File Download
There are no files associated with this item.
Links for fulltext
(May Require Subscription)
- Publisher Website: 10.1111/j.1467-985X.2009.00636.x
- Scopus: eid_2-s2.0-77956858139
- WOS: WOS:000282051900007
- Find via
Supplementary
- Citations:
- Appears in Collections:
Article: Estimation of international migration flow tables in Europe
Title | Estimation of international migration flow tables in Europe |
---|---|
Authors | |
Keywords | Constrained optimization Flow tables International migration Migration estimation Negative binomial regression Supplemented expectation-maximization algorithm |
Issue Date | 2010 |
Citation | Journal of the Royal Statistical Society. Series A: Statistics in Society, 2010, v. 173, n. 4, p. 797-825 How to Cite? |
Abstract | A 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 Identifier | http://hdl.handle.net/10722/334220 |
ISSN | 2023 Impact Factor: 1.5 2023 SCImago Journal Rankings: 0.775 |
ISI Accession Number ID |
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Abel, Guy J. | - |
dc.date.accessioned | 2023-10-20T06:46:35Z | - |
dc.date.available | 2023-10-20T06:46:35Z | - |
dc.date.issued | 2010 | - |
dc.identifier.citation | Journal of the Royal Statistical Society. Series A: Statistics in Society, 2010, v. 173, n. 4, p. 797-825 | - |
dc.identifier.issn | 0964-1998 | - |
dc.identifier.uri | http://hdl.handle.net/10722/334220 | - |
dc.description.abstract | A 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.language | eng | - |
dc.relation.ispartof | Journal of the Royal Statistical Society. Series A: Statistics in Society | - |
dc.subject | Constrained optimization | - |
dc.subject | Flow tables | - |
dc.subject | International migration | - |
dc.subject | Migration estimation | - |
dc.subject | Negative binomial regression | - |
dc.subject | Supplemented expectation-maximization algorithm | - |
dc.title | Estimation of international migration flow tables in Europe | - |
dc.type | Article | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1111/j.1467-985X.2009.00636.x | - |
dc.identifier.scopus | eid_2-s2.0-77956858139 | - |
dc.identifier.volume | 173 | - |
dc.identifier.issue | 4 | - |
dc.identifier.spage | 797 | - |
dc.identifier.epage | 825 | - |
dc.identifier.eissn | 1467-985X | - |
dc.identifier.isi | WOS:000282051900007 | - |