诸位大神,虽然知道类似的求助帖不少了,但是仍旧一知半解中,我做的模型是多元回归模型,解释变量有6个(原先有9个,已用SPSS剔除过3个),因为找了大量的指标检验数据,所以这6个解释变量和被解释数据都是一阶单整,并且模型已经剔除了多重共线性,不存在异方差,自相关用DW值无法判断,但是用图形法可以比较直观的看出是不具体有自相关的,完全是使用各大数据库的数据,不存在修改数据和检验结果的事儿,数据质量就是这么好。但是用Johansen做估计有点儿看不懂结果了,请大神们指点:
Date: 04/11/13 Time: 12:44
Sample (adjusted): 2008M03 2012M12
Included observations: 58 after adjustments
Trend assumption: Linear deterministic trend
Series: CO2 LA2 LA3 LE1 LE2 LE3 Y
Lags interval (in first differences): 1 to 1
Unrestricted Cointegration Rank Test (Trace)
Hypothesized Trace 0.05
No. of CE(s) Eigenvalue Statistic Critical Value Prob.**
None * 0.727512 196.6301 125.6154 0.0000
At most 1 * 0.519476 121.2207 95.75366 0.0003
At most 2 * 0.465858 78.71378 69.81889 0.0082
At most 3 0.278744 42.34233 47.85613 0.1494
At most 4 0.222390 23.39017 29.79707 0.2274
At most 5 0.138866 8.801439 15.49471 0.3841
At most 6 0.002242 0.130167 3.841466 0.7183
Trace test indicates 3 cointegrating eqn(s) at the 0.05 level
* denotes rejection of the hypothesis at the 0.05 level
**MacKinnon-Haug-Michelis (1999) p-values
Unrestricted Cointegration Rank Test (Maximum Eigenvalue)
Hypothesized Max-Eigen 0.05
No. of CE(s) Eigenvalue Statistic Critical Value Prob.**
None * 0.727512 75.40934 46.23142 0.0000
At most 1 * 0.519476 42.50694 40.07757 0.0261
At most 2 * 0.465858 36.37144 33.87687 0.0247
At most 3 0.278744 18.95216 27.58434 0.4182
At most 4 0.222390 14.58873 21.13162 0.3188
At most 5 0.138866 8.671272 14.26460 0.3145
At most 6 0.002242 0.130167 3.841466 0.7183
Max-eigenvalue test indicates 3 cointegrating eqn(s) at the 0.05 level
* denotes rejection of the hypothesis at the 0.05 level
**MacKinnon-Haug-Michelis (1999) p-values
Unrestricted Cointegrating Coefficients (normalized by b'*S11*b=I):