I'm estimating a DSGE modell with maximum likelihood and everything seems to be working fine but I don't obtain the "results from maximum likelihood" in the command window, what is wrong? I can see the results in the "modefilename"_mode.mat file, but is something wrong when it doesn't appear in the command window?
What I do obtain in the command window is this:
 
Configuring Dynare ...
[mex] Generalized QZ.
[mex] Sylvester equation solution.
[mex] Kronecker products.
[mex] Sparse kronecker products.
[mex] Bytecode evaluation.
[mex] k-order perturbation solver.
[mex] k-order solution simulation.
 
Starting Dynare (version 4.2.4).
Starting preprocessing of the model file ...
Found 33 equation(s).
Evaluating expressions...done
Computing static model derivatives:
 - order 1
Computing dynamic model derivatives:
 - order 1
 - order 2
Processing outputs ...done
Preprocessing completed.
Starting MATLAB/Octave computing.
 
STEADY-STATE RESULTS:
 
y                 		 0
C                 		 0
CH                		 0
CF                		 0
CH_f              		 0
C_f               		 0
r                 		 0
rf                		 0
bf                		 0
z_y               		 0
z_u               		 0
z_r               		 0
z_b               		 0
pi                		 0
pih               		 0
pif               		 0
pif_f             		 0
ph                		 0
pf                		 0
pf_f              		 0
w                 		 0
Q                 		 0
N                 		 0
S                 		 0
vepsHhat          		 0
vepsFhat          		 0
G                 		 0
dQSA_PCPIJAEI     		 0
dQSA_PCPIJAEIMP   		 0
logQUA_QI44       		 0
dQSA_YMN          		 0
QUA_RN3M          		 0
dAUA_WILMN_PCT_Qr 		 0
 
EIGENVALUES:
         Modulus             Real        Imaginary
               0               -0                0
      2.665e-017      -2.665e-017                0
      3.272e-017      -3.272e-017                0
      7.733e-017       7.733e-017                0
      2.603e-016      -2.603e-016                0
             0.5              0.5                0
             0.5              0.5                0
             0.5              0.5                0
             0.5              0.5                0
             0.5              0.5                0
             0.5              0.5                0
             0.5              0.5                0
             0.5              0.5                0
             0.5              0.5                0
             0.5              0.5                0
          0.5308           0.5308         0.004166
          0.5308           0.5308        -0.004166
          0.6929            0.691          0.05055
          0.6929            0.691         -0.05055
          0.8093           0.8093                0
          0.9956           0.9956                0
           1.011            1.011                0
           1.115            1.111          0.08865
           1.115            1.111         -0.08865
           1.234            1.234                0
             Inf              Inf                0
             Inf              Inf                0
             Inf              Inf                0
There are 7 eigenvalue(s) larger than 1 in modulus 
for 7 forward-looking variable(s)
 
The rank condition is verified.
 
 
You did not declare endogenous variables after the estimation command.
This version of Dynare cannot estimate non linearized models!
Set "order" equal to 1.
 
Loading 86 observations from dataestMaster.mat
Initial value of the log posterior (or likelihood): -131244.7525
-----------------
-----------------
f at the beginning of new iteration,    131244.7524955067
Predicted improvement: 27844144.636007495
lambda =          1; f =       135381.2377843
lambda =    0.33333; f =       131567.7394517
lambda =    0.11111; f =       131251.1227987
lambda =   0.037037; f =       112270.5132989
lambda =   0.012346; f =       110250.1983141
lambda =  0.0041152; f =       110499.3208517
lambda =  0.0013717; f =       114608.5533166
lambda = 0.00045725; f =       124540.0040492
lambda = 0.00015242; f =       129972.6898258
lambda = 5.0805e-005; f =       131038.5122775
lambda = 1.6935e-005; f =       131212.9681548
lambda = 5.645e-006; f =       131237.5096398
lambda = 1.8817e-006; f =       131243.0246336
lambda = 6.2723e-007; f =       131244.1233473
lambda = 2.0908e-007; f =       131244.7373170
lambda = 6.9692e-008; f =       131244.7127804
lambda = 2.3231e-008; f =       131244.1696518
Norm of dx     74.625
----
Improvement on iteration 1 =    20994.554181403
*
*
*
*
lambda = -6.2723e-007; f =       104908.3234125
lambda = -2.0908e-007; f =       104910.0841204
lambda = -6.9692e-008; f =       104909.3684936
lambda = -2.3231e-008; f =       104905.0974726
lambda = -7.7435e-009; f =       104913.1629732
lambda = -2.5812e-009; f =       104903.1424713
Norm of dx     3.6968
----
Improvement on iteration 12 =        0.000000000
improvement < crit termination
smallest step still improving too slow, reversed gradient
Objective function at mode: 104901.946025
Objective function at mode: 104901.946025
 
POSTERIOR KERNEL OPTIMIZATION PROBLEM!
 (minus) the hessian matrix at the "mode" is not positive definite!
=> posterior variance of the estimated parameters are not positive.
You should  try  to change the initial values of the parameters using
the estimated_params_init block, or use another optimization routine.
Warning: The results below are most likely wrong! 
> In dynare_estimation_1 at 436
  In dynare_estimation at 62
  In master at 375
  In dynare at 120
 
MODE CHECK
 
Fval obtained by the minimization routine: 104901.946025
 
Total computing time : 0h00m17s
			
				