by jkh » Fri Jun 26, 2015 4:52 am
Thank you for your quick reply.
But, this way doesn't seem to give confidence intervals for cross autocorrelations (ie. HPD region for Bayesian estimation)
Maybe, it seems to result from the single estimates for policy function.
However, I think that in fact, there exist distributions for policy function's parameter estimates.
As a result, cross-autocorrelation also should have confidence intervals.
Am I right?
In addtion, another related question is whether policy function's parameters in "oo_.dr.ys" come from Bayesian estimation's mode value or anything.
Thanks a lot!!!