Please use this identifier to cite or link to this item:
|Title:||Statistical Tests on the Global Innovation Index|
|Authors:||SAISANA Michaela; FILIPPAS DIONYSIOS|
|Publisher:||INSEAD and the World Intellectual Property Organization co-publishers|
|Type:||Articles in periodicals and books|
|Abstract:||The assessment of conceptual and statistical coherence of the Global Innovation Index (GII) and the estimation of the impact of modelling assumptions on a country’s performance are necessary steps to ensure the transparency and reliability of the GII and enable policy makers to derive more accurate and meaningful conclusions and potentially guide choices on priority setting and policy formulation. Modelling the versatile concepts underlying innovation at national scale around the globe, as attempted in the GII, raises practical challenges related to the quality of data and the combination of these into a single number. The Econometrics and Applied Statistics Unit at the European Commission Joint Research Centre ( JRC) in Ispra (Italy) was invited for a second consecutive year by INSEAD and the World Intellectual Property Organization (WIPO) to audit the GII along two main issues: the conceptual and statistical coherence of the structure, and the impact of key modelling assumptions on the GII 2012 scores and ranks.|
|JRC Institute:||Space, Security and Migration|
Files in This Item:
There are no files associated with this item.
Items in repository are protected by copyright, with all rights reserved, unless otherwise indicated.