Evidence map›Paper›PMID 40208445›Full record

ArticleEuropean journal of population = Revue europeenne de demographie2025

Multiregional Population Forecasting: A Unifying Probabilistic Approach for Modelling the Components of Change.

Arkadiusz Wiśniowski, James Raymer

Abstract read
In one paragraph

Article in European journal of population = Revue europeenne de demographie, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Arkadiusz WiśniowskiSocial Statistics Department, University of Manchester, Oxford Rd, Manchester, M13 9PL, UK. a.wisniowski@manchester.ac.uk.ORCID http://orcid.org/0000-0002-7567-3600
James RaymerSchool of Demography, Australian National University, 146 Ellery Crescent, Acton, ACT, 2601, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this article, we extend the multiregional cohort-component population projection model developed by Andrei Rogers and colleagues in the 1960s and 1970s to be fully probabilistic. The projections are based on forecasts of age-, sex- and region-specific fertility, mortality, interregional migration, immigration and emigration. The approach is unified by forecasting each demographic component of change by using a combination of log-linear models with bilinear terms. This research contributes to the literature by providing a flexible statistical modelling framework capable of incorporating the high dimensionality of the demographic components over time. The models also account for correlations across age, sex, regions and time. The result is a consistent and robust modelling platform for forecasting subnational populations with measures of uncertainty. We apply the model to forecast population for eight states and territories in Australia.

Indexed as

AustraliaBayesian inferenceDemographic forecastingMultiregional demographyProjections

Identifiers

PMID40208445
PMCPMC11985746

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.