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.
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© 2009 Springer Science+Business Media, LLC
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Asselin, LM. (2009). Composite Indicator of Poverty. In: Analysis of Multidimensional Poverty. Economic Studies in Inequality, Social Exclusion and Well-Being, vol 7. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-0843-8_3
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DOI: https://doi.org/10.1007/978-1-4419-0843-8_3
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4419-0905-3
Online ISBN: 978-1-4419-0843-8
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