Page 205 - Contributed Paper Session (CPS) - Volume 3
P. 205

CPS1996 Ali Hebishi Kamel A. et al.
              Edust      Indicator variable of education for Logistic  Completed secondary=1
                         Regression                         Under secondary=0
                             Table (1) Variables which used in the study

            3.1 Relationship  between  household  income  and  education  level  of
                household head
                A simple regression model used to reflect the relationship between income
            and  education;  it  was  positive  which  means  when  the  education  level  of
            household  head  move  from  one  category  to  the  next  (from  uncompleted
            secondary  education  to  completed  secondary  education)  then  household
            income increases. The same result appears when multiple regression used by
            adding other variables.

            Multiple Regression Model
                           Y = B + B X + B X +. . . . . . . . . . . . . . . +B X + e
                                 0
                                                                 k k
                                      1 1
                                             2 2

            Log (Income) = 9.9337475 + 0.1380670*hh_edu_lev + 0.0465058 HH _SIZE +
            0.0004238*HH_age      +    0.1004928*Urbrur     +    0.1017351*HH_sex     -
            0.4097318*HH_Disable         +      0.0131579*hh_edu_lev1:HH_age          +
            0.0006373*H_SIZE:HH_age        +      0.0755987*hh_edu_lev1:Urbrur1       +
            0.0034694*HH_age:HH_sex1 + 0.0559655*HH_SIZE:HH_Disable1.

                All  independent  variables  in  income  model  are  statistically  significant
            relationship with dependent variable log (income) expect age of HH and all
            interaction between independent variables are statistically significant.
            - B  represents the difference in the predicted value of log income of HH for
               i
            each  one-unit  difference  in X ,  if  the  rest  of  independent  variables  remain
                                          i
            constant.
            - B  = 0.138067 represents the increase in log income value When education
               1
            level of HH changes from uncompleted secondary to completed secondary, if
            the rest of independent variables are constant, the same positive relation of
            simple regression. And it reflects the most effective variable on income in this
            model that reflect the strong relationship between income and education.

            3.2  Relationship  between  individuals’  education  level  and  household
            income
                How  does  income  of  household  influence  on  completed  education  of
            individual?
            An indicator variable created “Educst” to express education level of individuals
            because secondary education in Egypt is considered to be the good or enough
            level required to have a good quality education where value 1 indicate that



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