Statistical issues in multidimensional poverty measurement: redundancy analysis

Paola Ballon

Chapter 43 in Research Handbook on Measuring Poverty and Deprivation, 2023, pp 463-474 from Edward Elgar Publishing

Abstract: This chapter presents metrics of association and similarity to assess statistical redundancy for a pair of indicators of deprivation in multidimensional poverty measurement. We compare the performance of these metrics using numerical simulations and propose a bound approach for assessing redundancy which consists in combining similarity and association metrics. We argue that the study of redundancy should adopt such a combination with a focus on the range of the metrics: upper and lower bounds. We illustrate the empirical use of these bounds using the 2018 multidimensional poverty index of Peru.

Keywords: Development Studies; Economics and Finance; Geography; Research Methods; Sociology and Social Policy (search for similar items in EconPapers)
Date: 2023
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