Essays on the Economics of Networks Under Incomplete Information


Autoria(s): Rapanos, Theodoros
Data(s)

2016

Resumo

Social networks constitute a major channel for the diffusion of information and the formation of attitudes in a society. Introducing a dynamic model of social learning, the first part of this thesis studies the emergence of socially influential individuals and groups, and identifies the characteristics that make them influential. The second part uses a Bayesian network game to analyse the role of social interaction and conformism in the making of decisions whose returns or costs are ex ante uncertain.

Formato

application/pdf

Identificador

http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-132199

urn:isbn:978-91-7649-468-4

Idioma(s)

eng

Publicador

Stockholms universitet, Nationalekonomiska institutionen

Stockholm : Department of Economics, Stockholm University

Relação

Dissertations in Economics, 1404-3491 ; 2016:1

Direitos

info:eu-repo/semantics/openAccess

Palavras-Chave #social networks #social learning #social influence #incomplete information #Bayesian game
Tipo

Doctoral thesis, monograph

info:eu-repo/semantics/doctoralThesis

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