 
      LifeLossMOD: A microsimulation model of the economic impacts of premature mortality in Australia
    
      
        Cite  this article
        as: H. E Carter, D. J Schofield, R. Shrestha; 2014; LifeLossMOD: A microsimulation model of the economic impacts of premature mortality in Australia; International Journal of Microsimulation; 7(3); 33-52.
      doi: 10.34196/ijm.00106
      
  
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            Table 1
          
    
    
            Number of premature deaths in the 2003 mortality cohort by age and sex.
| Age Group | Male | Female | Total | 
|---|---|---|---|
| < 15 | 954 | 738 | 1,692 | 
| 15–24 | 1,028 | 370 | 1,398 | 
| 25–34 | 1,455 | 591 | 2,046 | 
| 35–44 | 2,259 | 1,246 | 3,505 | 
| 45–54 | 4,012 | 2,454 | 6,466 | 
| 55–64 | 7,549 | 4,468 | 12,062 | 
| 64–80 | 25,027 | 16,508 | 41,535 | 
| TOTAL | 42,329 | 26,375 | 68,704 | 
            Table 2
          
    
    
            Benchmark analyses (in %).
| Benchmark category | Proportion in aggregate Aust. mortality data | Proportion in LifeLossMOD * | Absolute difference in overall proportions | 
|---|---|---|---|
| Marital status | |||
| Never married | 18 | 26 | 7 | 
| Married | 52 | 50 | 2 | 
| Widowed | 16 | 17 | 1 | 
| Divorced | 11 | 7 | 3 | 
| Not stated | 3 | - | - | 
| State of usual residence | |||
| NSW | 35 | 36 | 1 | 
| Vic | 24 | 25 | 0 | 
| Qld | 18 | 18 | 0 | 
| SA | 9 | 8 | 1 | 
| WA | 9 | 9 | 0 | 
| Tas | 3 | 2 | 1 | 
| NT | 1 | 1 | 0 | 
| ACT | 1 | 2 | 0 | 
| Country of birth | |||
| Australia | 69 | 76 | 7 | 
| Overseas | 31 | 24 | 7 | 
- 
                        *Values represent the mean of 100 simulations. 
            Table 3
          
    
    
            Modelled estimates of working years lost between 2003 and 2030 due to all cause premature mortality in 2003.
| FTE working years lost by SEIFA quintile | ||||||
|---|---|---|---|---|---|---|
| Q1 | Q2 | Q3 | Q4 | Q5 | TOTAL | |
| Male 95% CI % of total male | ||||||
| 47,690 | 47,622 | 45,358 | 39,591 | 32,542 | 212,802 | |
| 46,713–48,816 | 46,759–48,630 | 44,287–46,288 | 38,771–40,456 | 31,620–33,379 | 210,693–214,826 | |
| 22% | 22% | 21% | 19% | 15% | 100% | |
| Female 95% CI % of total female | ||||||
| 14,199 | 14,947 | 14,221 | 12,732 | 11,408 | 67,506 | |
| 13,627–14,924 | 14,446–15,565 | 13,697–14,860 | 12,269–13,318 | 10,914–11,872 | 66,542–68,599 | |
| 21% | 22% | 21% | 19% | 17% | 100% | |
| Total 95% CI % of total cohort | ||||||
| 61,888 | 62,569 | 59,579 | 52,323 | 43,949 | 280,308 | |
| 60,577–63,294 | 61,452–63,686 | 58,186–60,858 | 51,468–53,307 | 42,906–44,897 | 278,151–282,547 | |
| 22% | 22% | 21% | 19% | 16% | 100% | |
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