Table 9 ETS model information and parameter estimates with their error measures for South Africa
From: Future health expenditure in the BRICS countries: a forecasting analysis for 2035
Indicator | Method | ME | RMSE | MAE | MPE | MAPE | MASE | ACF1 |
|---|---|---|---|---|---|---|---|---|
Total Health Expenditure (% of GDP) | ETS(A,A,N) α = 0.94;β = 0.00 | 0.00 | 0.24 | 0.18 | -0.07 | 2.17 | 0.93 | 0.00 |
Total Health Expenditure Per Capita ($PPP) | ETS(A,A,N) α = 0.58;β = 0.56 | -1.45 | 26.67 | 20.66 | -0.14 | 2.20 | 0.73 | 0.03 |
Government Health Expenditure Per Capita ($PPP) | ETS(A,A,N) α = 0.96;β = 0.00 | 0.00 | 0.07 | 0.05 | -0.04 | 1.95 | 0.89 | 0.11 |
Pre-Paid Private Health Expenditure Per Capita ($PPP) | ETS(A,A,N) α = 0.99;β = 0.26 | 0.00 | 0.03 | 0.02 | 0.23 | 0.98 | 0.82 | 0.03 |
Out-of-Pocket Health Expenditure Per Capita ($PPP) | ETS(A,A,N) α = 0.00;β = 0.00 | 0.00 | 0.06 | 0.05 | -0.03 | 1.11 | 1.23 | 0.32 |
Government Health Expenditure (% of CHE) | ETS(A,Ad,N) α = 0.03;β = 0.03 | 0.01 | 0.05 | 0.04 | -4.16 | 15.39 | 0.84 | 0.05 |
Pre-Paid Private Health Expenditure (% of CHE) | ETS(A,A,N) α = 0.23;β = 0.00 | 0.00 | 0.05 | 0.04 | 18.14 | 56.39 | 1.16 | 0.27 |
Out-of-Pocket Health Expenditure (% of CHE) | ETS(A,Ad,N) α = 0.00;β = 0.00 | 0.00 | 0.06 | 0.05 | -0.18 | 1.98 | 0.84 | 0.32 |