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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Research Articles
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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3rd TSI Workshop
Presentations 3rd TSI Workshop Vienna The 3rd TSI Workshop, spanning two days, featured presentations and discussions on various aspects of micro data analysis and the Micro Data…
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4th TSI Workshop
4th TSI Workshop The 4th Technical Support Instrument (TSI) Workshop was a significant event in the TSI program series, focusing on enhancing collaboration among National…
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Compnet Training Program
CompNet Training Program Structure The course is made for autonomous online learning. It is structured in three modules : Beginners, Intermediate and Advanced. Each of them…
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Energy
Energy This research project focused on understanding the various channels through which energy efficiency is achieved within firms. The study aims to investigate these channels…
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Trade and Competitiveness
Trade and Competitiveness The investigation delves into the mechanisms through which productivity diffuses within Global Value Chains (GVC), assessing how national firms respond…
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MDI Program
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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Firm Training, Automation, and Wages: International Worker-Level Evidence
Oliver Falck, Yuchen Guo, Christina Langer, Valentin Lindlacher, Simon Wiederhold
IWH Discussion Papers,
No. 27,
2024
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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The Network
About IWH CompNet The Competitiveness Research Network (CompNet) is a leading European research initiative dedicated to advancing the understanding of competitiveness and…
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