Evidence map›Paper›PMID 36714823›Full record

ArticlePopulation, space and place2022

Continuity or change? How the onset of COVID-19 affected internal migration in Australia.

Francisco Perales, Aude Bernard

Open access · hybridAbstract read
In one paragraph

Article in Population, space and place, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
18.9field-weighted citation impact, top 1% of its field
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

1 citing paper in PubMed, 51 citations in OpenAlex.

  1. Article
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 at 1 institution in 1 country.

Francisco PeralesSchool of Social Science The University of Queensland Brisbane Queensland Australia.
Aude BernardSchool of Earth and Environmental Sciences The University of Queensland Brisbane Queensland Australia.ORCID 0000-0001-7388-4562
The University of Queensland · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite anecdotal evidence of a COVID-19 induced decline in the intensity of interstate migration in Australia, population-level evidence is limited. The recent release of the 2020 wave of the Household, Income and Labour Dynamics in Australia (HILDA) Survey provides a unique opportunity to robustly assess the effect of the COVID-19 pandemic on the level, direction, determinants, and reasons for migration in Australia. By applying a series of regression models to individual-level longitudinal microdata, and measuring migration at a range of spatial scales, this paper shows that COVID-19 has somewhat accelerated the long-term decline in the intensity of internal migration-particularly for residential mobility, short-distance migration, and migration due to employment and involuntary reasons. The socio-demographic determinants of migration have remained broadly stable, despite a slight increase in the deterring effect of duration of residence and a reduction in the impact of education. Finally, we show that the increase in net migration gains in regional areas is underpinned by a decrease in outflows. Juxtaposing these results with aggregate-level migration statistics from the Australian Bureau of Statistics from 2021, we conclude that the effect of COVID-19 on internal migration to date has been minimal and is likely to be short-lived. However, it may still be too soon to make a definitive judgement, as shifts in work patterns stemming from the pandemic may further transform the level, direction, and composition of internal migration.

Indexed as

AustraliaCOVID‐19HILDAinternal migrationmobilitypandemicreasons for migratingresidential mobilityresidential relocationtrends

Identifiers

PMID36714823
PMCPMC9874503
OpenAlexW4307650403

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.