Care&WorkMOD: An Australian microsimulation model projecting the economic impacts of early retirement in informal carers

Rupendra Shrestha, Deborah Schofield, Melanie J. B. Zeppel, Michelle Cunich, Robert Tanton, Simon J. Kelly, Lennert Veerman, Megan E. Passey

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)


We developed a microsimulation model, Care&WorkMOD, to estimate theeconomic costs of early exit from the labour force, both for informal carers and the government,from 2015 to 2030. In this paper, we describe the methods used to create the modelCare&WorkMOD, and the sources of data and model assumptions. Care&WorkMOD is based onthe unit record data of people aged 15-64 years in the three Australian Bureau of Statistics (ABS)Surveys of Disability, Ageing and Carers (SDAC) 2003, 2009 and 2012. Population and the labourforce projections from the 2015 Intergenerational Report and the outputs of an Australianmicrosimulation model APPSIM were used for the static aging of the base data to every five yearsfrom 2015 to 2030. The 2015 output dataset of another microsimulation model STINMOD waslinked with Care&WorkMOD base data using synthetic matching. The matching process has addeddata on further economic variables from STINMOD into Care&WorkMOD, which are notavailable in SDACs. Economic data were indexed based on long-term trends on economic variablesto capture the projected economic growth from 2015 to 2030. Care&WorkMOD can provide thelong-term estimates of the lost labour productivity due to informal caring responsibilities and therelated economic burden both at the individual and national level, and has the potential to “fill thegaps” in the current body of evidence on the costs of chronic diseases, particularly related toinformal carers.
Original languageEnglish
Pages (from-to)78-99
Number of pages22
JournalInternational Journal of Microsimulation
Issue number3
Publication statusPublished - 2018


  • informal carers
  • lost productive life years
  • early retirement
  • economic impacts


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