Thank you,
I am thinking in a similar direction. My idea was to try to use the gretl to examine the
short-term correlation between economic factors, when the series are cointegrated and the
VECM must be used.
Thank you once again.
On Apr 19, 2023, at 18:47, Sven Schreiber
<sven.schreiber(a)fu-berlin.de> wrote:
Am 19.04.2023 um 15:40 schrieb NIkola Radivojevic:
> dear,
> how to conduct the VEC Granger Causality Test/ Block Exogeneity Wald Test?
Hi, I'm interpreting your question as being about strong exogeneity of, say, x with
respect to y, such that no (lagged) terms involving x should appear in the equation with y
(or \Delta y) on the LHS.
I don't think this is natively available in the VECM context, and probably for good
reasons. Quoting Kilian & Lütkepohl (the SVAR book): "Granger causality may be
assessed within the VEC framework [...] but the asymptotic distributions depend on
nuisance parameters. [...] an easy cure for this problem is to add a further lag to the
VAR process and perform the test on the first p lags of the lag-augmented VAR." (p.
49)
So I would recommend to just run a single-equation OLS regression for y with p+1 lags of
all involved variables (x as well as other conditioning variables Z), and then perform an
omission restriction on the lags 1...p of x.
Of course this test will in practice be sensitive to the lag choice p, but that is a
general problem not specific to this question.
cheers
sven
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