Computational economics is an interdisciplinary research discipline that combines methods in computational science and economics to solve complex economic problems.[1] This subject encompasses computational modeling of economic systems. Some of these areas are unique, while others established areas of economics by allowing robust data analytics and solutions of problems that would be arduous to research without computers and associated numerical methods.[2]
Computational methods have been applied in various fields of economics research, including but not limiting to:
Econometrics: Non-parametric approaches, semi-parametric approaches, and machine learning.
Dynamic systems modeling: Optimization, dynamic stochastic general equilibrium modeling, and agent-based modeling.[3]
^Computational Economics. ""About This Journal" and "Aims and Scope."
^• Hans M. Amman, David A. Kendrick, and John Rust, ed., 1996. Handbook of Computational Economics, v. 1, Elsevier. Description Archived 2011-07-15 at the Wayback Machine & chapter-preview links. Archived 2020-04-06 at the Wayback Machine • Kenneth L. Judd, 1998. Numerical Methods in Economics, MIT Press. Links to description Archived 2012-02-11 at the Wayback Machine and chapter previews.
^Scott E. Page, 2008. "agent-based models," The New Palgrave Dictionary of Economics, 2nd Edition. Abstract.
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