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Mbu Daniel Tambi , Peter Arung Etat: Implications of Access to Portable Water
                                                                                             For Child Health Production in Cameroon

                    In rural Cameroon, parents always do their best to give their  sick child protected
                    water; however with regards to children in good health, they don’t care much on the
                    source of water. Thus, if household access to portable water has a positive impact on
                    child health, then we would expect the Probit estimate of  to be biased upward.
                                                                             1

                    As observed with the case of rural Cameroon, the prime difficulty of the two-way
                    causality that comes in the effect on household access to portable water and child
                    health may cause the classical endogeneity problem. To avoid the strong likelihood
                    of this endogeneity bias, confounded by the problem of variables that is missing in
                    empirical data, we use a two stage least squares (2SLS) estimation approach. Thus,
                    the first-stage equation in this approach is:

                    APW  +=    i 1    RV +     i 1                                                (2)
                                 
                            i
                                        1
                                             i

                    Whereby  RV is  simply  rainfall  variation  (use  as  an  instrument  to  solve  for  the
                                  i
                    endogeneity problem);  it  should be noted that the 2SLS model  captures  the  causal
                    effect of household access to portable water for those households whose children’s
                    health is affected  by rainfall  variation.  Importantly, though  APW is ordinal, 2SLS
                                                                                     i
                    estimates of can be interpreted as estimating the average marginal effect of a unit
                                 1
                    increase in  APW for children whose health is affected by the variation in rainfall.
                                     i
                    Before  presenting  the  2SLS  estimates,  we  present  a  reduced  form  analysis  of
                    household access to portable water; here we would expect to observe mothers with
                    death children or children suffering from diarrhea diseases to be affected by variation
                    in  rainfall.  The  reason  is  because  children  suffering  from  diarrhea  diseases  are
                    negatively affected by poor household access to portable water. The 2SLS estimation
                    allows us to scale the probit marginal effects into the effects on an increase in our
                    ordinal household access to portable water measure (Wooldridge, 1997).

                    As indicated earlier, we use variation in rainfall as an instrument to overcome this
                    endogeneity problem between household access to portable water and child health
                    outcomes which cannot be adequately controlled for by observable characteristics.
                    Assuming that  variation in  rainfall  is  a valid instrument, we will use the ivprobit
                    model (probit model controlling for endogeneity) which better respects the binary
                    nature of child health (child death attributed to diarrhea diseases) as represented by
                    the following two equations:

                    CDD =           +     APW +
                             *
                                   2   i    2         i      i 2                                   (3)


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