e-Frame European Framework for Measuring Progress

Marche Polytechnic University - UNIVPM

The Polytechnic University of Marche (UNIVPM) ranks among the first Italian universities as teaching excellence. The Faculty of Economics "Giorgio Fuà" of UNIVPM was set up in Ancona in 1959 and soon achieved national renown on account of its innovative study programmes, the quality of its teaching staff, mostly brilliant young professors from the more established Universities and the wide scope of its research endeavours (it published the first reconstruction of the Italian GDP since 1861). The Faculty, renamed Giorgio Fuà after its founder and leading figure for more than 40 years, has consistently been placed amongst the top public universities in the country. The interdisciplinary faculty of the Department of Economics (DEA) brings together economists, statisticians, econometricians and demographers. Research activities of DEA cover a wide range of topics: public finance, welfare measurement and income distribution analysis, Agent Based Modelling, household behaviour modelling, finance and monetary economics, economic development, international economics, public economic policy, statistical methods for economical analysis.


The main tasks attributed to UNIVPM are the following: i) to provide a state-of-the-art in research on alternative measures to GDP. We will focus on measures of deprivation, poverty, social exclusion and well-being in order to include them into a broader definition of well-being itself. We will provide a synthesis of scientific results from recent and on-going research and will collect and assess key output from recent literature in this area; ii) to analyse pros and cons of GDP. We will discuss about GDP being a flow and not a stock: as such it does not take into account the country specific endowments (its history, its feature, its circumstances), but also the nature of the environment as an intangible asset. A measure of welfare should take into account also the individual stock (private or public) debt; iii) to improve indicators, methods and models used in economics related to economic performance and social progress beyond GDP and to propose alternative indicators to GDP for measuring well-being. We will further develop the widespread idea that inequality, poverty and social exclusion are multi-dimensional rather than uni-dimensional concepts. A comprehensive approach should rely on the statistical multivariate analysis of the different dimensions of well-being, by including into the analysis the association and correlation among the variables. Since the statistical tools are a legacy of the mainstream economics, time and future are not considered in it. A more accurate measure of welfare should include also the consideration of vulnerability, e.g. the risk of being unemployed. We will develop reliable measures of social insecurity and uncertainty, which can help assessing the level of well-being. The role of Government in providing welfare or/and workfare to protect citizens against the risk of job-loosing as well as the degree of income redistribution by the state will be included in the welfare analysis.



Ms Chiara Gigliarano

Tel: +39 347 1260485






Project Team


Mr Mauro Gallegati

Main scientific contact


Tel: +39 349 3555765



Mr Francesco Chelli

Main administrative contact

Tel: +39 071 2207054