Calculating Poverty Measures from the Generalized Beta Income Distribution
AbstractData 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.
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Bibliographic InfoPaper provided by The University of Melbourne in its series Department of Economics - Working Papers Series with number 1154.
Length: 32 pages
Date of creation: 2012
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Other versions of this item:
- Duangkamon Chotikapanich & William Griffiths & Wasana Karunarathne & D.S. Prasada Rao, 2013. "Calculating Poverty Measures from the Generalised Beta Income Distribution," The Economic Record, The Economic Society of Australia, vol. 89, pages 48-66, 06.
- I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty
- O15 - Economic Development, Technological Change, and Growth - - Economic Development - - - Economic Development: Human Resources; Human Development; Income Distribution; Migration
- C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
This paper has been announced in the following NEP Reports:
- NEP-ALL-2012-09-09 (All new papers)
- NEP-DEM-2012-09-09 (Demographic Economics)
- NEP-ECM-2012-09-09 (Econometrics)
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Duangkamon Chotikapanich & William E. Griffiths & D. S. Prasada Rao & Vicar Valencia, 2012. "Global Income Distributions and Inequality, 1993 and 2000: Incorporating Country-Level Inequality Modeled with Beta Distributions," The Review of Economics and Statistics, MIT Press, vol. 94(1), pages 52-73, February.
- Lars Osberg & Kuan Xu, 2007.
"How Should We Measure Poverty in a Changing World? Methodological Issues and Chinese Case Study,"
Department of Economics at Dalhousie University working papers archive
rderevision9, Dalhousie, Department of Economics.
- Lars Osberg & Kuan Xu, 2008. "How Should We Measure Poverty in a Changing World? Methodological Issues and Chinese Case Study," Review of Development Economics, Wiley Blackwell, vol. 12(2), pages 419-441, 05.
- Duangkamon Chotikapanich & William E. Griffiths & D.S. Prasada Rao, 2005.
"Estimating and Combining National Income Distributions using Limited Data,"
Department of Economics - Working Papers Series
926, The University of Melbourne.
- Chotikapanich, Duangkamon & Griffiths, William E. & Rao, D. S. Prasada, 2007. "Estimating and Combining National Income Distributions Using Limited Data," Journal of Business & Economic Statistics, American Statistical Association, vol. 25, pages 97-109, January.
- D.S. Prasada Rao & Duangkamon Chotikapanich & William E. Griffiths, 2004. "Estimating and Combining National Income Distributions using Limited Data," Econometric Society 2004 Australasian Meetings 213, Econometric Society.
- Ravallion, Martin & Chen, Shaohua & Sangraula, Prem, 2008.
"Dollar a day revisited,"
Policy Research Working Paper Series
4620, The World Bank.
- Madden, D., 1999.
"Relative or Absolute Poverty Lines: A New Approach,"
99/9, College Dublin, Department of Political Economy-.
- Madden, David, 2000. "Relative or Absolute Poverty Lines: A New Approach," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 46(2), pages 181-99, June.
- David Madden, 1999. "Relative or Absolute Poverty Lines - A New Approach," Working Papers 199909, School Of Economics, University College Dublin.
- Gholamreza Hajargsht, William E. Griffiths, Joseph Brice, D.S. Prasada Rao, Duangkamon Chotikapanich, 2012.
"Inference for Income Distributions Using Grouped Data,"
Department of Economics - Working Papers Series
1140, The University of Melbourne.
- Gholamreza Hajargasht & William E. Griffiths & Joseph Brice & D.S. Prasada Rao & Duangkamon Chotikapanich, 2012. "Inference for Income Distributions Using Grouped Data," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 30(4), pages 563-575, May.
- McDonald, James B, 1984. "Some Generalized Functions for the Size Distribution of Income," Econometrica, Econometric Society, vol. 52(3), pages 647-63, May.
- Michał Brzeziński, 2013.
"Parametric modelling of income distribution in Central and Eastern Europe,"
2013-31, Faculty of Economic Sciences, University of Warsaw.
- Michał Brzeziński, 2013. "Parametric Modelling of Income Distribution in Central and Eastern Europe," Central European Journal of Economic Modelling and Econometrics, CEJEME, vol. 5(3), pages 207-230, September.
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