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Interaction and Markets

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Author Info

  • Kirman, A.

Abstract

The state in which economic agents find themselves depends on the states of the other individuals in the economy. This dependance may be direct or indirect and involves the network through which agents interact. This paperdescribes models which lie between two polar extremes. On the one hand th ere is the Walrasian model in which individuals react independently to central price signals and are only linked to each other through those signals. On the other hand there is the full blown game theoretic approach in which all individuals interact with each other and are aware of this.

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Bibliographic Info

Paper provided by Universite Aix-Marseille III in its series G.R.E.Q.A.M. with number 97a02.

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Length: 69 pages
Date of creation: 1997
Date of revision:
Handle: RePEc:fth:aixmeq:97a02

Contact details of provider:
Postal: G.R.E.Q.A.M., (GROUPE DE RECHERCHE EN ECONOMIE QUANTITATIVE D'AIX MARSEILLE), CENTRE DE VIEILLE CHARITE, 2 RUE DE LA CHARITE, 13002 MARSEILLE.
Phone: 04.91.14.07.70
Fax: 04.91.90.02.27
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Web page: http://www.greqam.fr/
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Keywords: MARKET; COMMUNICATION;

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Cited by:
  1. Hommes, C.H. & Sonnemans, J. & Tuinstra, J. & Velden, H. van de, 2002. "Learning in Coweb Experiments," CeNDEF Working Papers 02-06, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
  2. Sandro Sapio, 2004. "Markets Design, Bidding Rules, and Long Memory in Electricity Prices," Revue d'Économie Industrielle, Programme National Persée, vol. 107(1), pages 151-170.
  3. Sean Holly & Emiliano Santoro, 2007. "Financial Fragility, Heterogeneous Firms and the Cross Section of the Business Cycle," Money Macro and Finance (MMF) Research Group Conference 2006 96, Money Macro and Finance Research Group.
  4. Hommes, C.H., 2007. "Bounded Rationality and Learning in Complex Markets," CeNDEF Working Papers 07-01, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
  5. repec:hal:cesptp:halshs-00135486 is not listed on IDEAS
  6. Rama CONT & Jean-Philippe BOUCHAUD, 1997. "Herd behavior and aggregate fluctuations in financial markets," Finance 9712008, EconWPA, revised 30 Dec 1997.
  7. Jean-Benoît Zimmermann & Alexandre Steyer, 1998. "Étude empirique de l'influence sociale dans les phénomènes de diffusion : l'exemple du câble et du fax en France," Économie et Prévision, Programme National Persée, vol. 135(4), pages 109-119.
  8. Domenico Colucci & Vincenzo Valori, 2004. "Generalised Fading Memory Learning in a Cobweb Model: some evidence," Computing in Economics and Finance 2004 272, Society for Computational Economics.
  9. Olivier Guedj & Jean-Philippe Bouchaud, 2004. "Experts' earning forecasts: bias, herding and gossamer information," Science & Finance (CFM) working paper archive 500062, Science & Finance, Capital Fund Management.
  10. Rama Cont & Jean-Philippe Bouchaud, 1997. "Herd behavior and aggregate fluctuations in financial markets," Science & Finance (CFM) working paper archive 500028, Science & Finance, Capital Fund Management.
  11. repec:hal:wpaper:halshs-00135486 is not listed on IDEAS
  12. Assenza, T. & Delli Gatti, D. & Gallegati, M., 2007. "Heterogeneity and Aggregation in a Financial Accelerator Model," CeNDEF Working Papers 07-13, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
  13. Jaime Lozano, 1999. "Economía institucional y ciencia económica," Revista de Economía Institucional, Universidad Externado de Colombia - Facultad de Economía, vol. 1(1), pages 99-128, July-dece.

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