Open AndreyDO opened 5 years ago
Hi Andrey
It's increasing because it's a combined contribution of both the initial condition AND the constant term (which is added every period). The contribution of the initial condition alone would be decreasing over time but the constant term is added every period.
Let's say you have an autoregressive equation x = 0.9*x{-1} + 1 + shock;
If you start your simulation from x=0, then the contribution of the initial cond+constant term is
1, 1.9, 2.71, 3.439, ..., 10
Note that the contributions will depend on the value of the initial condition itself - if you instead start at x=10, then the contributions will remain constant
10, 10, 10, ....
while starting above 10 will produce a declining contribution.
Best Jaromir
On Wed, Oct 23, 2019 at 11:33 AM AndreyDO notifications@github.com wrote:
Hi, guys!
I'm doing a shock decomposition exercise via the command 'simulate'. Why might the contribution of 'initial conditions & constant' term increase over time while theoretical autocorrelation for the variable that is being decomposed is below unity?
Best, Andrey Orlov
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Thanks for the clarification, Jaromir! Just one question more :). This constant term, is it the same as the steady-state value of the variable?
Not exactly. Using the previous example again, the relationship between the constant term and the steady state of a variable depends also on the autoregression
x = rho * x{-1} + const + shock
x_ss = const / (1 - rho)
(assuming rho is stable)
Best Jaromir
On Wed, Oct 23, 2019 at 1:26 PM Andrey Orlov notifications@github.com wrote:
Thanks for the clarification, Jaromir! Just one question more :). This constant term, is it the same as the steady-state value of the variable?
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Got it! Thanks!
Strangely, I get complex numbers as the contribution of 'initial conditions & constant' term (imaginary part is "large"). Is this related to some trends (there should not be one) or non stationary (there should not be one)?
Strange, indeed. Can you please share the codes (or a simplified variant of those)?
Thanks Mirek
On Sun, Jan 12, 2020 at 12:35 PM Antti Ripatti notifications@github.com wrote:
Strangely, I get complex numbers as the contribution of 'initial conditions & constant' term (imaginary part is "large"). Is this related to some trends (there should not be one) or non stationary (there should not be one)?
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Thanks for the prompt reply Mirek!
I forgot to add important info: this concerns Iris version iris20180629 Since this is part of a large codebase (BOF model code environment), I have not yet been able to test it with newer version. I will try this first and then try to isolate the problem to a smaller set. I figured out the problem after changing two data series.
I will come back later.
Cheers,
Antti
su 12. tammik. 2020 klo 14.58 Jaromír Beneš (notifications@github.com) kirjoitti:
Strange, indeed. Can you please share the codes (or a simplified variant of those)?
Thanks Mirek
On Sun, Jan 12, 2020 at 12:35 PM Antti Ripatti notifications@github.com wrote:
Strangely, I get complex numbers as the contribution of 'initial conditions & constant' term (imaginary part is "large"). Is this related to some trends (there should not be one) or non stationary (there should not be one)?
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Ok, Antti - I'll wait for you message...
On Sun, Jan 12, 2020 at 8:50 PM Antti Ripatti notifications@github.com wrote:
Thanks for the prompt reply Mirek!
I forgot to add important info: this concerns Iris version iris20180629 Since this is part of a large codebase (BOF model code environment), I have not yet been able to test it with newer version. I will try this first and then try to isolate the problem to a smaller set. I figured out the problem after changing two data series.
I will come back later.
Cheers,
Antti
su 12. tammik. 2020 klo 14.58 Jaromír Beneš (notifications@github.com) kirjoitti:
Strange, indeed. Can you please share the codes (or a simplified variant of those)?
Thanks Mirek
On Sun, Jan 12, 2020 at 12:35 PM Antti Ripatti <notifications@github.com
wrote:
Strangely, I get complex numbers as the contribution of 'initial conditions & constant' term (imaginary part is "large"). Is this related to some trends (there should not be one) or non stationary (there should not be one)?
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This was my mistake. I manage to recycle my data such that - in the end - I took log of negative numbers. Embarrassing. Sorry for bothering you.
Best,
Antti
su 12. tammik. 2020 klo 22.13 Jaromír Beneš (notifications@github.com) kirjoitti:
Ok, Antti - I'll wait for you message...
On Sun, Jan 12, 2020 at 8:50 PM Antti Ripatti notifications@github.com wrote:
Thanks for the prompt reply Mirek!
I forgot to add important info: this concerns Iris version iris20180629 Since this is part of a large codebase (BOF model code environment), I have not yet been able to test it with newer version. I will try this first and then try to isolate the problem to a smaller set. I figured out the problem after changing two data series.
I will come back later.
Cheers,
Antti
su 12. tammik. 2020 klo 14.58 Jaromír Beneš (notifications@github.com) kirjoitti:
Strange, indeed. Can you please share the codes (or a simplified variant of those)?
Thanks Mirek
On Sun, Jan 12, 2020 at 12:35 PM Antti Ripatti < notifications@github.com
wrote:
Strangely, I get complex numbers as the contribution of 'initial conditions & constant' term (imaginary part is "large"). Is this related to some trends (there should not be one) or non stationary (there should not be one)?
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Happens all the time... :)
On Tue, Jan 14, 2020 at 4:19 PM Antti Ripatti notifications@github.com wrote:
This was my mistake. I manage to recycle my data such that - in the end - I took log of negative numbers. Embarrassing. Sorry for bothering you.
Best,
Antti
su 12. tammik. 2020 klo 22.13 Jaromír Beneš (notifications@github.com) kirjoitti:
Ok, Antti - I'll wait for you message...
On Sun, Jan 12, 2020 at 8:50 PM Antti Ripatti notifications@github.com wrote:
Thanks for the prompt reply Mirek!
I forgot to add important info: this concerns Iris version iris20180629 Since this is part of a large codebase (BOF model code environment), I have not yet been able to test it with newer version. I will try this first and then try to isolate the problem to a smaller set. I figured out the problem after changing two data series.
I will come back later.
Cheers,
Antti
su 12. tammik. 2020 klo 14.58 Jaromír Beneš (notifications@github.com) kirjoitti:
Strange, indeed. Can you please share the codes (or a simplified variant of those)?
Thanks Mirek
On Sun, Jan 12, 2020 at 12:35 PM Antti Ripatti < notifications@github.com
wrote:
Strangely, I get complex numbers as the contribution of 'initial conditions & constant' term (imaginary part is "large"). Is this related to some trends (there should not be one) or non stationary (there should not be one)?
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Hi,
Is it possible within IRIS to separate the contribution of initial conditions from the contribution of constants? I checked the tutorials
https://github.com/IRIS-Solutions-Team/Tutorial-Simple-SPBC-Model/blob/master/run15_filterHistData.m
and
and don't see any documentation of that, but perhaps I missed something.
Thanks!
No, unfortunately not. The main reason is that it would make sense only in stationary models. In models with one or multiple unit roots or log unit roots, the initial conditions would have to be expresses in terms of some underlying deviations of cointegrating combinations of variables, plus arbitrary terms related to the underlying unit root processes (there are, in general, infinitely many representations/rotations separating unit-root processes, corresponding to the infinitely many Schur decompositions).
If you have a stationary model, you can run this manually, by setting up a number of simulations with replacing all initials with their steady state values except one at a time.
Best, Jaromir
On Thu, Dec 16, 2021 at 7:50 PM nfaqs @.***> wrote:
Hi,
Is it possible within IRIS to separate the contribution of initial conditions from the contribution of constants? I checked the tutorials
https://github.com/IRIS-Solutions-Team/Tutorial-Simple-SPBC-Model/blob/master/run15_filterHistData.m
and
and don't see any documentation of that, but perhaps I missed something.
Thanks!
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Hi, guys!
I'm doing a shock decomposition exercise via the command 'simulate'. Why might the contribution of 'initial conditions & constant' term increase over time while theoretical autocorrelation for the variable that is being decomposed is below unity?
Best, Andrey Orlov