Schofield, Deborah, Shrestha, Rupendra, Kelly, Simon, Veerman, Lennert, Tanton, Robert, Passey, Megan, Vos, Theo, Cunich, Michelle, and Callander, Emily (2014) Health&WealthMOD2030: a microsimulation model of the long term economic impacts of disease leading to premature retirements of Australians aged 45-64 years old. The International Journal of Microsimulation, 7 (2). pp. 94-118.

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Abstract

Policymakers in Australia, like in most OECD countries, have recognised the importance of early retirement due to ill health on individuals and families, as well as on the budget balance when planning for the health needs of an ageing population. In order to understand these effects, a unique microsimulation model, called Health&WealthMOD2030, was built to estimate the impacts of early retirement due to ill health on labour force participation, personal and household income, economic hardship (poverty), and government taxation revenue, spending and GDP in the years 2010, 2015, 2020, 2025 and 2030. This paper describes the construction of Health&WealthMOD2030. The model cap tures the long term projections of demographic change, changing labour force participation patterns, real wages growth and trends in major illnesses affecting the older working age population. The base population of Health&WealthMOD2030 are the individuals aged 45-64 years with information on their workforce status and health from the Australian Bureau of Statistics' Surveys of Disability, Ageing and Carers (SDAC) 2003 and 2009. Projected estimates of income, taxation, income support payments, savings and superannuation from the National Centre for Social and Economic Modelling (NATSEM's) dynamic microsimulation model Australian Population and Policy Simulation Model (APPSIM) were synthetically matched with the base population. Health&WealthMOD2030 project forward the economic impacts of early retirement from ill health to 2030. This will fill substantial gaps in the current Australian evidence of health conditions that will keep older working age Australians out of the labour market over the long-term.

Item ID:	41185
Item Type:	Article (Research - C1)
ISSN:	1747-5864
Keywords:	microsimulation; modelling; economic modelling; chronic health conditions; costs of illness
Additional Information:	Article is available free of charge from publisher's website.
Funders:	Australian Research Council (ARC), Pfizer, National Health and Medical Research Council of Australia (NHMRC)
Projects and Grants:	ARC LP100100158, NHMRC APP1052742
Date Deposited:	05 Nov 2015 03:53
FoR Codes:	14 ECONOMICS > 1402 Applied Economics > 140208 Health Economics @ 100%
SEO Codes:	91 ECONOMIC FRAMEWORK > 9102 Microeconomics > 910209 Preference, Behaviour and Welfare @ 50% 92 HEALTH > 9204 Public Health (excl. Specific Population Health) > 920408 Health Status (e.g. Indicators of Well-Being) @ 50%
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