Learning by observing
AbstractWe introduce a network formation model based on the idea that individuals engage in production (or decide to participate in an action) depending on the similar actions of the people they observe in a society. We differentiate from the classical models of participation by letting individuals to choose, non cooperatively, which agents to observe. Observing behavior of others is a costly activity but provides benefits in terms of reduction in cost of production for the observing agent, which we take it as learning. In this non cooperative setting we provide complete characterization of both Nash stable and socially efficient network configurations. We show that every society can admit a stable network. Moreover, typically there will be multiple stable configurations that will be available for a society. While all stable networks will not be efficient we show that every efficient network will be stable.
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Bibliographic InfoPaper provided by Izmir University of Economics in its series Working Papers with number 1007.
Length: 18 pages
Date of creation: Nov 2010
Date of revision:
Networks; Network formation; Self organization; Stable networks; Nash networks; Participation Games; Learning;
Find related papers by JEL classification:
- D03 - Microeconomics - - General - - - Behavioral Economics; Underlying Principles
- D85 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Network Formation
This paper has been announced in the following NEP Reports:
- NEP-ALL-2011-02-26 (All new papers)
- NEP-NET-2011-02-26 (Network Economics)
- NEP-SOC-2011-02-26 (Social Norms & Social Capital)
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Beck, Gunter W. & Wieland, Volker, 2002. "Learning and control in a changing economic environment," Journal of Economic Dynamics and Control, Elsevier, vol. 26(9-10), pages 1359-1377, August.
- Bala, Venkatesh & Goyal, Sanjeev, 1998. "Learning from Neighbours," Review of Economic Studies, Wiley Blackwell, vol. 65(3), pages 595-621, July.
- Vallée, Thomas & YIldIzoglu, Murat, 2009.
"Convergence in the finite Cournot oligopoly with social and individual learning,"
Journal of Economic Behavior & Organization,
Elsevier, vol. 72(2), pages 670-690, November.
- Thomas Vallée & Murat Yildizoglu, 2009. "Convergence in the Finite Cournot Oligopoly with Social and Individual Learning," Working Papers halshs-00368274, HAL.
- Epstein, Joshua M, 2001. "Learning to Be Thoughtless: Social Norms and Individual Computation," Computational Economics, Society for Computational Economics, vol. 18(1), pages 9-24, August.
- Hanaki, Nobuyuki & Ishikawa, Ryuichiro & Akiyama, Eizo, 2009. "Learning games," Journal of Economic Dynamics and Control, Elsevier, vol. 33(10), pages 1739-1756, October.
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