Cross-border commuting is highly relevant for labour market development, transport policy, service provision and territorial development in many European border regions. Yet in many cases, policy decisions are still made without a clear and comparable statistical picture of these flows.
Producing such data with a high territorial resolution is not straightforward. Differences in definitions and institutional settings exist between NSIs and social security administration. Furthermore, using administrative data for cross-border commuter statistics is still a relatively new approach in many countries.
This is where experimental statistics become important. They enable us to test methods in practice and demonstrate what can be achieved with limited effort. Our project, which is reaching ist final stage, shows exactly that: the production of cross-border commuter statistics based on administrative data can be relatively straightforward and deliver policy-relevant results.
Experimental statistics are therefore not an end in themselves, but a necessary step. They demonstrate what is feasible, highlight the main challenges and allow to further tailor methodological approaches. Based on them we can establish whether the results are useful, if they require any further tailoring and how can next steps towards regular, official statistical production look like.
Curious about our project?
The Cross-Border Data Collection Project is commissioned by DG REGIO and carried out by a consortium led by ÖIR GmbH, in collaboration with Statistics Netherlands, and supported by INSEE and Statistics Denmark. For more information on the project or our methods, please reach out to our team at crossborderdata@cbs.nl
- Anmelden, um Kommentare zu posten.