Behavioral Influence
在随机选择背景下，提出一个个体决策模型，引入同伴影响的基数概念，证明均衡唯一、稳定且可证伪，并从有限数据中识别偏好、影响参数和网络结构。
Abstract In the context of stochastic choice, we introduce an individual decision model that admits a cardinal notion of peer influence. The model presumes that individual choice is not only determined by idiosyncratic evaluations of alternatives but also by the influence of the observed behavior of others. We establish that the equilibrium defined by the model is unique, stable, and falsifiable. Moreover, the underlying preferences and influence parameters as well as the structure of the underlying network are uniquely identified from, arguably, limited data. The baseline model includes two individuals with conformity motives. Generalizations to multi-individual settings and negative interactions are also introduced and analyzed.