Applying Relational Models to the Graduation of Disability Schedules

Application de modèles relationnels pour le lissage de schémas d’incapacités

Alan Marshall (), Paul Norman and Ian Plewis
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Alan Marshall: The University of Manchester
Paul Norman: The University of Leeds
Ian Plewis: The University of Manchester

European Journal of Population, 2013, vol. 29, issue 4, No 5, 467-491

Abstract: 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.

Keywords: Relational model; Disability; Limiting long term illness; Estimation; Schedules; Modèle relationnel; Incapacité; Maladies incapacitantes de longue durée; Estimation; Schéma (search for similar items in EconPapers)
Date: 2013
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DOI: 10.1007/s10680-013-9300-y

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