Jassim Nassir Hussain, Sora Amer Mahmoud Al-fatlawi

Abstract

The family income was defined as the collection of the family members income. Therefore, when we analysis the family income data we find these data are ordinal type. Thus, the ordinal logistic model was used, which is defined as a regression analysis when the dependent variable is qualitative. It is a predicting analysis used to describe the relationship between a dependent variable and one or more of independent qualitative or quantitative variables.
Adjacent Categories Logit Model is used, which is one of the ordinal logistic regression models to analysis the data when the dependent variable is ordinal. We apply this model to analysis the family income data which are collected by using a questionnaire and use STATA.14.2 software to get the results.
The results show that the variables (number of the employee member in the family, type of the householder employment, ownership of the house, costs of the entertainment that the family spend in month), are the main factors affect the family income (y).