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

Ozge Dilaver, Robert Jump, Paul Levine

    Research output: Contribution to journalArticlepeer-review

    34 Citations (Scopus)
    55 Downloads (Pure)

    Abstract

    Agent-based computational economics (ACE) has been used for tackling major research questions in macroeconomics for at least two decades. This growing eld positions itself as an alternative to dynamic stochastic general equilibrium (DSGE) models. In this paper, we provide a much needed review and synthesis of this literature and recent attempts to incorporate insights from ACE into DSGE models. We rst review the arguments raised against DSGE in the macroeconomic ACE (macro ACE) literature, and then review existing macro ACE models, their explanatory power and empirical performance. We then turn to the literature
    on behavioural New Keynesian models that attempts to synthesise these two approaches to macroeconomic modelling by incorporating insights of ACE into DSGE modelling. Finally, we provide a thorough description of the internally rational New Keynesian model, and discuss how this promising line of research can progress.
    Original languageEnglish
    Pages (from-to)1134-1159
    JournalJournal of Economic Surveys
    Volume32
    Issue number4
    Early online date14 May 2018
    DOIs
    Publication statusPublished - Sept 2018

    Keywords

    • Agent based computational economics
    • Agent-based Macroeconomics
    • Dynamic Stochastic General Equilibrium Models
    • New Keynesian Behavioural Models
    • Agent based modelling

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