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How to assess whether the approximation method does well ?

PostPosted: Thu Aug 18, 2016 2:14 pm
by dynare16
Hi,

I was wondering if there is some way to know whether relying on low-order perturbation method provides a good enough approximation of the actual optimal decision rule in some specific model ?

How can we see which one of first-order, second-order or third order approximation is more appropriate for solving a specific model and whether it is appropriate at all ?

I had a look at the residuals in my model's equations when simulating the model over a large number of periods, but I don't know what is considered as a high residual or not.

Is there some better way to assess this ?

Thanks a lot !

Re: How to assess whether the approximation method does well

PostPosted: Fri Aug 19, 2016 8:05 am
by jpfeifer
Usually, one goes for Euler errors that have a somewhat better interpretation. See e.g. http://sims.princeton.edu/yftp/Macro2009/NLmethods.pdf