Article (Scientific journals)
Multidimensional Poverty and Material Deprivation with Discrete Data
D'Ambrosio, Conchita; Bossert, Walter; Chakravarty, Satya
2013In Review of Income and Wealth, 59, p. 19-43
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Keywords :
Counting Approach; Material Deprivation; Multidimensional Poverty Measurement
Abstract :
[en] 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.
Disciplines :
Social economics
Author, co-author :
D'Ambrosio, Conchita ;  University of Luxembourg > Faculty of Language and Literature, Humanities, Arts and Education (FLSHASE) > Integrative Research Unit: Social and Individual Development (INSIDE)
Bossert, Walter;  Université de Montréal - UdeM
Chakravarty, Satya;  Indian Statistical Institute, Kolkata, India
External co-authors :
yes
Language :
English
Title :
Multidimensional Poverty and Material Deprivation with Discrete Data
Publication date :
2013
Journal title :
Review of Income and Wealth
ISSN :
1475-4991
Publisher :
Wiley-Blackwell
Volume :
59
Pages :
19-43
Peer reviewed :
Peer Reviewed verified by ORBi
Available on ORBilu :
since 10 December 2013

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