Abstract Details
Activity Number:
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584
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Type:
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Topic Contributed
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Date/Time:
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Wednesday, August 7, 2013 : 2:00 PM to 3:50 PM
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Sponsor:
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Survey Research Methods Section
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Abstract - #309010 |
Title:
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Propensity Score Adjustment Method for Nonignorable Nonresponse
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Author(s):
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Minsun Riddles*+ and Jae-Kwang Kim
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Companies:
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Iowa State University/Westat and Iowa State University
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Keywords:
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Exponential tilting model ;
Nonresponse error ;
Nonresponse weighting adjustment ;
Not missing at random
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Abstract:
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The propensity-score-adjustment method is a popular technique for handling unit nonresponse in sample surveys. If the response probability depends on the study variable that is subject to missingness, estimating the response probability requires additional distributional assumptions about the study variable. Instead of making fully parametric assumptions about the population distribution and the response mechanism, we propose a novel approach that is based on the distributional assumptions of the observed part of the sample. Since the model for the observed part of the sample can be verified from the data, the proposed method is less sensitive to failure of the assumed model. Variance estimation is discussed, and results from two limited simulation studies are presented to compare the performance of the proposed method with the existing methods. The proposed method is applied to the analysis of election Exit Poll data in the 2008 general election in Korea.
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Authors who are presenting talks have a * after their name.
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