Error in DSGE bayesian estimation

Hello everyone,
I have tried to do a bayesian estimation, but I keep getting errors. Could someone help me resolve this? Thanks. @jpfeifer
aduinformal.xlsx (9.8 KB) Trial.mod (4.1 KB)

Modulus Real Imaginary

   9.291e-17       -9.291e-17                0
    1.08e-13         1.08e-13                0
   1.413e-10        1.413e-10                0
   1.413e-10       -1.413e-10                0
         0.2              0.2                0
      0.3187           0.3187                0
         0.8              0.8                0
         0.9              0.9                0
        1.01             1.01                0
        1.24             1.24                0
       332.3           -332.3                0
   4.596e+13        4.596e+13                0
   6.503e+16        6.503e+16                0

There are 5 eigenvalue(s) larger than 1 in modulus
for 5 forward-looking variable(s)

The rank condition is verified.

==== Identification analysis ====

Testing prior mean

All parameters are identified in the model (rank of H).

All parameters are identified by J moments (rank of J)

==== Identification analysis completed ====

You did not declare endogenous variables after the estimation/calib_smoother command.
Posterior IRFs, posterior moments will be computed for the 30
endogenous variables of your model, this can be very long…

Choose one of the following options:

[1] Consider all the endogenous variables.
[2] Consider all the observed endogenous variables.
[3] Stop Dynare and change the mod file.

options [default is 1] = 2

Initial value of the log posterior (or likelihood): -3.672085193973942e+33

Change in the posterior covariance matrix = 10.
Change in the posterior mean = 55.4995.
Mode improvement = 3.672085169200748e+33
New value of jscale = 3.5197e-16

Change in the posterior covariance matrix = 1.1102e-16.
Change in the posterior mean = 55.4995.
Mode improvement = 3.672085168941511e+33
New value of jscale = 9.0809e-19

Error using chol
Matrix must be positive definite.

Your data still has a trend.

I consulted the paper, and I actually used the HP filter to detrend my output data. Is there any other way I can solve the error?

But the data file you uploaded clearly does not contain detrended data.

@jpfeifer what I did was to use EViews to detrend my output data. Then that data from EViews was saved in the excel file I uploaded. I hope this clarifies the data file. Thank you

It seems you saved the HP trend, not the cyclical component.