On the robustness of multidimensional counting poverty orderings

Gallegos, José, Yalonetzky, Gaston and Azpitarte, Francisco (2017). On the robustness of multidimensional counting poverty orderings. LCC Working Paper Series 2017-15, Institute for Social Science Research, The University of Queensland.

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Author Gallegos, José
Yalonetzky, Gaston
Azpitarte, Francisco
Title On the robustness of multidimensional counting poverty orderings
School, Department or Centre Institute for Social Science Research
Institution The University of Queensland
Series LCC Working Paper Series
Report Number 2017-15
Publication date 2017-09-14
Total pages 31
Abstract/Summary Counting poverty measures have gained prominence in the analysis of multidimensional poverty in recent decades. However, poverty orderings based on these measures typically depend on methodological choices regarding poverty indices, poverty cut-offs, and dimensional weights whose impact on poverty rankings is often not well understood. In this paper we propose new dominance conditions that allow the analyst to evaluate the robustness of poverty comparisons to those choices. These conditions provide an approach to the evaluation of the sensitivity of poverty orderings superior to the common approach of considering a restricted and arbitrary set of indices, cut-offs, and weights. The new criteria apply to a broad class of counting poverty measures widely used in empirical analysis including the class of measures proposed by Alkire and Foster (2011), the class proposed by Chakravarty and D’Ambrosio (2006), and combinations thereof. We illustrate these methods with an application to multidimensional poverty in Australia in the 2000s.
Keyword Multidimensional poverty
Counting measures
Dominance conditions
Q-Index Status Provisional Code
Institutional Status Non-UQ

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Created: Thu, 14 Sep 2017, 10:28:41 EST by Ella Kuskoff on behalf of Institute for Social Science Research