Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/8926
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dc.contributor.authorEkici, Özgün-
dc.contributor.authorÇaşkurlu, Buğra-
dc.date.accessioned2022-11-30T19:23:56Z-
dc.date.available2022-11-30T19:23:56Z-
dc.date.issued2022-
dc.identifier.issn2619-9491-
dc.identifier.urihttps://doi.org/10.20409/berj.2022.358-
dc.identifier.urihttps://search.trdizin.gov.tr/yayin/detay/533684-
dc.identifier.urihttps://hdl.handle.net/20.500.11851/8926-
dc.description.abstractThis paper introduces the location choice under spillovers game: A number of firms choose from among a number of alternative locations. A firm’s payoff at some location is the sum of two factors: Its location-specific idiosyncratic payoff; and the positive spillover it receives, which is a function of the number of firms choosing the same location. The spillover function is location-specific and monotonically increasing. This game form can be viewed as an extension of the classic “battle of sexes” game. It can also be used to model real-life game-theoretic situations with network effects, such as when app users choose from alternative social media or instant messaging apps. In our main result, we show that the location choice under spillovers game is a potential game, and hence, it always admits a Nash equilibrium in pure strategies. We also show that: A Nash equilibrium outcome need not be Pareto efficient. An outcome that is Pareto efficient need not be a Nash equilibrium. And a Nash equilibrium is not necessarily a strong equilibrium.en_US
dc.language.isoenen_US
dc.relation.ispartofBusiness and Economics Research Journalen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.titleLocation Choice under Spilloversen_US
dc.typeArticleen_US
dc.departmentFaculties, Faculty of Engineering, Department of Artificial Intelligence Engineeringen_US
dc.identifier.volume13en_US
dc.identifier.issue1en_US
dc.identifier.startpage1en_US
dc.identifier.endpage9en_US
dc.institutionauthorÇaskurlu, Bugra-
dc.identifier.doi10.20409/berj.2022.358-
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.identifier.trdizinid533684en_US
dc.ozel2022v3_Editen_US
item.openairetypeArticle-
item.languageiso639-1en-
item.grantfulltextopen-
item.fulltextWith Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
crisitem.author.dept02.1. Department of Artificial Intelligence Engineering-
Appears in Collections:TR Dizin İndeksli Yayınlar / TR Dizin Indexed Publications Collection
Yapay Zeka Mühendisliği Bölümü / Department of Artificial Intelligence Engineering
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