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631 – Small Area Estimation: “Producing Estimates for Small Areas from Sampled Data”
Two-Fold Subarea Models for Small Area Estimation: Some Theory and Model Selection
Song Cai
Carleton University
Goldshid Chatrchi
Statistics Canada
Laura Dumitrescu
Victoria University
J.N.K Rao
Carleton University
We study some inference problems under two-fold subarea models with random effects, which generalize the celebrated Fay-Herriot area model. We develop the theory of empirical best prediction for a subarea parameter under unmatched two-fold subarea models. In addition, we propose an effective variable selection method under matched two-fold subarea models, based on transformation. Simulation results are provided to illustrate the strengths of the proposed methods.