Individualism and the Formation of Human Capital
Katharina Hartinger, Sven Resnjanskij, Jens Ruhose, Simon Wiederhold
Journal of the European Economic Association,
forthcoming
Abstract
More individualistic countries experience higher economic growth. We provide evidence for a human-capital-based explanation of the growth effects of individualism. Using data from the largest international adult skill assessment, we establish that individualism shapes human capital formation. We identify the effects of individualism by exploiting variation between migrants at the origin-country, origin-language, and person level. Migrants from more individualistic cultures have higher cognitive skills and larger skill gains over time. They also invest more in their skills over the life cycle, as they acquire more years of schooling and are more likely to participate in adult education activities. Individualism is more important in explaining adult skill formation than any other cultural trait that previous literature has emphasized. In the labor market, more individualistic migrants earn higher wages and are less often unemployed. We show that our results cannot be explained by selective migration or omitted origin-country variables.
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Firm Training, Automation, and Wages: International Worker-Level Evidence
Oliver Falck, Yuchen Guo, Christina Langer, Valentin Lindlacher, Simon Wiederhold
Research Policy,
Vol. 55 (3),
2026
Abstract
Firm training is widely regarded as crucial for protecting workers from automation, yet there is a lack of empirical evidence to support this belief. Using internationally harmonized data from over 90,000 workers across 37 industrialized countries, we construct an individual-level measure of automation risk based on tasks performed at work. Our analysis reveals substantial within-occupation variation in automation risk, overlooked by existing occupation-level measures. To assess whether firm training mitigates automation risk, we exploit within-occupation and within-industry variation. Additionally, we employ entropy balancing to re-weight workers without firm training based on a rich set of background characteristics, including tested numeracy skills as a proxy for unobserved ability. We find that training reduces workers’ automation risk by 3.8 percentage points, equivalent to 8% of the average automation risk. The training-induced reduction in automation risk accounts for 15% of the wage returns to firm training. Firm training is effective in reducing automation risk and increasing wages across nearly all countries, underscoring the external validity of our findings. Training is similarly effective across gender, age, and education groups, suggesting widely shared benefits rather than gains concentrated in specific demographic segments.
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Kalifornische Inspirationen
Simon Wiederhold
Wirtschaft im Wandel,
No. 2,
2025
Abstract
Wissenschaft lebt vom Austausch kluger Köpfe über Grenzen hinweg. IWH-Ökonom Simon Wiederhold hat vier Wochen an der Stanford University geforscht. Einblicke in eine höchst anregende Erfahrung.
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Research Articles Explore cutting-edge research based on CompNet’s micro-aggregated firm-level data and related analytical tools. These articles cover empirical and theoretical…
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Micro-data Infrastructure (MDI) Training The MDI Training is a three-session program designed to equip researchers (NPBs) with the skills to effectively work with cross-country…
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Training
Comprehensive Training Programs: CompNet and MDI Welcome to our Training Programs, designed to empower participants with the knowledge and skills needed for productivity analysis…
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