Macroeconomic Policy in DSGE and Agent-Based Models Redux: New Developments and Challenges Ahead

Fagiolo, Giorgio and Roventini, Andrea (2017) Macroeconomic Policy in DSGE and Agent-Based Models Redux: New Developments and Challenges Ahead. Journal of Artificial Societies and Social Simulation, 20 (1). ISSN 1460-7425

[thumbnail of get_pdf.php] Text
get_pdf.php

Download (66B)
[thumbnail of get_pdf.php] Text
get_pdf.php - Published Version

Download (66B)

Abstract

The Great Recession seems to be a natural experiment for economic analysis, in that it has shown the inadequacy of the predominant theoretical framework - the New Neoclassical Synthesis (NNS) - grounded on the DSGE model. In this paper, we present a critical discussion of the theoretical, empirical and political-economy pitfalls of the DSGE-based approach to policy analysis. We suggest that a more fruitful research avenue should escape the strong theoretical requirements of NNS models (e.g., equilibrium, rationality, representative agent, etc.) and consider the economy as a complex evolving system, i.e. as an ecology populated by heterogenous agents, whose far-from-equilibrium interactions continuously change the structure of the system. This is indeed the methodological core of agent-based computational economics (ACE), which is presented in this paper. We also discuss how ACE has been applied to policy analysis issues, and we provide a survey of macroeconomic policy applications (fiscal and monetary policy, bank regulation, labor market structural reforms and climate change interventions). Finally, we conclude by discussing the methodological status of ACE, as well as the problems it raises.

Item Type: Article
Subjects: OA Open Library > Computer Science
Depositing User: Unnamed user with email support@oaopenlibrary.com
Date Deposited: 18 Oct 2023 04:03
Last Modified: 18 Oct 2023 04:03
URI: http://archive.sdpublishers.com/id/eprint/1316

Actions (login required)

View Item
View Item