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 unobserved 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.

中文翻译：

---

网络和行为协同进化的结构模型

本文介绍了网络和行为协同进化的结构模型。我们刻画了底层博弈的均衡，并采用贝叶斯双都市黑斯廷斯算法来估计模型。我们进一步扩展模型以纳入未观察到的异质性，并表明忽略未观察到的异质性会导致模拟实验中的估计有偏差。我们应用该模型研究化学和制药行业的研发投资和合作决策，并发现了积极的知识溢出效应。我们的模型还为长期关键参与者分析提供了一个易于处理的框架。