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
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;
Conference_Titel :
Computational Intelligence for Financial Engineering & Economics (CIFEr), 2104 IEEE Conference on
Conference_Location :
London
DOI :
10.1109/CIFEr.2014.6924094