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Dynamic Modelling of Ageing and Health: The Dynopta Microsimulation Model

Author

Listed:
  • Laurie Brown

    (NATSEM, University of Canberra)

  • Binod Nepal

    (NATSEM, University of Canberra)

  • Heather Booth

    (Australian Demographic and Social Research Institute, ANU)

  • Sophie Pennec

    (INED, Paris, France)

  • Kaarin Anstey

    (Centre for Mental Health Research, ANU)

  • Ann Harding

    (NATSEM, University of Canberra)

Abstract

This paper describes the design of a dynamic microsimulation model being built as part of the DYNOPTA (Dynamic Analyses to Optimize Ageing) Project. The model aims to establish a demographic modelling infrastructure to simulate the health outcomes of Australia's baby boomer and aged cohorts and to examine the impacts of possible social and medical interventions to compress morbidity and optimise ageing in Australia over the next 30 years. The DYNOPTA microsimulation model is founded on a pooled dataset which combines data from nine Australian Longitudinal Studies of Ageing. The pooled dataset is being used to inform the base file; identify key incidence and prevalence rates; examine risk and protective factors for health outcomes; and estimate disease pathways and transition rates. The modelling focuses on four conditions that contribute to burden of disease and quality of life in the aged - cognitive decline and dementia, sensory impairment, impairment in mobility, and depression. The microsimulation modelling is underpinned by a life course approach to development and ageing that recognises interdependencies among demographic, social, economic and health factors. The base population comprises individuals aged 45 years and over in 1996. The number of individuals in various states of disability, and the length of time spent in these states prior to death, will be modelled over the 30-year simulation period. Once built, the model will provide a new and innovative means of directly informing health promotion policy on the aged in Australia

Suggested Citation

  • Laurie Brown & Binod Nepal & Heather Booth & Sophie Pennec & Kaarin Anstey & Ann Harding, 2011. "Dynamic Modelling of Ageing and Health: The Dynopta Microsimulation Model," NATSEM Working Paper Series 11/14, University of Canberra, National Centre for Social and Economic Modelling.
    • Handle: RePEc:cba:wpaper:wp1114
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    File URL: http://www.natsem.canberra.edu.au/files/download?id=733
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    References listed on IDEAS

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    Cited by:

    1. GENEVOIS Anne-Sophie & LIEGEOIS Philippe & PI ALPERIN Maria Noel, 2019. "DyMH_LU: a simple tool for modelling and simulating the health status of the Luxembourgish elderly in the longer run," LISER Working Paper Series 2019-06, Luxembourg Institute of Socio-Economic Research (LISER).
    2. Tony Lawson, 2016. "How the Ageing Population Contributes to UK Economic Activity: A Microsimulation Analysis," Scottish Journal of Political Economy, Scottish Economic Society, vol. 63(5), pages 497-518, November.

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