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This paper analyzes the forecasting performance of an open economy DSGE model, estimated with Bayesian methods, for the … likelihood and two different Bayesian approaches, and traditional benchmark models, e.g. the random walk. The accuracy of point … present. We also critically examine the role of Bayesian model probabilities and other frequently used low …
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on the short run dynamics with a resulting prior which only depends on a few hyperparameters and is therefore easily …
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This paper tests the usefulness of time-varying parameters when forecasting with mixed-frequency data. For this we compare the forecast performance of bridge equations and unrestriced MIDAS models with constant and time-varying parameters. An out-of-sample forecasting exercise with US real-time...
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