EconPapers    
Economics at your fingertips  
 

The Use of a Simple Decision Rule in Repeated Oligopoly Games

Jan Edman

No 320, Computing in Economics and Finance 2004 from Society for Computational Economics

Abstract: The Use of a Simple Decision Rule in Repeated Oligopoly Games Much interest has been directed towards decision rules and conditions when firms make decisions converging to a non-cooperative Nash equilibrium in repeated oligopoly games. We explore the use of a simple decision rule where firms only need to have information about their own profits from the two previous periods. The principle of the decision rule is to choose a decision within a boundary of the decision that gave the highest profit in the two previous periods of the game. Simulations using the decision rule with different boundaries for both sequential and simultaneous decisions in the games are analyzed. Furthermore, experiments with a Cournot game, where five firms make decisions simultaneously, show that by using the rule firms with only information about their own profits make decisions similar to firms who also have information about market demand and competitors. In conclusion, the simple decision rule can be used to compute optimal decisions and the rule can also be used as a benchmark for decisions made in repeated oligopoly games.

Keywords: repeated oligopoly games; decision rules; private information; simulation; experiment (search for similar items in EconPapers)
JEL-codes: C15 C72 C91 D82 (search for similar items in EconPapers)
Date: 2004-08-11
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:sce:scecf4:320

Access Statistics for this paper

More papers in Computing in Economics and Finance 2004 from Society for Computational Economics Contact information at EDIRC.
Bibliographic data for series maintained by Christopher F. Baum ().

 
Page updated 2025-03-20
Handle: RePEc:sce:scecf4:320