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Table 5 Parameter estimates with their standard errors of the ARIMA(p,d,q) models for the years 1995 to 2017 for Brazil

From: Future health spending forecast in leading emerging BRICS markets in 2030: health policy implications

  Health
spending
per capita ($)
Health
spending
per GDP (%)
Source of health spending Share of health spending
    Government
spending
per capita ($)
Prepaid
private spending
per capita ($)
Out-of-pocket spending per capita ($) Government
spending as share of total (%)
Prepaid
private spending as
share of total (%)
Out-of-pocket spending as share of total (%)
Model ARIMA(0,1,0) ARIMA(1,0,0) ARIMA(0,1,0) ARIMA(0,2,1) ARIMA(0,0,1) ARIMA(1,1,0) ARIMA(0,2,1) ARIMA(0,1,)
Estimates (SE) Drift = 22.4 (5.3) AR1 = 0.85 (0.13)
Mean = 8.3 (0.29)
Drift = 9.82 (2.92) MA1 = −0.77 (0.12) MA1 = 0.69 (0.17) AR1 = 0.55 (0.18) MA1 = −0.50 (0.22) Drift = −0.53 (0.09
  1. ARIMA(p,d,q): Autoregressive integrated moving average model and (p,d,q) are the autoregressive order, the degree of differencing and the moving average order
  2. SE: standard error
  3. AR: Autoregressive parameter
  4. MA: Moving average parameter