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Data on some socio-economic parameters explaining the movement of extra-EU asylum seekers in Europe

This article contains data concerning the movement of extra-EU asylum seekers in Europe. Data used in this paper were collected from the Eurostat database and the UNHCR database. The data consist of some socio-economic features related to 30 European countries where extra-EU asylum seekers have appl...

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Autor principal: Angeloni, Silvia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5121136/
https://www.ncbi.nlm.nih.gov/pubmed/27896303
http://dx.doi.org/10.1016/j.dib.2016.11.017
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author Angeloni, Silvia
author_facet Angeloni, Silvia
author_sort Angeloni, Silvia
collection PubMed
description This article contains data concerning the movement of extra-EU asylum seekers in Europe. Data used in this paper were collected from the Eurostat database and the UNHCR database. The data consist of some socio-economic features related to 30 European countries where extra-EU asylum seekers have applied for protection. All variables were transformed into their natural logs. The degree of statistical correlation is evaluated from Pearson׳s coefficient, using the 0.05 level of significance. Regression analysis is conducted to identify some socio-economic predictors of countries attracting asylum migration. Six models are presented, where ‘first time asylum applicants’ in 2015 (1,324,215 individuals) in 30 European countries were regressed on 2014 predictors. The multilinear regression model was tested by using data on asylum seekers in 2014, regressed on the same predictors referred to 2013. The data here shared provide a resource for researchers working in the topical field of migration.
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spelling pubmed-51211362016-11-28 Data on some socio-economic parameters explaining the movement of extra-EU asylum seekers in Europe Angeloni, Silvia Data Brief Data Article This article contains data concerning the movement of extra-EU asylum seekers in Europe. Data used in this paper were collected from the Eurostat database and the UNHCR database. The data consist of some socio-economic features related to 30 European countries where extra-EU asylum seekers have applied for protection. All variables were transformed into their natural logs. The degree of statistical correlation is evaluated from Pearson׳s coefficient, using the 0.05 level of significance. Regression analysis is conducted to identify some socio-economic predictors of countries attracting asylum migration. Six models are presented, where ‘first time asylum applicants’ in 2015 (1,324,215 individuals) in 30 European countries were regressed on 2014 predictors. The multilinear regression model was tested by using data on asylum seekers in 2014, regressed on the same predictors referred to 2013. The data here shared provide a resource for researchers working in the topical field of migration. Elsevier 2016-11-09 /pmc/articles/PMC5121136/ /pubmed/27896303 http://dx.doi.org/10.1016/j.dib.2016.11.017 Text en © 2016 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Data Article
Angeloni, Silvia
Data on some socio-economic parameters explaining the movement of extra-EU asylum seekers in Europe
title Data on some socio-economic parameters explaining the movement of extra-EU asylum seekers in Europe
title_full Data on some socio-economic parameters explaining the movement of extra-EU asylum seekers in Europe
title_fullStr Data on some socio-economic parameters explaining the movement of extra-EU asylum seekers in Europe
title_full_unstemmed Data on some socio-economic parameters explaining the movement of extra-EU asylum seekers in Europe
title_short Data on some socio-economic parameters explaining the movement of extra-EU asylum seekers in Europe
title_sort data on some socio-economic parameters explaining the movement of extra-eu asylum seekers in europe
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5121136/
https://www.ncbi.nlm.nih.gov/pubmed/27896303
http://dx.doi.org/10.1016/j.dib.2016.11.017
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