Vector Error Correction Estimates  
Date: 01/22/13   Time: 14:30  
Sample (adjusted): 1989 2009  
Included observations: 21 after adjustments  
Standard errors in ( ) & t-statistics in [ ]  
  
Cointegrating Eq:  CointEq1
  
LNXIAOFEI(-1)  1.000000
  
LNGUIMO(-1) -1.928213
  (0.16489)
[-11.6940]
  
C -6.453420
  
Error Correction: D(LNXIAOFEI) D(LNGUIMO)
  
CointEq1 -0.148357  0.159198
  (0.04293)  (0.12171)
[-3.45606] [ 1.30799]
  
D(LNXIAOFEI(-1))  0.826820 -1.103604
  (0.21663)  (0.61422)
[ 3.81671] [-1.79674]
  
D(LNXIAOFEI(-2))  0.158371 -0.025564
  (0.22996)  (0.65202)
[ 0.68868] [-0.03921]
  
D(LNGUIMO(-1)) -0.016314 -0.334277
  (0.12751)  (0.36152)
[-0.12795] [-0.92464]
  
D(LNGUIMO(-2))  0.151045 -0.134641
  (0.10266)  (0.29107)
[ 1.47134] [-0.46257]
  
C -0.009809  0.198684
  (0.02746)  (0.07785)
[-0.35723] [ 2.55205]
  
R-squared  0.852213  0.457051
Adj. R-squared  0.802951  0.276068
Sum sq. resids  0.016847  0.135433
S.E. equation  0.033513  0.095020
F-statistic  17.29949  2.525379
Log likelihood  45.04756  23.16217
Akaike AIC -3.718815 -1.634493
Schwarz SC -3.420380 -1.336058
Mean dependent  0.101219  0.056459
S.D. dependent  0.075496  0.111678
  
Determinant resid covariance (dof adj.)   8.51E-06
Determinant resid covariance   4.34E-06
Log likelihood   70.05012
Akaike information criterion  -5.338106
Schwarz criterion  -4.641758
  以上是我用Eviews做的时候的VEC模型结果，这个该怎么分析呢