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The Happy Artist? An Empirical Application of the Work-Preference Model


Lasse Steiner


University of Zurich

Lucian Schneider


affiliation not provided to SSRN

February 1, 2012

SOEPpaper No. 430

Abstract:     
The artistic labor market is marked by several adversities, such as low wages, above-average unemployment, and constrained underemployment. Nevertheless, it attracts many young people. The number of students exceeds the available jobs by far. A potential explanation for this puzzle is that artistic work might result in exceptionally high job satisfaction, a conjecture that has been mentioned at various times in the literature. We conduct the first direct empirical investigation of artists’ job satisfaction. The analysis is based on panel data from the German Socio-Economic Panel Survey (SOEP). Artists on average are found to be considerably more satisfied with their work than non-artists, a finding that corroborates the conjectures in the literature. Differences in income, working hours, and personality cannot account for the observed difference in job satisfaction. Partially, but not fully, the higher job satisfaction can be attributed to the higher self-employment rate among artists. Suggestive evidence is found that superior “procedural” characteristics of artistic work, such as increased variety and on-the-job learning, contribute to the difference in job satisfaction.

Number of Pages in PDF File: 34

Keywords: job satisfaction, artists, work-preference, cultural economics

JEL Classification: Z10, J24, J28, J31

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Date posted: February 11, 2012  

Suggested Citation

Steiner, Lasse and Schneider, Lucian, The Happy Artist? An Empirical Application of the Work-Preference Model (February 1, 2012). SOEPpaper No. 430. Available at SSRN: http://ssrn.com/abstract=2002724 or http://dx.doi.org/10.2139/ssrn.2002724

Contact Information

Lasse Steiner (Contact Author)
University of Zurich ( email )
Rämistrasse 71
Zürich, CH-8006
Switzerland
Lucian Schneider
affiliation not provided to SSRN ( email )
Feedback to SSRN (Beta)


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