function oo_=disp_th_moments_pruned_state_space(dr,M_,options_,i_var,oo_) % oo_=disp_th_moments_pruned_state_space(dr,M_,options_,i_var,oo_) % Display theoretical moments of variables based on (second or third order) % pruned state-space % % INPUTS: % dr : Dynare decision rules structure % M_ : Matlab's structure describing the Model (initialized by dynare, see @ref{M_}). % options_ : Matlab's structure describing the options (initialized by dynare, see @ref{options_}). % i_var : Index of requested variables in declaration order % oo_ : Matlab's structure describing the Model (initialized by dynare, see @ref{M_}), containing % % OUTPUTS: % oo_ : Matlab's structure describing the Model (initialized by dynare, see @ref{M_}), containing % gamma_y [cell] Matlab cell of nar+1 arrays, where nar is the order of the autocorrelation function. % gamma_y{1} [double] Covariance matrix. % gamma_y{i+1} [double] Autocorrelation function (for i=1,...,options_.ar). % mean [vector] Unconditional mean % var [matrix] Unconditional covariance matrix % autocorr [cell] Cell storing the theoretical autocorrelation % contemporaneous_correlation [matrix] matrix of contemporaneous correlations % % Copyright © 2020 Dynare Team % % This file is part of Dynare. % % Dynare is free software: you can redistribute it and/or modify % it under the terms of the GNU General Public License as published by % the Free Software Foundation, either version 3 of the License, or % (at your option) any later version. % % Dynare is distributed in the hope that it will be useful, % but WITHOUT ANY WARRANTY; without even the implied warranty of % MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the % GNU General Public License for more details. % % You should have received a copy of the GNU General Public License % along with Dynare. If not, see . if options_.one_sided_hp_filter || options_.hp_filter || options_.bandpass.indicator error(['disp_th_moments:: theoretical moments incompatible with filtering. Use simulated moments instead']) end nvars=length(i_var); obs_var=NaN(nvars,1); for i=1:nvars obs_var(i,1) = find(strcmp(M_.endo_names(i_var(i),:), M_.endo_names(dr.order_var))); end pruned_state_space = pruned_state_space_system(M_, options_, dr, obs_var, options_.ar, 1, 0); m = pruned_state_space.E_y; oo_.gamma_y{1} = pruned_state_space.Var_y; i1 = find(abs(diag(oo_.gamma_y{1})) > 1e-12); s2 = diag(oo_.gamma_y{1}); sd = sqrt(s2); z = [ m sd s2 ]; oo_.mean = m; oo_.var = oo_.gamma_y{1}; if ~options_.noprint %options_.nomoments == 0 title='THEORETICAL MOMENTS BASED ON PRUNED STATE SPACE'; headers={'VARIABLE','MEAN','STD. DEV.','VARIANCE'}; labels = M_.endo_names(i_var,:); lh = cellofchararraymaxlength(labels)+2; dyntable(options_,title,headers,labels,z,lh,11,4); if options_.TeX labels = M_.endo_names_tex(i_var,:); lh = cellofchararraymaxlength(labels)+2; dyn_latex_table(M_,options_,title,'th_moments',headers,labels,z,lh,11,4); end end if isempty(i1) disp_verbose(' ',~options_.noprint) disp_verbose('All endogenous are constant or non stationary, not displaying correlations and auto-correlations',~options_.noprint) disp_verbose(' ',~options_.noprint) return; end if options_.nocorr == 0 % && size(stationary_vars, 1) > 0 corr=pruned_state_space.Corr_y; if options_.contemporaneous_correlation oo_.contemporaneous_correlation = corr; end if ~options_.noprint skipline() title='MATRIX OF CORRELATIONS BASED ON PRUNED STATE SPACE'; labels = M_.endo_names(i_var,:); headers = ['Variables';labels]; lh = cellofchararraymaxlength(labels)+2; dyntable(options_,title,headers,labels,corr,lh,8,4); if options_.TeX labels = M_.endo_names_tex(i_var,:); headers=['Variables';labels]; lh = cellofchararraymaxlength(labels)+2; dyn_latex_table(M_,options_,title,'th_corr_matrix',headers,labels,corr,lh,8,4); end end end if options_.ar > 0 %&& size(stationary_vars, 1) > 0 z=NaN(length(i1),options_.ar); for i=1:options_.ar oo_.gamma_y{i+1} = pruned_state_space.Corr_yi(:,:,i); oo_.autocorr{i} = oo_.gamma_y{i+1}; z(:,i) = diag(oo_.gamma_y{i+1}(i1,i1)); end if ~options_.noprint skipline() title='COEFFICIENTS OF AUTOCORRELATION BASED ON PRUNED STATE SPACE'; labels = M_.endo_names(i_var(i1),:); headers = ['Order ';cellstr(int2str([1:options_.ar]'))]; lh = cellofchararraymaxlength(labels)+2; dyntable(options_,title,headers,labels,z,lh,8,4); if options_.TeX labels = M_.endo_names_tex(i_var(i1),:); lh = cellofchararraymaxlength(labels)+2; dyn_latex_table(M_,options_,title,'th_autocorr_matrix',headers,labels,z,lh,8,4); end end end