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Activity Number: 16
Type: Topic Contributed
Date/Time: Sunday, July 29, 2012 : 2:00 PM to 3:50 PM
Sponsor: Section on Survey Research Methods
Abstract - #305066
Title: Design-Based Evaluation of Bayesian Methods for Complex Survey Data
Author(s): Santanu Pramanik*+ and Partha Lahiri
Companies: NORC and University of Maryland
Address: 8151 Needwood Rd., Derwood, MD, 20855-2273, United States

We present a Bayesian method for making inferences about small area parameters using complex survey data. Although a number of Bayesian estimators have been suggested in the small area estimation literature, the methodological research on their design-based evaluation received relatively less attention. In this paper, we propose a new design-based evaluation criterion for comparing different priors and also other small area estimators. Using a real finite population and design-based simulations, we compare our Bayesian method with other small area estimation methods.

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