论文标题

学习新技能什么时候有回报?揭示交叉杀伤的互补益处

When Does it Pay Off to Learn a New Skill? Revealing the Complementary Benefit of Cross-Skilling

论文作者

Stephany, Fabian

论文摘要

这项工作研究了从不同领域学习新技能的经济利益:跨技巧。为了评估这一点,构建了14,790个在线自由职业者的工作资料中的技能网络。基于这个技能网络,揭示了3,480个不同技能之间的关系,学习的边际影响可以通过工人的工资来计算新技能。结果表明,学习中的技能(例如流行的编程语言)一般是有益的,而且多样化的技能集也倾向于有利可图。但是,新技能的经济利益是个体,因为它补充了每个工人的现有技能束。由于技术和社会转型正在以快速的速度重新装修工作的任务概况,因此这项研究的结果有助于阐明设计个人重新技能途径所需的技能集。这可以帮助提高就业能力并减少劳动力市场短缺。

This work examines the economic benefits of learning a new skill from a different domain: cross-skilling. To assess this, a network of skills from the job profiles of 14,790 online freelancers is constructed. Based on this skill network, relationships between 3,480 different skills are revealed and marginal effects of learning a new skill can be calculated via workers' wages. The results indicate that learning in-demand skills, such as popular programming languages, is beneficial in general, and that diverse skill sets tend to be profitable, too. However, the economic benefit of a new skill is individual, as it complements the existing skill bundle of each worker. As technological and social transformation is reshuffling jobs' task profiles at a fast pace, the findings of this study help to clarify skill sets required for designing individual re-skilling pathways. This can help to increase employability and reduce labour market shortages.

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