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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 temperature anomaly to reach 5.6 Celsius degrees in 2100. Forecasts conditional on …
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This paper analyzes the role of uncertainty on both exchange rate expectations and forecast errors of professionals for … Bayesian VAR approach, we observe that effects on forecast errors of professionals turn out to be more significant compared to …
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for economic analysis. This paper demonstrates how a VAR model with long run restrictions justified by economic theory can …
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This manual describes the usage of the accompanying freely available Matlab program for estimation and testing in the fractionally cointegrated vector autoregressive (FCVAR) model. This program replaces an earlier Matlab program by Nielsen and Morin (2014), and although the present Matlab...
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Long-run restrictions have been used extensively for identifying structural shocks in vector autoregressive (VAR) analysis. Such restrictions are typically justidentifying but can be checked by utilizing changes in volatility. This paper reviews and contrasts the volatility models that have been...
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