International Journal of Statistics and Applied Mathematics

International Journal of Statistics and Applied Mathematics

2019, Vol. 4, Issue 3, Part A

An analysis of socio-economic and demographic factors affecting household main source of income in Somalia using binary logistic regression approach


Author(s): Mohamed Hussein Abdullahi

Abstract: This study applied the Binary Logistic Regression model to investigate socio economic and demographic factors affecting household main source of income. The main objective of this study is to determine the socio-economic and demographic factors that affect household main source of income in Somalia. This study used secondary data of cross sectional data targeting households from household survey in 2016.
The results of the four independent variables in the study which are household head education, household head sex, household residential area and age of household head show that the residence area of households is the most important factor which determines the household main source of income.
The sex of the household head is revealed to be the second most important variable among the variables that have an effect on household main source of income. It has been found that the male headed households are more likely to have a salaried labour source of income than female headed households.
The results show that the opportunity of getting a salaried labour source of income is not the same for both the educated and the non-educated household heads. The results, also suggest that the age of household head has a negative relationship with the salaried labour source of income. It is found that an increase of one year of the age of the household head will decrease the opportunity of the household of getting a salaried labour source of income.


Pages: 23-31 | Views: 71 | Downloads: 22

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How to cite this article:
Mohamed Hussein Abdullahi. An analysis of socio-economic and demographic factors affecting household main source of income in Somalia using binary logistic regression approach. 2019; 4(3): 23-31.
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