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The Chicago Fed dynamic stochastic general equilibrium (DSGE) model is used for policy analysis and forecasting at the …
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I use Bayesian VARs to forecast global temperatures anomalies until the end of the XXI century by exploiting their cointegration with the Joint Radiative Forcing (JRF) of the drivers of climate change. Under a ‘no change’ scenario, the most favorable median forecast predicts the land...
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Using real-time data, we analyze how the systematic expectation errors of professional forecasters in 19 advanced economies depend on the state of the business cycle. Our results indicate that the general result that forecasters systematically overestimate output growth (across all countries)...
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Out-of-sample forecasting tests of DSGE models against time-series benchmarks such as an unrestricted VAR are … on a widely-used DSGE model to investigate the power of these tests. We find that in specification testing they have weak … power relative to an in-sample indirect inference test; this implies that a DSGE model may be badly mis-specified and still …
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Ravenna (2007) regarding structural VAR (SVAR) models and the normal prior density of the DSGE parameter vector. In line with … methodology of constructing Dynamic Stochastic General Equilibrium (DSGE) consistent prior distributions for Bayesian Vector … Autoregressive (BVAR) models. The moments of the assumed Normal-Inverse Wishart (no conjugate) prior distribution of the VAR …
Persistent link: https://www.econbiz.de/10010339762