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Agent-based models and economic policy

Author

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  • Jean-Luc Gaffard

    (OFCE - Observatoire français des conjonctures économiques (Sciences Po) - Sciences Po - Sciences Po)

  • Mauro Napoletano

    (OFCE - Observatoire français des conjonctures économiques (Sciences Po) - Sciences Po - Sciences Po)

Abstract

Many of the factors responsible for the financial crisis (financial innovation ans securitization ;heterogeneity of agents, markets and regulatory framworks) are by and large overlooked by standard macroeconomic models which have failed to forecast the advent of the crisis and are unable to restore economic growth. agent based and computational models depart from the the representative agent paradigm, thereby introducing heterogeneity of agents' characteristics and behavior and allowing for markets that not clear. These models are better equipped to analyze the salient features of out-of equilibrium paths and provide novel insights on required economic policy during crises. This volume gathers contributions of leading scholars working on agent-based and computational models. It demonstrates how these models have reached the point where they can guide macro and micro economic policy.

Suggested Citation

  • Jean-Luc Gaffard & Mauro Napoletano, 2012. "Agent-based models and economic policy," Post-Print hal-03461120, HAL.
  • Handle: RePEc:hal:journl:hal-03461120
    Note: View the original document on HAL open archive server: https://sciencespo.hal.science/hal-03461120
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    1. Palagi, Elisa & Napoletano, Mauro & Roventini, Andrea & Gaffard, Jean-Luc, 2023. "An agent-based model of trickle-up growth and income inequality," Economic Modelling, Elsevier, vol. 129(C).

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