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Abstract Details

Activity Number: 66
Type: Topic Contributed
Date/Time: Sunday, July 29, 2012 : 4:00 PM to 5:50 PM
Sponsor: Section on Survey Research Methods
Abstract - #305110
Title: Benchmarked Small Area Prediction
Author(s): Wayne A. Fuller and Emily J Berg and Andreea Erciulescu*+
Companies: Iowa State University and National Agricultural Statistics Service and Iowa State University
Address: Snedecor Hall, Ames, IA, 50011,
Keywords: Restricted estimation ; Calibration ; Mixed linear models ; Best linear unbiased prediction ; Self-calibrated

Small area estimation often involves constructing predictions with an estimated model followed by a benchmarking step. In the benchmarking operation the predictions are modified so that weighted sums satisfy constraints. The most common constraint is the constraint that a weighted sum of the predictions is equal to the same weighted sum of the original observations. Augmented models as a method of imposing the constraint are investigated for both linear and nonlinear models. Variance estimators for benchmarked predictors are presented.

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