Employment Effect of Innovation

Arbeitspapier

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.

Objekt anzeigen

• ISBN: 978-92-76-00041-9
• Sprache: Englisch

Verweise und Beziehungen

• Erschienen in: Series: JRC Working Papers in Economics and Finance ; No. 2019/2

Klassifikation und Themen

• Klassifikation: Wirtschaft ; Semiparametric and Nonparametric Methods: General ; Single Equation Models; Single Variables: Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions ; Multinational Firms; International Business ; Demand and Supply of Labor: General ; Labor Demand ; Innovation; Research and Development; Technological Change; Intellectual Property Rights: General ; Management of Technological Innovation and R&D ; Technological Change: Choices and Consequences; Diffusion Processes
• Thema: R&D investment ; employment ; propensity score ; firm-level data

Beteiligte, Orts- und Zeitangaben

• Ereignis: Geistige Schöpfung
• (wer): Kancs, d'Artis ; Siliverstovs, Boriss
• Ereignis: Veröffentlichung
• (wer): Publications Office of the European Union
• (wo): Luxembourg
• (wann): 2019

Weitere Informationen

• DOI: doi:10.2760/52757
• Handle: http://hdl.handle.net/10419/202308