ECONOMETRIC METHODS II TA session 1 MATLAB Intro ...
ECONOMETRIC METHODS II TA session 1 MATLAB Intro ...
ECONOMETRIC METHODS II TA session 1 MATLAB Intro ...
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<strong>ECONOMETRIC</strong> <strong>METHODS</strong> <strong>II</strong> <strong>TA</strong> Session 1<br />
diff=max(max(abs(Cap_Sigma1-Cap_Sigma0)));<br />
diff1=[diff1,diff];<br />
figure(2)<br />
plot(diff1)<br />
title(’Evolution of convergence’,’FontSize’,14)<br />
end<br />
sprintf(’Convergence achieved after %d iterations’,iter)<br />
% Alternatively, solve the discrete Lyapunov equation<br />
Cap_Sigma1l=dlyap(F,Q);<br />
% Compare results<br />
diff2=max(max(abs(Cap_Sigma1l-Cap_Sigma1)));<br />
toc<br />
Figure 3.2 shows that convergence is roughly achieved after iterating this equation<br />
7 times. However, since we impose a convergence criteria of " = 1 10 10 , the loop<br />
converges after 20 iterations. Moreover, in this application di¤2 is less than 1 10 10 ,<br />
which shows that the loop produces a good approximation. We now proceed to the next<br />
section for a more interesting analysis.<br />
Figure 3.2: Evolution of convergence of Y<br />
Fernando Pérez Forero 8