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Sensitivity analysis with simulated data errors : synthetic extinct generations method
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_ | 1867613410376548352 |
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| access_status_str | Open Access |
| author | Ruzvidzo, Martin |
| author2 | Dorrington, Rob |
| author_browse | Dorrington, Rob Ruzvidzo, Martin |
| author_facet | Dorrington, Rob Ruzvidzo, Martin |
| author_sort | Ruzvidzo, Martin |
| collection | Thesis |
| description | Includes abstract. |
| format | Thesis |
| id | oai:open.uct.ac.za:11427/5889 |
| institution | University of Cape Town (South Africa) |
| language | eng |
| last_indexed | 2026-06-10T12:35:42.452Z |
| 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:11427/5889 Sensitivity analysis with simulated data errors : synthetic extinct generations method Ruzvidzo, Martin Dorrington, Rob Demography Includes abstract. Includes bibliographical references (leaves 59-61). This study develops the key components of the Synthetic Extinct Generations (SEG+delta) method in trying to answer research questions raised by Dorrington and Timeaus (2008) and in the process investigates the different sets of combinations of the key components of the SEG+delta method when applied to the 23 error scenarios used by Hill and Choi (2004). In addition, the study determines the pattern of estimates of 4sfi15 per set of combinations, the combination that results in the best estimate of 45q15 per scenario and per combination of scenarios and the best combination that result in best estimate of 4sfi15 across all 23 error scenarios. The current study assesses the errors in age reported in censuses by comparing the weighted average of the ages of seven countries in the sub-Saharan African region to the age error pattern used by Hill and Choi (2004). These findings suggest that there is no significant difference (except of the zig-zag pattern in age errors at older ages in the Hill and Choi scenario) in general pattern of age errors of the sub-Saharan African region and the pattern used by Hill and Choi (2004). 2014-07-31T12:39:34Z 2014-07-31T12:39:34Z 2009 Master Thesis Masters MPhil http://hdl.handle.net/11427/5889 eng application/pdf Centre for Actuarial Research (CARE) Faculty of Commerce University of Cape Town |
| spellingShingle | Demography Ruzvidzo, Martin Sensitivity analysis with simulated data errors : synthetic extinct generations method |
| thesis_degree_str | Master's |
| title | Sensitivity analysis with simulated data errors : synthetic extinct generations method |
| title_full | Sensitivity analysis with simulated data errors : synthetic extinct generations method |
| title_fullStr | Sensitivity analysis with simulated data errors : synthetic extinct generations method |
| title_full_unstemmed | Sensitivity analysis with simulated data errors : synthetic extinct generations method |
| title_short | Sensitivity analysis with simulated data errors : synthetic extinct generations method |
| title_sort | sensitivity analysis with simulated data errors synthetic extinct generations method |
| topic | Demography |
| url | http://hdl.handle.net/11427/5889 |
| work_keys_str_mv | AT ruzvidzomartin sensitivityanalysiswithsimulateddataerrorssyntheticextinctgenerationsmethod |