C
Claudia Senik
Researcher at Paris School of Economics
Publications - 134
Citations - 4781
Claudia Senik is an academic researcher from Paris School of Economics. The author has contributed to research in topics: Happiness & Income distribution. The author has an hindex of 30, co-authored 130 publications receiving 4364 citations. Previous affiliations of Claudia Senik include École Normale Supérieure & Sorbonne.
Papers
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Journal ArticleDOI
Who compares to whom? The anatomy of income comparisons in Europe
Andrew E. Clark,Claudia Senik +1 more
TL;DR: The authors found that the rich compare less and are more happy than average when they do, which is consistent with relative income theory, while those who compare to colleagues are happier than those who compared to other benchmarks; comparisons to friends are both less widespread and are associated with the lowest well-being scores.
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When information dominates comparison
TL;DR: In this paper, a micro-econometric evaluation of the relation between life satisfaction and income distribution, using a balanced panel survey of the Russian population, Russian longitudinal monitoring survey (RLMS), running from 1994 to 2000, covering 4685 individuals.
Journal ArticleDOI
When Information Dominates Comparison. Learning from Russian Subjective Panel Data
Claudia Senik,Claudia Senik +1 more
TL;DR: In this paper, a micro-econometric investigation into the relation between subjective life satisfaction and income distribution, using a balanced panel survey of the Russian population (RLMS), running from 1994 to 2000, including 4096 individuals.
Posted Content
Direct Evidence on Income Comparisons and Their Welfare Effects
TL;DR: In this article, the authors provide evidence that comparisons exert a significant effect on subjective well-being and evaluate the relative importance of different types of benchmarks, including internal and external benchmarks.
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Income distribution and well‐being: what can we learn from subjective data?
TL;DR: In this article, a survey of the empirical literature stresses the contribution of subjective data to the understanding of this issue, with an attempt to disentangle direct effects (preference interdependence) from indirect informational effects.