Merge branch 'experimental-kalman-initialization' into experimental-smoother-on-calibrated-model
commit
c3ec2704a7
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@ -118,25 +118,50 @@ if options_.lik_init == 1 % Kalman filter
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end
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Pstar = lyapunov_symm(T,R*Q*transpose(R),options_.qz_criterium,options_.lyapunov_complex_threshold);
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Pinf = [];
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elseif options_.lik_init == 2 % Old Diffuse Kalman filter
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elseif options_.lik_init == 2 % Old Diffuse Kalman filter
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if kalman_algo ~= 2
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kalman_algo = 1;
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end
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Pstar = options_.Harvey_scale_factor*eye(np);
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Pinf = [];
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elseif options_.lik_init == 3 % Diffuse Kalman filter
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elseif options_.lik_init == 3 % Diffuse Kalman filter
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if kalman_algo ~= 4
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kalman_algo = 3;
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end
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[Z,ST,R1,QT,Pstar,Pinf] = schur_statespace_transformation(mf,T,R,Q,options_.qz_criterium);
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elseif options_.lik_init == 4
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% Start from the solution of the Riccati equation.
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elseif options_.lik_init == 4 % Start from the solution of the Riccati equation.
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[err, Pstar] = kalman_steady_state(transpose(T),R*Q*transpose(R),transpose(build_selection_matrix(mf,np,nobs)),H);
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mexErrCheck('kalman_steady_state',err);
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Pinf = [];
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if kalman_algo~=2
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kalman_algo = 1;
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end
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elseif options_.lik_init == 5 % Old diffuse Kalman filter only for the non stationary variables
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[eigenvect, eigenv] = eig(T);
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eigenv = diag(eigenv);
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nstable = length(find(abs(abs(eigenv)-1) > 1e-7));
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unstable = find(abs(abs(eigenv)-1) < 1e-7);
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V = eigenvect(:,unstable);
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indx_unstable = find(sum(abs(V),2)>1e-5);
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stable = find(sum(abs(V),2)<1e-5);
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nunit = length(eigenv) - nstable;
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Pstar = options_.Harvey_scale_factor*eye(np);
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if kalman_algo ~= 2
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kalman_algo = 1;
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end
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R_tmp = R(stable, :);
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T_tmp = T(stable,stable);
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if DynareOptions.lyapunov_fp == 1
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Pstar_tmp = lyapunov_symm(T_tmp,Q,DynareOptions.lyapunov_fixed_point_tol,DynareOptions.lyapunov_complex_threshold, 3, R_tmp);
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elseif DynareOptions.lyapunov_db == 1
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Pstar_tmp = disclyap_fast(T_tmp,R_tmp*Q*R_tmp',DynareOptions.lyapunov_doubling_tol);
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elseif DynareOptions.lyapunov_srs == 1
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Pstar_tmp = lyapunov_symm(T_tmp,Q,DynareOptions.lyapunov_fixed_point_tol,DynareOptions.lyapunov_complex_threshold, 4, R_tmp);
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else
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Pstar_tmp = lyapunov_symm(T_tmp,R_tmp*Q*R_tmp',DynareOptions.qz_criterium,DynareOptions.lyapunov_complex_threshold);
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end
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Pstar(stable, stable) = Pstar_tmp;
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Pinf = [];
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end
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kalman_tol = options_.kalman_tol;
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riccati_tol = options_.riccati_tol;
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@ -373,7 +373,6 @@ switch DynareOptions.lik_init
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error(['diffuse filter: options_.kalman_algo can only be equal ' ...
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'to 0 (default), 3 or 4'])
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end
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[Z,T,R,QT,Pstar,Pinf] = schur_statespace_transformation(Z,T,R,Q,DynareOptions.qz_criterium);
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Zflag = 1;
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% Run diffuse kalman filter on first periods.
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@ -453,6 +452,32 @@ switch DynareOptions.lik_init
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Pinf = [];
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a = zeros(mm,1);
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Zflag = 0;
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elseif options_.lik_init == 5 % Old diffuse Kalman filter only for the non stationary variables
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[eigenvect, eigenv] = eig(T);
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eigenv = diag(eigenv);
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nstable = length(find(abs(abs(eigenv)-1) > 1e-7));
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unstable = find(abs(abs(eigenv)-1) < 1e-7);
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V = eigenvect(:,unstable);
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indx_unstable = find(sum(abs(V),2)>1e-5);
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stable = find(sum(abs(V),2)<1e-5);
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nunit = length(eigenv) - nstable;
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Pstar = options_.Harvey_scale_factor*eye(np);
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if kalman_algo ~= 2
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kalman_algo = 1;
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end
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R_tmp = R(stable, :);
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T_tmp = T(stable,stable);
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if DynareOptions.lyapunov_fp == 1
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Pstar_tmp = lyapunov_symm(T_tmp,Q,DynareOptions.lyapunov_fixed_point_tol,DynareOptions.lyapunov_complex_threshold, 3, R_tmp);
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elseif DynareOptions.lyapunov_db == 1
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Pstar_tmp = disclyap_fast(T_tmp,R_tmp*Q*R_tmp',DynareOptions.lyapunov_doubling_tol);
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elseif DynareOptions.lyapunov_srs == 1
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Pstar_tmp = lyapunov_symm(T_tmp,Q,DynareOptions.lyapunov_fixed_point_tol,DynareOptions.lyapunov_complex_threshold, 4, R_tmp);
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else
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Pstar_tmp = lyapunov_symm(T_tmp,R_tmp*Q*R_tmp',DynareOptions.qz_criterium,DynareOptions.lyapunov_complex_threshold);
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end
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Pstar(stable, stable) = Pstar_tmp;
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Pinf = [];
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otherwise
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error('dsge_likelihood:: Unknown initialization approach for the Kalman filter!')
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end
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