ADF检验的三个模型怎么建立啊?我的模型3代码是这样的: tsset v1 time variable: v1, 1980 to 2013
delta: 1 unit
. gen y1=d.y
(1 missing value generated)
. gen y2=l.y
(1 missing value generated)
. gen t=tax
. gen y3=d.l.y
(2 missing values generated)
. reg y1 t y2 y3
Source | SS df MS Number of obs = 32
-------------+---------------------------------- F(3, 28) = 94.65
Model | 127177151 3 42392383.7 Prob > F = 0.0000
Residual | 12540276.9 28 447867.032 R-squared = 0.9102
-------------+---------------------------------- Adj R-squared = 0.9006
Total | 139717428 31 4507013.81 Root MSE = 669.23
------------------------------------------------------------------------------
y1 | Coef. Std. Err. t P>|t| [95% Conf. Interval]
-------------+----------------------------------------------------------------
t | .0344413 .0196788 1.75 0.091 -.0058689 .0747514
y2 | .0955427 .0370885 2.58 0.016 .0195703 .171515
y3 | -.450747 .1914158 -2.35 0.026 -.8428443 -.0586496
_cons | 107.5199 371.9046 0.29 0.775 -654.2921 869.3319
------------------------------------------------------------------------------
. 但是结果并不对,求助大神……


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