Published in:IPTS Working Papers on Corporate R&D and Innovation ; No. 03/2016
Extent:
1 Online-Ressource (27 p)
Language:
English
Origination:
Footnote:
Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments 2016 erstellt
Description:
Understanding causal relationships among key economic variables is crucial for policy makers, who wish to e.g. stimulate private R&D growth. To this end, we applied a technique recently imported from the Machine Learning community (Structural Vector Autoregressions (SVARs) identified using Independent Components Analysis (ICA)) to a set of the world's largest R&D investors. Our analysis highlights the key role of sales growth, rather than profits growth, in stimulating R&D growth. R&D growth appears at the end of the causal ordering of the growth process. Our results suggest that policies to increase private R&D would do better to target sales rather than profits