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.
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Acknowledgments
The authors are grateful for very helpful comments provided by Stephen Gyimah and two anonymous reviewers on earlier versions of this paper. This study was completed while D. Walter Rasugu Omariba was a postdoctoral fellow at the Offord Centre for Child Studies, McMaster University with funding from the Institute of Population and Public Health of the Canadian Institutes of Health Research (CIHR).
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Omariba, D.W.R., Beaujot, R. & Rajulton, F. Determinants of infant and child mortality in Kenya: an analysis controlling for frailty effects. Popul Res Policy Rev 26, 299–321 (2007). https://doi.org/10.1007/s11113-007-9031-z
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DOI: https://doi.org/10.1007/s11113-007-9031-z