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Cited by 182

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Multidimensional Poverty and Material Deprivation with Discrete Data

Open access
Bossert, Walter, Chakravarty, Satya R., D'Ambrosio, Conchita·2013·Review of Income and Wealth

Abstract

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.

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Metadata

Authors
Bossert, W., Chakravarty, S. R., & D'Ambrosio, C.
Venue
Review of Income and Wealth
Publisher
Wiley
Published
2012-09-28
Volume
59
Issue
1
Pages
29-43
ISSN
  • 0034-6586 (ISSN-L)
  • 1475-4991
OpenAlex
W2122339381
Cited by
182
References
1
FWCI
42.29
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Multidimensional Poverty and Material Deprivation with Discrete Data. https://app.cochat.ai/papers/10.1111/j.1475-4991.2012.00519.x
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Bossert, W., Chakravarty, S. R., & D'Ambrosio, C. (2013). Multidimensional Poverty and Material Deprivation with Discrete Data. Review of Income and Wealth. https://doi.org/10.1111/j.1475-4991.2012.00519.x

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.