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Detrending data before estimating the DSGE model?

PostPosted: Sat Jul 16, 2016 5:55 pm
by JX2016
Hi, everyone. I am just a rookie who has another question.

previously, I posted here with questions about my model:

viewtopic.php?f=1&t=8454

Now I plan to experiment on doing Bayesian Estimation for that model. I wonder if it is necessary to detrend the data before running the bayesian estimations?

If yes, is the regular HP-filter appropriate for my model ? (I know that sometimes 1-sided HP-filter is preferred, sometimes 1st-differecing is better....etc.)

Re: Detrending data before estimating the DSGE model?

PostPosted: Mon Jul 18, 2016 9:27 am
by jpfeifer
Please have a look at Pfeifer(2013): "A Guide to Specifying Observation Equations for the Estimation of DSGE Models" https://sites.google.com/site/pfeiferecon/Pfeifer_2013_Observation_Equations.pdf. In general, you have to use a transformation of the data that corresponds to the stationary model variables. Therefore, some filter (first difference, one-sided HP filter, linear trend) must be used.