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arxiv: 2507.05846 · v1 · pith:BXC4BBDVnew · submitted 2025-07-08 · 💰 econ.GN · physics.soc-ph· q-fin.EC

A job-based assessment of economic complexity: from hidden to revealed

classification 💰 econ.GN physics.soc-phq-fin.EC
keywords complexityeconomicjob-basedrevealedassessmentgrowthhiddenindustries
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Economic complexity measures aim to quantify the capability content or endowment of industries and territories; however, capabilities are not observable, and therefore cannot be directly used in the computations. We estimate such endowments by quantifying the quality and diversity of the skills in the occupations required in specific industries. We refer to this job-based assessment as the hidden complexity, in contrast with the usual revealed complexity, which is computed from economic outputs such as exports or production. We show that our job-based measure of complexity is positively associated to wage levels and labor productivity growth, whereas the classic revealed measure is not. Finally, we discuss the application of these methods at the territorial level, showing their connection with economic growth.

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Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. Economic complexity at subnational level: A consistency analysis

    econ.GN 2026-06 unverdicted novelty 4.0

    Subnational applications of economic complexity measures are inconsistent across scales, while a new exogenous measure provides consistent estimates aligned with standard economic indicators.