Dear Allin,
When I want to estimate a heteroskedasticity
corrected model, it gives an output with WLS as below. Something wrong?
B Miran
Model 2: WLS estimates using 14 observations
from 1936-1952
Missing or incomplete observations dropped: 3
Dependent variable: Y
coefficient std. error t-ratio p-value
--------------------------------------------------------
const
20.3200
2.09293 9.709 2.08e-06
***
X2
0.621689 0.228900
2.716 0.0217 **
X3
0.721299 0.517795
1.393 0.1938
X4
0.725318 0.670564
1.082 0.3048
Statistics based on the
weighted data:
Sum squared resid
16.29103 S.E. of regression 1.276363
R-squared
0.987474 Adjusted R-squared 0.983716
F(3,
10)
262.7731
P-value(F)
8.30e-10
Log-likelihood
-20.92604 Akaike criterion 49.85208
Schwarz criterion 52.40831
Hannan-Quinn 49.61546
Statistics based on the original data:
Mean dependent
var 87.12143 S.D. dependent var
18.64313
Sum squared resid 407.7965
S.E. of regression 6.385895
Excluding the constant,
p-value was highest for variable 4 (X4)
On Sat, 6
Jun 2009, Lars PÃ¥lsson-Syll wrote:
> Is
there any possibility of performing a cross-tabulation in
>
gretl when you only have aggregated frequencies (I'm
thinking of
> something analogous to Stata's "tabi" command )?
Not at present, but that would not be difficult to
add.
Allin Cottrell
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