1. Methodology
  2. Dynamic microsimulation
  3. Demography
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Validating a dynamic population microsimulation model: Recent experience in Australia

  1. Ann Harding  Is a corresponding author
  2. Marcia Keegan
  3. Simon Kelly
  1. University of Canberra, Australia
Research article
Cite this article as: A. Harding, M. Keegan, S. Kelly; 2010; Validating a dynamic population microsimulation model: Recent experience in Australia; International Journal of Microsimulation; 3(2); 46-64. doi: 10.34196/ijm.00038
8 figures

Figures

Output structure of a typical discrete time dynamic population microsimulation model.
Outline of the processes simulated in APPSIM/2010A.
Extract from APPSIM ‘everyone output’ for Year t.
Sample labour force output from APPSIM’s automatically generated summary statistics report.

Note: the labour force output here is unaligned. The black dotted lines are labour force projections from a 2005 Productivity Commission report.

Percentage of people who are retired, age 55–74, APPSIM and HILDA 2006, by age and sex.

Source: APPSIM simulations, HILDA 2006.

Labour force states of men in 2047, APPSIM and treasury projections.

Source: Treasury (2007) and APPSIM simulations.

Labour force transitions in HILDA and APPSIM, 2004–2005.

Source: HILDA, APPSIM calculations.

Distribution of years spent in labour force by sex, 65–70 year olds in 2051.

Source: APPSIM simulations.

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