Network Games With Triadic Interactions

ABSTRACT We propose a model for network‐mediated interactions incorporating higher‐order relationships such as triadic interactions. The marginal utility of an individual's action depends explicitly on endogenous actions of multiple units. Conditions ensuring a unique Nash equilibrium are derived using a variational inequality approach. We estimate the model parameters via maximum likelihood and derive their large sample properties. Applying our model to data from a primary school teamwork experiment in China, we find that the peer effects associated with externally assigned teammates vary depending on preexisting friendship networks. The teamwork intervention enhances peer influence on attitudes while diminishing academic competition among students.

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Publication Details

Journal
International Economic Review
Published
2025-12-05
DOI
https://doi.org/10.1111/iere.70043
Primary Topic
Game Theory and Applications
Type
article
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article

Network Games With Triadic Interactions

Wei Shi, Pei Yu, Chunchao Wang
International Economic Review
Game Theory and Applications
article

Network Games With Triadic Interactions

Wei Shi, Pei Yu, Chunchao Wang
article en

Abstract

ABSTRACT We propose a model for network‐mediated interactions incorporating higher‐order relationships such as triadic interactions. The marginal utility of an individual's action depends explicitly on endogenous actions of multiple units. Conditions ensuring a unique Nash equilibrium are derived using a variational inequality approach. We estimate the model parameters via maximum likelihood and derive their large sample properties. Applying our model to data from a primary school teamwork experiment in China, we find that the peer effects associated with externally assigned teammates vary depending on preexisting friendship networks. The teamwork intervention enhances peer influence on attitudes while diminishing academic competition among students.

International Economic Review
Jinan University (CN), South China Normal University (CN), Rice University (US)
Openalex Percentile: Top 56%
Game Theory and Applications
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