Aims and scope

The journal Computational Economics publishes scientific research in a rapidly growing multidisciplinary field that uses advanced computing capabilities to understand and solve complex problems from all branches in economics. The topics of Computational Economics include:

·         Computational methods in econometrics like filtering, bayesian and non-parametric approaches, markov processes and monte carlo simulation
·         Agent based methods, machine learning, evolutionary algorithms, (neural) network modeling
·         Computational aspects of dynamic systems, optimization, optimal control, games, equilibrium modeling
·         Hardware and software developments, modeling languages, interfaces, symbolic processing, distributed and parallel processing

Computational Economics publishes state of the art reports by invited authors, brief software reports, critical reviews and special issues devoted to the in-depth study of a particular topic. 

Computational Economics is the official journal of the Society of Computational Economics.

Officially cited as: Comput Econ