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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...

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Autores principales: González-Leonardo, Miguel, Potančoková, Michaela, Yildiz, Dilek, Rowe, Francisco
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
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.
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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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