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Activity Number: 292
Type: Invited
Date/Time: Tuesday, August 5, 2008 : 2:00 PM to 3:50 PM
Sponsor: Section on Survey Research Methods
Abstract - #300223
Title: Hierarchical Bayes Estimation for Bivariate Binary Data with Applications to Small-Area Estimation
Author(s): Malay Ghosh*+
Companies: University of Florida
Address: Department of Statistics, Gainesville, FL, 32611-8545,
Keywords: Infant Mortality Rates ; Gibbs Sampling ; Low Birthweight ; Missing Covariates
Abstract:

The paper addresses small-area estimation problems when the response is bivariate binary, and some of the covariates may be partially missing. Hierarchical Bayesian models which accommodate this missingness are considered. Estimators of small-area means, along with the associated posterior standard errors and posterior correlations, are provided. The method is applied to the analysis of a real data set, and the superiority of the hierarchical Bayes estimators over the direct estimators is established.

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Revised September, 2008