Small area estimation for spatially correlated populations - A comparison of direct and indirect model-based methods

Authors

Hukum Chandra, University of WollongongFollow
Nicola Salvati, University of Pisa
Ray Chambers, University of WollongongFollow

RIS ID

20540

Publication Details

Chandra, H., Salvati, N. & Chambers, R. L. (2007). Small area estimation for spatially correlated populations - A comparison of direct and indirect model-based methods. Statistics in Transition, 8 (2), 331-350.

Abstract

Linear mixed models underpin many small areas estimation (SAE) methods. In this paper with investigate SAE based on linear models with spatially correlated small area effects where the neighbourhood structure is described by a contiguity matrix. Such models allow efficient use of spatial auxiliary information in SAE.