Merge branch 'online_filter' into 'master'
Bug fixes for online filter See merge request Dynare/particles!11rm-particles^2
commit
41320041c3
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@ -71,7 +71,7 @@ if EstimatedParameters.nvn
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end
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offset = offset+EstimatedParameters.nvn;
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else
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H = zeros(size(DynareDataset.data, 1));
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H = zeros(size(DynareDataset.data, 2));
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end
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% Get the off-diagonal elements of the covariance matrix for the structural innovations. Test if Q is positive definite.
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@ -165,11 +165,13 @@ if nargout>4
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ReducedForm.use_k_order_solver = true;
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ReducedForm.dr = dr;
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else
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n_states=size(dr.ghx,2);
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n_shocks=size(dr.ghu,2);
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ReducedForm.use_k_order_solver = false;
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ReducedForm.ghxx = zeros(size(restrict_variables_idx,1),size(dr.kstate,2));
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ReducedForm.ghuu = zeros(size(restrict_variables_idx,1),size(dr.ghu,2));
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ReducedForm.ghxu = zeros(size(restrict_variables_idx,1),size(dr.ghx,2));
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ReducedForm.constant = ReducedForm.steadystate ;
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ReducedForm.ghxx = zeros(size(restrict_variables_idx,1),n_states^2);
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ReducedForm.ghuu = zeros(size(restrict_variables_idx,1),n_shocks^2);
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ReducedForm.ghxu = zeros(size(restrict_variables_idx,1),n_states*n_shocks);
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ReducedForm.constant = ReducedForm.steadystate;
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end
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ReducedForm.state_variables_steady_state = dr.ys(dr.order_var(state_variables_idx));
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ReducedForm.Q = Q;
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@ -183,15 +185,22 @@ if setinitialcondition
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switch DynareOptions.particle.initialization
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case 1% Initial state vector covariance is the ergodic variance associated to the first order Taylor-approximation of the model.
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StateVectorMean = ReducedForm.state_variables_steady_state;%.constant(mf0);
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StateVectorVariance = lyapunov_symm(ReducedForm.ghx(mf0,:),ReducedForm.ghu(mf0,:)*ReducedForm.Q*ReducedForm.ghu(mf0,:)',DynareOptions.lyapunov_fixed_point_tol,DynareOptions.qz_criterium,DynareOptions.lyapunov_complex_threshold);
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[A,B] = kalman_transition_matrix(dr,dr.restrict_var_list,dr.restrict_columns,Model.exo_nbr);
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StateVectorVariance2 = lyapunov_symm(ReducedForm.ghx(mf0,:),ReducedForm.ghu(mf0,:)*ReducedForm.Q*ReducedForm.ghu(mf0,:)',DynareOptions.lyapunov_fixed_point_tol,DynareOptions.qz_criterium,DynareOptions.lyapunov_complex_threshold);
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StateVectorVariance = lyapunov_symm(A, B*ReducedForm.Q*B', DynareOptions.lyapunov_fixed_point_tol, ...
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DynareOptions.qz_criterium, DynareOptions.lyapunov_complex_threshold, [], DynareOptions.debug);
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StateVectorVariance = StateVectorVariance(mf0,mf0);
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case 2% Initial state vector covariance is a monte-carlo based estimate of the ergodic variance (consistent with a k-order Taylor-approximation of the model).
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StateVectorMean = ReducedForm.state_variables_steady_state;%.constant(mf0);
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old_DynareOptionsperiods = DynareOptions.periods;
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DynareOptions.periods = 5000;
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y_ = simult(oo_.steady_state, dr, Model, DynareOptions, DynareResults);
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y_ = y_(state_variables_idx,2001:5000);
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old_DynareOptionspruning = DynareOptions.pruning;
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DynareOptions.pruning = DynareOptions.particle.pruning;
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y_ = simult(dr.ys, dr, Model, DynareOptions, DynareResults);
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y_ = y_(dr.order_var(state_variables_idx),2001:DynareOptions.periods);
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StateVectorVariance = cov(y_');
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DynareOptions.periods = old_DynareOptionsperiods;
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DynareOptions.pruning = old_DynareOptionspruning;
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clear('old_DynareOptionsperiods','y_');
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case 3% Initial state vector covariance is a diagonal matrix.
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StateVectorMean = ReducedForm.state_variables_steady_state;%.constant(mf0);
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