# Computing Steady State with Estimated Parameters

**URL:** https://forum.dynare.org/t/computing-steady-state-with-estimated-parameters/12223
**Category:** Replication Attempts
**Created:** [4 August 2018 20:07 UTC](https://forum.dynare.org/t/computing-steady-state-with-estimated-parameters/12223 "2018-08-04T20:07:08Z")
**Posts on this page:** 1
**Showing post:** 6

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### 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: [19 August 2018 14:15 UTC](https://forum.dynare.org/t/computing-steady-state-with-estimated-parameters/12223/6 "2018-08-19T14:15:44Z")

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1. The data file is missing to run your code
2. If the model works in levels, but not with exp(), there was most probably a wrong/missing substitution somewhere. In any case, it is usually better to work with auxiliary equations to get a log-linearization. See [Question about understanding irfs in dynare](https://forum.dynare.org/t/question-about-understanding-irfs-in-dynare/10622/4)
3. Getting the MLE estimates is hard. It is a lot of trial and error. The challenging part in the beginning is to make sure that the problems do not come from mistakes in the coding.
4. I was trying to replicate their paper. Did you see the note

```auto
* CKM use the linearized model only to extract the investment wedge and the decision rules. All other wedges
 * are computed based on the original nonlinear model equations. For this purpose, the capital stock is 
 * initialized at the steady state value in the first period and then iterated forwards. This mod-file also 
 * shows how to use the Kalman smoother to directly extract the smoothed wedges. As these are based on the 
 * linearized model, they differ from the ones derived from the nonlinear equations due to Jensen's Inequality.

```

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