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Composite Indicator of Poverty

  • Louis-Marie Asselin
Part of the Economic Studies in Inequality, Social Exclusion and Well-Being book series (EIAP, volume 7)

Abstract

As stated in the introduction, our main objective is to operationalize multidimensional poverty comparisons. After some clarification on this objective and on a first methodological choice in Section 3.1, Section 3.2 presents a quick review of the main methodologies used to build a composite indicator of poverty (CIP). Our second methodological choice takes us to a short presentation of different variants of factorial approaches and to the argument supporting our third methodological choice, the multiple correspondence analysis (MCA) technique (Section 3.3). Finally, Section 3.4 develops the MCA technique and illustrates it with a numerical case study on Vietnam.

Keywords

Composite Indicator Primary Indicator Multiple Correspondence Analysis Multidimensional Poverty Poverty Index 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media, LLC 2009

Authors and Affiliations

  • Louis-Marie Asselin
    • 1
  1. 1.Institut de Mathématique GaussLévisCanada

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