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Multidimensional Poverty and Material Deprivation with Discrete Data
Author(s) -
Bossert Walter,
Chakravarty Satya R.,
D'Ambrosio Conchita
Publication year - 2013
Publication title -
review of income and wealth
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.024
H-Index - 57
eISSN - 1475-4991
pISSN - 0034-6586
DOI - 10.1111/j.1475-4991.2012.00519.x
Subject(s) - poverty , index (typography) , measure (data warehouse) , econometrics , economics , european union , feature (linguistics) , domain (mathematical analysis) , measuring poverty , public economics , mathematics , computer science , economic growth , data mining , mathematical analysis , linguistics , philosophy , world wide web , economic policy
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.