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Fertility differentials in South Africa: effects of race on fertility, evidence from National Income Dynamic Survey
Includes abstract.
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| Main Author: | |
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| Other Authors: | |
| Format: | Thesis |
| Language: | English |
| Published: |
Centre for Actuarial Research (CARE)
2014
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| _version_ | 1867613305742295040 |
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| access_status_str | Open Access |
| author | Chingwalu, Julius |
| author2 | Moultrie, Tom |
| author_browse | Chingwalu, Julius Moultrie, Tom |
| author_facet | Moultrie, Tom Chingwalu, Julius |
| author_sort | Chingwalu, Julius |
| collection | Thesis |
| description | Includes abstract. |
| format | Thesis |
| id | oai:open.uct.ac.za:11427/10264 |
| institution | University of Cape Town (South Africa) |
| language | eng |
| last_indexed | 2026-06-10T12:34:00.978Z |
| license_str | Not specified — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository |
| publishDate | 2014 |
| publishDateRange | 2014 |
| publishDateSort | 2014 |
| publisher | Centre for Actuarial Research (CARE) |
| publisherStr | Centre for Actuarial Research (CARE) |
| record_format | dspace |
| source_str | UCTD — University of Cape Town Open Access Repository |
| spelling | oai:open.uct.ac.za:11427/10264 Fertility differentials in South Africa: effects of race on fertility, evidence from National Income Dynamic Survey Chingwalu, Julius Moultrie, Tom Demography Includes abstract. Includes bibliographical references (leaves 66-68). 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. 2014-12-27T14:17:45Z 2014-12-27T14:17:45Z 2011 Master Thesis Masters MPhil http://hdl.handle.net/11427/10264 eng application/pdf Centre for Actuarial Research (CARE) Faculty of Commerce University of Cape Town |
| spellingShingle | Demography Chingwalu, Julius Fertility differentials in South Africa: effects of race on fertility, evidence from National Income Dynamic Survey |
| thesis_degree_str | Master's |
| title | Fertility differentials in South Africa: effects of race on fertility, evidence from National Income Dynamic Survey |
| title_full | Fertility differentials in South Africa: effects of race on fertility, evidence from National Income Dynamic Survey |
| title_fullStr | Fertility differentials in South Africa: effects of race on fertility, evidence from National Income Dynamic Survey |
| title_full_unstemmed | Fertility differentials in South Africa: effects of race on fertility, evidence from National Income Dynamic Survey |
| title_short | Fertility differentials in South Africa: effects of race on fertility, evidence from National Income Dynamic Survey |
| title_sort | fertility differentials in south africa effects of race on fertility evidence from national income dynamic survey |
| topic | Demography |
| url | http://hdl.handle.net/11427/10264 |
| work_keys_str_mv | AT chingwalujulius fertilitydifferentialsinsouthafricaeffectsofraceonfertilityevidencefromnationalincomedynamicsurvey |