# Identification Stopped

**URL:** <https://forum.dynare.org/t/identification-stopped/20918>\
**Category:** Uncategorized\
**Created:** [19 August 2022 13:44 UTC](https://forum.dynare.org/t/identification-stopped/20918 "2022-08-19T13:44:04Z")\
**Posts on this page:** 2\
**Page:** 1

<div class="post-metadata">

**Author:** ![sahil](https://forum.dynare.org/letter_avatar_proxy/v4/letter/s/f6c823/32.png) [@sahil](https://forum.dynare.org/u/sahil)\
**Post date:** [19 August 2022 13:44 UTC](https://forum.dynare.org/t/identification-stopped/20918/1 "2022-08-19T13:44:04Z")

</div>

Hi everyone,

I am estimating a linear model using Bayesian methods, and I am running into a problem. The model works fine, but I get the following identification error (although the Dynare completes the estimation and gives me the results)

======== Identification Analysis ========

## Testing prior mean

## The model does not solve for prior\_mean (info = 3: Blanchard & Kahn conditions are not satisfied: no stable equilibrium.)

Try sampling up to 50 parameter sets from the prior.

* * *

## Identification stopped: The model did not solve for any of 50 attempts of random samples from the prior

dynare\_estimation\_init.m:: diffuse filter is incompatible with a qz\_criterium\<=1. Resetting it to 1+1e-6.  
Initial value of the log posterior (or likelihood): -379754.8755

Since there is unit root in the model, I tried using the diffuse\_filter option, but it still does not work.

Could anyone please help me solve this problem?  
[Files.zip](https://forum.dynare.org/uploads/short-url/j3WfalHFoxDhwo7BzfDNnT9F0nD.zip) (14.4 KB)

Thank you in advance!  
S

---

<div class="post-metadata">

**Author:** ![jpfeifer](https://forum.dynare.org/user_avatar/forum.dynare.org/jpfeifer/32/5044_2.png) [@jpfeifer](https://forum.dynare.org/u/jpfeifer)\
**Post date:** [22 August 2022 07:27 UTC](https://forum.dynare.org/t/identification-stopped/20918/2 "2022-08-22T07:27:53Z")

</div>

In Dynare 5.2 I cannot replicate any problems when setting

```auto
identification(advanced=1,diffuse_filter);

```
