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Macroeconomic Policy in DSGE and Agent-Based Models

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  • Giorgio Fagiolo
  • Andrea Roventini

Abstract

The Great Recession seems to be a natural experiment for macroeconomics showing the inadequacy of the predominant theoretical framework?the New Neoclassical Synthesis?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 to pursue is to explore alternative theoretical paradigms, which can escape the strong theoretical requirements of neoclassical models (e.g., equilibrium, rationality, representative agent, etc.). We briefly introduce one of the most successful alternative research projects?known in the literature as agent-based computational economics (ACE)?and we present the way it has been applied to policy analysis issues. We then provide a survey of agent-based models addressing macroeconomic policy issues. Finally, we conclude by discussing the methodological status of ACE, as well as the (many) problems it raises.

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Bibliographic Info

Article provided by Presses de Sciences-Po in its journal Revue de l'OFCE.

Volume (Year): N° 124 (2012)
Issue (Month): 5 ()
Pages: 67-116

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Handle: RePEc:cai:reofsp:reof_124_0067

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Keywords: economic policy; monetary and fiscal policies; new neoclassical synthesis; new keynesian models; DSGE models; agent-based computational economics; agent-based models; great recession; crisis;

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  1. Here we go again: ABM versus DSGE
    by Economic Logician in Economic Logic on 2012-11-08 15:23:00
  2. [??]ABM??????
    by himaginary in himaginaryの日記 on 2012-11-13 08:00:00
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  1. Riccetti, Luca & Russo, Alberto & Gallegati, Mauro, 2013. "Unemployment benefits and financial factors in an agent-based macroeconomic model," Economics Discussion Papers 2013-9, Kiel Institute for the World Economy.
  2. Zakaria Babutsidze, 2012. "Asymmetric (S,s) Pricing: Implications for Monetary Policy," Revue de l'OFCE, Presses de Sciences-Po, vol. 0(5), pages 177-204.
  3. Lengnick, Matthias & Krug, Sebastian & Wohltmann, Hans-Werner, 2012. "Money creation and financial instability: An agent-based credit network approach," Economics Working Papers 2012-15, Christian-Albrechts-University of Kiel, Department of Economics.
  4. Fischer, Thomas & Riedler, Jesper, 2012. "Prices, debt and market structure in an agent-based model of the financial market," ZEW Discussion Papers 12-045, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.
  5. Giovanni Dosi & Giorgio Fagiolo & Mauro Napoletano & Andrea Roventini, 2012. "Income Distribution, Credit and Fiscal Policies in an Agent-Based Keynesian Model," LEM Papers Series 2012/03, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
  6. Christophe Blot & Marion Cochard & Jérôme Creel & Bruno Ducoudré & Danielle Schweisguth & Xavier Timbeau, 2014. "Is There an Alternative Strategy for Reducing Public Debt by 2032?," Panoeconomicus, Savez ekonomista Vojvodine, Novi Sad, Serbia, vol. 61(1), pages 39-57, Februar.
  7. Nadja König & Ingrid Größl, 2014. "Catching up with the Joneses and Borrowing Constraints: An Agent-based Analysis of Household Debt," Macroeconomics and Finance Series 201404, Hamburg University, Department Wirtschaft und Politik.
  8. Jakob Grazzini & Matteo G. Richiardi, 2013. "Consistent Estimation of Agent-Based Models by Simulated Minimum Distance," LABORatorio R. Revelli Working Papers Series 130, LABORatorio R. Revelli, Centre for Employment Studies.

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