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From Data to Labor Market Intelligence : Leveraging Global Best Practices for Effective Labor Market Observatories

Author

Listed:
  • Rivera Guivas, Nayib
  • Morgandi, Matteo
  • Alrayess, Dana Jasmine
  • Loots, Sonja

Abstract

Labor Market Observatories (LMOs) convert data into actionable intelligence for policymakers, employers, educators, and job seekers. Despite their recognized importance, many countries remain locked in fragmented, survey-dependent systems that fall short of the integrated, forward-looking functions that effective labor mar ket governance demands. This paper develops a practical framework for designing and strengthening LMOs across institutional contexts. Drawing on case studies of advanced LMO functions in five high-income countries – Australia Germany, the Republic of Korea, Singapore, and the United Kingdom – it distills transferable lessons organized around five building blocks: mission and policy intent, governance, data infrastructure, analytics capacity, and dissemination. A maturity assessment framework helps countries identify where they stand and how to progress. High-performing LMOs consistently demonstrate a clear legal mandate, interoperable data systems, and credible analytical capacity. There is no single institution al model, but context-sensitive application of these building blocks can substantially strengthen a country's capacity for evidence-based labor market policymaking

Suggested Citation

  • Rivera Guivas, Nayib & Morgandi, Matteo & Alrayess, Dana Jasmine & Loots, Sonja, 2026. "From Data to Labor Market Intelligence : Leveraging Global Best Practices for Effective Labor Market Observatories," The Social Policy and Labor Discussion Paper Series 211679, The World Bank.
    • Handle: RePEc:wbk:hdnspu:211679
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