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.
%0 Journal Article
%1 Gurmu2010
%A Gurmu, Shiferaw
%A Black, Grant C.
%A Stephan, Paula E.
%D 2010
%J Economic Inquiry
%K CAREER SCIENCE,USA,UniversityPerformance STAGE,FOREIGN-BORN,US
%N 1
%P 192--213
%R 10.1111/j.1465-7295.2008.00172.x
%T The Knowledge Production Function for University Patenting
%U http://doi.wiley.com/10.1111/j.1465-7295.2008.00172.x
%V 48
%X 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.
@article{Gurmu2010,
abstract = {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.},
added-at = {2012-02-27T06:11:36.000+0100},
author = {Gurmu, Shiferaw and Black, Grant C. and Stephan, Paula E.},
biburl = {https://www.bibsonomy.org/bibtex/2eed1462d0864b6a93b89b33b753b129a/kamil205},
doi = {10.1111/j.1465-7295.2008.00172.x},
file = {:Users/Miguel/Dropbox/Escola/Artigos/Gurmu, Black, Stephan\_2010\_The Knowledge Production Function for University Patenting.pdf:pdf},
interhash = {4247a542a9ebf5b3270392d5644414c8},
intrahash = {eed1462d0864b6a93b89b33b753b129a},
issn = {00952583},
journal = {Economic Inquiry},
keywords = {CAREER SCIENCE,USA,UniversityPerformance STAGE,FOREIGN-BORN,US},
mendeley-tags = {USA,UniversityPerformance},
month = jan,
number = 1,
pages = {192--213},
timestamp = {2012-02-27T06:12:06.000+0100},
title = {{The Knowledge Production Function for University Patenting}},
url = {http://doi.wiley.com/10.1111/j.1465-7295.2008.00172.x},
volume = 48,
year = 2010
}