563 lines
28 KiB
Matlab
563 lines
28 KiB
Matlab
function oo_=display_estimation_results_table(xparam1,stdh,M_,options_,estim_params_,bayestopt_,oo_,pnames,table_title,field_name)
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%function oo_=display_results_table(xparam1,stdh,M_,estim_params_,bayestopt_,oo_,pnames,table_title,field_name)
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% Display estimation results on screen and write them to TeX-file
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%
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% INPUTS
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% o xparam1 [double] (p*1) vector of estimate parameters.
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% o stdh [double] (p*1) vector of estimate parameters.
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% o M_ Matlab's structure describing the Model (initialized by dynare, see @ref{M_}).
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% o estim_params_ Matlab's structure describing the estimated_parameters (initialized by dynare, see @ref{estim_params_}).
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% o options_ Matlab's structure describing the options (initialized by dynare, see @ref{options_}).
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% o bayestopt_ Matlab's structure describing the priors (initialized by dynare, see @ref{bayesopt_}).
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% o oo_ Matlab's structure gathering the results (initialized by dynare, see @ref{oo_}).
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% o pnames [string] Character Array storing the names for prior distributions
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% o table_title [string] Title of the Table
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% o field_name [string] String storing the name of the fields for oo_ where the parameters are stored
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%
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% OUTPUTS
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% o oo_ Matlab's structure gathering the results
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%
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% SPECIAL REQUIREMENTS
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% None.
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% Copyright (C) 2014 Dynare Team
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%
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% This file is part of Dynare.
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%
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% Dynare is free software: you can redistribute it and/or modify
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% it under the terms of the GNU General Public License as published by
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% the Free Software Foundation, either version 3 of the License, or
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% (at your option) any later version.
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%
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% Dynare is distributed in the hope that it will be useful,
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% but WITHOUT ANY WARRANTY; without even the implied warranty of
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% MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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% GNU General Public License for more details.
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%
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% You should have received a copy of the GNU General Public License
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% along with Dynare. If not, see <http://www.gnu.org/licenses/>.
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nvx = estim_params_.nvx; % Variance of the structural innovations (number of parameters).
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nvn = estim_params_.nvn; % Variance of the measurement innovations (number of parameters).
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ncx = estim_params_.ncx; % Covariance of the structural innovations (number of parameters).
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ncn = estim_params_.ncn; % Covariance of the measurement innovations (number of parameters).
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np = estim_params_.np ; % Number of deep parameters.
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nx = nvx+nvn+ncx+ncn+np; % Total number of parameters to be estimated.
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skipline()
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disp(['RESULTS FROM ' upper(table_title) ' ESTIMATION'])
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LaTeXtitle=strrep(table_title,' ','_');
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tstath = abs(xparam1)./stdh;
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header_width = row_header_width(M_,estim_params_,bayestopt_);
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if strcmp(field_name,'posterior')
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tit1 = sprintf('%-*s %7s %8s %7s %4s %6s\n',header_width-2,' ','prior mean', ...
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'mode','s.d.','prior','pstdev');
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else
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tit1 = sprintf('%-*s %10s %7s %6s\n',header_width-2,' ','Estimate','s.d.','t-stat');
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end
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if np
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ip = nvx+nvn+ncx+ncn+1;
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disp('parameters')
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disp(tit1)
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for i=1:np
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name = bayestopt_.name{ip};
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if strcmp(field_name,'posterior')
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fprintf('%-*s %7.3f %8.4f %7.4f %4s %6.4f \n', ...
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header_width,name, ...
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bayestopt_.p1(ip),xparam1(ip),stdh(ip), ...
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pnames(bayestopt_.pshape(ip)+1,:), ...
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bayestopt_.p2(ip));
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else
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fprintf('%-*s %8.4f %7.4f %7.4f \n', ...
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header_width,name,xparam1(ip),stdh(ip),tstath(ip));
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end
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eval(['oo_.' field_name '_mode.parameters.' name ' = xparam1(ip);']);
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eval(['oo_.' field_name '_std_at_mode.parameters.' name ' = stdh(ip);']);
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ip = ip+1;
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end
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skipline()
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end
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if nvx
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ip = 1;
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disp('standard deviation of shocks')
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disp(tit1)
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for i=1:nvx
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k = estim_params_.var_exo(i,1);
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name = deblank(M_.exo_names(k,:));
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if strcmp(field_name,'posterior')
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fprintf('%-*s %7.3f %8.4f %7.4f %4s %6.4f \n', ...
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header_width,name,bayestopt_.p1(ip),xparam1(ip), ...
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stdh(ip),pnames(bayestopt_.pshape(ip)+1,:), ...
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bayestopt_.p2(ip));
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else
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fprintf('%-*s %8.4f %7.4f %7.4f \n',header_width,name,xparam1(ip),stdh(ip),tstath(ip));
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end
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M_.Sigma_e(k,k) = xparam1(ip)*xparam1(ip);
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eval(['oo_.' field_name '_mode.shocks_std.' name ' = xparam1(ip);']);
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eval(['oo_.' field_name '_std_at_mode.shocks_std.' name ' = stdh(ip);']);
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ip = ip+1;
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end
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skipline()
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end
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if nvn
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disp('standard deviation of measurement errors')
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disp(tit1)
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ip = nvx+1;
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for i=1:nvn
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name = options_.varobs{estim_params_.nvn_observable_correspondence(i,1)};
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if strcmp(field_name,'posterior')
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fprintf('%-*s %7.3f %8.4f %7.4f %4s %6.4f \n', ...
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header_width,name,bayestopt_.p1(ip), ...
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xparam1(ip),stdh(ip), ...
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pnames(bayestopt_.pshape(ip)+1,:), ...
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bayestopt_.p2(ip));
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else
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fprintf('%-*s %8.4f %7.4f %7.4f \n',header_width,name,xparam1(ip),stdh(ip),tstath(ip))
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end
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eval(['oo_.' field_name '_mode.measurement_errors_std.' name ' = xparam1(ip);']);
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eval(['oo_.' field_name '_std_at_mode.measurement_errors_std.' name ' = stdh(ip);']);
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ip = ip+1;
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end
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skipline()
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end
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if ncx
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disp('correlation of shocks')
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disp(tit1)
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ip = nvx+nvn+1;
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for i=1:ncx
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k1 = estim_params_.corrx(i,1);
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k2 = estim_params_.corrx(i,2);
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name = [deblank(M_.exo_names(k1,:)) ',' deblank(M_.exo_names(k2,:))];
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NAME = [deblank(M_.exo_names(k1,:)) '_' deblank(M_.exo_names(k2,:))];
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if strcmp(field_name,'posterior')
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fprintf('%-*s %7.3f %8.4f %7.4f %4s %6.4f \n', ...
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header_width,name,bayestopt_.p1(ip),xparam1(ip),stdh(ip), ...
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pnames(bayestopt_.pshape(ip)+1,:), bayestopt_.p2(ip));
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else
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fprintf('%-*s %8.4f %7.4f %7.4f \n', header_width,name,xparam1(ip),stdh(ip),tstath(ip));
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end
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M_.Sigma_e(k1,k2) = xparam1(ip)*sqrt(M_.Sigma_e(k1,k1)*M_.Sigma_e(k2,k2));
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M_.Sigma_e(k2,k1) = M_.Sigma_e(k1,k2);
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eval(['oo_.' field_name '_mode.shocks_corr.' NAME ' = xparam1(ip);']);
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eval(['oo_.' field_name '_std_at_mode.shocks_corr.' NAME ' = stdh(ip);']);
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ip = ip+1;
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end
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skipline()
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end
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if ncn
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disp('correlation of measurement errors')
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disp(tit1)
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ip = nvx+nvn+ncx+1;
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for i=1:ncn
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k1 = estim_params_.corrn(i,1);
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k2 = estim_params_.corrn(i,2);
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name = [deblank(M_.endo_names(k1,:)) ',' deblank(M_.endo_names(k2,:))];
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NAME = [deblank(M_.endo_names(k1,:)) '_' deblank(M_.endo_names(k2,:))];
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if strcmp(field_name,'posterior')
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fprintf('%-*s %7.3f %8.4f %7.4f %4s %6.4f \n', ...
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header_width,name,bayestopt_.p1(ip),xparam1(ip),stdh(ip), ...
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pnames(bayestopt_.pshape(ip)+1,:), bayestopt_.p2(ip));
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else
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fprintf('%-*s %8.4f %7.4f %7.4f \n',header_width,name,xparam1(ip),stdh(ip),tstath(ip));
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end
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eval(['oo_.' field_name '_mode.measurement_errors_corr.' NAME ' = xparam1(ip);']);
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eval(['oo_.' field_name '_std_at_mode.measurement_errors_corr.' NAME ' = stdh(ip);']);
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ip = ip+1;
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end
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skipline()
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end
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if any(xparam1(1:nvx+nvn)<0)
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warning('Some estimated standard deviations are negative. Dynare internally works with variances so that the sign does not matter. Nevertheless, it is recommended to impose either prior restrictions (Bayesian Estimation) or a lower bound (ML) to assure positive values.')
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end
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OutputDirectoryName = CheckPath('Output',M_.dname);
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if any(bayestopt_.pshape > 0) && options_.TeX %% Bayesian estimation (posterior mode) Latex output
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if np
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filename = [OutputDirectoryName '/' M_.fname '_Posterior_Mode_1.TeX'];
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fidTeX = fopen(filename,'w');
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fprintf(fidTeX,'%% TeX-table generated by dynare_estimation (Dynare).\n');
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fprintf(fidTeX,'%% RESULTS FROM POSTERIOR MAXIMIZATION (parameters)\n');
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fprintf(fidTeX,['%% ' datestr(now,0)]);
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fprintf(fidTeX,' \n');
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fprintf(fidTeX,' \n');
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fprintf(fidTeX,'\\begin{center}\n');
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fprintf(fidTeX,'\\begin{longtable}{l|lcccc} \n');
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fprintf(fidTeX,'\\caption{Results from posterior maximization (parameters)}\\\\\n ');
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fprintf(fidTeX,'\\label{Table:Posterior:1}\\\\\n');
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fprintf(fidTeX,'\\hline\\hline \\\\ \n');
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fprintf(fidTeX,' & Prior distribution & Prior mean & Prior s.d. & Posterior mode & s.d. \\\\ \n');
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fprintf(fidTeX,'\\hline \\endfirsthead \n');
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fprintf(fidTeX,'\\caption{(continued)}\\\\\n ');
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fprintf(fidTeX,'\\hline\\hline \\\\ \n');
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fprintf(fidTeX,' & Prior distribution & Prior mean & Prior s.d. & Posterior mode & s.d. \\\\ \n');
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fprintf(fidTeX,'\\hline \\endhead \n');
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fprintf(fidTeX,'\\hline \\multicolumn{6}{r}{(Continued on next page)} \\\\ \\hline \\endfoot \n');
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fprintf(fidTeX,'\\hline \\hline \\endlastfoot \n');
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ip = nvx+nvn+ncx+ncn+1;
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for i=1:np
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fprintf(fidTeX,'$%s$ & %s & %7.3f & %6.4f & %8.4f & %7.4f \\\\ \n',...
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M_.param_names_tex(estim_params_.param_vals(i,1),:),...
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deblank(pnames(bayestopt_.pshape(ip)+1,:)),...
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bayestopt_.p1(ip),...
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bayestopt_.p2(ip),...
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xparam1(ip),...
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stdh(ip));
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ip = ip + 1;
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end
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fprintf(fidTeX,'\\end{longtable}\n ');
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fprintf(fidTeX,'\\end{center}\n');
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fprintf(fidTeX,'%% End of TeX file.\n');
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fclose(fidTeX);
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end
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if nvx
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TeXfile = [OutputDirectoryName '/' M_.fname '_Posterior_Mode_2.TeX'];
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fidTeX = fopen(TeXfile,'w');
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fprintf(fidTeX,'%% TeX-table generated by dynare_estimation (Dynare).\n');
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fprintf(fidTeX,'%% RESULTS FROM POSTERIOR MAXIMIZATION (standard deviation of structural shocks)\n');
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fprintf(fidTeX,['%% ' datestr(now,0)]);
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fprintf(fidTeX,' \n');
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fprintf(fidTeX,' \n');
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fprintf(fidTeX,'\\begin{center}\n');
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fprintf(fidTeX,'\\begin{longtable}{l|lcccc} \n');
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fprintf(fidTeX,'\\caption{Results from posterior maximization (standard deviation of structural shocks)}\\\\\n ');
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fprintf(fidTeX,'\\label{Table:Posterior:2}\\\\\n');
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fprintf(fidTeX,'\\hline\\hline \\\\ \n');
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fprintf(fidTeX,' & Prior distribution & Prior mean & Prior s.d. & Posterior mode & s.d. \\\\ \n');
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fprintf(fidTeX,'\\hline \\endfirsthead \n');
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fprintf(fidTeX,'\\caption{(continued)}\\\\\n ');
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fprintf(fidTeX,'\\label{Table:Posterior:2}\\\\\n');
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fprintf(fidTeX,'\\hline\\hline \\\\ \n');
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fprintf(fidTeX,' & Prior distribution & Prior mean & Prior s.d. & Posterior mode & s.d. \\\\ \n');
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fprintf(fidTeX,'\\hline \\endhead \n');
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fprintf(fidTeX,'\\hline \\multicolumn{6}{r}{(Continued on next page)} \\\\ \\hline \\endfoot \n');
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fprintf(fidTeX,'\\hline \\hline \\endlastfoot \n');
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ip = 1;
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for i=1:nvx
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k = estim_params_.var_exo(i,1);
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fprintf(fidTeX,[ '$%s$ & %4s & %7.3f & %6.4f & %8.4f & %7.4f \\\\ \n'],...
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deblank(M_.exo_names_tex(k,:)),...
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deblank(pnames(bayestopt_.pshape(ip)+1,:)),...
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bayestopt_.p1(ip),...
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bayestopt_.p2(ip),...
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xparam1(ip), ...
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stdh(ip));
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ip = ip+1;
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end
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fprintf(fidTeX,'\\end{longtable}\n ');
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fprintf(fidTeX,'\\end{center}\n');
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fprintf(fidTeX,'%% End of TeX file.\n');
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fclose(fidTeX);
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end
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if nvn
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TeXfile = [OutputDirectoryName '/' M_.fname '_Posterior_Mode_3.TeX'];
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fidTeX = fopen(TeXfile,'w');
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fprintf(fidTeX,'%% TeX-table generated by dynare_estimation (Dynare).\n');
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fprintf(fidTeX,'%% RESULTS FROM POSTERIOR MAXIMIZATION (standard deviation of measurement errors)\n');
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fprintf(fidTeX,['%% ' datestr(now,0)]);
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fprintf(fidTeX,' \n');
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fprintf(fidTeX,' \n');
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fprintf(fidTeX,'\\begin{center}\n');
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fprintf(fidTeX,'\\begin{longtable}{l|lcccc} \n');
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fprintf(fidTeX,'\\caption{Results from posterior maximization (standard deviation of measurement errors)}\\\\\n ');
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fprintf(fidTeX,'\\label{Table:Posterior:3}\\\\\n');
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fprintf(fidTeX,'\\hline\\hline \\\\ \n');
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fprintf(fidTeX,' & Prior distribution & Prior mean & Prior s.d. & Posterior mode & s.d. \\\\ \n');
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fprintf(fidTeX,'\\hline \\endfirsthead \n');
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fprintf(fidTeX,'\\caption{(continued)}\\\\\n ');
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fprintf(fidTeX,'\\label{Table:Posterior:3}\\\\\n');
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fprintf(fidTeX,'\\hline\\hline \\\\ \n');
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fprintf(fidTeX,' & Prior distribution & Prior mean & Prior s.d. & Posterior mode & s.d. \\\\ \n');
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fprintf(fidTeX,'\\hline \\endhead \n');
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fprintf(fidTeX,'\\hline \\multicolumn{6}{r}{(Continued on next page)} \\\\ \\hline \\endfoot \n');
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fprintf(fidTeX,'\\hline \\hline \\endlastfoot \n');
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ip = nvx+1;
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for i=1:nvn
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idx = strmatch(options_.varobs{estim_params_.nvn_observable_correspondence(i,1)},M_.endo_names);
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fprintf(fidTeX,'$%s$ & %4s & %7.3f & %6.4f & %8.4f & %7.4f \\\\ \n',...
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deblank(M_.endo_names_tex(idx,:)), ...
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deblank(pnames(bayestopt_.pshape(ip)+1,:)), ...
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bayestopt_.p1(ip), ...
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bayestopt_.p2(ip),...
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xparam1(ip),...
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stdh(ip));
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ip = ip+1;
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end
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fprintf(fidTeX,'\\end{longtable}\n ');
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fprintf(fidTeX,'\\end{center}\n');
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fprintf(fidTeX,'%% End of TeX file.\n');
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fclose(fidTeX);
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end
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if ncx
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TeXfile = [OutputDirectoryName '/' M_.fname '_Posterior_Mode_4.TeX'];
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fidTeX = fopen(TeXfile,'w');
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fprintf(fidTeX,'%% TeX-table generated by dynare_estimation (Dynare).\n');
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fprintf(fidTeX,'%% RESULTS FROM POSTERIOR MAXIMIZATION (correlation of structural shocks)\n');
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fprintf(fidTeX,['%% ' datestr(now,0)]);
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fprintf(fidTeX,' \n');
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fprintf(fidTeX,' \n');
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fprintf(fidTeX,'\\begin{center}\n');
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fprintf(fidTeX,'\\begin{longtable}{l|lcccc} \n');
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fprintf(fidTeX,'\\caption{Results from posterior parameters (correlation of structural shocks)}\\\\\n ');
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fprintf(fidTeX,'\\label{Table:Posterior:4}\\\\\n');
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fprintf(fidTeX,'\\hline\\hline \\\\ \n');
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fprintf(fidTeX,' & Prior distribution & Prior mean & Prior s.d. & Posterior mode & s.d. \\\\ \n');
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fprintf(fidTeX,'\\hline \\endfirsthead \n');
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fprintf(fidTeX,'\\caption{(continued)}\\\\\n ');
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fprintf(fidTeX,'\\label{Table:Posterior:4}\\\\\n');
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fprintf(fidTeX,'\\hline\\hline \\\\ \n');
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fprintf(fidTeX,' & Prior distribution & Prior mean & Prior s.d. & Posterior mode & s.d. \\\\ \n');
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fprintf(fidTeX,'\\hline \\endhead \n');
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fprintf(fidTeX,'\\hline \\multicolumn{6}{r}{(Continued on next page)} \\\\ \\hline \\endfoot \n');
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fprintf(fidTeX,'\\hline \\hline \\endlastfoot \n');
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ip = nvx+nvn+1;
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for i=1:ncx
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k1 = estim_params_.corrx(i,1);
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k2 = estim_params_.corrx(i,2);
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fprintf(fidTeX,[ '$%s$ & %s & %7.3f & %6.4f & %8.4f & %7.4f \\\\ \n'],...
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[deblank(M_.exo_names_tex(k1,:)) ',' deblank(M_.exo_names_tex(k2,:))], ...
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deblank(pnames(bayestopt_.pshape(ip)+1,:)), ...
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bayestopt_.p1(ip), ...
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bayestopt_.p2(ip), ...
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xparam1(ip), ...
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stdh(ip));
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ip = ip+1;
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end
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fprintf(fidTeX,'\\end{longtable}\n ');
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fprintf(fidTeX,'\\end{center}\n');
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fprintf(fidTeX,'%% End of TeX file.\n');
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fclose(fidTeX);
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end
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if ncn
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TeXfile = [OutputDirectoryName '/' M_.fname '_Posterior_Mode_5.TeX'];
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fidTeX = fopen(TeXfile,'w');
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fprintf(fidTeX,'%% TeX-table generated by dynare_estimation (Dynare).\n');
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fprintf(fidTeX,'%% RESULTS FROM POSTERIOR MAXIMIZATION (correlation of measurement errors)\n');
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fprintf(fidTeX,['%% ' datestr(now,0)]);
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fprintf(fidTeX,' \n');
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fprintf(fidTeX,' \n');
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fprintf(fidTeX,'\\begin{center}\n');
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fprintf(fidTeX,'\\begin{longtable}{l|lcccc} \n');
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fprintf(fidTeX,'\\caption{Results from posterior parameters (correlation of measurement errors)}\\\\\n ');
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fprintf(fidTeX,'\\label{Table:Posterior:5}\\\\\n');
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fprintf(fidTeX,'\\hline\\hline \\\\ \n');
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fprintf(fidTeX,' & Prior distribution & Prior mean & Prior s.d. & Posterior mode & s.d. \\\\ \n');
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fprintf(fidTeX,'\\hline \\endfirsthead \n');
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fprintf(fidTeX,'\\caption{(continued)}\\\\\n ');
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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
|