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dc.contributor.authorBogale, Berhane W
dc.date.accessioned2013-05-08T13:16:44Z
dc.date.available2013-05-08T13:16:44Z
dc.date.issued1997-10
dc.identifier.urihttp://erepository.uonbi.ac.ke:8080/xmlui/handle/123456789/20331
dc.description.abstractThe objective of this study was to estimate infant and child mortality differential with the associated socio-economic factors at macro-level In Kenya. The variables utilized are maternal education, paternal education, working status and place of residence of mothers. Data analysis was based on Kenya Demographic Health Survey (KDHS) 1993. The study used the method of Trussell variant of the Brass child survival for estimating infant and child mortality and Coale Demeny regional North model life tables. The findings are consistent with those from earlier studies. The education level of mothers and fathers as hypothesized were found to be inversely related to infant and child mortality. Most of the decline in infant and child mortality could be accounted for by increased education of both mothers and fathers. The study reveals that infant and child mortality is highest for rural residence mothers and lowest for those who reside in urban areas. The association of working status of mothers using the categories of non working and working mothers show inconsistency In the variable. This study recommends that in,order,to reduce infant and child mortality, mothers' and fathers' education need to be accelerated to secondary level and above. The government could promote survival of infants and children of working lactating mothers by providing of breast feeding places, breaks, job security and paid maternity leaves.en
dc.description.sponsorshipUniversity of Nairobien
dc.language.isoenen
dc.subjectInfant & child mortalityen
dc.subjectSocio-economic differentialsen
dc.subjectGovernmental policyen
dc.subjectKenya Demographic Health Survey (KDHS)en
dc.titleThe socio-economic differentials in infant and child mortality in Kenya : evidenced from the 1993 KDHS data.en
dc.title.alternativeEvidenced from the 1993 KDHS dataen
dc.typeThesisen
local.publisherDepartment of Population Studies & Research Institute, University of Nairobien


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