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

Determinants of infant and child mortality in Kenya: an analysis controlling for frailty effects 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. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Population Research and Policy Review Springer Journals

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

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Publisher
Kluwer Academic Publishers
Copyright
Copyright © 2007 by Springer Science+Business Media B.V.
Subject
Social Sciences; Population Economics ; Economic Policy; Economic Geography; Demography
ISSN
0167-5923
eISSN
1573-7829
D.O.I.
10.1007/s11113-007-9031-z
Publisher site
See Article on Publisher Site

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.

Journal

Population Research and Policy ReviewSpringer Journals

Published: Jun 19, 2007

References

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