diff --git a/matlab/DsgeLikelihood.m b/matlab/DsgeLikelihood.m
index 8ac0ac30b539297f0a4eb9381a9633aa33f111eb..142a7a020b044e165766bdc5fb1607e08fa3d85f 100644
--- a/matlab/DsgeLikelihood.m
+++ b/matlab/DsgeLikelihood.m
@@ -285,9 +285,9 @@ function [fval,cost_flag,ys,trend_coeff,info] = DsgeLikelihood(xparam1,gend,data
               if ~estim_params_.ncn 
                   %% The univariate approach considered here doesn't 
                   %%	apply when H has some off-diagonal elements.
-                  LIK = DiffuseLikelihoodH3_Z(ST,Z,R1,Q,H,Pinf,Pstar,data1,trend,start);
+                  LIK = DiffuseLikelihoodH3_Z(ST,Z,R1,Q,H,Pinf,Pstar,data1,start);
               else
-                  LIK = DiffuseLikelihoodH3corr_Z(ST,Z,R1,Q,H,Pinf,Pstar,data1,trend,start);
+                  LIK = DiffuseLikelihoodH3corr_Z(ST,Z,R1,Q,H,Pinf,Pstar,data1,start);
               end
           end
       elseif kalman_algo == 4
@@ -295,9 +295,9 @@ function [fval,cost_flag,ys,trend_coeff,info] = DsgeLikelihood(xparam1,gend,data
           if ~estim_params_.ncn 
               %% The univariate approach considered here doesn't 
               %%	apply when H has some off-diagonal elements.
-              LIK = DiffuseLikelihoodH3_Z(ST,Z,R1,Q,H,Pinf,Pstar,data1,trend,start);
+              LIK = DiffuseLikelihoodH3_Z(ST,Z,R1,Q,H,Pinf,Pstar,data1,start);
           else
-              LIK = DiffuseLikelihoodH3corr_Z(ST,Z,R1,Q,H,Pinf,Pstar,data1,trend,start);
+              LIK = DiffuseLikelihoodH3corr_Z(ST,Z,R1,Q,H,Pinf,Pstar,data1,start);
           end
       end 
   else