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Integrated modelling of age and sex patterns of European migration

Age and sex patterns of migration are essential for understanding drivers of population change and heterogeneity of migrant groups. We develop a hierarchical Bayesian model to estimate such patterns for international migration in the European Union and European Free Trade Association from 2002 to 20...

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Detalles Bibliográficos
Autores principales: Wiśniowski, Arkadiusz, Forster, Jonathan J., Smith, Peter W. F., Bijak, Jakub, Raymer, James
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5053248/
https://www.ncbi.nlm.nih.gov/pubmed/27773971
http://dx.doi.org/10.1111/rssa.12177
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author Wiśniowski, Arkadiusz
Forster, Jonathan J.
Smith, Peter W. F.
Bijak, Jakub
Raymer, James
author_facet Wiśniowski, Arkadiusz
Forster, Jonathan J.
Smith, Peter W. F.
Bijak, Jakub
Raymer, James
author_sort Wiśniowski, Arkadiusz
collection PubMed
description Age and sex patterns of migration are essential for understanding drivers of population change and heterogeneity of migrant groups. We develop a hierarchical Bayesian model to estimate such patterns for international migration in the European Union and European Free Trade Association from 2002 to 2008, which was a period of time when the number of members expanded from 19 to 31 countries. Our model corrects for the inadequacies and inconsistencies in the available data and estimates the missing patterns. The posterior distributions of the age and sex profiles are then combined with a matrix of origin–destination flows, resulting in a synthetic database with measures of uncertainty for migration flows and other model parameters.
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spelling pubmed-50532482016-10-19 Integrated modelling of age and sex patterns of European migration Wiśniowski, Arkadiusz Forster, Jonathan J. Smith, Peter W. F. Bijak, Jakub Raymer, James J R Stat Soc Ser A Stat Soc Original Articles Age and sex patterns of migration are essential for understanding drivers of population change and heterogeneity of migrant groups. We develop a hierarchical Bayesian model to estimate such patterns for international migration in the European Union and European Free Trade Association from 2002 to 2008, which was a period of time when the number of members expanded from 19 to 31 countries. Our model corrects for the inadequacies and inconsistencies in the available data and estimates the missing patterns. The posterior distributions of the age and sex profiles are then combined with a matrix of origin–destination flows, resulting in a synthetic database with measures of uncertainty for migration flows and other model parameters. John Wiley and Sons Inc. 2016-01-22 2016-10 /pmc/articles/PMC5053248/ /pubmed/27773971 http://dx.doi.org/10.1111/rssa.12177 Text en © 2016 The Authors Journal of the Royal Statistical Society: Series A (Statistics in Society) Published by John Wiley & Sons Ltd on behalf of the Royal Statistical Society. This is an open access article under the terms of the Creative Commons Attribution (http://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Articles
Wiśniowski, Arkadiusz
Forster, Jonathan J.
Smith, Peter W. F.
Bijak, Jakub
Raymer, James
Integrated modelling of age and sex patterns of European migration
title Integrated modelling of age and sex patterns of European migration
title_full Integrated modelling of age and sex patterns of European migration
title_fullStr Integrated modelling of age and sex patterns of European migration
title_full_unstemmed Integrated modelling of age and sex patterns of European migration
title_short Integrated modelling of age and sex patterns of European migration
title_sort integrated modelling of age and sex patterns of european migration
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5053248/
https://www.ncbi.nlm.nih.gov/pubmed/27773971
http://dx.doi.org/10.1111/rssa.12177
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