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A Computational Algorithm for Optimal Collusion in Dynamic Cournot Oligopoly

dc.contributor.authorRoth, Daviden_US
dc.date.accessioned2013-11-14T23:22:11Z
dc.date.available2013-11-14T23:22:11Z
dc.date.issued1992-12en_US
dc.identifier.otherMichU DeptE CenREST W93-11en_US
dc.identifier.otherD430en_US
dc.identifier.otherL130en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/100932
dc.description.abstractRecent work in oligopoly theory has focused on the optimal degree of tacit collusion sustainable in a dynamic oligopoly. Such analysis for price-setting oligopoly has advanced substantially; however, analysis of Cournot oligopoly has not proceeded apace. this paper analyzes best and worst strongly symmetric equilibria for dynamic quantity-setting oligopoly with demand dynamics, such as business cycles, that are independent of previous quantity choices. Two primary results are obtained. First, the paper shows through construction that best and worst strongly symmetric equilibria exist, and that the worst equilibria may be constructed, as in Abreu (1983, 1986), so that they prescribe optimal equilibrium play from periods 2 onward. That is, they have a stick-and-carrot structure. Second, it provides a simple algorithm for the computation of the extremal equilibria.en_US
dc.description.sponsorshipCenter for Research on Economic and Social Theory, Department of Economics, University of Michiganen_US
dc.relation.ispartofseriesWorking Paperen_US
dc.subjectDynamic Oligopolyen_US
dc.subjectCournot Ogligopolyen_US
dc.subjectPrice-settingen_US
dc.subject.otherMarket Structure and Pricing: Oligopoly and Other Forms of Market Imperfectionen_US
dc.subject.otherOligopoly and Other Imperfect Marketsen_US
dc.titleA Computational Algorithm for Optimal Collusion in Dynamic Cournot Oligopolyen_US
dc.typeWorking Paperen_US
dc.subject.hlbsecondlevelEconomicsen_US
dc.subject.hlbtoplevelSocial Sciencesen_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/100932/1/ECON379.pdf
dc.owningcollnameEconomics, Department of - Working Papers Series


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