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Agent-based Macroeconomics and Dynamic Stochastic General Equilibrium Models: Where do we go from here?

Author

Listed:
  • Özge Dilaver

    (University of Surrey)

  • Robert Jump

    (Kingston University London)

  • Paul Levine

    (University of Surrey)

Abstract

Agent-based computational economics (ACE) has been used for tackling major research questions in macroeconomics for at least two decades. This growing field positions itself as an alternative to dynamic stochastic general equilibrium (DSGE) models. In this paper we first review the arguments raised against DSGE in the ACE literature. We then review existing ACE models, and their empirical performance. We then turn to a literature on behavioural New Keynesian models that attempts to synthesise these two approaches to macroeconomic modelling by incorporating some of the insights of ACE into DSGE modelling. We highlight the individually rational New Keynesian model following Deak et al. (2015) and discuss how this line of research can progress.

Suggested Citation

  • Özge Dilaver & Robert Jump & Paul Levine, 2016. "Agent-based Macroeconomics and Dynamic Stochastic General Equilibrium Models: Where do we go from here?," School of Economics Discussion Papers 0116, School of Economics, University of Surrey.
    • Handle: RePEc:sur:surrec:0116
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    JEL classification:

    • E03 - Macroeconomics and Monetary Economics - - General - - - Behavioral Macroeconomics
    • E12 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Keynes; Keynesian; Post-Keynesian; Modern Monetary Theory
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles

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