Counting and multidimensional poverty measurement

TLDR: The authors proposed a new methodology for multidimensional poverty measurement consisting of an identification method ρk that extends the traditional intersection and union approaches, and a class of poverty measures Mα.

About: This article is published in Journal of Public Economics.The article was published on 2011-08-01 and is currently open access. It has received 1677 citations till now. The article focuses on the topics: Multidimensional Poverty Index & Ordinal data.

Figures

Figure 1: M0 Dominance

Table 3: M0 values

Table 2: Contribution of Dimensions to Group M0

Table 1: Profile of US Poverty by Ethnic/Racial Group (k=2)

Table 4: Multidimensional Poverty Measures: Cardinal Variables

Frequently asked questions

Q1. What are the future works in this paper?

The authors hope that the methodology developed in this paper will be a useful touchstone for future research efforts. The authors gratefully acknowledge research assistance by Afsan Bhadelia and Suman Seth, and support from the International Development Research Council IDRC and the Canadian International Development Agency CIDA. 

Q2. What are the contributions in this paper?

This paper proposes a new methodology for multidimensional poverty measurement consisting of an identification method ρk that extends the traditional intersection and union approaches, and a class of poverty measures Mα. their identification step employs two forms of cutoff: one within each dimension to determine whether a person is deprived in that dimension, and a second across dimensions that identifies the poor by ‘ counting ’ the dimensions in which a person is deprived. The authors present some dominance results and an interpretation of the adjusted headcount ratio as a measure of unfreedom.