第一个方程的估计结果如下：
GDP=-173.5856662-0.04939825085*M2+1.669297466*CONS+0.9407073699*I
继续估计第二个方程：
依次单击quick→estimate equation→method→勾选TSLS。输入： m2=c(5)+c(6)*gdp+c(7)*p cons i p
得到下列结果：
Dependent Variable: M2
Method: Two-Stage Least Squares Date: 12/1111 Time: 12:45 Sample: 1 18
Included observations: 18 M2=C(5)+C(6)*GDP+C(7)*P Instrument list: CONS I P
C(5) C(6) C(7)
R-squared Adjusted R-squared S.E. of regression Durbin-Watson stat
Coefficient 1986.222 1.809611 -146.9316
Std. Error 14474.53 0.063122 62.85453
t-Statistic 0.137222 28.66846 -2.337646
Prob. 0.8927 0.0000 0.0337 144174.3 117812.4 1.82E+09
0.992274 Mean dependent var 0.991244 S.D. dependent var 11023.89 Sum squared resid 0.389408
第二个方程的估计结果如下：
M2=1986.221751+1.809610829*GDP-146.9316416*P
综上所述：该联立方程最终结果为：
GDP=-173.5856662-0.04939825085*M2+1.669297466*CONS+0.9407073699*I M2=1986.221751+1.809610829*GDP-146.9316416*P
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