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Bounded Rationality:Static Versus Dynamic Approaches

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  • Suren Basov

Abstract

Two kinds of theories of boundedly rational behavior are possible. Static theories focus on stationary behavior and do not include any explicit mechanism for temporal change. Dynamic theories, on the other hand, explicitly model the fine-grain adjustments made by the subjects in response to their recent experiences. The main contribution of this paper is to argue that the restrictions usually imposed on the distribution of choices in the static approach are generically not supported by a dynamic adjustment mechanism. The genericity here is understood both in the measure theoretic and in the topological sense.

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Bibliographic Info

Paper provided by The University of Melbourne in its series Department of Economics - Working Papers Series with number 874.

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Length: 42 pages
Date of creation: 2003
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Handle: RePEc:mlb:wpaper:874

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References

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  1. John Conlisk, 1996. "Why Bounded Rationality?," Journal of Economic Literature, American Economic Association, vol. 34(2), pages 669-700, June.
  2. Kandori, M. & Mailath, G.J., 1991. "Learning, Mutation, And Long Run Equilibria In Games," Papers 71, Princeton, Woodrow Wilson School - John M. Olin Program.
  3. Simon P. Anderson & Jacob K. Goeree & Charles A. Holt, 1998. "Rent Seeking with Bounded Rationality: An Analysis of the All-Pay Auction," Journal of Political Economy, University of Chicago Press, vol. 106(4), pages 828-853, August.
  4. CHEN, Hsiao-Ch. & FRIEDMAN, J.W. & THISSE, Jacques-Francois, 1996. "Boundedly Rational Nash Equilibrium: A Probabilistic Choice Approach," CORE Discussion Papers 1996044, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
  5. Young, H Peyton, 1993. "The Evolution of Conventions," Econometrica, Econometric Society, vol. 61(1), pages 57-84, January.
  6. Simon P. Anderson & Jacob K. Goeree & Charles A. Holt, 1999. "Stochastic Game Theory: Adjustment to Equilibrium Under Noisy Directional Learning," Virginia Economics Online Papers 327, University of Virginia, Department of Economics.
  7. Richard Mckelvey & Thomas Palfrey, 1998. "Quantal Response Equilibria for Extensive Form Games," Experimental Economics, Springer, vol. 1(1), pages 9-41, June.
  8. Fudenberg, D. & Harris, C., 1992. "Evolutionary dynamics with aggregate shocks," Journal of Economic Theory, Elsevier, vol. 57(2), pages 420-441, August.
  9. McKelvey Richard D. & Palfrey Thomas R., 1995. "Quantal Response Equilibria for Normal Form Games," Games and Economic Behavior, Elsevier, vol. 10(1), pages 6-38, July.
  10. Offerman, Theo & Schram, Arthur & Sonnemans, Joep, 1998. "Quantal response models in step-level public good games," European Journal of Political Economy, Elsevier, vol. 14(1), pages 89-100, February.
  11. Anderson, Simon P. & Goeree, Jacob K. & Holt, Charles A., 2001. "Minimum-Effort Coordination Games: Stochastic Potential and Logit Equilibrium," Games and Economic Behavior, Elsevier, vol. 34(2), pages 177-199, February.
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Cited by:
  1. Suren Basov & Liam Blanckenberg & Lata Gangadharan, 2007. "Behavioural Anomalies, Bounded Rationality and Simple Heuristics," Department of Economics - Working Papers Series 1012, The University of Melbourne.
  2. Grant, Simon & Quiggin, John, 2012. "Bounded Awareness, Heuristics and the Precautionary Principle," Risk and Sustainable Management Group Working Papers 151203, University of Queensland, School of Economics.
  3. Suren Basov, 2003. "Quantal Response Equilibrium with Non-Monotone Probabilities: A Dynamic Approach," Department of Economics - Working Papers Series 880, The University of Melbourne.
  4. Eran Binenbaum, 2005. "Towards a Relational Economics," School of Economics Working Papers 2005-04, University of Adelaide, School of Economics.
  5. Eran Binenbaum, 2005. "Towards a Relational Economics: Methodological Comments on Intellectual Property Strategy, Industrial Organisation, and Economics," Method and Hist of Econ Thought 0502001, EconWPA.

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