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Activity Number: 492
Type: Invited
Date/Time: Wednesday, August 5, 2009 : 2:00 PM to 3:50 PM
Sponsor: Section on Survey Research Methods
Abstract - #302980
Title: Design-Based Model Consistent Estimator for the Nested-Error Regression
Author(s): Tapabrata Maiti*+ and Lixia Diao and Jean Opsomer
Companies: Michigan State University and The University of Texas M.D. Anderson Cancer Center and Colorado State University
Address: , , 48824-1027,
Keywords: model-assisted ; nested-error regression ; small area estimation
Abstract:

In this talk, we introduce a design-based model consistent estimator for a population domain mean. We consider here the unit level model, popularly known as nested-error regression model. We develop a fully design-based method for estimating the model parameters as well as a design-based EBLUP small area estimator, and derive their statistical properties.

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