Greetings!

I am running a loglinearized model with Dynare 4.2.2., I get the following message:

MJDGGES returns the following error code: 32

I cannot seem to find anything indicating what this code might mean. Any help would be much appreciated.

Greetings!

I am running a loglinearized model with Dynare 4.2.2., I get the following message:

MJDGGES returns the following error code: 32

I cannot seem to find anything indicating what this code might mean. Any help would be much appreciated.

If you use

```
model_diagnostics(M_,options_,oo_)
```

you get

[quote]model_diagnostic: the Jacobian of the static model is singular

there is 2 colinear relationships between the variables and the equations

Relation 1

Colinear variables:

p

pp

p0

AUX_ENDO_LEAD_175

AUX_ENDO_LEAD_181

AUX_ENDO_LEAD_187

AUX_ENDO_LEAD_193

AUX_ENDO_LEAD_199

AUX_ENDO_LAG_6_1

AUX_ENDO_LAG_6_2

AUX_ENDO_LAG_6_3

AUX_ENDO_LAG_6_4

AUX_ENDO_LAG_6_5

AUX_ENDO_LAG_6_6

Relation 2

Colinear variables:

d_7

Relation 1

Colinear equations

1 2 3 4 5 6 7 8

Relation 2

Colinear equations

14 15 16[/quote]

Hence, there still is a problem with your model setup.

I found the mistake in my code.

Thanks a lot for your help.

To **rockyyao**: can you share what kind of mistake(s) you found? As I also received similar error messages, I am wondering if your findings may give me some hints as well. Thanks a lot!

To **jpfeifer**: using your suggested command, model_diagnostics(M_,options_,oo_), I found that there is also a colinear problem with 2 variables in my model equations. What does this generally mean? Can you provide some advice on what to do next? I really appreciate in advance.

In my case, I found the parameter matrix A has a colume of zeros ( Xt+1 = A Xt + B et) , so that it has not full rank. I think colinearity means the same thing. You might check your model carefully, if possible, write out the A matrix explicitly or change parameter values to see if it has a full rank or not.

Maybe it helps…

I see. Thank you very much for your suggestion.

[quote=“rockyyao”]In my case, I found the parameter matrix A has a colume of zeros ( Xt+1 = A Xt + B et) , so that it has not full rank. I think colinearity means the same thing. You might check your model carefully, if possible, write out the A matrix explicitly or change parameter values to see if it has a full rank or not.

Maybe it helps…[/quote]

I have solved this problem but got another one which says:

??? Error using ==> print_info at 39

Blanchard Kahn conditions are not satisfied: no stable equilibrium

There are 13 eigenvalue(s) larger than 1 in modulus

for 12 forward-looking variable(s)

Does anyone know what thse might suggest?

Thanks very much!

[quote=“grossman2000”]To **rockyyao**: can you share what kind of mistake(s) you found? As I also received similar error messages, I am wondering if your findings may give me some hints as well. Thanks a lot!

To **jpfeifer**: using your suggested command, model_diagnostics(M_,options_,oo_), I found that there is also a colinear problem with 2 variables in my model equations. What does this generally mean? Can you provide some advice on what to do next? I really appreciate in advance.[/quote]

Finally solved the problem. It was caused by a couple of small typos. Thanks for everyone.

[quote=“grossman2000”]I have solved this problem but got another one which says:

??? Error using ==> print_info at 39

Blanchard Kahn conditions are not satisfied: no stable equilibrium

There are 13 eigenvalue(s) larger than 1 in modulus

for 12 forward-looking variable(s)

Does anyone know what thse might suggest?

Thanks very much!

: can you share what kind of mistake(s) you found? As I also received similar error messages, I am wondering if your findings may give me some hints as well. Thanks a lot!

To **jpfeifer**: using your suggested command, model_diagnostics(M_,options_,oo_), I found that there is also a colinear problem with 2 variables in my model equations. What does this generally mean? Can you provide some advice on what to do next? I really appreciate in advance.[/quote]