Y
Yves Zenou
Researcher at Monash University
Publications - 442
Citations - 17814
Yves Zenou is an academic researcher from Monash University. The author has contributed to research in topics: Unemployment & Interpersonal ties. The author has an hindex of 69, co-authored 432 publications receiving 16226 citations. Previous affiliations of Yves Zenou include Stockholm University & Pantheon-Assas University.
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Who's Who in Networks: Wanted - The Key Player
TL;DR: In this paper, the authors show that the Nash equilibrium action of each player is proportional to her Bonacich centrality in the network of local complementarities, thus establishing a bridge with the sociology literature on social networks.
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Why is central Paris rich and downtown Detroit poor?: An amenity-based theory
TL;DR: In this paper, the relative location of different income groups depends on the spatial pattern of amenities in a city, and when the center has a strong amenity advantage over the suburbs, the rich are likely to live at central locations.
Journal ArticleDOI
Who's who in networks. Wanted: the key player
TL;DR: In this paper, the authors show that the Nash equilibrium action of each player is proportional to her Bonacich centrality in the network of local complementarities, thus establishing a bridge with the sociology literature on social networks.
Journal ArticleDOI
Peer Effects and Social Networks in Education
TL;DR: In this article, structural properties of friendship networks affect individual outcomes in education, and the authors developed a model that shows that, at the Nash equilibrium, the outcome of each individual embedded in a network is proportional to her Katz-Bonacich centrality measure.
Posted ContentDOI
Peer Effects and Social Networks in Education
Antoni Calvó-Armengol,Antoni Calvó-Armengol,Eleonora Patacchini,Eleonora Patacchini,Yves Zenou +4 more
TL;DR: In this article, the structural properties of friendship networks affect individual outcomes in education and the authors developed a model that shows that the outcome of each individual embedded in a network is proportional to her Katz-Bonacich centrality measure.