diff --git a/tests/Makefile.am b/tests/Makefile.am
index 1ec1f248913e7a0fd81a4d97b5a4734a6b5aa031..6f5b2ab4a35b86afa3dec4e41849269181a6b736 100644
--- a/tests/Makefile.am
+++ b/tests/Makefile.am
@@ -234,6 +234,7 @@ MODFILES = \
 	AIM/ls2003_2L2L.mod \
 	AIM/ls2003_2L2L_AIM.mod \
 	conditional_variance_decomposition/example1.mod \
+	conditional_variance_decomposition/example3.mod \
 	dsge-var/simul_hybrid.mod \
 	dsge-var/dsgevar_forward_calibrated_lambda.mod \
 	dsge-var/dsgevar_forward_estimated_lambda.mod \
@@ -1359,6 +1360,7 @@ EXTRA_DIST = \
 	measurement_errors/fs2000_corr_me_ml_mcmc/fsdat_simul.m \
 	missing/simulate_data_with_missing_observations.m \
 	conditional_forecasts/2/fsdat_simul.m \
+	conditional_variance_decomposition/example3_steady_state_helper.m \
 	ms-sbvar/msdata.m \
 	ms-sbvar/archive-files/ftd_2s_caseall_upperchol3v.m \
 	ms-sbvar/archive-files/ftd_2s_caseall_upperchol4v.m \
diff --git a/tests/conditional_variance_decomposition/example3.mod b/tests/conditional_variance_decomposition/example3.mod
new file mode 100644
index 0000000000000000000000000000000000000000..7051818ae94a6073c9425ab769d291b9d604983c
--- /dev/null
+++ b/tests/conditional_variance_decomposition/example3.mod
@@ -0,0 +1,138 @@
+/*
+ * Example 1 from F. Collard (2001): "Stochastic simulations with DYNARE:
+ * A practical guide" (see "guide.pdf" in the documentation directory).
+ * 
+ * This file uses the steady_state_model-block to provide analytical steady state values.
+ * To do so, the equations of the model have been transformed into a non-linear equation in 
+ * labor h. Within the steady_state_model-block, a helper function is called that uses fsolve
+ * to solve this non-linear equation. The use of the helper function is necessary to avoid 
+ * interference of the MATLAB syntax with Dynare's preprocessor. A more complicated alternative 
+ * that provides more flexibility in the type of commands executed and functions called is the use 
+ * of an explicit steady state file. See the NK_baseline.mod in the Examples Folder.
+ * 
+ * This mod-file also shows how to use Dynare's capacities to generate TeX-files of the model equations. 
+ * If you want to see the model equations belonging to this mod-file, run it using Dynare 
+ * and then use a TeX-editor to compile the TeX-files generated.
+ */
+
+/*
+ * Copyright © 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 <https://www.gnu.org/licenses/>.
+ */
+
+@#define unit_root_var=0
+
+var y, c, k, a, h, b
+@#if unit_root_var==1
+    , unit_root
+@#endif
+;
+varexo e, u;
+
+parameters beta $\beta$
+     rho $\rho$
+     alpha $\alpha$
+     delta $\delta$
+     theta $\theta$
+     psi $\psi$
+     tau $\tau$;
+
+alpha = 0.36;
+rho   = 0.95;
+tau   = 0.025;
+beta  = 0.99;
+delta = 0.025;
+psi   = 0;
+theta = 2.95;
+
+phi   = 0.1;
+
+model;
+c*theta*h^(1+psi)=(1-alpha)*y;
+k = beta*(((exp(b)*c)/(exp(b(+1))*c(+1)))
+    *(exp(b(+1))*alpha*y(+1)+(1-delta)*k));
+y = exp(a)*(k(-1)^alpha)*(h^(1-alpha));
+k = exp(b)*(y-c)+(1-delta)*k(-1);
+a = rho*a(-1)+tau*b(-1) + e;
+b = tau*a(-1)+rho*b(-1) + u;
+@#if unit_root_var==1
+    unit_root=unit_root(-1)+e;
+@#endif
+end;
+
+steady_state_model;
+h=example3_steady_state_helper(alpha,beta,delta,psi,theta);
+k=((1/beta-(1-delta))/alpha)^(1/(alpha-1))*h;
+y = k^alpha*h^(1-alpha);
+c=(1-alpha)*y/(theta*h^(1+psi));
+a=0;
+b=0;
+end;
+
+shocks;
+var e; stderr 0.009;
+var u; stderr 0.009;
+var e, u = phi*0.009*0.009;
+end;
+
+stoch_simul(irf=0,conditional_variance_decomposition=[1,4,40],pruning,order=1);
+oo1_=oo_;
+stoch_simul(irf=0,conditional_variance_decomposition=[1,4,40],pruning,order=1) y k;
+oo2_=oo_;
+stoch_simul(irf=0,conditional_variance_decomposition=[1,4,40],pruning,order=2) y k ;
+oo3_=oo_;
+stoch_simul(irf=0,conditional_variance_decomposition=[1,4,40],pruning,order=2);
+oo4_=oo_;
+
+if max(max(abs(oo1_.variance_decomposition-oo4_.variance_decomposition)))>1e-8 || max(max(abs(oo2_.variance_decomposition-oo3_.variance_decomposition)))>1e-8
+    error('Unconditional variance decomposition does not match.')
+end
+
+if max(max(max(abs(oo1_.conditional_variance_decomposition-oo4_.conditional_variance_decomposition))))>1e-8 || max(max(max(abs(oo2_.conditional_variance_decomposition-oo3_.conditional_variance_decomposition)))) >1e-8
+    error('Conditional variance decomposition does not match.')
+end
+
+varobs y;
+shocks;
+var y; stderr 0.01;
+end;
+
+stoch_simul(irf=0,conditional_variance_decomposition=[1,4,40],pruning,order=1);
+oo1_=oo_;
+stoch_simul(irf=0,conditional_variance_decomposition=[1,4,40],pruning,order=1) y k;
+oo2_=oo_;
+stoch_simul(irf=0,conditional_variance_decomposition=[1,4,40],pruning,order=2) y k ;
+oo3_=oo_;
+stoch_simul(irf=0,conditional_variance_decomposition=[1,4,40],pruning,order=2);
+oo4_=oo_;
+
+
+if max(max(abs(oo1_.variance_decomposition-oo4_.variance_decomposition)))>1e-8 || max(max(abs(oo2_.variance_decomposition-oo3_.variance_decomposition)))>1e-8
+    error('Unconditional variance decomposition does not match.')
+end
+
+if max(max(max(abs(oo1_.conditional_variance_decomposition-oo4_.conditional_variance_decomposition))))>1e-8 || max(max(max(abs(oo2_.conditional_variance_decomposition-oo3_.conditional_variance_decomposition)))) >1e-8
+    error('Conditional variance decomposition does not match.')
+end
+
+if max(max(abs(oo1_.variance_decomposition_ME-oo4_.variance_decomposition_ME)))>1e-2 || max(max(abs(oo2_.variance_decomposition_ME-oo3_.variance_decomposition_ME)))>1e-2
+    error('Unconditional variance decomposition with ME does not match.')
+end
+
+if max(max(max(abs(oo1_.conditional_variance_decomposition_ME-oo4_.conditional_variance_decomposition_ME))))>1e-8 || max(max(max(abs(oo2_.conditional_variance_decomposition_ME-oo3_.conditional_variance_decomposition_ME))))>1e-8
+    error('Conditional variance decomposition with ME does not match.')
+end
diff --git a/tests/conditional_variance_decomposition/example3_steady_state_helper.m b/tests/conditional_variance_decomposition/example3_steady_state_helper.m
new file mode 100644
index 0000000000000000000000000000000000000000..65c47f45f8ab1480173d9fa483d42f1f3fb72e1d
--- /dev/null
+++ b/tests/conditional_variance_decomposition/example3_steady_state_helper.m
@@ -0,0 +1,5 @@
+function h=example3_steady_state_helper(alpha,beta,delta,psi,theta)
+options=optimset('Display','Final','TolX',1e-10,'TolFun',1e-10);
+h=fsolve(@(h)1- ((((((1/beta-(1-delta))/alpha)^(1/(alpha-1))*h)^(alpha-1))*(h^(1-alpha))-(((1-alpha)*((((1/beta-(1-delta))/alpha)^(1/(alpha-1)))^alpha))/(theta*h^psi))/(((1/beta-(1-delta))/alpha)^(1/(alpha-1))*h))+(1-delta)),0.2,options);
+
+