A note on propensity score weighting method using paradata in survey sampling

Date
2019-12-01
Authors
Park, Seho
Kim, Jae Kwang
Kim, Kimin
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Altmetrics
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Statistics
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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.

Description

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.

Keywords
Unit Nonresponse, Smoothed weight, Surrogate variable
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