L
Luca Stanca
Researcher at University of Milan
Publications - 89
Citations - 2548
Luca Stanca is an academic researcher from University of Milan. The author has contributed to research in topics: Subjective well-being & Happiness. The author has an hindex of 25, co-authored 89 publications receiving 2244 citations. Previous affiliations of Luca Stanca include University of Milano-Bicocca.
Papers
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Journal ArticleDOI
Watching alone: Relational goods, television and happiness
Luigino Bruni,Luca Stanca +1 more
TL;DR: This paper investigated the role of relational goods for subjective well-being and found that relational goods have a significant effect on life satisfaction, while television viewing plays a key role in crowding-out relationality.
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The Effects of Attendance on Academic Performance: Panel Data Evidence for Introductory Microeconomics
TL;DR: The authors used a large panel data set for introductory microeconomics students to explicitly take into account the effect of unobservable factors correlated with attendance, such as ability, effort, and motivation.
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Suffer the little children: Measuring the effects of parenthood on well-being worldwide
TL;DR: In this paper, the relationship between parenthood and well-being in a large sample of individuals from 94 countries worldwide was investigated, and it was shown that having children is negatively related to well being.
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Connecting alone: Smartphone use, quality of social interactions and well-being
TL;DR: In this article, the authors investigated the role played by the smartphone for the quality of social interactions and subjective well-being and found that time spent with friends is worth less, in terms of life satisfaction, for individuals who use the smartphone.
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Income Aspirations, Television and Happiness: Evidence from the World Values Survey
Luigino Bruni,Luca Stanca +1 more
TL;DR: In this article, the effect of income on both life and financial satisfaction is significantly smaller for heavy television viewers, relative to occasional viewers, and this finding is robust to a number of specification checks and alternative interpretations.