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Trajectories of functional disability for the elderly in Britain

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  • French, Robert
  • Steele, Fiona

Abstract

This study uses an innovative approach to characterise trajectories of functional disability over the final stages of the life course. We use data from the British Household Panel Survey (BHPS), an annual household survey of all adults in a representative sample of British households from 1991-2008. The analysis focuses on the sub-sample of elderly household members who were aged from 65 to 74 in any of the 18 waves of data, with a final sample of 3,671 individuals contributing a total of 13,982 person years. As in previous research, we estimate latent growth curves, but extend the standard model to incorporate a measurement model for the latent outcome variable ‘functional disability’. We identify accelerating trajectories of functional disability for a representative sample of elderly individuals separately by gender. We show that socio-occupational classification is associated with the level of initial functional disability and to a less extent the change in functional disability with age. The contribution of this paper is to explore the use of a measurement model to exploit the variation between items in discriminatory power for identifying an individual’s functional disability. Further we are able to explicitly test for temporal measurement invariance in functional disability i.e. to what extent the items consistently measure the latent variable as people age.

Suggested Citation

  • French, Robert & Steele, Fiona, 2015. "Trajectories of functional disability for the elderly in Britain," LSE Research Online Documents on Economics 64899, London School of Economics and Political Science, LSE Library.
  • Handle: RePEc:ehl:lserod:64899
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    File URL: http://eprints.lse.ac.uk/64899/
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    References listed on IDEAS

    as
    1. Steele, Fiona, 2008. "Multilevel models for longitudinal data," LSE Research Online Documents on Economics 52203, London School of Economics and Political Science, LSE Library.
    2. Fiona Steele, 2008. "Multilevel models for longitudinal data," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 171(1), pages 5-19, January.
    3. Tania Burchardt, 2000. "The Dynamics of Being Disabled," CASE Papers case36, Centre for Analysis of Social Exclusion, LSE.
    4. Hélène Payette & N'Deye Rokhaya Gueye & Pierrette Gaudreau & José A. Morais & Bryna Shatenstein & Katherine Gray-Donald, 2011. "Trajectories of Physical Function Decline and Psychological Functioning: The Québec Longitudinal Study on Nutrition and Successful Aging (NuAge)," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 66(suppl_1), pages 82-90.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Ageing; Activities of daily living; Health trajectories; Britain; British Household Panel Survey (BHPS); Structural equation model (SEM); Growth model; Measurement model; Temporal measurement invariance;
    All these keywords.

    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General

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