Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/1594
Title: Modeling poverty status of Ghanaians: A logistics regression approach
Authors: Seidu, Omar
Issue Date: Jul-2009
Publisher: University of Cape Coast
Abstract: he poor are not evenly distributed within the country and they do not share the same socio-economic and demographic characteristics. It is against this background that analysis of the characteristics that differentiate the poor from the non-poor in Ghana cannot be underestimated. Poverty indicators make it possible to analyze the likely determinants and are, therefore, essential for formulating policy interventions that may contribute directly or indirectly to its alleviation. This study therefore aims at determining the most important characteristics that differentiate poor households from non-poor households in Ghana. To achieve this objective, data was obtained from the Ghana Statistical Service. It consists of 49,005 households surveyed in the country of which 17.2 percent were classified as being poor (extremely poor). The analysis of the data relied mainly on logistic regression. It was found that the region a household resides in, the number of persons in that household, access to improved sources of water and sanitation, are the most important characteristics. These and other interesting results are discussed.
Description: v, 89p. :ill
URI: http://hdl.handle.net/123456789/1594
ISSN: 23105496
Appears in Collections:Department of Mathematics & Statistics

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