Moretti, A. and Whitworth, A. orcid.org/0000-0001-6119-9373 (2019) Evaluations of small area composite estimators based on the iterative proportional fitting algorithm. Communications in Statistics - Simulation and Computation, 49 (12). pp. 3093-3110. ISSN 0361-0918
Abstract
This article deals with the use of sample size dependent composite estimators in spatial microsimulation approaches for small area estimation. This approach has been applied to regression-based small area estimation approaches but never to our knowledge to spatial microsimulation approaches. In this paper, we extend the iterative proportional fitting (IPF) spatial microsimulation technique to small area composite estimators. Using a simulation study, we show both the impact of sample size and the gains from composite estimation to the mean squared error of IPF-based composite estimators. The target variable used is a binary variable reporting good health or bad health.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2019 Taylor & Francis Group. This is an author-produced version of a paper subsequently published in Communications in Statistics - Simulation and Computation. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Small area estimation; spatial microsimulation; IPF; composite estimator; synthetic estimator |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Social Sciences (Sheffield) > Department of Geography (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 11 Sep 2019 11:30 |
Last Modified: | 10 Dec 2021 14:26 |
Status: | Published |
Publisher: | Taylor & Francis |
Refereed: | Yes |
Identification Number: | 10.1080/03610918.2018.1535067 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:150658 |