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Analysing multidimensional poverty in Guinea: A fuzzy set approach

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  • Diallo, Fatoumata Lamarana

    (CRES/Cheikh Anta Diop University of Dakar (UCAD), Senegal)

Abstract

This paper aims at studying 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, ii) the identification of deprivation state according to selected attributes for different groups like natural regions, administrative regions, area of residence, genre, religion and household's size. The effect of attributes on the deprivation of each group and the global poverty index has been also tested.

Suggested Citation

  • Diallo, Fatoumata Lamarana, 2010. "Analysing multidimensional poverty in Guinea: A fuzzy set approach," MERIT Working Papers 2010-041, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    • Handle: RePEc:unm:unumer:2010041
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    References listed on IDEAS

    as
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    6. COSTA Michele, 2002. "A multidimensional approach to the measurement of poverty," IRISS Working Paper Series 2002-05, IRISS at CEPS/INSTEAD.
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    More about this item

    Keywords

    Fuzzy Set; Decompositions; Multidimensional Poverty;
    All these keywords.

    JEL classification:

    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty

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