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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