Robust Multidimensional Spatial Poverty Comparisons in Ghana, Madagascar, and Uganda
Spatial poverty comparisons are investigated in three African countries using multidimensional indicators of well-being. The work is analogous to the univariate stochastic dominance literature in that it seeks poverty orderings that are robust to the choice of multidimensional poverty lines and indices. In addition, the study seeks to ensure that the comparisons are robust to aggregation procedures for multiple welfare variables. In contrast to earlier work, the methodology applies equally well to what can be defined as "union," "intersection," and "intermediate" approaches to dealing with multidimensional indicators of well-being. Furthermore, unlike much of the stochastic dominance literature, this work computes the sampling distributions of the poverty estimators to perform statistical tests of the difference in poverty measures. The methods are applied to two measures of well-being, the log of household expenditures per capita and children's height-for-age z scores, using data from the 1988 Ghana Living Standards Study survey, the 1993 National Household Survey in Madagascar, and the 1999 National Household Survey in Uganda. Bivariate poverty comparisons are at odds with univariate comparisons in several interesting ways. Most important, it cannot always be concluded that poverty is lower in urban areas in one region compared with that in rural areas in another, even though univariate comparisons based on household expenditures per capita almost always lead to that conclusion. Copyright 2006, Oxford University Press.
To our knowledge, this item is not available for
download. To find whether it is available, there are three
1. Check below under "Related research" whether another version of this item is available online.
2. Check on the provider's web page whether it is in fact available.
3. Perform a search for a similarly titled item that would be available.
Volume (Year): 20 (2006)
Issue (Month): 1 ()
|Contact details of provider:|| Postal: |
Phone: (202) 477-1234
Fax: 01865 267 985
Web page: http://wber.oxfordjournals.org/
More information through EDIRC
|Order Information:||Web: http://www.oup.co.uk/journals|
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.:
- Ravallion, Martin & Bidani, Benu, 1993.
"How robust is a poverty profile?,"
Policy Research Working Paper Series
1223, The World Bank.
- Atkinson, A B, 1987. "On the Measurement of Poverty," Econometrica, Econometric Society, vol. 55(4), pages 749-64, July.
- Davidson, R. & Duclos, J.-Y., 1998.
"Statistical Inference for Stochastic Dominance and for the Measurement of Poverty and Inequality,"
98a14, Universite Aix-Marseille III.
- Russell Davidson & Jean-Yves Duclos, 2000. "Statistical Inference for Stochastic Dominance and for the Measurement of Poverty and Inequality," Econometrica, Econometric Society, vol. 68(6), pages 1435-1464, November.
- Davidson, Russell & Duclos, Jean-Yves, 1998. "Statistical Inference for Stochastic Dominance and for the Measurement of Poverty and Inequality," Cahiers de recherche 9805, Université Laval - Département d'économique.
- Foster, James & Greer, Joel & Thorbecke, Erik, 1984. "A Class of Decomposable Poverty Measures," Econometrica, Econometric Society, vol. 52(3), pages 761-66, May.
- Shorrocks, Anthony F & Foster, James E, 1987. "Transfer Sensitive Inequality Measures," Review of Economic Studies, Wiley Blackwell, vol. 54(3), pages 485-97, July.
- Kai-yuen Tsui, 2002. "Multidimensional poverty indices," Social Choice and Welfare, Springer, vol. 19(1), pages 69-93.
- Pradhan, Menno & Sahn, David E. & Younger, Stephen D., 2003.
"Decomposing world health inequality,"
Journal of Health Economics,
Elsevier, vol. 22(2), pages 271-293, March.
- Jean-Yves Duclos & David E. Sahn & Stephen D. Younger, 2006.
"Robust Multidimensional Poverty Comparisons,"
Royal Economic Society, vol. 116(514), pages 943-968, October.
- Jean-Yves Duclos & Paul Makdissi, 2005.
"Sequential Stochastic Dominance And The Robustness Of Poverty Orderings,"
Review of Income and Wealth,
International Association for Research in Income and Wealth, vol. 51(1), pages 63-87, 03.
- Duclos, Jean-Yves & Makdissi, Paul, 1999. "Sequential Stochastic Dominance and the Robustness of Poverty Orderings," Cahiers de recherche 9905, Université Laval - Département d'économique.
- Duclos, J. & Makdissi, P., 1999. "Sequential Stochastic Dominance and the Robustness of Poverty Orderings," Papers 99/6, New South Wales - School of Economics.
- Foster, James E. & Shorrocks, Anthony F., 1988. "Inequality and poverty orderings," European Economic Review, Elsevier, vol. 32(2-3), pages 654-661, March.
- Ian Crawford, 1999. "Nonparametric tests of stochastic dominance in bivariate distributions, with an application to UK data," IFS Working Papers W99/28, Institute for Fiscal Studies.
- Foster, James E & Shorrocks, Anthony F, 1988. "Poverty Orderings," Econometrica, Econometric Society, vol. 56(1), pages 173-77, January.
- A. Atkinson, 2003. "Multidimensional Deprivation: Contrasting Social Welfare and Counting Approaches," Journal of Economic Inequality, Springer, vol. 1(1), pages 51-65, April.
- Atkinson, Anthony B & Bourguignon, Francois, 1982. "The Comparison of Multi-Dimensioned Distributions of Economic Status," Review of Economic Studies, Wiley Blackwell, vol. 49(2), pages 183-201, April.
- Zheng, Buhong, 2000. " Poverty Orderings," Journal of Economic Surveys, Wiley Blackwell, vol. 14(4), pages 427-66, September.
When requesting a correction, please mention this item's handle: RePEc:oup:wbecrv:v:20:y:2006:i:1:p:91-113. 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: (Oxford University Press)or (Christopher F. Baum)
If references are entirely missing, you can add them using this form.