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.