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This paper illustrates the usefulness of sequential Monte Carlo (SMC) methods in approximating DSGE model posterior distributions. We show how the tempering schedule can be chosen adaptively, explore the benefits of an SMC variant we call generalized tempering for "online" estimation, and...
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justified only from a Bayesian perspective. This paper demonstrates how to formulate the inference problem for sign … of frequentist and Bayesian coverage bands in the context of an empirical application—the former can be substantially …
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