DocumentCode
120860
Title
How agent-based modeling and simulation relates to CGE and DSGE modeling
Author
Grabner, Claudius
Author_Institution
Inst. for Institutional & Innovation Econ., Univ. of Bremen, Bremen, Germany
fYear
2014
fDate
27-28 March 2014
Firstpage
349
Lastpage
356
Abstract
This paper compares the formal foundations of the currently most common applied models in Economics, computable general equilibrium (CGE) and dynamic stochastic general equilibrium (DSGE) models, with that of agent-based models and simulations (ABMS). It is argued that the claim made by many economists, that CGE and DSGE models have a superior formalism and are clearer models, is misleading. The models are also compared theoretically and it is argued that although there are no relevant technical differences between them, that the underlying epistemological and ontological convictions frequently differ. In this context the question of whether ABMS constitute a new paradigm in economics is assessed. It is also argued that economists can benefit from the discussion about agent-based and equation-based models in other fields such as epidemiology and ecology.
Keywords
digital simulation; economics; financial data processing; multi-agent systems; ontologies (artificial intelligence); stochastic processes; ABMS; CGE; DSGE; agent-based models and simulations; computable general equilibrium model; dynamic stochastic general equilibrium model; economic models; ontological conviction; Biological system modeling; Complexity theory; Computational modeling; Economics; Mathematical model; Numerical models; Steady-state;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence for Financial Engineering & Economics (CIFEr), 2104 IEEE Conference on
Conference_Location
London
Type
conf
DOI
10.1109/CIFEr.2014.6924094
Filename
6924094
Link To Document