最近在写一篇关于向量自回归VAR的论文，请各位帮忙看看这个VAR方程的结果，主要说明怎么判断哪个变量对另一个变量有显著影响，谢谢了哦
Included observations: 30 after adjustments  
Standard errors in ( ) & t-statistics in [ ]  
  
DLNAHP DLNASP
  
DLNAHP(-1)  0.493474  1.138394
  (0.19830)  (1.39617)
[ 2.48850] [ 0.81537]
  
DLNAHP(-2) -0.230506  3.707243
  (0.18590)  (1.30888)
[-1.23992] [ 2.83238]
  
DLNASP(-1)  0.048700  0.290687
  (0.02369)  (0.16681)
[ 2.05553] [ 1.74263]
  
DLNASP(-2)  0.001774 -0.340164
  (0.02414)  (0.16996)
[ 0.07349] [-2.00147]
  
C -0.002348  0.009454
  (0.00141)  (0.00994)
[-1.66200] [ 0.95061]
  
R-squared  0.333459  0.451403
Adj. R-squared  0.226812  0.363627
Sum sq. resids  0.001075  0.053276
S.E. equation  0.006557  0.046163
F-statistic  3.126765  5.142688
Log likelihood  110.9848  52.43391
Akaike AIC -7.065656 -3.162260
Schwarz SC -6.832123 -2.928728
Mean dependent -0.003940 -0.009187
S.D. dependent  0.007457  0.057868
  
Determinant resid covariance (dof adj.)   9.15E-08
Determinant resid covariance   6.36E-08
Log likelihood   163.4329
Akaike information criterion  -10.22886
Schwarz criterion  -9.761791