MATCHING AND NETWORK EFFECTS

被引:69
|
作者
Fafchamps, Marcel [1 ]
Goyal, Sanjeev [2 ]
van der Leij, Marco J. [2 ,3 ]
机构
[1] Univ Oxford, Oxford OX1 2JD, England
[2] Univ Cambridge, Cambridge CB2 1TN, England
[3] Univ Alicante, Alicante, Spain
关键词
LABOR-MARKET;
D O I
10.1162/jeea.2010.8.1.203
中图分类号
F [经济];
学科分类号
02 ;
摘要
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)
引用
收藏
页码:203 / 231
页数:29
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