Speed up runtime of ls2003.mod by reducing number of MC samples
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ab378138c2
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06a8eeeea7
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@ -62,12 +62,13 @@ stderr e_pies,inv_gamma_pdf,1.88,0.9827;
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end;
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options_.TeX=1;
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disp(' ');
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disp('NOW I DO STABILITY MAPPING and prepare sample for Reduced form Mapping');
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disp(' ');
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disp('Press ENTER to continue'); pause(5);
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dynare_sensitivity(redform=1,nodisplay); //create sample of reduced form coefficients
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dynare_sensitivity(redform=1,nodisplay,Nsam=512); //create sample of reduced form coefficients
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// NOTE: since namendo is empty by default,
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// this call does not perform the mapping of reduced form coefficient: just prepares the sample
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@ -82,8 +83,8 @@ threshold_redform=[-1 0], // filter reduced form coefficients (default=[])
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namendo=(pie,R), // evaluate relationships for pie and R (namendo=(:) for all variables)
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namexo=(e_R), // evaluate relationships with exogenous e_R (use namexo=(:) for all shocks)
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namlagendo=(R), // evaluate relationships with lagged R (use namlagendo=(:) for all lagged endogenous)
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stab=0 // don't repeat again the stability mapping
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);
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stab=0, // don't repeat again the stability mapping
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Nsam=512);
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disp(' ');
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@ -112,8 +113,8 @@ dynare_sensitivity(nodisplay, datafile='data_ca1.m',first_obs=8,nobs=79,prefilte
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load_stab=1, // load prior sample
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istart_rmse=2, //start computing rmse from second observation (i.e. rmse does not inlude initial big error)
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stab=0, // don't plot again stability analysis results
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rmse=1 // do rmse analysis
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);
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rmse=1, // do rmse analysis
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Nsam=512);
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disp(' ');
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disp('THE PREVIOUS THREE CALLS COULD BE DONE TOGETHER');
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@ -144,7 +145,7 @@ disp(' ');
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disp('Press ENTER to continue'); pause(5);
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// run this to generate posterior mode and Metropolis files if not yet done
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estimation(datafile='data_ca1.m',first_obs=8,nobs=79,mh_nblocks=2,
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estimation(datafile='data_ca1.m',first_obs=8,nobs=79,mh_nblocks=1,
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prefilter=1,mh_jscale=0.5,mh_replic=5000, mode_compute=4, mh_drop=0.6, nodisplay,
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bayesian_irf, filtered_vars, smoother) y_obs R_obs pie_obs dq de;
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@ -161,7 +162,7 @@ disp('Typical for ML estimation, also feasible for posterior mode');
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disp(' ');
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disp('Press ENTER to continue'); pause(5);
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dynare_sensitivity(nodisplay, pprior=0,Nsam=2048,neighborhood_width=0.2,
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dynare_sensitivity(nodisplay, pprior=0,Nsam=512,neighborhood_width=0.2,
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mode_file=ls2003_mode, // specifies the mode file where the mode and Hessian are stored
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datafile='data_ca1.m',first_obs=8,nobs=79,prefilter=1,
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rmse=1);
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@ -172,7 +173,7 @@ disp('Typical for ML estimation, also feasible for posterior mode');
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disp(' ');
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disp('Press ENTER to continue'); pause(5);
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dynare_sensitivity(nodisplay, pprior=0,Nsam=2048,
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dynare_sensitivity(nodisplay, pprior=0,Nsam=512,
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mode_file=ls2003_mode // specifies the mode file where the mode and Hessian are stored
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);
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@ -187,14 +188,14 @@ pprior=0,
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stab=0,
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rmse=1,
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alpha2_rmse=0, // no correlation analysis
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alpha_rmse=0 // no Smirnov sensitivity analysis
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);
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alpha_rmse=0, // no Smirnov sensitivity analysis
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Nsam=512);
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disp(' ');
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disp('THE LAST TWO CALLS COULD BE DONE TOGETHER');
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disp('BY USING THE COMBINED CALL');
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disp(' ');
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disp('dynare_sensitivity(pprior=0,Nsam=2048,alpha2_stab=0.4,mode_file=ls2003_mode,')
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disp('dynare_sensitivity(pprior=0,Nsam=512,alpha2_stab=0.4,mode_file=ls2003_mode,')
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disp('datafile=data_ca1.m,first_obs=8,nobs=79,prefilter=1,')
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disp('rmse=1, alpha2_rmse=0, alpha_rmse=0);')
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disp(' ');
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@ -215,7 +216,7 @@ disp('Press ENTER to continue'); pause(5);
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dynare_sensitivity(nodisplay, stab=0, // no need for stability analysis since the posterior sample is surely OK
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datafile='data_ca1.m',first_obs=8,nobs=79,prefilter=1,
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rmse=1,ppost=1);
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rmse=1,ppost=1,Nsam=512);
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collect_LaTeX_Files(M_);
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if system(['pdflatex -halt-on-error ' M_.fname '_TeX_binder.tex'])
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