Computational Economics, the official journal of the Society for Computational Economics, presents new 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. The journal 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.

Officially cited as: Comput Econ

  • Presents new research which integrates computational science with all branches in economics
  • Covers computational methods in econometrics; agent based methods; computational aspects of dynamic systems, optimization; hardware and software developments, modeling languages; etc.
  • Official journal of the Society for Computational Economics

Journal information

Editor-in-Chief
  • Hans M. Amman
Publishing model
Hybrid (Transformative Journal). Learn about publishing Open Access with us

Journal metrics

1.317 (2019)
Impact factor
1.297 (2019)
Five year impact factor
88 days
Submission to first decision
380 days
Submission to acceptance
105,420 (2020)
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Latest issue

Volume 57

Issue 3, March 2021

Special Issue: Commemorating the Birth Centennial of Herbert Simon

Latest articles

This journal has 63 open access articles

Journal updates

  • COVID-19 and impact on peer review

    As a result of the significant disruption that is being caused by the COVID-19 pandemic we are very aware that many researchers will have difficulty in meeting the timelines associated with our peer review process during normal times.  Please do let us know if you need additional time. Our systems will continue to remind you of the original timelines but we intend to be highly flexible at this time.

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About this journal

Electronic ISSN
1572-9974
Print ISSN
0927-7099
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