This paper identifies U.S. monetary and fiscal dominance regimes using machine learning techniques. The algorithms are trained and verified by employing simulated data from Markov-switching DSGE models, before they classify regimes from 1968-2017 using actual U.S. data. All machine learning...

This paper identiftes U.S. monetary and ftscal dominance regimes using machine learning techniques. The algorithms are trained and verifted by employing simulated data from Markov-switching DSGE models, before they classify regimes from 1968-2017 using actual U.S. data. All machine learning...

In this paper, we compare the economic and welfare implications of two carbon pricing policies, namely the European Cap and Trade (CaT) regime and the Chinese Tradeable Performance Standard (TPS). The former sets an economy-wide emissions target and forces firms to purchase sufficient...

Climate change and climate policy will have far-reaching economic implications, thereby also posing new challenges for macroeconomic analysis. This is partly because climate risks have an important global dimension. Moreover, climate change and climate polices are likely to affect different...

The dependency on imported essential production inputs poses a threat of abrupt price hikes and shortages, potentially triggered by political events. The energy crisis resulting from the Russian war of aggression is an example. This paper investigates whether governments should bolster...

This paper analyses the forecasting performance of monetary policy reaction functions using U.S. Federal Reserve's Greenbook real-time data. The results indicate that articial neural networks are able to predict the nominal interest rate better than linear and nonlinear Taylor rule models as...

This paper analyses the forecasting performance of monetary policy reaction functions using U.S. Federal Reserve's Greenbook real-time data. The results indicate that artificial neural networks are able to predict the nominal interest rate better than linear and nonlinearTaylor rule models as...

In this paper, we introduce a closed-economy version of the dynamicenvironmental multi-sector general equilibrium modelEMuSeto analyze the effects of financing a labor tax reduction through higher consumption, energy or emissions taxation.We find that, for sufficiently high environmental damage,...

This paper introduces a reinforcement learning based approach to compute optimal interest rate reaction functions in terms of fulfilling inflation and output gap targets. The method is generally flexible enough to incorporate restrictions like the zero lower bound, nonlinear economy structures...

In a dynamic, three-region environmental multi-sector general equilibrium model (called EMuSe), we find that carbon pricing generates a recession initially as production costs rise. Benefits from lower emissions damage materialize only in the medium to long run. A border adjustment mechanism...