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Non-Cognitive Skills in Training Curricula and Heterogeneous Wage Returns

Fabienne Kiener, Ann-Sophie Gnehm and Uschi Backes-Gellner

No 175, Economics of Education Working Paper Series from University of Zurich, Department of Business Administration (IBW)

Abstract: For non-cognitive skills, economics research has focused primarily on social skills as one element. One important, largely unexplored element is self-competence, the ability to act responsibly for oneself. We therefore study returns to self-competence adding heterogeneous and complementary returns to the literature on non-cognitive skills. Using texts of training curricula as data source, we apply machine-learning methods to identify self-competence in occupations. Combining these measures with labor market data, we find heterogeneous returns to self-competence: A medium level of self-competence has the strongest wage returns compared to low or high levels, but with high cognitive requirements also high self-competence pays.

Keywords: non-cognitive skills; human capital; text as data; curricula content analyses; vocational education and training (search for similar items in EconPapers)
JEL-codes: I26 J24 M53 (search for similar items in EconPapers)
Pages: 31 pages
Date: 2020-12
New Economics Papers: this item is included in nep-big, nep-lma and nep-neu
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Persistent link: https://EconPapers.repec.org/RePEc:iso:educat:0175

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