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Applying Relational Models to the Graduation of Disability Schedules
[Application de modèles relationnels pour le lissage de schémas d’incapacités]

Author

Listed:
  • Alan Marshall

    (The University of Manchester)

  • Paul Norman

    (The University of Leeds)

  • Ian Plewis

    (The University of Manchester)

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.

Suggested Citation

  • Alan Marshall & Paul Norman & Ian Plewis, 2013. "Applying Relational Models to the Graduation of Disability Schedules [Application de modèles relationnels pour le lissage de schémas d’incapacités]," European Journal of Population, Springer;European Association for Population Studies, vol. 29(4), pages 467-491, November.
    • Handle: RePEc:spr:eurpop:v:29:y:2013:i:4:d:10.1007_s10680-013-9300-y
    DOI: 10.1007/s10680-013-9300-y
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    References listed on IDEAS

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