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Methodology for the estimation of annual population stocks by citizenship group, age and sex in the EU and EFTA countries

Record type: Article

The paper addresses selected computational issues related to the challenge of dealing with poor statistics on international migration. Partial results of the on-going Eurostat-funded project on “Modelling of statistical data on migration and migrant population” (MIMOSA) are presented. The focus is on the data on population stocks by broad group of citizenship, sex and age. After a brief overview of the main problems with data on population by citizenship for 31 European countries (27 European Union countries, Iceland, Liechtenstein, Norway and Switzerland), a range of computational methods is proposed
including cohort-wise interpolation, cohort-component projections, cohort-wise weights propagation and proportional fitting methods, as well as other, auxiliary methods. The algorithm for choosing the best method for estimating missing data on population stock by broad citizenship (nationals, foreigners – EU27 citizens, foreigners – non EU27 citizens), five-year age group (up to 85+) and sex on 1st January 2002–2006 is proposed and illustrated by examples of its application for selected countries.

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Citation

Bijak, Jakub and Kupiszewska, Dorota (2008) Methodology for the estimation of annual population stocks by citizenship group, age and sex in the EU and EFTA countries Informatica (Ljubljana), 32, (2), pp. 133-145.

More information

Published date: 2008

Identifiers

Local EPrints ID: 150513
URI: http://eprints.soton.ac.uk/id/eprint/150513
ISSN: 0350-5596
PURE UUID: 7e214f44-f69f-4a7f-98dc-0e68aa608ed1
ORCID for Jakub Bijak: ORCID iD orcid.org/0000-0002-2563-5040

Catalogue record

Date deposited: 05 May 2010 14:21
Last modified: 18 Jul 2017 19:18

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Contributors

Author: Jakub Bijak ORCID iD
Author: Dorota Kupiszewska

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