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