THE KNOWLEDGE PRODUCTION FUNCTION FOR UNIVERSITY PATENTING
使用负二项模型估计大学专利化的知识生产函数，发现博士生和博士后数量与专利数量正相关，且贡献受国籍和签证状态影响。
We estimate a knowledge production function for university patenting using an individual effects negative binomial model. We control for Research and Development expenditures, research field, and the presence of a Technology Transfer Office. We distinguish between three kinds of researchers: faculty, postdoctoral scholars (postdocs), and PhD students. For the latter two, we also distinguish by visa status. We find patent counts to relate positively and significantly to the number of PhD students and number of postdocs. Our results also suggest that not all graduate students and postdocs contribute equally to patenting but that contribution is mediated by citizenship and visa status.