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We explore interval forecast comparison when the nominal confidence level is specified, but the quantiles on which … forecast comparison fail them. Our negative results strengthen the case for abandoning interval forecasts in favor of density …
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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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