In my model investment ,output is growing with technology ,and technology follows:log(A(t))=log(A(t-1))+mu_a+e_a(t) ,and another shock e_q in log(q(t))=q(t)=(1-rho_q)log(mu_q)+rho_qlog(q(t-1))+e_q(t)
the system is writen in difference form with dy=day/y(-1) and di=dai/i(-1)
now I have two questions:
1.if I simulate the model and want to get the irf of Y(t)=A(t)*y(t) ,I(t)=A(t)*i(t) do I only need to acumulated sum up the irf of di_e_a di_e_q dy_e_a dy_e_q in workspace(a series of number) ?
2.If I estimate the model and want to get posterior irf of Y(t)=A(t)*y(t) ,I(t)=A(t)*i(t) what should I do ?
I find baysian irf of variable in oo_.PosteriorIRF.dsge. but I don’t know how to read it.can anyone give me some hint ?what is response number and what is confidence interval number?
what is meaning block val(:,:,1,1),I have 10 endo vars and there is 10 column in each bolck
thank you all