The University of Southampton
University of Southampton Institutional Repository

Small area estimation under varying area boundaries using the synthetic estimator

Moura, Fernando, Clarke, Philip and Pfeffermann, Danny (2005) Small area estimation under varying area boundaries using the synthetic estimator Statistics in Transition, 7, (3), pp. 625-636.

Record type: Article

Abstract

This paper investigates the use of hierarchical models for small area estimation with varying area boundaries, employing the synthetic estimator. The paper shows how area estimates and corresponding MSE estimates can be obtained at a variety of nested and intersecting boundary systems by fitting a model at the lowest possible level. The estimates are obtained by aggregating from the lowest level and are therefore internally consistent. The methodology is illustrated by presenting results of a simulation study that uses hierarchical models built at the lowest area level defined by the UK 1991 census.

Full text not available from this repository.

More information

Published date: 2005
Keywords: hierarchical models, intersecting areas, mse estimation

Identifiers

Local EPrints ID: 38505
URI: http://eprints.soton.ac.uk/id/eprint/38505
ISSN: 1234-7655
PURE UUID: 41137acb-ce47-419d-ae71-f82260b14bad

Catalogue record

Date deposited: 19 Jun 2006
Last modified: 17 Jul 2017 15:38

Export record

Contributors

Author: Fernando Moura
Author: Philip Clarke

University divisions

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

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×