Network Games with Triadic Interactions: Model Specification and Estimation
报告人: 史炜(暨南大学)
时间:2023-12-28 15:10-17:00
地点:Room 217, Guanghua Building 2
Abstract:
This study proposes a nonlinear network-mediated interaction model with both direct pairwise and triadic interactions to examine how social context affects pairwise interactions. The marginal utility of an action depends on the endogenous interactions among multiple units. We provide conditions for a unique Nash equilibrium using variational inequalities techniques. Parameters are estimated via the maximum likelihood method, and we show that the estimator is consistent and asymptotically normal. Applying the model to data from primary schools in China, we find that a teamwork experiment can affect the interactions between different layers of social network.
About the Speaker:
史炜,暨南大学经济与社会研究院副教授,博士生导师,美国俄亥俄州立大学经济学博士。主要研究领域为微观计量经济学。研究议题涉及空间计量模型、网络数据分析等计量方法的理论与应用研究,健康的社会环境决定因素,住房市场结构与房价波动,城市空间结构,房贷的风险分析等。研究成果发表于International Economic Review, Journal of Econometrics, Journal of Urban Economics, Journal of Population Economics, China Economic Review等国际权威期刊。论文获得2021年度Journal of Population Economics最佳论文奖。主持2项国家自然科学基金项目和1项教育部人文社会科学青年基金项目。
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