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panel data query

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Hi!

I have two RE models and the details are as below:

Model 1: 2 main+ 4 controls + Time + industry dummy

Model 2: 2 main+ 4 controls + Time

The only difference between the two models is that the second model has no industry dummy.

Can I compare and analyse the coefficients of the two models, even if the second model has no industry dummy.

Please help me in this regard

Thanks in advance.



On impulse response analysis

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Hello comrades! Nice to meet you!

I run a a VECM model with 4 endogenous variables and 3 cointegration equations from 2003 to 2013 in quarterly frequency.
I use Cholesky dof in 10 periods in impulse response analysis.

Here are my questions:

1) At the end of the determined period window (mine is 10) the shocked variables must return to zero or it depends on their actual evolution?

2) Why Cholesky dof is recommended while many papers use generalized impulse responses?

3) Which are the actual restrictions of default VECM model (are only those which concern the intercept?) and how they affect the outcome of the impulse response analysis? Namely, how they affect the presuppositions of the interaction of the variables?

Thank in advance guys for any reliable answer!


Rolling Impulse Response Functions and FEVD Calculation

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Hi,
For my study, I need to calculate the forecast error variance decompositions of my variables which I estimate through rolling VAR. Inspired by one of the former posts, I think I managed to get the impulse response functions out of rolling VAR. However, I need the forecast error variance decompositions (FEVD) of these variables whereas what I write merely gives me the graph of the irfs. How can I create what I want?
The codes I have used till now are as follows. I am assuming they are right, but of course they might be wrong.
My VAR estimates stock returns of U.S, Frankfurt and London stock markets simultaneously.
I would be really glad if you could help.

scalar window = 200

for !i = 1 to window
var var.ls 1 2 dus dger dlse
freeze(roliin) var.impulse(12, se=a) dus @dger @dlse
var.makeresids error_dus error_dger error_dlse


POOL / MAKESTATS - no result

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' running the following script in eviews 9

' error message: Z_MEAN is not defined in "SHOW Z_MEAN"


wfcreate u 100

series z_a = nrnd
series z_b = nrnd

POOL p a b

p.MAKESTATS z_? @ MEAN

show z_mean

stop


Show Date in Scattergraph

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I can't think of a way to do that. :(


POOL / MAKESTATS - no result

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Looks like this is broken in 9. We will fix it in the next patch.


Copying matrices with row and column labels

Show Date in Scattergraph

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Well, thanks for your answer, Gareth, but in this case, I have to ask another question: how can this be possible? How can I visually describe different obs at different dates with Eviews?



Show Date in Scattergraph

Show Date in Scattergraph

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I'm afraid I can't.... but it's like this:
Income in 2014/date of birth
1.000/1960
2.000/1970
3.000/1980
Shouldn't be the hardest task to visualise the axis as a kind of time line, should it?


Show Date in Scattergraph

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You just have year of birth? Or do you want full date?


Show Date in Scattergraph

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I would be totally satisfied with the year


Rolling Impulse Response Functions and FEVD Calculation

Single-Equation Cointegration Test

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While there is always the possibility of discrepancy between the single-equation cointegration tests run with different dependent variables, from the posted output, the tests are in agreement up to size alpha ~ .003, which corresponds to about a 99.7 confidence level.


Estimation of Autocovariances

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How do you want these presented?

If you want these for further use, you can always just compute the covariance between Y and Y(-1), Y(-2), etc. and save the results.

If you just want the autocorrelations, EViews has a built-in view of a series (View/Correlogram...) which displays consistent approximations of the autocorrelation values (holding the estimated mean fixed).

So if you let us know how you want to use these, we'll better be able to help.



Show Date in Scattergraph

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Assuming your birtdate series is called "birthdate":
Code:

series birthyear = @datepart(birthdate, "YYYY")

Then use the series birthyear rather than the series birthdate in your scatter.


Show Date in Scattergraph

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seems like we´re getting close, thank you for your patience :)

ok, i didn´t mention before, that i´m new to the programm - i´ve spent about 6 hours with it. So where can i type that line in? Sounds ridiculous, but i need step for step advices - sorry.


Show Date in Scattergraph

Reshaping Data

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Dear Gareth

Sorry that the question was not specific. I would like to reshape the data to be a panel data format. For example:
Bank Country Year Var1 Var2 Var2
HSBC UK 2015 0.2 0.17 0.16
HSBC UK 2014 0.7 0.21 0.19
BARCLAYS US 2015 0.8 0.34 0.41
BARCLAYS US 2014 0.71 0.24 0.51

Hope this will help.

Thanking you in anticipation.

Isaiah


negative shocks to impulse response function

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After fiddling around a little I found the following solution to the problem of customising the sign of the impulses.

Having estimated a structural factorization using short-run restrictions, call
Code:
my_var.impulse(imp = struct).

Save the impulses using
Code:
matrix shock = my_var.@impfact

and reverse the sign of shock 2 and 5 using e.g.
Code:
for !row = 1 to !series_tot
shock(!row, 2) = shock(!row, 2) * (-1)
shock(!row, 5) = shock(!row, 5) * (-1)
next

(How do you operate on whole columns in EViews????)

Now you can run
Code:
my_var.impulse(fname = shock)

and obtain the IRF graphs with the sign reversed for shock 2 and 5.


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