A Structural Model for the Coevolution of Networks and Behavior
提出了一个网络与行为共同演化的结构模型，用贝叶斯算法估计，发现化工制药行业研发合作中存在正向知识溢出效应，并可用于长期关键参与者分析。
Abstract This paper introduces a structural model for the coevolution of networks and behavior. We characterize the equilibrium of the underlying game and adopt the Bayesian Double Metropolis-Hastings algorithm to estimate the model. We further extend the model to incorporate unobserved heterogeneity and show that ignoring this heterogeneity can lead to biased estimates in simulation experiments. We apply the model to study R&D investment and collaboration decisions in the chemical and pharmaceutical industry and find a positive knowledge spillover effect. Our model also provides a tractable framework for a long-run key player analysis.