Page 51 - Azerbaijan State University of Economics

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

APW =  i  +  2 RV + i 2 (4)
i
2
i
*
Where CDD denotes actual child health and CDD represents desired child health,
i
i
note that CDD i = 1 if CDD *  0 and zero otherwise, and the error terms  and  i 2
i 2
follow a bivariate normal distribution with non-zero correlation.

4. DATA ANALYSIS
To estimate the result of this study, we will use the pool data of the third and fourth
Cameroon demographic and health survey collected in 2004 and 2011 respectively
after the 1991 and 1998 data. The 2011 DHS was aimed at a national representative
sample of about 11732 children while in 2004 there were 8,125 children of 0 - 59
months with women of reproductive age, alive and living within the selected zones
of sample as well as a sub sample of about 50 percent of households for the men.
The results of these surveys were presented for Cameroon, Yaoundé and Douala
(two great metropolitan cities), other towns, urban and rural zones and each of the
12 areas of study constituting the 10 regions plus Douala and Yaoundé. The
outcome variable of the study is child health capture by child death due to diarrhea
diseases; this variable is coded ‘h11’ for those children of age 0 to 59 months that
had diarrhea at the time of data collection (Tambi and Atemnkeng, 2017). The
nature of data is presented in table one of the summary statistics, while household
access to portable water is captured as: 1 equal to households using tap water for
consumption and 0 otherwise. Principally, annual rainfall variation in milliliters, for
2004/2011 precipitation for the different regions” was collected from the department
of statistics of ministry of transport and agriculture and then imported into the data
set. The potential instrument use to solve the endogeneity problem is annual rainfall
water collected by the household.

The covariates or exogenous demographics used in the study are: fertility rate,
literacy, prenatal care, birth interval, marital status of mother, age of child, sex of
child, place of residence, socioeconomic status and household size. These variables
are already explained in many studies on how they are captured in the DHS (see
Awiti, 2014). Oweing to Cheng et al (2012), in this study, under-five mortality/death
rate is defined as the probability of a child born in a specific year or period dying
before reaching the age of five year per 1000 live births, if subject to age-specific
mortality rates of that period. They also noted that the proportion of under-five
deaths due to diarrhea is estimated by the WHO based on the causes of death in
countries and recorded by the civil (vital) registration system. This variable is
already estimated in the Cameroon DHS.

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