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No man is an island : the Impact of Heterogeneity and local interactions on Macroeconomic Dynamics

Author

Listed:
  • Mattia Guerini

    (Scuola Superiore Sant'Anna)

  • Mauro Napoletano

    (OFCE and SKEMA Business School)

  • Andrea Roventini

    (Scuola Superiore Sant'Anna - OFCE Sciences Po)

Abstract

We develop an agent-based model in which heterogeneous firms and households interact in labor and good markets according to centralized or decentralized search and matching protocols. As the model has a deterministic backbone and a full-employment equilibrium, it can be directly compared to Dynamic Stochastic General Equilibrium (DSGE) models. We study the effects of negative productivity shocks by way of impulse-response func- tions (IRF). Simulation results show that when search and matching are centralized, the economy is always able to return to the full employment equilibrium and IRFs are similar to those generated by DSGE models. However, when search and matching are local, co- ordination failures emerge and the economy persistently deviates from full employment. Moreover, agents display persistent heterogeneity. Our results suggest that macroeco- nomic models should explicitly account for agents’ heterogeneity and direct interactions.

Suggested Citation

  • Mattia Guerini & Mauro Napoletano & Andrea Roventini, 2016. "No man is an island : the Impact of Heterogeneity and local interactions on Macroeconomic Dynamics," Documents de Travail de l'OFCE 2016-18, Observatoire Francais des Conjonctures Economiques (OFCE).
  • Handle: RePEc:fce:doctra:1618
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    More about this item

    Keywords

    Agent-based model; Local interaction; Heterogeneous agents; DGSE Model;
    All these keywords.

    JEL classification:

    • E03 - Macroeconomics and Monetary Economics - - General - - - Behavioral Macroeconomics
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications

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