A comparison of different methods for small area estimation

Gomez-Rubio, Virgilio and Best, Nicky and Richardson, Sylvia A comparison of different methods for small area estimation. NCRM Working Paper. ESRC National Centre for Research Methods. (Unpublished)

[thumbnail of ComparisonSAE.pdf]

Download (279kB) | Preview


Government agencies often provide small area estimates that rely
on available data and some underlying model that helps to provide
estimates in all areas, even in those that were not sampled. Several
models have been well-established for the study of data coming from
small areas.
In this paper we have made a comparison of some of these methods
paying attention to how dierent types of data sets can be employed
eciently and how to deal with the estimation in areas for which no di-
rect individual data area available. We have considered design-based,
regression and EBLUP estimators, which have been tted using both a
likelihood-based and a Bayesian approach. Spatial correlation among
areas has also been considered. As in any study of the performance
of dierent models, we have also compared dierent criteria for model
comparisson and selection.

Item Type: Working Paper (NCRM Working Paper)
Subjects: 1. Frameworks for Research and Research Designs > 1.20 Secondary Analysis > 1.20.3 Analysis of official statistics
5. Quantitative Data Handling and Data Analysis > 5.6 Multilevel Modelling
5. Quantitative Data Handling and Data Analysis > 5.9 Spatial Data Analysis
Depositing User: BIAS user
Date Deposited: 26 Mar 2009 12:05
Last Modified: 14 Jul 2021 13:50
URI: https://eprints.ncrm.ac.uk/id/eprint/743

Actions (login required)

View Item
View Item