We present a simple approach to transform a deterministic numerical model, where several agents simultaneously make decisions, into a stochastic model. This approach, which builds on scenario aggregation, a numerical method developed to solve decision problems under uncertainty, is used to build...

To help first- or second-year graduate students in economics apply their theoretical training, this paper shows how to solve a simple and intuitive computable general equilibrium (CGE) model using a calculator. Because this simplified Harberger model uses Cobb Douglas functional forms for...

We develop a stylized general equilibrium model to decompose the rebound effect of energy efficiency improvements into its partial and general equilibrium components. In our theoretical analysis, we identify key drivers of the general equilibrium rebound effect, including a composition channel,...

This paper analyses the switch to an ACE or to a CBIT type of tax system starting from the present German tax system. We show that in case an ACE type of reform is financed by an increase in the VAT and not in the profit tax, it might be preferred to a CBIT even in the context of an open...

This paper analyses the switch to an ACE or to a CBIT type of tax system starting from the present German tax system. We show that in case an ACE type of reform is financed by an increase in the VAT and not in the profit tax, it might be preferred to a CBIT even in the context of an open...

This paper studies various options to support allowance prices in the EU Emissions Trading System (ETS), such as adjusting the cap, an auction reserve price, and fixed and variable carbon taxes in addition to EU ETS. We use a dynamic computable general equilibrium model that explicitly allows...

We propose a new method for solving high-dimensional dynamic programming problems and recursive competitive equilibria with a large (but finite) number of heterogeneous agents using deep learning. The „curse of dimensionality“ is avoided due to four complementary techniques: (1) exploiting...

We propose a new method for solving high-dimensional dynamic programming problems and recursive competitive equilibria with a large (but finite) number of heterogeneous agents using deep learning. The „curse of dimensionality“ is avoided due to four complementary techniques: (1) exploiting...

The paper compares two state-of-art but very dinstinct methods used in macroeconomics: rational-expectations DSGE and bounded rationality behavioural models. Both models are extended to include a financial friction on the supply side.The result in both models is that production, supply of credit...

We compare the numerical methods that are most widely applied in the computation of the standard business cycle model with flexible labor. The numerical techniques imply economically insignificant differences with regard to business cycle summary statistics except for the volatility of...