摘要
本文应用Bayesian方法对经典随机前沿模型进行了推断,得到模型参数的后验条件分布,在此基础上对参数的后验均值进行了计算。将估计的该模型应用甘肃省14个市(州)的卫生技术效率评价中,测算了14个市(州)相对卫生绩效。得出卫生绩效较高的市为:天水市、张掖市、定西市、陇南市;卫生绩效居中的市为:兰州市、嘉峪关市、金昌市、武威市、平凉市、酒泉市、甘南州;卫生绩效较低的市为:白银市、庆阳市、临夏州。
In this paper, the Bayesian method is used to deduce the classical stochastic frontier model and obtain the posterior conditional distribution of the model parameters. On this basis, the posterior mean value of the parameters is calculated. The estimated model was applied to 14 cities (states) of Gansu province in the evaluation of health technology efficiency, and the relative health performance of 14 cities (states) was measured. The city with higher health performance is: Tianshui city, Zhangye city, Dingxi city and Longnan city. The city is: Lanzhou city, Jiayuguan city, Jinchang city, Wuwei city, Pingliang city, Jiuquan city, Gannan prefecture. The city with low health performance is Baiyin city, Qingyang city and Linxia state.
出处
《统计学与应用》
2018年第2期256-262,共7页
Statistical and Application
基金
兰州财经大学陇桥学院大学生创新创业项目。
