Note: We thank two referees for useful suggestions as well as the Fondazione Debenedetti for providing access to the dataset. Financial support from the Social Sciences and Humanities Research Council of Canada is gratefully acknowledged.
1475-4991/asset/ROIW_left.gif?v=1&s=1ba6283888a5347c6c3159320b8554ace2bf81b2)
Original Article
You have free access to this content
Multidimensional Poverty and Material Deprivation with Discrete Data
Article first published online: 28 SEP 2012
DOI: 10.1111/j.1475-4991.2012.00519.x
© 2012 The Authors. Review of Income and Wealth © International Association for Research in Income and Wealth 2012
Additional Information
How to Cite
Bossert, W., Chakravarty, S. R. and D'Ambrosio, C. (2013), Multidimensional Poverty and Material Deprivation with Discrete Data. Review of Income and Wealth, 59: 29–43. doi: 10.1111/j.1475-4991.2012.00519.x
Publication History
- Issue published online: 3 FEB 2013
- Article first published online: 28 SEP 2012
Funded by
- Social Sciences and Humanities Research Council of Canada
- Abstract
- Article
- References
- Cited By
Keywords:
- D63
- counting approach;
- material deprivation;
- multidimensional poverty measurement
We propose a characterization of a popular index of multidimensional poverty which, as a special case, generates a measure of material deprivation. This index is the weighted sum of the functioning failures. The important feature of the variables that may be relevant for poverty assessments is that they are discrete in nature. Thus, poverty measures based on continuous variables are not suitable in this setting and the assumption of a discrete domain is mandatory. We apply the measure to European Union member states where the concept of material deprivation was initiated and illustrate how its recommendations differ from those obtained from poverty measures based exclusively on income considerations.