Table 5 ETS model information and parameter estimates with their error measures for Brazil
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 = 0.99; β = 0.00 | -0.00 | 0.26 | 0.21 | -0.11 | 2.58 | 0.93 | 0.18 |
Total Health Expenditure Per Capita ($PPP) | ETS(M,Ad,N) α = 0.98; β = 0.00 | -12.06 | 83.95 | 54.32 | -0.68 | 3.33 | 0.73 | -0.03 |
Government Health Expenditure Per Capita ($PPP) | ETS(A,A,N) α = 0.87; β = 0.00 | 0.00 | 0.05 | 0.04 | -0.11 | 2.50 | 0.84 | 0.00 |
Pre-Paid Private Health Expenditure Per Capita ($PPP) | ETS(A,A,N) α = 0.99; β = 0.00 | 0.00 | 0.05 | 0.03 | -0.09 | 1.46 | 0.93 | 0.12 |
Out-of-Pocket Health Expenditure Per Capita ($PPP) | ETS(A,A,N) α = 0.30; β = 0.00 | 0.00 | 0.07 | 0.05 | -0.14 | 2.40 | 0.79 | 0.29 |
Government Health Expenditure (% of CHE) | ETS(A,A,N) α = 0.66; β = 0.21 | -0.01 | 0.03 | 0.02 | 2.26 | 10.49 | 0.94 | -0.03 |
Pre-Paid Private Health Expenditure (% of CHE) | ETS(A,A,N) α = 0.39; β = 0.00 | 0.00 | 0.03 | 0.02 | -0.19 | 2.60 | 0.82 | 0.22 |
Out-of-Pocket Health Expenditure (% of CHE) | ETS(A,A,N) α = 0.00; β = 0.00 | -0.00 | 0.04 | 0.03 | -0.07 | 4.83 | 0.89 | 0.21 |