Sensitivity analysis with simulated data errors : synthetic extinct generations method

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dc.contributor.advisorDorrington, Roben_ZA
dc.contributor.authorRuzvidzo, Martinen_ZA
dc.date.accessioned2014-07-31T12:39:34Z
dc.date.available2014-07-31T12:39:34Z
dc.date.issued2009en_ZA
dc.descriptionIncludes abstract.
dc.descriptionIncludes bibliographical references (leaves 59-61).
dc.description.abstractThis 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).en_ZA
dc.identifier.apacitationRuzvidzo, M. (2009). <i>Sensitivity analysis with simulated data errors : synthetic extinct generations method</i>. (Thesis). University of Cape Town ,Faculty of Commerce ,Centre for Actuarial Research (CARE). Retrieved from http://hdl.handle.net/11427/5889en_ZA
dc.identifier.chicagocitationRuzvidzo, Martin. <i>"Sensitivity analysis with simulated data errors : synthetic extinct generations method."</i> Thesis., University of Cape Town ,Faculty of Commerce ,Centre for Actuarial Research (CARE), 2009. http://hdl.handle.net/11427/5889en_ZA
dc.identifier.citationRuzvidzo, M. 2009. Sensitivity analysis with simulated data errors : synthetic extinct generations method. University of Cape Town.en_ZA
dc.identifier.ris TY - Thesis / Dissertation AU - Ruzvidzo, Martin AB - 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). DA - 2009 DB - OpenUCT DP - University of Cape Town LK - https://open.uct.ac.za PB - University of Cape Town PY - 2009 T1 - Sensitivity analysis with simulated data errors : synthetic extinct generations method TI - Sensitivity analysis with simulated data errors : synthetic extinct generations method UR - http://hdl.handle.net/11427/5889 ER - en_ZA
dc.identifier.urihttp://hdl.handle.net/11427/5889
dc.identifier.vancouvercitationRuzvidzo M. Sensitivity analysis with simulated data errors : synthetic extinct generations method. [Thesis]. University of Cape Town ,Faculty of Commerce ,Centre for Actuarial Research (CARE), 2009 [cited yyyy month dd]. Available from: http://hdl.handle.net/11427/5889en_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.titleSensitivity analysis with simulated data errors : synthetic extinct generations methoden_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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