|
|
| Research article summary (published 30 Dec 2001): |
Modelling student age-groups in the subnational population projections for England: an investigation into potential improvements.
Full Abstract
This article describes research aimed at improving modeling of student age-groups in the ONS subnational population projections for England. A number of data-sources were investigated, and the research focused on Higher Education Statistics Agency data. Although the coverage of HESA data is not sufficient to enable student populations to be projected separately, the data have been used to devise an adjustment method for the student-age population. Both the data and method will be monitored and, if appropriate, used in future projections.
Learn Faster Today Improve your study skills
Author information
Author/s: Horsfield, Giles (G); Wood, Jenny (J);
Journal and publication information
Publication Type: Journal Article
Journal: Population trends (Popul Trends), published in England. (Language: eng)
Reference: 2002-; vol (issue 110) : pp 7-18
Dates: Created 2003/01/15; Completed 2003/04/02; Revised 2004/11/17;
PMID: 12526289, status: MEDLINE (last retrieval date: 11/6/2008)
Sourced from the National Library of Medicine. Abstract text and other information may be subject to copyright.
External Links for this article (including full text providers, if available):
Click Electronic Full-text Provider Links to see options for finding the electronic full text links to this article. Note there may be a subscription or fee required for access to the full text. See our FAQ for information on finding FREE full text articles.
This article may also be located in paper journal collections available in many libraries. Use the Journal and Publication Information above to find the full article.
MeSH headings (categories)
This article was linked to the MESH Headings shown below.
|
Related articles
This article has not been indexed for related articles as yet, however you can still use the live related article search links below.
See a large map of 100+ related articles.