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Preferential Partner Selection in Evolutionary Labor Markets: A Study in Agent-Based Computational Economics

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  • Tesfatsion, Leigh

Abstract

This paper reports on computational experiments for an agent-based computational economics (ACE) model of a labor market with choice and refusal of contractual partners and endogenously evolving work-site behaviors. Three types of labor market structures are examined: two-sided markets comprising workers and employers; partially fluid markets comprising pure workers, pure employers, and agents capable of functioning both as workers and employers; and endogenous-type markets in which each agent is capable of functioning as both a worker and an employer. Particular attention is focused on experimentally determined correlations between market structure and the formation and evolution of contractual networks, and between contractual network formation and the types of work-site interactions and social welfare outcomes that these contractual networks support. Related work can be accessed at: http://www2.econ.iastate.edu/tesfatsi/tnghome.htm

Suggested Citation

  • Tesfatsion, Leigh, 1998. "Preferential Partner Selection in Evolutionary Labor Markets: A Study in Agent-Based Computational Economics," Staff General Research Papers Archive 2048, Iowa State University, Department of Economics.
    • Handle: RePEc:isu:genres:2048
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    References listed on IDEAS

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    1. Tesfatsion, Leigh, 1995. "A Trade Network Game with Endogenous Partner Selection," ISU General Staff Papers 199505010700001034, Iowa State University, Department of Economics.
    2. Tesfatsion, Leigh, 1995. "How Economists Can Get Alife," Economic Reports 18196, Iowa State University, Department of Economics.
    3. Diamond, Peter A, 1982. "Aggregate Demand Management in Search Equilibrium," Journal of Political Economy, University of Chicago Press, vol. 90(5), pages 881-894, October.
    4. Stephen Nickell, 1997. "Unemployment and Labor Market Rigidities: Europe versus North America," Journal of Economic Perspectives, American Economic Association, vol. 11(3), pages 55-74, Summer.
    5. David Banks & Kathleen Carley, 1994. "Metric inference for social networks," Journal of Classification, Springer;The Classification Society, vol. 11(1), pages 121-149, March.
    6. Roth, Alvin E. & Sotomayor, Marilda, 1992. "Two-sided matching," Handbook of Game Theory with Economic Applications, in: R.J. Aumann & S. Hart (ed.), Handbook of Game Theory with Economic Applications, edition 1, volume 1, chapter 16, pages 485-541, Elsevier.
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    Cited by:

    1. Neugart, Michael, 2006. "Labor market policy evaluation with an agent-based model," Discussion Papers, Research Unit: Labor Market Policy and Employment SP I 2006-113, WZB Berlin Social Science Center.
    2. Tesfatsion, Leigh, 1999. "Hysteresis in an Evolutionary Labor Market with Adaptive Search," ISU General Staff Papers 199910010700001048, Iowa State University, Department of Economics.
    3. Tesfatsion, Leigh, 2001. "Structure, behavior, and market power in an evolutionary labor market with adaptive search," Journal of Economic Dynamics and Control, Elsevier, vol. 25(3-4), pages 419-457, March.
    4. Leigh Tesfatsion, 2002. "Agent-Based Computational Economics," Computational Economics 0203001, University Library of Munich, Germany, revised 15 Aug 2002.
    5. Leigh Tesfatsion, 1998. "Ex Ante Capacity Effects in Evolutionary Labor Markets with Adaptive Search," Labor and Demography 9811003, University Library of Munich, Germany.
    6. Tesfatsion, Leigh, 1998. "Teaching Agent-Based Computational Economics to Graduate Students," ISU General Staff Papers 199807010700001043, Iowa State University, Department of Economics.
    7. 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..
    8. Yang, J.-H. Steffi, 2009. "Social network influence and market instability," Journal of Mathematical Economics, Elsevier, vol. 45(3-4), pages 257-276, March.
    9. Neugart, Michael, 2008. "Labor market policy evaluation with ACE," Journal of Economic Behavior & Organization, Elsevier, vol. 67(2), pages 418-430, August.
    10. Leigh Tesfatsion, 1999. "Market Power Effects on Worker-Employer Network Formation in Evolutionary Labor Markets with Adaptive Search," Computing in Economics and Finance 1999 543, Society for Computational Economics.
    11. Pingle, Mark & Tesfatsion, Leigh, 2003. "Evolution of Worker-Employer Networks and Behaviors Under Alternative Non-Employment Benefits: An Agent-Based Computational Approach," Staff General Research Papers Archive 10376, Iowa State University, Department of Economics.
    12. Matteo Richiardi, 2003. "On the Use of Agent-Based Simulations," LABORatorio R. Revelli Working Papers Series 32, LABORatorio R. Revelli, Centre for Employment Studies.
    13. Moreno Baruffini, 2013. "An agent-based simulation of the Swiss labour market : an alternative for the labour market policy evaluation," ERSA conference papers ersa13p216, European Regional Science Association.

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    More about this item

    Keywords

    Labor market; evolutionary game; network formation; Agent-based test bed; partner choice; work-site behavior;
    All these keywords.

    JEL classification:

    • C6 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling
    • D4 - Microeconomics - - Market Structure, Pricing, and Design
    • E2 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment
    • E6 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook
    • J2 - Labor and Demographic Economics - - Demand and Supply of Labor

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