Campus Units
Statistics
Document Type
Article
Publication Version
Published Version
Publication Date
2014
Journal or Book Title
The Annals of Applied Statistics
Volume
8
Issue
3
First Page
1492
Last Page
1515
DOI
10.1214/14-AOAS746
Abstract
Self-selected samples are frequently obtained due to different levels of survey participation propensity of the survey individuals. When the survey participation is related to the survey topic of interest, propensity score weighting adjustment using auxiliary information may lead to biased estimation. In this paper, we consider a parametric model for the response probability that includes the study variable itself in the covariates of the model and proposes a novel application of two-phase sampling to estimate the parameters of the propensity model. The proposed method includes an experiment in which data are collected again from a subset of the original self-selected sample. With this two-phase sampling experiment, we can estimate the parameters in a propensity score model consistently. Then the propensity score adjustment can be applied to the self-selected sample to estimate the population parameters. Sensitivity of the selection model assumption is investigated from two limited simulation studies. The proposed method is applied to the 2012 Iowa Caucus Survey.
Copyright Owner
Institute of Mathematical Statistics
Copyright Date
2014
Language
en
File Format
application/pdf
Recommended Citation
Westat and Kim, Jae Kwang, "Two-phase sampling experiment for propensity score estimation in self-selected samples" (2014). Statistics Publications. 115.
https://lib.dr.iastate.edu/stat_las_pubs/115
Comments
This article is published as Chen, Sixia; Kim, Jae-Kwang. Two-phase sampling experiment for propensity score estimation in self-selected samples. Ann. Appl. Stat. 8 (2014), no. 3, 1492--1515. doi:10.1214/14-AOAS746. Posted with permission.