Reference : Urban social structure, social capital and spatial proximity
E-prints/Working papers : Already available on another site
Business & economic sciences : International economics
http://hdl.handle.net/10993/25335
Urban social structure, social capital and spatial proximity
English
Patacchini, Eleonora [Cornell University]
Picard, Pierre M mailto [University of Luxembourg > Faculty of Law, Economics and Finance (FDEF) > Center for Research in Economic Analysis (CREA) >]
Zenou, Yves [Monash University > Department of Economics, Monash Business School]
Mar-2015
No
[en] Bayesian estimation ; endogenous network formation ; geographical space ; Social interactions ; social space
[en] 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.
http://hdl.handle.net/10993/25335
http://cepr.org/active/publications/discussion_papers/dp.php?dpno=10501#

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