Not All Are Equal: A Latent Profile Analysis of Well-Being Among the Self-Employed

Aleksandra Bujacz (), Constanze Eib () and Susanna Toivanen
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Aleksandra Bujacz: Karolinska Institutet
Constanze Eib: Uppsala University
Susanna Toivanen: Mälardalen University

Journal of Happiness Studies, 2020, vol. 21, issue 5, No 7, 1680 pages

Abstract: Abstract This study uses a person-centered approach to distinguish between subpopulations of self-employed individuals using multidimensional well-being indicators. Data were obtained from European Social Survey including a sample of 3461 self-employed individuals from 29 European countries. The analysis has empirically identified six distinct profiles named ‘unhappy’, ‘languishing’, ‘happy’, ‘satisfied’, ‘passionate’, and ‘flourishing’. The profiles were associated with significant differences in well-being, health and work-related variables. The results highlight the heterogeneity of the self-employed population, and describe the complex—both hedonic and eudaimonic—character of the well-being concept in this population.

Keywords: Well-being; Self-employment; Person-centered; Latent profile analysis (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (2)

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DOI: 10.1007/s10902-019-00147-1

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