Employment Effect of Innovation

d'Artis Kancs and Boriss Siliverstovs

No 333041, Conference papers from Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project

Abstract: We provide a novel evidence about the innovation-employment nexus by decomposing it by R&D intensity in a continuous setup and relaxing the linearity assumption. Using a large international firm-level panel data set for OECD countries and employing a flexible semi-parametric method - the generalised propensity score - allows us to recover the full functional relationship between the R&D-driven innovation and firm employment as well as address important econometric issues, which is not possible in the standard estimation approach used in the previous literature. Our results confirm that the relationship between innovation and employment entails important non-linearities responsible for significant differences in employment response to innovation at different R&D intensity levels.

Keywords: Labor; and; Human; Capital (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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Related works:
Journal Article: Employment effect of innovation (2020)
Working Paper: Employment Effect of Innovation (2019)
Working Paper: Employment Effect of Innovation (2017)
Working Paper: Employment Effect of Innovation (2015)
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Persistent link: https://EconPapers.repec.org/RePEc:ags:pugtwp:333041

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