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paper we demonstrate how BVAR and DSGE models can be used to shed light on questions that policy makers deal with in … practice using data from Sweden. We compare the forecast performance of BVAR and DSGE models with the Riksbank's official, more …
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policy. We apply this evidence to calibrate free parameters of an otherwise estimated DSGE model in order to dampen the FG …
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In this paper, I examine the forecasting performance of a Bayesian Vector Autoregression (BVAR) model with steady … period 2016q1-2020q1. My findings suggest that inflation forecasts produced by the BVAR model are more accurate than those of … the QPM model two quarters ahead and are competitive for the longer horizon. For GDP growth, the forecasts of the BVAR …
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with the help thereof - their external demand, relying on BVAR models and using monthly time series (confidence indices … accurate BVAR model used to forecast external demand provides an unbiased forecast and also yields a better forecast of turning … points than the models used for comparison. Compared to the forecasts of international institutions, the BVAR forecast …
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shows better forecasting accuracy than the Lee-Carter and Bayesian vector autoregressive (BVAR) models without regime …-switching and while retaining the advantages of BVAR. MSBVAR provides more reliable estimates for parameter uncertainty and more … flexibility in the shapes of point-forecast curves and shapes of confidence intervals than BVAR. Through regime-switching, MSBVAR …
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We propose a prior for VAR models that exploits the panel structure of macroeconomic time series while also providing shrinkage towards zero to address overfitting concerns. The prior is flexible as it detects shared dynamics of individual variables across endogenously determined groups of...
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