Analysing multidimensional poverty in Guinea: A fuzzy set approach

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.