for their comments and input during the preparation of the study. The collaboration and the expertise of Paulo Santiago and Thomas Wecko were also particularly useful, as well as comments we received from other colleagues of the OECD Directorate for Education. The comments of Paul Swain and Sven Blondal were particular useful to prepare the final version of this article. The views expressed here are those of the authors and do not necessarily represent those of the OECD or its member countries.

This paper builds a welfare measure encompassing household disposable income, unemployment and longevity, while using two different sets of "shadow prices" for non-income variables. The valuations of vital and unemployment risks estimated from life satisfaction data ("subjective shadow prices") and those derived from model-based approaches and calibrated utility functions ("model-based shadow prices") are shown to be broadly consistent once a number of conditions are fulfilled. Subjective shadow prices appear to be inflated by the downward bias on the income variable in life satisfaction regressions conducted at the individual level, while the latter bias is largely removed when running regressions at the country level. On the other hand, model-based shadow prices are typically underestimated as: (i) the valuation of the unemployment risk is assumed to take place under the veil of ignorance (i.e. for a representative agent that has no information on her current or future unemployment situation); (ii) the standard model relies on a constant relative risk aversion utility function, which has no specific relative risk aversion parameter for unemployment and vital risks; (iii) the value of statistical life that is used in standard calibration pertains to the adult lifespan, while life expectancy at birth covers the entire lifetime.

This paper presents some of the main features of recent OECD work on people's well‐being and societies' progress. After discussing the main limitations of GDP as a measure of ‘welfare’, the paper presents the multidimensional framework and rationale underpinning the OECD Better Life Initiative, and describes how this framework aims to overcome the limitations of GDP. The paper also presents some of the evidence from the OECD ‘Better Life Index’, an interactive tool that allows citizens to compare countries according to their own views and preferences on the relative importance of the different aspects of human well‐being.

The OECD Better Life Index is an interactive composite index that aggregates a country's well-being outcomes through the weights defined by online users. This paper analyses these weights by analysing the responses given by close to 88,000 users since 2011 to date. The contribution of this paper is threefold. First, it investigates the factors shaping users' preferences over a set of 11 well-being dimensions, while most of the previous empirical works in the area have focused on factors affecting support for a specific well-being domain (e.g. redistribution, environmental concerns) at a time. Second, it provides insights into users' preferences for a large group of countries, which differ in terms of culture and living conditions. Third, a finite mixture model (FMM) approach is used to test for heterogeneity in the effect of satisfaction levels on the weight attached to a given BLI dimension across sub-population groups. Various empirical models are used to identify responses' patterns and see whether they can be accounted for respondents' characteristics and their perceived level of well-being. The paper finds that health, education and life satisfaction are the aspects that matter the most in OECD countries. Descriptive statistics show that men assign more importance to material conditions than women; while women in general value quality of life more than men. Environment, housing, civic engagement, safety and health become more important with age, while life satisfaction, education, work-life balance, jobs and income are particularly important for those younger than 35. There are also regional patterns in users' findings, for instance civic engagement is particularly important in South America, while safety and work-life balance matter tremendously in Asia-Pacific. Furthermore, an additional analysis carried out on a subset of observations finds that for several well-being dimensions (i.e. jobs, housing, community, health, education, civic engagement, safety, life satisfaction and work-life balance) there is a positive and linear relationship between individual preferences and self-& Elena Tosetto

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