# How many observations are needed to calibrate a DSGE model?

**URL:** <https://forum.dynare.org/t/how-many-observations-are-needed-to-calibrate-a-dsge-model/16802>\
**Category:** General DSGE Modeling\
**Created:** [21 October 2020 06:27 UTC](https://forum.dynare.org/t/how-many-observations-are-needed-to-calibrate-a-dsge-model/16802 "2020-10-21T06:27:11Z")\
**Posts on this page:** 1\
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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:** [21 October 2020 19:30 UTC](https://forum.dynare.org/t/how-many-observations-are-needed-to-calibrate-a-dsge-model/16802/2 "2020-10-21T19:30:08Z")

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See

> [@Limited number of observations](https://forum.dynare.org/t/limited-number-of-observations/3215/2):
>
> My answer referred to the fact that using a two-sided HP-filter with just 32 observations will not work because the HP introduces considerable artifacts at the beginning and the end of the sample. If you use 32 observations, essentially your whole sample is affected. With Bayesian estimation, you can “estimate” your model without any data. Your result will simply be your prior. Nevertheless, ideally you want your data to be informative in order to update your prior. When you are dealing with bu…

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