Identification of social effects through variations in network structures

Ryota Ishikawa ()
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Ryota Ishikawa: Graduate School of Economics, Waseda University

No 2509, Working Papers from Waseda University, Faculty of Political Science and Economics

Abstract: Bramoull´e et al. (2009) provided identification conditions for linear social interaction models through network structures. Despite the importance of their results, the authors omitted detailed mathematical discussions. Moreover, they consider cases where many identical networks are observed simultaneously within the same dataset. In reality, multiple networks with different structures, such as classrooms or villages, are repeatedly observed within the same dataset. The purpose of this paper is to fill in the mathematical gaps in their arguments and to establish identification conditions for networks with different structures. In addition, we find the smallest network size as a necessary condition for identifying social effects. We also discuss the identification conditions of network models with a fixed network effect.

Keywords: identification; network model; social interactions; network size (search for similar items in EconPapers)
JEL-codes: C31 D85 (search for similar items in EconPapers)
Pages: 26 pages
Date: 2025-05
New Economics Papers: this item is included in nep-ecm and nep-net
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