Use of Multiple Logistic Regression to Estimate the Effect of Socio-Economic Factors on Household Income Sufficiency

Abstract

The main objective of this study is to find the main factors that affect household income sufficiency in Sudan, since there were many economic variants that happened during the past ten years representing in the secession of the south part of the country which leads the country to lose more than 70% of its oil production and seriously affect the level of the national income. The data are collected from south Darfur state in 2015 using cluster random sample techniques covering twenty one localities’. The problem of the study represented on how we can come out by the main factors that affected the sufficiency of household’s income in Sudan taking South Darfur state as a case of study during the period of time 2013 to 2016. To achieve the objective of the study, nine variables (Household size, household income level, household expenditure level, household head age, household head education level, household head gender, household head type of occupation, students at school, and student at the university) have been used in order to identify which of which has the most impact on the sufficiency of household income. The method of multiple logistic regression is used and the data are analyzed by the tool of statistical package (SPSS) after fulfillment of the requirements of the methodology in respect to the type of data. The results of the study indicated that there are five variables that have a significant impact on the dependent variable (household income sufficiency). These are; the educational level of the household head, the household size, the household level of expenditure, the level of monthly income and the number of students at the university level. A household to be within the less satisfy income group has a largest probability (>= 0.766) in comparing to be within the other groups (i.e. to some extent satisfy income group and the quite satisfy income group). The main recommendations of this study is to raise the level of education of the household’s heads to improve the economic situation for their families and encourage them to take care of their family size.