Marshall, A, Norman, P and Plewis, I (2013) Applying relational models to the graduation of disability schedules. European Journal of Population, 29 (4). 467 - 491. ISSN 0168-6577
Abstract
Age-specific rates of particular disability types are important for planning purposes and are a valuable input to estimates and projections of populations with different disabilities. However, survey estimates of schedules of disability rates display evidence of sampling variability and sub-national disability schedules are often unavailable for reasons of disclosure protection. This paper develops and evaluates a method to smooth sampling variability in national schedules of disability using a technique that has applicability to sub-national estimation of age-specific disability rates. Relational models are used to adjust the limiting long-term illness schedule for England (Census 2001) to represent different disability schedules (Health Survey for England 2000/2001) smoothing sampling fluctuations. For hearing disability a simple Brass relational model involving two parameters provides a good fit. For other disability types a modified version of the Ewbank relational model with three parameters is required. This paper illustrates that relational models can accurately capture the relationship between age-specific rates of limiting long-term illness and various disability types.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | (c) 2013, Springer Science+Business Media Dordrecht. This is an author produced version of a paper published in European Journal of Population. Uploaded in accordance with the publisher's self-archiving policy. The final publication is available at Springer via http://dx.doi.org/10.1007/s10680-013-9300-y |
Keywords: | Disability; Estimation; Limiting long term illness; Relational model; Schedules |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Environment (Leeds) > School of Geography (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 06 Jan 2015 11:57 |
Last Modified: | 21 Apr 2015 22:41 |
Published Version: | http://dx.doi.org/10.1007/s10680-013-9300-y |
Status: | Published |
Publisher: | Springer Verlag |
Identification Number: | 10.1007/s10680-013-9300-y |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:81742 |