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What is the price of a skill? The value of complementarity

Author

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  • Stephany, Fabian
  • Teutloff, Ole

Abstract

The global workforce is urged to constantly reskill, as technological change favours particular new skills while making others redundant. But which skills are a good investment for workers and firms? As skills are seldomly applied in isolation, we propose that complementarity strongly determines a skill's economic value. For 962 skills, we demonstrate that their value is determined by complementarity – that is, how many different skills, ideally of high value, a competency can be combined with. We show that the value of a skill is relative, as it depends on the skill background of the worker. For most skills, their value is highest when used in combination with skills of a different type. We put our model to the test with a set of skills related to Artificial Intelligence (AI). We find that AI skills are particularly valuable – increasing worker wages by 21 % on average – because of their strong complementarities and their rising demand in recent years. The model and metrics of our work can inform the policy and practice of digital re-skilling to reduce labour market mismatches. In cooperation with data and education providers, researchers and policy makers should consider using this blueprint to provide learners with personalised skill recommendations that complement their existing capacities and fit their occupational background.

Suggested Citation

  • Stephany, Fabian & Teutloff, Ole, 2024. "What is the price of a skill? The value of complementarity," Research Policy, Elsevier, vol. 53(1).
  • Handle: RePEc:eee:respol:v:53:y:2024:i:1:s0048733323001828
    DOI: 10.1016/j.respol.2023.104898
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    Cited by:

    1. Johann Laux & Fabian Stephany & Alice Liefgreen, 2023. "The Economics of Human Oversight: How Norms and Incentives Affect Costs and Performance of AI Workers," Papers 2312.14565, arXiv.org.

    More about this item

    Keywords

    Artificial intelligence; Automation; Complementarity; Future of work; Human capital; Networks; Skills;
    All these keywords.

    JEL classification:

    • J01 - Labor and Demographic Economics - - General - - - Labor Economics: General
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • J46 - Labor and Demographic Economics - - Particular Labor Markets - - - Informal Labor Market
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access

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