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Bilateral international migration flow estimates for 200 countries

Data on stocks and flows of international migration are necessary to understand migrant patterns and trends and to monitor and evaluate migration-relevant international development agendas. Many countries do not publish data on bilateral migration flows. At least six methods have been proposed recen...

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Autores principales: Abel, Guy J., Cohen, Joel E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6572777/
https://www.ncbi.nlm.nih.gov/pubmed/31209218
http://dx.doi.org/10.1038/s41597-019-0089-3
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author Abel, Guy J.
Cohen, Joel E.
author_facet Abel, Guy J.
Cohen, Joel E.
author_sort Abel, Guy J.
collection PubMed
description Data on stocks and flows of international migration are necessary to understand migrant patterns and trends and to monitor and evaluate migration-relevant international development agendas. Many countries do not publish data on bilateral migration flows. At least six methods have been proposed recently to estimate bilateral migration flows between all origin-destination country pairs based on migrant stock data published by the World Bank and United Nations. We apply each of these methods to the latest available stock data to provide six estimates of five-year bilateral migration flows between 1990 and 2015. To assess the resulting estimates, we correlate estimates of six migration measures from each method with equivalent reported data where possible. Such systematic efforts at validation have largely been neglected thus far. We show that the correlation between the reported data and the estimates varies widely among different migration measures, over space, and over time. We find that the two methods using a closed demographic accounting approach perform consistently better than the four other estimation approaches.
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spelling pubmed-65727772019-06-21 Bilateral international migration flow estimates for 200 countries Abel, Guy J. Cohen, Joel E. Sci Data Data Descriptor Data on stocks and flows of international migration are necessary to understand migrant patterns and trends and to monitor and evaluate migration-relevant international development agendas. Many countries do not publish data on bilateral migration flows. At least six methods have been proposed recently to estimate bilateral migration flows between all origin-destination country pairs based on migrant stock data published by the World Bank and United Nations. We apply each of these methods to the latest available stock data to provide six estimates of five-year bilateral migration flows between 1990 and 2015. To assess the resulting estimates, we correlate estimates of six migration measures from each method with equivalent reported data where possible. Such systematic efforts at validation have largely been neglected thus far. We show that the correlation between the reported data and the estimates varies widely among different migration measures, over space, and over time. We find that the two methods using a closed demographic accounting approach perform consistently better than the four other estimation approaches. Nature Publishing Group UK 2019-06-17 /pmc/articles/PMC6572777/ /pubmed/31209218 http://dx.doi.org/10.1038/s41597-019-0089-3 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files associated with this article.
spellingShingle Data Descriptor
Abel, Guy J.
Cohen, Joel E.
Bilateral international migration flow estimates for 200 countries
title Bilateral international migration flow estimates for 200 countries
title_full Bilateral international migration flow estimates for 200 countries
title_fullStr Bilateral international migration flow estimates for 200 countries
title_full_unstemmed Bilateral international migration flow estimates for 200 countries
title_short Bilateral international migration flow estimates for 200 countries
title_sort bilateral international migration flow estimates for 200 countries
topic Data Descriptor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6572777/
https://www.ncbi.nlm.nih.gov/pubmed/31209218
http://dx.doi.org/10.1038/s41597-019-0089-3
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