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Activity Number: 167
Type: Topic Contributed
Date/Time: Monday, August 10, 2015 : 10:30 AM to 12:20 PM
Sponsor: Survey Research Methods Section
Abstract #314828
Title: Calibrated Propensity Score Method for Survey Nonresponse in Cluster Sampling
Author(s): Myunghee Paik and Jae-kwang Kim and Yongchan Kwon*
Companies: Seoul National University and Iowa State University and Seoul National University
Keywords: missing data ; nonignorable missing ; survey sampling ; clustered data ; propensity score
Abstract:

Nonresponse is frequently encountered in survey sampling. To correct for unit nonresponse, weighting adjustment using nonresponse propensity score is used. In cluster sampling, the missingness indicators are often correlated within clusters and the response mechanism is subject to cluster-specific nonignorable (CSNI) missingness. Based on a parametric model for the response mechanism incorporating the CSNI missingness, we propose a method of nonresponse weighting adjustment under cluster sampling. The proposed method provides a consistent estimator of the mean or totals when the study variable follows a linear mixed model. A consistent variance estimator based on Taylor linearization is also proposed. Numerical results, including a simulation and a real data application, are also presented.


Authors who are presenting talks have a * after their name.

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