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Analysing Multidimensional Poverty in Guinea: A Fuzzy Set Approach

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  • Fatoumata Lamarana Diallo

    (Cheikh Anta Diop University of Dakar, Senegal)

Abstract

This study examines the multidimensional aspect of poverty in Guinea, taking into account both the monetary and non-monetary dimensions of poverty. We use data from the Full Base Survey on Poverty Assessment (FBSPA, 2002-2003). The methodology relies on the fuzzy set approach of Dagum and Costa (2004), which is supplemented by the decomposition methods of Mussard and Pi Alperin (2005). The main results that emerge are: i) the identification of the key variables associated with poverty; and ii) the identification of deprivation state according to selected attributes for different groups such as natural regions, administrative regions, area of residence, gender, religion and household size. The effect of attributes on the deprivation of each group and the global poverty index has also been tested.

Suggested Citation

  • Fatoumata Lamarana Diallo, 2012. "Analysing Multidimensional Poverty in Guinea: A Fuzzy Set Approach," Working Papers 251, African Economic Research Consortium, Research Department.
    • Handle: RePEc:aer:wpaper:251
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    File URL: ftp://41.215.20.26/RePEc/aer/wpaper/RP251.pdf
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    Cited by:

    1. Leu, Chao-Hsien & Chen, Ke-Mei & Chen, Hsiu-Hui, 2016. "A multidimensional approach to child poverty in Taiwan," Children and Youth Services Review, Elsevier, vol. 66(C), pages 35-44.

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