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Unemployment benefits and financial factors in an agent-based macroeconomic model

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  • Riccetti, Luca
  • Russo, Alberto
  • Gallegati, Mauro

Abstract

This paper is aimed at investigating the effects of government intervention through unemployment benefits on macroeconomic dynamics in an agent-based decentralized matching framework. The major result is that the presence of such a public intervention in the economy stabilizes the aggregate demand and the financial conditions of the system at the cost of a modest increase of both the inflation rate and the ratio between public deficit and nominal GDP. The successful action of the public sector is sustained by the central bank, which is committed to buy outstanding government securities.

Suggested Citation

  • 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 (IfW Kiel).
    • Handle: RePEc:zbw:ifwedp:20139
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    Cited by:

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    2. Michel Alexandre & Gilberto Tadeu Lima, 2020. "Combining monetary policy and prudential regulation: an agent-based modeling approach," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 15(2), pages 385-411, April.
    3. Carlos M. Fernández-Márquez & Matías Fuentes & Juan José Martínez & Francisco J. Vázquez, 2021. "Productivity and unemployment: an ABM approach," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 16(1), pages 133-151, January.
    4. Laura Carvalho & Corrado Di Guilmi, 2020. "Technological unemployment and income inequality: a stock-flow consistent agent-based approach," Journal of Evolutionary Economics, Springer, vol. 30(1), pages 39-73, January.
    5. Kurt Kratena, 2015. "Thematic Report: Macroeconomic Models Including Specifically Social and Environmental Aspects. WWWforEurope Deliverable No. 8," WIFO Studies, WIFO, number 58411, February.
    6. Wei Zhao & Yi Lu & Genfu Feng, 2019. "How Many Agents are Rational in China’s Economy? Evidence from a Heterogeneous Agent-Based New Keynesian Model," Computational Economics, Springer;Society for Computational Economics, vol. 54(2), pages 575-611, August.
    7. Rengs, Bernhard & Scholz-Waeckerle, Manuel, 2017. "Consumption & Class in Evolutionary Macroeconomics," MPRA Paper 80021, University Library of Munich, Germany.
    8. Bernhard Rengs & Manuel Scholz-Wäckerle & Ardjan Gazheli & Miklós Antal & Jeroen C.J.M. van den Bergh, 2015. "Testing Innovation, Employment and Distributional Impacts of Climate Policy Packages in a Macro-evolutionary Systems Setting. WWWforEurope Working Paper No. 83," WIFO Studies, WIFO, number 57891, February.
    9. Severin Reissl, 2022. "Fiscal multipliers, expectations and learning in a macroeconomic agent‐based model," Economic Inquiry, Western Economic Association International, vol. 60(4), pages 1704-1729, October.

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    More about this item

    Keywords

    Agent-based macroeconomics; business cycle; crisis; unemployment; leverage;
    All these keywords.

    JEL classification:

    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques

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