International Journal of Statistics and Applied Mathematics

International Journal of Statistics and Applied Mathematics

2018, Vol. 3, Issue 6, Part B

Logistic regression approach for the determinants of acute poverty at household level in Tanzania


Author(s): Pius Fernandis Ambros and KK Saxena

Abstract: The main aim of this article is to establish poverty determinants i.e. the factors that increase the risk of poverty as well as to estimate the extent to which households are threatened by this phenomenon and to estimate and compare poverty spheres in a regional approach by means of the most important poverty indicators by using socioeconomic aspects of poverty with reference to Tanzania. This study used national panel survey data of 2014/15 of Tanzania to find the determinants of poverty. The households, who scored more than 33% of the deprivation score were categorized to be under acute poverty line. The socio-economic and demographic characteristics of the household head and household’s characteristics in general, were used as the predictor variables to associate them with the household poverty status which were either poor or non-poor. The logistic regression technique has been used to determine the likelihood of the household poverty as affected by socio-economic and demographic factors. The study found that the education level, marital status and employment status of the household’ head were significantly associated with poverty.

Pages: 131-142 | Views: 100 | Downloads: 14

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How to cite this article:
Pius Fernandis Ambros and KK Saxena. Logistic regression approach for the determinants of acute poverty at household level in Tanzania. 2018; 3(6): 131-142.
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