This is not a correct way to deal with seasonal patterns. Moreover, what is your e_obs that you match to the non-stationary e in the model? It seems you have a scaling by 100 issue, see [Scaling of Bayesian impulse responses)
This is not a correct way to deal with seasonal patterns. Moreover, what is your e_obs that you match to the non-stationary e in the model? It seems you have a scaling by 100 issue, see [Scaling of Bayesian impulse responses)