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Socio- Economic differentials in fertility in Zimbabwe from 1980 to 2005
The study utilises four Demographic and Health Surveys (DHSS) conducted in 1988, 1994, 1999, and 2005 in Zimbabwe to examine the socioeconomic differentials in fertility over time. The period fertility (age-specific and total fertility) rates, cohort-period fertility rates (CPFRs), projected parity...
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| Format: | Thesis |
| Language: | English |
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Centre for Actuarial Research (CARE)
2014
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| _version_ | 1867613188131913728 |
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| access_status_str | Open Access |
| author | Chemhaka, Garikayi Bernard |
| author2 | Moultrie, Tom |
| author_browse | Chemhaka, Garikayi Bernard Moultrie, Tom |
| author_facet | Moultrie, Tom Chemhaka, Garikayi Bernard |
| author_sort | Chemhaka, Garikayi Bernard |
| collection | Thesis |
| description | The study utilises four Demographic and Health Surveys (DHSS) conducted in 1988, 1994, 1999, and 2005 in Zimbabwe to examine the socioeconomic differentials in fertility over time. The period fertility (age-specific and total fertility) rates, cohort-period fertility rates (CPFRs), projected parity progression ratios (projected PPRs), and logistic regression methods are used in the analysis, overall, to assess the nature of fertility transition. All the measures of fertility indicate an ongoing fertility decline in Zimbabwe among all parities and age groups mainly as a result of an increase in modern contraceptive uptake. Overall, fertility decline has been much more rapidly in the in the 1980 decade and slowed since 1990. The analysis shows an inverse association between urban residence, education and economic status, measured by ownership of household assets, and fertility based on the total fertility (TFR), CPFRs and projected PPRs estimates. Further analysis of the net effects of economic status and education using multivariate logistic regressions suggests the odds of having a child (not having a child) decreases (increases) with economic status and education. Overall, even after controlling for various socioeconomic variables fertility decreases with a rising level in education and/or economic status. |
| format | Thesis |
| id | oai:open.uct.ac.za:11427/5898 |
| institution | University of Cape Town (South Africa) |
| language | eng |
| last_indexed | 2026-06-10T12:32:09.918Z |
| 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:11427/5898 Socio- Economic differentials in fertility in Zimbabwe from 1980 to 2005 Chemhaka, Garikayi Bernard Moultrie, Tom Demography The study utilises four Demographic and Health Surveys (DHSS) conducted in 1988, 1994, 1999, and 2005 in Zimbabwe to examine the socioeconomic differentials in fertility over time. The period fertility (age-specific and total fertility) rates, cohort-period fertility rates (CPFRs), projected parity progression ratios (projected PPRs), and logistic regression methods are used in the analysis, overall, to assess the nature of fertility transition. All the measures of fertility indicate an ongoing fertility decline in Zimbabwe among all parities and age groups mainly as a result of an increase in modern contraceptive uptake. Overall, fertility decline has been much more rapidly in the in the 1980 decade and slowed since 1990. The analysis shows an inverse association between urban residence, education and economic status, measured by ownership of household assets, and fertility based on the total fertility (TFR), CPFRs and projected PPRs estimates. Further analysis of the net effects of economic status and education using multivariate logistic regressions suggests the odds of having a child (not having a child) decreases (increases) with economic status and education. Overall, even after controlling for various socioeconomic variables fertility decreases with a rising level in education and/or economic status. 2014-07-31T12:40:06Z 2014-07-31T12:40:06Z 2009 Master Thesis Masters MCom http://hdl.handle.net/11427/5898 eng application/pdf Centre for Actuarial Research (CARE) Faculty of Commerce University of Cape Town |
| spellingShingle | Demography Chemhaka, Garikayi Bernard Socio- Economic differentials in fertility in Zimbabwe from 1980 to 2005 |
| thesis_degree_str | Master's |
| title | Socio- Economic differentials in fertility in Zimbabwe from 1980 to 2005 |
| title_full | Socio- Economic differentials in fertility in Zimbabwe from 1980 to 2005 |
| title_fullStr | Socio- Economic differentials in fertility in Zimbabwe from 1980 to 2005 |
| title_full_unstemmed | Socio- Economic differentials in fertility in Zimbabwe from 1980 to 2005 |
| title_short | Socio- Economic differentials in fertility in Zimbabwe from 1980 to 2005 |
| title_sort | socio economic differentials in fertility in zimbabwe from 1980 to 2005 |
| topic | Demography |
| url | http://hdl.handle.net/11427/5898 |
| work_keys_str_mv | AT chemhakagarikayibernard socioeconomicdifferentialsinfertilityinzimbabwefrom1980to2005 |