Calculating poverty measures from the generalised beta income distribution

Chotikapanich, Duangkamon, Griffiths, William, Karunarathne, Wasana and Rao, D. S. Prasada (2013) Calculating poverty measures from the generalised beta income distribution. Economic Record, 89 Supplement S1: 48-66. doi:10.1111/1475-4932.12031


Author Chotikapanich, Duangkamon
Griffiths, William
Karunarathne, Wasana
Rao, D. S. Prasada
Title Calculating poverty measures from the generalised beta income distribution
Journal name Economic Record   Check publisher's open access policy
ISSN 0013-0249
1475-4932
Publication date 2013-06-01
Year available 2013
Sub-type Article (original research)
DOI 10.1111/1475-4932.12031
Volume 89
Issue Supplement S1
Start page 48
End page 66
Total pages 19
Place of publication Richmond, VIC, Australia
Publisher Wiley-Blackwell
Collection year 2014
Language eng
Abstract Data for measuring poverty are frequently available in a summary form that describes the proportion of income or expenditure for each of a number of population proportions. While various discrete poverty measures can be applied directly to data in this limited form, they typically require an arbitrary approach to within-group interpolation. This problem can be overcome by fitting either a parametric income distribution or a Lorenz curve to the grouped data and computing the required quantities from estimated parameters. The Lorenz curve approach is widely used by the World Bank, but can encounter problems. As an alternative, in this article we show how to calculate several poverty measures from parameters of the generalized beta income distribution, and its popular special cases. An analysis of poverty changes in countries from South and Southeast Asia is used to illustrate the methodology.
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Official 2014 Collection
School of Economics Publications
 
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