Learning in Cournot Oligopoly - An Experiment
AbstractThis experiment was designed to test various learning theories in the context of a Cournot oligopoly. We derive theoretical predictions for the learning theories and test these predictions by varying the information given to subjects. The results show that some subjects imitate successful behavior if they have the necessary information, and if they imitate, markets are more competitive. Other subjects follow a best reply process. On the aggregate level we find that more information about demand and cost conditions yields less competitive behavior, while more information about the quantities and profits of other firms yields more competitive behavior.
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Bibliographic InfoPaper provided by EconWPA in its series Game Theory and Information with number 9707009.
Length: 38 pages
Date of creation: 18 Jul 1997
Date of revision: 22 Jul 1997
Note: Type of Document - ; pages: 38 ; figures: included
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Web page: http://184.108.40.206
learning; Cournot oligopoly; experiments; imitation; best; reply process;
Other versions of this item:
- L13 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Oligopoly and Other Imperfect Markets
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.:
- Edward J Green & Robert H Porter, 1997.
"Noncooperative Collusion Under Imperfect Price Information,"
Levine's Working Paper Archive
1147, David K. Levine.
- Green, Edward J & Porter, Robert H, 1984. "Noncooperative Collusion under Imperfect Price Information," Econometrica, Econometric Society, vol. 52(1), pages 87-100, January.
- Green, Edward J. & Porter, Robert H., 1982. "Noncooperative Collusion Under Imperfect Price Information," Working Papers 367, California Institute of Technology, Division of the Humanities and Social Sciences.
- Abbink, Klaus & Abdolkarim Sadrieh, 1995. "RatImage - research Assistance Toolbox for Computer-Aided Human Behavior Experiments," Discussion Paper Serie B 325, University of Bonn, Germany.
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