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Article: Estimation of international migration flow tables in Europe

TitleEstimation of international migration flow tables in Europe
Authors
KeywordsConstrained optimization
Flow tables
International migration
Migration estimation
Negative binomial regression
Supplemented expectation-maximization algorithm
Issue Date2010
Citation
Journal of the Royal Statistical Society. Series A: Statistics in Society, 2010, v. 173, n. 4, p. 797-825 How to Cite?
AbstractA methodology is developed to estimate comparable international migration flows between a set of countries. International migration flow data may be missing, reported by the sending country, reported by the receiving country or reported by both the sending and the receiving countries. For the last situation, reported counts rarely match owing to differences in definitions and data collection systems. We report counts harmonized by using correction factors estimated from a constrained optimization procedure. Factors are applied to scale data that are known to be of a reliable standard, creating an incomplete migration flow table of harmonized values. Cells for which no reliable reported flows exist are then estimated from a negative binomial regression model fitted by using an expectation-maximization (EM) type of algorithm. Covariate information for this model is drawn from international migration theory. Finally, measures of precision for all missing cell estimates are derived by using the supplemented EM algorithm. Recent data on international migration between countries in Europe are used to illustrate the methodology. The results represent a complete table of comparable flows which can be used by regional policy makers and social scientists to understand population behaviour and change better. © 2010 Royal Statistical Society.
Persistent Identifierhttp://hdl.handle.net/10722/334220
ISSN
2023 Impact Factor: 1.5
2023 SCImago Journal Rankings: 0.775
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorAbel, Guy J.-
dc.date.accessioned2023-10-20T06:46:35Z-
dc.date.available2023-10-20T06:46:35Z-
dc.date.issued2010-
dc.identifier.citationJournal of the Royal Statistical Society. Series A: Statistics in Society, 2010, v. 173, n. 4, p. 797-825-
dc.identifier.issn0964-1998-
dc.identifier.urihttp://hdl.handle.net/10722/334220-
dc.description.abstractA methodology is developed to estimate comparable international migration flows between a set of countries. International migration flow data may be missing, reported by the sending country, reported by the receiving country or reported by both the sending and the receiving countries. For the last situation, reported counts rarely match owing to differences in definitions and data collection systems. We report counts harmonized by using correction factors estimated from a constrained optimization procedure. Factors are applied to scale data that are known to be of a reliable standard, creating an incomplete migration flow table of harmonized values. Cells for which no reliable reported flows exist are then estimated from a negative binomial regression model fitted by using an expectation-maximization (EM) type of algorithm. Covariate information for this model is drawn from international migration theory. Finally, measures of precision for all missing cell estimates are derived by using the supplemented EM algorithm. Recent data on international migration between countries in Europe are used to illustrate the methodology. The results represent a complete table of comparable flows which can be used by regional policy makers and social scientists to understand population behaviour and change better. © 2010 Royal Statistical Society.-
dc.languageeng-
dc.relation.ispartofJournal of the Royal Statistical Society. Series A: Statistics in Society-
dc.subjectConstrained optimization-
dc.subjectFlow tables-
dc.subjectInternational migration-
dc.subjectMigration estimation-
dc.subjectNegative binomial regression-
dc.subjectSupplemented expectation-maximization algorithm-
dc.titleEstimation of international migration flow tables in Europe-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1111/j.1467-985X.2009.00636.x-
dc.identifier.scopuseid_2-s2.0-77956858139-
dc.identifier.volume173-
dc.identifier.issue4-
dc.identifier.spage797-
dc.identifier.epage825-
dc.identifier.eissn1467-985X-
dc.identifier.isiWOS:000282051900007-

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