3 papers
econ.GN2025
Using Machine Learning to Compute Constrained Optimal Carbon Tax Rules
Felix Kübler, Simon Scheidegger, Oliver Surbek
We develop a computational framework for deriving Pareto-improving and constrained optimal carbon tax rules in a stochastic overlapping generations (OLG) model with climate change.…
econ.EM2025
Building Interpretable Climate Emulators for Economics
Aryan Eftekhari, Doris Folini, Aleksandra Friedl +3
We introduce a framework for developing efficient and interpretable climate emulators (CEs) for economic models of climate change. The paper makes two main contributions. First, we…
econ.GN2025
Scalable Global Solution Techniques for High-Dimensional Models in Dynare
Aryan Eftekhari, Michel Juillard, Normann Rion +1
For over three decades, Dynare has been a cornerstone of dynamic stochastic modeling in economics, relying primarily on perturbation-based local solution methods. However, these te…