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Activity Number: 504
Type: Invited
Date/Time: Wednesday, August 7, 2013 : 10:30 AM to 12:20 PM
Sponsor: Survey Research Methods Section
Abstract - #307040
Title: Parametric Bootstrap Confidence Intervals for Survey-Weighted Small-Area Proportions
Author(s): Benmei Liu*+ and Mamadou Diallo
Companies: National Cancer Institute and Westat
Keywords: Survey-weighted proportions ; Fay-Herriot model ; parametric bootstrap ; coverage properties
Abstract:

In this paper, we apply the recently developed parametric bootstrap method in constructing confidence intervals for the well-known Fay-Herriot model in estimating survey-weighted small area proportions. Through design-based simulation studies from a real finite population and extensive purely model-based simulation studies, we examine the coverage properties of the parametric bootstrap confidence intervals for the Fay-Herriot model. We also compare them with those obtained from other competing methods for the same model.


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