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Structure, Behavior, and Market Power in an Evolutionary Labor Market with Adaptive Search

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Author Info

  • Leigh Tesfatsion

    (Iowa State University)

Abstract

This study uses an agent-based computational labor market framework to experimentally study the relationship between job capacity, job concentration, and market power. Job capacity is measured by the ratio of potential job openings to potential work offers, and job concentration is measured by the ratio of work suppliers to employers. For each experimental treatment, work suppliers and employers repeatedly seek preferred worksite partners based on continually updated expected utility, engage in efficiency-wage worksite interactions modelled as prisoner's dilemma games, and evolve their worksite behaviors over time. The main finding is that job capacity consistently trumps job concentration when it comes to predicting the relative ability of work suppliers and employers to exercise market power.

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File URL: http://128.118.178.162/eps/comp/papers/0004/0004002.pdf
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Bibliographic Info

Paper provided by EconWPA in its series Computational Economics with number 0004002.

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Length: 47 pages
Date of creation: 11 Nov 2000
Date of revision:
Handle: RePEc:wpa:wuwpco:0004002

Note: Type of Document - pdf; prepared on IBM PC - PC-TEX/; to print on HP/PostScript/; pages: 47 ; figures: included
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Web page: http://128.118.178.162

Related research

Keywords: Labor market dynamics; Market power; Capacity; Concentration; Adaptive search; Networks; Endogenous interactions; Agent-based computational economics; Evolutionary game;

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References

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  1. McFadzean, David & Tesfatsion, Leigh S., 1999. "A C++ Platform for the Evolution of Trade Networks," Staff General Research Papers 1639, Iowa State University, Department of Economics.
  2. Leigh TESFATSION, 1995. "How Economists Can Get Alife," Economic Report 37, Iowa State University Department of Economics.
  3. Dan Ashlock & Mark D. Smucker & E. Ann Stanley & Leigh Tesfatsion, 1995. "Preferential Partner Selection in an Evolutionary Study of Prisoner's Dilemma," Game Theory and Information 9501002, EconWPA, revised 20 Jan 1995.
  4. Arial Rubinstein & Asher Wolinsky, 1990. "Decentralized Trading, Strategic Behaviour and the Walrasian Outcome," Levine's Working Paper Archive 622, David K. Levine.
  5. Tesfatsion, Leigh, 1997. "A Trade Network Game with Endogenous Partner Selection," Staff General Research Papers 1680, Iowa State University, Department of Economics.
  6. Bresnahan, Timothy F., 1989. "Empirical studies of industries with market power," Handbook of Industrial Organization, in: R. Schmalensee & R. Willig (ed.), Handbook of Industrial Organization, edition 1, volume 2, chapter 17, pages 1011-1057 Elsevier.
  7. Tesfatsion, Leigh, 1998. "Preferential Partner Selection in Evolutionary Labor Markets: A Study in Agent-Based Computational Economics," Staff General Research Papers 4063, Iowa State University, Department of Economics.
  8. Joel L. Schrag, 1999. "First Impressions Matter: A Model Of Confirmatory Bias," The Quarterly Journal of Economics, MIT Press, vol. 114(1), pages 37-82, February.
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Citations

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Cited by:
  1. Klos, Tomas B. & Nooteboom, Bart, 2001. "Agent-based computational transaction cost economics," Journal of Economic Dynamics and Control, Elsevier, vol. 25(3-4), pages 503-526, March.
  2. Nicolaisen, James & Petrov, Valentin & Tesfatsion, Leigh S., 2000. "Market Power and Efficiency in a Computational Electricity Market with Discriminatory Double-Auction Pricing," Staff General Research Papers 1952, Iowa State University, Department of Economics.
  3. Sandra Tavares Silva & Aurora A.C. Teixeira, 2006. "An evolutionary model of firms' institutional behavior focusing on labor decisions," FEP Working Papers 227, Universidade do Porto, Faculdade de Economia do Porto.
  4. Christian Martin & Michael Neugart, 2009. "Shocks and Endogenous Institutions: An Agent-based Model of Labor Market Performance in Turbulent Times," Computational Economics, Society for Computational Economics, vol. 33(1), pages 31-46, February.
  5. Boudreau, James W., 2010. "Stratification and growth in agent-based matching markets," Journal of Economic Behavior & Organization, Elsevier, vol. 75(2), pages 168-179, August.
  6. Giovanni Dosi & Giorgio Fagiolo & Andrea Roventini, 2008. "Schumpeter Meeting Keynes: A Policy-Friendly Model of Endogenous Growth and Business Cycles," LEM Papers Series 2008/21, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
  7. Yang, J.-H. Steffi, 2009. "Social network influence and market instability," Journal of Mathematical Economics, Elsevier, vol. 45(3-4), pages 257-276, March.
  8. Cincotti, Silvano & Raberto, Marco & Teglio, Andrea, 2010. "Credit money and macroeconomic instability in the agent-based model and simulator Eurace," Economics - The Open-Access, Open-Assessment E-Journal, Kiel Institute for the World Economy, vol. 4(26), pages 1-32.
  9. Matteo Richiardi, 2003. "On the Use of Agent-Based Simulations," LABORatorio R. Revelli Working Papers Series 32, LABORatorio R. Revelli, Centre for Employment Studies.
  10. Dan Farhat, 2011. "Bookworms versus Party Animals: An Artificial Labor Market with Human and Social Capital Accumulation," Working Papers 1103, University of Otago, Department of Economics, revised May 2011.
  11. Gabriele R. & Fagiolo G. & Dosi G., 2004. "Towards an Evolutionary Interpretation of Aggregate Labor Market Regularities," Computing in Economics and Finance 2004 84, Society for Computational Economics.
  12. Neugart, Michael, 2008. "Labor market policy evaluation with ACE," Journal of Economic Behavior & Organization, Elsevier, vol. 67(2), pages 418-430, August.
  13. Marco Raberto & Andrea Teglio & Silvano Cincotti, 2008. "Integrating Real and Financial Markets in an Agent-Based Economic Model: An Application to Monetary Policy Design," Computational Economics, Society for Computational Economics, vol. 32(1), pages 147-162, September.
  14. Nie, Pu-yan, 2009. "Commitment for storable goods under vertical integration," Economic Modelling, Elsevier, vol. 26(2), pages 414-417, March.

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