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- W3116754706 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." @default.
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- W3116754706 date "2020-01-01" @default.
- W3116754706 modified "2023-09-27" @default.
- W3116754706 title "Non-Cognitive Skills in Training Curricula and Heterogeneous Wage Returns" @default.
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