Child Health, Breast-Feeding, and Survival in Malaysia: A Random-Effects Logit Approach
该研究使用随机效应Logit模型，在控制出生健康选择偏差后，评估母乳喂养对马来西亚儿童生存的影响，发现母乳喂养的直接保护作用依然显著。
Abstract Evidence from clinical studies suggests that children who are healthier at birth are more likely to be breast-fed, raising the possibility of selection bias in the estimation of the effect of breast-feeding itself on subsequent survival. Several maximum likelihood models are estimated to assess the severity of selection bias. A child's health enters the models as an unobserved variable within the framework developed by Heckman and Singer. Birth weight is treated as an indicator for unmeasured variables; that is, the “mixing distribution” for the unobservables shifts with the level of birth weight. Results indicate that the direct influence of breast-feeding on survival remains of overwhelming importance even after corrections for selection bias are made.