Temporally Networked Cournot Platform Markets

dc.contributor.authorPang, John
dc.contributor.authorYou, Pengcheng
dc.contributor.authorChen, Minghua
dc.date.accessioned2017-12-28T01:51:56Z
dc.date.available2017-12-28T01:51:56Z
dc.date.issued2018-01-03
dc.description.abstractIn networked markets, information can help firms make better decisions on which market (platform), and how much, to participate. However, these markets may be temporally separated, e.g., independent system operators in different geographical locations. We model these via networked Cournot markets, but instead consider the participation of one firm to either be with the realization (or full information) of a random market, or only with the statistics of the random market, modeled by an additive zero-mean random variable on the maximal price. We show that firms not knowing the realization of the random variable would participate in both markets in the same way as if the mean was realized. We then present global effects: we prove that profit is improved for every firm when one's information improves but social welfare may get better or worst with more information.
dc.format.extent10 pages
dc.identifier.doi10.24251/HICSS.2018.435
dc.identifier.isbn978-0-9981331-1-9
dc.identifier.urihttp://hdl.handle.net/10125/50323
dc.language.isoeng
dc.relation.ispartofProceedings of the 51st Hawaii International Conference on System Sciences
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectCrowd-based Platforms
dc.subjectPlatform Economy, Networked Cournot Markets, Networked Economics, Temporally Connected Markets
dc.titleTemporally Networked Cournot Platform Markets
dc.typeConference Paper
dc.type.dcmiText

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