MATCHING AND NETWORK EFFECTS

Marcel Fafchamps

doi:10.1162/jeea.2010.8.1.203

MATCHING AND NETWORK EFFECTS

2010-03-01

85

OA

AI

DOI：10.1162/jeea.2010.8.1.203

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The matching of individuals in teams is a key element in the functioning of an economy. The network of social ties can potentially transmit important information on abilities and reputations and also help mitigate matching frictions by facilitating interactions among screened individuals. We conjecture that the probability of two individuals forming a team falls in the distance between the two individuals in the network of existing social ties. The objective of this paper is to empirically test this conjecture. We examine the formation of coauthor relations among economists over a twenty-year period. Our principal finding is that a new collaboration emerges faster among two researchers if they are closer in the existing coauthor network among economists. This proximity effect on collaboration is strong: Being at a network distance of 2 instead of 3, for instance, raises the probability of initiating a collaboration by 27%. (JEL: C78, D83, D85)

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MATCHING AND NETWORK EFFECTS

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