Best methods for calibrating/estimating parameters

You are alluding to the differences between full information and partial information approaches. Some of the discussion can be found at

Estimating the model with full information techniques requires you to fully specify the data generating process. That is often hard. For that reason, you still find papers using GMM/SMM or IRF-matching (potentially in the form of indirect inference).

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