Hi,
ah ok, I think I now understand the second part. However, that's an area
where one has to be very careful.
For example, if you have two variables with trends/drifts, regressing
one on the other with only a constant (and no trend term) you are
actually running a co-trending regression, not a cointegration
regression. There's a good chance that the estimator and the test in
such cases then doesn't have the properties you expect.
I see your point that you want to have more control over the options in
the Engle-Granger test, and maybe you're right. But what gretl does
seems quite reasonable so far. If you want to do the dangerous stuff
described above, of course you can do it manually by running the right
regressions, and some people out there on this mailing list would argue
that that's a good thing...
cheers,
sven
Am 08.05.2012 19:37, schrieb Daniel Ventosa S.:
Hi,
Many thanks. So, for the DF tests on the original variables, the
Engle-Granger uses the smallest available sample size. I understand the
argument and it seems to be the strongest one. However, considering that
the ultimate goal is to identify unit roots in the variables, it also
could be argued that using all the available information is better than
just using a part of it; It's true, the tests will not be strictly
comparable, but the goal is not to compare them; what the practitioner
should do is to ensure that the ADF tests correctly rejects/does not
reject the null. Anyway, that's not the main issue: suppose you use the
Engle-Granger test and include constant term and trend for the ADF tests
on the variables. It turns out that the specification of the
cointegration equation includes exactly the same deterministic
components. It's quite easy to imagine a number of data-generating
processes for, say, x_t and y_t, that do not fit the model used by
GRETL: x_{t}=m+x_{t-1}+u_{t} (unit root with drift, i.e. deterministic
trend); y_{t}=a+b*x_{t}+w_{t} with w_t~I(0). To test for the unit root
in x, you need to include constant term and trend; the same goes for y,
since it includes x. Nevertheless, the cointegration equation does not
have trend. Maybe I am missing something really obvious (and I'm sorry
if that's the case), but I think you should be able to decide, as a
separate option, what deterministic elements should be included in the
ADF tests and in the cointegration equation.
Friendly,
Daniel
------------------------------------------------------------------------
*From:* Sven Schreiber <svetosch(a)gmx.net>
*To:* gretl-users(a)lists.wfu.edu
*Sent:* Tuesday, May 8, 2012 4:52 AM
*Subject:* Re: [Gretl-users] issues with the DF/EG tests
Hi,
to make the results strictly comparable the same sample should arguably
be used, and that's what gretl does.
OLS residuals have mean zero by construction and deterministics do not
make sense there (modulo some initial-value problems if you do not use
the same sample, but that's not what gretl does as we have just discussed).
Hope I understood your questions correctly,
cheers,
sven
Am 08.05.2012 02:27, schrieb Daniel Ventosa S.:
> Hello,
> I am teaching a basic course in Econometrics, and, as usual, I use Gretl
> for all empirical applications. A week ago, a couple of students
> (Alejandra Pérez and Natividad Aguilera) discovered something weird when
> using the DF test in the residuals or the Engle-Granger test. They know
> that, although the test is the same, critical are not. Anyway, the value
> of the t-ratio should be the same whether you use the EG option or do
> the test by yourself using the DF-test. They showed to me their example
> and I think they might be right. In their own words:
> "Dear Sir or Madam,
> We have some points that we would like to have clarified about the
> Engle-Granger cointegration test (coint ) and the Augmented
> Dickey-Fuller test (adf ) using two variables.
> First, in the coint test, there is an option to allow Gretl to determine
> the number of lags of the dependent variable used in the adf test (from
> a maximum number of lags established by the user) and in the first step
> it reduces the sample according to this. Then the same sample is used to
> run the adf test on the other variable. Why Gretl does not use a sample
> according to the significant lags in each case/variable as if it were
> doing the adf test individually?
> Second, once the sample is reduced in the first step, the ADFperformed
> on residuals (second step) is done with the same reduced sample.
> Inference is not drawn using the original sample size. Why?
> Third, when we run the coint test it is not possible to do the test for
> the residuals with different deterministic components. However, it is
> possible that the variables with unitary root have a tendency and the
> residuals series not. Why is it not possible to select different
> deterministic components for initial adf test and the adf test on the
> residuals?
> Thank you for your attention to this message.
> Yours faithfully,
> Natividad Aguilera, economic’s master student from University of
> Guanajuato (UG) &
> Alejandra Pérez, economic’s undergraduate student from Center for
> Reseach and Teaching in Economics (CIDE)."
> Many thanks for your attention. You can corroborate this using any pair
> of time series (the number of lags must be fixed for both variables, the
> ADF and the EG).
> Friendly Daniel
>
>
>
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