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Unemployment Insurance and the Evolution of Worker-Employer\n Cooperation: Experiments with Real and Artificial Agents

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  • Mark Pingle and Leigh Tesfatsion

Abstract

This paper reports the results of human subject and computational experiments designed to examine how the level of the "inactivity payments" to workers and to employers affects the evolution of cooperation among workers and employers. The related impacts to unemployment and job vacancy rates are our primary focus. However, we also examine the impacts on labor force participation, productive efficiency, the willingness to form long term relationships, and other outcome measures.

Suggested Citation

  • Mark Pingle and Leigh Tesfatsion, 2001. "Unemployment Insurance and the Evolution of Worker-Employer\n Cooperation: Experiments with Real and Artificial Agents," Computing in Economics and Finance 2001 279, Society for Computational Economics.
    • Handle: RePEc:sce:scecf1:279
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    References listed on IDEAS

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    More about this item

    Keywords

    Agent-based computational economics; Labor market; Unemploymentn benefits; Evolution of cooperation; Adaptive search;
    All these keywords.

    JEL classification:

    • C6 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling
    • C7 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory
    • C9 - Mathematical and Quantitative Methods - - Design of Experiments
    • J2 - Labor and Demographic Economics - - Demand and Supply of Labor
    • J6 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers

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