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. 2013 Jun 17;11:27. doi: 10.1186/1478-4491-11-27

Table 3.

Transfer function models from the first period 1961 to 1982

Dependent variable (labels and name) Potential predictors in start model (name only) Significant predictors in final model (name only) Model type Stationary R2 Number of outliers Q-stat (P value) Z-stat (P value)
Physicians (y1)
x1, x2, x3, x4,x5, x6
x2
TF (0,1,0)
0.63
0
1.52 (0.96)
0.81 (0.52)
Nurses (y2)
y1, x1,x2, x3,x4, x5, x6
none
ARIMA (0,2,0)
0.76
1
4.67 (0.59)
0.93 (0.35)
Inpatient care discharges (x3)
y1, y2,x1, x2,x4, x5, x6
none
ARIMA (0,1,0)
0.96
3
8.30 (0.22)
0.89 (0.40)
Outpatient care visits (x4)
y1, y2,x1, x2,x3, x5, x6
y1
TF (0,1,0)
0.61
0
6.00 (0.42)
0.70 (0.72)
Students enrolled in the first year of studies (x5)
y1, y2,x1, x2,x3, x4, x5, x6
x6
TF (0,1,0)
0.98
4
0.60 (0.99)
0.55 (0.92)
Graduated medical doctors (x6) y1, y2, x1, x2, x3, x4, x5, x6 none ARIMA (0,1,0) 0.85 3 3.85 (0.70) 0.84 (0.48)

Legend: stationary R2 - measure of goodness of fit of model. Range is from negative infinity to 1; Q-stat - is Ljung-Box Q statistics that test the null hypotheses of no autocorrelation in residual series; Z-stat - is Kolmogorov-Smirnov statistics that test the null hypotheses of normal distribution of residual series.