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

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  • Tesfatsion, Leigh S.

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 orders, 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. Related work can be accessed here: http://www.econ.iastate.edu/tesfatsi/tnghome.htm

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File URL: http://www.econ.iastate.edu/tesfatsi/mpevlab.pdf
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Bibliographic Info

Paper provided by Iowa State University, Department of Economics in its series Staff General Research Papers with number 1681.

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Date of creation: 31 Dec 2009
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Handle: RePEc:isu:genres:1681

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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: market power; agent-based computational economics; evolutionary game; Labor market dynamics; job capacity; job concentration; adaptive search; networks; endogenous interactions;

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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 4063, Iowa State University, Department of Economics.
  2. Rubinstein, Ariel & Wolinsky, Asher, 1990. "Decentralized Trading, Strategic Behaviour and the Walrasian Outcome," Review of Economic Studies, Wiley Blackwell, vol. 57(1), pages 63-78, January.
  3. Leigh TESFATSION, 1995. "How Economists Can Get Alife," Economic Report 37, Iowa State University Department of Economics.
  4. 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.
  5. Leigh TESFATSION, 1995. "A Trade Network Game With Endogenous Partner Selection," Economic Report 36, Iowa State University Department of Economics.
  6. Ashlock, Daniel & Smucker, Mark D. & Stanley, E. Ann & Tesfatsion, Leigh S., 1996. "Preferential Partner Selection in an Evolutionary Study of Prisoner's Dilemma," Staff General Research Papers 1687, Iowa State University, Department of Economics.
  7. 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.
  8. 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.
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Citations

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Cited by:
  1. 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.
  2. 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.
  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. Neugart, Michael, 2008. "Labor market policy evaluation with ACE," Journal of Economic Behavior & Organization, Elsevier, vol. 67(2), pages 418-430, August.
  5. 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.
  6. 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.
  7. 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.
  8. 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.
  9. 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.
  10. Matteo Richiardi, 2003. "On the Use of Agent-Based Simulations," LABORatorio R. Revelli Working Papers Series 32, LABORatorio R. Revelli, Centre for Employment Studies.
  11. Nie, Pu-yan, 2009. "Commitment for storable goods under vertical integration," Economic Modelling, Elsevier, vol. 26(2), pages 414-417, March.
  12. 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.
  13. 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.
  14. James W. Boudreau, 2008. "Stratification and Growth in Agent-based Matching Markets," Working papers 2008-30, University of Connecticut, Department of Economics.

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