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Mbu Daniel Tambi, Mah-Soh Glennice Fosah: Econometric Modelling of Women
                                 Empowerment and Agricultural Production in Cameroon

                    AP  i =  d  AP + WEm 1  i +  1
                             1

                    1
                    WE   i =  d  W E +m 2 AP  +  2
                              2
                    2
                    WE   i =  d   +m   2 ( d   + WEm 1   i +  ) +  2
                                                                1
                                            1 AP
                              2 WE
                    3

                    Whereby APί refers to Agricultural production as collected by the national institute of
                    statistics respectively; for the purpose of this study, WEί  is women empowerment as
                    captured by an indicator created using multiple correspondence analysis expressed in
                    percentage  changes,  showing  the  percentage  changes  in  yields  as  a  result  of  a
                    percentage change in  the  WE indicators, also  the variables impacting upon yields
                    might not only be caused by women empowerment factors, this could be explained by
                    changes in demand, consumption patterns and farmer behavior. From the equations
                    above α1; is a vector of exogenous variables that determine AP, while α2 is a vector of
                    exogenous variables that determine women empowerment and d, m are parameters to
                    be estimated, while µ1  and µ2  are error terms in the structural equation.

                    From equation (1) we observed that climate change is determined simultaneously with
                    AP.  Factors  such  as  farm  size,  agricultural  occupation,  household  size,  wind  and
                    location of household seem to be principal factors affecting climate change; hence we
                    observed that women empowerment can positively or negatively influence AP if these
                    factors  are  taken  care  of.  Women  empowerment  in  this  case  is  hypothesized  to
                    correlate with omitted inputs that enhance AP which means WEί is correlated with µ1
                    which leads to bias and inconsistency in OLS estimates and in the same way WEί is
                    correlated with µ2. Our interest here is to estimate equation (3), if the right-hand side
                    of equation (1) is plugged in for AP in equation (2) we obtain equation (3) of women
                    empowerment as shown above.

                    Considering equation (3), to solve for WEί, we assume that  m1 + m2    1 however,
                    irrespective of our assumption this is practically an empirical issue. This equation (3)
                    will result to equation (4) and (5) as:


                     1 ( − mm 2  1 )WE i =m 2  d   + d  +m 2  1   +  2
                                          1 AP
                                                  2 WE
                    (4)
                    WE   i =  X  AP +  X  W E +  3
                              1
                                        2
                    (5)




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