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

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Author Info

  • Tesfatsion, Leigh S.

Abstract

This study undertakes a systematic experimental investigation of the relationship between market power and labor market structure (concentration and capacity conditions) when workers and employers preferentially match based on past worksite experiences. For each tested market structure, workers and employers repeatedly seek preferred worksite partners based on continually updated expected utility, engage in efficiency-wage worksite interactions modeled as prisoner's dilemma games, and evolve their worksite behaviors over time. A key finding is the presence of strong learning and network effects. Each tested market structure maps into a "spectral" distribution of observed interaction networks exhibiting one dominant attractor (frequent network pattern) with one or two weaker attractors (less frequent network patterns). Market structure is strongly predictive for the relative market power of workers and employers across all network attractors, but the magnitudes of the market power levels attained by workers and employers vary widely across the network attractors. Annotated pointers to related work can be accessed here: http://www.econ.iastate.edu/tesfatsi/tnghome.htm

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Bibliographic Info

Paper provided by Iowa State University, Department of Economics in its series Staff General Research Papers with number 1914.

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Date of creation: 01 Mar 2001
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Publication status: Published in Journal of Economic Dynamics and Control, March 2001, vol. 25 no. Nos. 3-4, pp. 419-457
Handle: RePEc:isu:genres:1914

Contact details of provider:
Postal: Iowa State University, Dept. of Economics, 260 Heady Hall, Ames, IA 50011-1070
Phone: +1 515.294.6741
Fax: +1 515.294.0221
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Web page: http://www.econ.iastate.edu
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Related research

Keywords: Labor market; evolutionary game; partner choice; endogenous network formation; Agent-based test bed;

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References

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  1. Tesfatsion, Leigh, 1998. "Preferential Partner Selection in Evolutionary Labor Markets: A Study in Agent-Based Computational Economics," Staff General Research Papers 2048, Iowa State University, Department of Economics.
  2. 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.
  3. Tesfatsion, Leigh, 1997. "A Trade Network Game with Endogenous Partner Selection," Staff General Research Papers 1680, Iowa State University, Department of Economics.
  4. Arial Rubinstein & Asher Wolinsky, 1990. "Decentralized Trading, Strategic Behaviour and the Walrasian Outcome," Levine's Working Paper Archive 622, David K. Levine.
  5. McFadzean, David & Tesfatsion, Leigh, 1999. "A C++ Platform for the Evolution of Trade Networks," Computational Economics, Society for Computational Economics, vol. 14(1-2), pages 109-34, October.
  6. Leigh TESFATSION, 1995. "How Economists Can Get Alife," Economic Report 37, Iowa State University Department of Economics.
  7. 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.
  8. 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.
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Citations

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Cited by:
  1. 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.
  2. James Nicolaisen & Valentin Petrov & Leigh Tesfatsion, 2000. "Market Power and Efficiency in a Computational Electricity Market with Discriminatory Double-Auction Pricing," Computational Economics 0004005, EconWPA.
  3. Yang, J.-H. Steffi, 2009. "Social network influence and market instability," Journal of Mathematical Economics, Elsevier, vol. 45(3-4), pages 257-276, March.
  4. James W. Boudreau, 2008. "Stratification and Growth in Agent-based Matching Markets," Working papers 2008-30, University of Connecticut, Department of Economics.
  5. Nie, Pu-yan, 2009. "Commitment for storable goods under vertical integration," Economic Modelling, Elsevier, vol. 26(2), pages 414-417, March.
  6. 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.
  7. Matteo Richiardi, 2003. "On the Use of Agent-Based Simulations," LABORatorio R. Revelli Working Papers Series 32, LABORatorio R. Revelli, Centre for Employment Studies.
  8. 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.
  9. Neugart, Michael, 2008. "Labor market policy evaluation with ACE," Journal of Economic Behavior & Organization, Elsevier, vol. 67(2), pages 418-430, August.
  10. 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.
  11. 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.
  12. 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.
  13. Dosi, Giovanni & Fagiolo, Giorgio & Roventini, Andrea, 2010. "Schumpeter meeting Keynes: A policy-friendly model of endogenous growth and business cycles," Journal of Economic Dynamics and Control, Elsevier, vol. 34(9), pages 1748-1767, September.
  14. 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.

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