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A Short Walk on the Wild Side: Agent-Based Models and their Implications for Macroeconomic Analysis

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  • Mauro Napoletano

Abstract

This article discusses recent advances in agent-based modelling applied to macroeconomic analysis. I first introduce the building blocks of agent-based models. Furthermore, by relying on examples taken from recent works, I argue that that agent-based models may provide complementary or new lights with respect to more standard models on key macroeconomic issues like endogenous business cycles, the interactions between business cycles and long-run growth, and the role of price vs. quantity adjustments in the return to full employment. Finally, I discuss some limits of agent-based models and how they are currently addressed in the literature.

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  • Mauro Napoletano, 2018. "A Short Walk on the Wild Side: Agent-Based Models and their Implications for Macroeconomic Analysis," Revue de l'OFCE, Presses de Sciences-Po, vol. 0(3), pages 257-281.
    • Handle: RePEc:cai:reofsp:reof_157_0257
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    Cited by:

    1. Lilit Popoyan & Mauro Napoletano & Andrea Roventini, 2019. "Winter is possibly not coming: Mitigating financial instability in an agent-based model with interbank market," LEM Papers Series 2019/11, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.

    More about this item

    Keywords

    agent-based models; macroeconomic analysis; endogenous business-cycles; short and long-run dynamics; monetary and fiscal policy; price vs. quantity adjustments;

    JEL classification:

    • B41 - Schools of Economic Thought and Methodology - - Economic Methodology - - - Economic Methodology
    • B50 - Schools of Economic Thought and Methodology - - Current Heterodox Approaches - - - General
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy

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