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 (Unpublished)

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Abstract

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
ID Code:743
Deposited By: BIAS user
Deposited On:26 Mar 2009 12:05
Last Modified:12 Oct 2010 17:41

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