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Craveiro, D., Botelho, M.C., Botelho, M. C., Mauritti, R & Nunes, N. (2018). The inequality effect in the well-being of European OECD countries: a new perspective on data addressing the multidimensionality of the concepts. 16th edition of the IAOS Conference, Better Statistics for Better Lives.

D. M. Craveiro et al.,  "The inequality effect in the well-being of European OECD countries: a new perspective on data addressing the multidimensionality of the concepts", in 16th edition of the IAOS Conf., Better Statistics for Better Lives, Paris, 2018

@misc{craveiro2018_1732422010551,
	author = "Craveiro, D. and Botelho, M.C. and Botelho, M. C. and Mauritti, R and Nunes, N.",
	title = "The inequality effect in the well-being of European OECD countries: a new perspective on data addressing the multidimensionality of the concepts",
	year = "2018",
	howpublished = "Ambos (impresso e digital)",
	url = "http://www.oecd.org/iaos2018/"
}

TY  - CPAPER
TI  - The inequality effect in the well-being of European OECD countries: a new perspective on data addressing the multidimensionality of the concepts
T2  - 16th edition of the IAOS Conference, Better Statistics for Better Lives
AU  - Craveiro, D.
AU  - Botelho, M.C.
AU  - Botelho, M. C.
AU  - Mauritti, R
AU  - Nunes, N.
PY  - 2018
CY  - Paris
UR  - http://www.oecd.org/iaos2018/
AB  - Social inequality refers to the uneven distribution of resources in a society that can lead to systematically and unfair advantages/disadvantages in peoples’ life circumstances and opportunities. In populations all over the world, people with fewer resources have worse chances in life, health and well-being. Additionally, inequality hinders not only the people on the bottom of the social rank, but also the general population: in more unequal societies there is a higher incidence of a wide range of health and social problems such as criminality and poverty, fewer chances of economic growth, and higher unbalances in political representation, that can seriously undermine the fairness of political and economic institutions. Despite the consistence of its implications, social inequality is not a one-dimensional construct. Addressing social inequalities, implies not only addressing the degree of concentration or dispersion of valued goods, but also the correlation among these valuable features, and their plural implications in peoples' life circumstances – a multidimensional approach of social inequality is therefore advised.
We explore the well-being inequalities in Europe building upon the OECD Framework For Measuring Well-Being And Progress. In this scope, well-being is understood as a multidimensional concept, framed by material conditions, quality of life and sustainability, and expressed by eleven well-being dimensions – income and wealth, jobs and earnings, housing, health, education, work-life balance, environment, social connections, civic engagement, safety and subjective well-being. Taking European Social Survey as the main empirical source, the interplay between key distributional (education, income) and categorical (gender, social class) dimensions of social inequalities in well-being and well-being profiles was studied, under two levels of analysis of the OECD European social space – transnational (across individuals) and national (across countries). 
Social inequalities on well-being scores and well-being profiles were identified. Higher education, higher income, and belonging to a more privileged social class positively influence well-being; men tend to present higher well-being than women. The four well-being profiles identified among Europeans were shown to be clearly structured by social inequalities, opposing higher- and lower- qualified socio-occupations, and males and females' life circumstances (Low-wage earners well-being profile, Elite well-being profile, Female well-being profile, Male well-being profile). At a country level, profiles are mostly defined in terms of volume of well-being, expressing regional affiliations (with a exception of one profile) and asymmetries of income, education, and class structures (Nordic high-rank well-being profile; Central Europe medium-rank well-being profile; Southern Europe medium-rank well-being profile; Eastern Europe low-rank well-being profile; Social disengagement low-rank well-being profile). 
The developed analysis confirms the existence of multidimensional intersections between well-being and categorical and distributive social structuring variables.

ER  -