEc:kap:poprpr:v:26:y:2007:i:3:p:299-321

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Keywords: Determinants of infant and child mortality; Mortality differentials; Unobserved heterogeneity; Frailty; Sub-Saharan Africa; Kenya;

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. Yamano, Takashi & Jayne, T. S., 2004. "Measuring the Impacts of Working-Age Adult Mortality on Small-Scale Farm Households in Kenya," World Development, Elsevier, vol. 32(1), pages 91-119, January. [Downloadable!] (restricted)
  2. Defo, B.A., 1996. "Areal and Socioeconomic Differentials in Infant and Child Mortality in Cameroon," Papers 96-05, RAND - Reprint Series.
  3. Nyambedha, Erick Otieno & Wandibba, Simiyu & Aagaard-Hansen, Jens, 2001. "Policy implications of the inadequate support systems for orphans in Western Kenya," Health Policy, Elsevier, vol. 58(1), pages 83-96, October. [Downloadable!] (restricted)
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(explanations, 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. Walter Rasugu Omariba & Fernando Rajulton & Roderic Beaujot, 2008. "Correlated mortality risks of siblings in Kenya," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 18(11), pages 311-336, April. [Downloadable!]
  2. Cynthia Chen & Jason Chen, 2009. "What is responsible for the response lag of a significant change in discretionary time use: the built environment, family and social obligations, temporal constraints, or a psychological delay factor?," Transportation, Springer, vol. 36(1), pages 27-46, January. [Downloadable!] (restricted)
  3. Lay, Jann & Robilliard, Anne-Sophie, 2009. "The complementarity of MDG achievements : the case of child mortality in Sub-Saharan Africa," Policy Research Working Paper Series 5062, The World Bank. [Downloadable!]
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