报告题目：A Structural Network Formation Model and Its Application in R&D Networks
主讲嘉宾：刘晓冬，科罗拉多大学博尔德分校经济系教授，俄亥俄州立大学经济学博士，国际空间计量经济学协会会士。他目前的研究兴趣聚焦于空间或社交网络互动模型的估计方法，以及经济博弈模型的结构估计方法。刘教授的学术成果发表在众多顶级学术期刊，包括The Review of Economics and Statistics, Journal of Econometrics, Econometric Theory, Journal of Business & Economic Statistics, Journal of Applied Econometrics, and Journal of Economic Behavior & Organization等。
报告摘要：We introduce a stochastic R&D network formation model where firms choose both R&D efforts and their collaboration partners. Neighbors in the network benefit from each other’s effort levels through local technology spillovers, and there exists a global competition effect reflecting a strategic substitutability in efforts. We provide a complete equilibrium characterization in the form of a Gibbs measure, and show that the model is consistent with empirically observed R&D networks. We then use our equilibrium characterization to show that the model can be conveniently estimated even for large networks. The policy relevance is demonstrated with the analysis of subsidies to R&D collaboration costs.
报告时间：2022年9月27日（周二），10:00-11:30
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