G2TT
来源类型Discussion paper
规范类型论文
来源IDDP10501
DP10501 Urban Social Structure, Social Capital and Spatial Proximity
Yves Zenou; Pierre Picard; Eleonora Patacchini
发表日期2015-03-22
出版年2015
语种英语
摘要We develop a theoretical model where the existence and intensity of dyadic contacts depend on location. We show that agents tend to interact more with agents that are highly central in the network of social contacts and that are geographically closer. Using a unique geo-coded dataset of friendship networks in the United States, we find evidence consistent with this model. The main empirical challenge, which is the possible endogenous network formation, is tackled by employing a Bayesian methodology that allows to estimate simultaneously network formation and intensity of network contacts.
主题Public Economics
关键词Bayesian estimation Endogenous network formation Geographical space Social interactions Social space
URLhttps://cepr.org/publications/dp10501
来源智库Centre for Economic Policy Research (United Kingdom)
资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/539332
推荐引用方式
GB/T 7714
Yves Zenou,Pierre Picard,Eleonora Patacchini. DP10501 Urban Social Structure, Social Capital and Spatial Proximity. 2015.
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