New weighting scheme for the dimensions in multidimensional poverty indices
By now, there is a wide range of methods to construct multidimensional well-being indices, differing in the way they transform, aggregate and weight the relevant dimensions. This paper uses a fuzzy theory approach to propose a new weighting scheme for the dimensions. These weights play a crucial role in determining the trade-offs between the dimensions.
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.
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.:
- Hans de Kruijk & Martine Rutten, 2007. "WEIGHTING DIMENSIONS OF POVERTY BASED ON PEOPLES PRIORITIES: Constructing a Composite Poverty Index for the Maldives," IIDE Discussion Papers 20070801, Institue for International and Development Economics.
- Michela Nardo & Michaela Saisana & Andrea Saltelli & Stefano Tarantola & Anders Hoffman & Enrico Giovannini, 2005. "Handbook on Constructing Composite Indicators: Methodology and User Guide," OECD Statistics Working Papers 2005/3, OECD Publishing.
- Desai, Meghnad & Shah, Anup, 1988. "An Econometric Approach to the Measurement of Poverty," Oxford Economic Papers, Oxford University Press, vol. 40(3), pages 505-522, September.
- Jaya Krishnakumar & A. Nagar, 2008. "On Exact Statistical Properties of Multidimensional Indices Based on Principal Components, Factor Analysis, MIMIC and Structural Equation Models," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 86(3), pages 481-496, May.
- Besma Belhadj, 2011. "A new fuzzy unidimensional poverty index from an information theory perspective," Empirical Economics, Springer, vol. 40(3), pages 687-704, May.
- Klasen, Stephan, 2000. "Measuring Poverty and Deprivation in South Africa," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 46(1), pages 33-58, March.
- Hirschberg, Joseph G. & Maasoumi, Esfandiar & Slottje, Daniel J., 1991. "Cluster analysis for measuring welfare and quality of life across countries," Journal of Econometrics, Elsevier, vol. 50(1-2), pages 131-150, October.
- Susan E. Mayer & Christopher Jencks, 1989. "Poverty and the Distribution of Material Hardship," Journal of Human Resources, University of Wisconsin Press, vol. 24(1), pages 88-114.
- Filippone, Andrea & Cheli, Bruno & D'Agostino, Antonella, 2001. "Addressing the interpretation and the aggregation problems in totally fuzzy and relative poverty measures," ISER Working Paper Series 2001-22, Institute for Social and Economic Research.
- Osberg, Lars & Sharpe, Andrew, 2002. "An Index of Economic Well-Being for Selected OECD Countries," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 48(3), pages 291-316, September.
- Sen, Amartya, 1997. "On Economic Inequality," OUP Catalogue, Oxford University Press, number 9780198292975, April.
- Erik Schokkaert, 2007. "Capabilities and Satisfaction with Life," Journal of Human Development and Capabilities, Taylor & Francis Journals, vol. 8(3), pages 415-430.
- Shyamal Chowdhury & Lyn Squire, 2006. "Setting weights for aggregate indices: An application to the commitment to development index and human development index," Journal of Development Studies, Taylor & Francis Journals, vol. 42(5), pages 761-771.