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Activity Number: 253
Type: Contributed
Date/Time: Tuesday, August 8, 2006 : 8:30 AM to 10:20 AM
Sponsor: Section on Survey Research Methods
Abstract - #305727
Title: A Comparison between Ratio Estimation and Post-Stratification
Author(s): Chang-Tai Chao*+ and Tzu-Ching Chiang
Companies: National Cheng Kung University and National Cheng Kung University
Address: No 1 University Road, Tainan City, 701, Taiwan
Keywords: ratio estimation ; post-stratification ; auxiliary variable ; relative efficiency ; design-based ; model-based
Abstract:

To improve the estimation in a survey sampling problem, ratio estimator is recommended often when auxiliary variable is available. By taking advantage of the correlation between the variable of primary interest and the auxiliary variable, though biased, ratio estimator often can provide more efficient estimation result than sample mean. On the other hand, post-stratification is used when the population cannot be stratified before the sample is selected. It also is able to provide more efficient estimate than the overall sample mean of the variable of interest. In this research, these two estimation methods are compared in terms of their relative efficiency. We also discuss whether ratio estimator or post-stratification should be used in practice.

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