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Do young children prohibit mothers from working in Ethiopia?

           Appendix A

           Model specification
           First, the structural form for the probit regression model (Y 1i) can be given as:
                                               Y    x   Y   U i          (1)
                                                          1
                                                             2i
                                                        1i
                                                1i
                                                    0
                                                                        th
                  where, Y is the probability of mother’s work participation for the i household (1=If she works, 0=Otherwise)
                          i 1
                    is parameter coefficient of the vector of an exogenous variable,  x
                                                                          i 1
                    1
                    is parameter coefficient of the vector of the number of children, Y  i 2
                   U is an error term assumed to be normally distributed with mean zero.
                    i
             However, the literature tells us that the number of children (Y 2i) is endogenous. That is,
                                                        Cov Y 2i ,  i                    (2)
                                                               0U
             If  the  equation  is  estimated  by  OLS,  the  estimate  will  be  biased. Therefore,  Y 2i  should  be  itself  predicted  first  in  a
           reduced form as a function of sibling sex composition, Z i, and other covariates.
                                                  Y    x   Z    e i            (3)
                                                     0
                                                           2
                                                         2i
                                                              i
                                                 3i
                  where, Y is the predicted number of children for the i household,
                                                              th

                          3i
                    is parameter coefficient of the vector of exogenous variables,  x , for the i  household,
                                                                                 th

                    2
                                                                         i 2
                    is parameter coefficient of the vector of the instrumental variable,  Z ,

                                                                           i
                   e is an error term associated to household i.

                    i
             The instrumental variable,  Z , is assumed to be uncorrelated with the error term, but partially correlated with the number
                                    i
           of children. That is,
                                                        
                                                                0U
                                                              Cov Z i ,  i                  (4) and,
                                                         Cov Z i  2i   0.               (5)
                                                        ,Y
           The instrument is also assumed to be uncorrelated with other exogenous covariates. That is,
                                                       
                                                          ,
                                                         Cov Z X 1i    0.              (6)
                                                         i
             Because U is unobservable,  Cov Z                     ,Y    which can be readily tested using the data.
                                         ,U is untestable, unlike  Cov Z
                      i                   i  i                       i  2i
             Once  the  number  of  children  is  exogenously  predicted  in  (3),  the  final  equation  which  estimates  the  mother’s  work
           participation can be specified by inserting the predicted number of children,  Y , in place of Y as:
                                                                          3i          2i
                                                    Y     x   Y   i      (7)
                                                                   
                                                             3
                                                       0
                                                          3i
                                                  1i
                                                                3i
                  where, Y is defined as in (1) above.
                         1i
                    is parameter coefficient of the vector of exogenous variables,  x
                    3
                                                                        3i
                    is parameter coefficient of the estimated number of children, Y

                                                                       3i
                    is an error term associated to household i.

                    i
           The estimated maternal work participation, Y ,  is now assumed to be unbiased.
                                                i 1




             International Journal of Population Studies | 2017, Volume 3, Issue 2                          41
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