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Quantifying the impact of COVID-19 on immigration in receiving high-income countries
Previous studies have examined the impact of COVID-19 on mortality and fertility. However, little is known about the effect of the pandemic on constraining international migration. We use Eurostat and national statistics data on immigration and ARIMA time-series models to quantify the impact of COVI...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9851539/ https://www.ncbi.nlm.nih.gov/pubmed/36656879 http://dx.doi.org/10.1371/journal.pone.0280324 |
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author | González-Leonardo, Miguel Potančoková, Michaela Yildiz, Dilek Rowe, Francisco |
author_facet | González-Leonardo, Miguel Potančoková, Michaela Yildiz, Dilek Rowe, Francisco |
author_sort | González-Leonardo, Miguel |
collection | PubMed |
description | Previous studies have examined the impact of COVID-19 on mortality and fertility. However, little is known about the effect of the pandemic on constraining international migration. We use Eurostat and national statistics data on immigration and ARIMA time-series models to quantify the impact of COVID-19 on immigration flows in 15 high-income countries by forecasting their counterfactual levels in 2020, assuming no pandemic, and comparing these estimates with observed immigration counts. We then explore potential driving forces, such as stringency measures and increases in unemployment moderating the extent of immigration change. Our results show that immigration declined in all countries, except in Finland. Yet, significant cross-national variations exist. Australia (60%), Spain (45%) and Sweden (36%) display the largest declines, while immigration decreased by between 15% and 30% in seven countries, and by less than 15% in four nations where results were not statistically significant. International travel restrictions, mobility restrictions and stay-at-home requirements exhibit a relatively strong relationship with declines in immigration, although countries with similar levels of stringency witnessed varying levels of immigration decline. Work and school closings and unemployment show no relationship with changes in immigration. |
format | Online Article Text |
id | pubmed-9851539 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-98515392023-01-20 Quantifying the impact of COVID-19 on immigration in receiving high-income countries González-Leonardo, Miguel Potančoková, Michaela Yildiz, Dilek Rowe, Francisco PLoS One Research Article Previous studies have examined the impact of COVID-19 on mortality and fertility. However, little is known about the effect of the pandemic on constraining international migration. We use Eurostat and national statistics data on immigration and ARIMA time-series models to quantify the impact of COVID-19 on immigration flows in 15 high-income countries by forecasting their counterfactual levels in 2020, assuming no pandemic, and comparing these estimates with observed immigration counts. We then explore potential driving forces, such as stringency measures and increases in unemployment moderating the extent of immigration change. Our results show that immigration declined in all countries, except in Finland. Yet, significant cross-national variations exist. Australia (60%), Spain (45%) and Sweden (36%) display the largest declines, while immigration decreased by between 15% and 30% in seven countries, and by less than 15% in four nations where results were not statistically significant. International travel restrictions, mobility restrictions and stay-at-home requirements exhibit a relatively strong relationship with declines in immigration, although countries with similar levels of stringency witnessed varying levels of immigration decline. Work and school closings and unemployment show no relationship with changes in immigration. Public Library of Science 2023-01-19 /pmc/articles/PMC9851539/ /pubmed/36656879 http://dx.doi.org/10.1371/journal.pone.0280324 Text en © 2023 González-Leonardo et al https://creativecommons.org/licenses/by/4.0/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 use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article González-Leonardo, Miguel Potančoková, Michaela Yildiz, Dilek Rowe, Francisco Quantifying the impact of COVID-19 on immigration in receiving high-income countries |
title | Quantifying the impact of COVID-19 on immigration in receiving high-income countries |
title_full | Quantifying the impact of COVID-19 on immigration in receiving high-income countries |
title_fullStr | Quantifying the impact of COVID-19 on immigration in receiving high-income countries |
title_full_unstemmed | Quantifying the impact of COVID-19 on immigration in receiving high-income countries |
title_short | Quantifying the impact of COVID-19 on immigration in receiving high-income countries |
title_sort | quantifying the impact of covid-19 on immigration in receiving high-income countries |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9851539/ https://www.ncbi.nlm.nih.gov/pubmed/36656879 http://dx.doi.org/10.1371/journal.pone.0280324 |
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