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Unlike the traditional impulse response analysis, GIRF does not require orthogonalization of shocks and is invariant to the ordering of the variables in the VAR. In other words, the definition of GIRF is different from Cholesky IRF.

The lbvar add-in is updated. It now includes the generalized IRF and option to save IRF.

The add-in document (psvar.pdf) and example(psvar_ex1.prg) are located in folder C:\Users\...\Documents\EViews Addins\Psvar.

Yep

1. Is the model estimated following the hierarchical approach of Giannone et al (2012) in their paper prior selection for vector autoregressions? No. 2. Are the impulse responses formulated in the same manner as the Banbura et al paper which is referenced in the add in doc? I.e. can we specify slow...

Could you send the command or description of the date file or data file?

The psvar add-in is updated. It now includes variance decomposition analysis.

This thread is about the psvar add-in that estimates Panel SVAR of Pedroni (2013).

It depends on your variable unit. For example, if the bond yield is in % then the horizontal axes is measured in %

1. When STD is used, can i say that one STD is equal to 1% of the dependent variable (in my case Bond Yields)? No. 2. When using SIRF add-in, what should i include in Impulse variable dialogue box? Just put one variable, for example just put bond yield variable. Multiple variables are not allowed. ...

I will try to add that option. thanks for the comment.

ok

Could you post the data? Or send it in private message?

sorry I don't understand your question. What is the original variable. Is it left hand-side variable(y_t)? take an example.
in the future I will try to include the changing coefficients.

That is bug in the add-in. I will fix it soon.