摘要
在"三新企业"的抽样调查中,由于其总体单位在短期内新生、消亡较为频繁,且各单位目标变量的水平变化也比较大,随着时间的推移,采用传统固定抽样框进行抽样设计获得的样本对总体的代表性会越来越差,难以准确地对总体目标变量水平进行有效估计。为解决该问题,设计了一种基于动态总体抽样框变动的事后分层复合抽样方法,通过调查前后两期抽样框内各层所抽取样本对总体目标变量水平进行估计。主要是针对"三新企业"总体单位短期内变化大的特点,提出了动态总体的概念,通过抽样框各层总体事后分层和各层总体容量动态变化的推断,给出了基于前后两期抽样框变化的事后分层复合估计方法,构造了相应的估计量。实验表明,基于动态总体设计的事后分层复合抽样估计量具有无偏性,该抽样估计方法对动态总体特征的估计更准确。
In the statistical survey of“three new enterprises”,due to the frequent rebirth and disappearance of the overall unit in the short term,and the large change of the target variable level of each unit,the sample obtained by the traditional fixed sampling frame sampling design will be worse and worse over time,and it is difficult to accurately estimate the overall target variable level.In view of the characteristics of“three new enterprises”that the overall unit changes greatly in a short period,the concept of dynamic population is put forward.By inferring the post stratification of each layer of the sampling frame and the dynamic change of the overall capacity of each layer,it gives a post stratification composite estimation method based on the changes of the sampling frame in the two periods,and constructs the corresponding estimators.The experimental results show that the estimator of post stratified composite sampling based on dynamic population design is unbiased,and the sampling estimation method is more accurate in estimating the characteristics of dynamic population.
作者
张维群
段格格
ZHANG Wei-qun;DUAN Ge-ge(School of Statistics,Xi’an University of Finance and Economics,Xi’an 710100,China)
出处
《统计与信息论坛》
CSSCI
北大核心
2021年第7期3-9,共7页
Journal of Statistics and Information
基金
国家社会科学基金重点项目“基本公共服务均等化测度理论、方法与应用”(20ATJ002)。
关键词
动态总体
事后分层
复合抽样
复合估计
dynamic population
post stratified
composite sampling
composite estimation
