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st: Using dwstat after regress and dfuller
Can someone explain why dwstat returns different values (in Stata 8.0) after
the dfuller and regress commands for what are the equivalent regressions?
The results are shown below and you can see that the d value is 1.996121
after dfuller and is 1.314681 after regress.
I know the d statistic is not appropriate for an autogregressive model but
surely the computed value should be the same.
Thanks
. dfuller gdp, trend regress
Dickey-Fuller test for unit root Number of obs =
87
---------- Interpolated Dickey-Fuller
---------
Test 1% Critical 5% Critical 10%
Critical
Statistic Value Value Value
----------------------------------------------------------------------------
--
Z(t) -1.625 -4.069 -3.463
-3.158
----------------------------------------------------------------------------
--
* MacKinnon approximate p-value for Z(t) = 0.7815
----------------------------------------------------------------------------
--
D.gdp | Coef. Std. Err. t P>|t| [95% Conf.
Interval]
-------------+--------------------------------------------------------------
--
gdp |
L1 | -.0603169 .0371113 -1.63 0.108 -.1341169
.013483
_trend | 1.477641 .9172438 1.61 0.111 -.346399
3.301681
_cons | 190.3836 103.5257 1.84 0.069 -15.48857
396.2559
----------------------------------------------------------------------------
--
. dwstat
Durbin-Watson d-statistic( 3, 87) = 1.996121
. regress D.gdp L.gdp n
Source | SS df MS Number of obs =
87
-------------+------------------------------ F( 2, 84) =
1.32
Model | 3388.93239 2 1694.4662 Prob > F =
0.2721
Residual | 107661.688 84 1281.68677 R-squared =
0.0305
-------------+------------------------------ Adj R-squared =
0.0074
Total | 111050.621 86 1291.28629 Root MSE =
35.801
----------------------------------------------------------------------------
--
D.gdp | Coef. Std. Err. t P>|t| [95% Conf.
Interval]
-------------+--------------------------------------------------------------
--
gdp |
L1 | -.0603169 .0371113 -1.63 0.108 -.1341169
.013483
n | 1.477641 .9172438 1.61 0.111 -.346399
3.301681
_cons | 190.3836 103.5257 1.84 0.069 -15.48857
396.2559
----------------------------------------------------------------------------
--
. dwstat
Durbin-Watson d-statistic( 3, 87) = 1.314681
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