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Application of small area estimation methods to labour force statistics in Ireland

Application of small area estimation methods to labour force statistics in Ireland
Application of small area estimation methods to labour force statistics in Ireland
This thesis reviews small area estimation methods for the purpose of estimating labour force indicators of detailed geographical and demographic subgroups in Ireland. It focuses on the area level model, one of the most popular SAE methods used for this application in other countries. It proposes an alternative to the standard formulation of this model, termed the Sample Covariate (SC) area level model. This model is evaluated to determine where it can provide improvements over the standard model. Several models are implemented to produce disaggregated Irish labour force estimates. These include two standard area level models, one of which used the outputs from SPREE estimation as auxiliaries. Data issues prevent the SC model from being applied as formulated, so an adjusted version of it, the SC-SPREE, is implemented instead. These three models are evaluated and recommendations developed for future applications of small area methods to labour force statistics in the Irish context.
small area estimation, Fay Herriot model, labour force survey, design based inference
University of Southampton
Delaney, Jillian
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Delaney, Jillian
4f91fd56-b63e-4be5-a59f-a908f210f022
Zhang, Li-Chun
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Luna Hernandez, Angela
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Pantalone, Francesco
c1b85bef-a71c-4851-9807-7776bc0b5ded

Delaney, Jillian (2026) Application of small area estimation methods to labour force statistics in Ireland. University of Southampton, Doctoral Thesis, 360pp.

Record type: Thesis (Doctoral)

Abstract

This thesis reviews small area estimation methods for the purpose of estimating labour force indicators of detailed geographical and demographic subgroups in Ireland. It focuses on the area level model, one of the most popular SAE methods used for this application in other countries. It proposes an alternative to the standard formulation of this model, termed the Sample Covariate (SC) area level model. This model is evaluated to determine where it can provide improvements over the standard model. Several models are implemented to produce disaggregated Irish labour force estimates. These include two standard area level models, one of which used the outputs from SPREE estimation as auxiliaries. Data issues prevent the SC model from being applied as formulated, so an adjusted version of it, the SC-SPREE, is implemented instead. These three models are evaluated and recommendations developed for future applications of small area methods to labour force statistics in the Irish context.

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More information

Published date: 17 May 2026
Keywords: small area estimation, Fay Herriot model, labour force survey, design based inference

Identifiers

Local EPrints ID: 511557
URI: http://eprints.soton.ac.uk/id/eprint/511557
PURE UUID: d4ac9a80-71de-4be9-a0bb-4f1fb60745f2
ORCID for Jillian Delaney: ORCID iD orcid.org/0009-0008-1117-0562
ORCID for Li-Chun Zhang: ORCID iD orcid.org/0000-0002-3944-9484
ORCID for Angela Luna Hernandez: ORCID iD orcid.org/0000-0001-8629-1918
ORCID for Francesco Pantalone: ORCID iD orcid.org/0000-0002-7943-7007

Catalogue record

Date deposited: 20 May 2026 16:53
Last modified: 21 May 2026 02:02

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Contributors

Author: Jillian Delaney ORCID iD
Thesis advisor: Li-Chun Zhang ORCID iD
Thesis advisor: Angela Luna Hernandez ORCID iD
Thesis advisor: Francesco Pantalone ORCID iD

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