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Multidimensional Poverty and Material Deprivation with Discrete Data

In: Poverty, Social Exclusion and Stochastic Dominance

Author

Listed:
  • Walter Bossert

    (University of Montreal)

  • Satya R. Chakravarty

    (Indian Statistical Institute)

  • Conchita D’Ambrosio

    (Université du Luxembourg)

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.

Suggested Citation

  • Walter Bossert & Satya R. Chakravarty & Conchita D’Ambrosio, 2019. "Multidimensional Poverty and Material Deprivation with Discrete Data," Themes in Economics, in: Satya R. Chakravarty (ed.), Poverty, Social Exclusion and Stochastic Dominance, pages 191-209, Springer.
    • Handle: RePEc:spr:thechp:978-981-13-3432-0_12
    DOI: 10.1007/978-981-13-3432-0_12
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