Sensitivity analysis with simulated data errors : synthetic extinct generations method

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 s...

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Bibliographic Details
Main Author: Ruzvidzo, Martin
Other Authors: Dorrington, Rob
Format: Dissertation
Language:English
Published: University of Cape Town 2014
Subjects:
Online Access:http://hdl.handle.net/11427/5889
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spelling ndltd-netd.ac.za-oai-union.ndltd.org-uct-oai-localhost-11427-58892020-10-06T05:11:36Z 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 University of Cape Town Faculty of Commerce Centre for Actuarial Research (CARE)
collection NDLTD
language English
format Dissertation
sources NDLTD
topic Demography
spellingShingle Demography
Ruzvidzo, Martin
Sensitivity analysis with simulated data errors : synthetic extinct generations method
description 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).
author2 Dorrington, Rob
author_facet Dorrington, Rob
Ruzvidzo, Martin
author Ruzvidzo, Martin
author_sort Ruzvidzo, Martin
title Sensitivity analysis with simulated data errors : synthetic extinct generations method
title_short 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_sort sensitivity analysis with simulated data errors : synthetic extinct generations method
publisher University of Cape Town
publishDate 2014
url http://hdl.handle.net/11427/5889
work_keys_str_mv AT ruzvidzomartin sensitivityanalysiswithsimulateddataerrorssyntheticextinctgenerationsmethod
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