Degree of freedom in DSGE-VAR
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Hi, my question is not directly related to Dynare programming.
It is about the theory in DSGE-VAR with reference to http://www.dynare.org/DynareWiki/DsgeVar.
The question is, the prior distribution of forecasting error variance in DSGE-VAR follows an inverted Wishart distribution
with degree of freedom LT-mp-m where LT is the number of artificial observations generated from DSGE model, m is the number of
VAR model variables and p is the lag length.
Is there anyone who can explain why the degree of freedom is LT-mp-m ?
or Could you introduce me some internet pages including proper explanation?
Thank you.
It is about the theory in DSGE-VAR with reference to http://www.dynare.org/DynareWiki/DsgeVar.
The question is, the prior distribution of forecasting error variance in DSGE-VAR follows an inverted Wishart distribution
with degree of freedom LT-mp-m where LT is the number of artificial observations generated from DSGE model, m is the number of
VAR model variables and p is the lag length.
Is there anyone who can explain why the degree of freedom is LT-mp-m ?
or Could you introduce me some internet pages including proper explanation?
Thank you.