Paul Allin's contribution to the Discussion of 'A system of population estimates compiled from administrative data only' by Dunne and Zhang
File(s)qnad102.pdf (858.06 KB)
Published version
Author(s)
Allin, Paul
Zhang, Li-Chun
Type
Journal Article
Abstract
This paper presents a novel system of annual Population Estimates Compiled from Administrative Data Only
(PECADO) for Ireland in the absence of a Central Population Register. The system is entirely based on data
originated from administrative sources, so that population estimates can be produced even without
purposely designed coverage surveys or a periodic census to recalibrate estimates. It requires several
extensions to the traditional Dual System Estimation (DSE) methodology, including a restatement of the
underlying assumptions, a trimmed DSE method for dealing with erroneous enumerations in the
administrative register, and a test for heterogeneous capture probabilities to facilitate the choice of blocking
in applications. The PECADO estimates for years 2011–2016 are compared to the Census counts in 2011
and 2016. We demonstrate how the system can be used to investigate the Census 2016 under-count in
Ireland, in place of the traditional approach of deploying additional population coverage surveys.
(PECADO) for Ireland in the absence of a Central Population Register. The system is entirely based on data
originated from administrative sources, so that population estimates can be produced even without
purposely designed coverage surveys or a periodic census to recalibrate estimates. It requires several
extensions to the traditional Dual System Estimation (DSE) methodology, including a restatement of the
underlying assumptions, a trimmed DSE method for dealing with erroneous enumerations in the
administrative register, and a test for heterogeneous capture probabilities to facilitate the choice of blocking
in applications. The PECADO estimates for years 2011–2016 are compared to the Census counts in 2011
and 2016. We demonstrate how the system can be used to investigate the Census 2016 under-count in
Ireland, in place of the traditional approach of deploying additional population coverage surveys.
Date Issued
2024-01-01
Date Acceptance
2023-06-22
Citation
Journal of the Royal Statistical Society: Series A (Statistics in Society), 2024, 187 (1)
ISSN
0964-1998
Publisher
Royal Statistical Society
Journal / Book Title
Journal of the Royal Statistical Society: Series A (Statistics in Society)
Volume
187
Issue
1
Copyright Statement
© The Royal Statistical Society 2023. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https:// creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
License URL
Subjects
capture-recapture methods
census transformation
erroneous records
heterogeneous capture rates
Mathematical Methods In Social Sciences
Mathematics
Physical Sciences
QUALITY
Science & Technology
Signs-of-Life approach
Social Sciences
Social Sciences, Mathematical Methods
Statistics & Probability
under-coverage
Publication Status
Published
Date Publish Online
2023-08-04