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,...

In recent years, there has been a controversial debate on how the rapid diffusion of digital technologies affects labour productivity in advanced economies. Using a multi-sector dynamic general equilibrium model, we show that cumulative labour productivity growth in the United States, Germany...

We simulate the fiscal stimulus packages set up by the German government to allevi-ate the costs of the COVID-19 pandemic in a dynamic New Keynesian multi-sectorgeneral equilibrium model. We find that, cumulated over 2020-2022, output lossesrelative to steady state can be reduced by more than 4...

Based on SVAR models identified by sign restrictions, we estimate the macroeconomic effects of financial and uncertainty shocks in the euro area and the US, paying particular attention to their effects on prices. While our results confirm that such disturbances are important drivers of output...

Investment fell sharply in the euro area after the financial crisis and has not yet returned to pre-crisis levels in many core economies. Focusing on the four largest euro-area countries, this paper investigates the role of uncertainty for investment dynamics. By doing so, we compare five...

Since the mid-1970s, firm entry rates in the United States have declined significantly. This also holds for other OECD countries over the past years. At the same time, these economies experienced a gradual process of population aging. Applying a tractable life-cycle model with endogenous firm...

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 artificial neural networks are able to predict the nominal interest rate better than linear and nonlinearTaylor rule models as...

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...

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...