Abstract #300821

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JSM 2003 Abstract #300821
Activity Number: 34
Type: Invited
Date/Time: Sunday, August 3, 2003 : 4:00 PM to 5:50 PM
Sponsor: Section on Survey Research Methods
Abstract - #300821
Title: Small Area Estimation Based on NEF-QVF Models and Survey Weights
Author(s): Tapabrata Maiti*+ and Malay Ghosh
Companies: Iowa State University and University of Florida
Address: Dept. of Statistics, Ames, IA, 50011-0001,
Keywords: optimal estimating equations ; pseudoempirical best ; linear unbiased estimators ; area specific covariates ; mean squared errors ; poor school-age children
Abstract:

This talk presents small area estimators based on natural exponential family (NEF) quadratic variance function (QVF) models. We propose pseudoempirical best linear unbiased estimators of small area means based on area-specific covariates and certain summary measures involving survey weights. If time permits, mean squared error estimation will also be discussed. The methodology is illustrated by estimating the proportion of poor children in the age group 5-17 for the different counties in one of the states in the U.S.

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