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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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The energy transition requires substantial amounts of metals such as copper, nickel, cobalt and lithium. Are these metals a key bottleneck? We identify metal-specific demand shocks, estimate supply elasticities and pin down the price impact of the energy transition in a structural scenario...
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selection of forecasting models to tackle their common data features yet distinct problems. …
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