Fertility differentials in South Africa: effects of race on fertility, evidence from National Income Dynamic Survey

dc.contributor.advisorMoultrie, Tomen_ZA
dc.contributor.authorChingwalu, Juliusen_ZA
dc.date.accessioned2014-12-27T14:17:45Z
dc.date.available2014-12-27T14:17:45Z
dc.date.issued2011en_ZA
dc.descriptionIncludes abstract.en_ZA
dc.descriptionIncludes bibliographical references (leaves 66-68).en_ZA
dc.description.abstractApartheid policies have been criticised for widening inequalities between population groups in South Africa. They have also been considered to have dictated differentials in demographic parameters. With lack of adequate data on social and economic variables in most demographic surveys including DHS, the use of race as a determinant of fertility seems plausible. With adequate data on social and economic factors, we use the NIDS survey to assess the effects of race on fertility after adequately controlling for social and economic factors. A logistic regression model is applied to assess the chance that a woman aged 20-24 has given birth by age 20 and a woman aged 25-29, by age 25. A linear regression model is also applied on the number of children born to a woman, standardised by age. The results show that the effect of race on fertility is not significant.en_ZA
dc.identifier.apacitationChingwalu, J. (2011). <i>Fertility differentials in South Africa: effects of race on fertility, evidence from National Income Dynamic Survey</i>. (Thesis). University of Cape Town ,Faculty of Commerce ,Centre for Actuarial Research (CARE). Retrieved from http://hdl.handle.net/11427/10264en_ZA
dc.identifier.chicagocitationChingwalu, Julius. <i>"Fertility differentials in South Africa: effects of race on fertility, evidence from National Income Dynamic Survey."</i> Thesis., University of Cape Town ,Faculty of Commerce ,Centre for Actuarial Research (CARE), 2011. http://hdl.handle.net/11427/10264en_ZA
dc.identifier.citationChingwalu, J. 2011. Fertility differentials in South Africa: effects of race on fertility, evidence from National Income Dynamic Survey. University of Cape Town.en_ZA
dc.identifier.ris TY - Thesis / Dissertation AU - Chingwalu, Julius AB - Apartheid policies have been criticised for widening inequalities between population groups in South Africa. They have also been considered to have dictated differentials in demographic parameters. With lack of adequate data on social and economic variables in most demographic surveys including DHS, the use of race as a determinant of fertility seems plausible. With adequate data on social and economic factors, we use the NIDS survey to assess the effects of race on fertility after adequately controlling for social and economic factors. A logistic regression model is applied to assess the chance that a woman aged 20-24 has given birth by age 20 and a woman aged 25-29, by age 25. A linear regression model is also applied on the number of children born to a woman, standardised by age. The results show that the effect of race on fertility is not significant. DA - 2011 DB - OpenUCT DP - University of Cape Town LK - https://open.uct.ac.za PB - University of Cape Town PY - 2011 T1 - Fertility differentials in South Africa: effects of race on fertility, evidence from National Income Dynamic Survey TI - Fertility differentials in South Africa: effects of race on fertility, evidence from National Income Dynamic Survey UR - http://hdl.handle.net/11427/10264 ER - en_ZA
dc.identifier.urihttp://hdl.handle.net/11427/10264
dc.identifier.vancouvercitationChingwalu J. Fertility differentials in South Africa: effects of race on fertility, evidence from National Income Dynamic Survey. [Thesis]. University of Cape Town ,Faculty of Commerce ,Centre for Actuarial Research (CARE), 2011 [cited yyyy month dd]. Available from: http://hdl.handle.net/11427/10264en_ZA
dc.language.isoengen_ZA
dc.publisher.departmentCentre for Actuarial Research (CARE)en_ZA
dc.publisher.facultyFaculty of Commerceen_ZA
dc.publisher.institutionUniversity of Cape Town
dc.subject.otherDemographyen_ZA
dc.titleFertility differentials in South Africa: effects of race on fertility, evidence from National Income Dynamic Surveyen_ZA
dc.typeMaster Thesis
dc.type.qualificationlevelMasters
dc.type.qualificationnameMPhilen_ZA
uct.type.filetypeText
uct.type.filetypeImage
uct.type.publicationResearchen_ZA
uct.type.resourceThesisen_ZA
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