Campus Units
Statistics
Document Type
Article
Publication Version
Published Version
Publication Date
12-2019
Journal or Book Title
Survey Methodology
Volume
45
Issue
3
First Page
451
Last Page
463
Abstract
Paradata is often collected during the survey process to monitor the quality of the survey response. One such paradata is a respondent behavior, which can be used to construct response models. The propensity score weight using the respondent behavior information can be applied to the final analysis to reduce the nonresponse bias. However, including the surrogate variable in the propensity score weighting does not always guarantee the efficiency gain. We show that the surrogate variable is useful only when it is correlated with the study variable. Results from a limited simulation study confirm the finding. A real data application using the Korean Workplace Panel Survey data is also presented.
Rights
Source: Statistics Canada, Survey Methodology, December 17, 2019. Reproduced and distributed on an "as is" basis with the permission of Statistics Canada.
Copyright Owner
Minister of Industry
Copyright Date
2019
Language
en
File Format
application/pdf
Recommended Citation
Park, Seho; Kim, Jae Kwang; and Kim, Kimin, "A note on propensity score weighting method using paradata in survey sampling" (2019). Statistics Publications. 313.
https://lib.dr.iastate.edu/stat_las_pubs/313
Included in
Design of Experiments and Sample Surveys Commons, Statistical Methodology Commons, Statistical Models Commons
Comments
This article is published as Park, Seho, Jae Kwang Kim, and Kimin Kim. "A note on propensity score weighting method using paradata in survey sampling." Survey Methodolgy 45, no. 3 (2019): 451-463. Posted with permission.