Leading team: Bruegel
The main objective of this work package is to build on existing research to assess the extent to which some (widely used or newly suggested by recent economics literature) country and year-specific competitiveness-related indicators can be systematically derived from data contained within available dataset (at the firm or sectoral level) or from a cross-reference use of available datasets at different levels of aggregation, across the EU and over time.
More specifically, the work package aims at identifying the consistency of the identified datasets with respect to the competitiveness-related goals of the project along two main dimensions. On the one hand, WP3 will capitalize on the information collected in WP2 in order to screen datasets in terms of geographical coverage, time span, and representativeness. The aim is to understand the extent to which country- and year-specific competitiveness-related indicators can be possibly derived across the EU and over time from data contained within existing datasets, thus deriving a sort of ‘competitiveness map’ for the various retrievable indicators across Europe. Special attention will be paid to the regional level, looking at sub-national comparability in the EU.
On the other hand, WP3 will try to understand the extent to which additional competitiveness indicators could be assessed by a proper matching / cross-reference use of available datasets at different levels of aggregation or across countries, as suggested by existing research in the field and on the basis (among others) of the matching analysis developed in WP4. Already existing examples of matched datasets (e.g. linked employer/employee data) can provide valuable guidance for this task.