WHO'S PATENTING IN THE UNIVERSITY? EVIDENCE FROM THE SURVEY OF DOCTORATE RECIPIENTS
Paula Stephan,
Shiferaw Gurmu,
Albert Sumell and
Grant Black
Economics of Innovation and New Technology, 2007, vol. 16, issue 2, 71-99
Abstract:
We use the Survey of Doctorate Recipients to examine the question of who in US universities is patenting. Because standard methods of estimation are not directly applicable, we use a zero-inflated negative binomial model to estimate the patent equation, using instruments for the number of articles to avoid problems of endogeneity. We also estimate the patent model using the generalized method of moments estimation of count data models with endogenous regressors. We find work context and field to be important predictors of the number of patent applications. We also find patents to be positively and significantly related to the number of publications. This finding is robust to the choice of instruments and method of estimation. The cross-sectional nature of the data preclude an examination of whether a trade-off exists between publishing and patenting, holding individual characteristics constant over time. But the strong cross-sectional correlation that we find does not suggest that commercialization has come at the expense of placing knowledge in the public domain.
Keywords: Academic research productivity; Patenting; Publishing; Technology transfer; Count data models; Bayh-Dole Act (search for similar items in EconPapers)
Date: 2007
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (111)
Downloads: (external link)
http://www.tandfonline.com/doi/abs/10.1080/10438590600982806 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:ecinnt:v:16:y:2007:i:2:p:71-99
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/GEIN20
DOI: 10.1080/10438590600982806
Access Statistics for this article
Economics of Innovation and New Technology is currently edited by Professor Cristiano Antonelli
More articles in Economics of Innovation and New Technology from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().