Abstract #301926

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JSM 2003 Abstract #301926
Activity Number: 188
Type: Invited
Date/Time: Tuesday, August 5, 2003 : 8:30 AM to 10:20 AM
Sponsor: Section on Survey Research Methods
Abstract - #301926
Title: Small Area Estimation from Multiple Surveys Using the Estimating Function-Based Hierarchical Bayes Method
Author(s): Avinash C. Singh*+ and Ralph E. Folsom and Akhil K. Vaish
Companies: RTI International and Research Triangle Institute and Research Triangle Institute
Address: 3040 Cornwallis Rd. RM 302 Hill, RTI, PA, 27709,
Keywords: weight calibration ; dual frame ; estimating functions ; small area estimation
Abstract:

A method of HB-SAE using estimating functions was developed by the authors which generalizes the Fay-Herriot method to unit-level nonlinear models while taking full account of the sampling design in data from a single survey. A multiple frame methodology using weight calibration techniques to produce efficient design-based estimators from multiple surveys was also developed by Singh and Wu . The purpose of this paper is to combine the two developments to produce more efficient SAE using information from multiple surveys while taking full account of the survey design. Empirical results based on a simulation study will be presented for illustration.

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