Comparing IRFs of DSGE and DSGE-VAR in dynare
Posted: Thu Feb 23, 2017 4:44 am
Dear Johannes,
As I understand it, the 'bvar_irf' option used under DSGE-VAR estimation in dynare produces figures that compare the IRFs of the DSGE model (solid line) and those of the DSGE-VAR(lambda) (the dotted lines)... I was wondering if there is any way we can know the EQUATIONS producing them?
I understand that the IRFs can be produced with the state-space representation of the DSGE model (using .ghx and .ghu) and I managed to retrieved the solid line. But how can I manually compute the IRFs of the DSGE-VAR(lambda), i.e., any of the solid lines? Put differently, does dynare provide a way that allows users to do simulation or forecast using the estimated DSGE-VAR(lambda)?
I have searched through the forum and manual but I could find little information about using the DSGE-VAR(lambda) model and its posterior estimates, though there are quite a few papers out there where people compare the forecast ability of DSGE-VARs and DSGE model etc.. Am i misunderstanding something here? (Assuming they also use dnare), how do they get the forecasts then, say, from a DSGE-VAR(0.5)?
Any advice would be very highly appreciated.
Thanks very much.
Zhirong
As I understand it, the 'bvar_irf' option used under DSGE-VAR estimation in dynare produces figures that compare the IRFs of the DSGE model (solid line) and those of the DSGE-VAR(lambda) (the dotted lines)... I was wondering if there is any way we can know the EQUATIONS producing them?
I understand that the IRFs can be produced with the state-space representation of the DSGE model (using .ghx and .ghu) and I managed to retrieved the solid line. But how can I manually compute the IRFs of the DSGE-VAR(lambda), i.e., any of the solid lines? Put differently, does dynare provide a way that allows users to do simulation or forecast using the estimated DSGE-VAR(lambda)?
I have searched through the forum and manual but I could find little information about using the DSGE-VAR(lambda) model and its posterior estimates, though there are quite a few papers out there where people compare the forecast ability of DSGE-VARs and DSGE model etc.. Am i misunderstanding something here? (Assuming they also use dnare), how do they get the forecasts then, say, from a DSGE-VAR(0.5)?
Any advice would be very highly appreciated.
Thanks very much.
Zhirong