Correlated mortality risks of siblings in Kenya: The role of state dependence

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 incorporat...

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Published in:Demographic research 2008-01, Vol.18, p.311-336
Main Authors: Omariba, Walter Rasugu, Rajulton, Fernando, Beaujot, Roderic
Format: Article
Language:English
Subjects:
Death
Kenya
Risk
State Role
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description 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%.
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subjects Death
Kenya
Risk
State Role
title Correlated mortality risks of siblings in Kenya: The role of state dependence
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