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The Knowledge Production Function For University Patenting

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  • SHIFERAW GURMU
  • GRANT C. BLACK
  • PAULA E. STEPHAN

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." (JEL C25, O31, O32, O34, O38) Copyright (c) 2008 Western Economic Association International.

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Bibliographic Info

Article provided by Western Economic Association International in its journal Economic Inquiry.

Volume (Year): 48 (2010)
Issue (Month): 1 (01)
Pages: 192-213

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Handle: RePEc:bla:ecinqu:v:48:y:2010:i:1:p:192-213

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Cited by:
  1. Paula E. Stephan, 2010. "The “I’s” Have It: Immigration and Innovation, the Perspective from Academe," NBER Chapters, in: Innovation Policy and the Economy, Volume 10, pages 83-127 National Bureau of Economic Research, Inc.
  2. Kathleen Carroll & Lisa M. Dickson & Jane E. Ruseski, 2013. "Do Faculty Matter? Effects of Faculty Participation in University Decisions," UMBC Economics Department Working Papers 13-06, UMBC Department of Economics.
  3. Olivier Brossard & Inès Moussa, 2014. "The French cluster policy put to the test with differences-in-differences estimates," Economics Bulletin, AccessEcon, vol. 34(1), pages 520-529.
  4. Julien Pénin, 2009. "On the consequences of university patenting: What can we learn by asking directly to academic inventors?," Working Papers of BETA 2009-04, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.

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