Multidimensional Poverty and Material Deprivation with Discrete Data

By Walter Bossert, Satya R. Chakravarty, Conchita D'Ambrosio. Poverty, Social Exclusion and Stochastic Dominance, 2013

128 citations recorded by the source corpus.

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.

Subfields: Management, Monitoring, Policy and Law, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/cd07bbb608ff271b3d1083ad9b1dfe3226959e33

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In Management, Monitoring, Policy and Law

  1. Yang Zhou
  2. Yan-sui Liu

In Sociology and Political Science

  1. Yan-sui Liu
  2. Yang Zhou
  3. Yuanzhi Guo
  4. Yurui Li
  5. Wenxiang Wu
  6. Jilai Liu
  7. Hein de Haas

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