An Estimation Method Based on Dynamic Adjustment of Hierarchical Sampling Unit Weights in "Three New" Enterprises
Sampling survey of"three new"enterprises is an important method to timely grasp and monitor the economic development of"three new".Considering the population unit of the survey changes rapidly,the sampling frame information changes greatly,and the latest characteristics of the population cannot be covered in time.The sample data structure obtained by this sampling frame is quite different from the distribution structure of the population,and the representativeness of the sample is relatively weak,which will affect the effective estimation of the population quantitative characteristics.Based on the changed characteristics of survey population units,the units in sampling frame are divided into reserved units and transfered units.On the basis,according to the change of stratified structure of sample units,an estimation method based on dynamic adjustment of stratified sampling unit weight of"three new"enterprises is designed.Firstly,the unit features of different layers are mined by post-stratification method,and the capacity of each layer of sampling frame is predicted.Secondly,the weights of the target variable estimators are modified according to the prediction of the change of the layer size.Finally,compound estimators of quantitative characteristics after population dynamic changes are constructed by self-weighted design,and their optimality is discussed.Compared with the traditional method under fixed sampling frame,the estimation method based on dynamic adjustment of stratified sampling unit weight has higher sampling efficiency,and the constructed estimators of population quantitative characteristics have unbiased and effective in repeated sampling experiments on simulated data of"three new"enterprises.
"three new" enterprisessampling unitsample distribution structurecompound estimationself-weighted design