Campus Units

Statistics

Document Type

Article

Publication Version

Published Version

Publication Date

6-2015

Journal or Book Title

Survey Methodology

Volume

41

Issue

1

First Page

21

Last Page

36

Abstract

An area-level model approach to combining information from several sources is considered in the context of small area estimation. At each small area, several estimates are computed and linked through a system of structural error models. The best linear unbiased predictor of the small area parameter can be computed by the general least squares method. Parameters in the structural error models are estimated using the theory of measurement error models. Estimation of mean squared errors is also discussed. The proposed method is applied to the real problem of labor force surveys in Korea.

Comments

This article is published as Kim, Jae-kwang, Seunghwan Park, and Seo-young Kim. "Small area estimation combining information from several sources." Survey Methodology 41 (2015). Posted with permission.

Rights

Source: Statistics Canada; Survey Methodology; June 2015. Reproduced and distributed on an "as is" basis with the permission of Statistics Canada.

Copyright Owner

Minister of Industry

Language

en

File Format

application/pdf