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Modeling of Exclusive Breastfeeding and Mother Working Status with Recursive Bivariate Probit Model(Case Study in Surabaya City 2017)

机译:递归二抗体概率模型的独家母乳喂养和母亲工作状态的建模(泗水城案例研究)

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There are special cases in Bivariate Probit model where one dependent variable becomes the regressor endogenous variable for the other dependent variable.Therefore, recursive bivariate model is used to solve this case.Exclusive breastfeeding is measured to identify its characteristics so that policies can be formulated to increase the rate of exclusive breastfeeding.The variable of mother working status is endogenous.Therefore, a recursive model is used to model this case.Mother's working status affects mother's exclusive breastfeeding.Mothers who do not work increase the chances of a mother being able to give exclusive breastfeeding.The greater the age of the first pregnancy of the mother, the less the chances of mothers to not work.A mother with more child has more chance to not working.A medium number of family member affect a chance for a mother to working.A mother who has last education at the Elementary School has a high chance of exclusively breastfeeding their babies.This may be related to the ability of mothers to work with mother's education.Early Initiation of Breastfeeding(EIB)affects the opportunity for mothers to exclusively breastfeed.It proves the importance of EIB shortly after the baby is born so that the baby does not confuse the nipple and the breastfeeding process becomes easy.A husband who has last education at Senior High School give a greater chance for the mother to exclusively breastfeed.Recursive Bivariate Probit models have smaller AIC values than Bivariate Probits, which are 522.226 and 526.414.This shows that the Recursive Bivariate Probit model is better at modeling cases of exclusive breastfeeding and the status of working mothers in Surabaya city than Bivariate Probit Model.
机译:有特殊情况下在二元Probit模型,其中一个因变量变成用于其它从属variable.Therefore回归量的内源可变,递归二元模型被用来解决这个case.Exclusive母乳喂养被测量,以确定它的特性,使得策略可以被配制成增加的母亲工作状态独家breastfeeding.The变量的速度是endogenous.Therefore,递归模型来此case.Mother的工作状态进行建模会影响母亲的独家breastfeeding.Mothers谁不工作增加一个母亲能的机会给予独家breastfeeding.The更大的母亲的第一次怀孕的年龄,母亲不work.A母亲少的机会与更多的孩子有更多的机会到家庭成员的不working.A媒体数量影响一个机会,一个母亲到working.A母亲谁在小学有最后的教育有专门母乳喂养babies.This可b A几率高与母亲母乳喂养的母亲education.Early启动(EIB)工作的能力Ë影响母亲的机会,专门breastfeed.It证明EIB的宝宝出生后不久,让宝宝不混淆乳头的重要性和母乳喂养过程变得easy.A丈夫谁在高中最后有教育给了母亲一个更大的机会专门breastfeed.Recursive二元概率单位模型具有较小的AIC值比二元Probits,这是522.226和526.414.This表明,递归二元概率单位模型在模拟纯母乳喂养,并在泗水市比双变量Probit模型工作的母亲的地位的情况下更好。

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