Multidimensional Poverty and Material Deprivation with Discrete Data

Walter Bossert, Satya Chakravarty and Conchita D’Ambrosio ()
Additional contact information
Conchita D’Ambrosio: Université du Luxembourg
Authors registered in the RePEc Author Service: Conchita D'Ambrosio

A chapter in Poverty, Social Exclusion and Stochastic Dominance, 2019, pp 191-209 from Springer

Abstract: 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.

Keywords: Counting approach; Material deprivation; Multidimensional poverty measurement; D63 (search for similar items in EconPapers)
Date: 2019
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
Journal Article: Multidimensional Poverty and Material Deprivation with Discrete Data (2013)
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:thechp:978-981-13-3432-0_12

Ordering information: This item can be ordered from
http://www.springer.com/9789811334320

DOI: 10.1007/978-981-13-3432-0_12

Access Statistics for this chapter

More chapters in Themes in Economics from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().