536 – Sampling Design and Pre-Survey Benefits
Sampling Design for the Primary Farm Household Survey of the Taiwanese Agriculture Study
Chang-Tai Chao
Department of Statistics, National Cheng Kung University, Taiwan
Chien-Min Huang
Department of Statistics, National Cheng Kung University, Taiwan
Chiu-Yen Lee
Council of Agriculture, Executive Yuan, Taiwan
Shiow-Ing Lin
Council of Agriculture, Executive Yuan, Taiwan
Yu-wen Liu
Council of Agriculture, Executive Yuan, Taiwan
The census of Agriculture, Forestry, Fishery and Animal Husbandry is an important official survey in Taiwan. However, enormous survey cost and effort for the data processing are required for such a nationwide census, hence this census can only be conducted every five years. Therefore, certain annual agriculture survey is necessary for the realization of the current related industry information, so that proper policy can be formulated timely. A sampling strategy for the Taiwanese primary farm household survey is constructed in this research. A stratified random sampling design, in which the optimal stratum boundary and allocation are carried out based on the 2010 census data, is proposed for the purpose to enhance the estimation precision and investigate certain subpopulations of interest. The result indicates that the performance of the proposed stratified sampling is much more advantageous than simple random sampling without replacement and other stratified design with optimal allocation and equal within-stratum size stratification boundary under a comparable total sample size.