Existence and Optimality of Cournot-Nash Equilibria in a Bilateral Oligopoly with Atoms and an Atomless Part
Francesca Busetto,
Giulio Codognato,
Sayantan Ghosal,
Ludovic Julien () and
Simone Tonin
No 2018-10, EconomiX Working Papers from University of Paris Nanterre, EconomiX
Abstract:
We consider a bilateral oligopoly version of the Shapley window model with large traders, represented as atoms, and small traders, represented by an atomless part. For this model, we provide a general existence proof of a Cournot-Nash equilibrium that allows one of the two commodities to be held only by atoms. Then, we show, using a corollary proved by Shitovitz (1973), that a Cournot-Nash allocation is Pareto optimal if and only if it is a Walras allocation.
Keywords: Shapley window model; Atoms; Atomless part; Cournot–Nash equilibrium; Optimality (search for similar items in EconPapers)
JEL-codes: C72 D51 (search for similar items in EconPapers)
Pages: 24 pages
Date: 2018
New Economics Papers: this item is included in nep-com, nep-gth and nep-mic
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
https://economix.fr/pdf/dt/2018/WP_EcoX_2018-10.pdf (application/pdf)
Related works:
Journal Article: Existence and optimality of Cournot–Nash equilibria in a bilateral oligopoly with atoms and an atomless part (2020)
Working Paper: Existence and optimality of Cournot-Nash equilibria in a bilateral oligopoly with atoms and an atomless part (2020)
Working Paper: Existence and Optimality of Cournot-Nash Equilibria in a Bilateral Oligopoly with Atoms and an Atomless Part (2018)
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:drm:wpaper:2018-10
Access Statistics for this paper
More papers in EconomiX Working Papers from University of Paris Nanterre, EconomiX Contact information at EDIRC.
Bibliographic data for series maintained by Valerie Mignon ( this e-mail address is bad, please contact ).