INNOVATION OUTPUT CHOICES AND CHARACTERISTICS OF FIRMS IN THE U.S
Juana Sanchez ()
Working Papers from U.S. Census Bureau, Center for Economic Studies
This paper uses new business micro data from the Business Research and Development and Innovation Survey (BRDIS) for the years 2008-2011 to relate the discrete innovation choices made by U.S. companies to features of the company that have long been considered to be important correlates of innovation. We use multinomial logit to model those choices. Bloch and Lopez-Bassols (2009) used the Community Innovation Surveys (CIS) to classify companies according dual, technological or output-based innovation constructs. We found that for each of those constructs of innovation combinations considered, manufacturing and engaging in intellectual property transfer increase the odds of choosing innovation strategies that involve more than one type of categories (for example, both goods and services, or both tech and non-tech) and radical innovations, controlling form size, productivity, time and type of R&D. Company size and company productivity as well as time do not lean the choices in any particular direction. These associations are robust across the three multinomial choice models that we have considered. In contrast with other studies, we have been able to use companies that do and companies that do not innovate, and this has allowed to rule out to some extent selectivity bias.
Keywords: Innovation; R&D; productivity; intellectual property; generalized logistic regression; choice models (search for similar items in EconPapers)
JEL-codes: O31 O32 O33 O34 (search for similar items in EconPapers)
Pages: 23 pages
New Economics Papers: this item is included in nep-cse, nep-dcm, nep-eff, nep-ent, nep-ino, nep-ipr, nep-pr~, nep-knm and nep-sbm
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https://www2.census.gov/ces/wp/2014/CES-WP-14-42.pdf First version, 2014 (application/pdf)
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Persistent link: https://EconPapers.repec.org/RePEc:cen:wpaper:14-42
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