Network Games With Triadic Interactions
提出一个包含三元交互等高阶关系的网络博弈模型，用最大似然估计参数，并应用于中国小学团队实验，发现外部队友的同伴效应受已有友谊网络影响，团队干预增强态度影响但减少学业竞争。
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.