KTH/CESIS Working Paper Series in Economics and Institutions of Innovation
Christopher F Baum
A New Approach to Estimation of the R&D-Innovation-Productivity Relationship
(), Hans Lööf
(), Pardis Nabavi
() and Andreas Stephan
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; (follow links to similar papers)
JEL-Codes: C23; L60; O32; O52; (follow links to similar papers)
22 pages, June 1, 2015
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