{"id":{"repo_id":"cape-town","oai_identifier":"oai:open.uct.ac.za:11427/10264"},"canonical_url":"https://search.dev.ndltd.org/etd/cape-town/oai:open.uct.ac.za:11427/10264","repository":{"repo_id":"cape-town","name":"University of Cape Town","base_url":"https://open.uct.ac.za/oai/request"},"display":{"title":"Fertility differentials in South Africa: effects of race on fertility, evidence from National Income Dynamic Survey","abstract":"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.","abstract_html":"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.","abstract_has_math":false,"creators":["Chingwalu, Julius"],"institution":"Centre for Actuarial Research (CARE)","degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":null,"school":null,"contributors":[],"advisors":["Moultrie, Tom"],"committee_chairs":[],"committee_members":[],"year":2011,"date_issued":"2011","date_published":"2011","updated_at":"2026-07-22T22:23:21Z","subjects":[],"languages":["eng"],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/11427/10264","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.advisor","label":"Advisor","values":["Moultrie, Tom"]},{"key":"dc:creator","label":"Author","values":["Chingwalu, Julius"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2014-12-27T14:17:45Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2014-12-27T14:17:45Z"]},{"key":"dc:date.issued","label":"Date","values":["2011"]},{"key":"dc:publisher.department","label":"Dc Publisher Department","values":["Centre for Actuarial Research (CARE)"]},{"key":"dc:publisher.institution","label":"Dc Publisher Institution","values":["University of Cape Town"]},{"key":"dc:type","label":"Dc Type","values":["Master Thesis"]},{"key":"dc:type.qualificationlevel","label":"Dc Type Qualificationlevel","values":["Masters"]},{"key":"dc:type.qualificationname","label":"Dc Type Qualificationname","values":["MPhil"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language.iso","label":"Language (ISO)","values":["eng"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.uri","label":"Identifier URI","values":["http://hdl.handle.net/11427/10264"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Includes abstract.","Includes bibliographical references (leaves 66-68)."]},{"key":"dc:description.abstract","label":"Abstract","values":["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."]},{"key":"dc:title","label":"Title","values":["Fertility differentials in South Africa: effects of race on fertility, evidence from National Income Dynamic Survey"]}]}],"canonical_facts":{"dc:contributor.advisor":["Moultrie, Tom"],"dc:creator":["Chingwalu, Julius"],"dc:date.accessioned":["2014-12-27T14:17:45Z"],"dc:date.available":["2014-12-27T14:17:45Z"],"dc:date.issued":["2011"],"dc:description":["Includes abstract.","Includes bibliographical references (leaves 66-68)."],"dc:description.abstract":["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."],"dc:identifier.uri":["http://hdl.handle.net/11427/10264"],"dc:language.iso":["eng"],"dc:publisher.department":["Centre for Actuarial Research (CARE)"],"dc:publisher.institution":["University of Cape Town"],"dc:title":["Fertility differentials in South Africa: effects of race on fertility, evidence from National Income Dynamic Survey"],"dc:type":["Master Thesis"],"dc:type.qualificationlevel":["Masters"],"dc:type.qualificationname":["MPhil"]},"updated_at":"2026-07-22T22:23:21Z"}