Using the result of a joint paper with Baldazzi and Di Biagio (EI, 2020) I illustrate some drawback in the considering the methodology currently adopted to normalize and aggregate the selected individual indicators included in the Italian well-being.

I present the properties of this methodology looking at different normalization and aggregation approaches and underlining some drawbacks, mostly due to the way in which time dimension, normalization, aggregation and unbalance adjustment interplay with each other.

We argue that new efforts should be done to overcome these drawbacks extending the research agenda toward new non-compensatory approaches.

The final part of the presentation will be related to illustrate some drawbacks in the use of composite indicators and dashboard for policy analysis.

Ph.D. in Economics (University of Rome – La Sapienza), Master in Economics (University of Manchester – UK). Senior researcher at Istat, Italian national institute of statistics.

Head of the Division for data analysis and economic, social and environmental research division. Main activity relate to forecasting, policy evaluation, performance of firms, SDG.

He has been coordinator of the MAKSWELL project and in charge for Istat in several international projects funded by Eurostat and European Commission. Main publications on macroeconometric models and time series, well-being, culture.

Temporary Professor of Time series at University ‘La Tuscia’ Viterbo and Rome 3 – Italy. Referee for International Journals.