SOCIAL NETWORKS AND RESEARCH OUTPUT

• 成果类型: Article
• 署名作者: Ductor, Lorenzo; Fafchamps, Marcel; Goyal, Sanjeev; van der Leij, Marco J.
• 署名单位: Massey University; University of Oxford; University of Oxford; University of Cambridge; University of Cambridge; University of Amsterdam; European Central Bank; De Nederlandsche Bank NV; Tinbergen Institute
• 刊物名称: REVIEW OF ECONOMICS AND STATISTICS
• ISSN/ISSBN: 0034-6535
• DOI: 10.1162/REST_a_00430
• 发表日期: 2014-12
• 页码: 936-948
• 关键词: identification; consumption; MODEL

摘要

We study how knowledge about the social network of an individual researcher, as embodied in his coauthor relations, helps us in developing a more accurate prediction of his or her future productivity. We find that incorporating information about coauthor networks leads to a modest improvement in the accuracy of forecasts on individual output, over and above what we can predict based on the knowledge of past individual output. Second, we find that the informativeness of networks dissipates over the lifetime of a researcher's career. This suggests that the signaling content of the network is quantitatively more important than the flow of ideas.