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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 discusses the notion of cointegrating space for linear processes integrated of any order. It first shows that the notions of (polynomial) cointegrating vectors and of root functions coincide. Second, it discusses how the cointegrating space can be defined (i) as a vector space of...
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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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