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http://dx.doi.org/10.29220/CSAM.2022.29.2.263

A response probability estimation for non-ignorable non-response  

Chung, Hee Young (Department of Statistics, Hankuk University of Foreign Studies)
Shin, Key-Il (Department of Statistics, Hankuk University of Foreign Studies)
Publication Information
Communications for Statistical Applications and Methods / v.29, no.2, 2022 , pp. 263-275 More about this Journal
Abstract
Use of appropriate technique for non-response occurring in sample survey improves the accuracy of the estimation. Many studies have been conducted for handling non-ignorable non-response and commonly the response probability is estimated using the propensity score method. Recently, post-stratification method to obtain the response probability proposed by Chung and Shin (2017) reduces the effect of bias and gives a good performance in terms of the MSE. In this study, we propose a new response probability estimation method by combining the propensity score adjustment method using the logistic regression model with post-stratification method used in Chung and Shin (2017). The superiority of the proposed method is confirmed through simulation.
Keywords
response probability model; bias estimation; sample distribution; population distribution; post-stratification;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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