• 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