Dear Gretl Team,
I would like to give 2 suggestions that I think could make VAR estimations
easier (at least for the GUI users :).
In the VAR model window, under "Tests -> Autocorrelation", it would be great
if we could have a more "complete" test result. Please, take a look at this
example: using "australia.gdt" data and estimating a VAR(1) model with the
variables "le", "lpus", and "lpau" (I'd attached a Gretl
session file) we
get the following output:
Equation 1:
Ljung-Box Q' = 3.56914 with p-value = P(Chi-square(4) > 3.56914) = 0.467
Equation 2:
Ljung-Box Q' = 6.00246 with p-value = P(Chi-square(4) > 6.00246) = 0.199
Equation 3:
Ljung-Box Q' = 33.5337 with p-value = P(Chi-square(4) > 33.5337) = 9.29e-07
I think it would be better if Gretl could present not only the lag number 4,
but all the lags requested by the user (just like it does in an OLS
estimation - "Graphs -> Residual correlogram"):
LAG ACF PACF Q-stat. [p-value]
1 -0.0141 -0.0141 0.0157 [0.900]
2 -0.0333 -0.0335 0.1047 [0.949]
3 0.1832 0.1825 2.8302 [0.419]
4 -0.0947 -0.0949 3.5691 [0.467]
5 0.0827 0.0987 4.1402 [0.529]
6 0.0553 0.0139 4.3989 [0.623]
7 -0.1578 -0.1228 6.5371 [0.479]
8 0.0775 0.0465 7.0605 [0.530]
9 0.0920 0.0878 7.8091 [0.553]
10 -0.1368 -0.0960 9.4905 [0.486]
11 0.0357 -0.0034 9.6066 [0.566]
12 -0.0637 -0.0736 9.9830 [0.617]
The second suggestion is related to the graphs options (in the VAR model
window, "Graphs"). Why don't we put the residual correlogram option? ;-)
Thanks in advance for your attention,
--
Henrique C. de Andrade
Doutorando em Economia Aplicada
Universidade Federal do Rio Grande do Sul
www.ufrgs.br/ppge