Skip to main content

Table 6 Estimates with their standard errors of the ARIMA models for the years 1995 to 2017 for China

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(0,2,0) ARIMA(0,1,0) ARIMA(0,2,0) ARIMA(0,2,0) ARIMA(0,2,1) ARIMA(1,1,1) ARIMA(0,2,0) ARIMA(0,2,1)
Estimates (SE)   Drift = 0.06 (0.03)    MA1 = −0.37(0.19) AR1 = 0.88 (0.08)
MA1 = 0.45(0.25)
  MA1 = −0.49 (0.23)
  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