Search results for "jel:D85"

showing 4 items of 4 documents

How individual characteristics shape the structure of social networks

2015

Abstract We study how students’ social networks emerge by documenting systematic patterns in the process of friendship formation of incoming students; these students all start out in a new environment and thus jointly create a new social network. As a specific novelty, we consider cooperativeness, time and risk preferences – elicited experimentally – together with factors like socioeconomic and personality characteristics. We find a number of robust predictors of link formation and of the position within the social network (local and global network centrality). In particular, cooperativeness has a complex association with link formation. We also find evidence for homophily along several dim…

Organizational Behavior and Human Resource ManagementEconomics and Econometricsjel:C93Social networkbusiness.industrymedia_common.quotation_subjectjel:D85CooperativenessNoveltyHomophilyjel:I25jel:J24FriendshipSocial networks education link formation homophily cooperation field and lab dataGlobal networkPersonalityPsychologybusinessCentralitySocial psychologymedia_common
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Conflict and segregation in networks: An experiment on the interplay between individual preferences and social influence

2016

We examine the interplay between a person's individual preference and the social influence others exert. We provide a model of network relationships with conflicting preferences, where individuals are better off coordinating with those around them, but where not all have a preference for the same action. We test our model in an experiment, varying the level of conflicting preferences between individuals. Our findings suggest that preferences are more salient than social influence, under conflicting preferences: subjects relate mainly with others who have the same preferences. This leads to two undesirable outcomes: network segregation and social inefficiency. The same force that helps peopl…

Statistics and Probability0209 industrial biotechnology021103 operations researchApplied Mathematicsjel:D85jel:C72jel:D820211 other engineering and technologiesjel:C6202 engineering and technologyEconomiaHeterogeneity Social Networks Formation Equilibrium selectionPreferenceTest (assessment)020901 industrial engineering & automationAction (philosophy)SalientEquilibrium selectionModeling and SimulationEconomicsInefficiencySocial psychologySocial influenceJournal of Dynamics and Games
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Heterogeneous network games: Conflicting preferences

2013

Proceeding at: 2nd Annual UECE Lisbon Meeting: Game Theory and Applications, took place 2010, November, 4-6, in Lisbon (Portugal). The event Web site http://pascal.iseg.utl.pt/~uece/lisbonmeetings2010/ In many economic situations, a player pursues coordination or anti-coordination with her neighbors on a network, but she also has intrinsic preferences among the available options. We here introduce a model which allows to analyze this issue by means of a simple framework in which players endowed with an idiosyncratic identity interact on a social network through strategic complements or substitutes. We classify the possible types of Nash equilibria under complete information, finding two thr…

TheoryofComputation_MISCELLANEOUSComputer Science::Computer Science and Game Theoryjel:Z13Economics and EconometricsMatemáticasjel:D85Heterogeneity Networks Nash Equilibrium StabilitySocial networksjel:D03MicroeconomicsCOMPLEMENTARITIESsymbols.namesakeBayesian gameEconomicsCoordination gameStrategic complementsjel:C72ComputingMilieux_PERSONALCOMPUTINGTheoryofComputation_GENERALNetwork formationNash equilibriumEquilibrium selectionBest responsejel:L14Bayesian equilibriumsymbolsHeterogeneityEpsilon-equilibriumMathematical economicsFinanceIncomplete informationGames and Economic Behavior
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Networks of knowledge among unionized firms

2008

We develop a model of strategic networks in order to analyze how trade unions will affect the stability of R&D networks through which knowledge is transmitted in an oligopolistic industry. Whenever firms settle wages, the partially connected network is likely to emerge in the long run if and only if knowledge spillovers are large enough. However, when unions settle wages, the complete network is the unique stable network. In other words, the stronger the union bargaining power is, the more symmetric stable R&D networks will be. In terms of network efficiency, the partially connected network (when firms settle wages) does not Pareto dominate the complete network (when unions settle wages) an…

jel:C70Economics and Econometricsjel:D85Pareto principleStability (learning theory)jel:J50OligopolyMicroeconomicsjel:L20Bargaining powerOrder (exchange)jel:L13EconomicsIndustrial organizationCanadian Journal of Economics/Revue canadienne d'économique
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