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Macroeconomic Policy in DSGE and Agent-Based Models

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  • Giorgio Fagiolo

    ()
    (Sant'Anna School of Advanced Studies, Pisa)

  • Andrea Roventini

    ()
    (Department of Economics (University of Verona))

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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Paper provided by University of Verona, Department of Economics in its series Working Papers with number 07/2012.

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Length: 33
Date of creation: Feb 2012
Date of revision:
Handle: RePEc:ver:wpaper:07/2012

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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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Cited by:
  1. Lengnick, Matthias & Krug, Sebastian & Wohltmann, Hans-Werner, 2013. "Money creation and financial instability: An agent-based credit network approach," Economics - The Open-Access, Open-Assessment E-Journal, Kiel Institute for the World Economy, vol. 7(32), pages 1-44.
  2. 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.
  3. 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.
  4. Giovani Dosi & Giorgio Fagiolo & Andrea Roventini & Mauro Napoletano, 2012. "Income Distribution, Credit and Fiscal Policies in an Agent-Based Keynesian Model," INET Research Notes 11, Institute for New Economic Thinking (INET).
  5. 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.
  6. 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.
  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. 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.

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