POST‐TRANSITION POVERTY TRENDS BASED ON AN ALTERNATIVE DATA SOURCE1
Servaas van der Berg (),
Megan Louw () and
Derek Yu
South African Journal of Economics, 2008, vol. 76, issue 1, 58-76
Abstract:
This paper analyses a previously unused source of data – the All Media and Product Survey (AMPS) – to arrive at alternative estimates of the post‐transition poverty path. The motivations for using this non‐official data source are twofold: concern over the comparability of the existing official post‐transition datasets – the Income and Expenditure Survey (IES) and Population Census – and a desire to extend analysis of poverty trends beyond 2001. While official data sources are generally preferred for purposes of poverty analysis, the IES and Census collect data at long (5 or 10 year) intervals, and additional years pass before these datasets become available to the public. In some cases there is also concern about data comparability between surveys. The expenditure data contained in the General Household Survey are available annually, although data are captured in a small number of categories that are not very conducive to analysis at the lower end of the income distribution. Analysis on AMPS data confirms the large decline in poverty implied by an increase of R18 billion (in 2000 Rand) in social grant payments between 2000 and 2004. The direction of this trend is consistent with recent research findings based on more frequently analysed data sources, including the work done by Agüero, Carter and May (2005), Seekings (2006) and Meth (2006).
Date: 2008
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (25)
Downloads: (external link)
https://doi.org/10.1111/j.1813-6982.2008.00161.x
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:bla:sajeco:v:76:y:2008:i:1:p:58-76
Ordering information: This journal article can be ordered from
http://www.blackwell ... bs.asp?ref=0038-2280
Access Statistics for this article
South African Journal of Economics is currently edited by Philip A. Black
More articles in South African Journal of Economics from Economic Society of South Africa Contact information at EDIRC.
Bibliographic data for series maintained by Wiley Content Delivery ().