diff --git a/matlab/moments/conditional_variance_decomposition_ME_mc_analysis.m b/matlab/estimation/conditional_variance_decomposition_ME_mc_analysis.m similarity index 98% rename from matlab/moments/conditional_variance_decomposition_ME_mc_analysis.m rename to matlab/estimation/conditional_variance_decomposition_ME_mc_analysis.m index c4d4e349694592eaded997db30f36fa436a72ca1..22411fe5c5de23d80d0d8a8fd911b08321bf08cc 100644 --- a/matlab/moments/conditional_variance_decomposition_ME_mc_analysis.m +++ b/matlab/estimation/conditional_variance_decomposition_ME_mc_analysis.m @@ -94,7 +94,7 @@ end ListOfFiles = dir([ PATH fname '_' TYPE 'ConditionalVarianceDecompME*.mat']); i1 = 1; tmp = zeros(NumberOfSimulations,length(Steps)); for file = 1:length(ListOfFiles) - load([ PATH ListOfFiles(file).name ]); + load([ PATH ListOfFiles(file).name ],'Conditional_decomposition_array_ME'); % 4D-array (endovar,time,exovar,simul) i2 = i1 + size(Conditional_decomposition_array_ME,4) - 1; tmp(i1:i2,:) = transpose(dynare_squeeze(Conditional_decomposition_array_ME(matrix_pos,:,exogenous_variable_index,:))); diff --git a/matlab/moments/conditional_variance_decomposition_mc_analysis.m b/matlab/estimation/conditional_variance_decomposition_mc_analysis.m similarity index 98% rename from matlab/moments/conditional_variance_decomposition_mc_analysis.m rename to matlab/estimation/conditional_variance_decomposition_mc_analysis.m index 74d86fffd5558934484a4cf6860e8b8188cfd26f..3abdc874190b9c424b45b14bd69ccc78446cbf0f 100644 --- a/matlab/moments/conditional_variance_decomposition_mc_analysis.m +++ b/matlab/estimation/conditional_variance_decomposition_mc_analysis.m @@ -85,7 +85,7 @@ end ListOfFiles = dir([ PATH fname '_' TYPE 'ConditionalVarianceDecomposition*.mat']); i1 = 1; tmp = zeros(NumberOfSimulations,length(Steps)); for file = 1:length(ListOfFiles) - load([ PATH ListOfFiles(file).name ]); + load([ PATH ListOfFiles(file).name ],'Conditional_decomposition_array'); % 4D-array (endovar,time,exovar,simul) i2 = i1 + size(Conditional_decomposition_array,4) - 1; tmp(i1:i2,:) = transpose(dynare_squeeze(Conditional_decomposition_array(endogenous_variable_index,:,exogenous_variable_index,:))); diff --git a/matlab/moments/correlation_mc_analysis.m b/matlab/estimation/correlation_mc_analysis.m similarity index 98% rename from matlab/moments/correlation_mc_analysis.m rename to matlab/estimation/correlation_mc_analysis.m index ecf58c4a458b6f179f8ca7351c57f28f99793529..9aeb04e62b49ea99bacdfae5d5cdba8fee740c26 100644 --- a/matlab/moments/correlation_mc_analysis.m +++ b/matlab/estimation/correlation_mc_analysis.m @@ -85,12 +85,11 @@ end ListOfFiles = dir([ PATH fname '_' TYPE 'Correlations*.mat']); i1 = 1; tmp = zeros(SampleSize,1); for file = 1:length(ListOfFiles) - load([ PATH ListOfFiles(file).name ]); + load([ PATH ListOfFiles(file).name ],'Correlation_array'); i2 = i1 + rows(Correlation_array) - 1; tmp(i1:i2) = Correlation_array(:,indx1,indx2,nar); i1 = i2+1; end -name = [ var1 '.' var2 ]; if options_.estimation.moments_posterior_density.indicator [p_mean, p_median, p_var, hpd_interval, p_deciles, density] = ... posterior_moments(tmp,1,mh_conf_sig); diff --git a/matlab/moments/covariance_mc_analysis.m b/matlab/estimation/covariance_mc_analysis.m similarity index 99% rename from matlab/moments/covariance_mc_analysis.m rename to matlab/estimation/covariance_mc_analysis.m index 5215a74a7da473dd1c6096cff5fe3361bd678bcd..7f9c18597af5f0892f78658d132a8aed840415f8 100644 --- a/matlab/moments/covariance_mc_analysis.m +++ b/matlab/estimation/covariance_mc_analysis.m @@ -97,7 +97,7 @@ if options_.contemporaneous_correlation var_pos_2=symmetric_matrix_index(indx2,indx2,nvar); end for file = 1:length(ListOfFiles) - load([ PATH ListOfFiles(file).name ]); + load([ PATH ListOfFiles(file).name ],'Covariance_matrix'); i2 = i1 + rows(Covariance_matrix) - 1; tmp(i1:i2) = Covariance_matrix(:,symmetric_matrix_index(indx1,indx2,nvar)); if options_.contemporaneous_correlation diff --git a/matlab/estimation/variance_decomposition_ME_mc_analysis.m b/matlab/estimation/variance_decomposition_ME_mc_analysis.m index 9d2e7e85e383e2d658e39e6e8d4ae89d159794bb..0a00e654aa24628d0278b76ca00e34c5bcc60ec1 100644 --- a/matlab/estimation/variance_decomposition_ME_mc_analysis.m +++ b/matlab/estimation/variance_decomposition_ME_mc_analysis.m @@ -87,7 +87,7 @@ ListOfFiles = dir([ PATH fname '_' TYPE 'VarianceDecompME*.mat']); i1 = 1; tmp = zeros(NumberOfSimulations,1); indice = (indx-1)*rows(exonames)+jndx; for file = 1:length(ListOfFiles) - load([ PATH ListOfFiles(file).name ]); + load([ PATH ListOfFiles(file).name ],'Decomposition_array_ME'); i2 = i1 + rows(Decomposition_array_ME) - 1; tmp(i1:i2) = Decomposition_array_ME(:,indice); i1 = i2+1; diff --git a/matlab/estimation/variance_decomposition_mc_analysis.m b/matlab/estimation/variance_decomposition_mc_analysis.m index dc4f6f35e51daee54fb90422602ac41f18d314b3..b60b5bc799d30e4129b14cdebd3cb81826a03aa9 100644 --- a/matlab/estimation/variance_decomposition_mc_analysis.m +++ b/matlab/estimation/variance_decomposition_mc_analysis.m @@ -85,7 +85,7 @@ ListOfFiles = dir([ PATH fname '_' TYPE 'VarianceDecomposition*.mat']); i1 = 1; tmp = zeros(NumberOfSimulations,1); indice = (indx-1)*rows(exonames)+jndx; for file = 1:length(ListOfFiles) - load([ PATH ListOfFiles(file).name ]); + load([ PATH ListOfFiles(file).name ],'Decomposition_array'); i2 = i1 + rows(Decomposition_array) - 1; tmp(i1:i2) = Decomposition_array(:,indice); i1 = i2+1;