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Evolution of Worker-Employer Networks and Behaviors Under Alternative Non-Employment Benefits: An Agent-Based Computational Study

Listed author(s):
  • Leigh Tesfatsion
  • Mark Pingle

AbstractThis study experimentally tests the effects of a non-employment payment on work-site behaviors and market efficiency in the context of an agent-based computational labor market model with autonomous strategically-interacting workers and employers. On average, we find that a low but positive non-employment payment is most efficient, especially over the short and intermediate run. A high non-employment payment encourages those who enter employment relationships to be cooperative, but the cost of the non-employment payment program significantly reduces efficiency. Having no non-employment payment encourages the formation of employment relationships, but non-cooperation is common and this reduces efficiency. These “average” results should be viewed with caution, however. Because of strong network and learning effects, quite different paths and ultimate outcomes can result from the same initial structural conditions.

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File URL: http://www.econ.iastate.edu/tesfatsi/alabmplt.pdf
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Paper provided by Society for Computational Economics in its series Computing in Economics and Finance 2003 with number 7.

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Date of creation: 01 Aug 2003
Handle: RePEc:sce:scecf3:7
Contact details of provider: Web page: http://comp-econ.org/
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  1. McFadzean, David & Tesfatsion, Leigh, 1999. "A C++ Platform for the Evolution of Trade Networks," Computational Economics, Springer;Society for Computational Economics, vol. 14(1-2), pages 109-134, October.
  2. Nickell, Stephen & Layard, Richard, 1999. "Labor market institutions and economic performance," Handbook of Labor Economics,in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 46, pages 3029-3084 Elsevier.
  3. Roth,Alvin E. & Sotomayor,Marilda A. Oliveira, 1992. "Two-Sided Matching," Cambridge Books, Cambridge University Press, number 9780521437882, Diciembre.
  4. Hamermesh, Daniel S., 1999. "LEEping into the future of labor economics: the research potential of linking employer and employee data," Labour Economics, Elsevier, vol. 6(1), pages 25-41, March.
  5. MacLeod, W Bentley & Malcomson, James M, 1998. "Motivation and Markets," American Economic Review, American Economic Association, vol. 88(3), pages 388-411, June.
  6. Alvin E. Roth, 2002. "The Economist as Engineer: Game Theory, Experimentation, and Computation as Tools for Design Economics," Econometrica, Econometric Society, vol. 70(4), pages 1341-1378, July.
  7. Leigh Tesfatsion, 2000. "Hysteresis in an Evolutionary Labor Market with Adaptive Search," Computational Economics 0004003, EconWPA.
  8. 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.
  9. Leigh TESFATSION, 1995. "A Trade Network Game With Endogenous Partner Selection," Economic Report 36, Iowa State University Department of Economics.
  10. Acemoglu, Daron & Shimer, Robert, 2000. "Productivity gains from unemployment insurance," European Economic Review, Elsevier, vol. 44(7), pages 1195-1224, June.
  11. David McFadzean & Deron Stewart & Leigh Tesfatsion, 2000. "A Computational Laboratory for Evolutionary Trade Networks," Computational Economics 0004004, EconWPA.
  12. Leigh Tesfatsion, 2002. "Agent-Based Computational Economics," Computational Economics 0203001, EconWPA, revised 15 Aug 2002.
  13. Matthew Rabin & Joel L. Schrag, 1999. "First Impressions Matter: A Model of Confirmatory Bias," The Quarterly Journal of Economics, Oxford University Press, vol. 114(1), pages 37-82.
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