van den Brakel, J., de Jong, T., Smith, P.A., Tzavidis, N., Bacchini, F., Di Consiglio, L., Ferruzza, A., Palma, A.L., Tagliacozzo, G., Tuoto, T., Köhlmann, M., Rosenski, N., Schartner, C., Caratiola, C., Ertz, F., Güdemann, L., Munnich, R., Giusti, C. and Pratesi, M. (2020) Deliverable 2.3 - Research needs in terms of statistical methodologies and new data Makswell 61pp.
Abstract
The MAKSWELL project was set up to help strengthening the use of evidence and information on well-being and sustainability for policy-making in the EU, as also the political attention to well-being and sustainability indicators has been increasing in recent years. Traditionally sample surveys are the data source used for measurement frameworks for well-being and sustainability. Over the last decades more and more new, alternative data sources become available. Examples are administrative data like tax registers, or other large data sets - so called big data - that are generated as a by-product of processes not directly related to statistical production purposes. In Deliverables 2.1, 2.2 as well as 3.1, 4.1 and 4.3 it is discussed in detail how these new data sources can be used in the production of official statistics and measurement frameworks for well-being and sustainability indicators. This Deliverable extends on the experiences obtained in these preceding deliverables by pointing out the needs for new data sources and methods in this context.
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