Calibrated Weighting for Small Area Estimation
Calibrated Weighting for Small Area Estimation
Calibrated weighting methods for estimation of survey population characteristics are widely used. At the same time, model-based prediction methods for estimation of small area or domain characteristics are becoming increasingly popular. This paper explores weighting methods based on the mixed models that underpin small area estimates to see whether they can deliver equivalent small area estimation performance when compared with standard prediction methods and superior population level estimation performance when compared with standard calibrated weighting methods. A simple MSE estimator for weighted small area estimation is also developed.
Southampton Statistical Sciences Research Institute, University of Southampton
Chambers, R. L.
8a7dccad-7738-408e-a509-2de287bde907
25 January 2005
Chambers, R. L.
8a7dccad-7738-408e-a509-2de287bde907
Chambers, R. L.
(2005)
Calibrated Weighting for Small Area Estimation
(S3RI Methodology Working Papers, M05/04)
Southampton, UK.
Southampton Statistical Sciences Research Institute, University of Southampton
26pp.
Record type:
Monograph
(Working Paper)
Abstract
Calibrated weighting methods for estimation of survey population characteristics are widely used. At the same time, model-based prediction methods for estimation of small area or domain characteristics are becoming increasingly popular. This paper explores weighting methods based on the mixed models that underpin small area estimates to see whether they can deliver equivalent small area estimation performance when compared with standard prediction methods and superior population level estimation performance when compared with standard calibrated weighting methods. A simple MSE estimator for weighted small area estimation is also developed.
Text
14074-01.pdf
- Other
More information
Published date: 25 January 2005
Identifiers
Local EPrints ID: 14074
URI: http://eprints.soton.ac.uk/id/eprint/14074
PURE UUID: 4651bce9-0428-4475-ab01-4c8e11eef756
Catalogue record
Date deposited: 26 Jan 2005
Last modified: 15 Mar 2024 05:18
Export record
Contributors
Author:
R. L. Chambers
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics