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Household decisions and child health: Estimating the links between water treatment and the incidence of diarrhea using non-recursive two-equation causal models

机译:家庭决策和儿童健康:使用非递归双方程因果模型估计水处理与腹泻发生率之间的联系

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摘要

The treatment of drinking water is advocated to reduce the incidence of child diarrhea. However, evaluating the impact of water treatment with only observational data leads to biased estimates since it could be the occurrence of child diarrhea that induced the household to treat their drinking water. To deal with the possible simultaneity between the treatment of drinking water and the incidence of child diarrhea, we specify non-recursive two-equation causal models and apply it on a sub-sample of households with children below five years old from the Philippine National Demographic and Health Surveys. In the treatment effects model, we find that the treatment of drinking water reduces by 5.2 percentage points the proportion of under-5 children afflicted with diarrhea. In the instrumental-variable probit model, we find that households have a higher propensity to sterilize their drinking water by 1.2 percentage points given a one percentage point increase in the proportion of under-5 children with diarrhea. Ignoring the simultaneity yields the misleading result that water treatment increases the incidence child diarrhea. These results underscore the need to insure the quality of drinking water at the point of use and not just at the point of source.
机译:提倡饮用水治疗以减少儿童腹泻的发生。但是,仅靠观察性数据评估水处理的影响会导致估计值偏差,因为可能是儿童腹泻的发生促使家庭处理饮用水。为了处理饮用水处理与儿童腹泻发生之间可能同时发生的问题,我们指定了非递归两方程因果模型,并将其应用于菲律宾国家人口统计中五岁以下儿童家庭的子样本和健康调查。在治疗效果模型中,我们发现饮用水治疗使5岁以下腹泻儿童的比例降低了5.2个百分点。在工具变量概率模型中,我们发现,由于5岁以下腹泻儿童的比例增加了1个百分点,因此家庭对饮用水进行消毒的可能性更高,达到1.2个百分点。忽视同步性会产生误导性的结果,即水处理会增加儿童腹泻的发生率。这些结果强调了在使用时而不是在来源地确保饮用水质量的需要。

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