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

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

No 876, Boston College Working Papers in Economics from Boston College Department of Economics

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 L6 O32 O52 (search for similar items in EconPapers)
Date: 2015-05-29
New Economics Papers: this item is included in nep-cse, nep-ecm, nep-eff, nep-ino, nep-knm and nep-sbm
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Citations: View citations in EconPapers (5)

Published, Economics of Innovation and New Technology, 2017, 26:1-2, 121-133

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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:boc:bocoec:876

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