模型是
a =C+dc+ ut
方程系数怎么看出来啊? 因果关系怎么判断啊?谢谢了。。。
格兰杰因果关系检验命令:
var a c (向量自回归)
vargranger
.
var a cVector autoregressionSample: 1997 - 2008 No. of obs = 12
Log likelihood = 49.63864 AIC = -6.606439
FPE = 5.16e-06 HQIC = -6.756047
Det(Sigma_ml) = 8.75e-07 SBIC = -6.20235Equation Parms RMSE R-sq chi2 P>chi2
----------------------------------------------------------------
a 5 .137584 0.9745 458.4377 0.0000
c 5 .013088 0.9997 41641.52 0.0000
----------------------------------------------------------------------------------------------------------------------------------------------
| Coef. Std. Err. z P>|z| [95% Conf. Interval]
-------------+----------------------------------------------------------------
a |
a |
L1. | .5556945 .1938493 2.87 0.004 .1757568 .9356321
L2. | .228019 .2124949 1.07 0.283 -.1884634 .6445013
|
c |
L1. | 2.091405 .682956 3.06 0.002 .7528355 3.429974
L2. | -1.487556 .5775911 -2.58 0.010 -2.619613 -.3554979
|
_cons | -1.803952 .3731686 -4.83 0.000 -2.535349 -1.072555
-------------+----------------------------------------------------------------
c |
a |
L1. | .0561522 .0184408 3.04 0.002 .0200088 .0922956
L2. | -.0700574 .0202146 -3.47 0.001 -.1096773 -.0304375
|
c |
L1. | 1.318775 .0649694 20.30 0.000 1.191438 1.446113
L2. | -.3350102 .0549461 -6.10 0.000 -.4427026 -.2273178
|
_cons | .201223 .0354994 5.67 0.000 .1316454 .2708006
------------------------------------------------------------------------------
. vargranger Granger causality Wald tests
+------------------------------------------------------------------+
| Equation Excluded | chi2 df Prob > chi2 |
|--------------------------------------+---------------------------|
| a c | 20.148 2 0.000 |
| a ALL | 20.148 2 0.000 |
|--------------------------------------+---------------------------|
| c a | 12.259 2 0.002 |
| c ALL | 12.259 2 0.002 |
+------------------------------------------------------------------+