Calculating Poverty Measures from the Generalized Beta Income Distribution

Duangkamon Chotikapanich, William Griffiths, Wasana Karunarathne, D.S. Prasada Rao
Authors registered in the RePEc Author Service: D.S. Prasada Rao (), William Edward Griffiths () and Duangkamon Chotikapanich

No 1154, Department of Economics - Working Papers Series from The University of Melbourne

Abstract: Data for measuring poverty and income inequality 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 measures can be applied directly to data in this limited form, these discrete measures typically ignore inequality within each group. This problem can be overcome by fitting a parametric income distribution to the grouped data and computing required quantities from the estimated parameters of this distribution. In this paper we show how to calculate several poverty measures from parameters of the generalized beta distribution of the second kind, and its popular special cases. An analysis of poverty changes in ten countries from South and Southeast Asia is used to illustrate the methodology.

JEL-codes: C13 I32 O15 (search for similar items in EconPapers)
Pages: 32 pages
Date: 2012
New Economics Papers: this item is included in nep-dem and nep-ecm
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Citations: View citations in EconPapers (3)

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Related works:
Journal Article: Calculating Poverty Measures from the Generalised Beta Income Distribution (2013)
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Persistent link: https://EconPapers.repec.org/RePEc:mlb:wpaper:1154

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