Measuring objective and subjective well-being: dimensions and data sources

By Vasiliki Voukelatou, L. Gabrielli, Ioanna Miliou, Stefano Cresci, Rajesh Sharma, Maurizio Tesconi, Luca Pappalardo. International Journal of Data Science and Analysis, 2020

312 citations recorded by the source corpus.

Well-being is an important value for people’s lives, and it could be considered as an index of societal progress. Researchers have suggested two main approaches for the overall measurement of well-being, the objective and the subjective well-being. Both approaches, as well as their relevant dimensions, have been traditionally captured with surveys. During the last decades, new data sources have been suggested as an alternative or complement to traditional data. This paper aims to present the theoretical background of well-being, by distinguishing between objective and subjective approaches, their relevant dimensions, the new data sources used for their measurement and relevant studies. We also intend to shed light on still barely unexplored dimensions and data sources that could potentially contribute as a key for public policing and social development.

Subfields: Applied Psychology, Health, Social Psychology

View Paper: https://www.semanticscholar.org/paper/75ee9993cade9df948485d52bfb983506e6a7fe3

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Citations in the corpus

A Survey on Deep Learning for Human Mobility (2020, background): “, the COVID-19 pandemic) [105, 109, 131, 134, 145, 159], the behavior of people in case of natural disasters [87, 178, 204], the public and private transportation and the resulting traffic volumes [34, 61, 98, 156], the well-being of citizens [141, 179, 197].”
A Deep Gravity model for mobility flows generation (2020, background): “Most of ’ s population live now in urban areas, whose evolution in structure and size in ﬂ uences crucial aspects of our society such as the objective and subjective well-being 6 – 11 and the diffusion of innovations 4,12,13 .”