A New Approach to Estimation of the R&D-Innovation-Productivity Relationship
Andreas Stephan,
Christopher Baum,
Pardis Nabavi and
Hans Lööf ()
No 8868, EcoMod2015 from EcoMod
Abstract:
We evaluate a Generalized Structural Equation Model (GSEM) approach to the estimation of the relationship between R&D, innovation and productivity that focuses on the potentially crucial heterogeneity across technology levels and sectors. see above see above
Keywords: Sweden; Growth; Macroeconometric modeling (search for similar items in EconPapers)
JEL-codes: C00 L00 O00 (search for similar items in EconPapers)
Date: 2015-07-01
New Economics Papers: this item is included in nep-cse, nep-ecm, nep-eff, nep-ino, nep-knm and nep-sbm
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)
Downloads: (external link)
http://ecomod.net/system/files/Andreas_Stephan%20paper.pdf
Our link check indicates that this URL is bad, the error code is: 403 Forbidden (http://ecomod.net/system/files/Andreas_Stephan%20paper.pdf [301 Moved Permanently]--> https://ecomod.net/system/files/Andreas_Stephan%20paper.pdf)
Related works:
Journal Article: A new approach to estimation of the R&D–innovation–productivity relationship (2017) 
Working Paper: A New Approach to Estimation of the R&D-Innovation-Productivity Relationship (2015) 
Working Paper: A New Approach to Estimation of the R&D-Innovation-Productivity Relationship (2015) 
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:ekd:008007:8868
Access Statistics for this paper
More papers in EcoMod2015 from EcoMod Contact information at EDIRC.
Bibliographic data for series maintained by Theresa Leary ().