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A Multiagent Simulation Of A Stylized French Labor Market: Emergences At The Micro Level

Author

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  • ZACH LEWKOVICZ

    (Computer Science Laboratory (LIP6), Université Pierre et Marie Curie — Paris 6, 104 avenue du Président Kennedy, 75016 Paris, France)

  • JEAN-DANIEL KANT

    (Computer Science Laboratory (LIP6), Université Pierre et Marie Curie — Paris 6, 104 avenue du Président Kennedy, 75016 Paris, France)

Abstract

The aim of this work is to design a multiagent system (MAS) simulation to model the French labor market. We departed from an economic model proposed by Cahuc and Carcillo to model the introduction of a new job contract into the labor market. We designed a specific methodology to convert this equation-based model to an agent-based model, and calibrated our MAS to reproduce the data found in the economic simulations. As we observed the same tendencies found in the former model, a new dimension emerged from the agent-based simulation: an increase of oscillations for the characteristic rates, revealing an increase of precariousness (job instability) due to the new type of contract. Moreover, our simulation enabled us to detect and correct some flaws of the Cobb–Douglas type of matching function. These encouraging results led us to continue in that direction, where several extensions of our model can be proposed, including the move to a large-scale simulation framework.

Suggested Citation

  • Zach Lewkovicz & Jean-Daniel Kant, 2008. "A Multiagent Simulation Of A Stylized French Labor Market: Emergences At The Micro Level," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 11(02), pages 217-230.
    • Handle: RePEc:wsi:acsxxx:v:11:y:2008:i:02:n:s0219525908001581
    DOI: 10.1142/S0219525908001581
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    References listed on IDEAS

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    1. Tesfatsion, Leigh & Judd, Kenneth L., 2006. "Handbook of Computational Economics, Vol. 2: Agent-Based Computational Economics," Staff General Research Papers Archive 10368, Iowa State University, Department of Economics.
    2. Leigh Tesfatsion & Kenneth L. Judd (ed.), 2006. "Handbook of Computational Economics," Handbook of Computational Economics, Elsevier, edition 1, volume 2, number 2.
    3. Roberto Gabriele, 2002. "Labor Market Dynamics and Institutions: an Evolutionary Approach," LEM Papers Series 2002/07, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    4. Mark Pingle & Leigh Tesfatsion, 2004. "Evolution Of Worker-Employer Networks And Behaviors Under Alternative Non-Employment Benefits: An Agent-Based Computational Study," World Scientific Book Chapters, in: Roberto Leombruni & Matteo Richiardi (ed.), Industry And Labor Dynamics The Agent-Based Computational Economics Approach, chapter 8, pages 129-163, World Scientific Publishing Co. Pte. Ltd..
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    Cited by:

    1. Olivier Goudet & Jean-Daniel Kant & Gérard Ballot, 2017. "WorkSim: A Calibrated Agent-Based Model of the Labor Market Accounting for Workers’ Stocks and Gross Flows," Computational Economics, Springer;Society for Computational Economics, vol. 50(1), pages 21-68, June.
    2. Olivier Goudet & Gérard Ballot & Jean-Daniel Kant, 2015. "How to choose a contract type in the French Labor Market : an agent-based model," Post-Print hal-01512938, HAL.
    3. Nan Lu, 2018. "La modélisation de l’indice CAC 40 avec un modèle basé agent," Erudite Ph.D Dissertations, Erudite, number ph18-02 edited by François Legendre.

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