Dear all,
I built a DSGE model to compare the effects of several monetary policies.
The welfare loss function is in the form of Woodford (2003) and Galí and Monacelli(2005).
I bulit a m.file in matlab:
“- (1- alpha)/2 beta ( epsilon/lambda * oo_.var(3,3) + (1+ phi)*oo_.var(2,2) )”
I have two questions as following.
(1)Numerical value of oo_.var are a little different according to different times of MH algorithm.
How much times should MH algorithm be? 10000 times?or 250 times?
(2)I’m not familiar with welfare analysis,so ask a basic question. In some articles,they also did different types of shocks on welfare losses,for example , technology shocks ,monetary policy shocks, etc(I’m not sure whether other shocks are not taken into account, only taking one kind shocks ?). I want to ask them how they did it. oo_.var has only one aggregate volatility?
Thank you in advance for answering my questions.