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