An application of synthetic panel data to poverty analysis in South Africa
type: CreativeWork
description: There is a wide-reaching consensus that data required for poverty analysis in developing countries are inadequate. Concerns have been raised on the accuracy and adequacy of household surveys, especially those emanating from Sub-Saharan Africa. Part of the debate has hinted on the existence of a statistical tragedy, but caution has also been voiced that African statistical offices are not similar and some statistical offices having stronger statistical capacities than others. The use of generalizations therefore fails to capture these variations. This thesis argues that African statistical offices are facing data challenges but not necessarily to the extent insinuated. In the post-1995 period, there has been an increase in the availability of household surveys from developing countries. This has also been accompanied by an expansion of poverty analyses efforts. Despite this surge in data availability, available household survey data remain inadequate in meeting the demand to answer poverty related enquiry. What is also evident is that cross sectional household surveys were conducted more extensively than panel data. Resultantly the paucity of panel data in developing counties is more pronounced. In South Africa, a country classified as ‘data rich’ in this thesis, there exists inadequate panel surveys that are nationally representative and covers a comprehensive period in the post-1995 period. Existing knowledge on poverty dynamics in the country has relied mostly on the use of the National Income Dynamic Study, KwaZulu Natal Dynamic Study and smaller cohort-based panels such as the Birth to Twenty and Birth to Ten cohort studies that have rarely been used in the analysis of poverty dynamics. Using mixed methods, this thesis engages these data issues. The qualitative component of this thesis uses key informants from Statistics South Africa and explores how the organization has measured poverty over the years. A historical background on the context of statistical condu…
abstract: There is a wide-reaching consensus that data required for poverty analysis in developing countries are inadequate. Concerns have been raised on the accuracy and adequacy of household surveys, especially those emanating from Sub-Saharan Africa. Part of the debate has hinted on the existence of a statistical tragedy, but caution has also been voiced that African statistical offices are not similar and some statistical offices having stronger statistical capacities than others. The use of generalizations therefore fails to capture these variations. This thesis argues that African statistical offices are facing data challenges but not necessarily to the extent insinuated. In the post-1995 period, there has been an increase in the availability of household surveys from developing countries. This has also been accompanied by an expansion of poverty analyses efforts. Despite this surge in data availability, available household survey data remain inadequate in meeting the demand to answer poverty related enquiry. What is also evident is that cross sectional household surveys were conducted more extensively than panel data. Resultantly the paucity of panel data in developing counties is more pronounced. In South Africa, a country classified as ‘data rich’ in this thesis, there exists inadequate panel surveys that are nationally representative and covers a comprehensive period in the post-1995 period. Existing knowledge on poverty dynamics in the country has relied mostly on the use of the National Income Dynamic Study, KwaZulu Natal Dynamic Study and smaller cohort-based panels such as the Birth to Twenty and Birth to Ten cohort studies that have rarely been used in the analysis of poverty dynamics. Using mixed methods, this thesis engages these data issues. The qualitative component of this thesis uses key informants from Statistics South Africa and explores how the organization has measured poverty over the years. A historical background on the context of statistical condu…
author: Mabhena, Rejoice
keywords: Sub-Saharan Africa, Poverty, Developing countries, National Income Dynamic Study, Child Social Grant, Labour market
license: https://uwcscholar.uwc.ac.za/bitstreams/d5177f13-3724-4ef2-af9c-7e9d8d071e17/download
date published: 2019
date modified: 2026-07-24T06:00:52Z
provider: University of the Western Cape
publisher: Networked Digital Library of Theses and Dissertations
type: WebPage
source organization: University of the Western Cape