From 8e8728e00e726d1f55004dbfce177ca5dde21303 Mon Sep 17 00:00:00 2001
From: Selma Malmberg <selma@dynare.org>
Date: Thu, 1 Apr 2021 11:07:28 +0200
Subject: [PATCH] Use of the compute_decision_rules function to factorize code
(Ref.#1773)
---
...e_simulated_theoretical_conditional_variance_decomposition.m | 2 +-
matlab/dsge_simulated_theoretical_correlation.m | 2 +-
matlab/dsge_simulated_theoretical_covariance.m | 2 +-
matlab/dsge_simulated_theoretical_variance_decomposition.m | 2 +-
matlab/identification_analysis.m | 2 +-
matlab/osr1.m | 2 +-
matlab/osr_obj.m | 2 +-
matlab/reversed_extended_path.m | 2 +-
matlab/selec_posterior_draws.m | 2 +-
matlab/simulated_moment_uncertainty.m | 2 +-
matlab/stoch_simul.m | 2 +-
11 files changed, 11 insertions(+), 11 deletions(-)
diff --git a/matlab/dsge_simulated_theoretical_conditional_variance_decomposition.m b/matlab/dsge_simulated_theoretical_conditional_variance_decomposition.m
index 23cdfdff19..c85ca9b118 100644
--- a/matlab/dsge_simulated_theoretical_conditional_variance_decomposition.m
+++ b/matlab/dsge_simulated_theoretical_conditional_variance_decomposition.m
@@ -142,7 +142,7 @@ for file = 1:NumberOfDrawsFiles
dr = temp.pdraws{linee,2};
else
M_=set_parameters_locally(M_,temp.pdraws{linee,1});
- [dr,info,M_,options_,oo_] = resol(0,M_,options_,oo_);
+ [dr,info,M_,options_,oo_] = compute_decision_rules(M_,options_,oo_)
end
if first_call
endo_nbr = M_.endo_nbr;
diff --git a/matlab/dsge_simulated_theoretical_correlation.m b/matlab/dsge_simulated_theoretical_correlation.m
index 50001e153b..e77af705b2 100644
--- a/matlab/dsge_simulated_theoretical_correlation.m
+++ b/matlab/dsge_simulated_theoretical_correlation.m
@@ -115,7 +115,7 @@ for file = 1:NumberOfDrawsFiles
dr = temp.pdraws{linee,2};
else
M_=set_parameters_locally(M_,temp.pdraws{linee,1});
- [dr,info,M_,options_,oo_] = resol(0,M_,options_,oo_);
+ [dr,info,M_,options_,oo_] = compute_decision_rules(M_,options_,oo_);
end
if ~options_.pruning
tmp = th_autocovariances(dr,ivar,M_,options_,nodecomposition);
diff --git a/matlab/dsge_simulated_theoretical_covariance.m b/matlab/dsge_simulated_theoretical_covariance.m
index 86660c86d9..d23fafc05b 100644
--- a/matlab/dsge_simulated_theoretical_covariance.m
+++ b/matlab/dsge_simulated_theoretical_covariance.m
@@ -113,7 +113,7 @@ for file = 1:NumberOfDrawsFiles
dr = temp.pdraws{linee,2};
else
M_=set_parameters_locally(M_,temp.pdraws{linee,1});
- [dr,info,M_,options_,oo_] = resol(0,M_,options_,oo_);
+ [dr,info,M_,options_,oo_] = compute_decision_rules(M_,options_,oo_);
end
if ~options_.pruning
tmp = th_autocovariances(dr,ivar,M_,options_,nodecomposition);
diff --git a/matlab/dsge_simulated_theoretical_variance_decomposition.m b/matlab/dsge_simulated_theoretical_variance_decomposition.m
index e17865aaeb..7d5574721b 100644
--- a/matlab/dsge_simulated_theoretical_variance_decomposition.m
+++ b/matlab/dsge_simulated_theoretical_variance_decomposition.m
@@ -141,7 +141,7 @@ for file = 1:NumberOfDrawsFiles
dr = temp.pdraws{linee,2};
else
M_=set_parameters_locally(M_,temp.pdraws{linee,1});
- [dr,info,M_,options_,oo_] = resol(0,M_,options_,oo_);
+ [dr,info,M_,options_,oo_] = compute_decision_rules(M_,options_,oo_);
end
if file==1 && linee==1
[tmp, stationary_vars] = th_autocovariances(dr,ivar,M_,options_,nodecomposition);
diff --git a/matlab/identification_analysis.m b/matlab/identification_analysis.m
index ff773195cf..5f2b47660e 100644
--- a/matlab/identification_analysis.m
+++ b/matlab/identification_analysis.m
@@ -133,7 +133,7 @@ no_identification_minimal = options_ident.no_identification_minimal;
no_identification_spectrum = options_ident.no_identification_spectrum;
%Compute linear approximation and fill dr structure
-[oo_.dr,info,M_,options_,oo_] = resol(0,M_,options_,oo_);
+[oo_.dr,info,M_,options_,oo_] = compute_decision_rules(M_,options_,oo_);
if info(1) == 0 %no errors in solution
% Compute parameter Jacobians for identification analysis
diff --git a/matlab/osr1.m b/matlab/osr1.m
index 673f69bdc9..ecf5196213 100644
--- a/matlab/osr1.m
+++ b/matlab/osr1.m
@@ -143,7 +143,7 @@ if ~options_.noprint
fprintf('Objective function : %16.6g\n\n',f);
skipline()
end
-[oo_.dr,info,M_,options_,oo_] = resol(0,M_,options_,oo_);
+[oo_.dr,info,M_,options_,oo_] = compute_decision_rules(M_,options_,oo_);
if ~info
osr_res.error_indicator=0;
end
\ No newline at end of file
diff --git a/matlab/osr_obj.m b/matlab/osr_obj.m
index 76db1da69c..d6d85d4601 100644
--- a/matlab/osr_obj.m
+++ b/matlab/osr_obj.m
@@ -47,7 +47,7 @@ M_.params(i_params) = x;
% don't change below until the part where the loss function is computed
it_ = M_.maximum_lag+1;
-[dr,info,M_,options_,oo_] = resol(0,M_,options_,oo_);
+[dr,info,M_,options_,oo_] = compute_decision_rules(M_,options_,oo_);
if info(1)
if info(1) == 3 || info(1) == 4 || info(1) == 5 || info(1)==6 ||info(1) == 19 ||...
diff --git a/matlab/reversed_extended_path.m b/matlab/reversed_extended_path.m
index e65204767a..748423d992 100644
--- a/matlab/reversed_extended_path.m
+++ b/matlab/reversed_extended_path.m
@@ -48,7 +48,7 @@ steady_;
% Compute the first order perturbation reduced form.
old_options_order = options_.order; options_.order = 1;
-[dr,info,M_,options_,oo_] = resol(0,M_,options_,oo_);
+[dr,info,M_,options_,oo_] = compute_decision_rules(M_,options_,oo_);
oo_.dr = dr;
options_.order = old_options_order;
diff --git a/matlab/selec_posterior_draws.m b/matlab/selec_posterior_draws.m
index c42e1ced80..dd336f2fb4 100644
--- a/matlab/selec_posterior_draws.m
+++ b/matlab/selec_posterior_draws.m
@@ -142,7 +142,7 @@ if info
pdraws(linee,1) = {x2(SampleAddress(i,4),:)};
if info-1
set_parameters(pdraws{linee,1});
- [dr,info,M_,options_,oo_] = resol(0,M_,options_,oo_);
+ [dr,info,M_,options_,oo_] = compute_decision_rules(M_,options_,oo_);
pdraws(linee,2) = { dr };
end
old_mhfile = mhfile;
diff --git a/matlab/simulated_moment_uncertainty.m b/matlab/simulated_moment_uncertainty.m
index 8a892cc5ae..152ac6b5cb 100644
--- a/matlab/simulated_moment_uncertainty.m
+++ b/matlab/simulated_moment_uncertainty.m
@@ -71,7 +71,7 @@ else
logged_steady_state_indicator=0;
end
-[dr,info,M_,options_,oo_] = resol(0,M_,options_,oo_);
+[dr,info,M_,options_,oo_] = compute_decision_rules(M_,options_,oo_);
oo_.dr=dr;
if info(1)
fprintf('\nsimulated_moment_uncertainty: model could not be solved')
diff --git a/matlab/stoch_simul.m b/matlab/stoch_simul.m
index 69c0ae521a..4db2049945 100644
--- a/matlab/stoch_simul.m
+++ b/matlab/stoch_simul.m
@@ -106,7 +106,7 @@ else
oo_.steady_state=exp(oo_.steady_state);
options_.logged_steady_state=0;
end
- [~,info,M_,options_,oo_] = resol(0,M_,options_,oo_);
+ [~,info,M_,options_,oo_] = compute_decision_rules(M_,options_,oo_);
end
if options_.loglinear && isfield(oo_.dr,'ys') && options_.logged_steady_state==0 %log steady state for correct display of decision rule
--
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