The University of Southampton
University of Southampton Institutional Repository

Multipurpose small area estimation

Chandra, Hukum and Chambers, Ray (2006) Multipurpose small area estimation , Southampton, UK Southampton Statistical Sciences Research Institute 24pp. (S3RI Methodology Working Papers, M06/06).

Record type: Monograph (Working Paper)

Abstract

Sample surveys are generally multivariate, in the sense that they measure more than one
response variable. In theory, each variable can then be assigned an optimal weight for
estimation purposes. However, it is often a distinct practical advantage to have a single
weight that is used with all variables collected in the survey. This paper describes how
such multipurpose sample weights can be constructed when small area estimates of the
survey variables are required. The approach is based on the model-based direct (MBD)
method of small area estimation described in Chambers and Chandra (2006). Empirical
results reported in this paper show that MBD estimators for small areas based on
multipurpose weights perform well across a range of variables that are often of interest in
business surveys. Furthermore, these results show that the proposed approach is robust to
model misspecification and also efficient for the variables ill-suited to standard methods
of small area estimation (e.g. variables that contain a significant proportion of zeros).

PDF s3ri-workingpaper-m06-06.pdf - Author's Original
Download (2MB)

More information

Published date: 9 June 2006

Identifiers

Local EPrints ID: 38464
URI: http://eprints.soton.ac.uk/id/eprint/38464
PURE UUID: fbce6f87-9077-40cd-8b3c-34799abfc431

Catalogue record

Date deposited: 09 Jun 2006
Last modified: 17 Jul 2017 15:38

Export record

Contributors

Author: Hukum Chandra
Author: Ray Chambers

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.

×