请问ECM模型如何作residuals和 actual and fitted values 的图?

stata小白一枚。各位大神麻烦帮忙看看我的dissertation,这是我的equation:% Ch. PGt = α + β1(% Ch. PGt-1) + β2(% Ch. PGt-2) + β3(US Inflation) + β4(% Ch. Ex Ratet) + β5(Ch. Real Ratet) + β6(Ch. Default Premiumt-1) + β7(Ch in growth rate of US monetary baset) + γECMt-1 + Time Dummies

我的最终reg 码为:

reg DLPG DLPG1 DLPG2 DLIFLT DLFX DLRI DLDP DLMB ecm

      Source |       SS           df       MS      Number of obs   =       265
-------------+----------------------------------   F(8, 256)       =     10.59
       Model |  .094358119         8  .011794765   Prob > F        =    0.0000
    Residual |  .285185155       256  .001114005   R-squared       =    0.2486
-------------+----------------------------------   Adj R-squared   =    0.2251
       Total |  .379543274       264  .001437664   Root MSE        =    .03338

------------------------------------------------------------------------------
        DLPG |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       DLPG1 |   .0735098    .055596     1.32   0.187    -.0359739    .1829934
       DLPG2 |  -.0995854   .0557868    -1.79   0.075    -.2094448    .0102741
      DLIFLT |    .019781   .0088972     2.22   0.027     .0022601     .037302
        DLFX |  -1.081626   .1305582    -8.28   0.000     -1.33873   -.8245207
        DLRI |  -.0206274   .0145674    -1.42   0.158    -.0493146    .0080599
        DLDP |   .0156559   .0269499     0.58   0.562    -.0374158    .0687276
        DLMB |  -.0295993   .0752841    -0.39   0.695    -.1778544    .1186558
         ecm |  -.0001953   .0039112    -0.05   0.960    -.0078975    .0075069
       _cons |   .0056203    .008372     0.67   0.503    -.0108664     .022107
------------------------------------------------------------------------------

请问这个有包含time dummies吗?
最终回归后的图形又如何作?这个α是哪个数据呀?
我是跟着Oxford economic report(2011)来做的,他的最终数据里还有:
S.D. dependent var 
S.E. of regression
Akaike ubfi criteria 
Sum squared resid 
Schwartz criteria 
Log likelihood 
Hannan-Quinn criteria
Durbin-Watson statistic 
请问这些数据又该怎么得到呢?