diff --git a/matlab/display_estimation_results_table.m b/matlab/display_estimation_results_table.m
new file mode 100644
index 0000000000000000000000000000000000000000..8ae45c01f3d3387cb9190d1216b18aaa500e7151
--- /dev/null
+++ b/matlab/display_estimation_results_table.m
@@ -0,0 +1,560 @@
+function oo_=display_estimation_results_table(xparam1,stdh,M_,options_,estim_params_,bayestopt_,oo_,pnames,table_title,field_name)
+%function oo_=display_results_table(xparam1,stdh,M_,estim_params_,bayestopt_,oo_,pnames,table_title,field_name)
+% Display estimation results on screen and write them to TeX-file
+%
+% INPUTS
+% o xparam1 [double] (p*1) vector of estimate parameters.
+% o stdh [double] (p*1) vector of estimate parameters.
+% o M_ Matlab's structure describing the Model (initialized by dynare, see @ref{M_}).
+% o estim_params_ Matlab's structure describing the estimated_parameters (initialized by dynare, see @ref{estim_params_}).
+% o options_ Matlab's structure describing the options (initialized by dynare, see @ref{options_}).
+% o bayestopt_ Matlab's structure describing the priors (initialized by dynare, see @ref{bayesopt_}).
+% o oo_ Matlab's structure gathering the results (initialized by dynare, see @ref{oo_}).
+% o pnames [string] Character Array storing the names for prior distributions
+% o table_title [string] Title of the Table
+% o field_name [string] String storing the name of the fields for oo_ where the parameters are stored
+%
+% OUTPUTS
+% o oo_ Matlab's structure gathering the results
+%
+% SPECIAL REQUIREMENTS
+% None.
+
+% Copyright (C) 2013 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 <http://www.gnu.org/licenses/>.
+
+nvx = estim_params_.nvx; % Variance of the structural innovations (number of parameters).
+nvn = estim_params_.nvn; % Variance of the measurement innovations (number of parameters).
+ncx = estim_params_.ncx; % Covariance of the structural innovations (number of parameters).
+ncn = estim_params_.ncn; % Covariance of the measurement innovations (number of parameters).
+np = estim_params_.np ; % Number of deep parameters.
+nx = nvx+nvn+ncx+ncn+np; % Total number of parameters to be estimated.
+
+disp(' ')
+disp(['RESULTS FROM ' upper(table_title) ' ESTIMATION'])
+LaTeXtitle=strrep(table_title,' ','_');
+tstath = abs(xparam1)./stdh;
+
+header_width = row_header_width(M_,estim_params_,bayestopt_);
+if strcmp(field_name,'posterior')
+ tit1 = sprintf('%-*s %7s %8s %7s %4s %6s\n',header_width-2,' ','prior mean', ...
+ 'mode','s.d.','prior','pstdev');
+else
+ tit1 = sprintf('%-*s %10s %7s %6s\n',header_width-2,' ','Estimate','s.d.','t-stat');
+end
+if np
+ ip = nvx+nvn+ncx+ncn+1;
+ disp('parameters')
+ disp(tit1)
+ for i=1:np
+ name = bayestopt_.name{ip};
+ if strcmp(field_name,'posterior')
+ fprintf('%-*s %7.3f %8.4f %7.4f %4s %6.4f \n', ...
+ header_width,name, ...
+ bayestopt_.p1(ip),xparam1(ip),stdh(ip), ...
+ pnames(bayestopt_.pshape(ip)+1,:), ...
+ bayestopt_.p2(ip));
+ else
+ fprintf('%-*s %8.4f %7.4f %7.4f \n', ...
+ header_width,name,xparam1(ip),stdh(ip),tstath(ip));
+ end
+ eval(['oo_.' field_name '_mode.parameters.' name ' = xparam1(ip);']);
+ eval(['oo_.' field_name '_std.parameters.' name ' = stdh(ip);']);
+ ip = ip+1;
+ end
+ disp(' ')
+end
+if nvx
+ ip = 1;
+ disp('standard deviation of shocks')
+ disp(tit1)
+ for i=1:nvx
+ k = estim_params_.var_exo(i,1);
+ name = deblank(M_.exo_names(k,:));
+ if strcmp(field_name,'posterior')
+ fprintf('%-*s %7.3f %8.4f %7.4f %4s %6.4f \n', ...
+ header_width,name,bayestopt_.p1(ip),xparam1(ip), ...
+ stdh(ip),pnames(bayestopt_.pshape(ip)+1,:), ...
+ bayestopt_.p2(ip));
+ else
+ fprintf('%-*s %8.4f %7.4f %7.4f \n',header_width,name,xparam1(ip),stdh(ip),tstath(ip));
+ end
+ M_.Sigma_e(k,k) = xparam1(ip)*xparam1(ip);
+ eval(['oo_.' field_name '_mode.shocks_std.' name ' = xparam1(ip);']);
+ eval(['oo_.' field_name '_std.shocks_std.' name ' = stdh(ip);']);
+ ip = ip+1;
+ end
+ disp(' ')
+ end
+ if nvn
+ disp('standard deviation of measurement errors')
+ disp(tit1)
+ ip = nvx+1;
+ for i=1:nvn
+ name = deblank(options_.varobs(estim_params_.nvn_observable_correspondence(i,1),:));
+ if strcmp(field_name,'posterior')
+ fprintf('%-*s %7.3f %8.4f %7.4f %4s %6.4f \n', ...
+ header_width,name,bayestopt_.p1(ip), ...
+ xparam1(ip),stdh(ip), ...
+ pnames(bayestopt_.pshape(ip)+1,:), ...
+ bayestopt_.p2(ip));
+ else
+ fprintf('%-*s %8.4f %7.4f %7.4f \n',header_width,name,xparam1(ip),stdh(ip),tstath(ip))
+ end
+ eval(['oo_.' field_name '_mode.measurement_errors_std.' name ' = xparam1(ip);']);
+ eval(['oo_.' field_name '_std.measurement_errors_std.' name ' = stdh(ip);']);
+ ip = ip+1;
+ end
+ disp(' ')
+ end
+
+if ncx
+ disp('correlation of shocks')
+ disp(tit1)
+ ip = nvx+nvn+1;
+ for i=1:ncx
+ k1 = estim_params_.corrx(i,1);
+ k2 = estim_params_.corrx(i,2);
+ name = [deblank(M_.exo_names(k1,:)) ',' deblank(M_.exo_names(k2,:))];
+ NAME = [deblank(M_.exo_names(k1,:)) '_' deblank(M_.exo_names(k2,:))];
+ if strcmp(field_name,'posterior')
+ fprintf('%-*s %7.3f %8.4f %7.4f %4s %6.4f \n', ...
+ header_width,name,bayestopt_.p1(ip),xparam1(ip),stdh(ip), ...
+ pnames(bayestopt_.pshape(ip)+1,:), bayestopt_.p2(ip));
+ else
+ fprintf('%-*s %8.4f %7.4f %7.4f \n', header_width,name,xparam1(ip),stdh(ip),tstath(ip));
+ end
+ M_.Sigma_e(k1,k2) = xparam1(ip)*sqrt(M_.Sigma_e(k1,k1)*M_.Sigma_e(k2,k2));
+ M_.Sigma_e(k2,k1) = M_.Sigma_e(k1,k2);
+ eval(['oo_.' field_name '_mode.shocks_corr.' NAME ' = xparam1(ip);']);
+ eval(['oo_.' field_name '_std.shocks_corr.' NAME ' = stdh(ip);']);
+ ip = ip+1;
+ end
+ disp(' ')
+end
+
+if ncn
+ disp('correlation of measurement errors')
+ disp(tit1)
+ ip = nvx+nvn+ncx+1;
+ for i=1:ncn
+ k1 = estim_params_.corrn(i,1);
+ k2 = estim_params_.corrn(i,2);
+ name = [deblank(M_.endo_names(k1,:)) ',' deblank(M_.endo_names(k2,:))];
+ NAME = [deblank(M_.endo_names(k1,:)) '_' deblank(M_.endo_names(k2,:))];
+ if strcmp(field_name,'posterior')
+ fprintf('%-*s %7.3f %8.4f %7.4f %4s %6.4f \n', ...
+ header_width,name,bayestopt_.p1(ip),xparam1(ip),stdh(ip), ...
+ pnames(bayestopt_.pshape(ip)+1,:), bayestopt_.p2(ip));
+ else
+ fprintf('%-*s %8.4f %7.4f %7.4f \n',header_width,name,xparam1(ip),stdh(ip),tstath(ip));
+ end
+ eval(['oo_.' field_name '_mode.measurement_errors_corr.' NAME ' = xparam1(ip);']);
+ eval(['oo_.' field_name '_std.measurement_errors_corr.' NAME ' = stdh(ip);']);
+ ip = ip+1;
+ end
+ disp(' ')
+end
+
+OutputDirectoryName = CheckPath('Output',M_.dname);
+
+if any(bayestopt_.pshape > 0) && options_.TeX %% Bayesian estimation (posterior mode) Latex output
+ if np
+ filename = [OutputDirectoryName '/' M_.fname '_Posterior_Mode_1.TeX'];
+ fidTeX = fopen(filename,'w');
+ fprintf(fidTeX,'%% TeX-table generated by dynare_estimation (Dynare).\n');
+ fprintf(fidTeX,'%% RESULTS FROM POSTERIOR MAXIMIZATION (parameters)\n');
+ fprintf(fidTeX,['%% ' datestr(now,0)]);
+ fprintf(fidTeX,' \n');
+ fprintf(fidTeX,' \n');
+ fprintf(fidTeX,'\\begin{center}\n');
+ fprintf(fidTeX,'\\begin{longtable}{l|lcccc} \n');
+ fprintf(fidTeX,'\\caption{Results from posterior maximization (parameters)}\n ');
+ fprintf(fidTeX,'\\label{Table:Posterior:1}\\\\\n');
+ fprintf(fidTeX,'\\hline\\hline \\\\ \n');
+ fprintf(fidTeX,' & Prior distribution & Prior mean & Prior s.d. & Posterior mode & s.d. \\\\ \n');
+ fprintf(fidTeX,'\\hline \\endfirsthead \n');
+ fprintf(fidTeX,'\\caption{(continued)}\n ');
+ fprintf(fidTeX,'\\label{Table:Posterior:1}\\\\\n');
+ fprintf(fidTeX,'\\hline\\hline \\\\ \n');
+ fprintf(fidTeX,' & Prior distribution & Prior mean & Prior s.d. & Posterior mode & s.d. \\\\ \n');
+ fprintf(fidTeX,'\\hline \\endhead \n');
+ fprintf(fidTeX,'\\hline \\multicolumn{6}{r}{(Continued on next page)} \\\\ \\hline \\endfoot \n');
+ fprintf(fidTeX,'\\hline \\hline \\endlastfoot \n');
+ ip = nvx+nvn+ncx+ncn+1;
+ for i=1:np
+ fprintf(fidTeX,'$%s$ & %s & %7.3f & %6.4f & %8.4f & %7.4f \\\\ \n',...
+ M_.param_names_tex(estim_params_.param_vals(i,1),:),...
+ deblank(pnames(bayestopt_.pshape(ip)+1,:)),...
+ bayestopt_.p1(ip),...
+ bayestopt_.p2(ip),...
+ xparam1(ip),...
+ stdh(ip));
+ ip = ip + 1;
+ end
+ fprintf(fidTeX,'\\end{longtable}\n ');
+ fprintf(fidTeX,'\\end{center}\n');
+ fprintf(fidTeX,'%% End of TeX file.\n');
+ fclose(fidTeX);
+ end
+ if nvx
+ TeXfile = [OutputDirectoryName '/' M_.fname '_Posterior_Mode_2.TeX'];
+ fidTeX = fopen(TeXfile,'w');
+ fprintf(fidTeX,'%% TeX-table generated by dynare_estimation (Dynare).\n');
+ fprintf(fidTeX,'%% RESULTS FROM POSTERIOR MAXIMIZATION (standard deviation of structural shocks)\n');
+ fprintf(fidTeX,['%% ' datestr(now,0)]);
+ fprintf(fidTeX,' \n');
+ fprintf(fidTeX,' \n');
+ fprintf(fidTeX,'\\begin{center}\n');
+ fprintf(fidTeX,'\\begin{longtable}{l|lcccc} \n');
+ fprintf(fidTeX,'\\caption{Results from posterior maximization (standard deviation of structural shocks)}\n ');
+ fprintf(fidTeX,'\\label{Table:Posterior:2}\\\\\n');
+ fprintf(fidTeX,'\\hline\\hline \\\\ \n');
+ fprintf(fidTeX,' & Prior distribution & Prior mean & Prior s.d. & Posterior mode & s.d. \\\\ \n');
+ fprintf(fidTeX,'\\hline \\endfirsthead \n');
+ fprintf(fidTeX,'\\caption{(continued)}\n ');
+ fprintf(fidTeX,'\\label{Table:Posterior:2}\\\\\n');
+ fprintf(fidTeX,'\\hline\\hline \\\\ \n');
+ fprintf(fidTeX,' & Prior distribution & Prior mean & Prior s.d. & Posterior mode & s.d. \\\\ \n');
+ fprintf(fidTeX,'\\hline \\endhead \n');
+ fprintf(fidTeX,'\\hline \\multicolumn{6}{r}{(Continued on next page)} \\\\ \\hline \\endfoot \n');
+ fprintf(fidTeX,'\\hline \\hline \\endlastfoot \n');
+ ip = 1;
+ for i=1:nvx
+ k = estim_params_.var_exo(i,1);
+ fprintf(fidTeX,[ '$%s$ & %4s & %7.3f & %6.4f & %8.4f & %7.4f \\\\ \n'],...
+ deblank(M_.exo_names_tex(k,:)),...
+ deblank(pnames(bayestopt_.pshape(ip)+1,:)),...
+ bayestopt_.p1(ip),...
+ bayestopt_.p2(ip),...
+ xparam1(ip), ...
+ stdh(ip));
+ ip = ip+1;
+ end
+ fprintf(fidTeX,'\\end{longtable}\n ');
+ fprintf(fidTeX,'\\end{center}\n');
+ fprintf(fidTeX,'%% End of TeX file.\n');
+ fclose(fidTeX);
+ end
+ if nvn
+ TeXfile = [OutputDirectoryName '/' M_.fname '_Posterior_Mode_3.TeX'];
+ fidTeX = fopen(TeXfile,'w');
+ fprintf(fidTeX,'%% TeX-table generated by dynare_estimation (Dynare).\n');
+ fprintf(fidTeX,'%% RESULTS FROM POSTERIOR MAXIMIZATION (standard deviation of measurement errors)\n');
+ fprintf(fidTeX,['%% ' datestr(now,0)]);
+ fprintf(fidTeX,' \n');
+ fprintf(fidTeX,' \n');
+ fprintf(fidTeX,'\\begin{center}\n');
+ fprintf(fidTeX,'\\begin{longtable}{l|lcccc} \n');
+ fprintf(fidTeX,'\\caption{Results from posterior maximization (standard deviation of measurement errors)}\n ');
+ fprintf(fidTeX,'\\label{Table:Posterior:3}\\\\\n');
+ fprintf(fidTeX,'\\hline\\hline \\\\ \n');
+ fprintf(fidTeX,' & Prior distribution & Prior mean & Prior s.d. & Posterior mode & s.d. \\\\ \n');
+ fprintf(fidTeX,'\\hline \\endfirsthead \n');
+ fprintf(fidTeX,'\\caption{(continued)}\n ');
+ fprintf(fidTeX,'\\label{Table:Posterior:3}\\\\\n');
+ fprintf(fidTeX,'\\hline\\hline \\\\ \n');
+ fprintf(fidTeX,' & Prior distribution & Prior mean & Prior s.d. & Posterior mode & s.d. \\\\ \n');
+ fprintf(fidTeX,'\\hline \\endhead \n');
+ fprintf(fidTeX,'\\hline \\multicolumn{6}{r}{(Continued on next page)} \\\\ \\hline \\endfoot \n');
+ fprintf(fidTeX,'\\hline \\hline \\endlastfoot \n');
+ ip = nvx+1;
+ for i=1:nvn
+ idx = strmatch(options_.varobs(estim_params_.nvn_observable_correspondence(i,1),:),M_.endo_names);
+ fprintf(fidTeX,'$%s$ & %4s & %7.3f & %6.4f & %8.4f & %7.4f \\\\ \n',...
+ deblank(M_.endo_names_tex(idx,:)), ...
+ deblank(pnames(bayestopt_.pshape(ip)+1,:)), ...
+ bayestopt_.p1(ip), ...
+ bayestopt_.p2(ip),...
+ xparam1(ip),...
+ stdh(ip));
+ ip = ip+1;
+ end
+ fprintf(fidTeX,'\\end{longtable}\n ');
+ fprintf(fidTeX,'\\end{center}\n');
+ fprintf(fidTeX,'%% End of TeX file.\n');
+ fclose(fidTeX);
+ end
+ if ncx
+ TeXfile = [OutputDirectoryName '/' M_.fname '_Posterior_Mode_4.TeX'];
+ fidTeX = fopen(TeXfile,'w');
+ fprintf(fidTeX,'%% TeX-table generated by dynare_estimation (Dynare).\n');
+ fprintf(fidTeX,'%% RESULTS FROM POSTERIOR MAXIMIZATION (correlation of structural shocks)\n');
+ fprintf(fidTeX,['%% ' datestr(now,0)]);
+ fprintf(fidTeX,' \n');
+ fprintf(fidTeX,' \n');
+ fprintf(fidTeX,'\\begin{center}\n');
+ fprintf(fidTeX,'\\begin{longtable}{l|lcccc} \n');
+ fprintf(fidTeX,'\\caption{Results from posterior parameters (correlation of structural shocks)}\n ');
+ fprintf(fidTeX,'\\label{Table:Posterior:4}\\\\\n');
+ fprintf(fidTeX,'\\hline\\hline \\\\ \n');
+ fprintf(fidTeX,' & Prior distribution & Prior mean & Prior s.d. & Posterior mode & s.d. \\\\ \n');
+ fprintf(fidTeX,'\\hline \\endfirsthead \n');
+ fprintf(fidTeX,'\\caption{(continued)}\n ');
+ fprintf(fidTeX,'\\label{Table:Posterior:4}\\\\\n');
+ fprintf(fidTeX,'\\hline\\hline \\\\ \n');
+ fprintf(fidTeX,' & Prior distribution & Prior mean & Prior s.d. & Posterior mode & s.d. \\\\ \n');
+ fprintf(fidTeX,'\\hline \\endhead \n');
+ fprintf(fidTeX,'\\hline \\multicolumn{6}{r}{(Continued on next page)} \\\\ \\hline \\endfoot \n');
+ fprintf(fidTeX,'\\hline \\hline \\endlastfoot \n');
+ ip = nvx+nvn+1;
+ for i=1:ncx
+ k1 = estim_params_.corrx(i,1);
+ k2 = estim_params_.corrx(i,2);
+ fprintf(fidTeX,[ '$%s$ & %s & %7.3f & %6.4f & %8.4f & %7.4f \\\\ \n'],...
+ [deblank(M_.exo_names_tex(k1,:)) ',' deblank(M_.exo_names_tex(k2,:))], ...
+ deblank(pnames(bayestopt_.pshape(ip)+1,:)), ...
+ bayestopt_.p1(ip), ...
+ bayestopt_.p2(ip), ...
+ xparam1(ip), ...
+ stdh(ip));
+ ip = ip+1;
+ end
+ fprintf(fidTeX,'\\end{longtable}\n ');
+ fprintf(fidTeX,'\\end{center}\n');
+ fprintf(fidTeX,'%% End of TeX file.\n');
+ fclose(fidTeX);
+ end
+ if ncn
+ TeXfile = [OutputDirectoryName '/' M_.fname '_Posterior_Mode_5.TeX'];
+ fidTeX = fopen(TeXfile,'w');
+ fprintf(fidTeX,'%% TeX-table generated by dynare_estimation (Dynare).\n');
+ fprintf(fidTeX,'%% RESULTS FROM POSTERIOR MAXIMIZATION (correlation of measurement errors)\n');
+ fprintf(fidTeX,['%% ' datestr(now,0)]);
+ fprintf(fidTeX,' \n');
+ fprintf(fidTeX,' \n');
+ fprintf(fidTeX,'\\begin{center}\n');
+ fprintf(fidTeX,'\\begin{longtable}{l|lcccc} \n');
+ fprintf(fidTeX,'\\caption{Results from posterior parameters (correlation of measurement errors)}\n ');
+ fprintf(fidTeX,'\\label{Table:Posterior:5}\\\\\n');
+ fprintf(fidTeX,'\\hline\\hline \\\\ \n');
+ fprintf(fidTeX,' & Prior distribution & Prior mean & Prior s.d. & Posterior mode & s.d. \\\\ \n');
+ fprintf(fidTeX,'\\hline \\endfirsthead \n');
+ fprintf(fidTeX,'\\caption{(continued)}\n ');
+ fprintf(fidTeX,'\\label{Table:Posterior:5}\\\\\n');
+ fprintf(fidTeX,'\\hline\\hline \\\\ \n');
+ fprintf(fidTeX,' & Prior distribution & Prior mean & Prior s.d. & Posterior mode & s.d. \\\\ \n');
+ fprintf(fidTeX,'\\hline \\endhead \n');
+ fprintf(fidTeX,'\\hline \\multicolumn{6}{r}{(Continued on next page)} \\\\ \\hline \\endfoot \n');
+ fprintf(fidTeX,'\\hline \\hline \\endlastfoot \n');
+ ip = nvx+nvn+ncx+1;
+ for i=1:ncn
+ k1 = estim_params_.corrn(i,1);
+ k2 = estim_params_.corrn(i,2);
+ fprintf(fidTeX,'$%s$ & %s & %7.3f & %6.4f & %8.4f & %7.4f \\\\ \n',...
+ [deblank(M_.endo_names_tex(k1,:)) ',' deblank(M_.endo_names_tex(k2,:))], ...
+ pnames(bayestopt_.pshape(ip)+1,:), ...
+ bayestopt_.p1(ip), ...
+ bayestopt_.p2(ip), ...
+ xparam1(ip), ...
+ stdh(ip));
+ ip = ip+1;
+ end
+ fprintf(fidTeX,'\\end{longtable}\n ');
+ fprintf(fidTeX,'\\end{center}\n');
+ fprintf(fidTeX,'%% End of TeX file.\n');
+ fclose(fidTeX);
+ end
+elseif all(bayestopt_.pshape == 0) && options_.TeX %% MLE and GMM Latex output
+ if np
+ filename = [OutputDirectoryName '/' M_.fname '_' LaTeXtitle '_Mode_1.TeX'];
+ fidTeX = fopen(filename,'w');
+ fprintf(fidTeX,'%% TeX-table generated by dynare_estimation (Dynare).\n');
+ fprintf(fidTeX,['%% RESULTS FROM ' table_title ' MAXIMIZATION (parameters)\n']);
+ fprintf(fidTeX,['%% ' datestr(now,0)]);
+ fprintf(fidTeX,' \n');
+ fprintf(fidTeX,' \n');
+ fprintf(fidTeX,'\\begin{center}\n');
+ fprintf(fidTeX,'\\begin{longtable}{l|lcc} \n');
+ fprintf(fidTeX,['\\caption{Results from ' table_title ' maximization (parameters)}\n ']);
+ fprintf(fidTeX,['\\label{Table:' LaTeXtitle ':1}\\\\\n']);
+ fprintf(fidTeX,'\\hline\\hline \\\\ \n');
+ fprintf(fidTeX,' & Mode & s.d. & t-stat\\\\ \n');
+ fprintf(fidTeX,'\\hline \\endfirsthead \n');
+ fprintf(fidTeX,'\\caption{(continued)}\n ');
+ fprintf(fidTeX,['\\label{Table:' LaTeXtitle ':1}\\\\\n']);
+ fprintf(fidTeX,'\\hline\\hline \\\\ \n');
+ fprintf(fidTeX,' & Mode & s.d. & t-stat\\\\ \n');
+ fprintf(fidTeX,'\\hline \\endhead \n');
+ fprintf(fidTeX,'\\hline \\multicolumn{4}{r}{(Continued on next page)} \\\\ \\hline \\endfoot \n');
+ fprintf(fidTeX,'\\hline \\hline \\endlastfoot \n');
+ ip = nvx+nvn+ncx+ncn+1;
+ for i=1:np
+ fprintf(fidTeX,'$%s$ & %8.4f & %7.4f & %7.4f\\\\ \n',...
+ M_.param_names_tex(estim_params_.param_vals(i,1),:),...
+ xparam1(ip),...
+ stdh(ip),...
+ tstath(ip));
+ ip = ip + 1;
+ end
+ fprintf(fidTeX,'\\end{longtable}\n ');
+ fprintf(fidTeX,'\\end{center}\n');
+ fprintf(fidTeX,'%% End of TeX file.\n');
+ fclose(fidTeX);
+ end
+ if nvx
+ filename = [OutputDirectoryName '/' M_.fname '_' LaTeXtitle '_Mode_2.TeX'];
+ fidTeX = fopen(filename,'w');
+ fprintf(fidTeX,'%% TeX-table generated by dynare_estimation (Dynare).\n');
+ fprintf(fidTeX,['%% RESULTS FROM ' table_title ' MAXIMIZATION (standard deviation of structural shocks)\n']);
+ fprintf(fidTeX,['%% ' datestr(now,0)]);
+ fprintf(fidTeX,' \n');
+ fprintf(fidTeX,' \n');
+ fprintf(fidTeX,'\\begin{center}\n');
+ fprintf(fidTeX,'\\begin{longtable}{l|lcc} \n');
+ fprintf(fidTeX,['\\caption{Results from ' table_title ' maximization (standard deviation of structural shocks)}\n ']);
+ fprintf(fidTeX,['\\label{Table:' LaTeXtitle ':2}\\\\\n']);
+ fprintf(fidTeX,'\\hline\\hline \\\\ \n');
+ fprintf(fidTeX,' & Mode & s.d. & t-stat\\\\ \n');
+ fprintf(fidTeX,'\\hline \\endfirsthead \n');
+ fprintf(fidTeX,'\\caption{(continued)}\n ');
+ fprintf(fidTeX,['\\label{Table:' LaTeXtitle ':2}\\\\\n']);
+ fprintf(fidTeX,'\\hline\\hline \\\\ \n');
+ fprintf(fidTeX,' & Mode & s.d. & t-stat\\\\ \n');
+ fprintf(fidTeX,'\\hline \\endhead \n');
+ fprintf(fidTeX,'\\hline \\multicolumn{4}{r}{(Continued on next page)} \\\\ \\hline \\endfoot \n');
+ fprintf(fidTeX,'\\hline \\hline \\endlastfoot \n');
+ ip = 1;
+ for i=1:nvx
+ k = estim_params_.var_exo(i,1);
+ fprintf(fidTeX,[ '$%s$ & %8.4f & %7.4f & %7.4f\\\\ \n'],...
+ deblank(M_.exo_names_tex(k,:)),...
+ xparam1(ip), ...
+ stdh(ip),...
+ tstath(ip));
+ ip = ip+1;
+ end
+ fprintf(fidTeX,'\\end{longtable}\n ');
+ fprintf(fidTeX,'\\end{center}\n');
+ fprintf(fidTeX,'%% End of TeX file.\n');
+ fclose(fidTeX);
+ end
+ if nvn
+ filename = [OutputDirectoryName '/' M_.fname '_' LaTeXtitle '_Mode_3.TeX'];
+ fidTeX = fopen(filename,'w');
+ fprintf(fidTeX,'%% TeX-table generated by dynare_estimation (Dynare).\n');
+ fprintf(fidTeX,['%% RESULTS FROM ' table_title ' MAXIMIZATION (standard deviation of measurement errors)\n']);
+ fprintf(fidTeX,['%% ' datestr(now,0)]);
+ fprintf(fidTeX,' \n');
+ fprintf(fidTeX,' \n');
+ fprintf(fidTeX,'\\begin{center}\n');
+ fprintf(fidTeX,'\\begin{longtable}{l|lcc} \n');
+ fprintf(fidTeX,['\\caption{Results from ' table_title ' maximization (standard deviation of measurement errors)}\n ']);
+ fprintf(fidTeX,['\\label{Table:' LaTeXtitle ':3}\\\\\n']);
+ fprintf(fidTeX,'\\hline\\hline \\\\ \n');
+ fprintf(fidTeX,' & Mode & s.d. & t-stat\\\\ \n');
+ fprintf(fidTeX,'\\hline \\endfirsthead \n');
+ fprintf(fidTeX,'\\caption{(continued)}\n ');
+ fprintf(fidTeX,['\\label{Table:' LaTeXtitle ':3}\\\\\n']);
+ fprintf(fidTeX,'\\hline\\hline \\\\ \n');
+ fprintf(fidTeX,' & Mode & s.d. & t-stat\\\\ \n');
+ fprintf(fidTeX,'\\hline \\endhead \n');
+ fprintf(fidTeX,'\\hline \\multicolumn{4}{r}{(Continued on next page)} \\\\ \\hline \\endfoot \n');
+ fprintf(fidTeX,'\\hline \\hline \\endlastfoot \n');
+ ip = nvx+1;
+ for i=1:nvn
+ idx = strmatch(options_.varobs(estim_params_.nvn_observable_correspondence(i,1),:),M_.endo_names);
+ fprintf(fidTeX,'$%s$ & %8.4f & %7.4f & %7.4f \\\\ \n',...
+ deblank(M_.endo_names_tex(idx,:)), ...
+ xparam1(ip),...
+ stdh(ip),...
+ tstath(ip));
+ ip = ip+1;
+ end
+ fprintf(fidTeX,'\\end{longtable}\n ');
+ fprintf(fidTeX,'\\end{center}\n');
+ fprintf(fidTeX,'%% End of TeX file.\n');
+ fclose(fidTeX);
+ end
+ if ncx
+ filename = [OutputDirectoryName '/' M_.fname '_' LaTeXtitle '_Mode_4.TeX'];
+ fidTeX = fopen(filename,'w');
+ fprintf(fidTeX,'%% TeX-table generated by dynare_estimation (Dynare).\n');
+ fprintf(fidTeX,['%% RESULTS FROM ' table_title ' MAXIMIZATION (correlation of structural shocks)\n']);
+ fprintf(fidTeX,['%% ' datestr(now,0)]);
+ fprintf(fidTeX,' \n');
+ fprintf(fidTeX,' \n');
+ fprintf(fidTeX,'\\begin{center}\n');
+ fprintf(fidTeX,'\\begin{longtable}{l|lcc} \n');
+ fprintf(fidTeX,['\\caption{Results from ' table_title ' maximization (correlation of structural shocks)}\n ']);
+ fprintf(fidTeX,['\\label{Table:' LaTeXtitle ':4}\\\\\n']);
+ fprintf(fidTeX,'\\hline\\hline \\\\ \n');
+ fprintf(fidTeX,' & Mode & s.d. & t-stat\\\\ \n');
+ fprintf(fidTeX,'\\hline \\endfirsthead \n');
+ fprintf(fidTeX,'\\caption{(continued)}\n ');
+ fprintf(fidTeX,['\\label{Table:' LaTeXtitle ':4}\\\\\n']);
+ fprintf(fidTeX,'\\hline\\hline \\\\ \n');
+ fprintf(fidTeX,' & Mode & s.d. & t-stat\\\\ \n');
+ fprintf(fidTeX,'\\hline \\endhead \n');
+ fprintf(fidTeX,'\\hline \\multicolumn{4}{r}{(Continued on next page)} \\\\ \\hline \\endfoot \n');
+ fprintf(fidTeX,'\\hline \\hline \\endlastfoot \n');
+ ip = nvx+nvn+1;
+ for i=1:ncx
+ k1 = estim_params_.corrx(i,1);
+ k2 = estim_params_.corrx(i,2);
+ fprintf(fidTeX,[ '$%s$ & %8.4f & %7.4f & %7.4f \\\\ \n'],...
+ [deblank(M_.exo_names_tex(k1,:)) ',' deblank(M_.exo_names_tex(k2,:))], ...
+ xparam1(ip), ...
+ stdh(ip),...
+ tstath(ip));
+ ip = ip+1;
+ end
+ fprintf(fidTeX,'\\end{longtable}\n ');
+ fprintf(fidTeX,'\\end{center}\n');
+ fprintf(fidTeX,'%% End of TeX file.\n');
+ fclose(fidTeX);
+ end
+ if ncn
+ filename = [OutputDirectoryName '/' M_.fname '_' LaTeXtitle '_Mode_5.TeX'];
+ fidTeX = fopen(filename,'w');
+ fprintf(fidTeX,'%% TeX-table generated by dynare_estimation (Dynare).\n');
+ fprintf(fidTeX,['%% RESULTS FROM ' table_title ' MAXIMIZATION (correlation of measurement errors)\n']);
+ fprintf(fidTeX,['%% ' datestr(now,0)]);
+ fprintf(fidTeX,' \n');
+ fprintf(fidTeX,' \n');
+ fprintf(fidTeX,'\\begin{center}\n');
+ fprintf(fidTeX,'\\begin{longtable}{l|lcc} \n');
+ fprintf(fidTeX,['\\caption{Results from ' table_title ' maximization (correlation of measurement errors)}\n ']);
+ fprintf(fidTeX,['\\label{Table:' LaTeXtitle ':5}\\\\\n']);
+ fprintf(fidTeX,'\\hline\\hline \\\\ \n');
+ fprintf(fidTeX,' & Mode & s.d. & t-stat\\\\ \n');
+ fprintf(fidTeX,'\\hline \\endfirsthead \n');
+ fprintf(fidTeX,'\\caption{(continued)}\n ');
+ fprintf(fidTeX,['\\label{Table:' LaTeXtitle ':5}\\\\\n']);
+ fprintf(fidTeX,'\\hline\\hline \\\\ \n');
+ fprintf(fidTeX,' & Mode & s.d. & t-stat\\\\ \n');
+ fprintf(fidTeX,'\\hline \\endhead \n');
+ fprintf(fidTeX,'\\hline \\multicolumn{4}{r}{(Continued on next page)} \\\\ \\hline \\endfoot \n');
+ fprintf(fidTeX,'\\hline \\hline \\endlastfoot \n');
+ ip = nvx+nvn+ncx+1;
+ for i=1:ncn
+ k1 = estim_params_.corrn(i,1);
+ k2 = estim_params_.corrn(i,2);
+ fprintf(fidTeX,'$%s$ & %8.4f & %7.4f & %7.4f \\\\ \n',...
+ [deblank(M_.endo_names_tex(k1,:)) ',' deblank(M_.endo_names_tex(k2,:))], ...
+ xparam1(ip), ...
+ stdh(ip),...
+ tstath(ip));
+ ip = ip+1;
+ end
+ fprintf(fidTeX,'\\end{longtable}\n ');
+ fprintf(fidTeX,'\\end{center}\n');
+ fprintf(fidTeX,'%% End of TeX file.\n');
+ fclose(fidTeX);
+ end
+
+end
\ No newline at end of file
diff --git a/matlab/dynare_estimation_1.m b/matlab/dynare_estimation_1.m
index 7efbd29c99c6f2ae7cc6d627397858b1e972ca03..1ec2ddc2ea12cce7269ef98e1a684f78707f324f 100644
--- a/matlab/dynare_estimation_1.m
+++ b/matlab/dynare_estimation_1.m
@@ -523,102 +523,8 @@ if ~options_.cova_compute
end
if any(bayestopt_.pshape > 0) && ~options_.mh_posterior_mode_estimation
- disp(' ')
- disp('RESULTS FROM POSTERIOR MAXIMIZATION')
- tstath = zeros(nx,1);
- for i = 1:nx
- tstath(i) = abs(xparam1(i))/stdh(i);
- end
-
- header_width = row_header_width(M_,estim_params_,bayestopt_);
-
- tit1 = sprintf('%-*s %7s %8s %7s %6s %4s %6s\n',header_width-2,' ','prior mean', ...
- 'mode','s.d.','t-stat','prior','pstdev');
- if np
- ip = nvx+nvn+ncx+ncn+1;
- disp('parameters')
- disp(tit1)
- for i=1:np
- name = bayestopt_.name{ip};
- disp(sprintf('%-*s %7.3f %8.4f %7.4f %7.4f %4s %6.4f', ...
- header_width,name, ...
- bayestopt_.p1(ip),xparam1(ip),stdh(ip),tstath(ip), ...
- pnames(bayestopt_.pshape(ip)+1,:), ...
- bayestopt_.p2(ip)));
- eval(['oo_.posterior_mode.parameters.' name ' = xparam1(ip);']);
- eval(['oo_.posterior_std.parameters.' name ' = stdh(ip);']);
- ip = ip+1;
- end
- end
- if nvx
- ip = 1;
- disp('standard deviation of shocks')
- disp(tit1)
- for i=1:nvx
- k = estim_params_.var_exo(i,1);
- name = deblank(M_.exo_names(k,:));
- disp(sprintf('%-*s %7.3f %8.4f %7.4f %7.4f %4s %6.4f', ...
- header_width,name,bayestopt_.p1(ip),xparam1(ip), ...
- stdh(ip),tstath(ip),pnames(bayestopt_.pshape(ip)+1,:), ...
- bayestopt_.p2(ip)));
- M_.Sigma_e(k,k) = xparam1(ip)*xparam1(ip);
- eval(['oo_.posterior_mode.shocks_std.' name ' = xparam1(ip);']);
- eval(['oo_.posterior_std.shocks_std.' name ' = stdh(ip);']);
- ip = ip+1;
- end
- end
- if nvn
- disp('standard deviation of measurement errors')
- disp(tit1)
- ip = nvx+1;
- for i=1:nvn
- name = deblank(options_.varobs(estim_params_.nvn_observable_correspondence(i,1),:));
- disp(sprintf('%-*s %7.3f %8.4f %7.4f %7.4f %4s %6.4f', ...
- header_width,name,bayestopt_.p1(ip), ...
- xparam1(ip),stdh(ip),tstath(ip), ...
- pnames(bayestopt_.pshape(ip)+1,:), ...
- bayestopt_.p2(ip)));
- eval(['oo_.posterior_mode.measurement_errors_std.' name ' = xparam1(ip);']);
- eval(['oo_.posterior_std.measurement_errors_std.' name ' = stdh(ip);']);
- ip = ip+1;
- end
- end
- if ncx
- disp('correlation of shocks')
- disp(tit1)
- ip = nvx+nvn+1;
- for i=1:ncx
- k1 = estim_params_.corrx(i,1);
- k2 = estim_params_.corrx(i,2);
- name = [deblank(M_.exo_names(k1,:)) ',' deblank(M_.exo_names(k2,:))];
- NAME = [deblank(M_.exo_names(k1,:)) '_' deblank(M_.exo_names(k2,:))];
- disp(sprintf('%-*s %7.3f %8.4f %7.4f %7.4f %4s %6.4f', ...
- header_width,name,bayestopt_.p1(ip),xparam1(ip),stdh(ip),tstath(ip), ...
- pnames(bayestopt_.pshape(ip)+1,:), bayestopt_.p2(ip)));
- M_.Sigma_e(k1,k2) = xparam1(ip)*sqrt(M_.Sigma_e(k1,k1)*M_.Sigma_e(k2,k2));
- M_.Sigma_e(k2,k1) = M_.Sigma_e(k1,k2);
- eval(['oo_.posterior_mode.shocks_corr.' NAME ' = xparam1(ip);']);
- eval(['oo_.posterior_std.shocks_corr.' NAME ' = stdh(ip);']);
- ip = ip+1;
- end
- end
- if ncn
- disp('correlation of measurement errors')
- disp(tit1)
- ip = nvx+nvn+ncx+1;
- for i=1:ncn
- k1 = estim_params_.corrn(i,1);
- k2 = estim_params_.corrn(i,2);
- name = [deblank(M_.endo_names(k1,:)) ',' deblank(M_.endo_names(k2,:))];
- NAME = [deblank(M_.endo_names(k1,:)) '_' deblank(M_.endo_names(k2,:))];
- disp(sprintf('%-*s %7.3f %8.4f %7.4f %7.4f %4s %6.4f', ...
- header_width,name,bayestopt_.p1(ip),xparam1(ip),stdh(ip),tstath(ip), ...
- pnames(bayestopt_.pshape(ip)+1,:), bayestopt_.p2(ip)));
- eval(['oo_.posterior_mode.measurement_errors_corr.' NAME ' = xparam1(ip);']);
- eval(['oo_.posterior_std.measurement_errors_corr.' NAME ' = stdh(ip);']);
- ip = ip+1;
- end
- end
+ %% display results table and store parameter estimates and standard errors in results
+ oo_=display_estimation_results_table(xparam1,stdh,M_,options_,estim_params_,bayestopt_,oo_,pnames,'Posterior','posterior');
%% Laplace approximation to the marginal log density:
if options_.cova_compute
estim_params_nbr = size(xparam1,1);
@@ -631,289 +537,11 @@ if any(bayestopt_.pshape > 0) && ~options_.mh_posterior_mode_estimation
disp(' ')
end
elseif ~any(bayestopt_.pshape > 0) && ~options_.mh_posterior_mode_estimation
- disp(' ')
- disp('RESULTS FROM MAXIMUM LIKELIHOOD')
- tstath = zeros(nx,1);
- for i = 1:nx
- tstath(i) = abs(xparam1(i))/stdh(i);
- end
- header_width = row_header_width(M_,estim_params_,bayestopt_);
- tit1 = sprintf('%-*s %10s %7s %6s\n',header_width-2,' ','Estimate','s.d.','t-stat');
- if np
- ip = nvx+nvn+ncx+ncn+1;
- disp('parameters')
- disp(tit1)
- for i=1:np
- name = bayestopt_.name{ip};
- disp(sprintf('%-*s %8.4f %7.4f %7.4f', ...
- header_width,name,xparam1(ip),stdh(ip),tstath(ip)));
- eval(['oo_.mle_mode.parameters.' name ' = xparam1(ip);']);
- eval(['oo_.mle_std.parameters.' name ' = stdh(ip);']);
- ip = ip+1;
- end
- end
- if nvx
- ip = 1;
- disp('standard deviation of shocks')
- disp(tit1)
- for i=1:nvx
- k = estim_params_.var_exo(i,1);
- name = deblank(M_.exo_names(k,:));
- disp(sprintf('%-*s %8.4f %7.4f %7.4f',header_width,name,xparam1(ip),stdh(ip),tstath(ip)));
- M_.Sigma_e(k,k) = xparam1(ip)*xparam1(ip);
- eval(['oo_.mle_mode.shocks_std.' name ' = xparam1(ip);']);
- eval(['oo_.mle_std.shocks_std.' name ' = stdh(ip);']);
- ip = ip+1;
- end
- end
- if nvn
- disp('standard deviation of measurement errors')
- disp(tit1)
- ip = nvx+1;
- for i=1:nvn
- name = deblank(options_.varobs(estim_params_.nvn_observable_correspondence(i,1),:));
- disp(sprintf('%-*s %8.4f %7.4f %7.4f',header_width,name,xparam1(ip),stdh(ip),tstath(ip)))
- eval(['oo_.mle_mode.measurement_errors_std.' name ' = xparam1(ip);']);
- eval(['oo_.mle_std.measurement_errors_std.' name ' = stdh(ip);']);
- ip = ip+1;
- end
- end
- if ncx
- disp('correlation of shocks')
- disp(tit1)
- ip = nvx+nvn+1;
- for i=1:ncx
- k1 = estim_params_.corrx(i,1);
- k2 = estim_params_.corrx(i,2);
- name = [deblank(M_.exo_names(k1,:)) ',' deblank(M_.exo_names(k2,:))];
- NAME = [deblank(M_.exo_names(k1,:)) '_' deblank(M_.exo_names(k2,:))];
- disp(sprintf('%-*s %8.4f %7.4f %7.4f', header_width,name,xparam1(ip),stdh(ip),tstath(ip)));
- M_.Sigma_e(k1,k2) = xparam1(ip)*sqrt(M_.Sigma_e(k1,k1)*M_.Sigma_e(k2,k2));
- M_.Sigma_e(k2,k1) = M_.Sigma_e(k1,k2);
- eval(['oo_.mle_mode.shocks_corr.' NAME ' = xparam1(ip);']);
- eval(['oo_.mle_std.shocks_corr.' NAME ' = stdh(ip);']);
- ip = ip+1;
- end
- end
- if ncn
- disp('correlation of measurement errors')
- disp(tit1)
- ip = nvx+nvn+ncx+1;
- for i=1:ncn
- k1 = estim_params_.corrn(i,1);
- k2 = estim_params_.corrn(i,2);
- name = [deblank(M_.endo_names(k1,:)) ',' deblank(M_.endo_names(k2,:))];
- NAME = [deblank(M_.endo_names(k1,:)) '_' deblank(M_.endo_names(k2,:))];
- disp(sprintf('%-*s %8.4f %7.4f %7.4f',header_width,name,xparam1(ip),stdh(ip),tstath(ip)));
- eval(['oo_.mle_mode.measurement_error_corr.' NAME ' = xparam1(ip);']);
- eval(['oo_.mle_std.measurement_error_corr.' NAME ' = stdh(ip);']);
- ip = ip+1;
- end
- end
+ oo_=display_estimation_results_table(xparam1,stdh,M_,options_,estim_params_,bayestopt_,oo_,pnames,'Maximum Likelihood','mle');
end
-
OutputDirectoryName = CheckPath('Output',M_.dname);
-if any(bayestopt_.pshape > 0) && options_.TeX %% Bayesian estimation (posterior mode) Latex output
- if np
- filename = [OutputDirectoryName '/' M_.fname '_Posterior_Mode_1.TeX'];
- fidTeX = fopen(filename,'w');
- fprintf(fidTeX,'%% TeX-table generated by dynare_estimation (Dynare).\n');
- fprintf(fidTeX,'%% RESULTS FROM POSTERIOR MAXIMIZATION (parameters)\n');
- fprintf(fidTeX,['%% ' datestr(now,0)]);
- fprintf(fidTeX,' \n');
- fprintf(fidTeX,' \n');
- fprintf(fidTeX,'\\begin{center}\n');
- fprintf(fidTeX,'\\begin{longtable}{l|lcccc} \n');
- fprintf(fidTeX,'\\caption{Results from posterior maximization (parameters)}\n ');
- fprintf(fidTeX,'\\label{Table:Posterior:1}\\\\\n');
- fprintf(fidTeX,'\\hline\\hline \\\\ \n');
- fprintf(fidTeX,' & Prior distribution & Prior mean & Prior s.d. & Posterior mode & s.d. \\\\ \n');
- fprintf(fidTeX,'\\hline \\endfirsthead \n');
- fprintf(fidTeX,'\\caption{(continued)}\n ');
- fprintf(fidTeX,'\\label{Table:Posterior:1}\\\\\n');
- fprintf(fidTeX,'\\hline\\hline \\\\ \n');
- fprintf(fidTeX,' & Prior distribution & Prior mean & Prior s.d. & Posterior mode & s.d. \\\\ \n');
- fprintf(fidTeX,'\\hline \\endhead \n');
- fprintf(fidTeX,'\\hline \\multicolumn{6}{r}{(Continued on next page)} \\\\ \\hline \\endfoot \n');
- fprintf(fidTeX,'\\hline \\hline \\endlastfoot \n');
- ip = nvx+nvn+ncx+ncn+1;
- for i=1:np
- fprintf(fidTeX,'$%s$ & %s & %7.3f & %6.4f & %8.4f & %7.4f \\\\ \n',...
- M_.param_names_tex(estim_params_.param_vals(i,1),:),...
- deblank(pnames(bayestopt_.pshape(ip)+1,:)),...
- bayestopt_.p1(ip),...
- bayestopt_.p2(ip),...
- xparam1(ip),...
- stdh(ip));
- ip = ip + 1;
- end
- fprintf(fidTeX,'\\end{longtable}\n ');
- fprintf(fidTeX,'\\end{center}\n');
- fprintf(fidTeX,'%% End of TeX file.\n');
- fclose(fidTeX);
- end
- if nvx
- TeXfile = [OutputDirectoryName '/' M_.fname '_Posterior_Mode_2.TeX'];
- fidTeX = fopen(TeXfile,'w');
- fprintf(fidTeX,'%% TeX-table generated by dynare_estimation (Dynare).\n');
- fprintf(fidTeX,'%% RESULTS FROM POSTERIOR MAXIMIZATION (standard deviation of structural shocks)\n');
- fprintf(fidTeX,['%% ' datestr(now,0)]);
- fprintf(fidTeX,' \n');
- fprintf(fidTeX,' \n');
- fprintf(fidTeX,'\\begin{center}\n');
- fprintf(fidTeX,'\\begin{longtable}{l|lcccc} \n');
- fprintf(fidTeX,'\\caption{Results from posterior maximization (standard deviation of structural shocks)}\n ');
- fprintf(fidTeX,'\\label{Table:Posterior:2}\\\\\n');
- fprintf(fidTeX,'\\hline\\hline \\\\ \n');
- fprintf(fidTeX,' & Prior distribution & Prior mean & Prior s.d. & Posterior mode & s.d. \\\\ \n');
- fprintf(fidTeX,'\\hline \\endfirsthead \n');
- fprintf(fidTeX,'\\caption{(continued)}\n ');
- fprintf(fidTeX,'\\label{Table:Posterior:2}\\\\\n');
- fprintf(fidTeX,'\\hline\\hline \\\\ \n');
- fprintf(fidTeX,' & Prior distribution & Prior mean & Prior s.d. & Posterior mode & s.d. \\\\ \n');
- fprintf(fidTeX,'\\hline \\endhead \n');
- fprintf(fidTeX,'\\hline \\multicolumn{6}{r}{(Continued on next page)} \\\\ \\hline \\endfoot \n');
- fprintf(fidTeX,'\\hline \\hline \\endlastfoot \n');
- ip = 1;
- for i=1:nvx
- k = estim_params_.var_exo(i,1);
- fprintf(fidTeX,[ '$%s$ & %4s & %7.3f & %6.4f & %8.4f & %7.4f \\\\ \n'],...
- deblank(M_.exo_names_tex(k,:)),...
- deblank(pnames(bayestopt_.pshape(ip)+1,:)),...
- bayestopt_.p1(ip),...
- bayestopt_.p2(ip),...
- xparam1(ip), ...
- stdh(ip));
- ip = ip+1;
- end
- fprintf(fidTeX,'\\end{longtable}\n ');
- fprintf(fidTeX,'\\end{center}\n');
- fprintf(fidTeX,'%% End of TeX file.\n');
- fclose(fidTeX);
- end
- if nvn
- TeXfile = [OutputDirectoryName '/' M_.fname '_Posterior_Mode_3.TeX'];
- fidTeX = fopen(TeXfile,'w');
- fprintf(fidTeX,'%% TeX-table generated by dynare_estimation (Dynare).\n');
- fprintf(fidTeX,'%% RESULTS FROM POSTERIOR MAXIMIZATION (standard deviation of measurement errors)\n');
- fprintf(fidTeX,['%% ' datestr(now,0)]);
- fprintf(fidTeX,' \n');
- fprintf(fidTeX,' \n');
- fprintf(fidTeX,'\\begin{center}\n');
- fprintf(fidTeX,'\\begin{longtable}{l|lcccc} \n');
- fprintf(fidTeX,'\\caption{Results from posterior maximization (standard deviation of measurement errors)}\n ');
- fprintf(fidTeX,'\\label{Table:Posterior:3}\\\\\n');
- fprintf(fidTeX,'\\hline\\hline \\\\ \n');
- fprintf(fidTeX,' & Prior distribution & Prior mean & Prior s.d. & Posterior mode & s.d. \\\\ \n');
- fprintf(fidTeX,'\\hline \\endfirsthead \n');
- fprintf(fidTeX,'\\caption{(continued)}\n ');
- fprintf(fidTeX,'\\label{Table:Posterior:3}\\\\\n');
- fprintf(fidTeX,'\\hline\\hline \\\\ \n');
- fprintf(fidTeX,' & Prior distribution & Prior mean & Prior s.d. & Posterior mode & s.d. \\\\ \n');
- fprintf(fidTeX,'\\hline \\endhead \n');
- fprintf(fidTeX,'\\hline \\multicolumn{6}{r}{(Continued on next page)} \\\\ \\hline \\endfoot \n');
- fprintf(fidTeX,'\\hline \\hline \\endlastfoot \n');
- ip = nvx+1;
- for i=1:nvn
- idx = strmatch(options_.varobs(estim_params_.nvn_observable_correspondence(i,1),:),M_.endo_names);
- fprintf(fidTeX,'$%s$ & %4s & %7.3f & %6.4f & %8.4f & %7.4f \\\\ \n',...
- deblank(M_.endo_names_tex(idx,:)), ...
- deblank(pnames(bayestopt_.pshape(ip)+1,:)), ...
- bayestopt_.p1(ip), ...
- bayestopt_.p2(ip),...
- xparam1(ip),...
- stdh(ip));
- ip = ip+1;
- end
- fprintf(fidTeX,'\\end{longtable}\n ');
- fprintf(fidTeX,'\\end{center}\n');
- fprintf(fidTeX,'%% End of TeX file.\n');
- fclose(fidTeX);
- end
- if ncx
- TeXfile = [OutputDirectoryName '/' M_.fname '_Posterior_Mode_4.TeX'];
- fidTeX = fopen(TeXfile,'w');
- fprintf(fidTeX,'%% TeX-table generated by dynare_estimation (Dynare).\n');
- fprintf(fidTeX,'%% RESULTS FROM POSTERIOR MAXIMIZATION (correlation of structural shocks)\n');
- fprintf(fidTeX,['%% ' datestr(now,0)]);
- fprintf(fidTeX,' \n');
- fprintf(fidTeX,' \n');
- fprintf(fidTeX,'\\begin{center}\n');
- fprintf(fidTeX,'\\begin{longtable}{l|lcccc} \n');
- fprintf(fidTeX,'\\caption{Results from posterior parameters (correlation of structural shocks)}\n ');
- fprintf(fidTeX,'\\label{Table:Posterior:4}\\\\\n');
- fprintf(fidTeX,'\\hline\\hline \\\\ \n');
- fprintf(fidTeX,' & Prior distribution & Prior mean & Prior s.d. & Posterior mode & s.d. \\\\ \n');
- fprintf(fidTeX,'\\hline \\endfirsthead \n');
- fprintf(fidTeX,'\\caption{(continued)}\n ');
- fprintf(fidTeX,'\\label{Table:Posterior:4}\\\\\n');
- fprintf(fidTeX,'\\hline\\hline \\\\ \n');
- fprintf(fidTeX,' & Prior distribution & Prior mean & Prior s.d. & Posterior mode & s.d. \\\\ \n');
- fprintf(fidTeX,'\\hline \\endhead \n');
- fprintf(fidTeX,'\\hline \\multicolumn{6}{r}{(Continued on next page)} \\\\ \\hline \\endfoot \n');
- fprintf(fidTeX,'\\hline \\hline \\endlastfoot \n');
- ip = nvx+nvn+1;
- for i=1:ncx
- k1 = estim_params_.corrx(i,1);
- k2 = estim_params_.corrx(i,2);
- fprintf(fidTeX,[ '$%s$ & %s & %7.3f & %6.4f & %8.4f & %7.4f \\\\ \n'],...
- [deblank(M_.exo_names_tex(k1,:)) ',' deblank(M_.exo_names_tex(k2,:))], ...
- deblank(pnames(bayestopt_.pshape(ip)+1,:)), ...
- bayestopt_.p1(ip), ...
- bayestopt_.p2(ip), ...
- xparam1(ip), ...
- stdh(ip));
- ip = ip+1;
- end
- fprintf(fidTeX,'\\end{longtable}\n ');
- fprintf(fidTeX,'\\end{center}\n');
- fprintf(fidTeX,'%% End of TeX file.\n');
- fclose(fidTeX);
- end
- if ncn
- TeXfile = [OutputDirectoryName '/' M_.fname '_Posterior_Mode_5.TeX'];
- fidTeX = fopen(TeXfile,'w');
- fprintf(fidTeX,'%% TeX-table generated by dynare_estimation (Dynare).\n');
- fprintf(fidTeX,'%% RESULTS FROM POSTERIOR MAXIMIZATION (correlation of measurement errors)\n');
- fprintf(fidTeX,['%% ' datestr(now,0)]);
- fprintf(fidTeX,' \n');
- fprintf(fidTeX,' \n');
- fprintf(fidTeX,'\\begin{center}\n');
- fprintf(fidTeX,'\\begin{longtabe}{l|lcccc} \n');
- fprintf(fidTeX,'\\caption{Results from posterior parameters (correlation of measurement errors)}\n ');
- fprintf(fidTeX,'\\label{Table:Posterior:5}\\\\\n');
- fprintf(fidTeX,'\\hline\\hline \\\\ \n');
- fprintf(fidTeX,' & Prior distribution & Prior mean & Prior s.d. & Posterior mode & s.d. \\\\ \n');
- fprintf(fidTeX,'\\hline \\endfirsthead \n');
- fprintf(fidTeX,'\\caption{(continued)}\n ');
- fprintf(fidTeX,'\\label{Table:Posterior:5}\\\\\n');
- fprintf(fidTeX,'\\hline\\hline \\\\ \n');
- fprintf(fidTeX,' & Prior distribution & Prior mean & Prior s.d. & Posterior mode & s.d. \\\\ \n');
- fprintf(fidTeX,'\\hline \\endhead \n');
- fprintf(fidTeX,'\\hline \\multicolumn{6}{r}{(Continued on next page)} \\\\ \\hline \\endfoot \n');
- fprintf(fidTeX,'\\hline \\hline \\endlastfoot \n');
- ip = nvx+nvn+ncx+1;
- for i=1:ncn
- k1 = estim_params_.corrn(i,1);
- k2 = estim_params_.corrn(i,2);
- fprintf(fidTeX,'$%s$ & %s & %7.3f & %6.4f & %8.4f & %7.4f \\\\ \n',...
- [deblank(M_.endo_names_tex(k1,:)) ',' deblank(M_.endo_names_tex(k2,:))], ...
- pnames(bayestopt_.pshape(ip)+1,:), ...
- bayestopt_.p1(ip), ...
- bayestopt_.p2(ip), ...
- xparam1(ip), ...
- stdh(ip));
- ip = ip+1;
- end
- fprintf(fidTeX,'\\end{longtable}\n ');
- fprintf(fidTeX,'\\end{center}\n');
- fprintf(fidTeX,'%% End of TeX file.\n');
- fclose(fidTeX);
- end
-end
-
if np > 0
pindx = estim_params_.param_vals(:,1);
save([M_.fname '_params.mat'],'pindx');