Correlated mortality risks of siblings in Kenya

Walter Rasugu Omariba, Fernando Rajulton and Roderic Beaujot
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Walter Rasugu Omariba: Statistics Canada
Fernando Rajulton: University of Western Ontario
Roderic Beaujot: Western University

Demographic Research, 2008, vol. 18, issue 11, 311-336

Abstract: Random-effect models have been useful in demonstrating how unobserved factors are related to infant or child death clustering. Another potential hypothesis is state dependence whereby the death of an older sibling affects the risk of death of a subsequent sibling. Probit regression models incorporating state dependence and unobserved heterogeneity are applied to the 1998 Demographic and Health Survey (DHS) data for Kenya. We find that mortality risks of adjacent siblings are dependent: a child whose preceding sibling died is 1.8 times more likely to die. After adjusting for unobserved heterogeneity, the death of the previous child accounts for 40% of child death clustering. Further, eliminating state dependence would reduce infant mortality among second- and higher-order births by 12.5%.

Keywords: unobserved heterogeneity; Kenya; death clustering; initial conditions problem; sequence data; state dependence; logit model (search for similar items in EconPapers)
JEL-codes: J1 Z0 (search for similar items in EconPapers)
Date: 2008
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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Persistent link: https://EconPapers.repec.org/RePEc:dem:demres:v:18:y:2008:i:11

DOI: 10.4054/DemRes.2008.18.11

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