Calculating Poverty Measures from the Generalised Beta Income Distribution
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.
(This abstract was borrowed from another version of this item.)
If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
Volume (Year): 89 (2013)
Issue (Month): (06)
|Contact details of provider:|| Postal: |
Phone: 61 3 9497 4140
Fax: 61 3 9497 4140
Web page: http://www.blackwellpublishing.com/journal.asp?ref=0013-0249
More information through EDIRC
|Order Information:||Web: http://www.blackwellpublishing.com/subs.asp?ref=0013-0249|
References listed on IDEAS
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.:
- 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.
- 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.
- 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.
- 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.
- 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.
- David Madden, 1999.
"Relative or Absolute Poverty Lines - A New Approach,"
199909, School Of Economics, University College Dublin.
- 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.
- Madden, D., 1999. "Relative or Absolute Poverty Lines: A New Approach," Papers 99/9, College Dublin, Department of Political Economy-.
- Martin Ravallion & Shaohua Chen & Prem Sangraula, 2009.
"Dollar a Day Revisited,"
World Bank Economic Review,
World Bank Group, vol. 23(2), pages 163-184, June.
- 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.
- McDonald, James B, 1984. "Some Generalized Functions for the Size Distribution of Income," Econometrica, Econometric Society, vol. 52(3), pages 647-63, May.
When requesting a correction, please mention this item's handle: RePEc:bla:ecorec:v:89:y:2013:i::p:48-66. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Wiley-Blackwell Digital Licensing)or (Christopher F. Baum)
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.