Added theoretical spectral density (in stoch_simul.m)
git-svn-id: https://www.dynare.org/svn/dynare/dynare_v4@778 ac1d8469-bf42-47a9-8791-bf33cf982152time-shift
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% stephane.adjemian@ens.fr
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function [omega,f] = UnivariateSpectralDensity(dr,var_list)
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% This function computes the theoretical spectral density of each
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% endogenous variable declared in var_list. Results are stored in
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% oo_ and may be plotted.
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%
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% Adapted from th_autocovariances.m.
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global options_ oo_ M_
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omega = []; f = [];
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if options_.order > 1
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disp('UnivariateSpectralDensity :: I Cannot compute the theoretical spectral density')
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disp('with a second order approximation of the DSGE model!')
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disp('Set order = 1.')
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return
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end
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pltinfo = 1;%options_.SpectralDensity.Th.plot;
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cutoff = 100;%options_.SpectralDensity.Th.cutoff;
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sdl = 0.1;%options_.SepctralDensity.Th.sdl;
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omega = (0:sdl:pi)';
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GridSize = length(omega);
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exo_names_orig_ord = M_.exo_names_orig_ord;
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if sscanf(version('-release'),'%d') < 13
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warning off
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else
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eval('warning off MATLAB:dividebyzero')
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end
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if nargin<2
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var_list = [];
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end
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nvar = size(var_list,1);
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if nvar == 0
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nvar = length(dr.order_var);
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ivar = [1:nvar]';
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else
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ivar=zeros(nvar,1);
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for i=1:nvar
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i_tmp = strmatch(var_list(i,:),M_.endo_names,'exact');
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if isempty(i_tmp)
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error (['One of the variable specified does not exist']) ;
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else
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ivar(i) = i_tmp;
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end
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end
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end
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f = zeros(nvar,GridSize);
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ghx = dr.ghx;
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ghu = dr.ghu;
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npred = dr.npred;
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nstatic = dr.nstatic;
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kstate = dr.kstate;
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order = dr.order_var;
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iv(order) = [1:length(order)];
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nx = size(ghx,2);
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ikx = [nstatic+1:nstatic+npred];
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A = zeros(nx,nx);
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k0 = kstate(find(kstate(:,2) <= M_.maximum_lag+1),:);
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i0 = find(k0(:,2) == M_.maximum_lag+1);
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i00 = i0;
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n0 = length(i0);
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A(i0,:) = ghx(ikx,:);
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AS = ghx(:,i0);
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ghu1 = zeros(nx,M_.exo_nbr);
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ghu1(i0,:) = ghu(ikx,:);
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for i=M_.maximum_lag:-1:2
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i1 = find(k0(:,2) == i);
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n1 = size(i1,1);
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j1 = zeros(n1,1);
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j2 = j1;
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for k1 = 1:n1
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j1(k1) = find(k0(i00,1)==k0(i1(k1),1));
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j2(k1) = find(k0(i0,1)==k0(i1(k1),1));
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end
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AS(:,j1) = AS(:,j1)+ghx(:,i1);
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i0 = i1;
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end
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b = ghu1*M_.Sigma_e*ghu1';
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[A,B] = kalman_transition_matrix(dr);
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% index of predetermined variables in A
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i_pred = [nstatic+(1:npred) M_.endo_nbr+1:length(A)];
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A = A(i_pred,i_pred);
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[vx, ns_var] = lyapunov_symm(A,b);
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i_ivar = find(~ismember(ivar,dr.order_var(ns_var+nstatic)));
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ivar = ivar(i_ivar);
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iky = iv(ivar);
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aa = ghx(iky,:);
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bb = ghu(iky,:);
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Gamma = zeros(nvar,cutoff+1);
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tmp = aa*vx*aa'+ bb*M_.Sigma_e*bb';
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k = find(abs(tmp) < 1e-12);
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tmp(k) = 0;
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Gamma(:,1) = diag(tmp);
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vxy = (A*vx*aa'+ghu1*M_.Sigma_e*bb');
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tmp = aa*vxy;
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k = find(abs(tmp) < 1e-12);
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tmp(k) = 0;
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Gamma(:,2) = diag(tmp);
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for i=2:cutoff
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vxy = A*vxy;
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tmp = aa*vxy;
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k = find(abs(tmp) < 1e-12);
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tmp(k) = 0;
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Gamma(:,i+1) = diag(tmp);
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end
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H = 1:cutoff;
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for i=1:nvar
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f(i,:) = Gamma(i,1)/(2*pi) + Gamma(i,H+1)*cos(H'*omega')/pi;
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end
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if sscanf(version('-release'),'%d') < 13
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warning on
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else
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eval('warning on MATLAB:dividebyzero')
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end
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if pltinfo
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for i= 1:nvar
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figure('Name',['Spectral Density of ' deblank(M_.endo_names(ivar(i),:)) '.'])
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plot(omega,f(i,:),'-k','linewidth',2)
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xlabel('0 \leq \omega \leq \pi')
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ylabel('f(\omega)')
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box on
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axis tight
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end
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end
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@ -694,7 +694,7 @@ if (any(bayestopt_.pshape >0 ) & options_.mh_replic) | ...
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metropolis_draw(1);
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if options_.bayesian_irf
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PosteriorIRF('posterior');
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end
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end
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return
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end
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@ -1157,7 +1157,11 @@ if ~((any(bayestopt_.pshape > 0) & options_.mh_replic) | (any(bayestopt_.pshape
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fclose(fidTeX);
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end
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end
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end % <-- if ML estimation, posterior mode without metropolis-hastings or metropolis
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end
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% <-- if ML estimation, posterior mode without metropolis-hastings or metropolis
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% without bayesian posterior forecasts.
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% SA 07-31-2004 * Added TeX output.
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@ -270,3 +270,7 @@ global it_
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fclose(fidTeX);
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end
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end
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[omega,f] = UnivariateSpectralDensity(oo_.dr,var_list);
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