Indicators and Multidimensionality Analysis

Louis-Marie Asselin ()
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Louis-Marie Asselin: Institut de Mathématique Gauss

Chapter Chapter 2 in Analysis of Multidimensional Poverty, 2009, pp 7-18 from Springer

Abstract: Abstract Upstream from technical measurement issues, the selection of indicators constitutes an important conceptual step. Multidimensional poverty analysis cannot just stay at a formal level and escape the necessity to look deeply inside poverty vectors appearing here and there in the universal effort to capture the multiple facets of poverty.

Keywords: Millennium Development Goal; Multidimensional Poverty; Multidimensionality Analysis; Multiple Indicator Cluster Survey; Female Genital Cutting (search for similar items in EconPapers)
Date: 2009
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Persistent link: https://EconPapers.repec.org/RePEc:spr:esichp:978-1-4419-0843-8_2

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DOI: 10.1007/978-1-4419-0843-8_2

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