Modelling the cost of ill health in Health&WealthMOD (Version II): Lost labour force participation, income and taxation, and the impact of disease prevention
- University of Sydney, Australia
- University of Canberra, Australia
- Northern Rivers University, Australia
Cite this article
as: D. Schofield, R. Shrestha, E. Callander, R. Pervical, S. Kelly, M. Passey, S. Fletcher; 2011; Modelling the cost of ill health in Health&WealthMOD (Version II): Lost labour force participation, income and taxation, and the impact of disease prevention; International Journal of Microsimulation; 4(3); 32-36.
doi: 10.34196/ijm.00058
Tables
Table 1
Percentage of SDAC records matched with the STINMOD records of different group in Health&WealthMOD (Version II).
| Variable | Total Number of records | Number of records matched with different group | Percentage of records matched with different group |
|---|---|---|---|
| Sex | 8,864 | 129 | 1.46% |
| Income Unit Type | 8,864 | 0 | 0.00% |
| Labour force status | 8,864 | 1 | 0.01% |
| Age group | 8,864 | 530 | 5.98% |
| Income quintile | 8,864 | 57 | 0.64% |
| Hours worked per week | 8,864 | 70 | 0.79% |
| Pension/benefit | 8,864 | 0 | 0.00% |
| Highest Education | 8,864 | 110 | 1.24% |
| Home ownership | 8,864 | 107 | 1.21% |
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