A New Approach to Estimation of the R&D-Innovation-Productivity Relationship

Christopher Baum, Hans Lööf (), Pardis Nabavi and Andreas Stephan

No 408, Working Paper Series in Economics and Institutions of Innovation from Royal Institute of Technology, CESIS - Centre of Excellence for Science and Innovation Studies

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 and knowledge levels. The model accounts for selectivity and handles the endogeneity of this relationship in a recursive framework. Employing a panel of Swedish firms observed in three consecutive Community Innovation Surveys, our maximum likelihood estimates show that many key channels of influence among the model's components differ meaningfully in their statistical significance and magnitude across sectors defined by different technology levels.

Keywords: R&D; Innovation; Productivity; Generalized Structural Equation Model; Community Innovation Survey (search for similar items in EconPapers)
JEL-codes: C23 L60 O32 O52 (search for similar items in EconPapers)
Pages: 22 pages
Date: 2015-06-01
New Economics Papers: this item is included in nep-cse, nep-eff, nep-ino, nep-knm, nep-sbm and nep-tid
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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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)
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Persistent link: https://EconPapers.repec.org/RePEc:hhs:cesisp:0408

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