Hi,
is there a possibility to repeat one AR(1) shock multiple times in the same model and then plot the the frequency distribution of the highest deviation of a control variable from steady state (like the aggregate IRF)?
Best regards,
nbt
for j = 1: replic
ex1(:,i_exo_var) = randn(long+drop,nxs)*chol_S;
ex2 = ex1;
ex2(drop+1,:) = ex2(drop+1,:)+e1';
y1 = simult_(temps,dr,ex1,iorder);
y2 = simult_(temps,dr,ex2,iorder);
y = y+(y2(:,M_.maximum_lag+drop+1:end)-y1(:,M_.maximum_lag+drop+1:end));
end
y=y/replic;
for j = 1: replic
ex1(:,i_exo_var) = randn(long+drop,nxs)*chol_S;
ex2 = ex1;
ex2(drop+1,:) = ex2(drop+1,:)+e1';
y1 = simult_(temps,dr,ex1,iorder);
y2 = simult_(temps,dr,ex2,iorder);
y = y+(y2(:,M_.maximum_lag+drop+1:end)-y1(:,M_.maximum_lag+drop+1:end));
y_all(:,:,j)=y;
end
save IRFs y_all
y=y/replic;
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