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No Man is an Island: The Impact of Heterogeneity and Local Interactions on Macroeconomic Dynamics

Author

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  • Mattia Guerini

    (Scuola Superiore Sant'Anna)

  • Mauro Napoletano

    (Observatoire français des conjonctures économiques)

  • Andrea Roventini

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

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  • Mattia Guerini & Mauro Napoletano & Andrea Roventini, 2016. "No Man is an Island: The Impact of Heterogeneity and Local Interactions on Macroeconomic Dynamics," Sciences Po publications 2016-18, Sciences Po.
  • Handle: RePEc:spo:wpmain:info:hdl:2441/20d1ncsepb9ssq3b3v4s6nbc41
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    Cited by:

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    2. Elizabeth Jane Casabianca & Alessia Lo Turco & Daniela Maggioni, 2021. "Migration And The Structure Of Manufacturing Production. A View From Italian Provinces," Working Papers 448, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    3. Elisa Palagi & Mauro Napoletano & Andrea Roventini & Jean-Luc Gaffard, 2021. "An agent-based model of trickle-up growth and income inequality," LEM Papers Series 2021/23, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    4. Guerini, Mattia & Moneta, Alessio, 2017. "A method for agent-based models validation," Journal of Economic Dynamics and Control, Elsevier, vol. 82(C), pages 125-141.
    5. Gobbi, Alessandro & Grazzini, Jakob, 2019. "A basic New Keynesian DSGE model with dispersed information: An agent-based approach," Journal of Economic Behavior & Organization, Elsevier, vol. 157(C), pages 101-116.
    6. Tamás Sebestyén & Dóra Longauer, 2018. "Network structure, equilibrium and dynamics in a monopolistically competitive economy," Netnomics, Springer, vol. 19(3), pages 131-157, December.
    7. Gross, Marco, 2022. "Beautiful cycles: A theory and a model implying a curious role for interest," Economic Modelling, Elsevier, vol. 106(C).
    8. Emanuele Russo, 2017. "Harrodian instability in decentralized economies: an agent-based approach," LEM Papers Series 2017/17, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    9. 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.
    10. Emanuele Ciola & EDOARDO GAFFEO & Mauro Gallegati, 2018. "Matching frictions, credit reallocation and macroeconomic activity: how harmful are financial crises?," DEM Working Papers 2018/05, Department of Economics and Management.
    11. Giorgio Fagiolo & Mattia Guerini & Francesco Lamperti & Alessio Moneta & Andrea Roventini, 2017. "Validation of Agent-Based Models in Economics and Finance," LEM Papers Series 2017/23, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    12. Delli Gatti, Domenico & Grazzini, Jakob, 2020. "Rising to the challenge: Bayesian estimation and forecasting techniques for macroeconomic Agent Based Models," Journal of Economic Behavior & Organization, Elsevier, vol. 178(C), pages 875-902.
    13. Emanuele Russo, 2021. "Harrodian instability in decentralized economies: an agent-based approach," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 38(2), pages 539-567, July.
    14. Vipin P Veetil, 2017. "Coordination in Centralized and Decentralized Systems," International Journal of Microsimulation, International Microsimulation Association, vol. 10(2), pages 86-102.
    15. Lilit Popoyan, 2020. "Macroprudential Policy: a Blessing or a Curse?," Review of Economics and Institutions, Università di Perugia, vol. 11(1-2).
    16. Emanuele Ciola & Edoardo Gaffeo & Mauro Gallegati, 2021. "Search for Profits and Business Fluctuations: How Banks' Behaviour Explain Cycles?," Working Papers 450, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    17. Váry, Miklós, 2021. "The long-run real effects of monetary shocks: Lessons from a hybrid post-Keynesian-DSGE-agent-based menu cost model," Economic Modelling, Elsevier, vol. 105(C).

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    More about this item

    Keywords

    Agent-based model; Local interactions; Heterogenous agents; DGSE Model;
    All these keywords.

    JEL classification:

    • E3 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles
    • 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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