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THE JOURNAL OF ECONOMIC SCIENCES: THEORY AND PRACTICE, V.78, # 2, 2021, pp. 43-62



                    Considering therefore, the IVPROBIT result, we observed that a marginal change in
                    drinking water supply will result to a corresponding increase in child health of 1.5
                    percent due to decrease in the number of diarrhea cases among children. This result
                    reveals that the source of drinking water supply is a strong determinant of child health
                    of age 0 to 59 months; this is consistent with the result obtained by the World Health
                    Organization.

                    They reported that almost one tenth of the global disease burden could be prevented
                    by  improving  water  supply  and  management  of  water  resources  while  in  another
                    report  they  noted  that  4  percent  of  all  deaths  and  5.7  percent  of  total  disability-
                    adjusted life years can be attributed to water (Prudd-Ustun, 2008).

                    As seen above, Cheng et al (2012) added that, worldwide 1.4 million children die
                    each year from preventable diarrhea diseases and some 88 percent of diarrhea cases
                    are related to unsafe water. The other factors positively associated with child health
                    include:  household  size,  urban  household  residence,  while  factors  negatively
                    associated with child health include; mothers currently employed in the job market,
                    breast  feeding  children,  fertility  rate,  mother  attended  prenatal  services  while
                    pregnant,  literacy  rate,  child  age  in  years,  household  size  square  and  non  -poor
                    parent. Our result reveals that the instrument used is strong and relevance and so
                    valid, following the weak identification test: Cragg-Donald F-Stat [5% maximal IV
                    relative bias] 416.961 [16.38] and the Sargan statistic (overidentification test of all
                    instruments): (Chi-sq(2) P-val): 0.000 [0.000], further, the Durbin-Wu-Hausman test
                    for  exogeneity  of  variables  in  7.455[0.0003]  and  wald  test  of  exogeneity
                    4.57[0.0002]  reveals  that  the  problem  of  endogeneity  is  solve.  The  use  of
                    instrumental  variable  in  our  study  has  greatly  reduced  the  effect  of  any  bias  that
                    could have existed in our regression and so rendering our result robust.

                    5.3 Effect of access to portable water on child health by age distribution
                    Table 3 presents the result of household water source effects by child age in years
                    according  to  the  IVPROBIT  model  as  seen  from  above.  We  observed  that  water
                    supply does not affect children of  1  year except otherwise. Knowledge of absolute
                    breast feeding is widely vulgarized in Cameroon especially for the first six months
                    of delivery. This means that in the first months of child delivery, mothers absolutely
                    gives their children only breast mild they don’t have any contact with water apart
                    from bathing and watching the baby. In most cases the water used to bath the baby is
                    not only boiled but heavily treated to avoid any form of infection.





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