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Understandings and Misunderstandings of Multidimensional Poverty Measurement

TLDR
In this paper, the authors elucidate the strengths, limitations, and misunderstandings of multidimensional poverty measurement and provide an intuitive description of their measurement approach, including a "dual cutoff" identification step that views poverty as the state of being multiply deprived, and an aggregation step based on the traditional Foster Greer and Thorbecke (FGT) measures.
Abstract
Multidimensional measures provide an alternative lens through which poverty may be viewed and understood. In recent work we have attempted to offer a practical approach to identifying the poor and measuring aggregate poverty (Alkire and Foster 2011). As this is quite a departure from traditional unidimensional and multidimensional poverty measurement – particularly with respect to the identification step – further elaboration may be warranted. In this paper we elucidate the strengths, limitations, and misunderstandings of multidimensional poverty measurement in order to clarify the debate and catalyse further research. We begin with general definitions of unidimensional and multidimensional methodologies for measuring poverty. We provide an intuitive description of our measurement approach, including a ‘dual cutoff’ identification step that views poverty as the state of being multiply deprived, and an aggregation step based on the traditional Foster Greer and Thorbecke (FGT) measures. We briefly discuss five characteristics of our methodology that are easily overlooked or mistaken and conclude with some brief remarks on the way forward.

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References
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Journal ArticleDOI

Measuring multidimensional poverty: an empirical comparison of various approaches

TL;DR: In this article, a comparison of four approaches to multidimensional poverty analysis based respectively on the theory of fuzzy sets, information theory, efficiency analysis and axiomatic derivations of poverty indices is made.
BookDOI

Quantitative approaches to multidimensional poverty measurement

TL;DR: In this article, N.Kakwani and J.Silber proposed an information theory approach to multidimensional poverty measurement, using an Ordinal Approach to Multidimensional Poverty Analysis and an Axiomatic Approach to Multi-dimensional Poverty Measurement.
Journal ArticleDOI

Mashup Indices of Development

TL;DR: The parsimony of these indices is often appealing, collapsing multiple dimensions into just one, yielding seemingly unambiguous country rankings, and possibly reducing concerns about measurement errors in the component series as mentioned in this paper.
Book ChapterDOI

Multidimensional Poverty: Conceptual and Measurement Issues

TL;DR: Our understanding of the concept of poverty has improved and deepened considerably in the last three decades or so following Amartya Sen's seminal work as discussed by the authors. Yet, in spite of spectacular methodological advances in the analysis of poverty, a number of conceptual and measurement issues remains to be addressed or further clarified.
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