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Characterizing weights in the measurement of multidimensional poverty : an application of data-driven approaches to Cameroonian data

Abstract:

The study seeks to compare multidimensional poverty indices in Cameroon generated by different multivariate techniques. After carefully exploring the theoretical and empirical review of the statistical methods of setting weights in the measurement of multidimensional poverty, the study employs three different statistical or data-driven methods - principal components analysis, multiple correspondence analysis, and fuzzy set approach to set weights in the aggregation procedure. Use is made o...

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Publication status:
Published
Peer review status:
Reviewed (other)

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Publisher:
Oxford Poverty & Human Development Initiative (OPHI) Publisher's website
Series:
OPHI working paper
Publication date:
2008-01-01
Paper number:
21
Language:
English
Keywords:
UUID:
uuid:8d71f02f-9698-4453-8ffb-0b40361ac2fd
Local pid:
ora:9411
Deposit date:
2014-11-27

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